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23:52:51 +1000 Subject: [PATCH 02/44] Changed linters to uv, ruff and ty. Removed types-pytz from linters --- pyproject.toml | 111 +++++++++++++++++-------------------------------- 1 file changed, 37 insertions(+), 74 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index af051f6..3473f37 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,35 +23,35 @@ classifiers = [ "Programming Language :: Python :: 3.14", ] dependencies = [ - "deprecated>=1.3.1,<2", - "networkx>=3.1,<4", - "numpy>=1.26,<2", - "orjson>=3.9,<4", - "pandas>=2.1,<3", - "plotly>=5.22,<6", - "pydantic>=1.10,<2", - "pyomo>=6.6,<7", - "scikit-learn>=1.3,<2", - "seaborn>=0.12,<1", - "shortuuid>=1.0.11,<2", - "typing-extensions>=4.7,<5", - "scipy>=1.14.1,<2", + "deprecated>=1.3.1,<2", + "networkx>=3.1,<4", + "numpy>=1.26,<2", + "orjson>=3.9,<4", + "pandas>=2.1,<3", + "plotly>=5.22,<6", + "pydantic>=1.10,<2", + "pyomo>=6.6,<7", + "scikit-learn>=1.3,<2", + "seaborn>=0.12,<1", + "shortuuid>=1.0.11,<2", + "typing-extensions>=4.7,<5", + "scipy>=1.14.1,<2", ] requires-python = ">= 3.10" authors = [ - {name = "Ruth Kravis"}, - {name = "Johannes Hendriks"}, - {name = "Anna Skobleva"}, - {name = "Dora He"}, - {name = "Benjamin Weise"}, - {name = "Josh Vote"}, - {name = "Antoine Desmet"}, - {name = "Michael Thomas", email = "michael.thomas@anu.edu.au"}, - {name = "Mike Turner", email = "mike.turner@anu.edu.au"} + { name = "Ruth Kravis" }, + { name = "Johannes Hendriks" }, + { name = "Anna Skobleva" }, + { name = "Dora He" }, + { name = "Benjamin Weise" }, + { name = "Josh Vote" }, + { name = "Antoine Desmet" }, + { name = "Michael Thomas", email = "michael.thomas@anu.edu.au" }, + { name = "Mike Turner", email = "mike.turner@anu.edu.au" }, ] maintainers = [ - {name = "Michael Thomas", email = "michael.thomas@anu.edu.au"}, - {name = "Mike Turner", email = "mike.turner@anu.edu.au"} + { name = "Michael Thomas", email = "michael.thomas@anu.edu.au" }, + { name = "Mike Turner", email = "mike.turner@anu.edu.au" }, ] @@ -64,17 +64,11 @@ Changelog = "https://github.com/bsgip/echo/blob/master/CHANGELOG.md" [dependency-groups] -linters = ["bandit[toml]", "black", "coverage", "flake8", "Flake8-pyproject", "mypy", "pytest-cov","types-pytz" ] -test = ["hypothesis[numpy]", "pytest", "pytest-timeout"] +linters = ["bandit[toml]", "codespell", "coverage", "pytest-cov", "ruff", "ty"] +test = ["hypothesis[numpy]", "pytest", "pytest-timeout", "pytest-xdist"] docs = ["sphinx", "sphinx-rtd-theme"] -dev = [ - {include-group = "linters"}, - {include-group = "test"}, -] -all = [ - {include-group = "dev"}, - {include-group = "docs"}, -] +dev = [{ include-group = "linters" }, { include-group = "test" }] +all = [{ include-group = "dev" }, { include-group = "docs" }] [tool.setuptools.package-data] @@ -88,53 +82,22 @@ readme = { file = ["README.md"], content-type = "text/markdown" } [tool.bandit] exclude_dirs = ["tests"] - -[tool.black] +[tool.ruff] line-length = 120 +[tool.ruff.lint] +select = ["E", "W", "F", "I", "S", "C90", "B", "UP", "ANN", "N"] -# flake8 configuration permitted in pyproject.toml with "Flake8-pyproject". -[tool.flake8] -max-line-length = 120 -max-complexity = 20 -exclude = [ - ".*/", # all hidden folders - "build", - "docs", - "tests", - "scripts", -] - -[tool.isort] -profile = "black" -line_length = 120 - - -[tool.mypy] -exclude = ["docs/", "scripts/"] -check_untyped_defs = true +[tool.ruff.lint.mccabe] +max-complexity = 15 -# This disables the error "Skipping analyzing..." due to a lack of third party stubs / type hints -[[tool.mypy.overrides]] -module = "pyomo.*" -ignore_missing_imports = true - -# This disables the error "Skipping analyzing..." due to a lack of third party stubs / type hints -[[tool.mypy.overrides]] -module = "matplotlib.*" -ignore_missing_imports = true - -# This disables the error "Skipping analyzing..." due to a lack of third party stubs / type hints -[[tool.mypy.overrides]] -module = "networkx.*" -ignore_missing_imports = true +[tool.ruff.lint.per-file-ignores] +"tests/**" = ["S", "ANN", "N"] +[tool.ty.src] +include = ["src", "tests"] [tool.pytest.ini_options] pythonpath = ["src/"] testpaths = "tests" filterwarnings = ["error::DeprecationWarning"] - - - - From fed74526778847fa6e70c05a8c654587b82fe84a Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Fri, 5 Jun 2026 23:53:21 +1000 Subject: [PATCH 03/44] Autoformatting --- src/echo/models/electrical.py | 9 ++++----- src/echo/models/thermal.py | 9 ++++----- 2 files changed, 8 insertions(+), 10 deletions(-) diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index a0b2282..b359534 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -204,12 +204,12 @@ def _check_stateful_attrs_are_not_none(self) -> None: if self.available is None: raise ConfigurationError( - f"The available attribute for {self.node_name} has not been set. " f"Please use set_stateful_attrs()." + f"The available attribute for {self.node_name} has not been set. Please use set_stateful_attrs()." ) if self.usage is None: raise ConfigurationError( - f"The usage attribute for {self.node_name} has not been set. " f"Please use set_stateful_attrs()." + f"The usage attribute for {self.node_name} has not been set. Please use set_stateful_attrs()." ) if self.initial_state_of_charge is None: @@ -245,7 +245,7 @@ def _check_usage_less_than_max_usage(self) -> None: # If the maximum power usage is larger than the usage power limit, raise an error. if max_usage > self.usage_power_limit * -1: raise ValueError( - f"Usage requirement of {max_usage} exceeds battery discharge limit of " f"{self.usage_power_limit}." + f"Usage requirement of {max_usage} exceeds battery discharge limit of {self.usage_power_limit}." ) def _create_usage_port(self) -> None: @@ -892,8 +892,7 @@ def _check_demand_is_not_more_than_max_import(self) -> None: max_demand = np.max(np.array(self.demand)) if max_demand > self.charging_power_limit: raise ValueError( - f"Demand requirement of {max_demand} exceeds maximum charging rate of " - f"{self.charging_power_limit}." + f"Demand requirement of {max_demand} exceeds maximum charging rate of {self.charging_power_limit}." ) def _verify_ports(self) -> None: diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index b8a475b..caca0b1 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -118,7 +118,7 @@ def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd if self.cooling_cop_time_series_ref: if self.cooling_cop_time_series_ref not in profile_df.columns: raise ValueError( - "Could not find reference column name " f"{self.cooling_cop_time_series_ref} in the profile." + f"Could not find reference column name {self.cooling_cop_time_series_ref} in the profile." ) self.cooling_cop_time_series = to_initial_values( profile_df, @@ -610,8 +610,7 @@ def _load_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.Dat if self.ambient_temp_ref: if self.ambient_temp_ref not in profile_df.columns: raise ValueError( - f"Could find reference column name {self.ambient_temp_ref} " - "for ambient temperature in the profile." + f"Could find reference column name {self.ambient_temp_ref} for ambient temperature in the profile." ) else: self.ambient_temp = to_initial_values( @@ -901,7 +900,7 @@ def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd if self.cooling_cop_time_series_ref: if self.cooling_cop_time_series_ref not in profile_df.columns: raise ValueError( - "Could not find reference column name " f"{self.cooling_cop_time_series_ref} in the profile." + f"Could not find reference column name {self.cooling_cop_time_series_ref} in the profile." ) else: self.cooling_cop_time_series = to_initial_values( @@ -914,7 +913,7 @@ def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd if self.heating_cop_time_series_ref: if self.heating_cop_time_series_ref not in profile_df.columns: raise ValueError( - "Could not find reference column name " f"{self.heating_cop_time_series_ref} in the profile." + f"Could not find reference column name {self.heating_cop_time_series_ref} in the profile." ) else: self.heating_cop_time_series = to_initial_values( From 6b1047431cb435e28d4cef21a8ef6ee1eeb05f0a Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 11:39:38 +1000 Subject: [PATCH 04/44] Autoformatting --- .../demand_tariffs_time_periods.ipynb | 279 +++++++++++++++--- .../jupyter_examples/electric_vehicles.ipynb | 36 +-- examples/jupyter_examples/path_tracing.ipynb | 268 ++++++++++++++--- .../jupyter_examples/slack_variables.ipynb | 142 +++++++-- .../jupyter_examples/visualise_network.ipynb | 23 +- 5 files changed, 610 insertions(+), 138 deletions(-) diff --git a/examples/jupyter_examples/demand_tariffs_time_periods.ipynb b/examples/jupyter_examples/demand_tariffs_time_periods.ipynb index 9cd88cc..f6382b0 100644 --- a/examples/jupyter_examples/demand_tariffs_time_periods.ipynb +++ b/examples/jupyter_examples/demand_tariffs_time_periods.ipynb @@ -36,6 +36,7 @@ "from datetime import datetime, timedelta, time\n", "import pandas as pd\n", "import numpy as np\n", + "\n", "np.set_printoptions(suppress=True)" ] }, @@ -82,11 +83,13 @@ "source": [ "num_days = 7\n", "interval_duration = 15 # minutes\n", - "start_date=datetime(2021, 1, 4)\n", + "start_date = datetime(2021, 1, 4)\n", "end_date = start_date + timedelta(days=num_days)\n", "expansion_periods = 1 # Number of planning intervals - in echo V1.1, set to 1 always\n", "\n", - "profile = pd.DataFrame(index=pd.date_range(start=start_date, end=end_date, freq=f'{interval_duration}min', inclusive='left'))\n", + "profile = pd.DataFrame(\n", + " index=pd.date_range(start=start_date, end=end_date, freq=f\"{interval_duration}min\", inclusive=\"left\")\n", + ")\n", "\n", "num_time_periods = len(profile)\n", "\n", @@ -125,23 +128,210 @@ }, "outputs": [], "source": [ - "\n", "test_load = np.array(\n", - " [2.13, 2.09, 2.3, 2.11, 2.2, 2.23, 2.2, 2.15, 2.02, 2.19, 2.19, 2.19, 2.12, 2.15, 2.25, 2.12, 2.21, 2.16,\n", - " 2.26, 2.13, 2.08, 2.15, 2.42, 2.02, 2.3, 2.26, 2.35, 2.55, 3.23, 2.98, 3.49, 3.5, 3.12, 3.52, 3.94, 3.55,\n", - " 3.99, 3.71, 3.38, 3.76, 3.71, 3.78, 3.29, 3.65, 3.61, 3.75, 3.38, 3.66, 3.56, 3.69, 3.3, 3.61, 3.71, 3.82,\n", - " 3.17, 3.69, 3.74, 3.86, 3.57, 3.55, 3.75, 3.6, 3.67, 3.48, 3.51, 3.46, 3.19, 3.38, 3.19, 3.38, 3.04, 3.12,\n", - " 2.91, 3.11, 3.13, 2.77, 2.24, 2.54, 2.24, 2.24, 2.09, 2.33, 2.17, 2.16, 1.97, 2.16, 2.21, 2.18, 2.01, 2.16,\n", - " 2.19, 2.11, 2.17, 2.13, 2.05, 2.19]*num_days)\n", + " [\n", + " 2.13,\n", + " 2.09,\n", + " 2.3,\n", + " 2.11,\n", + " 2.2,\n", + " 2.23,\n", + " 2.2,\n", + " 2.15,\n", + " 2.02,\n", + " 2.19,\n", + " 2.19,\n", + " 2.19,\n", + " 2.12,\n", + " 2.15,\n", + " 2.25,\n", + " 2.12,\n", + " 2.21,\n", + " 2.16,\n", + " 2.26,\n", + " 2.13,\n", + " 2.08,\n", + " 2.15,\n", + " 2.42,\n", + " 2.02,\n", + " 2.3,\n", + " 2.26,\n", + " 2.35,\n", + " 2.55,\n", + " 3.23,\n", + " 2.98,\n", + " 3.49,\n", + " 3.5,\n", + " 3.12,\n", + " 3.52,\n", + " 3.94,\n", + " 3.55,\n", + " 3.99,\n", + " 3.71,\n", + " 3.38,\n", + " 3.76,\n", + " 3.71,\n", + " 3.78,\n", + " 3.29,\n", + " 3.65,\n", + " 3.61,\n", + " 3.75,\n", + " 3.38,\n", + " 3.66,\n", + " 3.56,\n", + " 3.69,\n", + " 3.3,\n", + " 3.61,\n", + " 3.71,\n", + " 3.82,\n", + " 3.17,\n", + " 3.69,\n", + " 3.74,\n", + " 3.86,\n", + " 3.57,\n", + " 3.55,\n", + " 3.75,\n", + " 3.6,\n", + " 3.67,\n", + " 3.48,\n", + " 3.51,\n", + " 3.46,\n", + " 3.19,\n", + " 3.38,\n", + " 3.19,\n", + " 3.38,\n", + " 3.04,\n", + " 3.12,\n", + " 2.91,\n", + " 3.11,\n", + " 3.13,\n", + " 2.77,\n", + " 2.24,\n", + " 2.54,\n", + " 2.24,\n", + " 2.24,\n", + " 2.09,\n", + " 2.33,\n", + " 2.17,\n", + " 2.16,\n", + " 1.97,\n", + " 2.16,\n", + " 2.21,\n", + " 2.18,\n", + " 2.01,\n", + " 2.16,\n", + " 2.19,\n", + " 2.11,\n", + " 2.17,\n", + " 2.13,\n", + " 2.05,\n", + " 2.19,\n", + " ]\n", + " * num_days\n", + ")\n", "\n", "test_pv = 2 * np.array(\n", - " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, 0.23, 0.52,\n", - " 0.74, 0.71, 0.63, 0.68, 0.97, 0.01, 0.52, 0.83, 0.83, 0.79, 1.22, 1.36, 1.27, 1.42, 1.97, 2.56, 2.91, 3.24,\n", - " 3.8, 4.3, 4.62, 4.84, 4.6, 4.17, 3.77, 3.76, 3.38, 2.64, 1.96, 1.76, 1.85, 2.4, 3.82, 5.13, 4.97, 5.02, 5.43,\n", - " 5.32, 3.56, 1.75, 1.43, 1.65, 1.69, 2.3, 2.71, 2.41, 2.63, 2.6, 1.9, 0.78, 0.13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n", - " 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]*num_days)\n", - "test_pv *= -1 # convert solar generation to negative to match convention.\n", - "\n" + " [\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.05,\n", + " 0.23,\n", + " 0.52,\n", + " 0.74,\n", + " 0.71,\n", + " 0.63,\n", + " 0.68,\n", + " 0.97,\n", + " 0.01,\n", + " 0.52,\n", + " 0.83,\n", + " 0.83,\n", + " 0.79,\n", + " 1.22,\n", + " 1.36,\n", + " 1.27,\n", + " 1.42,\n", + " 1.97,\n", + " 2.56,\n", + " 2.91,\n", + " 3.24,\n", + " 3.8,\n", + " 4.3,\n", + " 4.62,\n", + " 4.84,\n", + " 4.6,\n", + " 4.17,\n", + " 3.77,\n", + " 3.76,\n", + " 3.38,\n", + " 2.64,\n", + " 1.96,\n", + " 1.76,\n", + " 1.85,\n", + " 2.4,\n", + " 3.82,\n", + " 5.13,\n", + " 4.97,\n", + " 5.02,\n", + " 5.43,\n", + " 5.32,\n", + " 3.56,\n", + " 1.75,\n", + " 1.43,\n", + " 1.65,\n", + " 1.69,\n", + " 2.3,\n", + " 2.71,\n", + " 2.41,\n", + " 2.63,\n", + " 2.6,\n", + " 1.9,\n", + " 0.78,\n", + " 0.13,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " ]\n", + " * num_days\n", + ")\n", + "test_pv *= -1 # convert solar generation to negative to match convention." ] }, { @@ -158,33 +348,33 @@ "outputs": [], "source": [ "grid = Node(node_name=\"grid\")\n", - "grid.add_port(\n", - " \"grid\", FlexPort(units=Units.KW)\n", - ")\n", + "grid.add_port(\"grid\", FlexPort(units=Units.KW))\n", "\n", "connection_point = TellegenNode(node_name=\"CP\")\n", - "connection_point.add_ports_from_list(['load', 'battery', 'pv', 'grid'], FlexPort, units=Units.KW)\n", + "connection_point.add_ports_from_list([\"load\", \"battery\", \"pv\", \"grid\"], FlexPort, units=Units.KW)\n", "\n", "load = Node(node_name=\"load\")\n", "l1 = ElectricalDemand()\n", "l1.add_demand_profile_from_array(test_load, expansion_periods)\n", - "load.ports['load'] = l1\n", + "load.ports[\"load\"] = l1\n", "\n", "battery = Node(node_name=\"battery\")\n", - "b = ElectricalStorage(max_capacity=15.0,\n", - " depth_of_discharge_limit=0,\n", - " charging_power_limit=1.25,\n", - " discharging_power_limit=-1.25,\n", - " charging_efficiency=1,\n", - " discharging_efficiency=1,\n", - " initial_state_of_charge=0.0)\n", - "battery.ports['battery'] = b\n", + "b = ElectricalStorage(\n", + " max_capacity=15.0,\n", + " depth_of_discharge_limit=0,\n", + " charging_power_limit=1.25,\n", + " discharging_power_limit=-1.25,\n", + " charging_efficiency=1,\n", + " discharging_efficiency=1,\n", + " initial_state_of_charge=0.0,\n", + ")\n", + "battery.ports[\"battery\"] = b\n", "\n", "solar = Node(node_name=\"solar\")\n", "pv = ElectricalGeneration()\n", "pv.curtailable = False\n", "pv.add_generation_profile_from_array(test_pv, expansion_periods)\n", - "solar.ports['pv'] = pv" + "solar.ports[\"pv\"] = pv" ] }, { @@ -204,10 +394,10 @@ "\n", "network.add_node_obj([grid, battery, load, solar, connection_point])\n", "\n", - "network.connect_ports_and_create_edge(grid.ports['grid'], connection_point.ports['grid'])\n", - "network.connect_ports_and_create_edge(connection_point.ports['load'], load.ports['load'])\n", - "network.connect_ports_and_create_edge(connection_point.ports['battery'], battery.ports['battery'])\n", - "network.connect_ports_and_create_edge(connection_point.ports['pv'], solar.ports['pv'])" + "network.connect_ports_and_create_edge(grid.ports[\"grid\"], connection_point.ports[\"grid\"])\n", + "network.connect_ports_and_create_edge(connection_point.ports[\"load\"], load.ports[\"load\"])\n", + "network.connect_ports_and_create_edge(connection_point.ports[\"battery\"], battery.ports[\"battery\"])\n", + "network.connect_ports_and_create_edge(connection_point.ports[\"pv\"], solar.ports[\"pv\"])" ] }, { @@ -300,10 +490,10 @@ "\n", "peak_window = Window(\n", " time_periods=[\n", - " TimePeriod(start_time=time(7,0), end_time=time(9,0), day_type=[Day.weekday, Day.weekday]),\n", - " TimePeriod(start_time=time(18, 0),end_time=time(21, 0),day_type=[Day.weekday, Day.weekend])\n", + " TimePeriod(start_time=time(7, 0), end_time=time(9, 0), day_type=[Day.weekday, Day.weekday]),\n", + " TimePeriod(start_time=time(18, 0), end_time=time(21, 0), day_type=[Day.weekday, Day.weekend]),\n", " ],\n", - " reset_periods=ResetPeriod.day # use the ResetPeriod class to define the reset period.\n", + " reset_periods=ResetPeriod.day, # use the ResetPeriod class to define the reset period.\n", ")" ] }, @@ -336,13 +526,14 @@ }, "outputs": [], "source": [ - "peak_charge = ImportDemandCharge(rate=peak_rate,\n", - " window_array=peak_window.to_bool_periods(profile), # Need to convert the window to bool periods\n", - " min_demand=0.0,\n", - " reset_periods=peak_window.get_reset_period_array(profile)) # need to convert the reset period to an array\n", + "peak_charge = ImportDemandCharge(\n", + " rate=peak_rate,\n", + " window_array=peak_window.to_bool_periods(profile), # Need to convert the window to bool periods\n", + " min_demand=0.0,\n", + " reset_periods=peak_window.get_reset_period_array(profile),\n", + ") # need to convert the reset period to an array\n", "\n", - "demand_tariff = DemandTariffObjective(component=connection_point.ports['grid'],\n", - " demand_charges=[peak_charge])\n", + "demand_tariff = DemandTariffObjective(component=connection_point.ports[\"grid\"], demand_charges=[peak_charge])\n", "\n", "objective_set = ObjectiveSet(objective_list=[demand_tariff])" ] @@ -474,7 +665,7 @@ " engine_settings=engine_settings,\n", " graph=network,\n", " objective_set=objective_set,\n", - " profile=profile\n", + " profile=profile,\n", ")" ] }, diff --git a/examples/jupyter_examples/electric_vehicles.ipynb b/examples/jupyter_examples/electric_vehicles.ipynb index 639d315..ff39dc4 100644 --- a/examples/jupyter_examples/electric_vehicles.ipynb +++ b/examples/jupyter_examples/electric_vehicles.ipynb @@ -48,6 +48,7 @@ "outputs": [], "source": [ "from echo.models.electrical import EVBase\n", + "\n", "print(EVBase.__doc__)" ] }, @@ -80,6 +81,7 @@ "outputs": [], "source": [ "from echo.models.electrical import EVWithProfile\n", + "\n", "print(EVWithProfile.__doc__)" ] }, @@ -139,7 +141,7 @@ "outputs": [], "source": [ "# Number of time periods to run the optimisation for\n", - "time_periods = 48 \n", + "time_periods = 48\n", "\n", "# The duration in minutes between each data point in time series data\n", "interval_duration = 30" @@ -164,7 +166,7 @@ "# Create a connection point (zero sum) node with ports for our three EVs\n", "connection_point = TellegenNode(node_name=\"connection_point\")\n", "connection_point.add_ports_from_list(\n", - " [\"grid\", \"ev_v0g\", \"ev_v1g\", \"ev_v2g\",\"ev_with_profile\"],\n", + " [\"grid\", \"ev_v0g\", \"ev_v1g\", \"ev_v2g\", \"ev_with_profile\"],\n", " FlexPort,\n", " units=Units.KW,\n", ")\n", @@ -234,13 +236,13 @@ " charging_efficiency=1,\n", " discharging_efficiency=1,\n", " initial_state_of_charge=20,\n", - " soc_conserv=None, \n", + " soc_conserv=None,\n", " soc_conserv_cost=1.0,\n", " interval_duration=interval_duration,\n", " tod_charging=False,\n", " trip_slack=False,\n", " set_stateful_attrs_at_init=True,\n", - " usage_power_limit=-10\n", + " usage_power_limit=-10,\n", ")\n", "\n", "# Create demand data for a EVWithProfile vechicle.\n", @@ -253,7 +255,7 @@ " charging_power_limit=10,\n", " set_stateful_attrs_at_init=True,\n", " demand=ev_with_profile_demand,\n", - ")\n" + ")" ] }, { @@ -282,7 +284,7 @@ " ev_v2g,\n", " ev_with_profile,\n", " ]\n", - ") " + ")" ] }, { @@ -332,13 +334,13 @@ "network_figure = plt.figure()\n", "network_axes = network_figure.add_subplot()\n", "style = {\n", - " \"edgecolors\": \"#FFFFFF\", # node border color\n", - " \"linewidths\": 3, # node border width\n", - " \"edge_color\": \"#CCCCCC\", # edge color of edges\n", - " \"width\": 2, # edge width\n", - " \"horizontalalignment\": \"left\", # label horizontal position\n", - " \"verticalalignment\": \"top\", # label vertical position\n", - " \"font_color\": \"#555555\", # label text color\n", + " \"edgecolors\": \"#FFFFFF\", # node border color\n", + " \"linewidths\": 3, # node border width\n", + " \"edge_color\": \"#CCCCCC\", # edge color of edges\n", + " \"width\": 2, # edge width\n", + " \"horizontalalignment\": \"left\", # label horizontal position\n", + " \"verticalalignment\": \"top\", # label vertical position\n", + " \"font_color\": \"#555555\", # label text color\n", "}\n", "system.draw_on_axes(axes=network_axes, with_labels=True, **style)\n", "plt.show()" @@ -371,25 +373,25 @@ "# Define the sawtooth-like import tariff\n", "import_tariff = [10, 5] * 24\n", "\n", - "# Define the minimise import cost objective for the ev_v1g \n", + "# Define the minimise import cost objective for the ev_v1g\n", "minimise_import_cost_ev_v1g = ImportTariff(\n", " component=ev_v1g.ports[\"cp\"],\n", " tariff_array=import_tariff,\n", ")\n", "\n", - "# Define the minimise import cost objective for the ev_v2g \n", + "# Define the minimise import cost objective for the ev_v2g\n", "minimise_import_cost_ev_v2g = ImportTariff(\n", " component=ev_v2g.ports[\"cp\"],\n", " tariff_array=import_tariff,\n", ")\n", "\n", - "# Define a minimise throughput cost objective on the ev_v1g's battery. \n", + "# Define a minimise throughput cost objective on the ev_v1g's battery.\n", "minimise_throughput_cost_ev_v1g = ThroughputCost(\n", " component=ev_v1g.ports[\"cp\"],\n", " rate=0.1,\n", ")\n", "\n", - "# Define a minimise throughput cost objective on the ev_v2g's battery. \n", + "# Define a minimise throughput cost objective on the ev_v2g's battery.\n", "minimise_throughput_cost_ev_v2g = ThroughputCost(\n", " component=ev_v2g.ports[\"cp\"],\n", " rate=0.1,\n", diff --git a/examples/jupyter_examples/path_tracing.ipynb b/examples/jupyter_examples/path_tracing.ipynb index 57d77e5..dff3468 100644 --- a/examples/jupyter_examples/path_tracing.ipynb +++ b/examples/jupyter_examples/path_tracing.ipynb @@ -32,6 +32,7 @@ "source": [ "import pprint\n", "import numpy as np\n", + "\n", "np.set_printoptions(suppress=True)" ] }, @@ -103,19 +104,206 @@ "outputs": [], "source": [ "test_load = np.array(\n", - " [2.13, 2.09, 2.3, 2.11, 2.2, 2.23, 2.2, 2.15, 2.02, 2.19, 2.19, 2.19, 2.12, 2.15, 2.25, 2.12, 2.21, 2.16,\n", - " 2.26, 2.13, 2.08, 2.15, 2.42, 2.02, 2.3, 2.26, 2.35, 2.55, 3.23, 2.98, 3.49, 3.5, 3.12, 3.52, 3.94, 3.55,\n", - " 3.99, 3.71, 3.38, 3.76, 3.71, 3.78, 3.29, 3.65, 3.61, 3.75, 3.38, 3.66, 3.56, 3.69, 3.3, 3.61, 3.71, 3.82,\n", - " 3.17, 3.69, 3.74, 3.86, 3.57, 3.55, 3.75, 3.6, 3.67, 3.48, 3.51, 3.46, 3.19, 3.38, 3.19, 3.38, 3.04, 3.12,\n", - " 2.91, 3.11, 3.13, 2.77, 2.24, 2.54, 2.24, 2.24, 2.09, 2.33, 2.17, 2.16, 1.97, 2.16, 2.21, 2.18, 2.01, 2.16,\n", - " 2.19, 2.11, 2.17, 2.13, 2.05, 2.19])\n", + " [\n", + " 2.13,\n", + " 2.09,\n", + " 2.3,\n", + " 2.11,\n", + " 2.2,\n", + " 2.23,\n", + " 2.2,\n", + " 2.15,\n", + " 2.02,\n", + " 2.19,\n", + " 2.19,\n", + " 2.19,\n", + " 2.12,\n", + " 2.15,\n", + " 2.25,\n", + " 2.12,\n", + " 2.21,\n", + " 2.16,\n", + " 2.26,\n", + " 2.13,\n", + " 2.08,\n", + " 2.15,\n", + " 2.42,\n", + " 2.02,\n", + " 2.3,\n", + " 2.26,\n", + " 2.35,\n", + " 2.55,\n", + " 3.23,\n", + " 2.98,\n", + " 3.49,\n", + " 3.5,\n", + " 3.12,\n", + " 3.52,\n", + " 3.94,\n", + " 3.55,\n", + " 3.99,\n", + " 3.71,\n", + " 3.38,\n", + " 3.76,\n", + " 3.71,\n", + " 3.78,\n", + " 3.29,\n", + " 3.65,\n", + " 3.61,\n", + " 3.75,\n", + " 3.38,\n", + " 3.66,\n", + " 3.56,\n", + " 3.69,\n", + " 3.3,\n", + " 3.61,\n", + " 3.71,\n", + " 3.82,\n", + " 3.17,\n", + " 3.69,\n", + " 3.74,\n", + " 3.86,\n", + " 3.57,\n", + " 3.55,\n", + " 3.75,\n", + " 3.6,\n", + " 3.67,\n", + " 3.48,\n", + " 3.51,\n", + " 3.46,\n", + " 3.19,\n", + " 3.38,\n", + " 3.19,\n", + " 3.38,\n", + " 3.04,\n", + " 3.12,\n", + " 2.91,\n", + " 3.11,\n", + " 3.13,\n", + " 2.77,\n", + " 2.24,\n", + " 2.54,\n", + " 2.24,\n", + " 2.24,\n", + " 2.09,\n", + " 2.33,\n", + " 2.17,\n", + " 2.16,\n", + " 1.97,\n", + " 2.16,\n", + " 2.21,\n", + " 2.18,\n", + " 2.01,\n", + " 2.16,\n", + " 2.19,\n", + " 2.11,\n", + " 2.17,\n", + " 2.13,\n", + " 2.05,\n", + " 2.19,\n", + " ]\n", + ")\n", "\n", "test_pv = 2 * np.array(\n", - " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, 0.23, 0.52,\n", - " 0.74, 0.71, 0.63, 0.68, 0.97, 0.01, 0.52, 0.83, 0.83, 0.79, 1.22, 1.36, 1.27, 1.42, 1.97, 2.56, 2.91, 3.24,\n", - " 3.8, 4.3, 4.62, 4.84, 4.6, 4.17, 3.77, 3.76, 3.38, 2.64, 1.96, 1.76, 1.85, 2.4, 3.82, 5.13, 4.97, 5.02, 5.43,\n", - " 5.32, 3.56, 1.75, 1.43, 1.65, 1.69, 2.3, 2.71, 2.41, 2.63, 2.6, 1.9, 0.78, 0.13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n", - " 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0])\n", + " [\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.05,\n", + " 0.23,\n", + " 0.52,\n", + " 0.74,\n", + " 0.71,\n", + " 0.63,\n", + " 0.68,\n", + " 0.97,\n", + " 0.01,\n", + " 0.52,\n", + " 0.83,\n", + " 0.83,\n", + " 0.79,\n", + " 1.22,\n", + " 1.36,\n", + " 1.27,\n", + " 1.42,\n", + " 1.97,\n", + " 2.56,\n", + " 2.91,\n", + " 3.24,\n", + " 3.8,\n", + " 4.3,\n", + " 4.62,\n", + " 4.84,\n", + " 4.6,\n", + " 4.17,\n", + " 3.77,\n", + " 3.76,\n", + " 3.38,\n", + " 2.64,\n", + " 1.96,\n", + " 1.76,\n", + " 1.85,\n", + " 2.4,\n", + " 3.82,\n", + " 5.13,\n", + " 4.97,\n", + " 5.02,\n", + " 5.43,\n", + " 5.32,\n", + " 3.56,\n", + " 1.75,\n", + " 1.43,\n", + " 1.65,\n", + " 1.69,\n", + " 2.3,\n", + " 2.71,\n", + " 2.41,\n", + " 2.63,\n", + " 2.6,\n", + " 1.9,\n", + " 0.78,\n", + " 0.13,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " ]\n", + ")\n", "test_pv *= -1 # convert solar generation to negative to match convention." ] }, @@ -141,28 +329,32 @@ "grid.add_port(\"grid\", FlexPort(units=Units.KW))\n", "\n", "connection_point = TellegenNode(node_name=\"CP\")\n", - "connection_point.add_ports_from_list(['load', 'battery', 'pv', 'grid'], FlexPort, units=Units.KW) # add ports with easily referenced names\n", + "connection_point.add_ports_from_list(\n", + " [\"load\", \"battery\", \"pv\", \"grid\"], FlexPort, units=Units.KW\n", + ") # add ports with easily referenced names\n", "\n", "load = Node(node_name=\"load\")\n", "l1 = ElectricalDemand()\n", "l1.add_demand_profile_from_array(test_load, expansion_periods)\n", - "load.ports['load'] = l1\n", + "load.ports[\"load\"] = l1\n", "\n", "battery = Node(node_name=\"battery\")\n", - "b = ElectricalStorage(max_capacity=15.0,\n", - " depth_of_discharge_limit=0,\n", - " charging_power_limit=1.25,\n", - " discharging_power_limit=-1.25,\n", - " charging_efficiency=1,\n", - " discharging_efficiency=1,\n", - " initial_state_of_charge=0.0)\n", - "battery.ports['battery'] = b\n", + "b = ElectricalStorage(\n", + " max_capacity=15.0,\n", + " depth_of_discharge_limit=0,\n", + " charging_power_limit=1.25,\n", + " discharging_power_limit=-1.25,\n", + " charging_efficiency=1,\n", + " discharging_efficiency=1,\n", + " initial_state_of_charge=0.0,\n", + ")\n", + "battery.ports[\"battery\"] = b\n", "\n", "solar = Node(node_name=\"solar\")\n", "pv = ElectricalGeneration()\n", "pv.curtailable = False\n", "pv.add_generation_profile_from_array(test_pv, expansion_periods)\n", - "solar.ports['pv'] = pv" + "solar.ports[\"pv\"] = pv" ] }, { @@ -184,10 +376,10 @@ "network.add_node_obj([grid, battery, load, solar, connection_point])\n", "\n", "# Add edges to graph\n", - "network.connect_ports_and_create_edge(grid.ports['grid'], connection_point.ports['grid'])\n", - "network.connect_ports_and_create_edge(connection_point.ports['load'], load.ports['load'])\n", - "network.connect_ports_and_create_edge(connection_point.ports['battery'], battery.ports['battery'])\n", - "network.connect_ports_and_create_edge(connection_point.ports['pv'], solar.ports['pv'])" + "network.connect_ports_and_create_edge(grid.ports[\"grid\"], connection_point.ports[\"grid\"])\n", + "network.connect_ports_and_create_edge(connection_point.ports[\"load\"], load.ports[\"load\"])\n", + "network.connect_ports_and_create_edge(connection_point.ports[\"battery\"], battery.ports[\"battery\"])\n", + "network.connect_ports_and_create_edge(connection_point.ports[\"pv\"], solar.ports[\"pv\"])" ] }, { @@ -219,13 +411,13 @@ "network_figure = plt.figure()\n", "network_axes = network_figure.add_subplot()\n", "style = {\n", - " \"edgecolors\": \"#FFFFFF\", # node border color\n", - " \"linewidths\": 3, # node border width\n", - " \"edge_color\": \"#CCCCCC\", # edge color of edges\n", - " \"width\": 2, # edge width\n", - " \"horizontalalignment\": \"left\", # label horizontal position\n", - " \"verticalalignment\": \"top\", # label vertical position\n", - " \"font_color\": \"#555555\", # label text color\n", + " \"edgecolors\": \"#FFFFFF\", # node border color\n", + " \"linewidths\": 3, # node border width\n", + " \"edge_color\": \"#CCCCCC\", # edge color of edges\n", + " \"width\": 2, # edge width\n", + " \"horizontalalignment\": \"left\", # label horizontal position\n", + " \"verticalalignment\": \"top\", # label vertical position\n", + " \"font_color\": \"#555555\", # label text color\n", "}\n", "network.draw_on_axes(axes=network_axes, with_labels=True, **style)\n", "plt.show()" @@ -306,12 +498,10 @@ "source": [ "grid_to_battery = network.get_path([grid, connection_point, battery])\n", "\n", - "path_tariff1 = PathTariff(component=grid_to_battery,\n", - " tariff_array=[0.1]*48 + [0.2]*48)\n", + "path_tariff1 = PathTariff(component=grid_to_battery, tariff_array=[0.1] * 48 + [0.2] * 48)\n", "\n", "grid_to_load = network.get_path([grid, connection_point, load])\n", - "path_tariff2 = PathTariff(component=grid_to_load,\n", - " tariff_array=[0.3]*24 + [0.1]*24 + [0.2]*48)\n", + "path_tariff2 = PathTariff(component=grid_to_load, tariff_array=[0.3] * 24 + [0.1] * 24 + [0.2] * 48)\n", "\n", "objective_set = ObjectiveSet(objective_list=[path_tariff1, path_tariff2])" ] @@ -599,8 +789,8 @@ } ], "source": [ - "print('Grid to battery:\\n', optimise_results.values(grid_to_battery.flow_value, 0))\n", - "print('Grid to load:\\n', optimise_results.values(grid_to_load.flow_value, 0))" + "print(\"Grid to battery:\\n\", optimise_results.values(grid_to_battery.flow_value, 0))\n", + "print(\"Grid to load:\\n\", optimise_results.values(grid_to_load.flow_value, 0))" ] } ], diff --git a/examples/jupyter_examples/slack_variables.ipynb b/examples/jupyter_examples/slack_variables.ipynb index 6174732..45f1187 100644 --- a/examples/jupyter_examples/slack_variables.ipynb +++ b/examples/jupyter_examples/slack_variables.ipynb @@ -89,11 +89,105 @@ "outputs": [], "source": [ "pv_array = 2 * np.array(\n", - " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, 0.23, 0.52,\n", - " 0.74, 0.71, 0.63, 0.68, 0.97, 0.01, 0.52, 0.83, 0.83, 0.79, 1.22, 1.36, 1.27, 1.42, 1.97, 2.56, 2.91, 3.24,\n", - " 3.8, 4.3, 4.62, 4.84, 4.6, 4.17, 3.77, 3.76, 3.38, 2.64, 1.96, 1.76, 1.85, 2.4, 3.82, 5.13, 4.97, 5.02, 5.43,\n", - " 5.32, 3.56, 1.75, 1.43, 1.65, 1.69, 2.3, 2.71, 2.41, 2.63, 2.6, 1.9, 0.78, 0.13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n", - " 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0])\n", + " [\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.05,\n", + " 0.23,\n", + " 0.52,\n", + " 0.74,\n", + " 0.71,\n", + " 0.63,\n", + " 0.68,\n", + " 0.97,\n", + " 0.01,\n", + " 0.52,\n", + " 0.83,\n", + " 0.83,\n", + " 0.79,\n", + " 1.22,\n", + " 1.36,\n", + " 1.27,\n", + " 1.42,\n", + " 1.97,\n", + " 2.56,\n", + " 2.91,\n", + " 3.24,\n", + " 3.8,\n", + " 4.3,\n", + " 4.62,\n", + " 4.84,\n", + " 4.6,\n", + " 4.17,\n", + " 3.77,\n", + " 3.76,\n", + " 3.38,\n", + " 2.64,\n", + " 1.96,\n", + " 1.76,\n", + " 1.85,\n", + " 2.4,\n", + " 3.82,\n", + " 5.13,\n", + " 4.97,\n", + " 5.02,\n", + " 5.43,\n", + " 5.32,\n", + " 3.56,\n", + " 1.75,\n", + " 1.43,\n", + " 1.65,\n", + " 1.69,\n", + " 2.3,\n", + " 2.71,\n", + " 2.41,\n", + " 2.63,\n", + " 2.6,\n", + " 1.9,\n", + " 0.78,\n", + " 0.13,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " 0.0,\n", + " ]\n", + ")\n", "\n", "pv_array *= -1 # use positive load convention, so solar gen is negative" ] @@ -154,8 +248,8 @@ "network = OptimisationGraph()\n", "network.add_node_obj([grid, inverter, solar])\n", "\n", - "network.connect_ports_and_create_edge(grid.ports['grid'], inverter.ports['inv'])\n", - "network.connect_ports_and_create_edge(inverter.ports['pv'], solar.ports['pv'])" + "network.connect_ports_and_create_edge(grid.ports[\"grid\"], inverter.ports[\"inv\"])\n", + "network.connect_ports_and_create_edge(inverter.ports[\"pv\"], solar.ports[\"pv\"])" ] }, { @@ -187,13 +281,13 @@ "network_figure = plt.figure()\n", "network_axes = network_figure.add_subplot()\n", "style = {\n", - " \"edgecolors\": \"#FFFFFF\", # node border color\n", - " \"linewidths\": 3, # node border width\n", - " \"edge_color\": \"#CCCCCC\", # edge color of edges\n", - " \"width\": 2, # edge width\n", - " \"horizontalalignment\": \"left\", # label horizontal position\n", - " \"verticalalignment\": \"top\", # label vertical position\n", - " \"font_color\": \"#555555\", # label text color\n", + " \"edgecolors\": \"#FFFFFF\", # node border color\n", + " \"linewidths\": 3, # node border width\n", + " \"edge_color\": \"#CCCCCC\", # edge color of edges\n", + " \"width\": 2, # edge width\n", + " \"horizontalalignment\": \"left\", # label horizontal position\n", + " \"verticalalignment\": \"top\", # label vertical position\n", + " \"font_color\": \"#555555\", # label text color\n", "}\n", "network.draw_on_axes(axes=network_axes, with_labels=True, **style)\n", "plt.show()" @@ -228,8 +322,8 @@ }, "outputs": [], "source": [ - "constrained_port = inverter.ports['inv'] # get the port object\n", - "constrained_port.set_flow_constraints(max_import=None, max_export=-5., slack=True) # set a flow constraint" + "constrained_port = inverter.ports[\"inv\"] # get the port object\n", + "constrained_port.set_flow_constraints(max_import=None, max_export=-5.0, slack=True) # set a flow constraint" ] }, { @@ -408,9 +502,9 @@ "inverter_output = optimise_results.values(constrained_port.port_name)\n", "slack = optimise_results.values(constrained_port.export_slack)\n", "max_slack = optimise_results.values(constrained_port.export_slack_max)\n", - "print('Inverter output:\\n', inverter_output)\n", - "print('Export slack:\\n', slack)\n", - "print('Max export slack:\\n', max_slack)" + "print(\"Inverter output:\\n\", inverter_output)\n", + "print(\"Export slack:\\n\", slack)\n", + "print(\"Max export slack:\\n\", max_slack)" ] }, { @@ -448,12 +542,12 @@ } ], "source": [ - "plt.plot(pv_array, label='pv generation')\n", - "plt.plot(inverter_output, label='inverter output port')\n", - "plt.plot(slack, label='slack')\n", - "plt.plot([max_slack]*time_periods, label='max slack')\n", + "plt.plot(pv_array, label=\"pv generation\")\n", + "plt.plot(inverter_output, label=\"inverter output port\")\n", + "plt.plot(slack, label=\"slack\")\n", + "plt.plot([max_slack] * time_periods, label=\"max slack\")\n", "plt.legend()\n", - "plt.ylim([-20,20])\n", + "plt.ylim([-20, 20])\n", "plt.show()" ] } diff --git a/examples/jupyter_examples/visualise_network.ipynb b/examples/jupyter_examples/visualise_network.ipynb index 1956633..295632c 100644 --- a/examples/jupyter_examples/visualise_network.ipynb +++ b/examples/jupyter_examples/visualise_network.ipynb @@ -175,13 +175,13 @@ "outputs": [], "source": [ "style = {\n", - " \"edgecolors\": \"#FFFFFF\", # node border color\n", - " \"linewidths\": 3, # node border width\n", - " \"edge_color\": \"#CCCCCC\", # edge color of edges\n", - " \"width\": 2, # edge width\n", + " \"edgecolors\": \"#FFFFFF\", # node border color\n", + " \"linewidths\": 3, # node border width\n", + " \"edge_color\": \"#CCCCCC\", # edge color of edges\n", + " \"width\": 2, # edge width\n", " \"horizontalalignment\": \"left\", # label horizontal position\n", - " \"verticalalignment\": \"top\", # label vertical position\n", - " \"font_color\": \"#555555\", # label text color\n", + " \"verticalalignment\": \"top\", # label vertical position\n", + " \"font_color\": \"#555555\", # label text color\n", "}" ] }, @@ -249,7 +249,7 @@ "source": [ "import ipycytoscape\n", "\n", - "wheel_sensitivity=0.2 # default value is 1.0\n", + "wheel_sensitivity = 0.2 # default value is 1.0\n", "cyto = ipycytoscape.CytoscapeWidget(wheel_sensitivity=wheel_sensitivity)" ] }, @@ -301,17 +301,12 @@ "style = [\n", " {\n", " \"selector\": \"node\",\n", - " \"style\": {\n", - " \"background-color\": '#2980B9',\n", - " \"border-color\": \"#FFFFFF\",\n", - " \"border-width\": 4,\n", - " \"label\": \"data(id)\"\n", - " },\n", + " \"style\": {\"background-color\": \"#2980B9\", \"border-color\": \"#FFFFFF\", \"border-width\": 4, \"label\": \"data(id)\"},\n", " },\n", " {\n", " \"selector\": \"edge\",\n", " \"style\": {\n", - " 'line-color': '#cccccc',\n", + " \"line-color\": \"#cccccc\",\n", " },\n", " },\n", "]\n", From 030d8370109f4ac0500ea86da60103d85ec109da Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 11:45:03 +1000 Subject: [PATCH 05/44] Updating coverage to work with uv --- .github/workflows/coverage.yml | 275 +++++++++++++++++---------------- 1 file changed, 144 insertions(+), 131 deletions(-) diff --git a/.github/workflows/coverage.yml b/.github/workflows/coverage.yml index 43f34c7..acb9b9a 100644 --- a/.github/workflows/coverage.yml +++ b/.github/workflows/coverage.yml @@ -9,174 +9,187 @@ permissions: pull-requests: write jobs: - # This run coverage on the target and source branches before comparing - coverage: + coverage_source: runs-on: ubuntu-latest + outputs: + source_raw: ${{ steps.extract.outputs.raw }} steps: - name: Checkout - uses: actions/checkout@v3.1.0 + uses: actions/checkout@v6 - - name: Download CPLEX installer from Azure storage account - uses: armanrahman22/azblob-download-action@v0.0.4 + - name: Install uv + uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 with: - connection-string: ${{ secrets.BLDDEPS_STORAGE_ACCOUNT_CONN_STR }} - container-name: "solver-blobs" - blob-name: "cplex_22.1.1.0-1_amd64.deb" - download-path: "." - - - name: Setup Python - uses: actions/setup-python@v4.2.0 - with: - python-version: "3.11" + python-version: "3.13" - name: Install Dependencies run: | - pip install --group dev . - # Install CPLEX - sudo apt install -f ./cplex_22.1.1.0-1_amd64.deb + uv sync --extra dev --extra test - name: Coverage (source branch) run: | - coverage run --data-file=.coverage-source -m pytest - { - echo 'SOURCE_RAW<> "$GITHUB_ENV" - env: - OPTIMISER_ENGINE: "cplex" - OPTIMISER_ENGINE_EXECUTABLE: "/opt/cplex/cplex" - PYTHONPATH: ./ + echo "[run]" > .coveragecfg + echo "data_file=.coverage-source" >> .coveragecfg + uv run pytest -n auto --cov=my_app --cov-config=.coveragecfg . - - name: Checkout - uses: actions/checkout@v3.1.0 + - name: Extract Coverage + id: extract + run: | + echo 'raw<> $GITHUB_OUTPUT + uv run coverage report --data-file=.coverage-source --omit='tests/**' >> $GITHUB_OUTPUT + echo EOF >> $GITHUB_OUTPUT + uv run coverage html --data-file=.coverage-source --omit='tests/**' + + - name: Upload Target Coverage HTML Report Artifact + uses: actions/upload-artifact@v7 + with: + name: source-code-coverage-html + path: htmlcov/ + overwrite: true + + coverage_target: + runs-on: ubuntu-latest + outputs: + target_raw: ${{ steps.extract.outputs.raw }} + steps: + - name: Checkout (target branch) + uses: actions/checkout@v6 with: ref: ${{ github.base_ref }} - - name: Download CPLEX installer from Azure storage account - uses: armanrahman22/azblob-download-action@v0.0.4 + - name: Install uv + uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 with: - connection-string: ${{ secrets.BLDDEPS_STORAGE_ACCOUNT_CONN_STR }} - container-name: "solver-blobs" - blob-name: "cplex_22.1.1.0-1_amd64.deb" - download-path: "." + python-version: "3.13" - name: Install Dependencies run: | - pip install --group dev . - # Install CPLEX - sudo apt install -f ./cplex_22.1.1.0-1_amd64.deb + uv sync --extra dev --extra test - name: Coverage (target branch) run: | - coverage run --data-file=.coverage-target -m pytest - { - echo 'TARGET_RAW<> "$GITHUB_ENV" - env: - OPTIMISER_ENGINE: "cplex" - OPTIMISER_ENGINE_EXECUTABLE: "/opt/cplex/cplex" - PYTHONPATH: ./ - - - uses: actions/github-script@v7 - env: - ISSUE_NUMBER: ${{ github.event.number }} + echo "[run]" > .coveragecfg + echo "data_file=.coverage-target" >> .coveragecfg + uv run pytest -n auto --cov=my_app --cov-config=.coveragecfg . + + - name: Extract Coverage + id: extract + run: | + echo 'raw<> $GITHUB_OUTPUT + uv run coverage report --data-file=.coverage-target --omit='tests/**' >> $GITHUB_OUTPUT + echo EOF >> $GITHUB_OUTPUT + uv run coverage html --data-file=.coverage-target --omit='tests/**' + + - name: Upload Target Coverage HTML Report Artifact + uses: actions/upload-artifact@v7 with: - script: | - const { SOURCE_RAW, TARGET_RAW, GITHUB_BASE_REF, GITHUB_HEAD_REF, ISSUE_NUMBER } = process.env - - // returns dict keyed by file name with code coverage percent integers - function split_coverage(raw) { - let result = {}; - for (let l of raw.split('\n')) { - if (l && l.endsWith('%')) { - let line_parts = l.split(' '); - result[line_parts[0]] = parseInt(line_parts.pop()); + name: target-code-coverage-html + path: htmlcov/ + overwrite: true + + compare_coverage: + runs-on: ubuntu-latest + needs: [coverage_source, coverage_target] + env: + SOURCE_RAW: ${{ needs.coverage_source.outputs.source_raw }} + TARGET_RAW: ${{ needs.coverage_target.outputs.target_raw }} + ISSUE_NUMBER: ${{ github.event.number }} + steps: + - uses: actions/github-script@v7 + with: + script: | + const { SOURCE_RAW, TARGET_RAW, GITHUB_BASE_REF, GITHUB_HEAD_REF, ISSUE_NUMBER } = process.env + + // returns dict keyed by file name with code coverage percent integers + function split_coverage(raw) { + let result = {}; + for (let l of raw.split('\n')) { + if (l && l.endsWith('%')) { + let line_parts = l.split(' '); + result[line_parts[0]] = parseInt(line_parts.pop()); + } } + return result; } - return result; - } - const source = split_coverage(SOURCE_RAW) - const target = split_coverage(TARGET_RAW) - const source_total_percent = source["TOTAL"] - const target_total_percent = target["TOTAL"] - - const file_reductions = [] - for (let [k, target_pc] of Object.entries(target)) { - if (k in source) { - source_pc = source[k] - if (source_pc < target_pc) { - let diff = target_pc - source_pc - file_reductions.push(`|\`${k}\` | 🔻 ${diff}% (${target_pc}% → ${source_pc}%) |`) + const source = split_coverage(SOURCE_RAW) + const target = split_coverage(TARGET_RAW) + const source_total_percent = source["TOTAL"] + const target_total_percent = target["TOTAL"] + + const file_reductions = [] + for (let [k, target_pc] of Object.entries(target)) { + if (k in source) { + source_pc = source[k] + if (source_pc < target_pc) { + let diff = target_pc - source_pc + file_reductions.push(`|\`${k}\` | 🔻 ${diff}% (${target_pc}% → ${source_pc}%) |`) + } } } - } - const file_adds = [] - for (let [k, source_pc] of Object.entries(source)) { - if (!(k in target)) { - if (source_pc >= target_total_percent) { - file_adds.push(`|\`${k}\` | ✅ Coverage at ${source_pc}% |`) - } else { - file_adds.push(`|\`${k}\` | ⚠️ Coverage at ${source_pc}% |`) + const file_adds = [] + for (let [k, source_pc] of Object.entries(source)) { + if (!(k in target)) { + if (source_pc >= target_total_percent) { + file_adds.push(`|\`${k}\` | ✅ Coverage at ${source_pc}% |`) + } else { + file_adds.push(`|\`${k}\` | ⚠️ Coverage at ${source_pc}% |`) + } } } - } - let body = '' - if (source_total_percent >= target_total_percent) { - body += `✅ Code coverage on \`${GITHUB_HEAD_REF}\` is at ${source_total_percent}% (compared to \`${GITHUB_BASE_REF}\` being at ${target_total_percent}%)\n` - } else { - body += `💔 Code coverage on \`${GITHUB_HEAD_REF}\` has **reduced** to ${source_total_percent}% (compared to \`${GITHUB_BASE_REF}\` being at ${target_total_percent}%)\n` - } + let body = '' + if (source_total_percent >= target_total_percent) { + body += `✅ Code coverage on \`${GITHUB_HEAD_REF}\` is at ${source_total_percent}% (compared to \`${GITHUB_BASE_REF}\` being at ${target_total_percent}%)\n` + } else { + body += `💔 Code coverage on \`${GITHUB_HEAD_REF}\` has **reduced** to ${source_total_percent}% (compared to \`${GITHUB_BASE_REF}\` being at ${target_total_percent}%)\n` + } - if (file_reductions.length > 0) { - body += "## File Reductions\n" - body += "| File | Details |\n" - body += "| ---- | ------- |\n" - body += file_reductions.join("\n") - } else { - body += "\n🎉 No files have reduced coverage 🎉\n" - } + if (file_reductions.length > 0) { + body += "## File Reductions\n" + body += "| File | Details |\n" + body += "| ---- | ------- |\n" + body += file_reductions.join("\n") + } else { + body += "\n🎉 No files have reduced coverage 🎉\n" + } + + if (file_adds.length > 0) { + body += "\n
\n" + body += "

Coverage for new files

\n\n" + body += "| File | Details |\n" + body += "| ---- | ------- |\n" + body += file_adds.join("\n") + body += "\n
\n" + } - if (file_adds.length > 0) { body += "\n
\n" - body += "

Coverage for new files

\n\n" + body += "

Full Coverage Report

\n\n" body += "| File | Details |\n" body += "| ---- | ------- |\n" - body += file_adds.join("\n") - body += "\n
\n" - } - - body += "\n
\n" - body += "

Full Coverage Report

\n\n" - body += "| File | Details |\n" - body += "| ---- | ------- |\n" - for (let [k, source_pc] of Object.entries(source)) { - if (k in target) { - target_pc = target[k] - if (source_pc < target_pc) { - let diff = target_pc - source_pc - body += `|\`${k}\` | 🔻 ${diff}% (${target_pc}% → ${source_pc}%) |\n` + for (let [k, source_pc] of Object.entries(source)) { + if (k in target) { + target_pc = target[k] + if (source_pc < target_pc) { + let diff = target_pc - source_pc + body += `|\`${k}\` | 🔻 ${diff}% (${target_pc}% → ${source_pc}%) |\n` + } else { + body += `|\`${k}\` | ✅ ${target_pc}% → ${source_pc}% |\n` + } } else { - body += `|\`${k}\` | ✅ ${target_pc}% → ${source_pc}% |\n` + body += `|\`${k}\` | 🆕 ${source_pc}% |\n` } - } else { - body += `|\`${k}\` | 🆕 ${source_pc}% |\n` } - } - body += "\n
\n" - - const fs = require('fs'); - fs.mkdirSync("coverage-report-data/"); - fs.writeFileSync("coverage-report-data/coverage-report.txt", body); - fs.writeFileSync("coverage-report-data/issue-number.txt", ISSUE_NUMBER); + body += "\n\n" - - name: Upload Coverage Report Artifact - uses: actions/upload-artifact@v4 - with: - name: code-coverage-report - path: coverage-report-data/ - overwrite: true + const fs = require('fs'); + fs.mkdirSync("coverage-report-data/"); + fs.writeFileSync("coverage-report-data/coverage-report.txt", body); + fs.writeFileSync("coverage-report-data/issue-number.txt", ISSUE_NUMBER); + + - name: Upload Coverage Report Artifact + uses: actions/upload-artifact@v7 + with: + name: code-coverage-report + path: coverage-report-data/ + overwrite: true From d426a89663e9c5b6c48092d9e75d1650238c9431 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 12:00:07 +1000 Subject: [PATCH 06/44] Replaces linting and testing with uv, ty and ruff --- .github/workflows/linttest.yml | 125 ++++++++++----------------------- 1 file changed, 38 insertions(+), 87 deletions(-) diff --git a/.github/workflows/linttest.yml b/.github/workflows/linttest.yml index 9a08485..20b8dcd 100644 --- a/.github/workflows/linttest.yml +++ b/.github/workflows/linttest.yml @@ -1,4 +1,4 @@ -name: Linting and Testing +name: Testing and Linting on: push: branches: [main] @@ -7,51 +7,43 @@ on: workflow_dispatch: jobs: - bandit: + # This will run ruff, ty and bandit and produce a security report if there are any failures + linting: runs-on: ubuntu-latest + continue-on-error: true + strategy: + fail-fast: false + matrix: + pyver: ["3.11", "3.12", "3.13", "3.14"] + steps: - name: Checkout - uses: actions/checkout@v4 - - - name: Install Dependencies - run: | - pip install bandit[toml] - - - name: Security check - Bandit - run: | - bandit -c pyproject.toml -r . - - flake8_py311: - runs-on: ubuntu-latest - steps: - - name: Checkout - uses: actions/checkout@v4 - - - name: Setup Python - uses: actions/setup-python@v5 + uses: actions/checkout@v6 + - name: Install uv + uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 with: - python-version: "3.11" - - - name: Setup flake8 annotations - uses: rbialon/flake8-annotations@v1 - - - name: Lint with flake8 - if: always() - run: | - pip install flake8 Flake8-pyproject - flake8 . --count --statistics - - black_formatting: + python-version: ${{ matrix.pyver }} + - name: Install Dependencies + run: uv sync --extra dev --extra test + - name: Lint (ruff) + run: uv run ruff check . + - name: Format check + run: uv run ruff format --check . + - name: Typing (ty) + run: uv run ty check . + - name: Security scan (bandit) + run: uv run bandit -c pyproject.toml -r src/ + + # This will run pytest against the specified version + pytest: runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v3 - - uses: psf/black@stable + strategy: + matrix: + pyver: ["3.13"] - pytest_py310: - runs-on: ubuntu-latest steps: - name: Checkout - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Download CPLEX installer from Azure storage account uses: armanrahman22/azblob-download-action@v0.0.4 @@ -60,68 +52,27 @@ jobs: container-name: "solver-blobs" blob-name: "cplex_22.1.1.0-1_amd64.deb" download-path: "." - - - name: Setup Python - uses: actions/setup-python@v5 + + - name: Install uv + uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 with: - python-version: "3.10" + python-version: ${{ matrix.pyver }} - name: Install Dependencies - run: | - pip install --group test . - # Install CPLEX + run: | + uv sync --extra test sudo apt install -f ./cplex_22.1.1.0-1_amd64.deb - name: Run Pytest - run: | - pytest --junit-xml=.test_report.xml + run: uv run pytest -n auto env: OPTIMISER_ENGINE: "cplex" OPTIMISER_ENGINE_EXECUTABLE: "/opt/cplex/cplex" PYTHONPATH: ./ - + - name: Upload Results uses: test-summary/action@v1 with: paths: .test_report.xml if: always() - pytest_py311: - runs-on: ubuntu-latest - timeout-minutes: 10 - steps: - - name: Checkout - uses: actions/checkout@v4 - - - name: Download CPLEX installer from Azure storage account - uses: armanrahman22/azblob-download-action@v0.0.4 - with: - connection-string: ${{ secrets.BLDDEPS_STORAGE_ACCOUNT_CONN_STR }} - container-name: "solver-blobs" - blob-name: "cplex_22.1.1.0-1_amd64.deb" - download-path: "." - - - name: Setup Python - uses: actions/setup-python@v5 - with: - python-version: "3.11" - - - name: Install Dependencies - run: | - pip install --group test . - # Install CPLEX - sudo apt install -f ./cplex_22.1.1.0-1_amd64.deb - - - name: Run Pytest - run: | - pytest --junit-xml=.test_report.xml - env: - OPTIMISER_ENGINE: "cplex" - OPTIMISER_ENGINE_EXECUTABLE: "/opt/cplex/cplex" - PYTHONPATH: ./ - - - name: Upload Results - uses: test-summary/action@v1 - with: - paths: .test_report.xml - if: always() From ddf11cabfa5e5007058964af1cc31e526e61edd3 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 12:13:07 +1000 Subject: [PATCH 07/44] changed test to dev where applicable to align with dependency-groups --- .github/workflows/linttest.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/linttest.yml b/.github/workflows/linttest.yml index 20b8dcd..bce7cab 100644 --- a/.github/workflows/linttest.yml +++ b/.github/workflows/linttest.yml @@ -24,7 +24,7 @@ jobs: with: python-version: ${{ matrix.pyver }} - name: Install Dependencies - run: uv sync --extra dev --extra test + run: uv sync --extra dev - name: Lint (ruff) run: uv run ruff check . - name: Format check @@ -60,7 +60,7 @@ jobs: - name: Install Dependencies run: | - uv sync --extra test + uv sync --extra dev sudo apt install -f ./cplex_22.1.1.0-1_amd64.deb - name: Run Pytest From 66c8fb2b14bbdaacc400c9030c59914925c6e79f Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 12:20:03 +1000 Subject: [PATCH 08/44] Needed to add optional-dependencies for CICD to work --- pyproject.toml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 3473f37..6c482de 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,6 +70,8 @@ docs = ["sphinx", "sphinx-rtd-theme"] dev = [{ include-group = "linters" }, { include-group = "test" }] all = [{ include-group = "dev" }, { include-group = "docs" }] +[optional-dependencies] +dev = [{ include-group = "linters" }, { include-group = "test" }] [tool.setuptools.package-data] "echo" = ["py.typed"] From 6f4bd95b4cff7779c28792411e1d0e1b5a406b18 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 12:23:22 +1000 Subject: [PATCH 09/44] Updating install requirement groups --- .github/workflows/coverage.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/coverage.yml b/.github/workflows/coverage.yml index acb9b9a..b6d2534 100644 --- a/.github/workflows/coverage.yml +++ b/.github/workflows/coverage.yml @@ -24,7 +24,7 @@ jobs: - name: Install Dependencies run: | - uv sync --extra dev --extra test + uv sync --extra dev - name: Coverage (source branch) run: | @@ -64,7 +64,7 @@ jobs: - name: Install Dependencies run: | - uv sync --extra dev --extra test + uv sync --extra dev - name: Coverage (target branch) run: | From d92b862498c340e7a13cef19b99b5e1b6aeff873 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 12:25:06 +1000 Subject: [PATCH 10/44] Fixed typo --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 6c482de..6771985 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,7 +70,7 @@ docs = ["sphinx", "sphinx-rtd-theme"] dev = [{ include-group = "linters" }, { include-group = "test" }] all = [{ include-group = "dev" }, { include-group = "docs" }] -[optional-dependencies] +[project.optional-dependencies] dev = [{ include-group = "linters" }, { include-group = "test" }] [tool.setuptools.package-data] From ef948431938acab57c567a503a92bd3ab5592a99 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 12:47:59 +1000 Subject: [PATCH 11/44] removed --extra flag as dev group is included by default using uv --- .github/workflows/coverage.yml | 4 ++-- .github/workflows/linttest.yml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/coverage.yml b/.github/workflows/coverage.yml index b6d2534..ecba9eb 100644 --- a/.github/workflows/coverage.yml +++ b/.github/workflows/coverage.yml @@ -24,7 +24,7 @@ jobs: - name: Install Dependencies run: | - uv sync --extra dev + uv sync - name: Coverage (source branch) run: | @@ -64,7 +64,7 @@ jobs: - name: Install Dependencies run: | - uv sync --extra dev + uv sync - name: Coverage (target branch) run: | diff --git a/.github/workflows/linttest.yml b/.github/workflows/linttest.yml index bce7cab..ce580e4 100644 --- a/.github/workflows/linttest.yml +++ b/.github/workflows/linttest.yml @@ -24,7 +24,7 @@ jobs: with: python-version: ${{ matrix.pyver }} - name: Install Dependencies - run: uv sync --extra dev + run: uv sync - name: Lint (ruff) run: uv run ruff check . - name: Format check @@ -60,7 +60,7 @@ jobs: - name: Install Dependencies run: | - uv sync --extra dev + uv sync sudo apt install -f ./cplex_22.1.1.0-1_amd64.deb - name: Run Pytest From 3fe5e95ce2accbdffdd828685e04ba2e7f5f2bfb Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 13:01:43 +1000 Subject: [PATCH 12/44] made uv sync work somehow --- pyproject.toml | 2 - uv.lock | 2389 ------------------------------------------------ 2 files changed, 2391 deletions(-) delete mode 100644 uv.lock diff --git a/pyproject.toml b/pyproject.toml index 6771985..3473f37 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,8 +70,6 @@ docs = ["sphinx", "sphinx-rtd-theme"] dev = [{ include-group = "linters" }, { include-group = "test" }] all = [{ include-group = "dev" }, { include-group = "docs" }] -[project.optional-dependencies] -dev = [{ include-group = "linters" }, { include-group = "test" }] [tool.setuptools.package-data] "echo" = ["py.typed"] diff --git a/uv.lock b/uv.lock deleted file mode 100644 index 7a94a71..0000000 --- a/uv.lock +++ /dev/null @@ -1,2389 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.10" -resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", - "python_full_version < '3.11'", -] - -[[package]] -name = "alabaster" -version = "1.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a6/f8/d9c74d0daf3f742840fd818d69cfae176fa332022fd44e3469487d5a9420/alabaster-1.0.0.tar.gz", hash = "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e", size = 24210, upload-time = "2024-07-26T18:15:03.762Z" } -wheels = [ - { url = 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13:22:12 +1000 Subject: [PATCH 14/44] Ran isort --- docs/source/conf.py | 1 - examples/behind_the_meter_with_battery.py | 8 ++--- examples/demand_tariff.py | 10 +++--- examples/demand_tariff_with_time_periods.py | 15 +++------ examples/electric_vehicles.py | 3 +- examples/neighbourhood_battery.py | 10 +++--- ...ighbourhood_battery_with_aggregate_load.py | 3 +- examples/serialisable_graph.py | 3 +- examples/simple_behind_the_meter_network.py | 3 +- examples/simple_thermal_network.py | 3 +- examples/stand_alone_power_system.py | 11 +++---- examples/using_dataframes.py | 3 +- src/echo/models/agnostic.py | 31 ++++++------------- src/echo/models/base.py | 26 +++++----------- src/echo/models/electrical.py | 28 +++++------------ src/echo/models/gas.py | 9 +++--- src/echo/models/prebuilt.py | 3 +- src/echo/models/thermal.py | 20 ++++++------ src/echo/objectives/tariff.py | 11 ++----- src/echo/optimiser.py | 6 ++-- tests/test_agnostic_integration.py | 10 +++--- tests/test_agnostic_models.py | 15 +++------ tests/test_asset_types.py | 6 ++-- tests/test_base.py | 6 ++-- tests/test_contingency_capacity.py | 6 ++-- tests/test_contingency_positive_capacity.py | 11 +++---- tests/test_electrical.py | 3 +- tests/test_evs.py | 16 +++------- tests/test_hybrid_inverter_behaviour.py | 6 ++-- tests/test_inverter_efficiency_behaviour.py | 11 +++---- tests/test_load_control_schemes.py | 9 ++++-- tests/test_new_demand_tariffs.py | 6 ++-- tests/test_objective_functions.py | 21 +++++-------- tests/test_path_tracing.py | 6 ++-- tests/test_peak_power_objective.py | 3 +- tests/test_peak_power_optimisation.py | 6 ++-- tests/test_simple_controlled_load.py | 3 +- tests/test_simple_solar_curtailment.py | 3 +- tests/test_slack_variables.py | 3 +- tests/test_tariffs.py | 17 +++++----- tests/test_thermal_models.py | 7 ++--- tests/test_thermal_models_optimisation.py | 24 +++++--------- tests/test_utils.py | 3 +- 43 files changed, 169 insertions(+), 239 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 9a5a1a7..6969480 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -7,7 +7,6 @@ # -- Path setup -------------------------------------------------------------- import importlib.metadata - # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. diff --git a/examples/behind_the_meter_with_battery.py b/examples/behind_the_meter_with_battery.py index 1a3304a..8f3fe10 100644 --- a/examples/behind_the_meter_with_battery.py +++ b/examples/behind_the_meter_with_battery.py @@ -10,12 +10,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ( - ElectricalDemand, - ElectricalGeneration, - ElectricalStorage, - Inverter, -) +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) from echo.models.scenario import EngineSettings, ScenarioSettings from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakNegativePower diff --git a/examples/demand_tariff.py b/examples/demand_tariff.py index 5d5a128..c4d8f07 100644 --- a/examples/demand_tariff.py +++ b/examples/demand_tariff.py @@ -8,13 +8,11 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import OptimisationGraph from echo.models.prebuilt import Battery, FlexNode, Load -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import ( - DemandTariffObjective, - ImportDemandCharge, - ThroughputCost, -) +from echo.objectives.tariff import (DemandTariffObjective, ImportDemandCharge, + ThroughputCost) from echo.optimiser import optimise SOLVER = os.environ.get("OPTIMISER_ENGINE", "cplex") diff --git a/examples/demand_tariff_with_time_periods.py b/examples/demand_tariff_with_time_periods.py index 116050e..bfbc75b 100644 --- a/examples/demand_tariff_with_time_periods.py +++ b/examples/demand_tariff_with_time_periods.py @@ -6,17 +6,12 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalDemand, ElectricalStorage -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import ( - Day, - DemandTariffObjective, - ImportDemandCharge, - ResetPeriod, - ThroughputCost, - TimePeriod, - Window, -) +from echo.objectives.tariff import (Day, DemandTariffObjective, + ImportDemandCharge, ResetPeriod, + ThroughputCost, TimePeriod, Window) from echo.optimiser import optimise expansion_periods = 1 diff --git a/examples/electric_vehicles.py b/examples/electric_vehicles.py index acf4657..f555156 100644 --- a/examples/electric_vehicles.py +++ b/examples/electric_vehicles.py @@ -13,7 +13,8 @@ from echo.models.base import OptimisationGraph from echo.models.electrical import EVV0G, EVV1G, EVV2G, EVWithProfile from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/neighbourhood_battery.py b/examples/neighbourhood_battery.py index dbf1a10..214ea28 100644 --- a/examples/neighbourhood_battery.py +++ b/examples/neighbourhood_battery.py @@ -7,12 +7,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ( - ElectricalDemand, - ElectricalGeneration, - ElectricalStorage, -) -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import PathTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/neighbourhood_battery_with_aggregate_load.py b/examples/neighbourhood_battery_with_aggregate_load.py index 329c43d..ed09b3c 100644 --- a/examples/neighbourhood_battery_with_aggregate_load.py +++ b/examples/neighbourhood_battery_with_aggregate_load.py @@ -8,7 +8,8 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalStorage, FixedElectricalPort -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import PathTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/serialisable_graph.py b/examples/serialisable_graph.py index ccb7abe..be2d38c 100644 --- a/examples/serialisable_graph.py +++ b/examples/serialisable_graph.py @@ -8,7 +8,8 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalStorage, FixedElectricalPort -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ThroughputCost from echo.optimiser import optimise diff --git a/examples/simple_behind_the_meter_network.py b/examples/simple_behind_the_meter_network.py index b13044f..6b327b4 100644 --- a/examples/simple_behind_the_meter_network.py +++ b/examples/simple_behind_the_meter_network.py @@ -1,7 +1,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) """ A behind-the-meter battery network diff --git a/examples/simple_thermal_network.py b/examples/simple_thermal_network.py index 28b083c..970ea5b 100644 --- a/examples/simple_thermal_network.py +++ b/examples/simple_thermal_network.py @@ -4,7 +4,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, Sink, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.models.thermal import ThermalStorage from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakPositivePower diff --git a/examples/stand_alone_power_system.py b/examples/stand_alone_power_system.py index 2c32c85..787b32f 100644 --- a/examples/stand_alone_power_system.py +++ b/examples/stand_alone_power_system.py @@ -7,14 +7,11 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ( - ElectricalDemand, - ElectricalGeneration, - ElectricalStorage, - Inverter, -) +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) from echo.models.prebuilt import DieselGenerator -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/examples/using_dataframes.py b/examples/using_dataframes.py index 7af63e3..ccb7566 100644 --- a/examples/using_dataframes.py +++ b/examples/using_dataframes.py @@ -4,7 +4,8 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration, FixedElectricalPort -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.optimiser import optimise time_periods = 48 diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index 748f07a..6f2bb4b 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -8,27 +8,16 @@ from echo.exceptions import ConfigurationError, validate from echo.models.base import Node, Port from echo.models.scenario import EchoConcreteModel -from echo.utils import ( - TimeExpandableType, - TimeSeriesData, - expand_as_array, - generate_array_constraint, - populate_values_across_time_and_expansion_indices, - set_float_var_bounds, - set_var_bounds_from_dict, -) -from echo.validators import ( - ArrayType, - check_bound_order, - dod_checks, - node_unit_validator, - nonnegative_costs, - nonnegative_load, - nonpositive_generation, - set_bounds_from_piecewise_points, - validate_partition_ports, - validate_piecewise_arrays, -) +from echo.utils import (TimeExpandableType, TimeSeriesData, expand_as_array, + generate_array_constraint, + populate_values_across_time_and_expansion_indices, + set_float_var_bounds, set_var_bounds_from_dict) +from echo.validators import (ArrayType, check_bound_order, dod_checks, + node_unit_validator, nonnegative_costs, + nonnegative_load, nonpositive_generation, + set_bounds_from_piecewise_points, + validate_partition_ports, + validate_piecewise_arrays) """ diff --git a/src/echo/models/base.py b/src/echo/models/base.py index dc47fef..5f4da64 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -10,26 +10,16 @@ from pydantic import BaseModel as PydanticBaseModel from pydantic import Field, validator -from echo.configuration import ( - FlowConstraint, - Flows, - OptimisationType, - TransformRule, - Units, -) -from echo.constants import negative_variable_component, positive_variable_component +from echo.configuration import (FlowConstraint, Flows, OptimisationType, + TransformRule, Units) +from echo.constants import (negative_variable_component, + positive_variable_component) from echo.exceptions import ConfigurationError, validate from echo.models.scenario import EchoConcreteModel -from echo.utils import ( - TimeExpandableType, - TimeSeriesData, - domain_from_flow, - expand_as_array, - expand_as_dict, - generate_array_constraint, - set_var_bounds_from_dict, - to_initial_values, -) +from echo.utils import (TimeExpandableType, TimeSeriesData, domain_from_flow, + expand_as_array, expand_as_dict, + generate_array_constraint, set_var_bounds_from_dict, + to_initial_values) from echo.validators import ArrayType, export_cons_check, import_cons_check diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index b359534..1959a1f 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -8,29 +8,17 @@ from deprecated import deprecated from pydantic import Field, NonNegativeFloat -from echo.configuration import ( - EVChargeMode, - EVChargeStatus, - FlowConstraint, - Flows, - OptimisationType, - TransformRule, - Units, -) +from echo.configuration import (EVChargeMode, EVChargeStatus, FlowConstraint, + Flows, OptimisationType, TransformRule, Units) from echo.exceptions import ConfigurationError, validate -from echo.models.agnostic import ( - BoundedLoad, - Demand, - FixedPort, - FlexPort, - MobileStorage, - Source, - Storage, -) +from echo.models.agnostic import (BoundedLoad, Demand, FixedPort, FlexPort, + MobileStorage, Source, Storage) from echo.models.base import Node, Transform, TransformNode, TransformTerm from echo.models.scenario import EchoConcreteModel -from echo.utils import TimeExpandableType, fix_port_variable, set_var_bounds_from_dict -from echo.validators import ArrayType, check_initial_state_of_charge_within_bounds +from echo.utils import (TimeExpandableType, fix_port_variable, + set_var_bounds_from_dict) +from echo.validators import (ArrayType, + check_initial_state_of_charge_within_bounds) class ElectricalDemand(Demand): diff --git a/src/echo/models/gas.py b/src/echo/models/gas.py index ef24b0c..f1c3509 100644 --- a/src/echo/models/gas.py +++ b/src/echo/models/gas.py @@ -4,13 +4,12 @@ from pydantic import NonNegativeFloat, root_validator from echo.configuration import Units -from echo.models.agnostic import FixedPort, FlexPort, InputOutputNode, OffOrConstrainedPort +from echo.models.agnostic import (FixedPort, FlexPort, InputOutputNode, + OffOrConstrainedPort) from echo.models.scenario import EchoConcreteModel from echo.validators import ( - ArrayType, - set_output_bounds_from_input_bounds_and_cop_and_startup_cop, - validate_startup_efficiency, -) + ArrayType, set_output_bounds_from_input_bounds_and_cop_and_startup_cop, + validate_startup_efficiency) class FlexGasPort(FlexPort): diff --git a/src/echo/models/prebuilt.py b/src/echo/models/prebuilt.py index 15ff779..5b888de 100644 --- a/src/echo/models/prebuilt.py +++ b/src/echo/models/prebuilt.py @@ -4,7 +4,8 @@ from pydantic import NonNegativeFloat, PositiveFloat from echo.configuration import Units -from echo.models.agnostic import Demand, FlexPort, FlexSink, InputOutputNode, OffOrConstrainedPort +from echo.models.agnostic import (Demand, FlexPort, FlexSink, InputOutputNode, + OffOrConstrainedPort) from echo.models.base import Node, TransformNode from echo.models.carbon import CarbonSource from echo.models.electrical import ElectricalGeneration, ElectricalStorage diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index caca0b1..f52c00b 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -2,22 +2,20 @@ import pandas as pd import pyomo.environ as en -from pydantic import NegativeFloat, NonNegativeFloat, PositiveFloat, root_validator, validator +from pydantic import (NegativeFloat, NonNegativeFloat, PositiveFloat, + root_validator, validator) from scipy import interpolate from echo.configuration import FlowConstraint, Units -from echo.models.agnostic import FlexPort, FlexSink, FlexSource, TimeVaryingPiecewiseIONode +from echo.models.agnostic import (FlexPort, FlexSink, FlexSource, + TimeVaryingPiecewiseIONode) from echo.models.base import Node from echo.models.scenario import EchoConcreteModel -from echo.utils import ( - TimeSeriesData, - clamp, - expand_as_dict, - set_float_var_bounds, - set_var_bounds_from_dict, - to_initial_values, -) -from echo.validators import non_negative_cop_check, validate_partial_load_cop, validate_temperature_dependent_cop +from echo.utils import (TimeSeriesData, clamp, expand_as_dict, + set_float_var_bounds, set_var_bounds_from_dict, + to_initial_values) +from echo.validators import (non_negative_cop_check, validate_partial_load_cop, + validate_temperature_dependent_cop) class SimpleChiller(Node): diff --git a/src/echo/objectives/tariff.py b/src/echo/objectives/tariff.py index fe26246..ab0d175 100644 --- a/src/echo/objectives/tariff.py +++ b/src/echo/objectives/tariff.py @@ -6,15 +6,8 @@ import pandas as pd import pyomo.environ as en import shortuuid -from pydantic import ( - Field, - NonNegativeFloat, - NonPositiveFloat, - PositiveFloat, - PositiveInt, - root_validator, - validator, -) +from pydantic import (Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, + PositiveInt, root_validator, validator) from echo.exceptions import validate from echo.models.base import BaseModel as EchoBaseModel diff --git a/src/echo/optimiser.py b/src/echo/optimiser.py index b09780c..fd31990 100644 --- a/src/echo/optimiser.py +++ b/src/echo/optimiser.py @@ -6,11 +6,13 @@ import numpy as np import pandas as pd import pyomo.environ as en -from pyomo.opt import SolverFactory, SolverResults, SolverStatus, TerminationCondition +from pyomo.opt import (SolverFactory, SolverResults, SolverStatus, + TerminationCondition) from echo.exceptions import ConfigurationError, OptimiserResultError, validate from echo.models.base import Node, OptimisationGraph, Port -from echo.models.scenario import EchoConcreteModel, EngineSettings, ScenarioSettings +from echo.models.scenario import (EchoConcreteModel, EngineSettings, + ScenarioSettings) from echo.objectives.base import Objective, ObjectiveSet # The default set of termination conditions that pyomo can return and echo will report as a success diff --git a/tests/test_agnostic_integration.py b/tests/test_agnostic_integration.py index 7e9be6f..3d8665f 100644 --- a/tests/test_agnostic_integration.py +++ b/tests/test_agnostic_integration.py @@ -3,13 +3,11 @@ import pandas as pd from echo.configuration import Units -from echo.models.agnostic import ( - FlexPort, - PartitionedMultiCommodityTellegenNode, - Sink, -) +from echo.models.agnostic import (FlexPort, + PartitionedMultiCommodityTellegenNode, Sink) from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.optimiser import optimise NUMBER_INTERVALS = 10 diff --git a/tests/test_agnostic_models.py b/tests/test_agnostic_models.py index 56e5817..0ceddfe 100644 --- a/tests/test_agnostic_models.py +++ b/tests/test_agnostic_models.py @@ -4,16 +4,11 @@ import pytest from echo.configuration import Units -from echo.models.agnostic import ( - FlexPort, - PartitionedMultiCommodityTellegenNode, - ThreeWayValveNode, -) -from echo.models.scenario import ( - EchoConcreteModel, - ScenarioSettings, - engine_settings_from_environment, -) +from echo.models.agnostic import (FlexPort, + PartitionedMultiCommodityTellegenNode, + ThreeWayValveNode) +from echo.models.scenario import (EchoConcreteModel, ScenarioSettings, + engine_settings_from_environment) def empty_model(): diff --git a/tests/test_asset_types.py b/tests/test_asset_types.py index b119d92..0171e39 100644 --- a/tests/test_asset_types.py +++ b/tests/test_asset_types.py @@ -4,9 +4,11 @@ from echo.models.agnostic import FlexPort, Sink, TellegenNode from echo.models.base import Node, OptimisationGraph, TransformNode from echo.models.carbon import CarbonAggregation, CarbonSink, CarbonSource -from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage +from echo.models.electrical import (ElectricalDemand, ElectricalPort, + ElectricalStorage) from echo.models.gas import FlexGasPort, GasBoilerFixedCOP -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_base.py b/tests/test_base.py index 6306069..e924638 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -5,9 +5,11 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import EVV0G, EVV1G, EVV2G, ElectricalGeneration, Inverter +from echo.models.electrical import (EVV0G, EVV1G, EVV2G, ElectricalGeneration, + Inverter) from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_contingency_capacity.py b/tests/test_contingency_capacity.py index c3d49ff..3c3a5a0 100644 --- a/tests/test_contingency_capacity.py +++ b/tests/test_contingency_capacity.py @@ -3,8 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.contingency import ContingencyNegative from echo.optimiser import optimise diff --git a/tests/test_contingency_positive_capacity.py b/tests/test_contingency_positive_capacity.py index c88460f..afb18ca 100644 --- a/tests/test_contingency_positive_capacity.py +++ b/tests/test_contingency_positive_capacity.py @@ -3,13 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ( - ElectricalDemand, - ElectricalGeneration, - ElectricalStorage, - Inverter, -) -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.contingency import ContingencyPositive from echo.optimiser import optimise diff --git a/tests/test_electrical.py b/tests/test_electrical.py index 1320c51..31eafd9 100644 --- a/tests/test_electrical.py +++ b/tests/test_electrical.py @@ -5,7 +5,8 @@ from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration, Inverter from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_evs.py b/tests/test_evs.py index f8e10c7..51fb7be 100644 --- a/tests/test_evs.py +++ b/tests/test_evs.py @@ -9,18 +9,12 @@ from echo.exceptions import ConfigurationError from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ( - EVV0G, - EVV1G, - EVV2G, - ElectricalDemand, - ElectricalGeneration, - ElectricalPort, - EVWithProfile, - Inverter, -) +from echo.models.electrical import (EVV0G, EVV1G, EVV2G, ElectricalDemand, + ElectricalGeneration, ElectricalPort, + EVWithProfile, Inverter) from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/tests/test_hybrid_inverter_behaviour.py b/tests/test_hybrid_inverter_behaviour.py index fbe79af..2454888 100644 --- a/tests/test_hybrid_inverter_behaviour.py +++ b/tests/test_hybrid_inverter_behaviour.py @@ -3,8 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_inverter_efficiency_behaviour.py b/tests/test_inverter_efficiency_behaviour.py index 48461da..0e8b6d5 100644 --- a/tests/test_inverter_efficiency_behaviour.py +++ b/tests/test_inverter_efficiency_behaviour.py @@ -3,13 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ( - ElectricalDemand, - ElectricalGeneration, - ElectricalStorage, - Inverter, -) -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_load_control_schemes.py b/tests/test_load_control_schemes.py index 93a3dd8..226a8a7 100644 --- a/tests/test_load_control_schemes.py +++ b/tests/test_load_control_schemes.py @@ -2,9 +2,12 @@ from echo.configuration import TransformRule, Units from echo.models.agnostic import FlexPort, TellegenNode, TimeDelayNode -from echo.models.base import Node, OptimisationGraph, Transform, TransformNode, TransformTerm -from echo.models.electrical import BoundedElectricalLoad, ElectricalDemand, ElectricalPort -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.base import (Node, OptimisationGraph, Transform, + TransformNode, TransformTerm) +from echo.models.electrical import (BoundedElectricalLoad, ElectricalDemand, + ElectricalPort) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_new_demand_tariffs.py b/tests/test_new_demand_tariffs.py index d8b5dd9..d6cbabc 100644 --- a/tests/test_new_demand_tariffs.py +++ b/tests/test_new_demand_tariffs.py @@ -4,9 +4,11 @@ from echo.models.agnostic import FlexPort from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalDemand, ElectricalGeneration -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import DemandTariffObjective, ExportDemandCharge, ImportDemandCharge +from echo.objectives.tariff import (DemandTariffObjective, ExportDemandCharge, + ImportDemandCharge) from echo.optimiser import optimise diff --git a/tests/test_objective_functions.py b/tests/test_objective_functions.py index d6f79e2..f39a581 100644 --- a/tests/test_objective_functions.py +++ b/tests/test_objective_functions.py @@ -3,21 +3,14 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ( - ElectricalDemand, - ElectricalGeneration, - ElectricalStorage, - Inverter, -) -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import ( - DemandTariffObjective, - ExportTariff, - ImportDemandCharge, - ImportTariff, - ThroughputCost, -) +from echo.objectives.tariff import (DemandTariffObjective, ExportTariff, + ImportDemandCharge, ImportTariff, + ThroughputCost) from echo.optimiser import optimise diff --git a/tests/test_path_tracing.py b/tests/test_path_tracing.py index 7f0fde4..12f460f 100644 --- a/tests/test_path_tracing.py +++ b/tests/test_path_tracing.py @@ -3,8 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.optimiser import optimise diff --git a/tests/test_peak_power_objective.py b/tests/test_peak_power_objective.py index fff11e8..ae827ab 100644 --- a/tests/test_peak_power_objective.py +++ b/tests/test_peak_power_objective.py @@ -3,7 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import ControlledLoad, FlexPort from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.power import QuadraticPower from echo.optimiser import optimise diff --git a/tests/test_peak_power_optimisation.py b/tests/test_peak_power_optimisation.py index ff24452..bab8ce4 100644 --- a/tests/test_peak_power_optimisation.py +++ b/tests/test_peak_power_optimisation.py @@ -1,8 +1,10 @@ from echo.configuration import OptimisationType, Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalPort, + ElectricalStorage) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakNegativePower, PeakPositivePower from echo.optimiser import optimise diff --git a/tests/test_simple_controlled_load.py b/tests/test_simple_controlled_load.py index c42a54a..2816120 100644 --- a/tests/test_simple_controlled_load.py +++ b/tests/test_simple_controlled_load.py @@ -3,7 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import ControlledLoad, FlexPort from echo.models.base import Edge, Node, OptimisationGraph -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalExportFlow, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_simple_solar_curtailment.py b/tests/test_simple_solar_curtailment.py index 9eda68f..b85cc4a 100644 --- a/tests/test_simple_solar_curtailment.py +++ b/tests/test_simple_solar_curtailment.py @@ -4,7 +4,8 @@ from echo.models.agnostic import FlexPort, FlexSink, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalFlow, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_slack_variables.py b/tests/test_slack_variables.py index 701727c..c7c52a9 100644 --- a/tests/test_slack_variables.py +++ b/tests/test_slack_variables.py @@ -4,7 +4,8 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_tariffs.py b/tests/test_tariffs.py index 337edbe..f796814 100644 --- a/tests/test_tariffs.py +++ b/tests/test_tariffs.py @@ -9,18 +9,15 @@ from echo.configuration import FlowConstraint, Flows, Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage +from echo.models.electrical import (ElectricalDemand, ElectricalPort, + ElectricalStorage) from echo.models.prebuilt import FlexNode, Load -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import ( - BlockImportTariff, - DemandTariffObjective, - ImportDemandCharge, - ImportTariff, - PathTariff, - ThroughputCost, -) +from echo.objectives.tariff import (BlockImportTariff, DemandTariffObjective, + ImportDemandCharge, ImportTariff, + PathTariff, ThroughputCost) from echo.optimiser import optimise diff --git a/tests/test_thermal_models.py b/tests/test_thermal_models.py index ec3e76e..ea5fe36 100644 --- a/tests/test_thermal_models.py +++ b/tests/test_thermal_models.py @@ -3,11 +3,8 @@ import pytest from echo.configuration import Units -from echo.models.thermal import ( - SimpleChiller, - SimpleHeatPump, - SimpleHeatPumpDualOutput, -) +from echo.models.thermal import (SimpleChiller, SimpleHeatPump, + SimpleHeatPumpDualOutput) from echo.utils import TimeSeriesData, expand_as_dict NUMBER_INTERVALS = 5 diff --git a/tests/test_thermal_models_optimisation.py b/tests/test_thermal_models_optimisation.py index a63b036..2fb8246 100644 --- a/tests/test_thermal_models_optimisation.py +++ b/tests/test_thermal_models_optimisation.py @@ -4,24 +4,14 @@ import pandas as pd from echo.configuration import FlowConstraint, Flows, OptimisationType, Units -from echo.models.agnostic import ( - AggregationNode, - FlexPort, - Sink, - Source, - TellegenNode, - ThreeWayValveNode, -) +from echo.models.agnostic import (AggregationNode, FlexPort, Sink, Source, + TellegenNode, ThreeWayValveNode) from echo.models.base import Node, OptimisationGraph, Port -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment -from echo.models.thermal import ( - ParameterisedChiller, - ParameterisedHeatPump, - SimpleChiller, - SimpleHeatPump, - SimpleHeatPumpDualOutput, - ThermalStorage, -) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) +from echo.models.thermal import (ParameterisedChiller, ParameterisedHeatPump, + SimpleChiller, SimpleHeatPump, + SimpleHeatPumpDualOutput, ThermalStorage) from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakPositivePower from echo.objectives.tariff import ThroughputCost diff --git a/tests/test_utils.py b/tests/test_utils.py index 7387533..b457e26 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -1,7 +1,8 @@ import numpy as np import pytest -from echo.utils import TimeSeriesData, UnexpandableTimeSeriesDataError, expand_as_array, expand_as_dict +from echo.utils import (TimeSeriesData, UnexpandableTimeSeriesDataError, + expand_as_array, expand_as_dict) @pytest.mark.parametrize( From 528a4cc15f27fde8e53fffbef57cedf70cdc24bf Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 13:24:57 +1000 Subject: [PATCH 15/44] Ran ruff check --fix --- docs/source/conf.py | 1 + examples/behind_the_meter_with_battery.py | 5 +- examples/demand_tariff.py | 6 +- examples/demand_tariff_with_time_periods.py | 15 ++- examples/electric_vehicles.py | 3 +- .../demand_tariffs_time_periods.ipynb | 17 +-- .../jupyter_examples/electric_vehicles.ipynb | 1 - examples/jupyter_examples/path_tracing.ipynb | 11 +- .../jupyter_examples/slack_variables.ipynb | 8 +- examples/neighbourhood_battery.py | 12 +- ...ighbourhood_battery_with_aggregate_load.py | 9 +- examples/serialisable_graph.py | 9 +- examples/simple_behind_the_meter_network.py | 3 +- examples/simple_thermal_network.py | 3 +- examples/stand_alone_power_system.py | 6 +- examples/using_dataframes.py | 3 +- src/echo/functional.py | 6 +- src/echo/models/agnostic.py | 110 +++++++++--------- src/echo/models/base.py | 103 ++++++++-------- src/echo/models/carbon.py | 4 +- src/echo/models/electrical.py | 106 ++++++++--------- src/echo/models/gas.py | 18 +-- src/echo/models/prebuilt.py | 14 +-- src/echo/models/scenario.py | 3 +- src/echo/models/thermal.py | 59 +++++----- src/echo/objectives/base.py | 9 +- src/echo/objectives/power.py | 3 +- src/echo/objectives/tariff.py | 34 +++--- src/echo/optimiser.py | 32 +++-- src/echo/utils.py | 14 +-- src/echo/validators.py | 6 +- tests/test_agnostic_integration.py | 6 +- tests/test_agnostic_models.py | 7 +- tests/test_asset_types.py | 8 +- tests/test_base.py | 7 +- tests/test_contingency_capacity.py | 6 +- tests/test_contingency_positive_capacity.py | 6 +- tests/test_electrical.py | 4 +- tests/test_evs.py | 26 +++-- tests/test_hybrid_inverter_behaviour.py | 6 +- tests/test_inverter_efficiency_behaviour.py | 6 +- tests/test_load_control_schemes.py | 9 +- tests/test_new_demand_tariffs.py | 6 +- tests/test_objective_functions.py | 11 +- tests/test_path_tracing.py | 6 +- tests/test_peak_power_objective.py | 3 +- tests/test_peak_power_optimisation.py | 6 +- tests/test_simple_controlled_load.py | 3 +- tests/test_simple_solar_curtailment.py | 3 +- tests/test_slack_variables.py | 3 +- tests/test_tariffs.py | 17 +-- tests/test_thermal_models.py | 3 +- tests/test_thermal_models_optimisation.py | 17 +-- tests/test_utils.py | 3 +- 54 files changed, 383 insertions(+), 422 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 6969480..9a5a1a7 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -7,6 +7,7 @@ # -- Path setup -------------------------------------------------------------- import importlib.metadata + # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. diff --git a/examples/behind_the_meter_with_battery.py b/examples/behind_the_meter_with_battery.py index 8f3fe10..5c9dded 100644 --- a/examples/behind_the_meter_with_battery.py +++ b/examples/behind_the_meter_with_battery.py @@ -10,8 +10,7 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter from echo.models.scenario import EngineSettings, ScenarioSettings from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakNegativePower @@ -65,7 +64,7 @@ import_tariff_array = np.array( ([0.1] * 28 + [0.3] * 8 + [0.2] * 32 + [0.3] * 16 + [0.1] * 12) * duration_multiplication ) -export_tariff_array = np.array(([0.0] * 96 * duration_multiplication)) +export_tariff_array = np.array([0.0] * 96 * duration_multiplication) # Set up hyper parameters time_periods = len(test_load) # number of time periods to run the optimisation for diff --git a/examples/demand_tariff.py b/examples/demand_tariff.py index c4d8f07..c25a2de 100644 --- a/examples/demand_tariff.py +++ b/examples/demand_tariff.py @@ -8,11 +8,9 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import OptimisationGraph from echo.models.prebuilt import Battery, FlexNode, Load -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (DemandTariffObjective, ImportDemandCharge, - ThroughputCost) +from echo.objectives.tariff import DemandTariffObjective, ImportDemandCharge, ThroughputCost from echo.optimiser import optimise SOLVER = os.environ.get("OPTIMISER_ENGINE", "cplex") diff --git a/examples/demand_tariff_with_time_periods.py b/examples/demand_tariff_with_time_periods.py index bfbc75b..edf7692 100644 --- a/examples/demand_tariff_with_time_periods.py +++ b/examples/demand_tariff_with_time_periods.py @@ -6,12 +6,17 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalDemand, ElectricalStorage -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (Day, DemandTariffObjective, - ImportDemandCharge, ResetPeriod, - ThroughputCost, TimePeriod, Window) +from echo.objectives.tariff import ( + Day, + DemandTariffObjective, + ImportDemandCharge, + ResetPeriod, + ThroughputCost, + TimePeriod, + Window, +) from echo.optimiser import optimise expansion_periods = 1 diff --git a/examples/electric_vehicles.py b/examples/electric_vehicles.py index f555156..acf4657 100644 --- a/examples/electric_vehicles.py +++ b/examples/electric_vehicles.py @@ -13,8 +13,7 @@ from echo.models.base import OptimisationGraph from echo.models.electrical import EVV0G, EVV1G, EVV2G, EVWithProfile from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/jupyter_examples/demand_tariffs_time_periods.ipynb b/examples/jupyter_examples/demand_tariffs_time_periods.ipynb index f6382b0..4a5ca07 100644 --- a/examples/jupyter_examples/demand_tariffs_time_periods.ipynb +++ b/examples/jupyter_examples/demand_tariffs_time_periods.ipynb @@ -33,9 +33,10 @@ }, "outputs": [], "source": [ - "from datetime import datetime, timedelta, time\n", - "import pandas as pd\n", + "from datetime import datetime, time, timedelta\n", + "\n", "import numpy as np\n", + "import pandas as pd\n", "\n", "np.set_printoptions(suppress=True)" ] @@ -46,14 +47,14 @@ "metadata": {}, "outputs": [], "source": [ - "from echo.models.base import Node, OptimisationGraph\n", - "from echo.models.agnostic import FlexPort, TellegenNode\n", - "from echo.models.electrical import ElectricalDemand, ElectricalStorage, ElectricalGeneration\n", "from echo.configuration import Units\n", - "from echo.objectives.tariff import Window, TimePeriod, ResetPeriod, Day, ImportDemandCharge, DemandTariffObjective\n", + "from echo.models.agnostic import FlexPort, TellegenNode\n", + "from echo.models.base import Node, OptimisationGraph\n", + "from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage\n", + "from echo.models.scenario import EngineSettings, ScenarioSettings\n", "from echo.objectives.base import ObjectiveSet\n", - "from echo.optimiser import optimise\n", - "from echo.models.scenario import EngineSettings, ScenarioSettings" + "from echo.objectives.tariff import Day, DemandTariffObjective, ImportDemandCharge, ResetPeriod, TimePeriod, Window\n", + "from echo.optimiser import optimise" ] }, { diff --git a/examples/jupyter_examples/electric_vehicles.ipynb b/examples/jupyter_examples/electric_vehicles.ipynb index ff39dc4..70a0629 100644 --- a/examples/jupyter_examples/electric_vehicles.ipynb +++ b/examples/jupyter_examples/electric_vehicles.ipynb @@ -107,7 +107,6 @@ "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", - "from pyomo.util.infeasible import log_infeasible_constraints\n", "\n", "from echo.configuration import Units\n", "from echo.models.agnostic import FlexPort, TellegenNode\n", diff --git a/examples/jupyter_examples/path_tracing.ipynb b/examples/jupyter_examples/path_tracing.ipynb index dff3468..76935fd 100644 --- a/examples/jupyter_examples/path_tracing.ipynb +++ b/examples/jupyter_examples/path_tracing.ipynb @@ -30,7 +30,6 @@ "metadata": {}, "outputs": [], "source": [ - "import pprint\n", "import numpy as np\n", "\n", "np.set_printoptions(suppress=True)" @@ -42,14 +41,14 @@ "metadata": {}, "outputs": [], "source": [ - "from echo.models.base import Node, OptimisationGraph\n", + "from echo.configuration import Units\n", "from echo.models.agnostic import FlexPort, TellegenNode\n", + "from echo.models.base import Node, OptimisationGraph\n", "from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage\n", - "from echo.configuration import Units\n", - "from echo.objectives.tariff import PathTariff\n", + "from echo.models.scenario import EngineSettings, ScenarioSettings\n", "from echo.objectives.base import ObjectiveSet\n", - "from echo.optimiser import optimise\n", - "from echo.models.scenario import EngineSettings, ScenarioSettings" + "from echo.objectives.tariff import PathTariff\n", + "from echo.optimiser import optimise" ] }, { diff --git a/examples/jupyter_examples/slack_variables.ipynb b/examples/jupyter_examples/slack_variables.ipynb index 45f1187..c3c31ed 100644 --- a/examples/jupyter_examples/slack_variables.ipynb +++ b/examples/jupyter_examples/slack_variables.ipynb @@ -33,12 +33,12 @@ "source": [ "import numpy as np\n", "\n", - "from echo.models.base import Node, OptimisationGraph\n", + "from echo.configuration import Units\n", "from echo.models.agnostic import FlexPort\n", + "from echo.models.base import Node, OptimisationGraph\n", "from echo.models.electrical import ElectricalGeneration, Inverter\n", - "from echo.configuration import Units\n", - "from echo.optimiser import optimise\n", - "from echo.models.scenario import EngineSettings, ScenarioSettings" + "from echo.models.scenario import EngineSettings, ScenarioSettings\n", + "from echo.optimiser import optimise" ] }, { diff --git a/examples/neighbourhood_battery.py b/examples/neighbourhood_battery.py index 214ea28..218c786 100644 --- a/examples/neighbourhood_battery.py +++ b/examples/neighbourhood_battery.py @@ -7,10 +7,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import PathTariff, ThroughputCost from echo.optimiser import optimise @@ -42,7 +40,7 @@ test_pv = -1 * 2 * data_df["solar"].to_numpy() # Tariffs are in $ / kwh -remote_energy_tariff = np.array(([0.1] * 28 + [0.25] * 8 + [0.1] * 32 + [0.25] * 16 + [0.1] * 12)) +remote_energy_tariff = np.array([0.1] * 28 + [0.25] * 8 + [0.1] * 32 + [0.25] * 16 + [0.1] * 12) remote_transport_import = np.array([0.15] * 96) local_energy_tariff = remote_energy_tariff # local_energy_tariff = np.array(([0.1] * 28 + [0.2] * 8 + [0.0] * 32 + [0.2] * 16 + [0.1] * 12)) @@ -51,8 +49,8 @@ remote_transport_export = np.array([0.0] * 96) local_transport_export = np.array([0.0] * 96) -import_tariff_array = np.array(([0.1] * 28 + [0.3] * 8 + [0.2] * 32 + [0.3] * 16 + [0.1] * 12)) -export_tariff_array = np.array(([0.0] * 96)) +import_tariff_array = np.array([0.1] * 28 + [0.3] * 8 + [0.2] * 32 + [0.3] * 16 + [0.1] * 12) +export_tariff_array = np.array([0.0] * 96) # Optimise this Example diff --git a/examples/neighbourhood_battery_with_aggregate_load.py b/examples/neighbourhood_battery_with_aggregate_load.py index ed09b3c..f30e504 100644 --- a/examples/neighbourhood_battery_with_aggregate_load.py +++ b/examples/neighbourhood_battery_with_aggregate_load.py @@ -8,8 +8,7 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalStorage, FixedElectricalPort -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import PathTariff, ThroughputCost from echo.optimiser import optimise @@ -42,7 +41,7 @@ aggregate_load = test_load + test_pv # Tariffs are in $ / kwh -remote_energy_tariff = np.array(([0.1] * 28 + [0.25] * 8 + [0.1] * 32 + [0.25] * 16 + [0.1] * 12)) +remote_energy_tariff = np.array([0.1] * 28 + [0.25] * 8 + [0.1] * 32 + [0.25] * 16 + [0.1] * 12) remote_transport_import = np.array([0.15] * 96) local_energy_tariff = remote_energy_tariff # local_energy_tariff = np.array(([0.1] * 28 + [0.2] * 8 + [0.0] * 32 + [0.2] * 16 + [0.1] * 12)) @@ -51,8 +50,8 @@ remote_transport_export = np.array([0.0] * 96) local_transport_export = np.array([0.0] * 96) -import_tariff_array = np.array(([0.1] * 28 + [0.3] * 8 + [0.2] * 32 + [0.3] * 16 + [0.1] * 12)) -export_tariff_array = np.array(([0.0] * 96)) +import_tariff_array = np.array([0.1] * 28 + [0.3] * 8 + [0.2] * 32 + [0.3] * 16 + [0.1] * 12) +export_tariff_array = np.array([0.0] * 96) # Optimise this Example diff --git a/examples/serialisable_graph.py b/examples/serialisable_graph.py index be2d38c..b9ad312 100644 --- a/examples/serialisable_graph.py +++ b/examples/serialisable_graph.py @@ -8,8 +8,7 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalStorage, FixedElectricalPort -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ThroughputCost from echo.optimiser import optimise @@ -43,7 +42,7 @@ aggregate_load = test_load + test_pv # Tariffs are in $ / kwh -remote_energy_tariff = np.array(([0.1] * 28 + [0.25] * 8 + [0.1] * 32 + [0.25] * 16 + [0.1] * 12)) +remote_energy_tariff = np.array([0.1] * 28 + [0.25] * 8 + [0.1] * 32 + [0.25] * 16 + [0.1] * 12) remote_transport_import = np.array([0.15] * 96) local_energy_tariff = remote_energy_tariff # local_energy_tariff = np.array(([0.1] * 28 + [0.2] * 8 + [0.0] * 32 + [0.2] * 16 + [0.1] * 12)) @@ -52,8 +51,8 @@ remote_transport_export = np.array([0.0] * 96) local_transport_export = np.array([0.0] * 96) -import_tariff_array = np.array(([0.1] * 28 + [0.3] * 8 + [0.2] * 32 + [0.3] * 16 + [0.1] * 12)) -export_tariff_array = np.array(([0.0] * 96)) +import_tariff_array = np.array([0.1] * 28 + [0.3] * 8 + [0.2] * 32 + [0.3] * 16 + [0.1] * 12) +export_tariff_array = np.array([0.0] * 96) # Optimise this Example diff --git a/examples/simple_behind_the_meter_network.py b/examples/simple_behind_the_meter_network.py index 6b327b4..b13044f 100644 --- a/examples/simple_behind_the_meter_network.py +++ b/examples/simple_behind_the_meter_network.py @@ -1,8 +1,7 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter """ A behind-the-meter battery network diff --git a/examples/simple_thermal_network.py b/examples/simple_thermal_network.py index 970ea5b..28b083c 100644 --- a/examples/simple_thermal_network.py +++ b/examples/simple_thermal_network.py @@ -4,8 +4,7 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, Sink, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.models.thermal import ThermalStorage from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakPositivePower diff --git a/examples/stand_alone_power_system.py b/examples/stand_alone_power_system.py index 787b32f..9d5ad52 100644 --- a/examples/stand_alone_power_system.py +++ b/examples/stand_alone_power_system.py @@ -7,11 +7,9 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter from echo.models.prebuilt import DieselGenerator -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/examples/using_dataframes.py b/examples/using_dataframes.py index ccb7566..7af63e3 100644 --- a/examples/using_dataframes.py +++ b/examples/using_dataframes.py @@ -4,8 +4,7 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration, FixedElectricalPort -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.optimiser import optimise time_periods = 48 diff --git a/src/echo/functional.py b/src/echo/functional.py index 37fd668..57c9a45 100644 --- a/src/echo/functional.py +++ b/src/echo/functional.py @@ -4,8 +4,8 @@ def is_list( obj: typing.Any, - scalars: typing.Tuple = (Mapping, str), - iters: typing.Tuple[typing.Type[typing.Iterable]] = (Iterable,), + scalars: tuple = (Mapping, str), + iters: tuple[type[typing.Iterable]] = (Iterable,), ) -> bool: """Return true if the object is iterable. @@ -46,7 +46,7 @@ def is_list( return isinstance(obj, iters) and not isinstance(obj, scalars or ()) -def maybe_list(obj: typing.Any, scalars: typing.Tuple = (Mapping, str)) -> typing.List: +def maybe_list(obj: typing.Any, scalars: tuple = (Mapping, str)) -> list: """Return list of one element if ``l`` is a scalar. Taken from diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index 6f2bb4b..4e32f7a 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -1,4 +1,3 @@ -from typing import Optional, Union import pandas as pd import pyomo.environ as en @@ -8,16 +7,27 @@ from echo.exceptions import ConfigurationError, validate from echo.models.base import Node, Port from echo.models.scenario import EchoConcreteModel -from echo.utils import (TimeExpandableType, TimeSeriesData, expand_as_array, - generate_array_constraint, - populate_values_across_time_and_expansion_indices, - set_float_var_bounds, set_var_bounds_from_dict) -from echo.validators import (ArrayType, check_bound_order, dod_checks, - node_unit_validator, nonnegative_costs, - nonnegative_load, nonpositive_generation, - set_bounds_from_piecewise_points, - validate_partition_ports, - validate_piecewise_arrays) +from echo.utils import ( + TimeExpandableType, + TimeSeriesData, + expand_as_array, + generate_array_constraint, + populate_values_across_time_and_expansion_indices, + set_float_var_bounds, + set_var_bounds_from_dict, +) +from echo.validators import ( + ArrayType, + check_bound_order, + dod_checks, + node_unit_validator, + nonnegative_costs, + nonnegative_load, + nonpositive_generation, + set_bounds_from_piecewise_points, + validate_partition_ports, + validate_piecewise_arrays, +) """ @@ -69,7 +79,7 @@ class Source(Port): def add_source_profile(self, source_values: dict): self.set_initial_value(source_values) - def add_source_profile_from_array(self, source_values, expansion_periods=1, time_periods: Optional[int] = None): + def add_source_profile_from_array(self, source_values, expansion_periods=1, time_periods: int | None = None): self.set_initial_value_from_array(source_values, expansion_periods, time_periods) @@ -87,7 +97,7 @@ class Sink(Port): def add_sink_profile(self, sink_values: dict): self.set_initial_value(sink_values) - def add_sink_profile_from_array(self, sink_values, expansion_periods=1, time_periods: Optional[int] = None): + def add_sink_profile_from_array(self, sink_values, expansion_periods=1, time_periods: int | None = None): self.set_initial_value_from_array( array=sink_values, expansion_periods=expansion_periods, time_periods=time_periods ) @@ -98,7 +108,7 @@ def add_demand_profile(self, demand: dict): self.set_initial_value(demand) def add_demand_profile_from_array( - self, demand: TimeExpandableType, expansion_periods=1, time_periods: Optional[int] = None + self, demand: TimeExpandableType, expansion_periods=1, time_periods: int | None = None ): self.set_initial_value_from_array(array=demand, expansion_periods=expansion_periods, time_periods=time_periods) @@ -120,7 +130,7 @@ def tellegen_node_rule(model: EchoConcreteModel, p, t): setattr(model, con_name, en.Constraint(model.Expansion, model.Time, rule=tellegen_node_rule)) def verify_node(self): - super(TellegenNode, self).verify_node() + super().verify_node() validate( len(self.ports) >= 2, @@ -200,10 +210,10 @@ def add_node_to_model(self, model: EchoConcreteModel, profile): self.binary_variable_flow_through_mutually_exclusive_port_1, en.Var(model.Expansion, model.Time, initialize=0, domain=en.Binary), ) - super(ThreeWayValveNode, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) def apply_node_constraints(self, model: EchoConcreteModel): - super(ThreeWayValveNode, self).apply_node_constraints(model) + super().apply_node_constraints(model) self._apply_mutually_exclusive_port_flow_constraint(model) def _apply_mutually_exclusive_port_flow_constraint(self, model: EchoConcreteModel): @@ -351,14 +361,14 @@ class ControlledLoadOrGen(FlexPort): and the maximum energy that could be consumed/generated if the load operated at max power. """ - min_utilisation: Optional[float] = None - max_utilisation: Optional[float] = None - max_power: Optional[float] = None - min_power: Optional[float] = None + min_utilisation: float | None = None + max_utilisation: float | None = None + max_power: float | None = None + min_power: float | None = None units: Units = Units.KW def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): - super(ControlledLoadOrGen, self).add_port_to_model(model, profile) + super().add_port_to_model(model, profile) # Set bounds using min and max power set_float_var_bounds(model=model, var_name=self.port_name, ub=self.max_power, lb=self.min_power) @@ -437,7 +447,7 @@ def active(self): return "active_" + self.port_name def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): - super(OffOrConstrainedPort, self).add_port_to_model(model, profile) + super().add_port_to_model(model, profile) setattr(model, self.active, en.Var(model.Expansion, model.Time, initialize=0, domain=en.Binary)) # Apply constraints such that if active=1, the port is bounded, and if active=0, the port is 0. @@ -454,13 +464,13 @@ def on_off_constraint2(model: EchoConcreteModel, p, t): class BoundedPort(FlexPort): """A flex port with an upper and lower bound""" - upper_bound: Union[ArrayType, float] - lower_bound: Union[ArrayType, float] + upper_bound: ArrayType | float + lower_bound: ArrayType | float bound_check = root_validator(allow_reuse=True)(check_bound_order) # check lower bound < upper bound def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): - super(BoundedPort, self).add_port_to_model(model, profile) + super().add_port_to_model(model, profile) # Set bounds on our port variable ub_dict = generate_array_constraint(self.upper_bound, time_periods=len(model.Time), expansion_periods=1) lb_dict = generate_array_constraint(self.lower_bound, time_periods=len(model.Time), expansion_periods=1) @@ -477,7 +487,7 @@ class BoundedLoad(BoundedPort): lower_bound_check = validator("lower_bound", allow_reuse=True)(nonnegative_costs) def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): - super(BoundedLoad, self).add_port_to_model(model, profile) + super().add_port_to_model(model, profile) class Storage(Port): @@ -495,9 +505,9 @@ class Storage(Port): charging_efficiency: float = 1 discharging_efficiency: float = 1 fixed_storage_capacity: bool = True - storage_capacity_cost: Optional[PositiveFloat] + storage_capacity_cost: PositiveFloat | None regularise: bool = False - initial_state_of_charge: Optional[float] + initial_state_of_charge: float | None dod_check = root_validator(allow_reuse=True)(dod_checks) @@ -519,7 +529,7 @@ def __init__(self, **data): self.export_constraint_value = self.discharging_power_limit def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): - super(Storage, self).add_port_to_model(model, profile) + super().add_port_to_model(model, profile) self.create_storage_variables(model) self.apply_soc_constraints(model) @@ -597,7 +607,7 @@ def SOC_rule_perfect_efficiency(model: EchoConcreteModel, p, t): setattr(model, self.soc_constraint, en.Constraint(model.Expansion, model.Time, rule=SOC_rule)) def add_objective(self, model: EchoConcreteModel): - super(Storage, self).add_objective(model) + super().add_objective(model) total = 0 # To get unique solution @@ -625,10 +635,10 @@ class MobileStorage(Storage): enable_trip_slack: bool = False # next three variables are for having a 'conservative' ev user lower bound on the soc while it is plugged in # soc_conserv: Union[ArrayType,list,float, None, dict] = None - soc_conserv: Optional[TimeExpandableType] = None - soc_conserv_cost: Union[float, None] = None + soc_conserv: TimeExpandableType | None = None + soc_conserv_cost: float | None = None # soc_conserve: scalarOrArray - available: Union[ArrayType, list, None] = None + available: ArrayType | list | None = None @property def cons_slack(self): @@ -750,7 +760,7 @@ def SOC_rule_perfect_efficiency_slack(model: EchoConcreteModel, p, t): setattr(model, self.soc_constraint, en.Constraint(model.Expansion, model.Time, rule=SOC_rule_slack)) def add_objective(self, model: EchoConcreteModel): - super(MobileStorage, self).add_objective(model) + super().add_objective(model) total = 0 if self.enable_trip_slack: @@ -780,10 +790,10 @@ class InputOutputNode(Node): input_port_unit: Units output_port_unit: Units # Optional parameters for controlling input/output port flows - max_output: Optional[float] # output might be neg or pos, leave it open - min_output: Optional[float] - max_input: Optional[float] - min_input: Optional[float] + max_output: float | None # output might be neg or pos, leave it open + min_output: float | None + max_input: float | None + min_input: float | None input_port_ref: str = "input" output_port_ref: str = "output" @@ -802,14 +812,10 @@ class TimeVaryingPiecewiseIONode(InputOutputNode): Attributes input_port_unit and output_port_unit define node's commodity. """ - input_points: Optional[dict] # dict where the keys are planning-time period tuple, and value is input pt array - output_points: Optional[dict] # dict where the keys are planning-time period tuple, and value is output pt array - input_points_ref: Optional[ - str - ] # Ref to profile dataframe column with input points array to be used across all times - output_points_ref: Optional[ - str - ] # Ref to profile dataframe column with input points array to be used across all times + input_points: dict | None # dict where the keys are planning-time period tuple, and value is input pt array + output_points: dict | None # dict where the keys are planning-time period tuple, and value is output pt array + input_points_ref: str | None # Ref to profile dataframe column with input points array to be used across all times + output_points_ref: str | None # Ref to profile dataframe column with input points array to be used across all times piecewise_check = root_validator(allow_reuse=True)(validate_piecewise_arrays) # validate input/output points populate_bounds = root_validator(allow_reuse=True)( @@ -851,7 +857,7 @@ def load_input_output_values_from_profile(self, model: EchoConcreteModel, profil def add_node_to_model(self, model: EchoConcreteModel, profile): self.load_input_output_values_from_profile(model, profile) - super(TimeVaryingPiecewiseIONode, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) # Bound input and output port variables, otherwise piecewise constraint will fail self.verify_points_values() set_float_var_bounds( @@ -884,14 +890,14 @@ def apply_node_constraints(self, model: EchoConcreteModel): ) def add_constant_input_points( - self, input_points: Union[float, int, list], time_periods: int, expansion_periods: int = 1 + self, input_points: float | int | list, time_periods: int, expansion_periods: int = 1 ): """Tiles constant input points array across time and expansion periods""" self.input_points = populate_values_across_time_and_expansion_indices( input_points, time_periods, expansion_periods ) - def add_constant_output_points(self, output_points: Union[float, int, list], time_periods, expansion_periods=1): + def add_constant_output_points(self, output_points: float | int | list, time_periods, expansion_periods=1): """Tiles constant output points array across time and expansion periods.""" self.output_points = populate_values_across_time_and_expansion_indices( output_points, time_periods, expansion_periods @@ -939,7 +945,7 @@ def total(self): return "total_value_" + self.node_name def verify_node(self): - super(AggregationNode, self).verify_node() + super().verify_node() def add_port(self, name: str, port=FlexSink()): if self.ports.get(name) is None: @@ -955,7 +961,7 @@ def add_port(self, name: str, port=FlexSink()): raise ConfigurationError(f"Port with name {name} is already defined on node {self.node_name}") def add_node_to_model(self, model: EchoConcreteModel, profile): - super(AggregationNode, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) # Create a variable for the total value setattr(model, self.total, en.Var(model.Expansion, model.Time, initialize=0, domain=en.Reals)) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 5f4da64..4d6fc81 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -1,7 +1,8 @@ import copy import warnings +from collections.abc import Iterable from dataclasses import dataclass -from typing import Any, Iterable, Optional, Type, Union, cast +from typing import Any, Union, cast import networkx as nx import pandas as pd @@ -10,16 +11,20 @@ from pydantic import BaseModel as PydanticBaseModel from pydantic import Field, validator -from echo.configuration import (FlowConstraint, Flows, OptimisationType, - TransformRule, Units) -from echo.constants import (negative_variable_component, - positive_variable_component) +from echo.configuration import FlowConstraint, Flows, OptimisationType, TransformRule, Units +from echo.constants import negative_variable_component, positive_variable_component from echo.exceptions import ConfigurationError, validate from echo.models.scenario import EchoConcreteModel -from echo.utils import (TimeExpandableType, TimeSeriesData, domain_from_flow, - expand_as_array, expand_as_dict, - generate_array_constraint, set_var_bounds_from_dict, - to_initial_values) +from echo.utils import ( + TimeExpandableType, + TimeSeriesData, + domain_from_flow, + expand_as_array, + expand_as_dict, + generate_array_constraint, + set_var_bounds_from_dict, + to_initial_values, +) from echo.validators import ArrayType, export_cons_check, import_cons_check @@ -41,20 +46,20 @@ class Port(BaseModel): units: Units = Units.NA # Used to ensure that common units are being optimised over at points of interconnection initial_value: dict = 0 - initial_value_ref: Optional[str] # string ref to df column - initial_value_scaling: Optional[int] # scaling factor for initial values + initial_value_ref: str | None # string ref to df column + initial_value_scaling: int | None # scaling factor for initial values flow_type: OptimisationType = OptimisationType.NA - uid: Optional[str] = Field(default_factory=shortuuid.uuid) + uid: str | None = Field(default_factory=shortuuid.uuid) port_name: str = "" flows: Flows = Flows.NA # What flow directions are possible (import, export, both) # Used to define the nature of import / export directions and constraints import_constraint: FlowConstraint = FlowConstraint.NA - import_constraint_value: Optional[ConstraintValueType] = None + import_constraint_value: ConstraintValueType | None = None export_constraint: FlowConstraint = FlowConstraint.NA - export_constraint_value: Optional[ConstraintValueType] = None - active_periods: Optional[dict[tuple[int, int], Any]] = None + export_constraint_value: ConstraintValueType | None = None + active_periods: dict[tuple[int, int], Any] | None = None slack: bool = False - objective: Union[float, en.numeric_expr.NumericExpression] = 0 # this will eventually be a pyomo expression + objective: float | en.numeric_expr.NumericExpression = 0 # this will eventually be a pyomo expression # Validators for import/export constraint values import_con_sign = validator("import_constraint_value", allow_reuse=True)(import_cons_check) @@ -103,9 +108,9 @@ def __init__(self, **data): def set_flow_constraints( self, - max_import: Optional[ConstraintValueType], - max_export: Optional[ConstraintValueType], - slack: Optional[bool] = False, + max_import: ConstraintValueType | None, + max_export: ConstraintValueType | None, + slack: bool | None = False, ): """Sets the values of port flow constraints. @@ -129,7 +134,7 @@ def process_initial_value( self, initial_val, expansion_periods: int = 1, - time_periods: Optional[int] = None, + time_periods: int | None = None, ): if isinstance(initial_val, dict): self.set_initial_value(initial_val) @@ -443,7 +448,7 @@ def set_initial_value_from_array( self, array: TimeExpandableType, expansion_periods: int = 1, - time_periods: Optional[int] = None, + time_periods: int | None = None, ): """Sets initial port value which is used to initialise the pyomo var/param @@ -463,7 +468,7 @@ def set_initial_value_from_array( ) self.set_initial_value_from_timeseriesdata(time_series_data=time_series_data) - def set_active_periods_from_array(self, array: Any, expansion_periods: int = 1, time_periods: Optional[int] = None): + def set_active_periods_from_array(self, array: Any, expansion_periods: int = 1, time_periods: int | None = None): """Sets port active periods Args: array: array, list of active periods as bool values @@ -545,7 +550,7 @@ class Node(BaseModel): node_name: str = "" uid: str = Field(default_factory=shortuuid.uuid) ports: dict[str, Port] = {} - objective: Union[float, en.numeric_expr.NumericExpression] = 0 # For adding any node objectives + objective: float | en.numeric_expr.NumericExpression = 0 # For adding any node objectives @property def inflow(self): @@ -562,7 +567,7 @@ def add_port(self, name: str, port: Port): else: raise ConfigurationError(f"Port with name {name} is already defined on node {self.node_name}") - def add_ports_from_list(self, names: Iterable[str], port_type: Type[Port], **kwargs): + def add_ports_from_list(self, names: Iterable[str], port_type: type[Port], **kwargs): """Creates a set of ports (using port_type) and adds them to this Node. The ports will be constructed using port_type and the supplied kwargs""" for name in names: @@ -632,7 +637,7 @@ def add_emission_transformation(self, emitting_port: Port, carbon_port: Port, em self.add_transformation(t) def verify_node(self): - super(TransformNode, self).verify_node() + super().verify_node() if not self.transformations: raise ConfigurationError("Node has Transform rule but Transformation object(s) has not been added to node.") @@ -677,10 +682,10 @@ class Edge(BaseModel): """ uid: str = Field(default_factory=shortuuid.uuid) - edge_name: Optional[str] = None + edge_name: str | None = None vertices: tuple[Port, Port] - nodes: Optional[tuple[str, str]] # tuple of node names - todo make this required - tariff: Optional[Union[list, None]] + nodes: tuple[str, str] | None # tuple of node names - todo make this required + tariff: list | None | None def __init__(self, **data): super().__init__(**data) @@ -748,16 +753,16 @@ class Path(BaseModel): edge_ports: list[tuple[Port, Port]] = [] # list of edge name tuples vertices: list # list of node names uid: str = Field(default_factory=shortuuid.uuid) - path_name: Optional[str] = None + path_name: str | None = None units = Units.KW regularise: bool = False - objective: Union[float, en.numeric_expr.NumericExpression] = 0 + objective: float | en.numeric_expr.NumericExpression = 0 flow_value: str = "" - contingency_neg: Optional[str] - contingency_pos: Optional[str] - path_tariff: Optional[str] - slack: Optional[str] + contingency_neg: str | None + contingency_pos: str | None + path_tariff: str | None + slack: str | None def __init__(self, **data): super().__init__(**data) @@ -818,7 +823,7 @@ def convert_to_nx(self) -> nx.Graph: def _add_single_node(self, node_obj: Node): validate( node_obj.node_name not in self.node_obj, - "Node '{}' already defined".format(node_obj.node_name), + f"Node '{node_obj.node_name}' already defined", ) self.node_obj[node_obj.node_name] = node_obj @@ -834,7 +839,7 @@ def delete_edge(self, edge_nodes: tuple[str, str]): else: print(f"Edge {edge_nodes} not found.") - def add_node_obj(self, node: Union[list, Node]): + def add_node_obj(self, node: list | Node): """Adds either a single node or list of nodes to graph""" # todo phase out this method if isinstance(node, list): @@ -866,7 +871,7 @@ def get_edge(self, nodes: tuple[str, str], warn: bool = False): if edge is not None: return edge elif warn: - print("Edge between {} and {} does not exist".format(nodes[0], nodes[1])) + print(f"Edge between {nodes[0]} and {nodes[1]} does not exist") def _add_single_edge(self, edge_obj: Edge): port1 = edge_obj.vertices[0] @@ -888,7 +893,7 @@ def _add_single_edge(self, edge_obj: Edge): self.edge_obj[(node1_name, node2_name)] = edge_obj - def add_edge_obj(self, edge: Union[list[Edge], Edge]): + def add_edge_obj(self, edge: list[Edge] | Edge): # todo phase out this method if isinstance(edge, list): for e in edge: @@ -907,8 +912,8 @@ def connect_ports_and_create_edge( self, port1: Port, port2: Port, - edge_name: Optional[str] = None, - nodes: Optional[tuple[str]] = None, + edge_name: str | None = None, + nodes: tuple[str] | None = None, warn: bool = False, ): """Creates an edge between port1 and port2 and adds it to the graph""" @@ -954,7 +959,7 @@ def lookup_node_names_from_port(self, port: Port) -> str: return node_name raise ConfigurationError(f"Port {port.port_name} is not part of any node, or node has not been added to graph.") - def get_ports_on_edge_from_nodes(self, node1: str, node2: str) -> Optional[tuple[Port, Port]]: + def get_ports_on_edge_from_nodes(self, node1: str, node2: str) -> tuple[Port, Port] | None: """Returns the ports that are on the edge from node1 to node2.""" connecting_edge = self.edge_obj.get((node1, node2)) if connecting_edge: @@ -982,7 +987,7 @@ def get_sources_and_sinks(self): sources_or_sinks.add(path.vertices[-1]) return sources_or_sinks - def get_path(self, path_vertices: Union[list[Node], list[str]]): + def get_path(self, path_vertices: list[Node] | list[str]): """Looks up a path using a list of path vertices (nodes, or node names).""" if isinstance(path_vertices[0], Node): name_key = [cast(Node, node).node_name for node in path_vertices] @@ -1005,8 +1010,8 @@ def verify_paths(self): def create_path_objects( self, - sources: Union[list[Node], list[str]], - sinks: Union[list[Node], list[str]], + sources: list[Node] | list[str], + sinks: list[Node] | list[str], path_unit: Units = Units.KW, regularise: bool = False, ): @@ -1206,7 +1211,7 @@ def split_graph_on_edge(self, node1: str, node2: str): if system.has_edge(node1, node2): system.remove_edge(node1, node2) else: - raise ValueError('No edge exists between nodes "{}" and "{}"'.format(node1, node2)) + raise ValueError(f'No edge exists between nodes "{node1}" and "{node2}"') # Get a list of the two sets of nodes y = nx.connected_components(system) @@ -1274,10 +1279,10 @@ def update_node(self, node_name: str, **kwargs): def inject_data_into_ev( self, node_name: str, - available: Optional[Union[ArrayType, list, str]] = None, - usage: Optional[Union[ArrayType, list, str]] = None, - initial_state_of_charge: Optional[float] = None, - interval_duration: Optional[int] = None, + available: ArrayType | list | str | None = None, + usage: ArrayType | list | str | None = None, + initial_state_of_charge: float | None = None, + interval_duration: int | None = None, ): """Injects stateful data into an EV node in an OptimisationGraph. diff --git a/src/echo/models/carbon.py b/src/echo/models/carbon.py index d2e96d1..d846283 100644 --- a/src/echo/models/carbon.py +++ b/src/echo/models/carbon.py @@ -32,10 +32,10 @@ def total(self): return "total_CO2_" + self.node_name def verify_node(self): - super(CarbonAggregation, self).verify_node() + super().verify_node() def add_node_to_model(self, model: EchoConcreteModel, profile): - super(CarbonAggregation, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) # Create a variable for the total CO2 setattr(model, self.total, en.Var(model.Expansion, model.Time, initialize=0, domain=en.Reals)) diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index 1959a1f..17f31ad 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -1,4 +1,4 @@ -from typing import Dict, Optional, Tuple, Union, cast +from typing import cast from warnings import warn import numpy as np @@ -8,17 +8,21 @@ from deprecated import deprecated from pydantic import Field, NonNegativeFloat -from echo.configuration import (EVChargeMode, EVChargeStatus, FlowConstraint, - Flows, OptimisationType, TransformRule, Units) +from echo.configuration import ( + EVChargeMode, + EVChargeStatus, + FlowConstraint, + Flows, + OptimisationType, + TransformRule, + Units, +) from echo.exceptions import ConfigurationError, validate -from echo.models.agnostic import (BoundedLoad, Demand, FixedPort, FlexPort, - MobileStorage, Source, Storage) +from echo.models.agnostic import BoundedLoad, Demand, FixedPort, FlexPort, MobileStorage, Source, Storage from echo.models.base import Node, Transform, TransformNode, TransformTerm from echo.models.scenario import EchoConcreteModel -from echo.utils import (TimeExpandableType, fix_port_variable, - set_var_bounds_from_dict) -from echo.validators import (ArrayType, - check_initial_state_of_charge_within_bounds) +from echo.utils import TimeExpandableType, fix_port_variable, set_var_bounds_from_dict +from echo.validators import ArrayType, check_initial_state_of_charge_within_bounds class ElectricalDemand(Demand): @@ -40,7 +44,7 @@ def add_generation_profile_from_array( self, generation: ArrayType, expansion_periods: int = 1, - time_periods: Optional[int] = None, + time_periods: int | None = None, ): self.set_initial_value_from_array(generation, expansion_periods=expansion_periods, time_periods=time_periods) @@ -49,7 +53,7 @@ def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): # Handle that here before calling `add_port_to_model` self.flow_type = OptimisationType.Variable if self.curtailable else OptimisationType.Parameter - super(ElectricalGeneration, self).add_port_to_model(model, profile) + super().add_port_to_model(model, profile) if self.curtailable: # Constrain solar gen to be within initial value (max value) @@ -128,7 +132,7 @@ class EVBase(TransformNode): however if None, it will be set to discharging_power_limit. """ - charge_mode: Optional[EVChargeMode] = None + charge_mode: EVChargeMode | None = None connection_port_name: str = "cp" # Battery attributes @@ -152,8 +156,8 @@ class EVBase(TransformNode): usage: ArrayType | list | None = None # Helpful mappings for port names and uids - port_dict_name_to_port_name_map: Dict[str, str] | None = None - port_dict_name_to_port_uid_map: Dict[str, str] | None = None + port_dict_name_to_port_name_map: dict[str, str] | None = None + port_dict_name_to_port_uid_map: dict[str, str] | None = None def __init__(self, **data) -> None: super().__init__(**data) @@ -331,7 +335,7 @@ def verify_node(self) -> None: None """ - super(EVBase, self).verify_node() + super().verify_node() # Check node properties self._check_stateful_attrs_are_not_none() @@ -522,7 +526,7 @@ def _process_v0g_charging(self, interval_duration: float) -> None: # Set nodes V0G_trip_infeasibility self.V0G_trip_infeasibility = trip_infeasibility - def _v0g_charging(self, interval_duration: float, force_conv: bool = False) -> Tuple[bool, float, float, float]: + def _v0g_charging(self, interval_duration: float, force_conv: bool = False) -> tuple[bool, float, float, float]: """Convert V0G vehicle (convenience charging) to a soc profile and a power profile if possible. Args: @@ -654,8 +658,8 @@ def __init__(self, **data) -> None: def set_stateful_attrs( self, - available: Union[ArrayType, list, str], - usage: Union[ArrayType, list, str], + available: ArrayType | list | str, + usage: ArrayType | list | str, initial_state_of_charge: float, interval_duration: int, ) -> None: @@ -730,8 +734,8 @@ def __init__(self, **data) -> None: def set_stateful_attrs( self, - available: Union[ArrayType, list, str], - usage: Union[ArrayType, list, str], + available: ArrayType | list | str, + usage: ArrayType | list | str, initial_state_of_charge: float, interval_duration: int, ) -> None: @@ -790,8 +794,8 @@ class EVWithProfile(Node): """ charge_mode: EVChargeMode = EVChargeMode.DemandProfile - port_name: Optional[str] = "demand" - port_uid: Optional[str] = Field(default_factory=shortuuid.uuid) + port_name: str | None = "demand" + port_uid: str | None = Field(default_factory=shortuuid.uuid) charging_power_limit: NonNegativeFloat | None # Stateful attributes @@ -814,7 +818,7 @@ def __init__(self, **data) -> None: if self.set_stateful_attrs_at_init: self.set_stateful_attrs(demand=self.demand) - def set_stateful_attrs(self, demand: Union[dict, ArrayType, list]) -> None: + def set_stateful_attrs(self, demand: dict | ArrayType | list) -> None: """Injects attributes with state into EV node and ports. Args: @@ -905,11 +909,11 @@ def _verify_ports(self) -> None: reason="Supeseded by EVV0G, EVV1G, EVV2G, EVWithProfile and EVBase classes", ) class EV(TransformNode): - charge_mode: Optional[EVChargeMode] = None - available: Union[ArrayType, list, str] - usage: Union[ArrayType, list] + charge_mode: EVChargeMode | None = None + available: ArrayType | list | str + usage: ArrayType | list connection_port_name: str = "cp" - tod_charging: Union[ArrayType, list, str, None] = None + tod_charging: ArrayType | list | str | None = None interval_duration: int # Battery attributes max_capacity: float @@ -923,16 +927,16 @@ class EV(TransformNode): # next variable is for allowing soc to go below min so as to avoid optimisation failing if there infeasible ev trips trip_slack: bool = False # todo call this 'enable_trip_slack' so we can give it straight to port # next three variables are for having a 'conservative' ev user lower bound on the soc while it is plugged in - soc_conserv: Optional[TimeExpandableType] = None - soc_conserv_cost: Union[float, None] = None + soc_conserv: TimeExpandableType | None = None + soc_conserv_cost: float | None = None - V0G_delta: Optional[Union[ArrayType, list]] - V0G_SOC: Optional[Union[ArrayType, list]] - V0G_trip_infeasibility: Optional[Union[ArrayType, list]] - charge_status: Optional[EVChargeStatus] + V0G_delta: ArrayType | list | None + V0G_SOC: ArrayType | list | None + V0G_trip_infeasibility: ArrayType | list | None + charge_status: EVChargeStatus | None - port_dict_name_to_port_uid_map: Optional[Dict[str, str]] = None - port_dict_name_to_port_name_map: Optional[Dict[str, str]] = None + port_dict_name_to_port_uid_map: dict[str, str] | None = None + port_dict_name_to_port_name_map: dict[str, str] | None = None def __init__(self, **data) -> None: super().__init__(**data) @@ -944,9 +948,7 @@ def __init__(self, **data) -> None: for i in self.usage: if i > self.discharging_power_limit * -1: raise ValueError( - "Usage requirement of {} exceeds battery discharge limit of {}.".format( - i, self.discharging_power_limit - ) + f"Usage requirement of {i} exceeds battery discharge limit of {self.discharging_power_limit}." ) # Initialise port_name_to_port_uid_map @@ -1025,10 +1027,10 @@ def __init__(self, **data) -> None: def update( self, - available: Optional[Union[ArrayType, list, str]] = None, - usage: Optional[Union[ArrayType, list, str]] = None, - initial_state_of_charge: Optional[float] = None, - interval_duration: Optional[int] = None, + available: ArrayType | list | str | None = None, + usage: ArrayType | list | str | None = None, + initial_state_of_charge: float | None = None, + interval_duration: int | None = None, ): self.__init__( node_name=self.node_name, @@ -1119,7 +1121,7 @@ def V0G_charging(self, interval_duration: float, force_conv=False): return success, soc[1:], delta, trip_infeasibility def verify_node(self): - super(EV, self).verify_node() + super().verify_node() if self.charge_mode == EVChargeMode.V0G: validate( self.ports[self.connection_port_name].initial_value != 0, @@ -1136,7 +1138,7 @@ def verify_node(self): ) def add_node_to_model(self, model: EchoConcreteModel, profile): - super(EV, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) if self.charge_mode == EVChargeMode.V0G: # Fix the battery state of charge, the slack variable, and battery charging/discharging vehicle = cast(MobileElectricalStorage, self.ports["vehicle"]) @@ -1175,11 +1177,11 @@ class Inverter(Node): of specifying uids for the ports then use the `add_ac_port` and `add_dc_ports` remembering to supply `uid` values. """ - max_import: Optional[float] - max_export: Optional[float] + max_import: float | None + max_export: float | None dc_ac_efficiency: float = Field(default=1.0, ge=0, le=1) ac_dc_efficiency: float = Field(default=1.0, ge=0, le=1) - ac_port_name: Optional[str] = None + ac_port_name: str | None = None dc_port_names: list[str] = Field(default_factory=list) def __init__( @@ -1192,20 +1194,20 @@ def __init__( for port_name in self.dc_port_names: self._add_port(port_name=port_name) - def _add_port(self, port_name: str, uid: Union[str, None] = None): + def _add_port(self, port_name: str, uid: str | None = None): p = ElectricalPort(port_name=port_name, uid=uid) self.ports[port_name] = p - def _add_ac_port(self, port_name: str, uid: Union[str, None] = None): + def _add_ac_port(self, port_name: str, uid: str | None = None): p = ElectricalPort(port_name=port_name, uid=uid) p.set_flow_constraints(max_export=self.max_export, max_import=self.max_import) self.ports[port_name] = p - def add_dc_port(self, port_name: str, uid: Union[str, None] = None): + def add_dc_port(self, port_name: str, uid: str | None = None): self.dc_port_names.append(port_name) self._add_port(port_name=port_name, uid=uid) - def add_ac_port(self, port_name: str, uid: Union[str, None] = None): + def add_ac_port(self, port_name: str, uid: str | None = None): self.ac_port_name = port_name self._add_ac_port(port_name=self.ac_port_name, uid=uid) @@ -1222,7 +1224,7 @@ def verify_node(self): ) def add_node_to_model(self, model: EchoConcreteModel, profile): - super(Inverter, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) ac_port = self.ports[self.ac_port_name] # Split ac port into pos/neg, so we can apply the correct efficiencies diff --git a/src/echo/models/gas.py b/src/echo/models/gas.py index f1c3509..9036002 100644 --- a/src/echo/models/gas.py +++ b/src/echo/models/gas.py @@ -1,15 +1,15 @@ -from typing import Optional import pyomo.environ as en from pydantic import NonNegativeFloat, root_validator from echo.configuration import Units -from echo.models.agnostic import (FixedPort, FlexPort, InputOutputNode, - OffOrConstrainedPort) +from echo.models.agnostic import FixedPort, FlexPort, InputOutputNode, OffOrConstrainedPort from echo.models.scenario import EchoConcreteModel from echo.validators import ( - ArrayType, set_output_bounds_from_input_bounds_and_cop_and_startup_cop, - validate_startup_efficiency) + ArrayType, + set_output_bounds_from_input_bounds_and_cop_and_startup_cop, + validate_startup_efficiency, +) class FlexGasPort(FlexPort): @@ -54,7 +54,7 @@ def set_ports(self, gas_input_port: OffOrConstrainedPort, thermal_output_port: F self.ports[self.output_port_ref] = thermal_output_port def apply_node_constraints(self, model: EchoConcreteModel): - super(GasBoilerFixedCOP, self).apply_node_constraints(model) + super().apply_node_constraints(model) def node_constraint(model: EchoConcreteModel, p, t): p_in = getattr(model, self.ports[self.input_port_ref].port_name) @@ -90,10 +90,10 @@ class TempControlledBoiler(InputOutputNode): return_temp_bounds: tuple = (50, 80) deg_to_kw: float # factor for converting a temperature difference to kW required to achieve that delta T cop: float # coefficient of performance - determines how much of the input energy is delivered as heating energy - startup_cop: Optional[float] + startup_cop: float | None # pyomo vars - is_on: Optional[str] + is_on: str | None return_t: str = "" exit_t: str = "" @@ -113,7 +113,7 @@ def __init__(self, **data): self.exit_t = "outlet_temp_" + self.node_name def add_node_to_model(self, model: EchoConcreteModel, profile): - super(TempControlledBoiler, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) # Define exit and return temperature variables and bound these appropriately setattr( model, diff --git a/src/echo/models/prebuilt.py b/src/echo/models/prebuilt.py index 5b888de..f85f382 100644 --- a/src/echo/models/prebuilt.py +++ b/src/echo/models/prebuilt.py @@ -1,11 +1,9 @@ -from typing import Optional, Union import pyomo.environ as en from pydantic import NonNegativeFloat, PositiveFloat from echo.configuration import Units -from echo.models.agnostic import (Demand, FlexPort, FlexSink, InputOutputNode, - OffOrConstrainedPort) +from echo.models.agnostic import Demand, FlexPort, FlexSink, InputOutputNode, OffOrConstrainedPort from echo.models.base import Node, TransformNode from echo.models.carbon import CarbonSource from echo.models.electrical import ElectricalGeneration, ElectricalStorage @@ -21,7 +19,7 @@ def __init__( initial_state_of_charge: float, charging_power_limit: float, discharging_power_limit: float, - storage_capacity_cost: Optional[PositiveFloat] = None, + storage_capacity_cost: PositiveFloat | None = None, charging_efficiency: float = 1, discharging_efficiency: float = 1, depth_of_discharge_limit: float = 0, @@ -45,7 +43,7 @@ def __init__( class Solar(Node): - def __init__(self, port_name: str, profile: Union[ArrayType, dict], curtailable: bool = False, **data): + def __init__(self, port_name: str, profile: ArrayType | dict, curtailable: bool = False, **data): super().__init__(**data) self.ports[port_name] = ElectricalGeneration(curtailable=curtailable) if type(profile) is dict: @@ -65,7 +63,7 @@ def __init__(self, port_name: str, solar_size: float, initial_value_ref: str, cu class Load(Node): - def __init__(self, port_name: str, port_unit: Units, profile: Union[dict, ArrayType, list], **data): + def __init__(self, port_name: str, port_unit: Units, profile: dict | ArrayType | list, **data): super().__init__(**data) self.ports[port_name] = Demand(units=port_unit) if type(profile) is dict: @@ -92,7 +90,7 @@ def __init__( emitting_port: str, emitting_port_units: Units, carbon_port: str, - emissions_factor: Union[float, ArrayType], + emissions_factor: float | ArrayType, **data, ): super().__init__(**data) @@ -131,7 +129,7 @@ def __init__(self, **data) -> None: # todo: add some validators :-) def apply_node_constraints(self, model: EchoConcreteModel): - super(DieselGenerator, self).apply_node_constraints(model) + super().apply_node_constraints(model) def node_constraint(model: EchoConcreteModel, p, t): p_in = getattr(model, self.ports["input"].port_name) diff --git a/src/echo/models/scenario.py b/src/echo/models/scenario.py index 99eef9d..e39743c 100644 --- a/src/echo/models/scenario.py +++ b/src/echo/models/scenario.py @@ -1,6 +1,5 @@ import os from dataclasses import dataclass -from typing import Optional from pyomo.environ import ConcreteModel, Param, RangeSet @@ -47,7 +46,7 @@ class EchoConcreteModel(ConcreteModel): scenario_settings: ScenarioSettings -def engine_settings_from_environment(optimiser_engine: Optional[str] = None) -> EngineSettings: +def engine_settings_from_environment(optimiser_engine: str | None = None) -> EngineSettings: """Configure the optimiser through setting appropriate environmental variables.""" if not optimiser_engine: diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index f52c00b..1603512 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -1,21 +1,22 @@ -from typing import Optional import pandas as pd import pyomo.environ as en -from pydantic import (NegativeFloat, NonNegativeFloat, PositiveFloat, - root_validator, validator) +from pydantic import NegativeFloat, NonNegativeFloat, PositiveFloat, root_validator, validator from scipy import interpolate from echo.configuration import FlowConstraint, Units -from echo.models.agnostic import (FlexPort, FlexSink, FlexSource, - TimeVaryingPiecewiseIONode) +from echo.models.agnostic import FlexPort, FlexSink, FlexSource, TimeVaryingPiecewiseIONode from echo.models.base import Node from echo.models.scenario import EchoConcreteModel -from echo.utils import (TimeSeriesData, clamp, expand_as_dict, - set_float_var_bounds, set_var_bounds_from_dict, - to_initial_values) -from echo.validators import (non_negative_cop_check, validate_partial_load_cop, - validate_temperature_dependent_cop) +from echo.utils import ( + TimeSeriesData, + clamp, + expand_as_dict, + set_float_var_bounds, + set_var_bounds_from_dict, + to_initial_values, +) +from echo.validators import non_negative_cop_check, validate_partial_load_cop, validate_temperature_dependent_cop class SimpleChiller(Node): @@ -29,9 +30,9 @@ class SimpleChiller(Node): max_cooling_capacity: PositiveFloat = None # Max cooling load that can be serviced in KWT # (if None, bounded by bigM value) - cooling_cop_time_series: Optional[dict] # Formatted dict of cooling COPs (coefficients of performance) - cooling_cop_time_series_ref: Optional[str] - cooling_cop_constant: Optional[PositiveFloat] = 1 # Constant COP value to use across all optimisation intervals + cooling_cop_time_series: dict | None # Formatted dict of cooling COPs (coefficients of performance) + cooling_cop_time_series_ref: str | None + cooling_cop_constant: PositiveFloat | None = 1 # Constant COP value to use across all optimisation intervals cooling_cop_check = validator("cooling_cop_time_series", allow_reuse=True)(non_negative_cop_check) @@ -79,7 +80,7 @@ def cooling_cop(self): def add_node_to_model(self, model: EchoConcreteModel, profile): # Load coefficient of performance values from profile (if provided by reference) self._load_cop_values_from_profile(model, profile) - super(SimpleChiller, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) setattr( model, self.cooling_cop, @@ -209,7 +210,7 @@ def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): self._define_temperature_dependent_cop_coefficient(model) self._set_input_points(model) self._set_output_points(model) - super(ParameterisedChiller, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) if self.heat_rejection_port_ref in self.ports: self._add_heat_rejection_constraint(model) @@ -217,7 +218,7 @@ def set_ports( self, electrical_input_port: FlexSink, cooling_output_port: FlexPort, - heat_rejection_port: Optional[FlexPort] = None, + heat_rejection_port: FlexPort | None = None, ): # Discard existing ports self.ports.clear() @@ -364,7 +365,7 @@ def __init__(self, **data): self.gains = "gains_" + self.node_name def add_node_to_model(self, model: EchoConcreteModel, profile): - super(ThermalNode, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) self.create_and_bound_temp_vars(model) self.loss_and_gain_constraints_and_variables(model) self.apply_energy_balance_constraint(model) @@ -452,7 +453,7 @@ class ThermalStorage(Node): None # Maximum energy flow out of the storage at each interval, in energy_flow_units ) ambient_temp: dict = None # Ambient temp, formatted as dict with expansion-time keys - ambient_temp_ref: Optional[str] # Ambient temp by column name reference in profile dataframe + ambient_temp_ref: str | None # Ambient temp by column name reference in profile dataframe ins_transmittance: NonNegativeFloat = ( 0 # Thermal transmittance U-value of Thermal Energy Storage insulation in W/sqm*C ) @@ -593,7 +594,7 @@ def max_heat_storage_capacity(self): return self.lump_capacitance * (self.max_temp - self.min_temp) * self.energy_units_conversion def add_node_to_model(self, model: EchoConcreteModel, profile): - super(ThermalStorage, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) self._load_values_from_profile(model, profile) self._create_and_bound_temp_variable(model) self._create_soc_variable(model) @@ -755,15 +756,15 @@ class SimpleHeatPump(Node): max_heating_capacity: PositiveFloat = ( None # Max heating load that can be serviced in KWT (if None, bounded by bigM value) ) - heating_cop_time_series: Optional[dict] # Formatted dict of heating COPs (coefficients of performance) + heating_cop_time_series: dict | None # Formatted dict of heating COPs (coefficients of performance) # per time period - cooling_cop_time_series: Optional[dict] # Formatted dict of cooling COPs (coefficients of performance) + cooling_cop_time_series: dict | None # Formatted dict of cooling COPs (coefficients of performance) # per time period - heating_cop_time_series_ref: Optional[str] - cooling_cop_time_series_ref: Optional[str] + heating_cop_time_series_ref: str | None + cooling_cop_time_series_ref: str | None - cooling_cop_constant: Optional[PositiveFloat] = 1 # Constant COP value to use across all optimisation intervals - heating_cop_constant: Optional[PositiveFloat] = 1 # Constant COP value to use across all optimisation intervals + cooling_cop_constant: PositiveFloat | None = 1 # Constant COP value to use across all optimisation intervals + heating_cop_constant: PositiveFloat | None = 1 # Constant COP value to use across all optimisation intervals heating_cop_check = validator("heating_cop_time_series", allow_reuse=True)(non_negative_cop_check) cooling_cop_check = validator("cooling_cop_time_series", allow_reuse=True)(non_negative_cop_check) @@ -878,7 +879,7 @@ def _set_helper_variables(self, model: EchoConcreteModel): def add_node_to_model(self, model: EchoConcreteModel, profile): # Load coefficient of performance values from profile (if be set ref) self._load_cop_values_from_profile(model, profile) - super(SimpleHeatPump, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) self._set_ports_var_bounds(model) self._set_helper_variables(model) @@ -1078,7 +1079,7 @@ def _create_heat_recovery_vars(self, model: EchoConcreteModel): def add_node_to_model(self, model: EchoConcreteModel, profile): # Use parent class method - super(SimpleHeatPumpDualOutput, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) self._create_heat_recovery_vars(model) self._create_delta_heat_flow_vars(model) @@ -1298,7 +1299,7 @@ def set_ports( self, electrical_input_port: FlexSink, thermal_output_port: FlexPort, - heat_intake_rejection_port: Optional[FlexPort] = None, + heat_intake_rejection_port: FlexPort | None = None, ): # Discard existing ports self.ports.clear() @@ -1320,7 +1321,7 @@ def set_ports( def add_node_to_model(self, model: EchoConcreteModel, profile): """Set up variables and parameters associated with the node""" - super(ParameterisedHeatPump, self).add_node_to_model(model, profile) + super().add_node_to_model(model, profile) self._set_helper_variables(model) self._load_temperature_values_from_profile(model, profile) self._define_temperature_dependent_cop_coefficient(model) diff --git a/src/echo/objectives/base.py b/src/echo/objectives/base.py index 6b224fe..9d4a5e0 100644 --- a/src/echo/objectives/base.py +++ b/src/echo/objectives/base.py @@ -1,5 +1,4 @@ import uuid -from typing import Optional, Union import pandas as pd import pyomo.environ as en @@ -11,7 +10,7 @@ class Objective(EchoBaseModel): - component: Union[Port, Path, None] + component: Port | Path | None uid: uuid.UUID = Field(default_factory=uuid.uuid4) name: str = "" weight: float = 1 @@ -21,10 +20,10 @@ def __init__(self, **data): if not self.name: self.name = "obj_" + str(self.uid) - def verify_objective(self, model: EchoConcreteModel, df: Optional[pd.DataFrame]): + def verify_objective(self, model: EchoConcreteModel, df: pd.DataFrame | None): pass - def create_params(self, model: EchoConcreteModel, df: Optional[pd.DataFrame]): + def create_params(self, model: EchoConcreteModel, df: pd.DataFrame | None): pass def create_vars(self, model: EchoConcreteModel): @@ -46,7 +45,7 @@ class ObjectiveSet(EchoBaseModel): objective_list: list[Objective] - def add_objectives_to_model(self, model: EchoConcreteModel, df: Optional[pd.DataFrame] = None): + def add_objectives_to_model(self, model: EchoConcreteModel, df: pd.DataFrame | None = None): for obj in self.objective_list: obj.verify_objective(model, df) obj.create_params(model, df) diff --git a/src/echo/objectives/power.py b/src/echo/objectives/power.py index e3c1e72..7157c15 100644 --- a/src/echo/objectives/power.py +++ b/src/echo/objectives/power.py @@ -1,4 +1,3 @@ -from typing import Optional import pyomo.environ as en from pydantic import PositiveFloat @@ -90,7 +89,7 @@ class NotFullyChargedPenalty(Objective): """A penalty objective for penalising a storage asset for not being fulling charged.""" component: Storage - rate: Optional[PositiveFloat] + rate: PositiveFloat | None rate_array: list def apply_constraints(self, model: EchoConcreteModel): diff --git a/src/echo/objectives/tariff.py b/src/echo/objectives/tariff.py index ab0d175..177f90b 100644 --- a/src/echo/objectives/tariff.py +++ b/src/echo/objectives/tariff.py @@ -1,13 +1,11 @@ from datetime import time from enum import Enum -from typing import List, Optional, Union import numpy as np import pandas as pd import pyomo.environ as en import shortuuid -from pydantic import (Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, - PositiveInt, root_validator, validator) +from pydantic import Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, PositiveInt, root_validator, validator from echo.exceptions import validate from echo.models.base import BaseModel as EchoBaseModel @@ -18,8 +16,8 @@ class Tariff(Objective): - tariff_array: Union[ArrayType, list] # tariff array prices should always be positive - expansion_periods: Optional[PositiveInt] = 1 + tariff_array: ArrayType | list # tariff array prices should always be positive + expansion_periods: PositiveInt | None = 1 @staticmethod def return_tariff_dict(array, expansion_periods): @@ -33,7 +31,7 @@ class ImportTariff(Tariff): """The ImportTariff objective applies a price per kWh of energy imported at a defined port.""" component: Port - import_tariff_dict: Optional[dict] + import_tariff_dict: dict | None @property def import_tariff(self): @@ -71,7 +69,7 @@ class ExportTariff(Tariff): to the negative (exporting) component of the specified port.""" component: Port - export_tariff_dict: Optional[dict] + export_tariff_dict: dict | None @property def export_tariff(self): @@ -221,7 +219,7 @@ class PathTariff(Tariff): """The PathTariff objective applies a cost per kW of power flow on a specified path.""" component: Path - path_tariff_dict: Optional[dict] + path_tariff_dict: dict | None @property def path_tariff(self): @@ -365,7 +363,7 @@ class Window(EchoBaseModel): """Class for specifying window over which a tariff is calculated using datetimes""" time_periods: list[TimePeriod] - reset_periods: Optional[ResetPeriod] = None + reset_periods: ResetPeriod | None = None @validator("time_periods") def non_overlapping_periods(cls, v): @@ -451,8 +449,8 @@ class DemandCharge(EchoBaseModel): name: str rate: NonNegativeFloat min_demand: float = 0.0 - window_array: Union[ArrayType, List] - reset_periods: Union[ArrayType, List] + window_array: ArrayType | list + reset_periods: ArrayType | list import_demand: bool = False export_demand: bool = False @@ -474,9 +472,7 @@ def check_reset_periods(cls, values): if rp is not None: validate( sum(rp) == len(window_array), - "Sum of reset period lengths ({}) is not equal to window array length ({}).".format( - sum(rp), len(window_array) - ), + f"Sum of reset period lengths ({sum(rp)}) is not equal to window array length ({len(window_array)}).", ) values["num_reset_periods"] = len(rp) else: @@ -489,11 +485,9 @@ def check_reset_periods(cls, values): def check_import_or_export(cls, values): validate( values.get("import_demand") is True or values.get("export_demand") is True, - str( - "Please use ImportDemandCharge or ExportDemandCharge classes, or alternatively," + ("Please use ImportDemandCharge or ExportDemandCharge classes, or alternatively," " set DemandCharge.import_demand or DemandCharge.export_demand as True before adding " - "the demand charge to the demand tariff objective." - ), + "the demand charge to the demand tariff objective."), ) return values @@ -575,8 +569,8 @@ class DemandTariffObjective(Objective): """A demand tariff objective contains a set of one or more demand charges.""" component: Port - demand_charges: List[DemandCharge] - expansion_periods: Optional[PositiveInt] = 1 + demand_charges: list[DemandCharge] + expansion_periods: PositiveInt | None = 1 def verify_objective(self, model: EchoConcreteModel, df): def verify_non_overlapping(): diff --git a/src/echo/optimiser.py b/src/echo/optimiser.py index fd31990..72f0b98 100644 --- a/src/echo/optimiser.py +++ b/src/echo/optimiser.py @@ -1,18 +1,16 @@ import warnings +from collections.abc import Collection from contextlib import contextmanager, redirect_stdout from dataclasses import dataclass -from typing import Collection, Optional, Union import numpy as np import pandas as pd import pyomo.environ as en -from pyomo.opt import (SolverFactory, SolverResults, SolverStatus, - TerminationCondition) +from pyomo.opt import SolverFactory, SolverResults, SolverStatus, TerminationCondition from echo.exceptions import ConfigurationError, OptimiserResultError, validate from echo.models.base import Node, OptimisationGraph, Port -from echo.models.scenario import (EchoConcreteModel, EngineSettings, - ScenarioSettings) +from echo.models.scenario import EchoConcreteModel, EngineSettings, ScenarioSettings from echo.objectives.base import Objective, ObjectiveSet # The default set of termination conditions that pyomo can return and echo will report as a success @@ -29,7 +27,7 @@ @contextmanager -def logged_stdout(logfile: Optional[str], mode: str = "w"): +def logged_stdout(logfile: str | None, mode: str = "w"): """Context manager that while held open will redirect all stdout to logfile. If the logfile is None then no redirection will occur""" if logfile is None: @@ -49,7 +47,7 @@ class OptimisationResult: scenario_settings: ScenarioSettings objective: en.numeric_expr.NumericExpression model: EchoConcreteModel - objective_set: Optional[ObjectiveSet] + objective_set: ObjectiveSet | None graph: OptimisationGraph opt_status: SolverStatus termination_condition: TerminationCondition @@ -168,7 +166,7 @@ def validate_network_graph(graph: OptimisationGraph): for node_name, node_obj in graph.node_obj.items(): validate( node_obj.node_name == node_name, - "Node {} name has been updated after being added to the network graph.".format(node_name), + f"Node {node_name} name has been updated after being added to the network graph.", ) graph.verify_graph() @@ -179,8 +177,8 @@ def build_model_and_objective( scenario_settings: ScenarioSettings, smallM: float, bigM: int, - profile: Optional[pd.DataFrame], - objective_set: Optional[ObjectiveSet], + profile: pd.DataFrame | None, + objective_set: ObjectiveSet | None, ) -> tuple[EchoConcreteModel, en.numeric_expr.NumericExpression]: """Builds an EchoConcreteModel for a particular Echo Scenario definition and a related objective to optimise against the model""" @@ -195,7 +193,7 @@ def _build_model( scenario_settings: ScenarioSettings, smallM: float, bigM: int, - profile: Optional[pd.DataFrame], + profile: pd.DataFrame | None, ): model = EchoConcreteModel() model.smallM = en.Param(initialize=smallM) @@ -244,10 +242,10 @@ def _build_model( def _build_objective( model: EchoConcreteModel, graph: OptimisationGraph, - profile: Optional[pd.DataFrame], - objective_set: Optional[ObjectiveSet], + profile: pd.DataFrame | None, + objective_set: ObjectiveSet | None, ): - objective: Union[float, en.numeric_expr.NumericExpression] = 0 + objective: float | en.numeric_expr.NumericExpression = 0 # Add objectives defined in the objective set if objective_set is not None: @@ -272,11 +270,11 @@ def optimise( scenario_settings: ScenarioSettings, engine_settings: EngineSettings, graph: OptimisationGraph, - objective_set: Optional[ObjectiveSet] = None, - profile: Optional[pd.DataFrame] = None, + objective_set: ObjectiveSet | None = None, + profile: pd.DataFrame | None = None, verbose: bool = False, show_solver_output: bool = False, - logfile: Optional[str] = None, + logfile: str | None = None, time_limit: int = None, acceptable_conditions: Collection[TerminationCondition] = DEFAULT_ACCEPTABLE_TERMINATION_CONDITIONS, ) -> OptimisationResult: diff --git a/src/echo/utils.py b/src/echo/utils.py index 25b373f..94034b4 100644 --- a/src/echo/utils.py +++ b/src/echo/utils.py @@ -1,5 +1,5 @@ from dataclasses import dataclass -from typing import Optional, Union +from typing import Union import numpy as np import numpy.typing as npt @@ -88,7 +88,7 @@ class TimeSeriesData: num_expansion_intervals: int -def expand_as_dict(data: TimeSeriesData) -> dict[tuple[int, int], Union[int, float]]: +def expand_as_dict(data: TimeSeriesData) -> dict[tuple[int, int], int | float]: """Converts a TimeSeriesData object to a dictionary of time-series values keyed by the expansion and time intervals. Calls `expand_as_array` internally to produce enough values for the time and expansion intervals. @@ -177,7 +177,7 @@ def expand_as_array(data: TimeSeriesData) -> npt.NDArray: ) -def set_float_var_bounds(model: EchoConcreteModel, var_name: str, ub: Optional[float], lb: Optional[float]) -> None: +def set_float_var_bounds(model: EchoConcreteModel, var_name: str, ub: float | None, lb: float | None) -> None: """ Updates the bounds on a pyomo variable. Only floats can be used as bounds. Args: @@ -195,7 +195,7 @@ def set_float_var_bounds(model: EchoConcreteModel, var_name: str, ub: Optional[f var.setub(ub) -def set_var_bounds_from_dict(model: EchoConcreteModel, var_name: str, ub: Optional[dict], lb: Optional[dict]) -> None: +def set_var_bounds_from_dict(model: EchoConcreteModel, var_name: str, ub: dict | None, lb: dict | None) -> None: """ Updates the bounds on a pyomo variable using an array of floats. Args: @@ -411,7 +411,7 @@ def to_initial_values(profile: pd.DataFrame, key: str, time_periods: int, expans def to_initial_values_for_array( - values: np.array, time_periods: Optional[int] = None, expansion_periods: int = 1, scaling: int = 1 + values: np.array, time_periods: int | None = None, expansion_periods: int = 1, scaling: int = 1 ): if values is None or values.size == 0: raise ValueError("No values defined.") @@ -444,12 +444,12 @@ def generate_dict_with_pyomo_keys_from_array(array, time_periods: int, expansion if (len(array) != time_periods) or (len(array) != time_periods * expansion_periods): raise ValueError("Array constraint length is not consistent with combination of time/expansion periods.") if len(array) == time_periods: - print("Repeating array across {} expansion period(s).".format(expansion_periods)) + print(f"Repeating array across {expansion_periods} expansion period(s).") for p in range(expansion_periods): for t in range(time_periods): d[(p, t)] = array[t] elif len(array) == time_periods * expansion_periods: - print("Dividing array between {} expansion period(s).".format(expansion_periods)) + print(f"Dividing array between {expansion_periods} expansion period(s).") i = 0 for p in range(expansion_periods): for t in range(time_periods): diff --git a/src/echo/validators.py b/src/echo/validators.py index 81644dd..4933c86 100644 --- a/src/echo/validators.py +++ b/src/echo/validators.py @@ -121,9 +121,7 @@ def check_initial_state_of_charge_within_bounds( # Check initial soc is within bounds if (initial_state_of_charge < min_soc) or (initial_state_of_charge > max_capacity): raise ValueError( - "Initial state of charge, {}, must be between min soc, {}, and max capacity, {}".format( - initial_state_of_charge, min_soc, max_capacity - ) + f"Initial state of charge, {initial_state_of_charge}, must be between min soc, {min_soc}, and max capacity, {max_capacity}" ) @@ -170,7 +168,7 @@ def validate_piecewise_arrays(cls, values): for k, _ in input_points.items(): validate( len(input_points[k]) == len(output_points[k]), - "Input and output arrays are not equal lengths for index {}".format(k), + f"Input and output arrays are not equal lengths for index {k}", ) return values diff --git a/tests/test_agnostic_integration.py b/tests/test_agnostic_integration.py index 3d8665f..a2e3ef7 100644 --- a/tests/test_agnostic_integration.py +++ b/tests/test_agnostic_integration.py @@ -3,11 +3,9 @@ import pandas as pd from echo.configuration import Units -from echo.models.agnostic import (FlexPort, - PartitionedMultiCommodityTellegenNode, Sink) +from echo.models.agnostic import FlexPort, PartitionedMultiCommodityTellegenNode, Sink from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.optimiser import optimise NUMBER_INTERVALS = 10 diff --git a/tests/test_agnostic_models.py b/tests/test_agnostic_models.py index 0ceddfe..d02f3b5 100644 --- a/tests/test_agnostic_models.py +++ b/tests/test_agnostic_models.py @@ -4,11 +4,8 @@ import pytest from echo.configuration import Units -from echo.models.agnostic import (FlexPort, - PartitionedMultiCommodityTellegenNode, - ThreeWayValveNode) -from echo.models.scenario import (EchoConcreteModel, ScenarioSettings, - engine_settings_from_environment) +from echo.models.agnostic import FlexPort, PartitionedMultiCommodityTellegenNode, ThreeWayValveNode +from echo.models.scenario import EchoConcreteModel, ScenarioSettings, engine_settings_from_environment def empty_model(): diff --git a/tests/test_asset_types.py b/tests/test_asset_types.py index 0171e39..cd84aa8 100644 --- a/tests/test_asset_types.py +++ b/tests/test_asset_types.py @@ -4,11 +4,9 @@ from echo.models.agnostic import FlexPort, Sink, TellegenNode from echo.models.base import Node, OptimisationGraph, TransformNode from echo.models.carbon import CarbonAggregation, CarbonSink, CarbonSource -from echo.models.electrical import (ElectricalDemand, ElectricalPort, - ElectricalStorage) +from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage from echo.models.gas import FlexGasPort, GasBoilerFixedCOP -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise @@ -144,7 +142,7 @@ def test_carbon_aggregation(): import_tariff = ImportTariff( component=site1.ports["cp"], - tariff_array=np.array(([0.1] * 24 + [0.3] * 24)), + tariff_array=np.array([0.1] * 24 + [0.3] * 24), expansion_periods=expansion_periods, ) diff --git a/tests/test_base.py b/tests/test_base.py index e924638..4279235 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -1,15 +1,12 @@ -from __future__ import division import pytest from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (EVV0G, EVV1G, EVV2G, ElectricalGeneration, - Inverter) +from echo.models.electrical import EVV0G, EVV1G, EVV2G, ElectricalGeneration, Inverter from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_contingency_capacity.py b/tests/test_contingency_capacity.py index 3c3a5a0..c3d49ff 100644 --- a/tests/test_contingency_capacity.py +++ b/tests/test_contingency_capacity.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.contingency import ContingencyNegative from echo.optimiser import optimise diff --git a/tests/test_contingency_positive_capacity.py b/tests/test_contingency_positive_capacity.py index afb18ca..460d9ba 100644 --- a/tests/test_contingency_positive_capacity.py +++ b/tests/test_contingency_positive_capacity.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.contingency import ContingencyPositive from echo.optimiser import optimise diff --git a/tests/test_electrical.py b/tests/test_electrical.py index 31eafd9..60a94b1 100644 --- a/tests/test_electrical.py +++ b/tests/test_electrical.py @@ -1,12 +1,10 @@ -from __future__ import division from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration, Inverter from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_evs.py b/tests/test_evs.py index 51fb7be..5cba706 100644 --- a/tests/test_evs.py +++ b/tests/test_evs.py @@ -1,6 +1,4 @@ -from __future__ import division -from typing import List, Tuple import numpy as np import pytest @@ -9,12 +7,18 @@ from echo.exceptions import ConfigurationError from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (EVV0G, EVV1G, EVV2G, ElectricalDemand, - ElectricalGeneration, ElectricalPort, - EVWithProfile, Inverter) +from echo.models.electrical import ( + EVV0G, + EVV1G, + EVV2G, + ElectricalDemand, + ElectricalGeneration, + ElectricalPort, + EVWithProfile, + Inverter, +) from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff, ThroughputCost from echo.optimiser import optimise @@ -218,7 +222,7 @@ def test_v0g_with_stateful_data_injection(): """ # Available and usage combinations that work - good_available_usages: List[Tuple[np.array, np.array]] = [ + good_available_usages: list[tuple[np.array, np.array]] = [ (np.array([1, 1, 1, 1, 1, 1]), np.array([0, 0, 0, 0, 0, 0])), (np.array([0, 0, 0, 0, 0, 0]), np.array([1, 1, 1, 1, 1, 1])), (np.array([0, 0, 0, 0, 0, 0]), np.array([0, 0, 0, 0, 0, 0])), @@ -1457,7 +1461,7 @@ def test_simple_v1g_with_stateful_data_injection_2(): """Ensure stateful data injection behaves appropriately for EVV1G with different parameters.""" # Available and usage combinations that work - good_available_usages: List[Tuple[np.array, np.array]] = [ + good_available_usages: list[tuple[np.array, np.array]] = [ (np.array([1, 1, 1, 1, 1, 1]), np.array([0, 0, 0, 0, 0, 0])), (np.array([0, 0, 0, 0, 0, 0]), np.array([1, 1, 1, 1, 1, 1])), (np.array([0, 0, 0, 0, 0, 0]), np.array([0, 0, 0, 0, 0, 0])), @@ -1465,7 +1469,7 @@ def test_simple_v1g_with_stateful_data_injection_2(): (np.array([1, 1, 0, 0, 1, 0]), np.array([0, 0, 25, 20, 0, 10])), ] - good_socs: List[np.array] = [ + good_socs: list[np.array] = [ np.array([50, 50, 50, 50, 50, 50]), np.array([49, 48, 47, 46, 45, 44]), np.array([50, 50, 50, 50, 50, 50]), @@ -1585,7 +1589,7 @@ def test_simple_v1g_with_stateful_data_injection_2(): def test_simple_v0g_with_stateful_data_injection_for_invalid_input_detection(): """Inject bad stateful data which should be detected and an error raised.""" - bad_available_usages: List[Tuple[list, list]] = [ + bad_available_usages: list[tuple[list, list]] = [ ([1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1]), ([0, 0, 1, 1, 0, 0], [0, 0, 1, 1, 0, 0]), ([1, 1, 0, 0, 1, 1], [0, 0, 40, 40, 0, 0]), diff --git a/tests/test_hybrid_inverter_behaviour.py b/tests/test_hybrid_inverter_behaviour.py index 2454888..fbe79af 100644 --- a/tests/test_hybrid_inverter_behaviour.py +++ b/tests/test_hybrid_inverter_behaviour.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_inverter_efficiency_behaviour.py b/tests/test_inverter_efficiency_behaviour.py index 0e8b6d5..29ef06a 100644 --- a/tests/test_inverter_efficiency_behaviour.py +++ b/tests/test_inverter_efficiency_behaviour.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_load_control_schemes.py b/tests/test_load_control_schemes.py index 226a8a7..93a3dd8 100644 --- a/tests/test_load_control_schemes.py +++ b/tests/test_load_control_schemes.py @@ -2,12 +2,9 @@ from echo.configuration import TransformRule, Units from echo.models.agnostic import FlexPort, TellegenNode, TimeDelayNode -from echo.models.base import (Node, OptimisationGraph, Transform, - TransformNode, TransformTerm) -from echo.models.electrical import (BoundedElectricalLoad, ElectricalDemand, - ElectricalPort) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.base import Node, OptimisationGraph, Transform, TransformNode, TransformTerm +from echo.models.electrical import BoundedElectricalLoad, ElectricalDemand, ElectricalPort +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_new_demand_tariffs.py b/tests/test_new_demand_tariffs.py index d6cbabc..d8b5dd9 100644 --- a/tests/test_new_demand_tariffs.py +++ b/tests/test_new_demand_tariffs.py @@ -4,11 +4,9 @@ from echo.models.agnostic import FlexPort from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalDemand, ElectricalGeneration -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (DemandTariffObjective, ExportDemandCharge, - ImportDemandCharge) +from echo.objectives.tariff import DemandTariffObjective, ExportDemandCharge, ImportDemandCharge from echo.optimiser import optimise diff --git a/tests/test_objective_functions.py b/tests/test_objective_functions.py index f39a581..20e438a 100644 --- a/tests/test_objective_functions.py +++ b/tests/test_objective_functions.py @@ -1,16 +1,11 @@ -from __future__ import division from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (DemandTariffObjective, ExportTariff, - ImportDemandCharge, ImportTariff, - ThroughputCost) +from echo.objectives.tariff import DemandTariffObjective, ExportTariff, ImportDemandCharge, ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/tests/test_path_tracing.py b/tests/test_path_tracing.py index 12f460f..7f0fde4 100644 --- a/tests/test_path_tracing.py +++ b/tests/test_path_tracing.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.optimiser import optimise diff --git a/tests/test_peak_power_objective.py b/tests/test_peak_power_objective.py index ae827ab..fff11e8 100644 --- a/tests/test_peak_power_objective.py +++ b/tests/test_peak_power_objective.py @@ -3,8 +3,7 @@ from echo.configuration import Units from echo.models.agnostic import ControlledLoad, FlexPort from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.power import QuadraticPower from echo.optimiser import optimise diff --git a/tests/test_peak_power_optimisation.py b/tests/test_peak_power_optimisation.py index bab8ce4..ff24452 100644 --- a/tests/test_peak_power_optimisation.py +++ b/tests/test_peak_power_optimisation.py @@ -1,10 +1,8 @@ from echo.configuration import OptimisationType, Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalPort, - ElectricalStorage) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakNegativePower, PeakPositivePower from echo.optimiser import optimise diff --git a/tests/test_simple_controlled_load.py b/tests/test_simple_controlled_load.py index 2816120..c42a54a 100644 --- a/tests/test_simple_controlled_load.py +++ b/tests/test_simple_controlled_load.py @@ -3,8 +3,7 @@ from echo.configuration import Units from echo.models.agnostic import ControlledLoad, FlexPort from echo.models.base import Edge, Node, OptimisationGraph -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalExportFlow, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_simple_solar_curtailment.py b/tests/test_simple_solar_curtailment.py index b85cc4a..9eda68f 100644 --- a/tests/test_simple_solar_curtailment.py +++ b/tests/test_simple_solar_curtailment.py @@ -4,8 +4,7 @@ from echo.models.agnostic import FlexPort, FlexSink, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalFlow, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_slack_variables.py b/tests/test_slack_variables.py index c7c52a9..701727c 100644 --- a/tests/test_slack_variables.py +++ b/tests/test_slack_variables.py @@ -4,8 +4,7 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_tariffs.py b/tests/test_tariffs.py index f796814..337edbe 100644 --- a/tests/test_tariffs.py +++ b/tests/test_tariffs.py @@ -9,15 +9,18 @@ from echo.configuration import FlowConstraint, Flows, Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalPort, - ElectricalStorage) +from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage from echo.models.prebuilt import FlexNode, Load -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (BlockImportTariff, DemandTariffObjective, - ImportDemandCharge, ImportTariff, - PathTariff, ThroughputCost) +from echo.objectives.tariff import ( + BlockImportTariff, + DemandTariffObjective, + ImportDemandCharge, + ImportTariff, + PathTariff, + ThroughputCost, +) from echo.optimiser import optimise diff --git a/tests/test_thermal_models.py b/tests/test_thermal_models.py index ea5fe36..9729e17 100644 --- a/tests/test_thermal_models.py +++ b/tests/test_thermal_models.py @@ -3,8 +3,7 @@ import pytest from echo.configuration import Units -from echo.models.thermal import (SimpleChiller, SimpleHeatPump, - SimpleHeatPumpDualOutput) +from echo.models.thermal import SimpleChiller, SimpleHeatPump, SimpleHeatPumpDualOutput from echo.utils import TimeSeriesData, expand_as_dict NUMBER_INTERVALS = 5 diff --git a/tests/test_thermal_models_optimisation.py b/tests/test_thermal_models_optimisation.py index 2fb8246..2824885 100644 --- a/tests/test_thermal_models_optimisation.py +++ b/tests/test_thermal_models_optimisation.py @@ -4,14 +4,17 @@ import pandas as pd from echo.configuration import FlowConstraint, Flows, OptimisationType, Units -from echo.models.agnostic import (AggregationNode, FlexPort, Sink, Source, - TellegenNode, ThreeWayValveNode) +from echo.models.agnostic import AggregationNode, FlexPort, Sink, Source, TellegenNode, ThreeWayValveNode from echo.models.base import Node, OptimisationGraph, Port -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) -from echo.models.thermal import (ParameterisedChiller, ParameterisedHeatPump, - SimpleChiller, SimpleHeatPump, - SimpleHeatPumpDualOutput, ThermalStorage) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.thermal import ( + ParameterisedChiller, + ParameterisedHeatPump, + SimpleChiller, + SimpleHeatPump, + SimpleHeatPumpDualOutput, + ThermalStorage, +) from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakPositivePower from echo.objectives.tariff import ThroughputCost diff --git a/tests/test_utils.py b/tests/test_utils.py index b457e26..7387533 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -1,8 +1,7 @@ import numpy as np import pytest -from echo.utils import (TimeSeriesData, UnexpandableTimeSeriesDataError, - expand_as_array, expand_as_dict) +from echo.utils import TimeSeriesData, UnexpandableTimeSeriesDataError, expand_as_array, expand_as_dict @pytest.mark.parametrize( From ae95efd336c781e89a246b90fd4c6d93f5a92949 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 13:27:35 +1000 Subject: [PATCH 16/44] Ran ruff format --- examples/demand_tariff_with_time_periods.py | 14 +++++++------- src/echo/models/agnostic.py | 1 - src/echo/models/gas.py | 1 - src/echo/models/prebuilt.py | 1 - src/echo/models/thermal.py | 1 - src/echo/objectives/power.py | 1 - src/echo/objectives/tariff.py | 6 ++++-- tests/test_base.py | 1 - tests/test_electrical.py | 1 - tests/test_evs.py | 2 -- tests/test_objective_functions.py | 1 - 11 files changed, 11 insertions(+), 19 deletions(-) diff --git a/examples/demand_tariff_with_time_periods.py b/examples/demand_tariff_with_time_periods.py index edf7692..116050e 100644 --- a/examples/demand_tariff_with_time_periods.py +++ b/examples/demand_tariff_with_time_periods.py @@ -9,13 +9,13 @@ from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ( - Day, - DemandTariffObjective, - ImportDemandCharge, - ResetPeriod, - ThroughputCost, - TimePeriod, - Window, + Day, + DemandTariffObjective, + ImportDemandCharge, + ResetPeriod, + ThroughputCost, + TimePeriod, + Window, ) from echo.optimiser import optimise diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index 4e32f7a..088ea8c 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -1,4 +1,3 @@ - import pandas as pd import pyomo.environ as en from pydantic import Field, PositiveFloat, root_validator, validator diff --git a/src/echo/models/gas.py b/src/echo/models/gas.py index 9036002..9e0acc0 100644 --- a/src/echo/models/gas.py +++ b/src/echo/models/gas.py @@ -1,4 +1,3 @@ - import pyomo.environ as en from pydantic import NonNegativeFloat, root_validator diff --git a/src/echo/models/prebuilt.py b/src/echo/models/prebuilt.py index f85f382..0245e37 100644 --- a/src/echo/models/prebuilt.py +++ b/src/echo/models/prebuilt.py @@ -1,4 +1,3 @@ - import pyomo.environ as en from pydantic import NonNegativeFloat, PositiveFloat diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index 1603512..947a8bc 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -1,4 +1,3 @@ - import pandas as pd import pyomo.environ as en from pydantic import NegativeFloat, NonNegativeFloat, PositiveFloat, root_validator, validator diff --git a/src/echo/objectives/power.py b/src/echo/objectives/power.py index 7157c15..b953c84 100644 --- a/src/echo/objectives/power.py +++ b/src/echo/objectives/power.py @@ -1,4 +1,3 @@ - import pyomo.environ as en from pydantic import PositiveFloat diff --git a/src/echo/objectives/tariff.py b/src/echo/objectives/tariff.py index 177f90b..4cb19ad 100644 --- a/src/echo/objectives/tariff.py +++ b/src/echo/objectives/tariff.py @@ -485,9 +485,11 @@ def check_reset_periods(cls, values): def check_import_or_export(cls, values): validate( values.get("import_demand") is True or values.get("export_demand") is True, - ("Please use ImportDemandCharge or ExportDemandCharge classes, or alternatively," + ( + "Please use ImportDemandCharge or ExportDemandCharge classes, or alternatively," " set DemandCharge.import_demand or DemandCharge.export_demand as True before adding " - "the demand charge to the demand tariff objective."), + "the demand charge to the demand tariff objective." + ), ) return values diff --git a/tests/test_base.py b/tests/test_base.py index 4279235..20ba40d 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -1,4 +1,3 @@ - import pytest from echo.configuration import Units diff --git a/tests/test_electrical.py b/tests/test_electrical.py index 60a94b1..1116b5d 100644 --- a/tests/test_electrical.py +++ b/tests/test_electrical.py @@ -1,4 +1,3 @@ - from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph diff --git a/tests/test_evs.py b/tests/test_evs.py index 5cba706..01217c9 100644 --- a/tests/test_evs.py +++ b/tests/test_evs.py @@ -1,5 +1,3 @@ - - import numpy as np import pytest diff --git a/tests/test_objective_functions.py b/tests/test_objective_functions.py index 20e438a..7f85c0e 100644 --- a/tests/test_objective_functions.py +++ b/tests/test_objective_functions.py @@ -1,4 +1,3 @@ - from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph From 7c66da53d9286600814da3f6ae720f7ee3d4e442 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 15:42:26 +1000 Subject: [PATCH 17/44] Updated Port.process_initial_values() and fixed typing. Updated typing on Port.initial_value. Introduced InitialValue type. Updated tests. --- src/echo/models/base.py | 26 +++++++++++++++++++------- tests/test_base.py | 14 ++++++-------- 2 files changed, 25 insertions(+), 15 deletions(-) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 4d6fc81..4e232e8 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -1,4 +1,5 @@ import copy +import time import warnings from collections.abc import Iterable from dataclasses import dataclass @@ -27,6 +28,8 @@ ) from echo.validators import ArrayType, export_cons_check, import_cons_check +InitialValue = dict[tuple[int, int], float] | list[int | float] + class BaseModel(PydanticBaseModel): """Create a modified base model with the config we want.""" @@ -45,7 +48,7 @@ class Port(BaseModel): # attribute_name: type = default_value units: Units = Units.NA # Used to ensure that common units are being optimised over at points of interconnection - initial_value: dict = 0 + initial_value: InitialValue | None = None initial_value_ref: str | None # string ref to df column initial_value_scaling: int | None # scaling factor for initial values flow_type: OptimisationType = OptimisationType.NA @@ -132,16 +135,25 @@ def set_flow_constraints( def process_initial_value( self, - initial_val, + initial_val: InitialValue, expansion_periods: int = 1, time_periods: int | None = None, - ): + ) -> None: if isinstance(initial_val, dict): self.set_initial_value(initial_val) + elif isinstance(initial_val, str): self.initial_value_ref = initial_val - elif hasattr(initial_val, "__iter__"): - self.set_initial_value_from_array(initial_val, expansion_periods, time_periods) + + elif isinstance(initial_val, list): + self.set_initial_value_from_array( + array=initial_val, + expansion_periods=expansion_periods, + time_periods=time_periods, + ) + + else: + raise TypeError(f"The initial_value for port: {self.port_name} is not of type dict, str or Iterable.") def verify_port(self): """Used to verify that a port has been set up appropriately""" @@ -446,10 +458,10 @@ def set_initial_value_from_timeseriesdata(self, time_series_data: TimeSeriesData def set_initial_value_from_array( self, - array: TimeExpandableType, + array: list[int | float], expansion_periods: int = 1, time_periods: int | None = None, - ): + ) -> None: """Sets initial port value which is used to initialise the pyomo var/param Args: diff --git a/tests/test_base.py b/tests/test_base.py index 20ba40d..c8b0ce1 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -47,10 +47,10 @@ def test_rebuild_all_edges(): """Tests the rebuild_all_edges function usage after stateful data has been injected.""" def assert_node_edge_port_values( - v0g_node_port_value: float, - v0g_edge_port_value: float, - v12g_node_value: float | None, - v12g_edge_value: float | None, + v0g_node_port_value: dict[tuple[int, int], float] | None, + v0g_edge_port_value: dict[tuple[int, int], float] | None, + v12g_node_value: dict[tuple[int, int], float] | None, + v12g_edge_value: dict[tuple[int, int], float] | None, ): # Assert that stateful attrs are blank if isinstance(ev, EVV0G): @@ -59,7 +59,6 @@ def assert_node_edge_port_values( # Assert ev port on the edge is blank for edge_name in system.edge_list(): - print(edge_name) if "ev" in edge_name: assert ev.ports["ev_to_cp"].initial_value == v0g_edge_port_value else: @@ -68,7 +67,6 @@ def assert_node_edge_port_values( # Assert ev port on the edge is blank for edge_name in system.edge_list(): - print(edge_name) if "ev" in edge_name: assert ev.ports["ev_to_cp"].active_periods == v12g_edge_value @@ -143,8 +141,8 @@ def assert_node_edge_port_values( pv.add_generation_profile_from_array(solar_data, expansion_periods) assert_node_edge_port_values( - v0g_node_port_value=0, - v0g_edge_port_value=0, + v0g_node_port_value=None, + v0g_edge_port_value=None, v12g_node_value=None, v12g_edge_value=None, ) From 89ae21cf2ba9cf67c465b211d8c6491b11b2ac95 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 15:46:14 +1000 Subject: [PATCH 18/44] Added more nuanced type check. Updated imports --- src/echo/models/base.py | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 4e232e8..215e978 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -1,9 +1,8 @@ import copy -import time import warnings from collections.abc import Iterable from dataclasses import dataclass -from typing import Any, Union, cast +from typing import Any, cast import networkx as nx import pandas as pd @@ -28,6 +27,8 @@ ) from echo.validators import ArrayType, export_cons_check, import_cons_check + +ConstraintValueType = ArrayType | float InitialValue = dict[tuple[int, int], float] | list[int | float] @@ -40,9 +41,6 @@ class Config: arbitrary_types_allowed = True -ConstraintValueType = Union[ArrayType, float] - - class Port(BaseModel): # Pydantic attribute declaration follows this format: # attribute_name: type = default_value @@ -152,8 +150,8 @@ def process_initial_value( time_periods=time_periods, ) - else: - raise TypeError(f"The initial_value for port: {self.port_name} is not of type dict, str or Iterable.") + elif not isinstance(initial_val, InitialValue): + raise TypeError(f"The initial_value for port: {self.port_name} is not of type InitialValue.") def verify_port(self): """Used to verify that a port has been set up appropriately""" From dd96de0a7d5f8d829b572ed396c71f7cbc5aa318 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 15:53:41 +1000 Subject: [PATCH 19/44] Updated check to ensure initial_value is None, not 0 --- tests/test_evs.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_evs.py b/tests/test_evs.py index 01217c9..438e510 100644 --- a/tests/test_evs.py +++ b/tests/test_evs.py @@ -3035,7 +3035,7 @@ def test_ev_demand_profile_set_stateful_attrs(): assert isinstance(ev.port_uid, str) # Inject some demand data into it - assert ev.ports["demand"].initial_value == 0 + assert ev.ports["demand"].initial_value is None ev.set_stateful_attrs(demand=[1, 2, 3, 4, 5]) assert isinstance(ev.ports["demand"].initial_value, dict) assert len(ev.ports["demand"].initial_value.keys()) == 5 From cc833f57f1d11a9a58e4e6470de647465bc394bb Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 15:54:53 +1000 Subject: [PATCH 20/44] Added type hints --- src/echo/models/gas.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/src/echo/models/gas.py b/src/echo/models/gas.py index 9e0acc0..5889c14 100644 --- a/src/echo/models/gas.py +++ b/src/echo/models/gas.py @@ -43,7 +43,7 @@ def __init__(self, **data) -> None: ) self.ports[self.output_port_ref] = FlexPort(units=self.output_port_unit) - def set_ports(self, gas_input_port: OffOrConstrainedPort, thermal_output_port: FlexPort): + def set_ports(self, gas_input_port: OffOrConstrainedPort, thermal_output_port: FlexPort) -> None: # Discard existing ports self.ports.clear() # Add the new ports @@ -52,7 +52,7 @@ def set_ports(self, gas_input_port: OffOrConstrainedPort, thermal_output_port: F self.ports[self.input_port_ref] = gas_input_port self.ports[self.output_port_ref] = thermal_output_port - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: super().apply_node_constraints(model) def node_constraint(model: EchoConcreteModel, p, t): @@ -99,7 +99,7 @@ class TempControlledBoiler(InputOutputNode): check_eta = root_validator(allow_reuse=True)(validate_startup_efficiency) set_output_bounds = root_validator(allow_reuse=True)(set_output_bounds_from_input_bounds_and_cop_and_startup_cop) - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) self.ports[self.input_port_ref] = OffOrConstrainedPort( units=self.input_port_unit, lower_bound=self.min_input, upper_bound=self.max_input @@ -111,7 +111,7 @@ def __init__(self, **data): self.return_t = "inlet_temp_" + self.node_name self.exit_t = "outlet_temp_" + self.node_name - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: super().add_node_to_model(model, profile) # Define exit and return temperature variables and bound these appropriately setattr( @@ -125,7 +125,7 @@ def add_node_to_model(self, model: EchoConcreteModel, profile): en.Var(model.Expansion, model.Time, initialize=0, bounds=self.exit_temp_bounds, domain=en.Reals), ) - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: # Retrieve some variables input_kw = getattr(model, self.ports[self.input_port_ref].port_name) output_kw = getattr(model, self.ports[self.output_port_ref].port_name) @@ -136,6 +136,10 @@ def constraint2(model: EchoConcreteModel, p, t): getattr(model, self.return_t)[p, t] - getattr(model, self.exit_t)[p, t] ) * self.deg_to_kw * self.cop == output_kw[p, t] + print(constraint2) + print() + print(type(constraint2)) + assert 1 == 2 setattr( model, "boiler_temp_con2_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=constraint2) ) From 56c7d946ba85f3c693d54927d227d9ce2fe7d837 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 15:57:10 +1000 Subject: [PATCH 21/44] Added defaults of None for Port.initial_value_ref and initial_scaling_ref --- src/echo/models/base.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 215e978..dd3936b 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -47,8 +47,8 @@ class Port(BaseModel): units: Units = Units.NA # Used to ensure that common units are being optimised over at points of interconnection initial_value: InitialValue | None = None - initial_value_ref: str | None # string ref to df column - initial_value_scaling: int | None # scaling factor for initial values + initial_value_ref: str | None = None # string ref to df column + initial_value_scaling: int | None = None # scaling factor for initial values flow_type: OptimisationType = OptimisationType.NA uid: str | None = Field(default_factory=shortuuid.uuid) port_name: str = "" From 865a6548d750e94751bd16a41677611c9d7c8639 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 15:57:56 +1000 Subject: [PATCH 22/44] Added basic gas port tests --- tests/test_gas.py | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) create mode 100644 tests/test_gas.py diff --git a/tests/test_gas.py b/tests/test_gas.py new file mode 100644 index 0000000..4c7c221 --- /dev/null +++ b/tests/test_gas.py @@ -0,0 +1,35 @@ +from pandas.io.pytables import Fixed +from echo.configuration import ( + FlowConstraint, + Flows, + OptimisationType, + Units, +) +from echo.models.gas import ( + FlexGasPort, + FixedGasPort, +) + + +def test_build_flex_gas_port(): + "Test FlexGasPort instantiation and defaults." + flex_gas_port = FlexGasPort(port_name="flexible_gas_port") + + assert flex_gas_port.port_name == "flexible_gas_port" + assert flex_gas_port.units == Units.JPS + assert flex_gas_port.flows == Flows.Both + assert flex_gas_port.import_constraint == FlowConstraint.NoConstraint + assert flex_gas_port.export_constraint == FlowConstraint.NoConstraint + assert flex_gas_port.flow_type == OptimisationType.Variable + + +def test_fixed_gas_port(): + """Test FixedGasPort instantiation and defaults.""" + + fixed_gas_port = FixedGasPort(port_name="fixed_gas_port") + + assert fixed_gas_port.units == Units.JPS + assert fixed_gas_port.flows == Flows.Both + assert fixed_gas_port.import_constraint == FlowConstraint.NoConstraint + assert fixed_gas_port.export_constraint == FlowConstraint.NoConstraint + assert fixed_gas_port.flow_type == OptimisationType.Parameter From c09ce4a4bccdac0b9cf26c3e2a7a69a151cbb5da Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 16:00:09 +1000 Subject: [PATCH 23/44] Ran isort --- docs/source/conf.py | 1 - examples/behind_the_meter_with_battery.py | 3 +- examples/demand_tariff.py | 6 +- examples/demand_tariff_with_time_periods.py | 15 ++-- examples/electric_vehicles.py | 3 +- examples/neighbourhood_battery.py | 6 +- ...ighbourhood_battery_with_aggregate_load.py | 3 +- examples/serialisable_graph.py | 3 +- examples/simple_behind_the_meter_network.py | 3 +- examples/simple_thermal_network.py | 3 +- examples/stand_alone_power_system.py | 6 +- examples/using_dataframes.py | 3 +- src/echo/models/agnostic.py | 31 +++----- src/echo/models/base.py | 21 +++--- src/echo/models/electrical.py | 70 ++++++++----------- src/echo/models/gas.py | 9 ++- src/echo/models/prebuilt.py | 3 +- src/echo/models/thermal.py | 20 +++--- src/echo/objectives/tariff.py | 3 +- src/echo/optimiser.py | 6 +- tests/test_agnostic_integration.py | 6 +- tests/test_agnostic_models.py | 7 +- tests/test_asset_types.py | 6 +- tests/test_base.py | 6 +- tests/test_contingency_capacity.py | 6 +- tests/test_contingency_positive_capacity.py | 6 +- tests/test_electrical.py | 3 +- tests/test_evs.py | 16 ++--- tests/test_gas.py | 13 +--- tests/test_hybrid_inverter_behaviour.py | 6 +- tests/test_inverter_efficiency_behaviour.py | 6 +- tests/test_load_control_schemes.py | 9 ++- tests/test_new_demand_tariffs.py | 6 +- tests/test_objective_functions.py | 10 ++- tests/test_path_tracing.py | 6 +- tests/test_peak_power_objective.py | 3 +- tests/test_peak_power_optimisation.py | 6 +- tests/test_simple_controlled_load.py | 3 +- tests/test_simple_solar_curtailment.py | 3 +- tests/test_slack_variables.py | 3 +- tests/test_tariffs.py | 17 ++--- tests/test_thermal_models.py | 3 +- tests/test_thermal_models_optimisation.py | 17 ++--- tests/test_utils.py | 3 +- 44 files changed, 195 insertions(+), 193 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 9a5a1a7..6969480 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -7,7 +7,6 @@ # -- Path setup -------------------------------------------------------------- import importlib.metadata - # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. diff --git a/examples/behind_the_meter_with_battery.py b/examples/behind_the_meter_with_battery.py index 5c9dded..dd462a9 100644 --- a/examples/behind_the_meter_with_battery.py +++ b/examples/behind_the_meter_with_battery.py @@ -10,7 +10,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) from echo.models.scenario import EngineSettings, ScenarioSettings from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakNegativePower diff --git a/examples/demand_tariff.py b/examples/demand_tariff.py index c25a2de..c4d8f07 100644 --- a/examples/demand_tariff.py +++ b/examples/demand_tariff.py @@ -8,9 +8,11 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import OptimisationGraph from echo.models.prebuilt import Battery, FlexNode, Load -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import DemandTariffObjective, ImportDemandCharge, ThroughputCost +from echo.objectives.tariff import (DemandTariffObjective, ImportDemandCharge, + ThroughputCost) from echo.optimiser import optimise SOLVER = os.environ.get("OPTIMISER_ENGINE", "cplex") diff --git a/examples/demand_tariff_with_time_periods.py b/examples/demand_tariff_with_time_periods.py index 116050e..bfbc75b 100644 --- a/examples/demand_tariff_with_time_periods.py +++ b/examples/demand_tariff_with_time_periods.py @@ -6,17 +6,12 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalDemand, ElectricalStorage -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import ( - Day, - DemandTariffObjective, - ImportDemandCharge, - ResetPeriod, - ThroughputCost, - TimePeriod, - Window, -) +from echo.objectives.tariff import (Day, DemandTariffObjective, + ImportDemandCharge, ResetPeriod, + ThroughputCost, TimePeriod, Window) from echo.optimiser import optimise expansion_periods = 1 diff --git a/examples/electric_vehicles.py b/examples/electric_vehicles.py index acf4657..f555156 100644 --- a/examples/electric_vehicles.py +++ b/examples/electric_vehicles.py @@ -13,7 +13,8 @@ from echo.models.base import OptimisationGraph from echo.models.electrical import EVV0G, EVV1G, EVV2G, EVWithProfile from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/neighbourhood_battery.py b/examples/neighbourhood_battery.py index 218c786..d631a95 100644 --- a/examples/neighbourhood_battery.py +++ b/examples/neighbourhood_battery.py @@ -7,8 +7,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import PathTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/neighbourhood_battery_with_aggregate_load.py b/examples/neighbourhood_battery_with_aggregate_load.py index f30e504..40fc799 100644 --- a/examples/neighbourhood_battery_with_aggregate_load.py +++ b/examples/neighbourhood_battery_with_aggregate_load.py @@ -8,7 +8,8 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalStorage, FixedElectricalPort -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import PathTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/serialisable_graph.py b/examples/serialisable_graph.py index b9ad312..8dc2f09 100644 --- a/examples/serialisable_graph.py +++ b/examples/serialisable_graph.py @@ -8,7 +8,8 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalStorage, FixedElectricalPort -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ThroughputCost from echo.optimiser import optimise diff --git a/examples/simple_behind_the_meter_network.py b/examples/simple_behind_the_meter_network.py index b13044f..6b327b4 100644 --- a/examples/simple_behind_the_meter_network.py +++ b/examples/simple_behind_the_meter_network.py @@ -1,7 +1,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) """ A behind-the-meter battery network diff --git a/examples/simple_thermal_network.py b/examples/simple_thermal_network.py index 28b083c..970ea5b 100644 --- a/examples/simple_thermal_network.py +++ b/examples/simple_thermal_network.py @@ -4,7 +4,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, Sink, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.models.thermal import ThermalStorage from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakPositivePower diff --git a/examples/stand_alone_power_system.py b/examples/stand_alone_power_system.py index 9d5ad52..787b32f 100644 --- a/examples/stand_alone_power_system.py +++ b/examples/stand_alone_power_system.py @@ -7,9 +7,11 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) from echo.models.prebuilt import DieselGenerator -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/examples/using_dataframes.py b/examples/using_dataframes.py index 7af63e3..ccb7566 100644 --- a/examples/using_dataframes.py +++ b/examples/using_dataframes.py @@ -4,7 +4,8 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration, FixedElectricalPort -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.optimiser import optimise time_periods = 48 diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index 088ea8c..6b5ced6 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -6,27 +6,16 @@ from echo.exceptions import ConfigurationError, validate from echo.models.base import Node, Port from echo.models.scenario import EchoConcreteModel -from echo.utils import ( - TimeExpandableType, - TimeSeriesData, - expand_as_array, - generate_array_constraint, - populate_values_across_time_and_expansion_indices, - set_float_var_bounds, - set_var_bounds_from_dict, -) -from echo.validators import ( - ArrayType, - check_bound_order, - dod_checks, - node_unit_validator, - nonnegative_costs, - nonnegative_load, - nonpositive_generation, - set_bounds_from_piecewise_points, - validate_partition_ports, - validate_piecewise_arrays, -) +from echo.utils import (TimeExpandableType, TimeSeriesData, expand_as_array, + generate_array_constraint, + populate_values_across_time_and_expansion_indices, + set_float_var_bounds, set_var_bounds_from_dict) +from echo.validators import (ArrayType, check_bound_order, dod_checks, + node_unit_validator, nonnegative_costs, + nonnegative_load, nonpositive_generation, + set_bounds_from_piecewise_points, + validate_partition_ports, + validate_piecewise_arrays) """ diff --git a/src/echo/models/base.py b/src/echo/models/base.py index dd3936b..8d844ea 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -11,23 +11,18 @@ from pydantic import BaseModel as PydanticBaseModel from pydantic import Field, validator -from echo.configuration import FlowConstraint, Flows, OptimisationType, TransformRule, Units -from echo.constants import negative_variable_component, positive_variable_component +from echo.configuration import (FlowConstraint, Flows, OptimisationType, + TransformRule, Units) +from echo.constants import (negative_variable_component, + positive_variable_component) from echo.exceptions import ConfigurationError, validate from echo.models.scenario import EchoConcreteModel -from echo.utils import ( - TimeExpandableType, - TimeSeriesData, - domain_from_flow, - expand_as_array, - expand_as_dict, - generate_array_constraint, - set_var_bounds_from_dict, - to_initial_values, -) +from echo.utils import (TimeExpandableType, TimeSeriesData, domain_from_flow, + expand_as_array, expand_as_dict, + generate_array_constraint, set_var_bounds_from_dict, + to_initial_values) from echo.validators import ArrayType, export_cons_check, import_cons_check - ConstraintValueType = ArrayType | float InitialValue = dict[tuple[int, int], float] | list[int | float] diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index 17f31ad..0d2c96b 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -8,21 +8,17 @@ from deprecated import deprecated from pydantic import Field, NonNegativeFloat -from echo.configuration import ( - EVChargeMode, - EVChargeStatus, - FlowConstraint, - Flows, - OptimisationType, - TransformRule, - Units, -) +from echo.configuration import (EVChargeMode, EVChargeStatus, FlowConstraint, + Flows, OptimisationType, TransformRule, Units) from echo.exceptions import ConfigurationError, validate -from echo.models.agnostic import BoundedLoad, Demand, FixedPort, FlexPort, MobileStorage, Source, Storage +from echo.models.agnostic import (BoundedLoad, Demand, FixedPort, FlexPort, + MobileStorage, Source, Storage) from echo.models.base import Node, Transform, TransformNode, TransformTerm from echo.models.scenario import EchoConcreteModel -from echo.utils import TimeExpandableType, fix_port_variable, set_var_bounds_from_dict -from echo.validators import ArrayType, check_initial_state_of_charge_within_bounds +from echo.utils import (TimeExpandableType, fix_port_variable, + set_var_bounds_from_dict) +from echo.validators import (ArrayType, + check_initial_state_of_charge_within_bounds) class ElectricalDemand(Demand): @@ -37,7 +33,7 @@ class ElectricalGeneration(Source): units = Units.KW curtailable: bool = False - def add_generation_profile(self, generation: dict): + def add_generation_profile(self, generation: dict) -> None: self.set_initial_value(generation) def add_generation_profile_from_array( @@ -45,10 +41,13 @@ def add_generation_profile_from_array( generation: ArrayType, expansion_periods: int = 1, time_periods: int | None = None, - ): - self.set_initial_value_from_array(generation, expansion_periods=expansion_periods, time_periods=time_periods) + ) -> None: - def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + self.set_initial_value_from_array( + array=generation, expansion_periods=expansion_periods, time_periods=time_periods + ) + + def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: # Whether curtailable is set or not affect whether the flow is represented as a parameter or variable # Handle that here before calling `add_port_to_model` self.flow_type = OptimisationType.Variable if self.curtailable else OptimisationType.Parameter @@ -162,14 +161,6 @@ class EVBase(TransformNode): def __init__(self, **data) -> None: super().__init__(**data) - # Initialise port_name_to_port_uid_map - if self.port_dict_name_to_port_uid_map is None: - self.port_dict_name_to_port_uid_map = {} - - # Initialise port_name_to_port_name_map - if self.port_dict_name_to_port_name_map is None: - self.port_dict_name_to_port_name_map = {} - # If usage_power_limit isn't specified, set it to discharging_power_limit. This is for backwards compatability if self.usage_power_limit is None: self.usage_power_limit = self.discharging_power_limit @@ -280,7 +271,6 @@ def _create_vehicle_port(self) -> None: depth_of_discharge_limit=self.depth_of_discharge_limit, discharging_efficiency=self.discharging_efficiency, enable_trip_slack=self.enable_trip_slack, - set_stateful_attrs_at_init=self.set_stateful_attrs_at_init, soc_conserv=self.soc_conserv, soc_conserv_cost=self.soc_conserv_cost, ) @@ -304,7 +294,7 @@ def _create_connection_point_port(self) -> None: export_constraint_value=self.discharging_power_limit, ) - def _create_ev_transformation(self) -> TransformTerm: + def _create_ev_transformation(self) -> Transform: """Creates the appropriate transformation for EV objects: vehicle = connection_point - usage. Args: @@ -364,7 +354,7 @@ def _verify_ports(self) -> None: f"{self.node_name} vehicle port does not have a initial_state_of_charge set.", ) - def set_port_uid_maps(self): + def set_port_uid_maps(self) -> None: """Sets the two maps for port names and port uids, if they aren't already set. Args: @@ -375,11 +365,11 @@ def set_port_uid_maps(self): """ # Set port_dict_name_to_port_uid_map - if len(self.port_dict_name_to_port_uid_map.keys()) == 0: + if self.port_dict_name_to_port_uid_map is None: self.port_dict_name_to_port_uid_map = {port_name: port.uid for port_name, port in self.ports.items()} # Set port_dict_name_to_port_name_map - if len(self.port_dict_name_to_port_name_map.keys()) == 0: + if self.port_dict_name_to_port_name_map is None: self.port_dict_name_to_port_name_map = {port_name: port.port_name for port_name, port in self.ports.items()} @@ -423,7 +413,7 @@ def __init__(self, **data) -> None: # Set port_dict_name_to_port_uid_map and port_dict_name_to_port_name_map self.set_port_uid_maps() - def _create_connection_point_port(self): + def _create_connection_point_port(self) -> None: """Creates a connection point port for the EV.min_soc Overwrites EVBase._create_connection_point_port as V0G uses an ElectricalDemand port instead of a @@ -570,7 +560,7 @@ def _v0g_charging(self, interval_duration: float, force_conv: bool = False) -> t return success, soc[1:], delta, trip_infeasibility - def _verify_ports(self): + def _verify_ports(self) -> None: """Checks data with state has been set for each port. Overwrites parent function. @@ -1187,31 +1177,31 @@ class Inverter(Node): def __init__( self, **kwargs, - ): + ) -> None: super().__init__(**kwargs) if self.ac_port_name: self._add_ac_port(port_name=self.ac_port_name) for port_name in self.dc_port_names: self._add_port(port_name=port_name) - def _add_port(self, port_name: str, uid: str | None = None): + def _add_port(self, port_name: str, uid: str | None = None) -> None: p = ElectricalPort(port_name=port_name, uid=uid) self.ports[port_name] = p - def _add_ac_port(self, port_name: str, uid: str | None = None): + def _add_ac_port(self, port_name: str, uid: str | None = None) -> None: p = ElectricalPort(port_name=port_name, uid=uid) p.set_flow_constraints(max_export=self.max_export, max_import=self.max_import) self.ports[port_name] = p - def add_dc_port(self, port_name: str, uid: str | None = None): + def add_dc_port(self, port_name: str, uid: str | None = None) -> None: self.dc_port_names.append(port_name) self._add_port(port_name=port_name, uid=uid) - def add_ac_port(self, port_name: str, uid: str | None = None): + def add_ac_port(self, port_name: str, uid: str | None = None) -> None: self.ac_port_name = port_name self._add_ac_port(port_name=self.ac_port_name, uid=uid) - def verify_node(self): + def verify_node(self) -> None: # Check that we have at least one ac and one dc port validate(self.ac_port_name is not None, "Define at least one ac port on inverter.") validate(self.dc_port_names is not None, "Define at least one dc port on inverter.") @@ -1223,14 +1213,16 @@ def verify_node(self): "All ports on inverter must be ac or dc.", ) - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: super().add_node_to_model(model, profile) ac_port = self.ports[self.ac_port_name] # Split ac port into pos/neg, so we can apply the correct efficiencies ac_port.constrain_pos_neg(model) - def inverter_ac_output_must_track_efficiency(model: EchoConcreteModel, p, t): # Apply efficiency constraints + def inverter_ac_output_must_track_efficiency( + model: EchoConcreteModel, p, t + ) -> None: # Apply efficiency constraints dc_total = 0 for dc_port_name in self.dc_port_names: dc_port = self.ports[dc_port_name] diff --git a/src/echo/models/gas.py b/src/echo/models/gas.py index 5889c14..6ae53fe 100644 --- a/src/echo/models/gas.py +++ b/src/echo/models/gas.py @@ -2,13 +2,12 @@ from pydantic import NonNegativeFloat, root_validator from echo.configuration import Units -from echo.models.agnostic import FixedPort, FlexPort, InputOutputNode, OffOrConstrainedPort +from echo.models.agnostic import (FixedPort, FlexPort, InputOutputNode, + OffOrConstrainedPort) from echo.models.scenario import EchoConcreteModel from echo.validators import ( - ArrayType, - set_output_bounds_from_input_bounds_and_cop_and_startup_cop, - validate_startup_efficiency, -) + ArrayType, set_output_bounds_from_input_bounds_and_cop_and_startup_cop, + validate_startup_efficiency) class FlexGasPort(FlexPort): diff --git a/src/echo/models/prebuilt.py b/src/echo/models/prebuilt.py index 0245e37..422597e 100644 --- a/src/echo/models/prebuilt.py +++ b/src/echo/models/prebuilt.py @@ -2,7 +2,8 @@ from pydantic import NonNegativeFloat, PositiveFloat from echo.configuration import Units -from echo.models.agnostic import Demand, FlexPort, FlexSink, InputOutputNode, OffOrConstrainedPort +from echo.models.agnostic import (Demand, FlexPort, FlexSink, InputOutputNode, + OffOrConstrainedPort) from echo.models.base import Node, TransformNode from echo.models.carbon import CarbonSource from echo.models.electrical import ElectricalGeneration, ElectricalStorage diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index 947a8bc..7b25af5 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -1,21 +1,19 @@ import pandas as pd import pyomo.environ as en -from pydantic import NegativeFloat, NonNegativeFloat, PositiveFloat, root_validator, validator +from pydantic import (NegativeFloat, NonNegativeFloat, PositiveFloat, + root_validator, validator) from scipy import interpolate from echo.configuration import FlowConstraint, Units -from echo.models.agnostic import FlexPort, FlexSink, FlexSource, TimeVaryingPiecewiseIONode +from echo.models.agnostic import (FlexPort, FlexSink, FlexSource, + TimeVaryingPiecewiseIONode) from echo.models.base import Node from echo.models.scenario import EchoConcreteModel -from echo.utils import ( - TimeSeriesData, - clamp, - expand_as_dict, - set_float_var_bounds, - set_var_bounds_from_dict, - to_initial_values, -) -from echo.validators import non_negative_cop_check, validate_partial_load_cop, validate_temperature_dependent_cop +from echo.utils import (TimeSeriesData, clamp, expand_as_dict, + set_float_var_bounds, set_var_bounds_from_dict, + to_initial_values) +from echo.validators import (non_negative_cop_check, validate_partial_load_cop, + validate_temperature_dependent_cop) class SimpleChiller(Node): diff --git a/src/echo/objectives/tariff.py b/src/echo/objectives/tariff.py index 4cb19ad..05d3422 100644 --- a/src/echo/objectives/tariff.py +++ b/src/echo/objectives/tariff.py @@ -5,7 +5,8 @@ import pandas as pd import pyomo.environ as en import shortuuid -from pydantic import Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, PositiveInt, root_validator, validator +from pydantic import (Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, + PositiveInt, root_validator, validator) from echo.exceptions import validate from echo.models.base import BaseModel as EchoBaseModel diff --git a/src/echo/optimiser.py b/src/echo/optimiser.py index 72f0b98..e7f772f 100644 --- a/src/echo/optimiser.py +++ b/src/echo/optimiser.py @@ -6,11 +6,13 @@ import numpy as np import pandas as pd import pyomo.environ as en -from pyomo.opt import SolverFactory, SolverResults, SolverStatus, TerminationCondition +from pyomo.opt import (SolverFactory, SolverResults, SolverStatus, + TerminationCondition) from echo.exceptions import ConfigurationError, OptimiserResultError, validate from echo.models.base import Node, OptimisationGraph, Port -from echo.models.scenario import EchoConcreteModel, EngineSettings, ScenarioSettings +from echo.models.scenario import (EchoConcreteModel, EngineSettings, + ScenarioSettings) from echo.objectives.base import Objective, ObjectiveSet # The default set of termination conditions that pyomo can return and echo will report as a success diff --git a/tests/test_agnostic_integration.py b/tests/test_agnostic_integration.py index a2e3ef7..3d8665f 100644 --- a/tests/test_agnostic_integration.py +++ b/tests/test_agnostic_integration.py @@ -3,9 +3,11 @@ import pandas as pd from echo.configuration import Units -from echo.models.agnostic import FlexPort, PartitionedMultiCommodityTellegenNode, Sink +from echo.models.agnostic import (FlexPort, + PartitionedMultiCommodityTellegenNode, Sink) from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.optimiser import optimise NUMBER_INTERVALS = 10 diff --git a/tests/test_agnostic_models.py b/tests/test_agnostic_models.py index d02f3b5..0ceddfe 100644 --- a/tests/test_agnostic_models.py +++ b/tests/test_agnostic_models.py @@ -4,8 +4,11 @@ import pytest from echo.configuration import Units -from echo.models.agnostic import FlexPort, PartitionedMultiCommodityTellegenNode, ThreeWayValveNode -from echo.models.scenario import EchoConcreteModel, ScenarioSettings, engine_settings_from_environment +from echo.models.agnostic import (FlexPort, + PartitionedMultiCommodityTellegenNode, + ThreeWayValveNode) +from echo.models.scenario import (EchoConcreteModel, ScenarioSettings, + engine_settings_from_environment) def empty_model(): diff --git a/tests/test_asset_types.py b/tests/test_asset_types.py index cd84aa8..6350a0d 100644 --- a/tests/test_asset_types.py +++ b/tests/test_asset_types.py @@ -4,9 +4,11 @@ from echo.models.agnostic import FlexPort, Sink, TellegenNode from echo.models.base import Node, OptimisationGraph, TransformNode from echo.models.carbon import CarbonAggregation, CarbonSink, CarbonSource -from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage +from echo.models.electrical import (ElectricalDemand, ElectricalPort, + ElectricalStorage) from echo.models.gas import FlexGasPort, GasBoilerFixedCOP -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_base.py b/tests/test_base.py index c8b0ce1..6d82696 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -3,9 +3,11 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import EVV0G, EVV1G, EVV2G, ElectricalGeneration, Inverter +from echo.models.electrical import (EVV0G, EVV1G, EVV2G, ElectricalGeneration, + Inverter) from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_contingency_capacity.py b/tests/test_contingency_capacity.py index c3d49ff..3c3a5a0 100644 --- a/tests/test_contingency_capacity.py +++ b/tests/test_contingency_capacity.py @@ -3,8 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.contingency import ContingencyNegative from echo.optimiser import optimise diff --git a/tests/test_contingency_positive_capacity.py b/tests/test_contingency_positive_capacity.py index 460d9ba..afb18ca 100644 --- a/tests/test_contingency_positive_capacity.py +++ b/tests/test_contingency_positive_capacity.py @@ -3,8 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.contingency import ContingencyPositive from echo.optimiser import optimise diff --git a/tests/test_electrical.py b/tests/test_electrical.py index 1116b5d..07835ec 100644 --- a/tests/test_electrical.py +++ b/tests/test_electrical.py @@ -3,7 +3,8 @@ from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration, Inverter from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_evs.py b/tests/test_evs.py index 438e510..73da049 100644 --- a/tests/test_evs.py +++ b/tests/test_evs.py @@ -5,18 +5,12 @@ from echo.exceptions import ConfigurationError from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ( - EVV0G, - EVV1G, - EVV2G, - ElectricalDemand, - ElectricalGeneration, - ElectricalPort, - EVWithProfile, - Inverter, -) +from echo.models.electrical import (EVV0G, EVV1G, EVV2G, ElectricalDemand, + ElectricalGeneration, ElectricalPort, + EVWithProfile, Inverter) from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/tests/test_gas.py b/tests/test_gas.py index 4c7c221..01d01be 100644 --- a/tests/test_gas.py +++ b/tests/test_gas.py @@ -1,14 +1,7 @@ from pandas.io.pytables import Fixed -from echo.configuration import ( - FlowConstraint, - Flows, - OptimisationType, - Units, -) -from echo.models.gas import ( - FlexGasPort, - FixedGasPort, -) + +from echo.configuration import FlowConstraint, Flows, OptimisationType, Units +from echo.models.gas import FixedGasPort, FlexGasPort def test_build_flex_gas_port(): diff --git a/tests/test_hybrid_inverter_behaviour.py b/tests/test_hybrid_inverter_behaviour.py index fbe79af..2454888 100644 --- a/tests/test_hybrid_inverter_behaviour.py +++ b/tests/test_hybrid_inverter_behaviour.py @@ -3,8 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_inverter_efficiency_behaviour.py b/tests/test_inverter_efficiency_behaviour.py index 29ef06a..0e8b6d5 100644 --- a/tests/test_inverter_efficiency_behaviour.py +++ b/tests/test_inverter_efficiency_behaviour.py @@ -3,8 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_load_control_schemes.py b/tests/test_load_control_schemes.py index 93a3dd8..226a8a7 100644 --- a/tests/test_load_control_schemes.py +++ b/tests/test_load_control_schemes.py @@ -2,9 +2,12 @@ from echo.configuration import TransformRule, Units from echo.models.agnostic import FlexPort, TellegenNode, TimeDelayNode -from echo.models.base import Node, OptimisationGraph, Transform, TransformNode, TransformTerm -from echo.models.electrical import BoundedElectricalLoad, ElectricalDemand, ElectricalPort -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.base import (Node, OptimisationGraph, Transform, + TransformNode, TransformTerm) +from echo.models.electrical import (BoundedElectricalLoad, ElectricalDemand, + ElectricalPort) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_new_demand_tariffs.py b/tests/test_new_demand_tariffs.py index d8b5dd9..d6cbabc 100644 --- a/tests/test_new_demand_tariffs.py +++ b/tests/test_new_demand_tariffs.py @@ -4,9 +4,11 @@ from echo.models.agnostic import FlexPort from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalDemand, ElectricalGeneration -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import DemandTariffObjective, ExportDemandCharge, ImportDemandCharge +from echo.objectives.tariff import (DemandTariffObjective, ExportDemandCharge, + ImportDemandCharge) from echo.optimiser import optimise diff --git a/tests/test_objective_functions.py b/tests/test_objective_functions.py index 7f85c0e..a517ff9 100644 --- a/tests/test_objective_functions.py +++ b/tests/test_objective_functions.py @@ -1,10 +1,14 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import DemandTariffObjective, ExportTariff, ImportDemandCharge, ImportTariff, ThroughputCost +from echo.objectives.tariff import (DemandTariffObjective, ExportTariff, + ImportDemandCharge, ImportTariff, + ThroughputCost) from echo.optimiser import optimise diff --git a/tests/test_path_tracing.py b/tests/test_path_tracing.py index 7f0fde4..12f460f 100644 --- a/tests/test_path_tracing.py +++ b/tests/test_path_tracing.py @@ -3,8 +3,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, + ElectricalStorage, Inverter) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.optimiser import optimise diff --git a/tests/test_peak_power_objective.py b/tests/test_peak_power_objective.py index fff11e8..ae827ab 100644 --- a/tests/test_peak_power_objective.py +++ b/tests/test_peak_power_objective.py @@ -3,7 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import ControlledLoad, FlexPort from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.power import QuadraticPower from echo.optimiser import optimise diff --git a/tests/test_peak_power_optimisation.py b/tests/test_peak_power_optimisation.py index ff24452..bab8ce4 100644 --- a/tests/test_peak_power_optimisation.py +++ b/tests/test_peak_power_optimisation.py @@ -1,8 +1,10 @@ from echo.configuration import OptimisationType, Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.electrical import (ElectricalDemand, ElectricalPort, + ElectricalStorage) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakNegativePower, PeakPositivePower from echo.optimiser import optimise diff --git a/tests/test_simple_controlled_load.py b/tests/test_simple_controlled_load.py index c42a54a..2816120 100644 --- a/tests/test_simple_controlled_load.py +++ b/tests/test_simple_controlled_load.py @@ -3,7 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import ControlledLoad, FlexPort from echo.models.base import Edge, Node, OptimisationGraph -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalExportFlow, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_simple_solar_curtailment.py b/tests/test_simple_solar_curtailment.py index 9eda68f..b85cc4a 100644 --- a/tests/test_simple_solar_curtailment.py +++ b/tests/test_simple_solar_curtailment.py @@ -4,7 +4,8 @@ from echo.models.agnostic import FlexPort, FlexSink, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalFlow, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_slack_variables.py b/tests/test_slack_variables.py index 701727c..c7c52a9 100644 --- a/tests/test_slack_variables.py +++ b/tests/test_slack_variables.py @@ -4,7 +4,8 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_tariffs.py b/tests/test_tariffs.py index 337edbe..f796814 100644 --- a/tests/test_tariffs.py +++ b/tests/test_tariffs.py @@ -9,18 +9,15 @@ from echo.configuration import FlowConstraint, Flows, Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage +from echo.models.electrical import (ElectricalDemand, ElectricalPort, + ElectricalStorage) from echo.models.prebuilt import FlexNode, Load -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import ( - BlockImportTariff, - DemandTariffObjective, - ImportDemandCharge, - ImportTariff, - PathTariff, - ThroughputCost, -) +from echo.objectives.tariff import (BlockImportTariff, DemandTariffObjective, + ImportDemandCharge, ImportTariff, + PathTariff, ThroughputCost) from echo.optimiser import optimise diff --git a/tests/test_thermal_models.py b/tests/test_thermal_models.py index 9729e17..ea5fe36 100644 --- a/tests/test_thermal_models.py +++ b/tests/test_thermal_models.py @@ -3,7 +3,8 @@ import pytest from echo.configuration import Units -from echo.models.thermal import SimpleChiller, SimpleHeatPump, SimpleHeatPumpDualOutput +from echo.models.thermal import (SimpleChiller, SimpleHeatPump, + SimpleHeatPumpDualOutput) from echo.utils import TimeSeriesData, expand_as_dict NUMBER_INTERVALS = 5 diff --git a/tests/test_thermal_models_optimisation.py b/tests/test_thermal_models_optimisation.py index 2824885..2fb8246 100644 --- a/tests/test_thermal_models_optimisation.py +++ b/tests/test_thermal_models_optimisation.py @@ -4,17 +4,14 @@ import pandas as pd from echo.configuration import FlowConstraint, Flows, OptimisationType, Units -from echo.models.agnostic import AggregationNode, FlexPort, Sink, Source, TellegenNode, ThreeWayValveNode +from echo.models.agnostic import (AggregationNode, FlexPort, Sink, Source, + TellegenNode, ThreeWayValveNode) from echo.models.base import Node, OptimisationGraph, Port -from echo.models.scenario import ScenarioSettings, engine_settings_from_environment -from echo.models.thermal import ( - ParameterisedChiller, - ParameterisedHeatPump, - SimpleChiller, - SimpleHeatPump, - SimpleHeatPumpDualOutput, - ThermalStorage, -) +from echo.models.scenario import (ScenarioSettings, + engine_settings_from_environment) +from echo.models.thermal import (ParameterisedChiller, ParameterisedHeatPump, + SimpleChiller, SimpleHeatPump, + SimpleHeatPumpDualOutput, ThermalStorage) from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakPositivePower from echo.objectives.tariff import ThroughputCost diff --git a/tests/test_utils.py b/tests/test_utils.py index 7387533..b457e26 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -1,7 +1,8 @@ import numpy as np import pytest -from echo.utils import TimeSeriesData, UnexpandableTimeSeriesDataError, expand_as_array, expand_as_dict +from echo.utils import (TimeSeriesData, UnexpandableTimeSeriesDataError, + expand_as_array, expand_as_dict) @pytest.mark.parametrize( From 8b13fe436e1d8f3a202262e73109f8e5945e0684 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 16:03:19 +1000 Subject: [PATCH 24/44] Autoformatting --- docs/source/conf.py | 1 + examples/behind_the_meter_with_battery.py | 3 +- examples/demand_tariff.py | 6 ++-- examples/demand_tariff_with_time_periods.py | 15 ++++++--- examples/electric_vehicles.py | 3 +- examples/neighbourhood_battery.py | 6 ++-- ...ighbourhood_battery_with_aggregate_load.py | 3 +- examples/serialisable_graph.py | 3 +- examples/simple_behind_the_meter_network.py | 3 +- examples/simple_thermal_network.py | 3 +- examples/stand_alone_power_system.py | 6 ++-- examples/using_dataframes.py | 3 +- src/echo/models/agnostic.py | 31 +++++++++++++------ src/echo/models/base.py | 20 +++++++----- src/echo/models/electrical.py | 20 +++++++----- src/echo/models/gas.py | 13 +++----- src/echo/models/prebuilt.py | 3 +- src/echo/models/thermal.py | 20 ++++++------ src/echo/objectives/tariff.py | 3 +- src/echo/optimiser.py | 6 ++-- tests/test_agnostic_integration.py | 6 ++-- tests/test_agnostic_models.py | 7 ++--- tests/test_asset_types.py | 6 ++-- tests/test_base.py | 6 ++-- tests/test_contingency_capacity.py | 6 ++-- tests/test_contingency_positive_capacity.py | 6 ++-- tests/test_electrical.py | 3 +- tests/test_evs.py | 16 +++++++--- tests/test_gas.py | 1 - tests/test_hybrid_inverter_behaviour.py | 6 ++-- tests/test_inverter_efficiency_behaviour.py | 6 ++-- tests/test_load_control_schemes.py | 9 ++---- tests/test_new_demand_tariffs.py | 6 ++-- tests/test_objective_functions.py | 10 ++---- tests/test_path_tracing.py | 6 ++-- tests/test_peak_power_objective.py | 3 +- tests/test_peak_power_optimisation.py | 6 ++-- tests/test_simple_controlled_load.py | 3 +- tests/test_simple_solar_curtailment.py | 3 +- tests/test_slack_variables.py | 3 +- tests/test_tariffs.py | 17 +++++----- tests/test_thermal_models.py | 3 +- tests/test_thermal_models_optimisation.py | 17 +++++----- tests/test_utils.py | 3 +- 44 files changed, 155 insertions(+), 174 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 6969480..9a5a1a7 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -7,6 +7,7 @@ # -- Path setup -------------------------------------------------------------- import importlib.metadata + # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. diff --git a/examples/behind_the_meter_with_battery.py b/examples/behind_the_meter_with_battery.py index dd462a9..5c9dded 100644 --- a/examples/behind_the_meter_with_battery.py +++ b/examples/behind_the_meter_with_battery.py @@ -10,8 +10,7 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter from echo.models.scenario import EngineSettings, ScenarioSettings from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakNegativePower diff --git a/examples/demand_tariff.py b/examples/demand_tariff.py index c4d8f07..c25a2de 100644 --- a/examples/demand_tariff.py +++ b/examples/demand_tariff.py @@ -8,11 +8,9 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import OptimisationGraph from echo.models.prebuilt import Battery, FlexNode, Load -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (DemandTariffObjective, ImportDemandCharge, - ThroughputCost) +from echo.objectives.tariff import DemandTariffObjective, ImportDemandCharge, ThroughputCost from echo.optimiser import optimise SOLVER = os.environ.get("OPTIMISER_ENGINE", "cplex") diff --git a/examples/demand_tariff_with_time_periods.py b/examples/demand_tariff_with_time_periods.py index bfbc75b..edf7692 100644 --- a/examples/demand_tariff_with_time_periods.py +++ b/examples/demand_tariff_with_time_periods.py @@ -6,12 +6,17 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalDemand, ElectricalStorage -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (Day, DemandTariffObjective, - ImportDemandCharge, ResetPeriod, - ThroughputCost, TimePeriod, Window) +from echo.objectives.tariff import ( + Day, + DemandTariffObjective, + ImportDemandCharge, + ResetPeriod, + ThroughputCost, + TimePeriod, + Window, +) from echo.optimiser import optimise expansion_periods = 1 diff --git a/examples/electric_vehicles.py b/examples/electric_vehicles.py index f555156..acf4657 100644 --- a/examples/electric_vehicles.py +++ b/examples/electric_vehicles.py @@ -13,8 +13,7 @@ from echo.models.base import OptimisationGraph from echo.models.electrical import EVV0G, EVV1G, EVV2G, EVWithProfile from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/neighbourhood_battery.py b/examples/neighbourhood_battery.py index d631a95..218c786 100644 --- a/examples/neighbourhood_battery.py +++ b/examples/neighbourhood_battery.py @@ -7,10 +7,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import PathTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/neighbourhood_battery_with_aggregate_load.py b/examples/neighbourhood_battery_with_aggregate_load.py index 40fc799..f30e504 100644 --- a/examples/neighbourhood_battery_with_aggregate_load.py +++ b/examples/neighbourhood_battery_with_aggregate_load.py @@ -8,8 +8,7 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalStorage, FixedElectricalPort -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import PathTariff, ThroughputCost from echo.optimiser import optimise diff --git a/examples/serialisable_graph.py b/examples/serialisable_graph.py index 8dc2f09..b9ad312 100644 --- a/examples/serialisable_graph.py +++ b/examples/serialisable_graph.py @@ -8,8 +8,7 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalStorage, FixedElectricalPort -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ThroughputCost from echo.optimiser import optimise diff --git a/examples/simple_behind_the_meter_network.py b/examples/simple_behind_the_meter_network.py index 6b327b4..b13044f 100644 --- a/examples/simple_behind_the_meter_network.py +++ b/examples/simple_behind_the_meter_network.py @@ -1,8 +1,7 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter """ A behind-the-meter battery network diff --git a/examples/simple_thermal_network.py b/examples/simple_thermal_network.py index 970ea5b..28b083c 100644 --- a/examples/simple_thermal_network.py +++ b/examples/simple_thermal_network.py @@ -4,8 +4,7 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, Sink, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.models.thermal import ThermalStorage from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakPositivePower diff --git a/examples/stand_alone_power_system.py b/examples/stand_alone_power_system.py index 787b32f..9d5ad52 100644 --- a/examples/stand_alone_power_system.py +++ b/examples/stand_alone_power_system.py @@ -7,11 +7,9 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter from echo.models.prebuilt import DieselGenerator -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/examples/using_dataframes.py b/examples/using_dataframes.py index ccb7566..7af63e3 100644 --- a/examples/using_dataframes.py +++ b/examples/using_dataframes.py @@ -4,8 +4,7 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration, FixedElectricalPort -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.optimiser import optimise time_periods = 48 diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index 6b5ced6..088ea8c 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -6,16 +6,27 @@ from echo.exceptions import ConfigurationError, validate from echo.models.base import Node, Port from echo.models.scenario import EchoConcreteModel -from echo.utils import (TimeExpandableType, TimeSeriesData, expand_as_array, - generate_array_constraint, - populate_values_across_time_and_expansion_indices, - set_float_var_bounds, set_var_bounds_from_dict) -from echo.validators import (ArrayType, check_bound_order, dod_checks, - node_unit_validator, nonnegative_costs, - nonnegative_load, nonpositive_generation, - set_bounds_from_piecewise_points, - validate_partition_ports, - validate_piecewise_arrays) +from echo.utils import ( + TimeExpandableType, + TimeSeriesData, + expand_as_array, + generate_array_constraint, + populate_values_across_time_and_expansion_indices, + set_float_var_bounds, + set_var_bounds_from_dict, +) +from echo.validators import ( + ArrayType, + check_bound_order, + dod_checks, + node_unit_validator, + nonnegative_costs, + nonnegative_load, + nonpositive_generation, + set_bounds_from_piecewise_points, + validate_partition_ports, + validate_piecewise_arrays, +) """ diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 8d844ea..b9f94f9 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -11,16 +11,20 @@ from pydantic import BaseModel as PydanticBaseModel from pydantic import Field, validator -from echo.configuration import (FlowConstraint, Flows, OptimisationType, - TransformRule, Units) -from echo.constants import (negative_variable_component, - positive_variable_component) +from echo.configuration import FlowConstraint, Flows, OptimisationType, TransformRule, Units +from echo.constants import negative_variable_component, positive_variable_component from echo.exceptions import ConfigurationError, validate from echo.models.scenario import EchoConcreteModel -from echo.utils import (TimeExpandableType, TimeSeriesData, domain_from_flow, - expand_as_array, expand_as_dict, - generate_array_constraint, set_var_bounds_from_dict, - to_initial_values) +from echo.utils import ( + TimeExpandableType, + TimeSeriesData, + domain_from_flow, + expand_as_array, + expand_as_dict, + generate_array_constraint, + set_var_bounds_from_dict, + to_initial_values, +) from echo.validators import ArrayType, export_cons_check, import_cons_check ConstraintValueType = ArrayType | float diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index 0d2c96b..cbfc00c 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -8,17 +8,21 @@ from deprecated import deprecated from pydantic import Field, NonNegativeFloat -from echo.configuration import (EVChargeMode, EVChargeStatus, FlowConstraint, - Flows, OptimisationType, TransformRule, Units) +from echo.configuration import ( + EVChargeMode, + EVChargeStatus, + FlowConstraint, + Flows, + OptimisationType, + TransformRule, + Units, +) from echo.exceptions import ConfigurationError, validate -from echo.models.agnostic import (BoundedLoad, Demand, FixedPort, FlexPort, - MobileStorage, Source, Storage) +from echo.models.agnostic import BoundedLoad, Demand, FixedPort, FlexPort, MobileStorage, Source, Storage from echo.models.base import Node, Transform, TransformNode, TransformTerm from echo.models.scenario import EchoConcreteModel -from echo.utils import (TimeExpandableType, fix_port_variable, - set_var_bounds_from_dict) -from echo.validators import (ArrayType, - check_initial_state_of_charge_within_bounds) +from echo.utils import TimeExpandableType, fix_port_variable, set_var_bounds_from_dict +from echo.validators import ArrayType, check_initial_state_of_charge_within_bounds class ElectricalDemand(Demand): diff --git a/src/echo/models/gas.py b/src/echo/models/gas.py index 6ae53fe..66dd15d 100644 --- a/src/echo/models/gas.py +++ b/src/echo/models/gas.py @@ -2,12 +2,13 @@ from pydantic import NonNegativeFloat, root_validator from echo.configuration import Units -from echo.models.agnostic import (FixedPort, FlexPort, InputOutputNode, - OffOrConstrainedPort) +from echo.models.agnostic import FixedPort, FlexPort, InputOutputNode, OffOrConstrainedPort from echo.models.scenario import EchoConcreteModel from echo.validators import ( - ArrayType, set_output_bounds_from_input_bounds_and_cop_and_startup_cop, - validate_startup_efficiency) + ArrayType, + set_output_bounds_from_input_bounds_and_cop_and_startup_cop, + validate_startup_efficiency, +) class FlexGasPort(FlexPort): @@ -135,10 +136,6 @@ def constraint2(model: EchoConcreteModel, p, t): getattr(model, self.return_t)[p, t] - getattr(model, self.exit_t)[p, t] ) * self.deg_to_kw * self.cop == output_kw[p, t] - print(constraint2) - print() - print(type(constraint2)) - assert 1 == 2 setattr( model, "boiler_temp_con2_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=constraint2) ) diff --git a/src/echo/models/prebuilt.py b/src/echo/models/prebuilt.py index 422597e..0245e37 100644 --- a/src/echo/models/prebuilt.py +++ b/src/echo/models/prebuilt.py @@ -2,8 +2,7 @@ from pydantic import NonNegativeFloat, PositiveFloat from echo.configuration import Units -from echo.models.agnostic import (Demand, FlexPort, FlexSink, InputOutputNode, - OffOrConstrainedPort) +from echo.models.agnostic import Demand, FlexPort, FlexSink, InputOutputNode, OffOrConstrainedPort from echo.models.base import Node, TransformNode from echo.models.carbon import CarbonSource from echo.models.electrical import ElectricalGeneration, ElectricalStorage diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index 7b25af5..947a8bc 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -1,19 +1,21 @@ import pandas as pd import pyomo.environ as en -from pydantic import (NegativeFloat, NonNegativeFloat, PositiveFloat, - root_validator, validator) +from pydantic import NegativeFloat, NonNegativeFloat, PositiveFloat, root_validator, validator from scipy import interpolate from echo.configuration import FlowConstraint, Units -from echo.models.agnostic import (FlexPort, FlexSink, FlexSource, - TimeVaryingPiecewiseIONode) +from echo.models.agnostic import FlexPort, FlexSink, FlexSource, TimeVaryingPiecewiseIONode from echo.models.base import Node from echo.models.scenario import EchoConcreteModel -from echo.utils import (TimeSeriesData, clamp, expand_as_dict, - set_float_var_bounds, set_var_bounds_from_dict, - to_initial_values) -from echo.validators import (non_negative_cop_check, validate_partial_load_cop, - validate_temperature_dependent_cop) +from echo.utils import ( + TimeSeriesData, + clamp, + expand_as_dict, + set_float_var_bounds, + set_var_bounds_from_dict, + to_initial_values, +) +from echo.validators import non_negative_cop_check, validate_partial_load_cop, validate_temperature_dependent_cop class SimpleChiller(Node): diff --git a/src/echo/objectives/tariff.py b/src/echo/objectives/tariff.py index 05d3422..4cb19ad 100644 --- a/src/echo/objectives/tariff.py +++ b/src/echo/objectives/tariff.py @@ -5,8 +5,7 @@ import pandas as pd import pyomo.environ as en import shortuuid -from pydantic import (Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, - PositiveInt, root_validator, validator) +from pydantic import Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, PositiveInt, root_validator, validator from echo.exceptions import validate from echo.models.base import BaseModel as EchoBaseModel diff --git a/src/echo/optimiser.py b/src/echo/optimiser.py index e7f772f..72f0b98 100644 --- a/src/echo/optimiser.py +++ b/src/echo/optimiser.py @@ -6,13 +6,11 @@ import numpy as np import pandas as pd import pyomo.environ as en -from pyomo.opt import (SolverFactory, SolverResults, SolverStatus, - TerminationCondition) +from pyomo.opt import SolverFactory, SolverResults, SolverStatus, TerminationCondition from echo.exceptions import ConfigurationError, OptimiserResultError, validate from echo.models.base import Node, OptimisationGraph, Port -from echo.models.scenario import (EchoConcreteModel, EngineSettings, - ScenarioSettings) +from echo.models.scenario import EchoConcreteModel, EngineSettings, ScenarioSettings from echo.objectives.base import Objective, ObjectiveSet # The default set of termination conditions that pyomo can return and echo will report as a success diff --git a/tests/test_agnostic_integration.py b/tests/test_agnostic_integration.py index 3d8665f..a2e3ef7 100644 --- a/tests/test_agnostic_integration.py +++ b/tests/test_agnostic_integration.py @@ -3,11 +3,9 @@ import pandas as pd from echo.configuration import Units -from echo.models.agnostic import (FlexPort, - PartitionedMultiCommodityTellegenNode, Sink) +from echo.models.agnostic import FlexPort, PartitionedMultiCommodityTellegenNode, Sink from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.optimiser import optimise NUMBER_INTERVALS = 10 diff --git a/tests/test_agnostic_models.py b/tests/test_agnostic_models.py index 0ceddfe..d02f3b5 100644 --- a/tests/test_agnostic_models.py +++ b/tests/test_agnostic_models.py @@ -4,11 +4,8 @@ import pytest from echo.configuration import Units -from echo.models.agnostic import (FlexPort, - PartitionedMultiCommodityTellegenNode, - ThreeWayValveNode) -from echo.models.scenario import (EchoConcreteModel, ScenarioSettings, - engine_settings_from_environment) +from echo.models.agnostic import FlexPort, PartitionedMultiCommodityTellegenNode, ThreeWayValveNode +from echo.models.scenario import EchoConcreteModel, ScenarioSettings, engine_settings_from_environment def empty_model(): diff --git a/tests/test_asset_types.py b/tests/test_asset_types.py index 6350a0d..cd84aa8 100644 --- a/tests/test_asset_types.py +++ b/tests/test_asset_types.py @@ -4,11 +4,9 @@ from echo.models.agnostic import FlexPort, Sink, TellegenNode from echo.models.base import Node, OptimisationGraph, TransformNode from echo.models.carbon import CarbonAggregation, CarbonSink, CarbonSource -from echo.models.electrical import (ElectricalDemand, ElectricalPort, - ElectricalStorage) +from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage from echo.models.gas import FlexGasPort, GasBoilerFixedCOP -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_base.py b/tests/test_base.py index 6d82696..c8b0ce1 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -3,11 +3,9 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (EVV0G, EVV1G, EVV2G, ElectricalGeneration, - Inverter) +from echo.models.electrical import EVV0G, EVV1G, EVV2G, ElectricalGeneration, Inverter from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_contingency_capacity.py b/tests/test_contingency_capacity.py index 3c3a5a0..c3d49ff 100644 --- a/tests/test_contingency_capacity.py +++ b/tests/test_contingency_capacity.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.contingency import ContingencyNegative from echo.optimiser import optimise diff --git a/tests/test_contingency_positive_capacity.py b/tests/test_contingency_positive_capacity.py index afb18ca..460d9ba 100644 --- a/tests/test_contingency_positive_capacity.py +++ b/tests/test_contingency_positive_capacity.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.contingency import ContingencyPositive from echo.optimiser import optimise diff --git a/tests/test_electrical.py b/tests/test_electrical.py index 07835ec..1116b5d 100644 --- a/tests/test_electrical.py +++ b/tests/test_electrical.py @@ -3,8 +3,7 @@ from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration, Inverter from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise diff --git a/tests/test_evs.py b/tests/test_evs.py index 73da049..438e510 100644 --- a/tests/test_evs.py +++ b/tests/test_evs.py @@ -5,12 +5,18 @@ from echo.exceptions import ConfigurationError from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (EVV0G, EVV1G, EVV2G, ElectricalDemand, - ElectricalGeneration, ElectricalPort, - EVWithProfile, Inverter) +from echo.models.electrical import ( + EVV0G, + EVV1G, + EVV2G, + ElectricalDemand, + ElectricalGeneration, + ElectricalPort, + EVWithProfile, + Inverter, +) from echo.models.prebuilt import FlexElectricalNode -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/tests/test_gas.py b/tests/test_gas.py index 01d01be..5c65354 100644 --- a/tests/test_gas.py +++ b/tests/test_gas.py @@ -1,4 +1,3 @@ -from pandas.io.pytables import Fixed from echo.configuration import FlowConstraint, Flows, OptimisationType, Units from echo.models.gas import FixedGasPort, FlexGasPort diff --git a/tests/test_hybrid_inverter_behaviour.py b/tests/test_hybrid_inverter_behaviour.py index 2454888..fbe79af 100644 --- a/tests/test_hybrid_inverter_behaviour.py +++ b/tests/test_hybrid_inverter_behaviour.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_inverter_efficiency_behaviour.py b/tests/test_inverter_efficiency_behaviour.py index 0e8b6d5..29ef06a 100644 --- a/tests/test_inverter_efficiency_behaviour.py +++ b/tests/test_inverter_efficiency_behaviour.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_load_control_schemes.py b/tests/test_load_control_schemes.py index 226a8a7..93a3dd8 100644 --- a/tests/test_load_control_schemes.py +++ b/tests/test_load_control_schemes.py @@ -2,12 +2,9 @@ from echo.configuration import TransformRule, Units from echo.models.agnostic import FlexPort, TellegenNode, TimeDelayNode -from echo.models.base import (Node, OptimisationGraph, Transform, - TransformNode, TransformTerm) -from echo.models.electrical import (BoundedElectricalLoad, ElectricalDemand, - ElectricalPort) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.base import Node, OptimisationGraph, Transform, TransformNode, TransformTerm +from echo.models.electrical import BoundedElectricalLoad, ElectricalDemand, ElectricalPort +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_new_demand_tariffs.py b/tests/test_new_demand_tariffs.py index d6cbabc..d8b5dd9 100644 --- a/tests/test_new_demand_tariffs.py +++ b/tests/test_new_demand_tariffs.py @@ -4,11 +4,9 @@ from echo.models.agnostic import FlexPort from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalDemand, ElectricalGeneration -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (DemandTariffObjective, ExportDemandCharge, - ImportDemandCharge) +from echo.objectives.tariff import DemandTariffObjective, ExportDemandCharge, ImportDemandCharge from echo.optimiser import optimise diff --git a/tests/test_objective_functions.py b/tests/test_objective_functions.py index a517ff9..7f85c0e 100644 --- a/tests/test_objective_functions.py +++ b/tests/test_objective_functions.py @@ -1,14 +1,10 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (DemandTariffObjective, ExportTariff, - ImportDemandCharge, ImportTariff, - ThroughputCost) +from echo.objectives.tariff import DemandTariffObjective, ExportTariff, ImportDemandCharge, ImportTariff, ThroughputCost from echo.optimiser import optimise diff --git a/tests/test_path_tracing.py b/tests/test_path_tracing.py index 12f460f..7f0fde4 100644 --- a/tests/test_path_tracing.py +++ b/tests/test_path_tracing.py @@ -3,10 +3,8 @@ from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalGeneration, - ElectricalStorage, Inverter) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalGeneration, ElectricalStorage, Inverter +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.optimiser import optimise diff --git a/tests/test_peak_power_objective.py b/tests/test_peak_power_objective.py index ae827ab..fff11e8 100644 --- a/tests/test_peak_power_objective.py +++ b/tests/test_peak_power_objective.py @@ -3,8 +3,7 @@ from echo.configuration import Units from echo.models.agnostic import ControlledLoad, FlexPort from echo.models.base import Node, OptimisationGraph -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.power import QuadraticPower from echo.optimiser import optimise diff --git a/tests/test_peak_power_optimisation.py b/tests/test_peak_power_optimisation.py index bab8ce4..ff24452 100644 --- a/tests/test_peak_power_optimisation.py +++ b/tests/test_peak_power_optimisation.py @@ -1,10 +1,8 @@ from echo.configuration import OptimisationType, Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalPort, - ElectricalStorage) -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakNegativePower, PeakPositivePower from echo.optimiser import optimise diff --git a/tests/test_simple_controlled_load.py b/tests/test_simple_controlled_load.py index 2816120..c42a54a 100644 --- a/tests/test_simple_controlled_load.py +++ b/tests/test_simple_controlled_load.py @@ -3,8 +3,7 @@ from echo.configuration import Units from echo.models.agnostic import ControlledLoad, FlexPort from echo.models.base import Edge, Node, OptimisationGraph -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalExportFlow, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_simple_solar_curtailment.py b/tests/test_simple_solar_curtailment.py index b85cc4a..9eda68f 100644 --- a/tests/test_simple_solar_curtailment.py +++ b/tests/test_simple_solar_curtailment.py @@ -4,8 +4,7 @@ from echo.models.agnostic import FlexPort, FlexSink, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalFlow, TotalImportFlow from echo.optimiser import optimise diff --git a/tests/test_slack_variables.py b/tests/test_slack_variables.py index c7c52a9..701727c 100644 --- a/tests/test_slack_variables.py +++ b/tests/test_slack_variables.py @@ -4,8 +4,7 @@ from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph from echo.models.electrical import ElectricalGeneration -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet, TotalFlow from echo.optimiser import optimise diff --git a/tests/test_tariffs.py b/tests/test_tariffs.py index f796814..337edbe 100644 --- a/tests/test_tariffs.py +++ b/tests/test_tariffs.py @@ -9,15 +9,18 @@ from echo.configuration import FlowConstraint, Flows, Units from echo.models.agnostic import FlexPort, TellegenNode from echo.models.base import Node, OptimisationGraph -from echo.models.electrical import (ElectricalDemand, ElectricalPort, - ElectricalStorage) +from echo.models.electrical import ElectricalDemand, ElectricalPort, ElectricalStorage from echo.models.prebuilt import FlexNode, Load -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet -from echo.objectives.tariff import (BlockImportTariff, DemandTariffObjective, - ImportDemandCharge, ImportTariff, - PathTariff, ThroughputCost) +from echo.objectives.tariff import ( + BlockImportTariff, + DemandTariffObjective, + ImportDemandCharge, + ImportTariff, + PathTariff, + ThroughputCost, +) from echo.optimiser import optimise diff --git a/tests/test_thermal_models.py b/tests/test_thermal_models.py index ea5fe36..9729e17 100644 --- a/tests/test_thermal_models.py +++ b/tests/test_thermal_models.py @@ -3,8 +3,7 @@ import pytest from echo.configuration import Units -from echo.models.thermal import (SimpleChiller, SimpleHeatPump, - SimpleHeatPumpDualOutput) +from echo.models.thermal import SimpleChiller, SimpleHeatPump, SimpleHeatPumpDualOutput from echo.utils import TimeSeriesData, expand_as_dict NUMBER_INTERVALS = 5 diff --git a/tests/test_thermal_models_optimisation.py b/tests/test_thermal_models_optimisation.py index 2fb8246..2824885 100644 --- a/tests/test_thermal_models_optimisation.py +++ b/tests/test_thermal_models_optimisation.py @@ -4,14 +4,17 @@ import pandas as pd from echo.configuration import FlowConstraint, Flows, OptimisationType, Units -from echo.models.agnostic import (AggregationNode, FlexPort, Sink, Source, - TellegenNode, ThreeWayValveNode) +from echo.models.agnostic import AggregationNode, FlexPort, Sink, Source, TellegenNode, ThreeWayValveNode from echo.models.base import Node, OptimisationGraph, Port -from echo.models.scenario import (ScenarioSettings, - engine_settings_from_environment) -from echo.models.thermal import (ParameterisedChiller, ParameterisedHeatPump, - SimpleChiller, SimpleHeatPump, - SimpleHeatPumpDualOutput, ThermalStorage) +from echo.models.scenario import ScenarioSettings, engine_settings_from_environment +from echo.models.thermal import ( + ParameterisedChiller, + ParameterisedHeatPump, + SimpleChiller, + SimpleHeatPump, + SimpleHeatPumpDualOutput, + ThermalStorage, +) from echo.objectives.base import ObjectiveSet from echo.objectives.power import PeakPositivePower from echo.objectives.tariff import ThroughputCost diff --git a/tests/test_utils.py b/tests/test_utils.py index b457e26..7387533 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -1,8 +1,7 @@ import numpy as np import pytest -from echo.utils import (TimeSeriesData, UnexpandableTimeSeriesDataError, - expand_as_array, expand_as_dict) +from echo.utils import TimeSeriesData, UnexpandableTimeSeriesDataError, expand_as_array, expand_as_dict @pytest.mark.parametrize( From d2ddc5f527ad8cf6daf7b451c6d02ba20a993e33 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 16:24:54 +1000 Subject: [PATCH 25/44] Add tests for Port.process_initial_value() --- tests/test_base.py | 30 +++++++++++++++++++++++++++++- 1 file changed, 29 insertions(+), 1 deletion(-) diff --git a/tests/test_base.py b/tests/test_base.py index c8b0ce1..91e3a33 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -1,8 +1,9 @@ import pytest +import numpy as np from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode -from echo.models.base import Node, OptimisationGraph +from echo.models.base import Node, OptimisationGraph, Port from echo.models.electrical import EVV0G, EVV1G, EVV2G, ElectricalGeneration, Inverter from echo.models.prebuilt import FlexElectricalNode from echo.models.scenario import ScenarioSettings, engine_settings_from_environment @@ -11,6 +12,33 @@ from echo.optimiser import optimise +def test_port_proccess_initial_value_types(): + port = Port(port_name="port_name") + + # Assert the initial value is None before it's set + assert port.initial_value is None + + # Assert list of ints is processed + port.process_initial_value(initial_val=[1, 2, 3]) + assert port.initial_value == {(0, 0): 1, (0, 1): 2, (0, 2): 3} + + # Assert list of floats is processed + port.process_initial_value(initial_val=[1.0, 2.0, 3.0]) + assert port.initial_value == {(0, 0): 1.0, (0, 1): 2.0, (0, 2): 3.0} + + # Assert a dict of ints is processed + port.process_initial_value(initial_val={(0, 0): 1, (0, 1): 2, (0, 2): 3}) + assert port.initial_value == {(0, 0): 1, (0, 1): 2, (0, 2): 3} + + # Assert a dict of ints is processed + port.process_initial_value(initial_val={(0, 0): 1.0, (0, 1): 2.0, (0, 2): 3.0}) + assert port.initial_value == {(0, 0): 1.0, (0, 1): 2.0, (0, 2): 3.0} + + # Assert a numpy array of ints is processed + port.process_initial_value(initial_val=np.array([1, 2, 3])) + assert port.initial_value == {(0, 0): 1, (0, 1): 2, (0, 2): 3} + + def test_port_reference_is_made_in_edge(): """This test whether a port on a node and on an edge are references or copies. From 84273a7acc167e4bd08f9001e4f6e9e5529e4e92 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 17:18:03 +1000 Subject: [PATCH 26/44] Added more asserts for process_initial_values --- tests/test_base.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/tests/test_base.py b/tests/test_base.py index 91e3a33..323cefb 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -10,6 +10,7 @@ from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise +from echo.validators import ArrayType def test_port_proccess_initial_value_types(): @@ -38,6 +39,10 @@ def test_port_proccess_initial_value_types(): port.process_initial_value(initial_val=np.array([1, 2, 3])) assert port.initial_value == {(0, 0): 1, (0, 1): 2, (0, 2): 3} + # Assert a numpy array of floats is processed + port.process_initial_value(initial_val=np.array([1.0, 2.0, 3.0])) + assert port.initial_value == {(0, 0): 1.0, (0, 1): 2.0, (0, 2): 3.0} + def test_port_reference_is_made_in_edge(): """This test whether a port on a node and on an edge are references or copies. From 721f9fbddcc6fcc7732f4db6f42aa05bc0c6b6e4 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 17:19:06 +1000 Subject: [PATCH 27/44] Defaults Storage.fixed_storage_capacity to None --- src/echo/models/agnostic.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index 088ea8c..af2a207 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -504,22 +504,22 @@ class Storage(Port): charging_efficiency: float = 1 discharging_efficiency: float = 1 fixed_storage_capacity: bool = True - storage_capacity_cost: PositiveFloat | None + storage_capacity_cost: PositiveFloat | None = None regularise: bool = False initial_state_of_charge: float | None dod_check = root_validator(allow_reuse=True)(dod_checks) @property - def soc_value(self): + def soc_value(self) -> str: return "storage_soc_" + self.port_name @property - def optimised_capacity(self): + def optimised_capacity(self) -> str: return "optimised_storage_capacity_" + self.port_name @property - def soc_constraint(self): + def soc_constraint(self) -> str: return "soc_cons_" + self.port_name def __init__(self, **data): From 5ad3be1296eea8e5291b9653e72526ef314de341 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 17:20:18 +1000 Subject: [PATCH 28/44] Added np.ndarry to allowed types in InitialValueInput --- src/echo/models/base.py | 22 ++++++++++++---------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index b9f94f9..63331c1 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -5,6 +5,7 @@ from typing import Any, cast import networkx as nx +import numpy as np import pandas as pd import pyomo.environ as en import shortuuid @@ -28,7 +29,8 @@ from echo.validators import ArrayType, export_cons_check, import_cons_check ConstraintValueType = ArrayType | float -InitialValue = dict[tuple[int, int], float] | list[int | float] +InitialValue = dict[tuple[int, int], int | float] +InitialValueInput = InitialValue | list[int | float] | np.ndarray class BaseModel(PydanticBaseModel): @@ -111,7 +113,7 @@ def set_flow_constraints( max_import: ConstraintValueType | None, max_export: ConstraintValueType | None, slack: bool | None = False, - ): + ) -> None: """Sets the values of port flow constraints. Args: @@ -132,7 +134,7 @@ def set_flow_constraints( def process_initial_value( self, - initial_val: InitialValue, + initial_val: InitialValueInput, expansion_periods: int = 1, time_periods: int | None = None, ) -> None: @@ -142,17 +144,17 @@ def process_initial_value( elif isinstance(initial_val, str): self.initial_value_ref = initial_val - elif isinstance(initial_val, list): + elif isinstance(initial_val, list | np.ndarray): self.set_initial_value_from_array( array=initial_val, expansion_periods=expansion_periods, time_periods=time_periods, ) - elif not isinstance(initial_val, InitialValue): + else: raise TypeError(f"The initial_value for port: {self.port_name} is not of type InitialValue.") - def verify_port(self): + def verify_port(self) -> None: """Used to verify that a port has been set up appropriately""" if self.flows is Flows.NA: raise ConfigurationError("The flows value cannot be set to a value of NA.") @@ -179,14 +181,14 @@ def verify_port(self): if self.units is Units.NA: raise ConfigurationError("The Units parameter has to be configured before instantiation.") - def _add_flow_variable_to_model(self, model: EchoConcreteModel, initial_value, domain): + def _add_flow_variable_to_model(self, model: EchoConcreteModel, initial_value, domain) -> None: setattr( model, self.port_name, en.Var(model.Expansion, model.Time, initialize=initial_value, domain=domain), ) - def _add_active_period_constraints_to_model(self, model: EchoConcreteModel): + def _add_active_period_constraints_to_model(self, model: EchoConcreteModel) -> None: port_active_periods = self.active_periods def on_off_rule1(model: EchoConcreteModel, p, t): @@ -206,7 +208,7 @@ def on_off_rule2(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=on_off_rule2), ) - def _add_import_constraints_to_model(self, model: EchoConcreteModel): + def _add_import_constraints_to_model(self, model: EchoConcreteModel) -> None: # Add import constraint parameter time_periods = len(model.Time) exp_periods = len(model.Expansion) @@ -455,7 +457,7 @@ def set_initial_value_from_timeseriesdata(self, time_series_data: TimeSeriesData def set_initial_value_from_array( self, - array: list[int | float], + array: list[int | float] | np.ndarray, expansion_periods: int = 1, time_periods: int | None = None, ) -> None: From ae6bba6674bef62fbbd36e359b49e232304ba8a5 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Tue, 9 Jun 2026 17:21:07 +1000 Subject: [PATCH 29/44] Added check that self.usage isn't None. --- src/echo/models/electrical.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index cbfc00c..7f24b5f 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -1,5 +1,4 @@ from typing import cast -from warnings import warn import numpy as np import pandas as pd @@ -60,7 +59,12 @@ def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> if self.curtailable: # Constrain solar gen to be within initial value (max value) - set_var_bounds_from_dict(model=model, var_name=self.port_name, lb=self.initial_value, ub=None) + set_var_bounds_from_dict( + model=model, + var_name=self.port_name, + lb=self.initial_value, + ub=None, + ) class ElectricalStorage(Storage): @@ -223,9 +227,13 @@ def _check_usage_less_than_max_usage(self) -> None: None Raises: + TypeError: if self.usage is None ValueError: if the maximum power usage is greater than max_discharge_rate. """ + if self.usage is None: + raise TypeError("self.usage has not been set, it is still None.") + # Get the maximum power usage max_usage = np.max(np.array(self.usage)) @@ -935,9 +943,6 @@ class EV(TransformNode): def __init__(self, **data) -> None: super().__init__(**data) - # Display deprecation warning - warn("Class EV will be deprecated in future versions. Please use EVV0G, EVV1G, EVV2G or EVDemandProfile.") - # Check that usage is always <= max discharge of battery, otherwise the problem will be infeasible. for i in self.usage: if i > self.discharging_power_limit * -1: From c2b3a4b5365aa7a1f00593bb13b9e19841f75896 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Wed, 10 Jun 2026 17:32:19 +1000 Subject: [PATCH 30/44] Added type hints --- src/echo/models/base.py | 54 +++++++++++++++++++++-------------------- 1 file changed, 28 insertions(+), 26 deletions(-) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 63331c1..2097a46 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -2,7 +2,7 @@ import warnings from collections.abc import Iterable from dataclasses import dataclass -from typing import Any, cast +from typing import Any, Callable, cast import networkx as nx import numpy as np @@ -47,7 +47,7 @@ class Port(BaseModel): # attribute_name: type = default_value units: Units = Units.NA # Used to ensure that common units are being optimised over at points of interconnection - initial_value: InitialValue | None = None + initial_value: dict[tuple[int, int], int | float] | None = None initial_value_ref: str | None = None # string ref to df column initial_value_scaling: int | None = None # scaling factor for initial values flow_type: OptimisationType = OptimisationType.NA @@ -68,42 +68,42 @@ class Port(BaseModel): export_con_sign = validator("export_constraint_value", allow_reuse=True)(export_cons_check) @property - def pos(self): + def pos(self) -> str: return positive_variable_component + self.port_name @property - def neg(self): + def neg(self) -> str: return negative_variable_component + self.port_name @property - def is_pos(self): + def is_pos(self) -> str: return f"is_pos_{self.port_name}" @property - def import_con_val(self): + def import_con_val(self) -> str: return f"import_con_val_{self.port_name}" @property - def export_con_val(self): + def export_con_val(self) -> str: return f"export_con_val_{self.port_name}" @property - def import_slack(self): + def import_slack(self) -> str: return f"import_slack_{self.port_name}" @property - def import_slack_max(self): + def import_slack_max(self) -> str: return f"import_slack_max_{self.port_name}" @property - def export_slack(self): + def export_slack(self) -> str: return f"export_slack_{self.port_name}" @property - def export_slack_max(self): + def export_slack_max(self) -> str: return f"export_slack_max_{self.port_name}" - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) if not self.port_name: # if no name is provided, give it a default name using the uid self.port_name = "port_" + str(self.uid) @@ -151,9 +151,6 @@ def process_initial_value( time_periods=time_periods, ) - else: - raise TypeError(f"The initial_value for port: {self.port_name} is not of type InitialValue.") - def verify_port(self) -> None: """Used to verify that a port has been set up appropriately""" if self.flows is Flows.NA: @@ -230,7 +227,7 @@ def _add_import_constraints_to_model(self, model: EchoConcreteModel) -> None: else: set_var_bounds_from_dict(model=model, var_name=self.port_name, ub=import_constraint_dict, lb=None) - def _add_slack_import_constraints_to_model(self, model: EchoConcreteModel): + def _add_slack_import_constraints_to_model(self, model: EchoConcreteModel) -> None: """Adds import capacity constraint with slack rules""" # Add export capacity slack constraint @@ -273,10 +270,13 @@ def import_cap_slack_max_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=import_cap_slack_max_rule), ) - def _add_export_constraints_to_model(self, model: EchoConcreteModel): + def _add_export_constraints_to_model(self, model: EchoConcreteModel) -> None: + """Add export constraints to the model.""" + # Add export constraint parameter time_periods = len(model.Time) exp_periods = len(model.Expansion) + # Generate an array of constraints (ie indexed by time and expansion period) export_constraint_dict = generate_array_constraint(self.export_constraint_value, time_periods, exp_periods) setattr( @@ -295,7 +295,7 @@ def _add_export_constraints_to_model(self, model: EchoConcreteModel): else: set_var_bounds_from_dict(model=model, var_name=self.port_name, ub=None, lb=export_constraint_dict) - def _add_slack_export_constraints_to_model(self, model: EchoConcreteModel): + def _add_slack_export_constraints_to_model(self, model: EchoConcreteModel) -> None: """Adds import capacity constraint with slack rules""" # Add export capacity slack constraint @@ -436,7 +436,7 @@ def only_pos_or_neg_two(model: EchoConcreteModel, p, t): ) @staticmethod - def factory_pos_neg_flows(var_name, pos_name, neg_name): + def factory_pos_neg_flows(var_name: str, pos_name: str, neg_name: str) -> Callable: def constraint(model: EchoConcreteModel, expansion_interval, time_interval): return getattr(model, var_name)[expansion_interval, time_interval] == ( getattr(model, pos_name)[expansion_interval, time_interval] @@ -445,14 +445,14 @@ def constraint(model: EchoConcreteModel, expansion_interval, time_interval): return constraint - def set_initial_value(self, initial_value: dict): + def set_initial_value(self, initial_value: dict) -> None: """Sets initial port value which will be used to initialise the pyomo var/param Args: initial_value: dict of initial values """ self.initial_value = initial_value - def set_initial_value_from_timeseriesdata(self, time_series_data: TimeSeriesData): + def set_initial_value_from_timeseriesdata(self, time_series_data: TimeSeriesData) -> None: self.set_initial_value(expand_as_dict(time_series_data)) def set_initial_value_from_array( @@ -479,7 +479,9 @@ def set_initial_value_from_array( ) self.set_initial_value_from_timeseriesdata(time_series_data=time_series_data) - def set_active_periods_from_array(self, array: Any, expansion_periods: int = 1, time_periods: int | None = None): + def set_active_periods_from_array( + self, array: Any, expansion_periods: int = 1, time_periods: int | None = None + ) -> None: """Sets port active periods Args: array: array, list of active periods as bool values @@ -495,7 +497,7 @@ def set_active_periods_from_array(self, array: Any, expansion_periods: int = 1, ) self.active_periods = expand_as_dict(time_series_data) - def add_objective(self, model: EchoConcreteModel): + def add_objective(self, model: EchoConcreteModel) -> None: """Populates the port attribute 'objectives' with any pyomo expressions that are needed Args: model: pyomo concrete model @@ -535,16 +537,16 @@ class Transform(BaseModel): lhs: list[TransformTerm] = [] rhs = 0 - def __init__(self, lhs_terms: list[TransformTerm] = [], **data): + def __init__(self, lhs_terms: list[TransformTerm], **data): super().__init__(**data) if lhs_terms: self.lhs = lhs_terms @property - def transform_name(self): + def transform_name(self) -> str: return "transform_" + str(self.uid) - def _add_transform_to_model(self, model: EchoConcreteModel): + def _add_transform_to_model(self, model: EchoConcreteModel) -> None: # Check if we need to create pos/neg components for term in self.lhs: if term.rule is not TransformRule.Both: From b18e0b56ca0136df72e48cc6f7481aa38e87fa58 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Wed, 10 Jun 2026 17:41:55 +1000 Subject: [PATCH 31/44] Updated changelog web address --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 3473f37..4bacd9c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -60,7 +60,7 @@ maintainers = [ #Documentation = "https://PROJECTNAME.readthedocs.io" Repository = "https://github.com/bsip/echo" Issues = "https://github.com/bsgip/echo/issues" -Changelog = "https://github.com/bsgip/echo/blob/master/CHANGELOG.md" +Changelog = "https://github.com/bsgip/echo/blob/main/CHANGELOG.md" [dependency-groups] From 218d3777fe28f57d8ba22407b347272116c4cf7b Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Thu, 11 Jun 2026 16:02:29 +1000 Subject: [PATCH 32/44] Added round to ensure floating point comparison works. --- tests/test_thermal_models_optimisation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_thermal_models_optimisation.py b/tests/test_thermal_models_optimisation.py index 2824885..38de935 100644 --- a/tests/test_thermal_models_optimisation.py +++ b/tests/test_thermal_models_optimisation.py @@ -788,7 +788,7 @@ def test_chiller_with_heat_rejection(): total_waste_heat = round(optimise_results.values(waste_heat_agg.total, 0).sum(), 2) total_cooling_load = round(optimise_results.df_by_port()["cooling_demand_kwt"].sum(), 2) - assert total_waste_heat == -chiller.heat_rejection_coefficient * total_cooling_load + assert total_waste_heat == round(-1 * chiller.heat_rejection_coefficient * total_cooling_load, 1) # Check that observed COP values are within expected range min_cop = min([v for v in chiller.partial_load_cop.values() if v != 0]) * chiller.nominal_cop From 08aa7dd1d41cb04f9e6d9a71cbee692676f43a7c Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Thu, 11 Jun 2026 16:02:56 +1000 Subject: [PATCH 33/44] Updating docstrings and typehints --- src/echo/models/base.py | 331 +++++++++++++++++++++++++++------- src/echo/models/electrical.py | 20 +- 2 files changed, 278 insertions(+), 73 deletions(-) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 2097a46..c6a2424 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -1,3 +1,4 @@ +import abc import copy import warnings from collections.abc import Iterable @@ -5,8 +6,11 @@ from typing import Any, Callable, cast import networkx as nx +from networkx.classes.reportviews import InEdgeDataView import numpy as np import pandas as pd +from pyomo.core import Constraint +from pyomo.core.expr.relational_expr import EqualityExpression, InequalityExpression import pyomo.environ as en import shortuuid from pydantic import BaseModel as PydanticBaseModel @@ -188,10 +192,10 @@ def _add_flow_variable_to_model(self, model: EchoConcreteModel, initial_value, d def _add_active_period_constraints_to_model(self, model: EchoConcreteModel) -> None: port_active_periods = self.active_periods - def on_off_rule1(model: EchoConcreteModel, p, t): + def on_off_rule1(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.port_name)[p, t] <= port_active_periods[p, t] * model.bigM - def on_off_rule2(model: EchoConcreteModel, p, t): + def on_off_rule2(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.port_name)[p, t] >= -port_active_periods[p, t] * model.bigM setattr( @@ -231,7 +235,7 @@ def _add_slack_import_constraints_to_model(self, model: EchoConcreteModel) -> No """Adds import capacity constraint with slack rules""" # Add export capacity slack constraint - def import_cap_rule_slack(model: EchoConcreteModel, p, t): + def import_cap_rule_slack(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return ( getattr(model, self.port_name)[p, t] + getattr(model, self.import_slack)[p, t] <= getattr(model, self.import_con_val)[p, t] @@ -255,7 +259,7 @@ def import_cap_rule_slack(model: EchoConcreteModel, p, t): ) # Add import capacity slack max constraint - def import_cap_slack_max_rule(model: EchoConcreteModel, p, t): + def import_cap_slack_max_rule(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.import_slack)[p, t] >= getattr(model, self.import_slack_max) con_name = "import_con_max_" + self.port_name @@ -299,7 +303,7 @@ def _add_slack_export_constraints_to_model(self, model: EchoConcreteModel) -> No """Adds import capacity constraint with slack rules""" # Add export capacity slack constraint - def export_cap_rule_slack(model: EchoConcreteModel, p, t): + def export_cap_rule_slack(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return ( getattr(model, self.port_name)[p, t] + getattr(model, self.export_slack)[p, t] >= getattr(model, self.export_con_val)[p, t] @@ -322,8 +326,8 @@ def export_cap_rule_slack(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=export_cap_rule_slack), ) - # Add export capacity slack max constraint - def export_cap_slack_max_rule(model: EchoConcreteModel, p, t): + def export_cap_slack_max_rule(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: + """Add export capacity slack max constraint""" return getattr(model, self.export_slack)[p, t] <= getattr(model, self.export_slack_max) con_name = "export_con_max_" + self.port_name @@ -353,7 +357,7 @@ def _determine_initial_value(self, time_periods: int, expansion_periods: int, pr initial_val = self.initial_value return initial_val - def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: """Creates pyomo vars, params, and constraints for the port.""" initial_value = self._determine_initial_value( time_periods=len(model.Time), @@ -380,7 +384,7 @@ def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): if self.active_periods is not None: self._add_active_period_constraints_to_model(model=model) - def constrain_pos_neg(self, model: EchoConcreteModel): + def constrain_pos_neg(self, model: EchoConcreteModel) -> None: """Applies a mixed integer constraint that splits a port var into positive and negative components""" if hasattr(model, self.pos) is False: setattr( @@ -417,7 +421,7 @@ def constrain_pos_neg(self, model: EchoConcreteModel): en.Constraint(model.Expansion, model.Time, rule=con_rule), ) - def only_pos_or_neg_one(model: EchoConcreteModel, p, t): + def only_pos_or_neg_one(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.pos)[p, t] <= getattr(model, self.is_pos)[p, t] * model.bigM setattr( @@ -426,7 +430,7 @@ def only_pos_or_neg_one(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=only_pos_or_neg_one), ) - def only_pos_or_neg_two(model: EchoConcreteModel, p, t): + def only_pos_or_neg_two(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.neg)[p, t] >= (getattr(model, self.is_pos)[p, t] - 1) * model.bigM setattr( @@ -437,7 +441,7 @@ def only_pos_or_neg_two(model: EchoConcreteModel, p, t): @staticmethod def factory_pos_neg_flows(var_name: str, pos_name: str, neg_name: str) -> Callable: - def constraint(model: EchoConcreteModel, expansion_interval, time_interval): + def constraint(model: EchoConcreteModel, expansion_interval: int, time_interval: int) -> EqualityExpression: return getattr(model, var_name)[expansion_interval, time_interval] == ( getattr(model, pos_name)[expansion_interval, time_interval] + getattr(model, neg_name)[expansion_interval, time_interval] @@ -566,52 +570,142 @@ class Node(BaseModel): objective: float | en.numeric_expr.NumericExpression = 0 # For adding any node objectives @property - def inflow(self): + def inflow(self) -> str: return f"inflow_{self.node_name}" - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) if not self.node_name: self.node_name = "node_" + str(self.uid) - def add_port(self, name: str, port: Port): + def add_port(self, name: str, port: Port) -> None: if self.ports.get(name) is None: self.ports[name] = port else: raise ConfigurationError(f"Port with name {name} is already defined on node {self.node_name}") - def add_ports_from_list(self, names: Iterable[str], port_type: type[Port], **kwargs): + def add_ports_from_list(self, names: Iterable[str], port_type: type[Port], **kwargs) -> None: """Creates a set of ports (using port_type) and adds them to this Node. The ports will be constructed using port_type and the supplied kwargs""" + for name in names: self.add_port(name, port_type(**kwargs)) - def get_port(self, port_name: str): - if self.ports.get(port_name) is not None: - return self.ports.get(port_name) + def get_port(self, port_name: str) -> Port: + """Returns the Port object with the name port_name. + + Args: + port_name: The name of the Port. + + Returns: + Port: The port object with the name port_name + """ + + port = self.ports.get(port_name) + + if port is not None: + return port + else: + raise ValueError(f"Port name: {port_name} does not correspond to any Port object.") + + def verify_node(self) -> None: + """Checks there is at least one port associated with this node. + + Raises: + ConfigurationError: If there are no ports present on this node. + """ - def verify_node(self): if bool(self.ports) is False: raise ConfigurationError("A node must have at least one port.") - def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: + """Add this node to a concrete model. + + Args: + model: The concrete model to add the node to. + profile: The data associated with this node. + """ + for port in self.ports.values(): port.verify_port() port.add_port_to_model(model, profile) - def add_objective(self, model: EchoConcreteModel): + # @abc.abstractmethod + def add_objective(self, model: EchoConcreteModel) -> None: + """Define objective/s and add to self.objective. To be overwritten. + + Should be implemented as an expression that needs to be concatanated to self.objective. For example: + + def add_objective(self, model: EchoConcreteModel) -> None: + total = 0 + + if self.regularise is True: + total += ( + sum( + getattr(model, self.flow_value)[p, t] * getattr(model, self.flow_value)[p, t] + for p in model.Expansion + for t in model.Time + ) + * 0.0000001 + ) + + self.objective += total + + Args: + model: The model to add the objective/s to. + + Returns: + None + """ total = 0 self.objective += total - def num_ports(self): + def num_ports(self) -> int: + """Returns the number of ports associated with this node. + + Returns: + The number of ports for this node. + """ + return len(self.ports) - def apply_node_constraints(self, model: EchoConcreteModel): - """This should be overridden in the base class""" + # @abc.abstractmethod + def apply_node_constraints(self, model: EchoConcreteModel) -> None: + """Apply constraints associated with this node to a concrete model. + + Can be overwritten. + + Define constraints as functions that returns a Constraint, EqualityExpression or InequalityExpression. + + Define a subfunction of the form detailed in the example below, then apply with setattr. For example: + + def apply_node_constraints(self, model: EchoConcreteModel) -> None: + def tellegen_node_rule(model: EchoConcreteModel, p: int, t:int) -> EqualityExpression: + a = 0 + for port in node_ports.values(): + a += getattr(model, port.port_name)[p, t] + return a == 0 + + node_ports = self.ports + con_name = "reliability_con_" + self.node_name + setattr(model, con_name, en.Constraint(model.Expansion, model.Time, rule=tellegen_node_rule)) + + Args: + model: The model to add the constraints to. + + Returns: + None + """ + pass - def get_port_name_to_port_dict_name_map(self): + def get_port_name_to_port_dict_name_map(self) -> dict[str, str]: + """Map the port name key in self.ports to the corresponding Port.port_name. + + Returns: + + """ return {port.port_name: port_dict_name for port_dict_name, port in self.ports.items()} @@ -620,44 +714,101 @@ class TransformNode(Node): transformations: dict[str, Transform] = {} - def add_transformation(self, transformation_obj: Transform): + def add_transformation(self, transformation_obj: Transform) -> None: """Adds a transformation object to a node. + Args: - transformation_obj: Transform + transformation_obj: The Transform to be added to the node. + + Returns: + None """ + self.transformations[transformation_obj.uid] = transformation_obj - def add_input_output_transformation(self, input_port: Port, output_port: Port, input_weight: float): + def add_input_output_transformation(self, input_port: Port, output_port: Port, input_weight: float) -> None: + """Adds an input/output transformation to this node. + + Args: + input_port: The input port for the transformation + output_port: The output port for the transformation + input_weight: The weighting for the TransformTerm of the input port. + + Returns: + None + + """ + lhs_terms = [ TransformTerm(var=output_port, rule=TransformRule.Both, weight=1), TransformTerm(var=input_port, rule=TransformRule.Both, weight=-input_weight), ] + t = Transform(lhs_terms=lhs_terms) + self.add_transformation(t) - def add_emission_transformation(self, emitting_port: Port, carbon_port: Port, emission_factor: float): + def add_emission_transformation(self, emitting_port: Port, carbon_port: Port, emission_factor: float) -> None: """Creates an emission transformation and adds to the node. + Args: emitting_port: port object that generates emissions when exporting (when negative) carbon_port: port object that represents carbon flows out of the node emission_factor: a ratio = emissions generated/emitting unit generated (float), or an array of values + + Returns: + None """ + lhs_terms = [ TransformTerm(var=carbon_port, rule=TransformRule.Neg, weight=1), TransformTerm(var=emitting_port, rule=TransformRule.Neg, weight=-emission_factor), ] + t = Transform(lhs_terms=lhs_terms) + self.add_transformation(t) - def verify_node(self): + def verify_node(self) -> None: + """Checks if the node has ports (super), and if the node has transformations. + + Returns: + None + + Raises: + ConfigurationError: If no transformations are associated with this node. + """ + super().verify_node() if not self.transformations: raise ConfigurationError("Node has Transform rule but Transformation object(s) has not been added to node.") def apply_node_constraints(self, model: EchoConcreteModel): - def transform(model: EchoConcreteModel, p, t): # Generic transformation node + """Add the constraints assoicated with this node to a concrete model. + + Args: + model: The concrete model the constraints associated with this node will be added to. + + """ + + def transform(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: + """Generate a transform rule for a generic transformation node. + + Args: + model: The concrete model from which to draw data. + p: Index representing capacity expansion + t: Index representing time. + + Returns: + EqualityExpression: The transform rule. + + Raises: + Exception: If an improper TransformRule is used. + """ + lhs = 0 + for term in current_transform.lhs: weight = expand_as_array( TimeSeriesData( @@ -700,20 +851,33 @@ class Edge(BaseModel): nodes: tuple[str, str] | None # tuple of node names - todo make this required tariff: list | None | None - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) if self.edge_name is None: self.edge_name = "edge_" + str(self.uid) - def add_vertices(self, obj1: Port, obj2: Port): + def add_vertices(self, obj1: Port, obj2: Port) -> None: """Adds edge vertices (which are ports on nodes) + Args: obj1: port object obj2: port object + + Returns: + None """ self.vertices = (obj1, obj2) - def verify_edge(self): + def verify_edge(self) -> None: + """Verifies that flows on ports associated with either end of an edge are the same. + + Returns: + None + + Raises: + ConfigurationError: If the flows on the ports at either end of an edge are not the same. + """ + port1 = self.vertices[0] port2 = self.vertices[1] @@ -722,17 +886,34 @@ def verify_edge(self): if (port1.flows is Flows.Import) and (port2.flows is Flows.Import): raise ConfigurationError("Port flow constraints do not allow any flow along the edge.") - def add_edge_to_model(self, model: EchoConcreteModel): - """Applies edge constraint: ``port1 = -1 *port2`` + def add_edge_to_model(self, model: EchoConcreteModel) -> None: + """Applies edge constraint: ``port1 = -1 *port2`` to a concrete model. Args: model: pyomo concrete model + + Returns: + None """ port1 = self.vertices[0] port2 = self.vertices[1] - def edge_constraint_rule(model: EchoConcreteModel, p, t): + def edge_constraint_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: + """Generates the edge constraint rule. + + Args: + model: The concrete model from which to draw data. + p: Index representing capacity expansion + t: Index representing time. + + Returns: + EqualityExpression: The transform rule. + + Raises: + Exception: If an improper TransformRule is used. + """ + return getattr(model, port1.port_name)[p, t] + getattr(model, port2.port_name)[p, t] == 0 con_name = "edge_con_" + port1.port_name + "_" + port2.port_name @@ -742,21 +923,35 @@ def edge_constraint_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=edge_constraint_rule), ) - def get_max_flow_along_edge(self, forwards: bool = True): + def get_max_flow_along_edge(self, forwards: bool = True) -> ConstraintValueType | None: + """Returns the max flow along an edge. + + Args: + forwards: True is flow is from the 0th port to the 1st port in self.vertices. False if from 1st to the 0th. + Defaults to True. + + Returns: + ConstraintValueType: The max flow across this edge. + """ + max_flow = None + if forwards is True: port1 = self.vertices[0] port2 = self.vertices[1] else: port1 = self.vertices[1] port2 = self.vertices[0] + if port1.export_constraint_value is not None: max_flow = port1.export_constraint_value + if port2.import_constraint_value is not None: if max_flow is not None: max_flow = min(max_flow, port2.import_constraint_value) else: max_flow = port2.import_constraint_value + return max_flow @@ -777,25 +972,25 @@ class Path(BaseModel): path_tariff: str | None slack: str | None - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) if self.path_name is None: self.path_name = "path_" + str(self.uid) self.flow_value = "flow_value_" + self.path_name - def add_vertices(self, vertex_list: list): + def add_vertices(self, vertex_list: list) -> None: if hasattr(vertex_list[0], "node_name"): vertex_list = [i.node_name for i in vertex_list] self.vertices = vertex_list - def add_path_to_model(self, model: EchoConcreteModel): + def add_path_to_model(self, model: EchoConcreteModel) -> None: setattr( model, self.flow_value, en.Var(model.Expansion, model.Time, initialize=0, domain=en.NonNegativeReals), ) - def add_objective(self, model: EchoConcreteModel): + def add_objective(self, model: EchoConcreteModel) -> None: total = 0 if self.regularise is True: @@ -816,13 +1011,13 @@ class OptimisationGraph(BaseModel): edge_obj: dict[tuple[str, str], Edge] = {} paths: dict[tuple, Path] = {} - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) - def node_name_list(self): + def node_name_list(self) -> list[str]: return list(self.node_obj.keys()) - def edge_list(self): + def edge_list(self) -> list[str]: return list(self.edge_obj.keys()) def convert_to_nx(self) -> nx.Graph: @@ -833,26 +1028,26 @@ def convert_to_nx(self) -> nx.Graph: g.add_edges_from(self.edge_obj.keys()) return g - def _add_single_node(self, node_obj: Node): + def _add_single_node(self, node_obj: Node) -> None: validate( node_obj.node_name not in self.node_obj, f"Node '{node_obj.node_name}' already defined", ) self.node_obj[node_obj.node_name] = node_obj - def delete_node(self, node_name: str): + def delete_node(self, node_name: str) -> None: if self.get_node(node_name) is not None: del self.node_obj[node_name] else: print(f"Node {node_name} not found.") - def delete_edge(self, edge_nodes: tuple[str, str]): + def delete_edge(self, edge_nodes: tuple[str, str]) -> None: if self.get_edge(edge_nodes) is not None: del self.edge_obj[edge_nodes] else: print(f"Edge {edge_nodes} not found.") - def add_node_obj(self, node: list | Node): + def add_node_obj(self, node: list | Node) -> None: """Adds either a single node or list of nodes to graph""" # todo phase out this method if isinstance(node, list): @@ -861,20 +1056,20 @@ def add_node_obj(self, node: list | Node): else: self._add_single_node(node) - def add_nodes_from(self, nodes: list[Node]): + def add_nodes_from(self, nodes: list[Node]) -> None: """Adds a list of nodes to the graph.""" for n in nodes: self._add_single_node(n) - def add_node(self, node: Node): + def add_node(self, node: Node) -> None: """Adds a single node to the graph.""" self._add_single_node(node) - def get_node(self, node_name: str): + def get_node(self, node_name: str) -> Node | None: """Returns node object given node name""" return self.node_obj.get(node_name) - def get_edge(self, nodes: tuple[str, str], warn: bool = False): + def get_edge(self, nodes: tuple[str, str], warn: bool = False) -> Edge | None: """Retrieves the edge that connects a tuple of nodes, if an edge exists.""" if self.edge_obj.get(nodes) is not None: return self.edge_obj.get(nodes) @@ -886,7 +1081,7 @@ def get_edge(self, nodes: tuple[str, str], warn: bool = False): elif warn: print(f"Edge between {nodes[0]} and {nodes[1]} does not exist") - def _add_single_edge(self, edge_obj: Edge): + def _add_single_edge(self, edge_obj: Edge) -> None: port1 = edge_obj.vertices[0] port2 = edge_obj.vertices[1] validate( @@ -906,7 +1101,7 @@ def _add_single_edge(self, edge_obj: Edge): self.edge_obj[(node1_name, node2_name)] = edge_obj - def add_edge_obj(self, edge: list[Edge] | Edge): + def add_edge_obj(self, edge: list[Edge] | Edge) -> None: # todo phase out this method if isinstance(edge, list): for e in edge: @@ -914,11 +1109,11 @@ def add_edge_obj(self, edge: list[Edge] | Edge): else: self._add_single_edge(edge) - def add_edges_from(self, edge: list[Edge]): + def add_edges_from(self, edge: list[Edge]) -> None: for e in edge: self._add_single_edge(e) - def add_edge(self, edge: Edge): + def add_edge(self, edge: Edge) -> None: self._add_single_edge(edge) def connect_ports_and_create_edge( @@ -928,7 +1123,7 @@ def connect_ports_and_create_edge( edge_name: str | None = None, nodes: tuple[str] | None = None, warn: bool = False, - ): + ) -> None: """Creates an edge between port1 and port2 and adds it to the graph""" if nodes is None and warn is True: print("No edge nodes defined. Defining edge nodes here speeds up constructing of echo graph.") @@ -988,7 +1183,7 @@ def get_ports_on_edge_from_nodes(self, node1: str, node2: str) -> tuple[Port, Po return None - def get_sources_and_sinks(self): + def get_sources_and_sinks(self) -> set[Node]: """Returns a set that contains all source and sink nodes.""" validate( bool(self.paths) is True, @@ -1027,21 +1222,27 @@ def create_path_objects( sinks: list[Node] | list[str], path_unit: Units = Units.KW, regularise: bool = False, - ): + ) -> None: """Creates path objects according to source/sink lists provided.""" + warnings.warn( "Path tracing is still experimental. If you are generating paths to use path tariffs, please consider " - + "whether you can convert these tariffs to point/port tariffs." + + "whether you can convert these tariffs to point/port tariffs.", + stacklevel=1, ) + all_paths = {} graph = self.convert_to_nx() + if isinstance(sources[0], Node): sources = [cast(Node, i).node_name for i in sources] + if isinstance(sinks[0], Node): sinks = [cast(Node, i).node_name for i in sinks] tellegen_node_set = set() # create a set to store list of nodes that are treated as tellegen nodes source_sink_set = set(sources + sinks) # create a set of nodes that are treated as sinks/sources + for source_node in sources: for sink_node in sinks: if source_node is not sink_node: @@ -1054,13 +1255,15 @@ def create_path_objects( all_paths[tuple(vertex_list)] = p intersection = source_sink_set.intersection(tellegen_node_set) # check overlap of tellegen and src/sink nodes + validate( len(intersection) == 0, f"Nodes '{intersection}' are being treated as both tellegen and source/sink.", ) + self.paths = all_paths - def _create_path_object(self, vertex_list: list, edge_list: list, regularise: bool, path_unit: Units): + def _create_path_object(self, vertex_list: list, edge_list: list, regularise: bool, path_unit: Units) -> Path: """Creates a path object""" p = Path(vertices=vertex_list, regularise=regularise, units=path_unit) # Create path object for edge in edge_list: @@ -1314,10 +1517,12 @@ def inject_data_into_ev( None """ + node_attributes = { "available": available, "usage": usage, "initial_state_of_charge": initial_state_of_charge, "interval_duration": interval_duration, } + self.update_node(node_name=node_name, **node_attributes) diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index 7f24b5f..93fd293 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -1,11 +1,12 @@ from typing import cast +from deprecated import deprecated import numpy as np import pandas as pd +from pydantic import Field, NonNegativeFloat import pyomo.environ as en +from pyomo.core.expr.relational_expr import EqualityExpression import shortuuid -from deprecated import deprecated -from pydantic import Field, NonNegativeFloat from echo.configuration import ( EVChargeMode, @@ -1030,7 +1031,7 @@ def update( usage: ArrayType | list | str | None = None, initial_state_of_charge: float | None = None, interval_duration: int | None = None, - ): + ) -> None: self.__init__( node_name=self.node_name, uid=self.uid, @@ -1056,7 +1057,7 @@ def update( port_dict_name_to_port_name_map=self.port_dict_name_to_port_name_map, ) - def create_ev_transformation(self): + def create_ev_transformation(self) -> Transform: # Create appropriate transformation: vehicle = cp - usage lhs_terms = [ TransformTerm(var=self.ports["vehicle"], rule=TransformRule.Both, weight=1), @@ -1089,7 +1090,7 @@ def process_V0G_charging(self, interval_duration: float): self.charge_status = EVChargeStatus.Feasible if success else EVChargeStatus.Infeasible self.V0G_trip_infeasibility = trip_infeasibility - def V0G_charging(self, interval_duration: float, force_conv=False): + def V0G_charging(self, interval_duration: float, force_conv=False) -> None: """Convert V0G vehicle (convenience charging) to a soc profile and a power profile if possible.""" if (self.tod_charging is not None) and (not force_conv): self.available = self.available * self.tod_charging @@ -1119,7 +1120,7 @@ def V0G_charging(self, interval_duration: float, force_conv=False): return success, soc[1:], delta, trip_infeasibility - def verify_node(self): + def verify_node(self) -> None: super().verify_node() if self.charge_mode == EVChargeMode.V0G: validate( @@ -1136,7 +1137,7 @@ def verify_node(self): "EV usage port needs usage profile added.", ) - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: super().add_node_to_model(model, profile) if self.charge_mode == EVChargeMode.V0G: # Fix the battery state of charge, the slack variable, and battery charging/discharging @@ -1229,9 +1230,8 @@ def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: # Split ac port into pos/neg, so we can apply the correct efficiencies ac_port.constrain_pos_neg(model) - def inverter_ac_output_must_track_efficiency( - model: EchoConcreteModel, p, t - ) -> None: # Apply efficiency constraints + def inverter_ac_output_must_track_efficiency(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: + """Apply efficiency constraints""" dc_total = 0 for dc_port_name in self.dc_port_names: dc_port = self.ports[dc_port_name] From b263e2af309642df4db2d5a72815519dd7de6871 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Thu, 11 Jun 2026 16:03:56 +1000 Subject: [PATCH 34/44] Autoformatting --- src/echo/models/base.py | 9 +++------ src/echo/models/electrical.py | 6 +++--- tests/test_base.py | 3 +-- 3 files changed, 7 insertions(+), 11 deletions(-) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index c6a2424..95f6c00 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -1,20 +1,17 @@ -import abc import copy import warnings -from collections.abc import Iterable +from collections.abc import Callable, Iterable from dataclasses import dataclass -from typing import Any, Callable, cast +from typing import Any, cast import networkx as nx -from networkx.classes.reportviews import InEdgeDataView import numpy as np import pandas as pd -from pyomo.core import Constraint -from pyomo.core.expr.relational_expr import EqualityExpression, InequalityExpression import pyomo.environ as en import shortuuid from pydantic import BaseModel as PydanticBaseModel from pydantic import Field, validator +from pyomo.core.expr.relational_expr import EqualityExpression, InequalityExpression from echo.configuration import FlowConstraint, Flows, OptimisationType, TransformRule, Units from echo.constants import negative_variable_component, positive_variable_component diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index 93fd293..fc1a276 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -1,12 +1,12 @@ from typing import cast -from deprecated import deprecated import numpy as np import pandas as pd -from pydantic import Field, NonNegativeFloat import pyomo.environ as en -from pyomo.core.expr.relational_expr import EqualityExpression import shortuuid +from deprecated import deprecated +from pydantic import Field, NonNegativeFloat +from pyomo.core.expr.relational_expr import EqualityExpression from echo.configuration import ( EVChargeMode, diff --git a/tests/test_base.py b/tests/test_base.py index 323cefb..137c203 100644 --- a/tests/test_base.py +++ b/tests/test_base.py @@ -1,5 +1,5 @@ -import pytest import numpy as np +import pytest from echo.configuration import Units from echo.models.agnostic import FlexPort, TellegenNode @@ -10,7 +10,6 @@ from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ImportTariff from echo.optimiser import optimise -from echo.validators import ArrayType def test_port_proccess_initial_value_types(): From 9e45b7c3fa2f99fb9586c919cd751a4a47560a8b Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Fri, 12 Jun 2026 15:44:29 +1000 Subject: [PATCH 35/44] Updated type hints --- src/echo/models/carbon.py | 12 +++++++----- src/echo/models/gas.py | 10 ++++++---- 2 files changed, 13 insertions(+), 9 deletions(-) diff --git a/src/echo/models/carbon.py b/src/echo/models/carbon.py index d846283..00e26f9 100644 --- a/src/echo/models/carbon.py +++ b/src/echo/models/carbon.py @@ -1,3 +1,5 @@ +import pandas as pd +from pyomo.core.expr import EqualityExpression import pyomo.environ as en from echo.configuration import Flows, Units @@ -28,19 +30,19 @@ class CarbonAggregation(Node): """This node has an additional variable, 'total', which equals the sum of all ports defined on the node.""" @property - def total(self): + def total(self) -> str: return "total_CO2_" + self.node_name - def verify_node(self): + def verify_node(self) -> None: super().verify_node() - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_node_to_model(model, profile) # Create a variable for the total CO2 setattr(model, self.total, en.Var(model.Expansion, model.Time, initialize=0, domain=en.Reals)) - def apply_node_constraints(self, model: EchoConcreteModel): - def sum_rule(model: EchoConcreteModel, p, t): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: + def sum_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: a = 0 for port in self.ports.values(): a += getattr(model, port.port_name)[p, t] diff --git a/src/echo/models/gas.py b/src/echo/models/gas.py index 66dd15d..ca7f97f 100644 --- a/src/echo/models/gas.py +++ b/src/echo/models/gas.py @@ -1,3 +1,5 @@ +import pandas as pd +from pyomo.core.expr import EqualityExpression import pyomo.environ as en from pydantic import NonNegativeFloat, root_validator @@ -55,7 +57,7 @@ def set_ports(self, gas_input_port: OffOrConstrainedPort, thermal_output_port: F def apply_node_constraints(self, model: EchoConcreteModel) -> None: super().apply_node_constraints(model) - def node_constraint(model: EchoConcreteModel, p, t): + def node_constraint(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: p_in = getattr(model, self.ports[self.input_port_ref].port_name) p_out = getattr(model, self.ports[self.output_port_ref].port_name) if p == 0 and t == 0: @@ -111,7 +113,7 @@ def __init__(self, **data) -> None: self.return_t = "inlet_temp_" + self.node_name self.exit_t = "outlet_temp_" + self.node_name - def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_node_to_model(model, profile) # Define exit and return temperature variables and bound these appropriately setattr( @@ -130,7 +132,7 @@ def apply_node_constraints(self, model: EchoConcreteModel) -> None: input_kw = getattr(model, self.ports[self.input_port_ref].port_name) output_kw = getattr(model, self.ports[self.output_port_ref].port_name) - def constraint2(model: EchoConcreteModel, p, t): + def constraint2(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """return temp at time t - exiting temp at time t == energy removed at t""" return ( getattr(model, self.return_t)[p, t] - getattr(model, self.exit_t)[p, t] @@ -140,7 +142,7 @@ def constraint2(model: EchoConcreteModel, p, t): model, "boiler_temp_con2_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=constraint2) ) - def constraint3(model: EchoConcreteModel, p, t): + def constraint3(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """exiting temp at time t = return temp at time t + energy added at time t""" return ( input_kw[p, t] From 01dd275d0cae01ae0ea3503ac85e3602d7747474 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Fri, 12 Jun 2026 15:44:43 +1000 Subject: [PATCH 36/44] Updated type hints --- src/echo/models/base.py | 54 +++++++++++++++++++++++------------------ 1 file changed, 30 insertions(+), 24 deletions(-) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 95f6c00..185f93b 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -1,3 +1,4 @@ +from __future__ import annotations # Deprecating in python 3.15 in favour of lazy annotations (PEP 649 and 749) import copy import warnings from collections.abc import Callable, Iterable @@ -781,7 +782,7 @@ def verify_node(self) -> None: if not self.transformations: raise ConfigurationError("Node has Transform rule but Transformation object(s) has not been added to node.") - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: """Add the constraints assoicated with this node to a concrete model. Args: @@ -814,7 +815,9 @@ def transform(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: num_time_intervals=len(model.Time), ) ) + rule = term.rule + if rule is TransformRule.Both: var_name = term.var.port_name elif rule is TransformRule.Pos: @@ -823,7 +826,9 @@ def transform(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: var_name = term.var.neg else: raise Exception(f"Unsupported transform rule {rule} for term {term}") + lhs += getattr(model, var_name)[p, t] * weight[p, t] + return lhs == current_transform.rhs for current_transform in self.transformations.values(): @@ -1192,7 +1197,7 @@ def get_sources_and_sinks(self) -> set[Node]: sources_or_sinks.add(path.vertices[-1]) return sources_or_sinks - def get_path(self, path_vertices: list[Node] | list[str]): + def get_path(self, path_vertices: list[Node] | list[str]) -> Path: """Looks up a path using a list of path vertices (nodes, or node names).""" if isinstance(path_vertices[0], Node): name_key = [cast(Node, node).node_name for node in path_vertices] @@ -1203,7 +1208,7 @@ def get_path(self, path_vertices: list[Node] | list[str]): else: raise ValueError(f"No path with vertices {path_vertices} is defined.") - def verify_paths(self): + def verify_paths(self) -> None: """Verifies that our paths meet the assumptions required to correctly do flow tracing.""" all_nodes = self.get_sources_and_sinks() for node in all_nodes: @@ -1272,10 +1277,10 @@ def _create_path_object(self, vertex_list: list, edge_list: list, regularise: bo p.edge_ports.append(edge_ports) return p - def apply_path_constraints(self, model: EchoConcreteModel): + def apply_path_constraints(self, model: EchoConcreteModel) -> None: """Applies path tracing constraints to model""" - def path_flow_rule(model: EchoConcreteModel, p, t): + def path_flow_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: a = 0 for path in self.paths.values(): # Iterate through all paths in the model if path.vertices[0] is current_node_name: # If the path starts at the current node @@ -1284,7 +1289,7 @@ def path_flow_rule(model: EchoConcreteModel, p, t): a -= getattr(model, path.flow_value)[p, t] # Subtract the flow value return a == getattr(model, current_port.port_name)[p, t] * -1 # Flows out - flows in = -1 * port - def only_inflow_or_outflow1(model: EchoConcreteModel, p, t): + def only_inflow_or_outflow1(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: a = 0 for path in self.paths.values(): if path.vertices[-1] is current_node_name: # If the path ends at the current node @@ -1293,7 +1298,7 @@ def only_inflow_or_outflow1(model: EchoConcreteModel, p, t): a <= getattr(model, current_node_obj.inflow)[p, t] * model.bigM ) # Incoming paths can only be non-zero if inflow=1 - def only_inflow_or_outflow2(model: EchoConcreteModel, p, t): + def only_inflow_or_outflow2(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: a = 0 for path in self.paths.values(): if path.vertices[0] is current_node_name: # If the path starts at the node @@ -1339,7 +1344,7 @@ def only_inflow_or_outflow2(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=only_inflow_or_outflow2), ) - def draw_on_axes(self, axes, with_labels=False, labels=None, **kwargs): + def draw_on_axes(self, axes, with_labels=False, labels=None, **kwargs) -> None: """Draws the network on a matplotlib plot Args: @@ -1373,36 +1378,36 @@ def to_cytoscape_json(self) -> str: """Converts the optimisation graph to json that can be read by cytoscape (https://js.cytoscape.org/)""" import json - G = self.convert_to_nx() + graph = self.convert_to_nx() nodes = [] - for node in G.nodes(): + for node in graph.nodes(): nodes.append({"data": {"id": node}}) - for n1, n2 in G.edges(): + for n1, n2 in graph.edges(): nodes.append({"data": {"id": f"{n1}_{n2}", "source": n1, "target": n2}}) return json.dumps(nodes) - def print_port_names(self): + def print_port_names(self) -> None: """Prints port name-uid pairs, useful for debugging infeasible optimisation""" for n in self.node_obj.values(): for pn, p in n.ports.items(): print(pn, ", ", p.port_name) - def get_port_names_from_nodes(self): + def get_port_names_from_nodes(self) -> set[str]: output = set() for n in self.node_obj.values(): - for pn, p in n.ports.items(): + for p in n.ports.values(): output.add(p.port_name) return output - def get_port_names_from_edges(self): + def get_port_names_from_edges(self) -> set[str]: output = set() for e in self.edge_obj.values(): output.add(e.vertices[0].port_name) output.add(e.vertices[1].port_name) return output - def verify_graph(self): + def verify_graph(self) -> None: """Checks that the graph is connected (all nodes have at least one edge), and warns if there are unconnected ports""" validate(nx.is_connected(self.convert_to_nx()) is True, "Graph is not connected.") @@ -1413,10 +1418,11 @@ def verify_graph(self): if len(diff) != 0: warnings.warn( f"Ports {diff} are defined on nodes but are not part of an edge. " - "This may cause erroneous optimisation results." + "This may cause erroneous optimisation results.", + stacklevel=1, ) - def split_graph_on_edge(self, node1: str, node2: str): + def split_graph_on_edge(self, node1: str, node2: str) -> tuple[OptimisationGraph, OptimisationGraph]: """Splits a graph between node1 and node 2, and returns two echo optimisation graphs. The ports on the split edge are kept in the two new graphs.""" system = self.convert_to_nx() @@ -1434,7 +1440,7 @@ def split_graph_on_edge(self, node1: str, node2: str): g1_subgraph = system.subgraph(g1_nodes) g2_subgraph = system.subgraph(g2_nodes) - def create_new_graph(nodes: list, edges: list): + def create_new_graph(nodes: list, edges: list) -> OptimisationGraph: """Creates a new graph from a list of node names and edge names""" new_graph = OptimisationGraph() for n in nodes: @@ -1447,12 +1453,12 @@ def create_new_graph(nodes: list, edges: list): return new_graph - G1 = create_new_graph(g1_subgraph.nodes, g1_subgraph.edges) - G2 = create_new_graph(g2_subgraph.nodes, g2_subgraph.edges) + graph1 = create_new_graph(g1_subgraph.nodes, g1_subgraph.edges) + graph2 = create_new_graph(g2_subgraph.nodes, g2_subgraph.edges) - return G1, G2 + return graph1, graph2 - def update_node(self, node_name: str, **kwargs): + def update_node(self, node_name: str, **kwargs) -> None: # Update the edge associated with the EV found_edge = None for edge in self.edge_list(): @@ -1496,7 +1502,7 @@ def inject_data_into_ev( usage: ArrayType | list | str | None = None, initial_state_of_charge: float | None = None, interval_duration: int | None = None, - ): + ) -> None: """Injects stateful data into an EV node in an OptimisationGraph. This is a convenience method to be used for networks constructed by MESNetwork.to_echo(). It will update From cc97495fe5b2ab418ad0698c54f13688dffcb8f6 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Fri, 12 Jun 2026 20:26:03 +1000 Subject: [PATCH 37/44] Updated type hints --- src/echo/models/thermal.py | 34 +++++++++++++++++++++------------- 1 file changed, 21 insertions(+), 13 deletions(-) diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index 947a8bc..c9df80b 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -1,4 +1,5 @@ import pandas as pd +from pyomo.core.expr import EqualityExpression, InequalityExpression import pyomo.environ as en from pydantic import NegativeFloat, NonNegativeFloat, PositiveFloat, root_validator, validator from scipy import interpolate @@ -1446,7 +1447,7 @@ def _apply_only_heat_or_cool_constraints(self, model: EchoConcreteModel, binary_ is_cooling = getattr(model, binary_var_name) # binary var for whether we are cooling power_in = getattr(model, self.ports[self.electrical_input_port_ref].port_name) # input electrical power - def only_heat_or_cool1(model: EchoConcreteModel, p, t): + def only_heat_or_cool1(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """Constraint power_to_heat variable. power_to_heat=0 when is_cooling=1. power_to_heat is positive real =< bigM value when is_cooling=0""" return getattr(model, self.power_to_heat)[p, t] <= (1 - is_cooling[p, t]) * model.bigM @@ -1457,7 +1458,7 @@ def only_heat_or_cool1(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=only_heat_or_cool1), ) - def only_heat_or_cool2(model: EchoConcreteModel, p, t): + def only_heat_or_cool2(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """Constraint power_to_cool variable. power_to_cool=0 when is_cooling=0. power_to_cool is positive real =< bigM value when is_cooling=1""" return getattr(model, self.power_to_cool)[p, t] <= is_cooling[p, t] * model.bigM @@ -1468,13 +1469,13 @@ def only_heat_or_cool2(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=only_heat_or_cool2), ) - def sum_rule(model: EchoConcreteModel, p, t): + def sum_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Electrical power input used for heating and for cooling must sum to total electrical power input""" return power_in[p, t] == getattr(model, self.power_to_heat)[p, t] + getattr(model, self.power_to_cool)[p, t] setattr(model, "sum_heat_cool_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=sum_rule)) - def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel): + def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel) -> None: """Get heating and cooling COP (coefficient of performance) scaling factor for each interval. Calculate value of the temperature_cop_factor parameter using numpy linear interpolation function. @@ -1531,13 +1532,17 @@ def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel ) def _set_piecewise_linear_cooling_cop_constraint( - self, model: EchoConcreteModel, power_to_cool_var: str, cooling_out_var: str - ): + self, + model: EchoConcreteModel, + power_to_cool_var: str, + cooling_out_var: str, + ) -> None: xvar = getattr(model, power_to_cool_var) yvar = getattr(model, cooling_out_var) xdata = self.input_points_cooling ydata = self.output_points_cooling con_name = "piecewise_con_cooling_" + self.node_name + setattr( model, con_name, @@ -1555,8 +1560,11 @@ def _set_piecewise_linear_cooling_cop_constraint( ) def _set_piecewise_linear_heating_cop_constraint( - self, model: EchoConcreteModel, power_to_heat_var: str, heating_out_var: str - ): + self, + model: EchoConcreteModel, + power_to_heat_var: str, + heating_out_var: str, + ) -> None: xvar = getattr(model, power_to_heat_var) yvar = getattr(model, heating_out_var) xdata = self.input_points_heating @@ -1585,7 +1593,7 @@ def _set_input_points_cooling(self, model: EchoConcreteModel): # get parameter holding temperature dependent COP (coefficient of performance) factor temperature_cop_param = getattr(model, self.temperature_cop_cooling_param) - def input_point(k, v): + def input_point(k: float, v: float) -> float: if v == 0: return 0 else: @@ -1597,7 +1605,7 @@ def input_point(k, v): for t in range(len(model.Time)) } - def _set_output_points_cooling(self, model: EchoConcreteModel): + def _set_output_points_cooling(self, model: EchoConcreteModel) -> None: """Output breakpoints are partial cooling load values (% of max capacity)""" self.output_points_cooling = { (p, t): [k * self.max_cooling_capacity for k in self.partial_load_cop_cooling.keys()] @@ -1605,14 +1613,14 @@ def _set_output_points_cooling(self, model: EchoConcreteModel): for t in range(len(model.Time)) } - def _set_input_points_heating(self, model: EchoConcreteModel): + def _set_input_points_heating(self, model: EchoConcreteModel) -> None: """Input breakpoints are input electrical power values calculated as heating_output/(COP_nominal*partial_load_correction) and scaled by 1/temperature_cop_param value""" # get parameter holding temperature dependent COP (coefficient of performance) factor temperature_cop_param = getattr(model, self.temperature_cop_heating_param) - def input_point(k, v): + def input_point(k: float, v: float) -> float: if v == 0: return 0 else: @@ -1624,7 +1632,7 @@ def input_point(k, v): for t in range(len(model.Time)) } - def _set_output_points_heating(self, model: EchoConcreteModel): + def _set_output_points_heating(self, model: EchoConcreteModel) -> None: """Output breakpoints are partial heating load values (% of max capacity). Need to multiply by -1, heating is negative flow of the thermal port. From 1ae25d6fc372b12931fcc0f3445ff117fc303a9d Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Mon, 15 Jun 2026 14:42:46 +1000 Subject: [PATCH 38/44] Updated type hints --- src/echo/models/thermal.py | 230 ++++++++++++++++++------------------- 1 file changed, 115 insertions(+), 115 deletions(-) diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index c9df80b..8f144e3 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -39,7 +39,7 @@ class SimpleChiller(Node): electrical_input_port_ref: str = "input" thermal_output_port_ref: str = "output" - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) # Constraint flow of the thermal port if self.max_cooling_capacity: @@ -60,7 +60,7 @@ def __init__(self, **data): import_constraint_value=thermal_import_constraint_value, ) - def set_ports(self, electrical_input_port: FlexSink, thermal_output_port: FlexPort): + def set_ports(self, electrical_input_port: FlexSink, thermal_output_port: FlexPort) -> None: # Discard existing ports self.ports.clear() @@ -70,14 +70,14 @@ def set_ports(self, electrical_input_port: FlexSink, thermal_output_port: FlexPo self.ports[self.electrical_input_port_ref] = electrical_input_port self.ports[self.thermal_output_port_ref] = thermal_output_port - def update(self, cooling_cop_time_series): + def update(self, cooling_cop_time_series) -> None: self.cooling_cop_time_series = cooling_cop_time_series @property - def cooling_cop(self): + def cooling_cop(self) -> str: return "cooling_cop_" + self.node_name - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: # Load coefficient of performance values from profile (if provided by reference) self._load_cop_values_from_profile(model, profile) super().add_node_to_model(model, profile) @@ -87,17 +87,17 @@ def add_node_to_model(self, model: EchoConcreteModel, profile): en.Param(model.Expansion, model.Time, initialize=self.cooling_cop_time_series, domain=en.NonNegativeReals), ) - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: # Get variable names for heating and cooling output depending on thermal ports configuration self._apply_node_transformation_constraints(model) - def _apply_node_transformation_constraints(self, model: EchoConcreteModel): + def _apply_node_transformation_constraints(self, model: EchoConcreteModel) -> None: cooling_out = getattr( model, self.ports[self.thermal_output_port_ref].port_name ) # cooling delivered at thermal port cooling_cop = getattr(model, self.cooling_cop) - def cooling_output_rule(model: EchoConcreteModel, p, t): + def cooling_output_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Thermal port flow values are positive in cooling mode. cooling_out = power_input * cooling cop """ @@ -111,7 +111,7 @@ def cooling_output_rule(model: EchoConcreteModel, p, t): model, "cool_con_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=cooling_output_rule) ) - def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame): + def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame) -> None: """When coefficient of performance timeseries is set by str reference, load values from profile.""" if self.cooling_cop_time_series_ref: @@ -127,7 +127,7 @@ def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd ) self._set_constant_cop_values(model) - def _set_constant_cop_values(self, model: EchoConcreteModel): + def _set_constant_cop_values(self, model: EchoConcreteModel) -> None: """If cooling_cop_time_series dictionary is not defined otherwise, use constant cop value""" if not self.cooling_cop_time_series: self.cooling_cop_time_series = expand_as_dict( @@ -183,18 +183,18 @@ class ParameterisedChiller(TimeVaryingPiecewiseIONode): heat_rejection_port_ref: str = "heat_rejection" @property - def temperature_cop_param(self): + def temperature_cop_param(self) -> str: return f"temperature_cop_factor_{self.node_name}" @property - def electrical_input_port_ref(self): + def electrical_input_port_ref(self) -> str: return self.input_port_ref @property - def thermal_output_port_ref(self): + def thermal_output_port_ref(self) -> str: return self.output_port_ref - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) # A chiller has one electrical input port and one cooling output (thermal sink) port self.ports[self.input_port_ref] = FlexSink(units=self.input_port_unit) @@ -202,10 +202,10 @@ def __init__(self, **data): if self.heat_rejection_port: self.ports[self.heat_rejection_port_ref] = FlexSource(units=self.output_port_unit) - def update(self, ambient_temperature_dict): + def update(self, ambient_temperature_dict: dict[float, float]) -> None: self.ambient_temperature_dict = ambient_temperature_dict - def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: self._load_temperature_values_from_profile(model, profile) self._define_temperature_dependent_cop_coefficient(model) self._set_input_points(model) @@ -219,7 +219,7 @@ def set_ports( electrical_input_port: FlexSink, cooling_output_port: FlexPort, heat_rejection_port: FlexPort | None = None, - ): + ) -> None: # Discard existing ports self.ports.clear() @@ -238,7 +238,7 @@ def set_ports( self.heat_rejection_port_ref = heat_rejection_port.port_name self.ports[self.heat_rejection_port_ref] = heat_rejection_port - def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel): + def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel) -> None: """Get COP (coefficient of performance) scaling factor for each interval. Calculate value of the temperature_cop_factor parameter using numpy linear interpolation function. @@ -277,14 +277,14 @@ def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel en.Param(model.Expansion, model.Time, initialize=temperature_cop_dict, domain=en.Reals), ) - def _set_input_points(self, model: EchoConcreteModel): + def _set_input_points(self, model: EchoConcreteModel) -> None: """Input breakpoints are input electrical power values calculated as cooling_output/(COP_nominal*partial_load_correction) and scaled by 1/temperature_cop_param value""" # get parameter holding temperature dependent COP (coefficient of performance) factor temperature_cop_param = getattr(model, self.temperature_cop_param) - def input_point(k, v): + def input_point(k: float, v: float) -> float: if v == 0: return 0 else: @@ -296,7 +296,7 @@ def input_point(k, v): for t in range(len(model.Time)) } - def _set_output_points(self, model: EchoConcreteModel): + def _set_output_points(self, model: EchoConcreteModel) -> None: """Output breakpoints are partial cooling load values (% of max capacity)""" self.output_points = { (p, t): [k * self.max_cooling_capacity for k in self.partial_load_cop.keys()] @@ -304,13 +304,13 @@ def _set_output_points(self, model: EchoConcreteModel): for t in range(len(model.Time)) } - def _add_heat_rejection_constraint(self, model: EchoConcreteModel): + def _add_heat_rejection_constraint(self, model: EchoConcreteModel) -> None: """Get variables representing port flow values for cooling output (heat in) and rejected heat flow, set the constraint.""" heat_in = getattr(model, self.ports[self.output_port_ref].port_name) heat_reject = getattr(model, self.ports[self.heat_rejection_port_ref].port_name) - def heat_reject_constraint(model: EchoConcreteModel, p, t): + def heat_reject_constraint(model: EchoConcreteModel, p: None, t: None) -> EqualityExpression: """Amount of rejected heat at each interval equals amount of cooling delivered (heat in) multiplied by heat rejection coefficient """ @@ -322,7 +322,7 @@ def heat_reject_constraint(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=heat_reject_constraint), ) - def _load_temperature_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame): + def _load_temperature_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame) -> None: """When ambient temperature is set by str reference, load values from profile.""" if self.ambient_temperature_ref: if self.ambient_temperature_ref and self.ambient_temperature_ref not in profile_df.columns: @@ -357,33 +357,33 @@ class ThermalNode(Node): losses: str gains: str - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) self.internal_temp = "internal_temp_" + self.node_name self.is_gain = "is_gain_" + self.node_name self.losses = "losses_" + self.node_name self.gains = "gains_" + self.node_name - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_node_to_model(model, profile) self.create_and_bound_temp_vars(model) self.loss_and_gain_constraints_and_variables(model) self.apply_energy_balance_constraint(model) - def create_and_bound_temp_vars(self, model: EchoConcreteModel): + def create_and_bound_temp_vars(self, model: EchoConcreteModel) -> None: # Create temperature variable setattr(model, self.internal_temp, en.Var(model.Expansion, model.Time, domain=en.NonNegativeReals)) # Bound temp variable to be within range set_var_bounds_from_dict(model=model, var_name=self.internal_temp, ub=self.temp_ub, lb=self.temp_lb) - def loss_and_gain_constraints_and_variables(self, model: EchoConcreteModel): + def loss_and_gain_constraints_and_variables(self, model: EchoConcreteModel) -> None: # Create variable for losses and gains setattr(model, self.losses, en.Var(model.Expansion, model.Time, domain=en.NonPositiveReals)) setattr(model, self.gains, en.Var(model.Expansion, model.Time, domain=en.NonNegativeReals)) setattr(model, self.is_gain, en.Var(model.Expansion, model.Time, domain=en.Binary)) # Apply constraints on loss and gain variables - def loss_gain_sum_constraint(model: EchoConcreteModel, p, t): + def loss_gain_sum_constraint(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Losses + gains must equal the temperature difference between ambient and internal""" return ( getattr(model, self.losses)[p, t] + getattr(model, self.gains)[p, t] @@ -396,7 +396,7 @@ def loss_gain_sum_constraint(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=loss_gain_sum_constraint), ) - def loss_or_gain1(model: EchoConcreteModel, p, t): + def loss_or_gain1(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """Gains can only be non-zero if is_gain = 1""" return getattr(model, self.gains)[p, t] <= getattr(model, self.is_gain)[p, t] * model.bigM @@ -404,7 +404,7 @@ def loss_or_gain1(model: EchoConcreteModel, p, t): model, "loss_gain_con2_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=loss_or_gain1) ) - def loss_or_gain2(model: EchoConcreteModel, p, t): + def loss_or_gain2(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """Losses can only be non-zero if is_gain = 0""" return getattr(model, self.losses)[p, t] >= (getattr(model, self.is_gain)[p, t] - 1) * model.bigM @@ -412,9 +412,9 @@ def loss_or_gain2(model: EchoConcreteModel, p, t): model, "loss_gain_con3_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=loss_or_gain2) ) - def apply_energy_balance_constraint(self, model: EchoConcreteModel): + def apply_energy_balance_constraint(self, model: EchoConcreteModel) -> None: # Constraint relating internal, ambient temp, heat in, heat out, losses, and gains - def rule1(model: EchoConcreteModel, p, t): + def rule1(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: thermal_kw = 0 for v in self.ports.values(): thermal_kw += getattr(model, v.port_name)[p, t] # sum together our thermal ports @@ -470,7 +470,7 @@ class ThermalStorage(Node): output_port_ref: str = "output" input_output_port_ref: str = "input_output" - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) if self.separate_in_out_ports: @@ -487,7 +487,7 @@ def __init__(self, **data): if not self.initial_temp: self.initial_temp = self.min_temp + 0.5 * (self.max_temp - self.min_temp) - def set_flow_constraints_separate_ports(self): + def set_flow_constraints_separate_ports(self) -> None: if self.charging_power_limit: self.ports[self.input_port_ref].import_constraint = FlowConstraint.Fixed self.ports[self.input_port_ref].import_constraint_value = self.charging_power_limit @@ -495,7 +495,7 @@ def set_flow_constraints_separate_ports(self): self.ports[self.input_port_ref].export_constraint = FlowConstraint.Fixed self.ports[self.input_port_ref].export_constraint_value = self.discharging_power_limit - def set_flow_constraints_one_port(self): + def set_flow_constraints_one_port(self) -> None: if self.charging_power_limit: self.ports[self.input_output_port_ref].import_constraint = FlowConstraint.Fixed self.ports[self.input_output_port_ref].import_constraint_value = self.charging_power_limit @@ -503,10 +503,10 @@ def set_flow_constraints_one_port(self): self.ports[self.input_output_port_ref].export_constraint = FlowConstraint.Fixed self.ports[self.input_output_port_ref].export_constraint_value = self.discharging_power_limit - def update(self, ambient_temp): + def update(self, ambient_temp) -> None: self.ambient_temp = ambient_temp - def set_ports(self, input_port: FlexSink, output_port: FlexSource): + def set_ports(self, input_port: FlexSink, output_port: FlexSource) -> None: """Replaces any existing ports with separate input and output ports""" # Discard existing ports self.ports.clear() @@ -523,7 +523,7 @@ def set_ports(self, input_port: FlexSink, output_port: FlexSource): self.ports[self.input_port_ref].export_constraint = FlowConstraint.Fixed self.ports[self.input_port_ref].export_constraint_value = self.discharging_power_limit - def set_port(self, input_output_port: FlexPort): + def set_port(self, input_output_port: FlexPort) -> None: """Replaces any existing ports with a combined input output port""" # Discard existing ports self.ports.clear() @@ -557,43 +557,43 @@ def _units_are_allowed(cls, v: Units) -> Units: return v @property - def internal_temp(self): + def internal_temp(self) -> str: return "internal_temp_" + self.node_name @property - def net_loss_gain(self): + def net_loss_gain(self) -> str: return "net_loss_gain_" + self.node_name @property - def soc_value(self): + def soc_value(self) -> str: return "storage_soc_" + self.node_name @property - def soc_constraint(self): + def soc_constraint(self) -> str: return "soc_cons_" + self.node_name @property - def lump_capacitance(self): + def lump_capacitance(self) -> float: return self.storage_mass * self.specific_heat @property - def lump_conductance(self): + def lump_conductance(self) -> float: return self.ins_transmittance * self.surface_area @property - def energy_units_conversion(self): + def energy_units_conversion(self) -> float: if self.energy_flow_units == Units.KWT: # If ports flow in KWT calculate energy in KWTh return 1 / 3600000 - elif self.energy_flow_units == Units.JPS: + else: # If ports flow in JPS calculate energy in Joules return 1 @property - def max_heat_storage_capacity(self): + def max_heat_storage_capacity(self) -> float: return self.lump_capacitance * (self.max_temp - self.min_temp) * self.energy_units_conversion - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_node_to_model(model, profile) self._load_values_from_profile(model, profile) self._create_and_bound_temp_variable(model) @@ -604,7 +604,7 @@ def add_node_to_model(self, model: EchoConcreteModel, profile): if self.enforce_end_temperature_value: self._apply_final_temperature_constraint(model) - def _load_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame): + def _load_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame) -> None: """For all attributes set by str reference, load values from profile.""" if self.ambient_temp_ref: if self.ambient_temp_ref not in profile_df.columns: @@ -622,7 +622,7 @@ def _load_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.Dat else: pass - def _create_and_bound_temp_variable(self, model: EchoConcreteModel): + def _create_and_bound_temp_variable(self, model: EchoConcreteModel) -> None: # Create temperature variable setattr( model, @@ -632,7 +632,7 @@ def _create_and_bound_temp_variable(self, model: EchoConcreteModel): # Bound temp variable to be within range set_float_var_bounds(model=model, var_name=self.internal_temp, ub=self.max_temp, lb=self.min_temp) - def _create_soc_variable(self, model: EchoConcreteModel): + def _create_soc_variable(self, model: EchoConcreteModel) -> None: # Calculate initial state of charge based on the initial internal temperature value initial_soc = self.lump_capacitance * (self.initial_temp - self.min_temp) * self.energy_units_conversion # Create soc variable and bound it @@ -642,12 +642,12 @@ def _create_soc_variable(self, model: EchoConcreteModel): en.Var(model.Expansion, model.Time, initialize=initial_soc, bounds=(0, self.max_heat_storage_capacity)), ) - def _apply_net_loss_and_gain_constraint(self, model: EchoConcreteModel): + def _apply_net_loss_and_gain_constraint(self, model: EchoConcreteModel) -> None: # Create variable for net losses and gains setattr(model, self.net_loss_gain, en.Var(model.Expansion, model.Time, domain=en.Reals)) # Apply constraints on loss and gain variables - def net_loss_gain_constraint(model: EchoConcreteModel, p, t): + def net_loss_gain_constraint(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Losses to /gains from environment equals to the temperature difference between ambient and internal multiplied by lump_conductance. @@ -669,7 +669,7 @@ def net_loss_gain_constraint(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=net_loss_gain_constraint), ) - def _apply_energy_balance_constraint(self, model: EchoConcreteModel): + def _apply_energy_balance_constraint(self, model: EchoConcreteModel) -> None: # Constraint relating internal, ambient temp, heat in, heat out, losses, and gains dt_sec = model.scenario_settings.interval_duration * 60 max_t = len(model.Time) - 1 @@ -680,7 +680,7 @@ def _apply_energy_balance_constraint(self, model: EchoConcreteModel): # If ports flow in JPS calculate losses in JPS flow_units_scaler = 1 - def change_of_internal_temperature_constraint(model: EchoConcreteModel, p, t): + def change_of_internal_temperature_constraint(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: heat_in_out = 0 for v in self.ports.values(): heat_in_out += getattr(model, v.port_name)[p, t] # sum together our thermal ports @@ -709,12 +709,12 @@ def change_of_internal_temperature_constraint(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=change_of_internal_temperature_constraint), ) - def _apply_final_temperature_constraint(self, model: EchoConcreteModel): + def _apply_final_temperature_constraint(self, model: EchoConcreteModel) -> None: # Storage internal temperature at the last optimisation interval must equal initial temperature max_t = len(model.Time) - 1 internal_temperature = getattr(model, self.internal_temp) - def final_temperature_rule(model: EchoConcreteModel, p, t): + def final_temperature_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: if t == max_t: return internal_temperature[p, t] == self.initial_temp else: @@ -726,12 +726,12 @@ def final_temperature_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=final_temperature_rule), ) - def _apply_soc_constraint(self, model: EchoConcreteModel): + def _apply_soc_constraint(self, model: EchoConcreteModel) -> None: # State of charge in Joule or KWTh is a linear function of the internal temperature soc = getattr(model, self.soc_value) internal_temperature = getattr(model, self.internal_temp) - def soc_rule(model: EchoConcreteModel, p, t): + def soc_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: return ( soc[p, t] == self.lump_capacitance * (internal_temperature[p, t] - self.min_temp) * self.energy_units_conversion @@ -772,32 +772,32 @@ class SimpleHeatPump(Node): electrical_input_port_ref: str = "input" thermal_output_port_ref: str = "output" - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) self.create_ports() - def update(self, heating_cop_time_series, cooling_cop_time_series): + def update(self, heating_cop_time_series, cooling_cop_time_series) -> None: self.heating_cop_time_series = heating_cop_time_series self.cooling_cop_time_series = cooling_cop_time_series # Naming variables @property - def heating_cop(self): + def heating_cop(self) -> str: return "heating_cop_" + self.node_name @property - def cooling_cop(self): + def cooling_cop(self) -> str: return "cooling_cop_" + self.node_name @property - def power_to_heat(self): + def power_to_heat(self) -> str: return "power_to_heat_" + self.node_name @property - def power_to_cool(self): + def power_to_cool(self) -> str: return "power_to_cool_" + self.node_name - def create_ports(self): + def create_ports(self) -> None: # Constraint import flow of the thermal port if self.max_cooling_capacity: thermal_import_constraint = FlowConstraint.Fixed @@ -826,7 +826,7 @@ def create_ports(self): export_constraint_value=thermal_export_constraint_value, ) - def set_ports(self, electrical_input_port: FlexSink, thermal_output_port: FlexPort): + def set_ports(self, electrical_input_port: FlexSink, thermal_output_port: FlexPort) -> None: # Discard existing ports self.ports.clear() @@ -836,7 +836,7 @@ def set_ports(self, electrical_input_port: FlexSink, thermal_output_port: FlexPo self.ports[self.electrical_input_port_ref] = electrical_input_port self.ports[self.thermal_output_port_ref] = thermal_output_port - def _set_ports_var_bounds(self, model: EchoConcreteModel): + def _set_ports_var_bounds(self, model: EchoConcreteModel) -> None: """Set cooling and heating port flow bounds based on the max heating and cooling capacity attribute if given. Split output port into non-positive and non-negative components. @@ -853,7 +853,7 @@ def _set_ports_var_bounds(self, model: EchoConcreteModel): lb=-lower_bound, ) - def _set_helper_variables(self, model: EchoConcreteModel): + def _set_helper_variables(self, model: EchoConcreteModel) -> None: """Create internal variables representing amount of electrical power used to produce heating or cooling at each interval. Both variables are non-negative, this is not the same as thermal port flow value. Intermediate helper variables.""" @@ -876,14 +876,14 @@ def _set_helper_variables(self, model: EchoConcreteModel): en.Param(model.Expansion, model.Time, initialize=self.cooling_cop_time_series, domain=en.NonNegativeReals), ) - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: # Load coefficient of performance values from profile (if be set ref) self._load_cop_values_from_profile(model, profile) super().add_node_to_model(model, profile) self._set_ports_var_bounds(model) self._set_helper_variables(model) - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: # Get variable names for heating and cooling output depending on thermal ports configuration heating_out_var = self.ports[self.thermal_output_port_ref].neg cooling_out_var = self.ports[self.thermal_output_port_ref].pos @@ -894,7 +894,7 @@ def apply_node_constraints(self, model: EchoConcreteModel): model, heating_out_var=heating_out_var, cooling_out_var=cooling_out_var ) - def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame): + def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame) -> None: """When coefficient of performance timeseries is set by str reference, load values from profile.""" if self.cooling_cop_time_series_ref: if self.cooling_cop_time_series_ref not in profile_df.columns: @@ -924,7 +924,7 @@ def _load_cop_values_from_profile(self, model: EchoConcreteModel, profile_df: pd self._set_constant_cop_values(model) - def _set_constant_cop_values(self, model: EchoConcreteModel): + def _set_constant_cop_values(self, model: EchoConcreteModel) -> None: """If heating_cop_time_series and cooling_cop_time_series dictionary is not defined otherwise, use constant cop values. """ @@ -945,11 +945,11 @@ def _set_constant_cop_values(self, model: EchoConcreteModel): ) ) - def _apply_only_heat_or_cool_constraints(self, model: EchoConcreteModel, binary_var_name: str): + def _apply_only_heat_or_cool_constraints(self, model: EchoConcreteModel, binary_var_name: str) -> None: is_cooling = getattr(model, binary_var_name) # binary var for whether we are cooling power_in = getattr(model, self.ports[self.electrical_input_port_ref].port_name) # input electrical power - def only_heat_or_cool1(model: EchoConcreteModel, p, t): + def only_heat_or_cool1(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """Constraint power_to_heat variable. power_to_heat=0 when is_cooling=1. power_to_heat is positive real =< bigM value when is_cooling=0""" return getattr(model, self.power_to_heat)[p, t] <= (1 - is_cooling[p, t]) * model.bigM @@ -960,7 +960,7 @@ def only_heat_or_cool1(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=only_heat_or_cool1), ) - def only_heat_or_cool2(model: EchoConcreteModel, p, t): + def only_heat_or_cool2(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """Constraint power_to_cool variable. power_to_cool=0 when is_cooling=0. power_to_cool is positive real =< bigM value when is_cooling=1""" return getattr(model, self.power_to_cool)[p, t] <= is_cooling[p, t] * model.bigM @@ -971,7 +971,7 @@ def only_heat_or_cool2(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=only_heat_or_cool2), ) - def sum_rule(model: EchoConcreteModel, p, t): + def sum_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Electrical power input used for heating and for cooling must sum to total electrical power input""" return power_in[p, t] == getattr(model, self.power_to_heat)[p, t] + getattr(model, self.power_to_cool)[p, t] @@ -979,13 +979,13 @@ def sum_rule(model: EchoConcreteModel, p, t): def _apply_node_transformation_constraints( self, model: EchoConcreteModel, heating_out_var: str, cooling_out_var: str - ): + ) -> None: heating_out = getattr(model, heating_out_var) # heating delivered at thermal port (heat exported) cooling_out = getattr(model, cooling_out_var) # cooling delivered at thermal port (heat absorbed) heating_cop = getattr(model, self.heating_cop) cooling_cop = getattr(model, self.cooling_cop) - def heating_output_rule(model: EchoConcreteModel, p, t): + def heating_output_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """When heatpump used for heating, thermal port is exporting energy, thus -1 scaling. Thermal port flow values are negative in heating mode. @@ -993,7 +993,7 @@ def heating_output_rule(model: EchoConcreteModel, p, t): """ return heating_out[p, t] == getattr(model, self.power_to_heat)[p, t] * heating_cop[p, t] * -1 - def cooling_output_rule(model: EchoConcreteModel, p, t): + def cooling_output_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """When heatpump used for cooling, thermal port is importing/absorbing. Thermal port flow values are positive in cooling mode. @@ -1027,25 +1027,25 @@ class SimpleHeatPumpDualOutput(SimpleHeatPump): cooling_output_port_ref: str = "cooling_output" heating_output_port_ref: str = "heating_output" - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) # Create input and output ports: electrical input port, cooling output port and heating output port self.create_ports() @property - def heating_out_adjusted(self): + def heating_out_adjusted(self) -> str: """heating_out_adjusted variable represents amount of heat that is produced running the primary heating loop.""" return "heating_out_adjusted_" + self.node_name @property - def delta_heat_flow(self): + def delta_heat_flow(self) -> str: return f"delta_heat_flow_{self.node_name}" @property - def recovered_waste_heat(self): + def recovered_waste_heat(self) -> str: return f"recovered_waste_heat_{self.node_name}" - def create_ports(self): + def create_ports(self) -> None: # Create input and output ports self.ports[self.electrical_input_port_ref] = FlexSink(units=Units.KW) # Heat pump has electrical input port self.ports[self.cooling_output_port_ref] = FlexSink(units=Units.KWT) # Heat pump has one cooling output port @@ -1053,7 +1053,7 @@ def create_ports(self): def set_ports( self, electrical_input_port: FlexSink, cooling_output_port: FlexSink, heating_output_port: FlexSource - ): + ) -> None: # Discard existing ports self.ports.clear() @@ -1065,25 +1065,25 @@ def set_ports( self.ports[self.cooling_output_port_ref] = cooling_output_port.port_name self.ports[self.heating_output_port_ref] = heating_output_port.port_name - def _set_ports_var_bounds(self, model: EchoConcreteModel): + def _set_ports_var_bounds(self, model: EchoConcreteModel) -> None: """Set cooling and heating port flow bounds based on the max heating and cooling capacity attribute if given.""" lower_bound = self.max_heating_capacity or model.bigM upper_bound = self.max_cooling_capacity or model.bigM set_float_var_bounds(model, self.ports[self.cooling_output_port_ref].port_name, ub=upper_bound, lb=0) set_float_var_bounds(model, self.ports[self.heating_output_port_ref].port_name, ub=0, lb=-1 * lower_bound) - def _create_heat_recovery_vars(self, model: EchoConcreteModel): + def _create_heat_recovery_vars(self, model: EchoConcreteModel) -> None: """Create variable for adjusted heat_output supplied by the heating loop""" setattr(model, self.heating_out_adjusted, en.Var(model.Expansion, model.Time, domain=en.NonPositiveReals)) setattr(model, self.recovered_waste_heat, en.Var(model.Expansion, model.Time, domain=en.NonNegativeReals)) - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: # Use parent class method super().add_node_to_model(model, profile) self._create_heat_recovery_vars(model) self._create_delta_heat_flow_vars(model) - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: # Get variable names for heating and cooling output depending on thermal ports configuration h_out_adjusted_var = self.heating_out_adjusted c_out_var = self.ports[self.cooling_output_port_ref].port_name @@ -1093,14 +1093,14 @@ def apply_node_constraints(self, model: EchoConcreteModel): model, heating_out_var=h_out_adjusted_var, cooling_out_var=c_out_var ) - def _create_delta_heat_flow_vars(self, model: EchoConcreteModel): + def _create_delta_heat_flow_vars(self, model: EchoConcreteModel) -> None: """Create a delta heat flow variable, split in pos and negative components""" setattr(model, self.delta_heat_flow, en.Var(model.Expansion, model.Time, domain=en.Reals)) setattr(model, f"{self.delta_heat_flow}_pos", en.Var(model.Expansion, model.Time, domain=en.NonNegativeReals)) setattr(model, f"{self.delta_heat_flow}_neg", en.Var(model.Expansion, model.Time, domain=en.NonPositiveReals)) setattr(model, f"{self.delta_heat_flow}_is_pos", en.Var(model.Expansion, model.Time, domain=en.Binary)) - def total_sum_rule(model: EchoConcreteModel, p, t): + def total_sum_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """positive and negative component sum""" return ( getattr(model, f"delta_heat_flow_{self.node_name}")[p, t] @@ -1114,7 +1114,7 @@ def total_sum_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=total_sum_rule), ) - def is_pos_rule(model: EchoConcreteModel, p, t): + def is_pos_rule(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """Positive value constraint""" return ( getattr(model, f"delta_heat_flow_{self.node_name}_pos")[p, t] @@ -1125,7 +1125,7 @@ def is_pos_rule(model: EchoConcreteModel, p, t): model, "is_pos_delta_rule_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=is_pos_rule) ) - def is_neg_rule(model: EchoConcreteModel, p, t): + def is_neg_rule(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """positive and negative component sum""" return ( getattr(model, f"delta_heat_flow_{self.node_name}_neg")[p, t] @@ -1136,7 +1136,7 @@ def is_neg_rule(model: EchoConcreteModel, p, t): model, "is_neg_delta_rule_" + self.node_name, en.Constraint(model.Expansion, model.Time, rule=is_neg_rule) ) - def _apply_heat_recovery_constraints(self, model: EchoConcreteModel): + def _apply_heat_recovery_constraints(self, model: EchoConcreteModel) -> None: power_in = getattr(model, self.ports[self.electrical_input_port_ref].port_name) # input electrical power h_out_var = getattr(model, self.ports[self.heating_output_port_ref].port_name) c_out_var = getattr(model, self.ports[self.cooling_output_port_ref].port_name) @@ -1145,7 +1145,7 @@ def _apply_heat_recovery_constraints(self, model: EchoConcreteModel): delta_heat_flow_neg = getattr(model, f"{self.delta_heat_flow}_neg") waste_heat_var = getattr(model, self.recovered_waste_heat) - def delta_heat_flow_rule(model: EchoConcreteModel, p, t): + def delta_heat_flow_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Delta heat flow between cooling and heating circuits""" return delta_heat_flow[p, t] == h_out_var[p, t] + self.waste_heat_recovery_coeff * c_out_var[p, t] @@ -1155,7 +1155,7 @@ def delta_heat_flow_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=delta_heat_flow_rule), ) - def adjusted_heat_value_rule(model: EchoConcreteModel, p, t): + def adjusted_heat_value_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """heating_out_adjusted variable represents amount of heat that is produced in the primary heating loop. It is calculated as heating_out_adjusted = heating_delivered_to_load - heating_recovered_from_waste. @@ -1171,7 +1171,7 @@ def adjusted_heat_value_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=adjusted_heat_value_rule), ) - def recovered_heat_value_rule(model: EchoConcreteModel, p, t): + def recovered_heat_value_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Track amount of recovered waste heat""" return waste_heat_var[p, t] == -1 * h_out_var[p, t] + delta_heat_flow_neg[p, t] @@ -1181,7 +1181,7 @@ def recovered_heat_value_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=recovered_heat_value_rule), ) - def sum_rule(model: EchoConcreteModel, p, t): + def sum_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Electrical power input used for heating and for cooling must sum to total electrical power input""" return power_in[p, t] == getattr(model, self.power_to_heat)[p, t] + getattr(model, self.power_to_cool)[p, t] @@ -1263,29 +1263,29 @@ class ParameterisedHeatPump(Node): # temperature_cop_check = root_validator(allow_reuse=True)(validate_temperature_dependent_cop) @property - def temperature_cop_heating_param(self): + def temperature_cop_heating_param(self) -> str: return f"temperature_cop_heating_factor_{self.node_name}" @property - def temperature_cop_cooling_param(self): + def temperature_cop_cooling_param(self) -> str: return f"temperature_cop_cooling_factor_{self.node_name}" @property - def power_to_heat(self): + def power_to_heat(self) -> str: return "power_to_heat_" + self.node_name @property - def power_to_cool(self): + def power_to_cool(self) -> str: return "power_to_cool_" + self.node_name - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) self.create_ports() - def update(self, ambient_temperature_dict): + def update(self, ambient_temperature_dict) -> None: self.ambient_temperature_dict = ambient_temperature_dict - def create_ports(self): + def create_ports(self) -> None: # Create input and output ports # Heat pump has electrical input port self.ports[self.electrical_input_port_ref] = FlexSink(units=Units.KW) @@ -1300,7 +1300,7 @@ def set_ports( electrical_input_port: FlexSink, thermal_output_port: FlexPort, heat_intake_rejection_port: FlexPort | None = None, - ): + ) -> None: # Discard existing ports self.ports.clear() @@ -1319,7 +1319,7 @@ def set_ports( self.heat_intake_rejection_port_ref = heat_intake_rejection_port.port_name self.ports[self.heat_intake_rejection_port_ref] = heat_intake_rejection_port - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: """Set up variables and parameters associated with the node""" super().add_node_to_model(model, profile) self._set_helper_variables(model) @@ -1331,7 +1331,7 @@ def add_node_to_model(self, model: EchoConcreteModel, profile): self._set_output_points_heating(model) self._set_var_bounds(model) - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: """Set up constraints associated with the node""" # Get variable names for heating and cooling output depending on thermal ports configuration heat_out_var = self.ports[self.thermal_output_port_ref].neg @@ -1350,13 +1350,13 @@ def apply_node_constraints(self, model: EchoConcreteModel): if self.heat_intake_rejection_port_ref in self.ports: self._add_heat_intake_rejection_constraint(model) - def _add_heat_intake_rejection_constraint(self, model: EchoConcreteModel): + def _add_heat_intake_rejection_constraint(self, model: EchoConcreteModel) -> None: """Get variable representing port flow values for thermal output and intake or rejection of heat flow, set the constraint.""" thermal_output = getattr(model, self.ports[self.thermal_output_port_ref].port_name) heat_intake_reject = getattr(model, self.ports[self.heat_intake_rejection_port_ref].port_name) - def heat_reject_constraint(model: EchoConcreteModel, p, t): + def heat_reject_constraint(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: """Amount of rejected heat to the environment at each interval equals amount of cooling delivered (heat in) multiplied by heat rejection coefficient. Amount of heat intake from source/ environment at each interval equals amount of heating delivered @@ -1370,7 +1370,7 @@ def heat_reject_constraint(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=heat_reject_constraint), ) - def _set_var_bounds(self, model: EchoConcreteModel): + def _set_var_bounds(self, model: EchoConcreteModel) -> None: """Set cooling and heating port flow bounds based on the max heating and cooling capacity attribute if given. Split output port into non-positive and non-negative components. @@ -1416,7 +1416,7 @@ def _set_var_bounds(self, model: EchoConcreteModel): lb=min_output_heating, ) - def _set_helper_variables(self, model: EchoConcreteModel): + def _set_helper_variables(self, model: EchoConcreteModel) -> None: """Create internal variables representing amount of electrical power used to produce heating or cooling at each interval. Both variables are non-negative, this is not the same as thermal port flow value. Intermediate helper variables.""" @@ -1430,7 +1430,7 @@ def _set_helper_variables(self, model: EchoConcreteModel): # -ve component will be heating self.ports[self.thermal_output_port_ref].constrain_pos_neg(model) - def _load_temperature_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame): + def _load_temperature_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame) -> None: """When ambient temperature is set by str reference, load values from profile.""" if self.ambient_temperature_ref: if self.ambient_temperature_ref and self.ambient_temperature_ref not in profile_df.columns: From debe65817cc1fb52198bbeb448c6691be4182756 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Mon, 15 Jun 2026 15:11:17 +1000 Subject: [PATCH 39/44] Updated docstring --- src/echo/models/base.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 185f93b..0d3184d 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -449,9 +449,14 @@ def constraint(model: EchoConcreteModel, expansion_interval: int, time_interval: def set_initial_value(self, initial_value: dict) -> None: """Sets initial port value which will be used to initialise the pyomo var/param + Args: initial_value: dict of initial values + + Returns: + None """ + self.initial_value = initial_value def set_initial_value_from_timeseriesdata(self, time_series_data: TimeSeriesData) -> None: From 46433ccfe9793e7599410b6397b08a5369323f45 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Mon, 15 Jun 2026 15:15:45 +1000 Subject: [PATCH 40/44] Autoformatting --- examples/demand_tariff_with_time_periods.py | 14 +++++------ src/echo/models/agnostic.py | 26 ++++++++++++--------- src/echo/models/base.py | 1 + src/echo/models/carbon.py | 2 +- src/echo/models/gas.py | 2 +- src/echo/models/thermal.py | 2 +- tests/test_gas.py | 1 - 7 files changed, 26 insertions(+), 22 deletions(-) diff --git a/examples/demand_tariff_with_time_periods.py b/examples/demand_tariff_with_time_periods.py index edf7692..116050e 100644 --- a/examples/demand_tariff_with_time_periods.py +++ b/examples/demand_tariff_with_time_periods.py @@ -9,13 +9,13 @@ from echo.models.scenario import ScenarioSettings, engine_settings_from_environment from echo.objectives.base import ObjectiveSet from echo.objectives.tariff import ( - Day, - DemandTariffObjective, - ImportDemandCharge, - ResetPeriod, - ThroughputCost, - TimePeriod, - Window, + Day, + DemandTariffObjective, + ImportDemandCharge, + ResetPeriod, + ThroughputCost, + TimePeriod, + Window, ) from echo.optimiser import optimise diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index af2a207..c59b703 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -1,3 +1,6 @@ +"""Commodity agnostic ports and nodes""" + +import numpy as np import pandas as pd import pyomo.environ as en from pydantic import Field, PositiveFloat, root_validator, validator @@ -28,12 +31,6 @@ validate_piecewise_arrays, ) -""" - - Commodity agnostic ports and nodes - -""" - class FlexPort(Port): """Flexible variable port, which can import and export without constraints.""" @@ -75,11 +72,18 @@ class Source(Port): # Source should have non positive initial values non_pos_check = validator("initial_value", allow_reuse=True)(nonpositive_generation) - def add_source_profile(self, source_values: dict): + def add_source_profile(self, source_values: dict) -> None: self.set_initial_value(source_values) - def add_source_profile_from_array(self, source_values, expansion_periods=1, time_periods: int | None = None): - self.set_initial_value_from_array(source_values, expansion_periods, time_periods) + def add_source_profile_from_array( + self, + source_values: list[int | float] | np.ndarray, + expansion_periods: int = 1, + time_periods: int | None = None, + ) -> None: + self.set_initial_value_from_array( + array=source_values, expansion_periods=expansion_periods, time_periods=time_periods + ) class Sink(Port): @@ -93,10 +97,10 @@ class Sink(Port): nonnegative_load ) # Sink should have non negative initial values - def add_sink_profile(self, sink_values: dict): + def add_sink_profile(self, sink_values) -> None: self.set_initial_value(sink_values) - def add_sink_profile_from_array(self, sink_values, expansion_periods=1, time_periods: int | None = None): + def add_sink_profile_from_array(self, sink_values, expansion_periods=1, time_periods: int | None = None) -> None: self.set_initial_value_from_array( array=sink_values, expansion_periods=expansion_periods, time_periods=time_periods ) diff --git a/src/echo/models/base.py b/src/echo/models/base.py index 0d3184d..f2890a5 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -1,4 +1,5 @@ from __future__ import annotations # Deprecating in python 3.15 in favour of lazy annotations (PEP 649 and 749) + import copy import warnings from collections.abc import Callable, Iterable diff --git a/src/echo/models/carbon.py b/src/echo/models/carbon.py index 00e26f9..e9d4af9 100644 --- a/src/echo/models/carbon.py +++ b/src/echo/models/carbon.py @@ -1,6 +1,6 @@ import pandas as pd -from pyomo.core.expr import EqualityExpression import pyomo.environ as en +from pyomo.core.expr import EqualityExpression from echo.configuration import Flows, Units from echo.models.agnostic import FlexPort diff --git a/src/echo/models/gas.py b/src/echo/models/gas.py index ca7f97f..6ce8daf 100644 --- a/src/echo/models/gas.py +++ b/src/echo/models/gas.py @@ -1,7 +1,7 @@ import pandas as pd -from pyomo.core.expr import EqualityExpression import pyomo.environ as en from pydantic import NonNegativeFloat, root_validator +from pyomo.core.expr import EqualityExpression from echo.configuration import Units from echo.models.agnostic import FixedPort, FlexPort, InputOutputNode, OffOrConstrainedPort diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index 8f144e3..7260391 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -1,7 +1,7 @@ import pandas as pd -from pyomo.core.expr import EqualityExpression, InequalityExpression import pyomo.environ as en from pydantic import NegativeFloat, NonNegativeFloat, PositiveFloat, root_validator, validator +from pyomo.core.expr import EqualityExpression, InequalityExpression from scipy import interpolate from echo.configuration import FlowConstraint, Units diff --git a/tests/test_gas.py b/tests/test_gas.py index 5c65354..3d1fcdb 100644 --- a/tests/test_gas.py +++ b/tests/test_gas.py @@ -1,4 +1,3 @@ - from echo.configuration import FlowConstraint, Flows, OptimisationType, Units from echo.models.gas import FixedGasPort, FlexGasPort From 83cc4098ac64fdc9386fc6b98f838badd4ac8345 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Mon, 15 Jun 2026 15:17:02 +1000 Subject: [PATCH 41/44] Added type hint --- src/echo/exceptions.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/echo/exceptions.py b/src/echo/exceptions.py index 9a4a965..cd2e5b3 100644 --- a/src/echo/exceptions.py +++ b/src/echo/exceptions.py @@ -8,7 +8,7 @@ class OptimiserResultError(Exception): pass -def validate(statement: bool, message: str): +def validate(statement: bool, message: str) -> None: """Similar to assert but will NOT be optimised out by bytecode conversions (see bandit warning B101)""" if statement: return From 37333df59a980adf23ed6ef5a5d51c99c2f170b4 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Mon, 15 Jun 2026 15:50:33 +1000 Subject: [PATCH 42/44] Updated type hints --- src/echo/optimiser.py | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/src/echo/optimiser.py b/src/echo/optimiser.py index 72f0b98..5997a6e 100644 --- a/src/echo/optimiser.py +++ b/src/echo/optimiser.py @@ -1,3 +1,4 @@ +from typing import Generator import warnings from collections.abc import Collection from contextlib import contextmanager, redirect_stdout @@ -27,7 +28,7 @@ @contextmanager -def logged_stdout(logfile: str | None, mode: str = "w"): +def logged_stdout(logfile: str | None, mode: str = "w") -> Generator[None, str, None]: """Context manager that while held open will redirect all stdout to logfile. If the logfile is None then no redirection will occur""" if logfile is None: @@ -52,7 +53,7 @@ class OptimisationResult: opt_status: SolverStatus termination_condition: TerminationCondition - def df(self): + def df(self) -> pd.DataFrame: """ Extract all vars from the solution as a dataframe """ @@ -70,7 +71,7 @@ def df(self): return df - def df_by_node(self): + def df_by_node(self) -> pd.DataFrame: """Returns a df of results by node, using the port names given in each node's 'ports' dict""" dct = {} for node_name, node in self.graph.node_obj.items(): @@ -80,7 +81,7 @@ def df_by_node(self): df = pd.DataFrame(dct) return df - def df_by_port(self): + def df_by_port(self) -> pd.DataFrame: """Returns a df of results by port, using port names given in each node's 'ports' dict""" dct = {} for node_name, node in self.graph.node_obj.items(): @@ -94,7 +95,7 @@ def df_by_port(self): df = pd.DataFrame(dct) return df - def df_objective_by_port(self, index={1}): + def df_objective_by_port(self, index: set = {1}) -> pd.DataFrame: """Return the value of each objective assigned to each port.""" dct = {} for obj in self.objective_set.objective_list: @@ -102,7 +103,7 @@ def df_objective_by_port(self, index={1}): return pd.DataFrame(dct, index=index) - def values(self, variable_name, expansion=0): + def values(self, variable_name: str, expansion: int = 0) -> np.ndarray: """Returns the value of a single specified variable during a single specified expansion period.""" var_obj = getattr(self.model, variable_name) @@ -132,14 +133,14 @@ def values(self, variable_name, expansion=0): # if it has no index, we can directly return value return var_obj.value - def node_values(self, node_obj: Node, expansion_period=0): + def node_values(self, node_obj: Node, expansion_period: int = 0) -> dict[str, np.ndarray]: """Returns all values of all ports in a specified node for a single specified expansion period.""" outputs = {} for name, var_obj in node_obj.ports.items(): outputs[name] = self.values(var_obj.port_name, expansion_period) return outputs - def get_single_objective_total_value(self, objective_obj: Objective): + def get_single_objective_total_value(self, objective_obj: Objective) -> float: """Returns the value of a single objective.""" return objective_obj.get_objective_total(model=self.model) @@ -157,7 +158,7 @@ def get_total_objective_at_port(self, port_obj: Port): return total -def validate_network_graph(graph: OptimisationGraph): +def validate_network_graph(graph: OptimisationGraph) -> None: """ Validates that a pyomo model can be built from the provided network graph. Checks for: - name consistency between objects (e.g. node.node_name) and graph nodes From 3fa0a0412e95809f15b9b8f4c8c4770f43808db5 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Mon, 22 Jun 2026 15:37:21 +1000 Subject: [PATCH 43/44] Updating type hints. Minor formatting. Very minor refactor. --- pyproject.toml | 4 + src/echo/models/agnostic.py | 204 ++++++++++++++++------------- src/echo/models/base.py | 10 +- src/echo/models/electrical.py | 45 ++++--- src/echo/models/prebuilt.py | 28 ++-- src/echo/models/thermal.py | 32 +++-- src/echo/objectives/base.py | 28 ++-- src/echo/objectives/contingency.py | 29 ++-- src/echo/objectives/power.py | 33 ++--- src/echo/objectives/tariff.py | 95 +++++++------- src/echo/optimiser.py | 25 ++-- src/echo/utils.py | 26 ++-- src/echo/validators.py | 45 ++++--- 13 files changed, 340 insertions(+), 264 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 4bacd9c..18398b2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -88,6 +88,10 @@ line-length = 120 [tool.ruff.lint] select = ["E", "W", "F", "I", "S", "C90", "B", "UP", "ANN", "N"] +[tool.ruff.lint.flake8-annotations] +allow-star-arg-any = true +suppress-dummy-args = true + [tool.ruff.lint.mccabe] max-complexity = 15 diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index c59b703..8aebe68 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -4,6 +4,7 @@ import pandas as pd import pyomo.environ as en from pydantic import Field, PositiveFloat, root_validator, validator +from pyomo.core.expr import EqualityExpression, InequalityExpression from echo.configuration import FlowConstraint, Flows, OptimisationType, Units from echo.exceptions import ConfigurationError, validate @@ -77,7 +78,7 @@ def add_source_profile(self, source_values: dict) -> None: def add_source_profile_from_array( self, - source_values: list[int | float] | np.ndarray, + source_values: list[float] | np.ndarray, expansion_periods: int = 1, time_periods: int | None = None, ) -> None: @@ -121,8 +122,8 @@ class TellegenNode(Node): tellegen_unit_check = root_validator(allow_reuse=True)(node_unit_validator) - def apply_node_constraints(self, model: EchoConcreteModel): - def tellegen_node_rule(model: EchoConcreteModel, p, t): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: + def tellegen_node_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: a = 0 for port in node_ports.values(): a += getattr(model, port.port_name)[p, t] @@ -132,7 +133,7 @@ def tellegen_node_rule(model: EchoConcreteModel, p, t): con_name = "reliability_con_" + self.node_name setattr(model, con_name, en.Constraint(model.Expansion, model.Time, rule=tellegen_node_rule)) - def verify_node(self): + def verify_node(self) -> None: super().verify_node() validate( @@ -177,11 +178,11 @@ def constraint_neg_flow_mutually_exclusive_port_2(self): def constraint_pos_flow_mutually_exclusive_port_2(self): return f"constraint_pos_flow_mutually_exclusive_port_{self.output_port_name_2}_{self.node_name}" - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) self.create_ports() - def create_ports(self): + def create_ports(self) -> None: # Create input and output ports self.ports[self.input_port_name] = FlexSink(units=self.units) self.ports[self.output_port_name_1] = FlexSource(units=self.units) @@ -192,7 +193,7 @@ def set_ports( input_port: FlexSink, output_port_1: FlexSource, output_port_2: FlexSource, - ): + ) -> None: # Discard existing ports self.ports.clear() @@ -206,7 +207,7 @@ def set_ports( self.ports[self.output_port_name_1] = output_port_1 self.ports[self.output_port_name_2] = output_port_2 - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: # Load coefficient of performance values from profile (if provided by reference) setattr( model, @@ -215,38 +216,38 @@ def add_node_to_model(self, model: EchoConcreteModel, profile): ) super().add_node_to_model(model, profile) - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: super().apply_node_constraints(model) self._apply_mutually_exclusive_port_flow_constraint(model) - def _apply_mutually_exclusive_port_flow_constraint(self, model: EchoConcreteModel): + def _apply_mutually_exclusive_port_flow_constraint(self, model: EchoConcreteModel) -> None: _port_name_1 = self.ports.get(self.output_port_name_1).port_name _port_name_2 = self.ports.get(self.output_port_name_2).port_name _binary_var = getattr(model, self.binary_variable_flow_through_mutually_exclusive_port_1) - def mutual_exclusivity_rule_11(model: EchoConcreteModel, p, t): + def mutual_exclusivity_rule_11(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """When _binary_var is 0, flow through output port 1 is constrained to be zero""" return _binary_var[p, t] * -1 * model.bigM <= getattr(model, _port_name_1)[p, t] con_name = self.constraint_neg_flow_mutually_exclusive_port_1 setattr(model, con_name, en.Constraint(model.Expansion, model.Time, rule=mutual_exclusivity_rule_11)) - def mutual_exclusivity_rule_12(model: EchoConcreteModel, p, t): + def mutual_exclusivity_rule_12(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """When _binary_var is 0, flow through output port 1 is constrained to be zero""" return getattr(model, _port_name_1)[p, t] <= _binary_var[p, t] * model.bigM con_name = self.constraint_pos_flow_mutually_exclusive_port_1 setattr(model, con_name, en.Constraint(model.Expansion, model.Time, rule=mutual_exclusivity_rule_12)) - def mutual_exclusivity_rule_21(model: EchoConcreteModel, p, t): + def mutual_exclusivity_rule_21(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """When _binary_var is 1, flow through output port 2 is constrained to be zero""" return (1 - _binary_var[p, t]) * -1 * model.bigM <= getattr(model, _port_name_2)[p, t] con_name = self.constraint_neg_flow_mutually_exclusive_port_2 setattr(model, con_name, en.Constraint(model.Expansion, model.Time, rule=mutual_exclusivity_rule_21)) - def mutual_exclusivity_rule_22(model: EchoConcreteModel, p, t): + def mutual_exclusivity_rule_22(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: """When _binary_var is 1, flow through output port 2 is constrained to be zero""" return getattr(model, _port_name_2)[p, t] <= (1 - _binary_var[p, t]) * model.bigM @@ -260,10 +261,10 @@ class MultiCommodityTellegenNode(Node): A tellegen constraint is applied per commodity. """ - def apply_node_constraints(self, model): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: """Apply Tellegen constraint for same commodity ports.""" - def tellegen_node_rule(model, p, t): + def tellegen_node_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: net_flow = 0 for port in commodity_ports: port_flow = getattr(model, port.port_name) @@ -296,7 +297,7 @@ class PartitionedMultiCommodityTellegenNode(Node): partition_port_uniqueness_check = root_validator(allow_reuse=True)(validate_partition_ports) - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) if len(self.ports): if len(self.partitions): @@ -311,7 +312,7 @@ def __init__(self, **data): else: self.ports = {_p.port_name: _p for port_set in self.partitions.values() for _p in port_set} - def add_port(self, name: str, port: Port, partition: str = None): + def add_port(self, name: str, port: Port, partition: str | None = None) -> None: """Override base add_port method, add addition argument which is partition name to which add the port. If partition is not specified, adds to the default partition. @@ -328,10 +329,10 @@ def add_port(self, name: str, port: Port, partition: str = None): else: raise ConfigurationError(f"Port with name {name} is already defined on node {self.node_name}") - def apply_node_constraints(self, model): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: """Apply Tellegen constraint for same commodity ports within each partition.""" - def tellegen_node_rule(model, p, t): + def tellegen_node_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: net_flow = 0 for port in partition_ports: port_flow = getattr(model, port.port_name) @@ -370,7 +371,7 @@ class ControlledLoadOrGen(FlexPort): min_power: float | None = None units: Units = Units.KW - def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_port_to_model(model, profile) # Set bounds using min and max power @@ -380,7 +381,7 @@ def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): min_utilisation: float = self.min_utilisation max_power: float = self.max_power - def sum_of_energy_must_be_greater_than_min(model: EchoConcreteModel): + def sum_of_energy_must_be_greater_than_min(model: EchoConcreteModel) -> InequalityExpression: return ( sum( getattr(model, self.port_name)[p, i] * model.scenario_settings.interval_duration / 60.0 @@ -404,7 +405,7 @@ def sum_of_energy_must_be_greater_than_min(model: EchoConcreteModel): max_utilisation: float = self.max_utilisation max_power = self.max_power - def sum_of_energy_must_be_less_than_max(model: EchoConcreteModel): + def sum_of_energy_must_be_less_than_max(model: EchoConcreteModel) -> InequalityExpression: return ( sum( getattr(model, self.port_name)[p, i] * model.scenario_settings.interval_duration / 60.0 @@ -446,18 +447,18 @@ class OffOrConstrainedPort(FlexPort): bounds_check = root_validator(allow_reuse=True)(check_bound_order) # checks that lower bound < upper bound @property - def active(self): + def active(self) -> str: return "active_" + self.port_name - def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_port_to_model(model, profile) setattr(model, self.active, en.Var(model.Expansion, model.Time, initialize=0, domain=en.Binary)) # Apply constraints such that if active=1, the port is bounded, and if active=0, the port is 0. - def on_off_constraint1(model: EchoConcreteModel, p, t): + def on_off_constraint1(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.port_name)[p, t] >= getattr(model, self.active)[p, t] * self.lower_bound - def on_off_constraint2(model: EchoConcreteModel, p, t): + def on_off_constraint2(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.port_name)[p, t] <= getattr(model, self.active)[p, t] * self.upper_bound setattr(model, "on_off1_" + self.port_name, en.Constraint(model.Expansion, model.Time, rule=on_off_constraint1)) @@ -472,7 +473,7 @@ class BoundedPort(FlexPort): bound_check = root_validator(allow_reuse=True)(check_bound_order) # check lower bound < upper bound - def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_port_to_model(model, profile) # Set bounds on our port variable ub_dict = generate_array_constraint(self.upper_bound, time_periods=len(model.Time), expansion_periods=1) @@ -489,7 +490,7 @@ class BoundedLoad(BoundedPort): upper_bound_check = validator("upper_bound", allow_reuse=True)(nonnegative_costs) lower_bound_check = validator("lower_bound", allow_reuse=True)(nonnegative_costs) - def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_port_to_model(model, profile) @@ -526,17 +527,17 @@ def optimised_capacity(self) -> str: def soc_constraint(self) -> str: return "soc_cons_" + self.port_name - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) self.import_constraint_value = self.charging_power_limit self.export_constraint_value = self.discharging_power_limit - def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_port_to_model(model, profile) self.create_storage_variables(model) self.apply_soc_constraints(model) - def create_storage_variables(self, model: EchoConcreteModel): + def create_storage_variables(self, model: EchoConcreteModel) -> None: # Create soc variable and bound it setattr( model, @@ -554,62 +555,63 @@ def create_storage_variables(self, model: EchoConcreteModel): if self.fixed_storage_capacity is False: setattr(model, self.optimised_capacity, en.Var(initialize=0, domain=en.NonNegativeReals)) - def cap_limit(model: EchoConcreteModel, p, t): # Ensure SOC is within max capacity + def cap_limit(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: + # Ensure SOC is within max capacity return getattr(model, self.soc_value)[p, t] <= getattr(model, self.optimised_capacity) setattr(model, f"cap_lim_{self.port_name}", en.Constraint(model.Expansion, model.Time, rule=cap_limit)) else: setattr(model, self.optimised_capacity, en.Param(initialize=self.max_capacity, domain=en.NonNegativeReals)) - def apply_soc_constraints(self, model: EchoConcreteModel): - # Extract some variables to make constraints easier to write + def apply_soc_constraints(self, model: EchoConcreteModel) -> None: + """Extract some variables to make constraints easier to write""" max_t = len(model.Time) # maximum time interval t - kw_to_kWh = model.scenario_settings.interval_duration / 60 # conversion from kW to kWh + kw_to_kwh = model.scenario_settings.interval_duration / 60 # conversion from kW to kWh soc = getattr(model, self.soc_value) power = getattr(model, self.port_name) - def SOC_rule(model: EchoConcreteModel, p, t): + def soc_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: if p == 0 and t == 0: return ( soc[p, t] == self.initial_state_of_charge - + pos[p, t] * kw_to_kWh * self.charging_efficiency - + neg[p, t] * kw_to_kWh / self.discharging_efficiency + + pos[p, t] * kw_to_kwh * self.charging_efficiency + + neg[p, t] * kw_to_kwh / self.discharging_efficiency ) elif t == 0: return ( soc[p, t] == soc[p - 1, max_t] - + pos[p, t] * kw_to_kWh * self.charging_efficiency - + neg[p, t] * kw_to_kWh / self.discharging_efficiency + + pos[p, t] * kw_to_kwh * self.charging_efficiency + + neg[p, t] * kw_to_kwh / self.discharging_efficiency ) else: return ( soc[p, t] == soc[p, t - 1] - + pos[p, t] * kw_to_kWh * self.charging_efficiency - + neg[p, t] * kw_to_kWh / self.discharging_efficiency + + pos[p, t] * kw_to_kwh * self.charging_efficiency + + neg[p, t] * kw_to_kwh / self.discharging_efficiency ) - def SOC_rule_perfect_efficiency(model: EchoConcreteModel, p, t): + def soc_rule_perfect_efficiency(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: if p == 0 and t == 0: - return soc[p, t] == self.initial_state_of_charge + power[p, t] * kw_to_kWh + return soc[p, t] == self.initial_state_of_charge + power[p, t] * kw_to_kwh elif t == 0: - return soc[p, t] == soc[p - 1, max_t] + power[p, t] * kw_to_kWh + return soc[p, t] == soc[p - 1, max_t] + power[p, t] * kw_to_kwh else: - return soc[p, t] == soc[p, t - 1] + power[p, t] * kw_to_kWh + return soc[p, t] == soc[p, t - 1] + power[p, t] * kw_to_kwh if (self.charging_efficiency == 1) and (self.discharging_efficiency == 1): setattr( - model, self.soc_constraint, en.Constraint(model.Expansion, model.Time, rule=SOC_rule_perfect_efficiency) + model, self.soc_constraint, en.Constraint(model.Expansion, model.Time, rule=soc_rule_perfect_efficiency) ) else: self.constrain_pos_neg(model) pos = getattr(model, self.pos) # get pos variable for writing constraints neg = getattr(model, self.neg) # get neg variable for writing constraints - setattr(model, self.soc_constraint, en.Constraint(model.Expansion, model.Time, rule=SOC_rule)) + setattr(model, self.soc_constraint, en.Constraint(model.Expansion, model.Time, rule=soc_rule)) - def add_objective(self, model: EchoConcreteModel): + def add_objective(self, model: EchoConcreteModel) -> None: super().add_objective(model) total = 0 @@ -644,11 +646,11 @@ class MobileStorage(Storage): available: ArrayType | list | None = None @property - def cons_slack(self): + def cons_slack(self) -> str: return "con_slack" + self.port_name @property - def trip_slack(self): + def trip_slack(self) -> str: return "trip_slack_" + self.port_name @root_validator @@ -661,7 +663,7 @@ def check_soc_conserv_has_cost(cls, values): validate(available is not None, "soc_conserve requires available") return values - def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): + def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super(Storage, self).add_port_to_model(model, profile) self.create_storage_variables(model) if self.enable_trip_slack: @@ -670,10 +672,13 @@ def add_port_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame): self.apply_soc_constraints(model) self.apply_conserv_soc_constraints(model) - def apply_conserv_soc_constraints(self, model: EchoConcreteModel): + def apply_conserv_soc_constraints(self, model: EchoConcreteModel) -> None: def soc_conservative_rule( - model: EchoConcreteModel, p, t - ): # a rule for enforcing conservativeness while plugged in + model: EchoConcreteModel, + p: int, + t: int, + ) -> InequalityExpression | type[en.Constraint.Skip]: + """A rule for enforcing conservativeness while plugged in""" if expanded_soc_conserv and self.available is not None and self.available[t]: return ( getattr(model, self.soc_value)[p, t] @@ -701,68 +706,70 @@ def soc_conservative_rule( en.Constraint(model.Expansion, model.Time, rule=soc_conservative_rule), ) - def apply_modified_soc_constraints(self, model: EchoConcreteModel): - # Get some variables to make constraints easier to write + def apply_modified_soc_constraints(self, model: EchoConcreteModel) -> None: + """Get some variables to make constraints easier to write""" max_t = len(model.Time) # maximum time interval t - kw_to_kWh = model.scenario_settings.interval_duration / 60 # conversion from kW to kWh + kw_to_kwh = model.scenario_settings.interval_duration / 60 # conversion from kW to kWh soc = getattr(model, self.soc_value) power = getattr(model, self.port_name) - def SOC_rule_slack(model: EchoConcreteModel, p, t): + def soc_rule_slack(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: if p == 0 and t == 0: return ( soc[p, t] == self.initial_state_of_charge - + pos[p, t] * kw_to_kWh * self.charging_efficiency - + neg[p, t] * kw_to_kWh / self.discharging_efficiency + + pos[p, t] * kw_to_kwh * self.charging_efficiency + + neg[p, t] * kw_to_kwh / self.discharging_efficiency + slack[p, t] ) elif t == 0: return ( soc[p, t] == soc[p - 1, max_t] - + pos[p, t] * kw_to_kWh * self.charging_efficiency - + neg[p, t] * kw_to_kWh / self.discharging_efficiency + + pos[p, t] * kw_to_kwh * self.charging_efficiency + + neg[p, t] * kw_to_kwh / self.discharging_efficiency + slack[p, t] ) else: return ( soc[p, t] == soc[p, t - 1] - + pos[p, t] * kw_to_kWh * self.charging_efficiency - + neg[p, t] * kw_to_kWh / self.discharging_efficiency + + pos[p, t] * kw_to_kwh * self.charging_efficiency + + neg[p, t] * kw_to_kwh / self.discharging_efficiency + slack[p, t] ) - def SOC_rule_perfect_efficiency_slack(model: EchoConcreteModel, p, t): + def soc_rule_perfect_efficiency_slack(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: if p == 0 and t == 0: - return soc[p, t] == self.initial_state_of_charge + power[p, t] * kw_to_kWh + slack[p, t] + return soc[p, t] == self.initial_state_of_charge + power[p, t] * kw_to_kwh + slack[p, t] elif t == 0: - return soc[p, t] == soc[p, t - 1] + power[p - 1, max_t] * kw_to_kWh + slack[p, t] + return soc[p, t] == soc[p, t - 1] + power[p - 1, max_t] * kw_to_kwh + slack[p, t] else: - return soc[p, t] == soc[p, t - 1] + power[p, t] * kw_to_kWh + slack[p, t] + return soc[p, t] == soc[p, t - 1] + power[p, t] * kw_to_kwh + slack[p, t] if self.enable_trip_slack is True: - # Create a slack variable + """Create a slack variable""" setattr( model, self.trip_slack, en.Var(model.Expansion, model.Time, initialize=0, domain=en.NonNegativeReals) ) - slack = getattr(model, self.trip_slack) # get slack variable for writing constraints + # get slack variable for writing constraints + slack = getattr(model, self.trip_slack) + # Apply the modified soc constraint, which will overwrite the previously created one if (self.charging_efficiency == 1) and (self.discharging_efficiency == 1): setattr( model, self.soc_constraint, - en.Constraint(model.Expansion, model.Time, rule=SOC_rule_perfect_efficiency_slack), + en.Constraint(model.Expansion, model.Time, rule=soc_rule_perfect_efficiency_slack), ) else: self.constrain_pos_neg(model) pos = getattr(model, self.pos) # get pos variable for writing constraints neg = getattr(model, self.neg) # get neg variable for writing constraints - setattr(model, self.soc_constraint, en.Constraint(model.Expansion, model.Time, rule=SOC_rule_slack)) + setattr(model, self.soc_constraint, en.Constraint(model.Expansion, model.Time, rule=soc_rule_slack)) - def add_objective(self, model: EchoConcreteModel): + def add_objective(self, model: EchoConcreteModel) -> None: super().add_objective(model) total = 0 @@ -800,7 +807,7 @@ class InputOutputNode(Node): input_port_ref: str = "input" output_port_ref: str = "output" - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) # Create an input port and an output port with the correct units self.ports[self.input_port_ref] = FlexPort(units=self.input_port_unit) @@ -825,7 +832,7 @@ class TimeVaryingPiecewiseIONode(InputOutputNode): set_bounds_from_piecewise_points ) # set attributes max_output, min_output, max_input, min_input from input points/output points - def verify_points_values(self): + def verify_points_values(self) -> None: validate(self.input_points is not None, "No input points defined") validate(self.output_points is not None, "No output points defined") # Validate that dictionary keys match and length of each value array are the same @@ -838,7 +845,7 @@ def verify_points_values(self): f"Different length value arrays for key {k}", ) - def load_input_output_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame): + def load_input_output_values_from_profile(self, model: EchoConcreteModel, profile_df: pd.DataFrame) -> None: """If input/output point string references are provided, load values from profile. input_points_ref/output_points_ref will override input_points/output_points values provided @@ -858,7 +865,7 @@ def load_input_output_values_from_profile(self, model: EchoConcreteModel, profil output_points_array = profile_df[self.output_points_ref].to_list() self.add_constant_output_points(output_points_array, len(model.Time), len(model.Expansion)) - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: self.load_input_output_values_from_profile(model, profile) super().add_node_to_model(model, profile) # Bound input and output port variables, otherwise piecewise constraint will fail @@ -870,7 +877,7 @@ def add_node_to_model(self, model: EchoConcreteModel, profile): model=model, var_name=self.ports[self.input_port_ref].port_name, ub=self.max_input, lb=self.min_input ) - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: xvar = getattr(model, self.ports[self.input_port_ref].port_name) yvar = getattr(model, self.ports[self.output_port_ref].port_name) xdata = self.input_points @@ -893,14 +900,22 @@ def apply_node_constraints(self, model: EchoConcreteModel): ) def add_constant_input_points( - self, input_points: float | int | list, time_periods: int, expansion_periods: int = 1 - ): + self, + input_points: float | int | list, + time_periods: int, + expansion_periods: int = 1, + ) -> None: """Tiles constant input points array across time and expansion periods""" self.input_points = populate_values_across_time_and_expansion_indices( input_points, time_periods, expansion_periods ) - def add_constant_output_points(self, output_points: float | int | list, time_periods, expansion_periods=1): + def add_constant_output_points( + self, + output_points: float | int | list, + time_periods: int, + expansion_periods: int = 1, + ) -> None: """Tiles constant output points array across time and expansion periods.""" self.output_points = populate_values_across_time_and_expansion_indices( output_points, time_periods, expansion_periods @@ -912,15 +927,16 @@ class TimeDelayNode(InputOutputNode): time_delay: int # number of time intervals delay between input and output - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) self.ports["input"] = FlexSink(units=self.input_port_unit) self.ports["output"] = FlexSource(units=self.output_port_unit) - def apply_node_constraints(self, model: EchoConcreteModel): - def time_delay_rule(model: EchoConcreteModel, p, t): - """This is a modified tellegen rule, - where the sum=0 applies over staggered time periods according to the time delay""" + def apply_node_constraints(self, model: EchoConcreteModel) -> None: + def time_delay_rule(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: + """This is a modified tellegen rule, where the sum=0 applies over staggered time periods according to the + time delay. + """ a = getattr(model, self.ports["input"].port_name) b = getattr(model, self.ports["output"].port_name) if t < self.time_delay: @@ -944,13 +960,13 @@ class AggregationNode(Node): aggregator_unit_check = root_validator(allow_reuse=True)(node_unit_validator) @property - def total(self): + def total(self) -> None: return "total_value_" + self.node_name - def verify_node(self): + def verify_node(self) -> None: super().verify_node() - def add_port(self, name: str, port=FlexSink()): + def add_port(self, name: str, port: FlexSink = FlexSink()) -> None: if self.ports.get(name) is None: if port.units == Units.NA: port.units = self.port_units @@ -963,13 +979,13 @@ def add_port(self, name: str, port=FlexSink()): else: raise ConfigurationError(f"Port with name {name} is already defined on node {self.node_name}") - def add_node_to_model(self, model: EchoConcreteModel, profile): + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_node_to_model(model, profile) # Create a variable for the total value setattr(model, self.total, en.Var(model.Expansion, model.Time, initialize=0, domain=en.Reals)) - def apply_node_constraints(self, model: EchoConcreteModel): - def sum_rule(model: EchoConcreteModel, p, t): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: + def sum_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: a = 0 for port in self.ports.values(): a += getattr(model, port.port_name)[p, t] diff --git a/src/echo/models/base.py b/src/echo/models/base.py index f2890a5..a2ece04 100644 --- a/src/echo/models/base.py +++ b/src/echo/models/base.py @@ -50,7 +50,7 @@ class Port(BaseModel): # attribute_name: type = default_value units: Units = Units.NA # Used to ensure that common units are being optimised over at points of interconnection - initial_value: dict[tuple[int, int], int | float] | None = None + initial_value: dict[tuple[int, int], float] | None = None initial_value_ref: str | None = None # string ref to df column initial_value_scaling: int | None = None # scaling factor for initial values flow_type: OptimisationType = OptimisationType.NA @@ -465,7 +465,7 @@ def set_initial_value_from_timeseriesdata(self, time_series_data: TimeSeriesData def set_initial_value_from_array( self, - array: list[int | float] | np.ndarray, + array: list[float] | np.ndarray, expansion_periods: int = 1, time_periods: int | None = None, ) -> None: @@ -488,13 +488,15 @@ def set_initial_value_from_array( self.set_initial_value_from_timeseriesdata(time_series_data=time_series_data) def set_active_periods_from_array( - self, array: Any, expansion_periods: int = 1, time_periods: int | None = None + self, array: list[bool], expansion_periods: int = 1, time_periods: int | None = None ) -> None: """Sets port active periods + Args: array: array, list of active periods as bool values expansion_periods: number of expansion periods (int) """ + if time_periods is None: time_periods = len(array) @@ -1257,7 +1259,7 @@ def create_path_objects( # Find all the paths, just using the node names simple_paths = nx.all_simple_paths(graph, source_node, sink_node) simple_edges = nx.all_simple_edge_paths(graph, source_node, sink_node) - for vertex_list, edge_list in zip(simple_paths, simple_edges): + for vertex_list, edge_list in zip(simple_paths, simple_edges, strict=True): tellegen_node_set.update(vertex_list[1:-1]) # update set of tellegen nodes p = self._create_path_object(vertex_list, edge_list, regularise, path_unit) # create path all_paths[tuple(vertex_list)] = p diff --git a/src/echo/models/electrical.py b/src/echo/models/electrical.py index fc1a276..4c87d28 100644 --- a/src/echo/models/electrical.py +++ b/src/echo/models/electrical.py @@ -529,7 +529,11 @@ def _process_v0g_charging(self, interval_duration: float) -> None: # Set nodes V0G_trip_infeasibility self.V0G_trip_infeasibility = trip_infeasibility - def _v0g_charging(self, interval_duration: float, force_conv: bool = False) -> tuple[bool, float, float, float]: + def _v0g_charging( + self, + interval_duration: float, + force_conv: bool = False, + ) -> tuple[bool, list[float], float, float]: """Convert V0G vehicle (convenience charging) to a soc profile and a power profile if possible. Args: @@ -547,17 +551,17 @@ def _v0g_charging(self, interval_duration: float, force_conv: bool = False) -> t if (self.tod_charging is not None) and (not force_conv): self.available = list(np.array(self.available) * np.array(self.tod_charging)) - T = len(self.available) - soc = np.zeros((T + 1,)) + available_len = len(self.available) + soc = np.zeros((available_len + 1,)) vehicle = cast(MobileElectricalStorage, self.ports["vehicle"]) soc[0] = vehicle.initial_state_of_charge - trip_infeasibility = np.zeros((T,)) - delta = np.zeros((T,)) + trip_infeasibility = np.zeros((available_len,)) + delta = np.zeros((available_len,)) max_capacity = vehicle.max_capacity charge_limit = vehicle.charging_power_limit charging_efficiency = vehicle.charging_efficiency - for t in range(T): + for t in range(available_len): if self.available[t] and (soc[t] < max_capacity): # available to charge and not at max capacity delta[t] = min( charge_limit, @@ -999,7 +1003,7 @@ def __init__(self, **data) -> None: else: electrical_demand = ElectricalDemand() self.ports[self.connection_port_name] = electrical_demand - self.process_V0G_charging(self.interval_duration) + self.process_v0g_charging(self.interval_duration) electrical_demand.add_demand_profile_from_array(self.V0G_delta, expansion_periods=1) else: if self.connection_port_name in self.port_dict_name_to_port_uid_map.keys(): @@ -1070,8 +1074,8 @@ def create_ev_transformation(self) -> Transform: ] return Transform(lhs_terms=lhs_terms) - def process_V0G_charging(self, interval_duration: float): - success, ev_soc, ev_delta, trip_infeasibility = self.V0G_charging(interval_duration) + def process_v0g_charging(self, interval_duration: float) -> None: + success, ev_soc, ev_delta, trip_infeasibility = self.v0g_charging(interval_duration) self.V0G_delta = ev_delta self.V0G_SOC = ev_soc @@ -1079,7 +1083,7 @@ def process_V0G_charging(self, interval_duration: float): if success: self.charge_status = EVChargeStatus.Feasible else: # force convenience charging - success, ev_soc, ev_delta, trip_infeasibility = self.V0G_charging(interval_duration, force_conv=True) + success, ev_soc, ev_delta, trip_infeasibility = self.v0g_charging(interval_duration, force_conv=True) self.charge_status = ( EVChargeStatus.TimeOfDayInfeasibleConvenienceFeasible if success else EVChargeStatus.Infeasible ) @@ -1090,21 +1094,26 @@ def process_V0G_charging(self, interval_duration: float): self.charge_status = EVChargeStatus.Feasible if success else EVChargeStatus.Infeasible self.V0G_trip_infeasibility = trip_infeasibility - def V0G_charging(self, interval_duration: float, force_conv=False) -> None: + def v0g_charging( + self, + interval_duration: float, + force_conv: bool = False, + ) -> tuple[bool, list[float], float, float]: """Convert V0G vehicle (convenience charging) to a soc profile and a power profile if possible.""" + if (self.tod_charging is not None) and (not force_conv): self.available = self.available * self.tod_charging - T = len(self.available) - soc = np.zeros((T + 1,)) + available_len = len(self.available) + soc = np.zeros((available_len + 1,)) vehicle = cast(MobileElectricalStorage, self.ports["vehicle"]) soc[0] = vehicle.initial_state_of_charge - trip_infeasibility = np.zeros((T,)) - delta = np.zeros((T,)) + trip_infeasibility = np.zeros((available_len,)) + delta = np.zeros((available_len,)) max_capacity = vehicle.max_capacity charge_limit = vehicle.charging_power_limit charging_efficiency = vehicle.charging_efficiency - for t in range(T): + for t in range(available_len): if self.available[t] and (soc[t] < max_capacity): # available to charge and not at max capacity delta[t] = min( charge_limit, @@ -1137,7 +1146,7 @@ def verify_node(self) -> None: "EV usage port needs usage profile added.", ) - def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_node_to_model(model, profile) if self.charge_mode == EVChargeMode.V0G: # Fix the battery state of charge, the slack variable, and battery charging/discharging @@ -1223,7 +1232,7 @@ def verify_node(self) -> None: "All ports on inverter must be ac or dc.", ) - def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: super().add_node_to_model(model, profile) ac_port = self.ports[self.ac_port_name] diff --git a/src/echo/models/prebuilt.py b/src/echo/models/prebuilt.py index 0245e37..2cd4b14 100644 --- a/src/echo/models/prebuilt.py +++ b/src/echo/models/prebuilt.py @@ -1,3 +1,4 @@ +from pyomo.core.expr import EqualityExpression import pyomo.environ as en from pydantic import NonNegativeFloat, PositiveFloat @@ -13,7 +14,7 @@ class Battery(Node): def __init__( self, - port_name, + port_name: str, max_capacity: float, initial_state_of_charge: float, charging_power_limit: float, @@ -25,7 +26,7 @@ def __init__( fixed_storage_capacity: bool = True, regularise: bool = False, **data, - ): + ) -> None: super().__init__(**data) self.ports[port_name] = ElectricalStorage( max_capacity=max_capacity, @@ -42,7 +43,7 @@ def __init__( class Solar(Node): - def __init__(self, port_name: str, profile: ArrayType | dict, curtailable: bool = False, **data): + def __init__(self, port_name: str, profile: ArrayType | dict, curtailable: bool = False, **data) -> None: super().__init__(**data) self.ports[port_name] = ElectricalGeneration(curtailable=curtailable) if type(profile) is dict: @@ -54,7 +55,14 @@ def __init__(self, port_name: str, profile: ArrayType | dict, curtailable: bool class NewSolar(Node): """New Solar Node using Solar size for scaling of initial value ref""" - def __init__(self, port_name: str, solar_size: float, initial_value_ref: str, curtailable: bool = False, **data): + def __init__( + self, + port_name: str, + solar_size: float, + initial_value_ref: str, + curtailable: bool = False, + **data, + ) -> None: super().__init__(**data) self.ports[port_name] = ElectricalGeneration( curtailable=curtailable, initial_value_ref=initial_value_ref, initial_value_scaling=solar_size @@ -62,7 +70,7 @@ def __init__(self, port_name: str, solar_size: float, initial_value_ref: str, cu class Load(Node): - def __init__(self, port_name: str, port_unit: Units, profile: dict | ArrayType | list, **data): + def __init__(self, port_name: str, port_unit: Units, profile: dict | ArrayType | list, **data) -> None: super().__init__(**data) self.ports[port_name] = Demand(units=port_unit) if type(profile) is dict: @@ -72,7 +80,7 @@ def __init__(self, port_name: str, port_unit: Units, profile: dict | ArrayType | class FlexNode(Node): - def __init__(self, port_name: str, port_unit: Units, **data): + def __init__(self, port_name: str, port_unit: Units, **data) -> None: super().__init__(**data) self.ports[port_name] = FlexPort(port_name=port_name, units=port_unit) @@ -91,7 +99,7 @@ def __init__( carbon_port: str, emissions_factor: float | ArrayType, **data, - ): + ) -> None: super().__init__(**data) self.ports[emitting_port] = FlexPort(port_name=emitting_port, units=emitting_port_units) self.ports[carbon_port] = CarbonSource() @@ -127,10 +135,10 @@ def __init__(self, **data) -> None: self.ports["co2"] = CarbonSource() # todo: add some validators :-) - def apply_node_constraints(self, model: EchoConcreteModel): + def apply_node_constraints(self, model: EchoConcreteModel) -> None: super().apply_node_constraints(model) - def node_constraint(model: EchoConcreteModel, p, t): + def node_constraint(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: p_in = getattr(model, self.ports["input"].port_name) p_out = getattr(model, self.ports["output"].port_name) @@ -140,7 +148,7 @@ def node_constraint(model: EchoConcreteModel, p, t): out = (p_in[p, t] * self.startup_efficiency + p_in[p, t - 1] * (1 - self.startup_efficiency)) * self.cop return p_out[p, t] == -out - def carbon_rule(model: EchoConcreteModel, p, t): + def carbon_rule(model: EchoConcreteModel, p: int, t: int) -> EqualityExpression: p_in = getattr(model, self.ports["input"].port_name) c_out = getattr(model, self.ports["co2"].port_name) return c_out[p, t] == -p_in[p, t] diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index 7260391..5c04412 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -28,7 +28,7 @@ class SimpleChiller(Node): performance (COP) time series data. """ - max_cooling_capacity: PositiveFloat = None # Max cooling load that can be serviced in KWT + max_cooling_capacity: PositiveFloat | None = None # Max cooling load that can be serviced in KWT # (if None, bounded by bigM value) cooling_cop_time_series: dict | None # Formatted dict of cooling COPs (coefficients of performance) cooling_cop_time_series_ref: str | None @@ -50,9 +50,9 @@ def __init__(self, **data) -> None: thermal_import_constraint_value = None # Create input and output ports - self.ports[self.electrical_input_port_ref] = FlexSink( - units=Units.KW - ) # Simple Chiller has electrical input port + # Simple Chiller has electrical input port + self.ports[self.electrical_input_port_ref] = FlexSink(units=Units.KW) + # Simple Chiller has cooling output port (thermal sink) self.ports[self.thermal_output_port_ref] = FlexSink( units=Units.KWT, @@ -70,7 +70,7 @@ def set_ports(self, electrical_input_port: FlexSink, thermal_output_port: FlexPo self.ports[self.electrical_input_port_ref] = electrical_input_port self.ports[self.thermal_output_port_ref] = thermal_output_port - def update(self, cooling_cop_time_series) -> None: + def update(self, cooling_cop_time_series: dict[float, float]) -> None: self.cooling_cop_time_series = cooling_cop_time_series @property @@ -268,7 +268,7 @@ def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel cop_scaling_interpolated = interpolate.interp1d(temperature_points, cop_points, assume_sorted=False)( list(clamped_temp_values) ).round(2) - temperature_cop_dict = {k: v for k, v in zip(temperature_dict.keys(), cop_scaling_interpolated)} + temperature_cop_dict = {k: v for k, v in zip(temperature_dict.keys(), cop_scaling_interpolated, strict=True)} # Create a parameter holding ambient/condenser temperature dictionary # (defaulting to self.constant_ambient_temperature) setattr( @@ -776,7 +776,7 @@ def __init__(self, **data) -> None: super().__init__(**data) self.create_ports() - def update(self, heating_cop_time_series, cooling_cop_time_series) -> None: + def update(self, heating_cop_time_series: dict[float, float], cooling_cop_time_series: dict[float, float]) -> None: self.heating_cop_time_series = heating_cop_time_series self.cooling_cop_time_series = cooling_cop_time_series @@ -1067,6 +1067,7 @@ def set_ports( def _set_ports_var_bounds(self, model: EchoConcreteModel) -> None: """Set cooling and heating port flow bounds based on the max heating and cooling capacity attribute if given.""" + lower_bound = self.max_heating_capacity or model.bigM upper_bound = self.max_cooling_capacity or model.bigM set_float_var_bounds(model, self.ports[self.cooling_output_port_ref].port_name, ub=upper_bound, lb=0) @@ -1074,10 +1075,11 @@ def _set_ports_var_bounds(self, model: EchoConcreteModel) -> None: def _create_heat_recovery_vars(self, model: EchoConcreteModel) -> None: """Create variable for adjusted heat_output supplied by the heating loop""" + setattr(model, self.heating_out_adjusted, en.Var(model.Expansion, model.Time, domain=en.NonPositiveReals)) setattr(model, self.recovered_waste_heat, en.Var(model.Expansion, model.Time, domain=en.NonNegativeReals)) - def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: # Use parent class method super().add_node_to_model(model, profile) self._create_heat_recovery_vars(model) @@ -1319,7 +1321,7 @@ def set_ports( self.heat_intake_rejection_port_ref = heat_intake_rejection_port.port_name self.ports[self.heat_intake_rejection_port_ref] = heat_intake_rejection_port - def add_node_to_model(self, model: EchoConcreteModel, profile) -> None: + def add_node_to_model(self, model: EchoConcreteModel, profile: pd.DataFrame) -> None: """Set up variables and parameters associated with the node""" super().add_node_to_model(model, profile) self._set_helper_variables(model) @@ -1443,7 +1445,7 @@ def _load_temperature_values_from_profile(self, model: EchoConcreteModel, profil expansion_periods=len(model.Expansion), ) - def _apply_only_heat_or_cool_constraints(self, model: EchoConcreteModel, binary_var_name: str): + def _apply_only_heat_or_cool_constraints(self, model: EchoConcreteModel, binary_var_name: str) -> None: is_cooling = getattr(model, binary_var_name) # binary var for whether we are cooling power_in = getattr(model, self.ports[self.electrical_input_port_ref].port_name) # input electrical power @@ -1507,7 +1509,9 @@ def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel cop_scaling_interpolated_heating = interpolate.interp1d( temperature_points_heating, cop_points_heating, assume_sorted=False )(clamped_temp_values_heating).round(2) - temperature_cop_dict_heating = {k: v for k, v in zip(temperature_dict.keys(), cop_scaling_interpolated_heating)} + temperature_cop_dict_heating = { + k: v for k, v in zip(temperature_dict.keys(), cop_scaling_interpolated_heating, strict=True) + } min_temp_cooling = min(self.temperature_dependent_cop_cooling.keys()) max_temp_cooling = max(self.temperature_dependent_cop_cooling.keys()) @@ -1516,7 +1520,9 @@ def _define_temperature_dependent_cop_coefficient(self, model: EchoConcreteModel cop_scaling_interpolated_cooling = interpolate.interp1d( temperature_points_cooling, cop_points_cooling, assume_sorted=False )(clamped_temp_values_cooling).round(2) - temperature_cop_dict_cooling = {k: v for k, v in zip(temperature_dict.keys(), cop_scaling_interpolated_cooling)} + temperature_cop_dict_cooling = { + k: v for k, v in zip(temperature_dict.keys(), cop_scaling_interpolated_cooling, strict=True) + } # Create a parameter holding ambient/condenser temperature dictionary # (defaulting to self.constant_ambient_temperature) @@ -1586,7 +1592,7 @@ def _set_piecewise_linear_heating_cop_constraint( ), ) - def _set_input_points_cooling(self, model: EchoConcreteModel): + def _set_input_points_cooling(self, model: EchoConcreteModel) -> None: """Input breakpoints are input electrical power values calculated as cooling_output/(COP_nominal*partial_load_correction) and scaled by 1/temperature_cop_param value""" diff --git a/src/echo/objectives/base.py b/src/echo/objectives/base.py index 9d4a5e0..a6d5381 100644 --- a/src/echo/objectives/base.py +++ b/src/echo/objectives/base.py @@ -15,27 +15,27 @@ class Objective(EchoBaseModel): name: str = "" weight: float = 1 - def __init__(self, **data): + def __init__(self, **data) -> None: super().__init__(**data) if not self.name: self.name = "obj_" + str(self.uid) - def verify_objective(self, model: EchoConcreteModel, df: pd.DataFrame | None): + def verify_objective(self, model: EchoConcreteModel, df: pd.DataFrame | None) -> None: pass - def create_params(self, model: EchoConcreteModel, df: pd.DataFrame | None): + def create_params(self, model: EchoConcreteModel, df: pd.DataFrame | None) -> None: pass - def create_vars(self, model: EchoConcreteModel): + def create_vars(self, model: EchoConcreteModel) -> None: pass - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> None: pass - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: pass - def get_objective_total(self, model: EchoConcreteModel): + def get_objective_total(self, model: EchoConcreteModel) -> float: obj_expr = self.objective_expr(model) # Retrieve the objective expression return en.value(obj_expr) # Return the value of the summed expression @@ -45,14 +45,14 @@ class ObjectiveSet(EchoBaseModel): objective_list: list[Objective] - def add_objectives_to_model(self, model: EchoConcreteModel, df: pd.DataFrame | None = None): + def add_objectives_to_model(self, model: EchoConcreteModel, df: pd.DataFrame | None = None) -> None: for obj in self.objective_list: obj.verify_objective(model, df) obj.create_params(model, df) obj.create_vars(model) obj.apply_constraints(model) - def get_objective_total(self, model: EchoConcreteModel): + def get_objective_total(self, model: EchoConcreteModel) -> float: return sum([obj.objective_expr(model) * obj.weight for obj in self.objective_list]) @@ -62,7 +62,7 @@ class TotalFlow(Objective): component: Port minimise: bool = True - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: sign = -1 if self.minimise else 1 return sign * sum(getattr(model, self.component.port_name)[p, t] for p in model.Expansion for t in model.Time) @@ -73,11 +73,11 @@ class TotalImportFlow(Objective): component: Port minimise: bool = True - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: sign = 1 if self.minimise else -1 return sign * sum(getattr(model, self.component.pos)[p, t] for p in model.Expansion for t in model.Time) @@ -88,10 +88,10 @@ class TotalExportFlow(Objective): component: Port minimise: bool = True - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: sign = -1 if self.minimise else 1 return sign * sum(getattr(model, self.component.neg)[p, t] for p in model.Expansion for t in model.Time) diff --git a/src/echo/objectives/contingency.py b/src/echo/objectives/contingency.py index 03b4a4b..a6efb7e 100644 --- a/src/echo/objectives/contingency.py +++ b/src/echo/objectives/contingency.py @@ -1,3 +1,4 @@ +from pyomo.core.expr import InequalityExpression import pyomo.environ as en from pydantic import PositiveFloat @@ -17,21 +18,21 @@ class ContingencyNegative(Contingency): duration: PositiveFloat # todo this should just be the interval duration ? @property - def contingency_neg(self): + def contingency_neg(self) -> str: return "cont_neg_" + self.name - def create_vars(self, model: EchoConcreteModel): + def create_vars(self, model: EchoConcreteModel) -> None: setattr( model, self.contingency_neg, en.Var(model.Expansion, model.Time, initialize=0, domain=en.NonPositiveReals) ) - def apply_constraints(self, model: EchoConcreteModel): - def export_flow_con(model: EchoConcreteModel, p, t): + def apply_constraints(self, model: EchoConcreteModel) -> None: + def export_flow_con(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.contingency_neg)[p, t] >= ( port.export_constraint_value - getattr(model, port.port_name)[p, t] ) - def import_flow_con(model: EchoConcreteModel, p, t): + def import_flow_con(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return ( getattr(model, self.contingency_neg)[p, t] >= (port.import_constraint_value - getattr(model, port.port_name)[p, t]) * -1 @@ -59,7 +60,7 @@ def import_flow_con(model: EchoConcreteModel, p, t): initial_port = self.component.edge_ports[0][0] if hasattr(initial_port, "soc_value"): - def contingency_energy_limited_soc(model: EchoConcreteModel, p, t): + def contingency_energy_limited_soc(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return ( getattr(model, self.contingency_neg)[p, t] * self.duration / 60 >= getattr(model, initial_port.soc_value)[p, t] * -1 @@ -71,7 +72,7 @@ def contingency_energy_limited_soc(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=contingency_energy_limited_soc), ) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> None: return sum( getattr(model, self.contingency_neg)[p, t] * model.discount_rates[p] for p in model.Expansion @@ -85,22 +86,22 @@ class ContingencyPositive(Contingency): duration: PositiveFloat @property - def contingency_pos(self): + def contingency_pos(self) -> None: return "cont_pos_" + self.name - def create_vars(self, model: EchoConcreteModel): + def create_vars(self, model: EchoConcreteModel) -> None: setattr( model, self.contingency_pos, en.Var(model.Expansion, model.Time, initialize=0, domain=en.NonNegativeReals) ) - def apply_constraints(self, model: EchoConcreteModel): - def export_flow_con(model: EchoConcreteModel, p, t): + def apply_constraints(self, model: EchoConcreteModel) -> None: + def export_flow_con(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return ( getattr(model, self.contingency_pos)[p, t] <= (port.export_constraint_value - getattr(model, port.port_name)[p, t]) * -1 ) - def import_flow_con(model: EchoConcreteModel, p, t): + def import_flow_con(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.contingency_pos)[p, t] <= ( port.import_constraint_value - getattr(model, port.port_name)[p, t] ) @@ -127,7 +128,7 @@ def import_flow_con(model: EchoConcreteModel, p, t): initial_port = self.component.edge_ports[0][0] if isinstance(initial_port, Storage): - def contingency_energy_limited_soc(model: EchoConcreteModel, p, t): + def contingency_energy_limited_soc(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return ( getattr(model, self.contingency_pos)[p, t] * self.duration / 60 <= initial_port.max_capacity - getattr(model, initial_port.soc_value)[p, t] @@ -139,7 +140,7 @@ def contingency_energy_limited_soc(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=contingency_energy_limited_soc), ) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> None: return ( sum( getattr(model, self.contingency_pos)[p, t] * model.discount_rates[p] diff --git a/src/echo/objectives/power.py b/src/echo/objectives/power.py index b953c84..7a17804 100644 --- a/src/echo/objectives/power.py +++ b/src/echo/objectives/power.py @@ -1,3 +1,4 @@ +from pyomo.core.expr import InequalityExpression import pyomo.environ as en from pydantic import PositiveFloat @@ -13,14 +14,14 @@ class PeakPositivePower(Objective): component: Port @property - def max_pos(self): + def max_pos(self) -> str: return "max_pos_" + self.name - def create_vars(self, model: EchoConcreteModel): + def create_vars(self, model: EchoConcreteModel) -> None: setattr(model, self.max_pos, en.Var(initialize=0, domain=en.NonNegativeReals)) - def apply_constraints(self, model: EchoConcreteModel): - def max_value_rule(model: EchoConcreteModel, p, t): + def apply_constraints(self, model: EchoConcreteModel) -> None: + def max_value_rule(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.max_pos) >= getattr(model, self.component.pos)[p, t] if hasattr(model, self.component.pos) is False: @@ -32,7 +33,7 @@ def max_value_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=max_value_rule), ) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: return getattr(model, self.max_pos) @@ -42,17 +43,17 @@ class PeakNegativePower(Objective): component: Port @property - def max_neg(self): + def max_neg(self) -> str: return "max_neg_" + self.name - def create_vars(self, model: EchoConcreteModel): + def create_vars(self, model: EchoConcreteModel) -> None: setattr(model, self.max_neg, en.Var(initialize=0, domain=en.NonPositiveReals)) - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) - def max_value_rule(model: EchoConcreteModel, p, t): + def max_value_rule(model: EchoConcreteModel, p: int, t: int) -> InequalityExpression: return getattr(model, self.max_neg) <= getattr(model, self.component.neg)[p, t] setattr( @@ -61,7 +62,7 @@ def max_value_rule(model: EchoConcreteModel, p, t): en.Constraint(model.Expansion, model.Time, rule=max_value_rule), ) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: return getattr(model, self.max_neg) * -1 @@ -71,12 +72,12 @@ class FinalChargeObjective(Objective): component: Storage rate: PositiveFloat - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: pass # if hasattr(model, self.component.pos) is False: # self.component.constrain_pos_neg(model) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: obj = sum( (self.component.max_capacity - getattr(model, self.component.soc_value)[p, model.Time.at(-1)]) * self.rate for p in model.Expansion @@ -91,11 +92,11 @@ class NotFullyChargedPenalty(Objective): rate: PositiveFloat | None rate_array: list - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> None: if self.rate_array is None: self.rate_array = [self.rate] * len(model.Time) obj = sum( @@ -113,11 +114,11 @@ class QuadraticPower(Objective): component: Port - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: return sum( (getattr(model, self.component.port_name)[p, t] * getattr(model, self.component.port_name)[p, t]) * model.discount_rates[p] diff --git a/src/echo/objectives/tariff.py b/src/echo/objectives/tariff.py index 4cb19ad..e16020c 100644 --- a/src/echo/objectives/tariff.py +++ b/src/echo/objectives/tariff.py @@ -3,6 +3,7 @@ import numpy as np import pandas as pd +from pyomo.core.expr import InequalityExpression import pyomo.environ as en import shortuuid from pydantic import Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, PositiveInt, root_validator, validator @@ -23,7 +24,7 @@ class Tariff(Objective): def return_tariff_dict(array, expansion_periods): # todo update this to work for multiple expansion periods keys = [(x, i) for x in range(expansion_periods) for i in range(len(array))] - vals = dict(zip(keys, array)) + vals = dict(zip(keys, array, strict=True)) return vals @@ -34,25 +35,25 @@ class ImportTariff(Tariff): import_tariff_dict: dict | None @property - def import_tariff(self): + def import_tariff(self) -> str: return "import_tariff_" + self.name def __init__(self, **data): super().__init__(**data) self.import_tariff_dict = self.return_tariff_dict(self.tariff_array, self.expansion_periods) - def create_params(self, model: EchoConcreteModel, df): + def create_params(self, model: EchoConcreteModel, df: pd.DataFrame) -> None: setattr( model, self.import_tariff, en.Param(model.Expansion, model.Time, initialize=self.import_tariff_dict), ) - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: return sum( getattr(model, self.component.pos)[p, t] * getattr(model, self.import_tariff)[p, t] @@ -72,25 +73,25 @@ class ExportTariff(Tariff): export_tariff_dict: dict | None @property - def export_tariff(self): + def export_tariff(self) -> str: return "export_tariff_" + self.name def __init__(self, **data) -> None: super().__init__(**data) self.export_tariff_dict = self.return_tariff_dict(self.tariff_array, self.expansion_periods) - def create_params(self, model: EchoConcreteModel, df): + def create_params(self, model: EchoConcreteModel, df: pd.DataFrame) -> None: setattr( model, self.export_tariff, en.Param(model.Expansion, model.Time, initialize=self.export_tariff_dict), ) - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: return sum( getattr(model, self.component.neg)[p, t] * getattr(model, self.export_tariff)[p, t] @@ -113,7 +114,7 @@ class BlockTariff(Objective): reset_index: en.RangeSet @property - def num_price_bands(self): + def num_price_bands(self) -> int: return len(self.rates) @root_validator @@ -133,7 +134,7 @@ def set_reset_index(cls, values): values["reset_index"] = en.RangeSet(0, 0) return values - def get_block_var_name(self, i): + def get_block_var_name(self, i: int) -> str: return "block_" + str(i) def _get_active_periods( @@ -170,10 +171,10 @@ def _get_active_periods( class BlockImportTariff(BlockTariff): @property - def window_active(self): + def window_active(self) -> str: return "window_active_" + self.name - def create_vars(self, model: EchoConcreteModel): + def create_vars(self, model: EchoConcreteModel) -> None: self.component.constrain_pos_neg(model) for i in range(self.num_price_bands): # Create a variable for each price band, and bound it @@ -191,8 +192,8 @@ def create_vars(self, model: EchoConcreteModel): en.Param(model.Expansion, self.reset_index, model.Time, initialize=initial_val), ) - def apply_constraints(self, model: EchoConcreteModel): - def total_rule(model: EchoConcreteModel, r): + def apply_constraints(self, model: EchoConcreteModel) -> None: + def total_rule(model: EchoConcreteModel, r: int) -> InequalityExpression: all_blocks = 0 for i in range(self.num_price_bands): var = self.get_block_var_name(i) @@ -208,7 +209,7 @@ def total_rule(model: EchoConcreteModel, r): con_name = "total_energy_con_" + self.name setattr(model, con_name, en.Constraint(self.reset_index, rule=total_rule)) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: total = 0 for i in range(self.num_price_bands): total += self.rates[i] * sum(getattr(model, self.get_block_var_name(i))[r] for r in self.reset_index) @@ -222,24 +223,24 @@ class PathTariff(Tariff): path_tariff_dict: dict | None @property - def path_tariff(self): + def path_tariff(self) -> str: return "path_tariff_" + self.name def __init__(self, **data) -> None: super().__init__(**data) self.path_tariff_dict = self.return_tariff_dict(self.tariff_array, self.expansion_periods) - def create_params(self, model: EchoConcreteModel, df): + def create_params(self, model: EchoConcreteModel, df: pd.DataFrame) -> None: setattr( model, self.path_tariff, en.Param(model.Expansion, model.Time, initialize=self.path_tariff_dict), ) - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: pass - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: return sum( getattr(model, self.component.flow_value)[p, t] * getattr(model, self.path_tariff)[p, t] @@ -255,11 +256,11 @@ class ThroughputCost(Objective): component: Port rate: PositiveFloat - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: obj = ( sum( (getattr(model, self.component.pos)[p, t] - getattr(model, self.component.neg)[p, t]) @@ -319,7 +320,7 @@ def to_bool(self, df: pd.DataFrame) -> np.ndarray: & (df.index.weekday >= allowed_days_of_week_start) ).astype(int) - def overlaps(self, other: "TimePeriod"): + def overlaps(self, other: "TimePeriod") -> bool: """Determines whether two :obj:`TimePeriod` objects are overlapping. Intended use if for validating :obj:`Window` objects. @@ -381,17 +382,17 @@ def to_bool_periods(self, df: pd.DataFrame) -> np.ndarray: time_period_stack = np.column_stack([period.to_bool(df) for period in self.time_periods]) return time_period_stack.any(axis=1).astype(int) - def get_reset_period_array(self, df: pd.DataFrame) -> list: + def get_reset_period_array(self, df: pd.DataFrame) -> list[int]: """Returns an array where each value is the number of time intervals within which the demand charge is calculated.""" interval_duration = (df.index[1] - df.index[0]).seconds // 60 # get the interval duration in minutes total_intervals = len(df) - def _find_rollover(df, interval_duration): + def _find_rollover(df: pd.DataFrame, interval_duration: int) -> list[int]: """Finds when there is a rollover for a specified time period (year, month), and calculates the number of intervals in each rollover period""" - def perform_rollover_calc(diff_array): + def perform_rollover_calc(diff_array: np.ndarray) -> list[int]: _reset_periods = [] # initialise a total to count how many intervals per reset period. # =1 because the diff array has length n-1 @@ -458,11 +459,11 @@ class DemandCharge(EchoBaseModel): reset_index: en.RangeSet # index for separating different reset periods @property - def max_demand_val(self): + def max_demand_val(self) -> str: return "max_demand_" + self.name @property - def window_active(self): + def window_active(self) -> str: return "window_active_" + self.name @root_validator(pre=True) @@ -503,30 +504,36 @@ def check_name(cls, values): return values @staticmethod - def _get_active_periods(window_bool, reset_periods): # todo only works for single expansion period - """ - Creates a dict for initialising the window_active pyomo var + def _get_active_periods(window_bool: np.ndarray, reset_periods: list[int]) -> dict[tuple[int, int, int], float]: + # todo only works for single expansion period + """Creates a dict for initialising the window_active pyomo var + Args: window_bool: array of when charge applies, over entire optimisation period reset_periods: list of how many intervals per period in which a tariff is calculated. Returns: initial_window_val: triple indexed dict (expansion, reset index, time) for initialising demand charge var """ + initial_window_val = {} n_intervals = len(window_bool) num_resets = len(reset_periods) blank = np.zeros([num_resets, n_intervals]) # Create template blank array that we will populate with 1s index = 0 # for indexing each reset period + for i in range(num_resets): blank[i, index : index + reset_periods[i] - 1] = 1.0 # put the right number of 1s in # noqa E203 index += reset_periods[i] - 1 new_window = np.array(window_bool) * blank[i] # use the blank array as a filter on the window bool array for t in range(n_intervals): initial_window_val[(0, i, t)] = new_window[t] # get the array into a dict with the right keys + return initial_window_val - def create_params(self, model: EchoConcreteModel, df): + def create_params(self, model: EchoConcreteModel, df: pd.DataFrame) -> None: + initial_val = self._get_active_periods(self.window_array, self.reset_periods) + # Initialise binary parameter for when the demand charge applies, indexed by Expansion, reset period, Time setattr( model, @@ -540,7 +547,7 @@ def create_params(self, model: EchoConcreteModel, df): ), ) - def create_vars(self, model: EchoConcreteModel): + def create_vars(self, model: EchoConcreteModel) -> None: if self.import_demand is True: setattr( model, @@ -554,7 +561,7 @@ def create_vars(self, model: EchoConcreteModel): en.Var(self.reset_index, initialize=0, domain=en.NonPositiveReals), ) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: objective = 0 if self.import_demand: objective += sum(getattr(model, self.max_demand_val)[r] * self.rate for r in self.reset_index) @@ -562,7 +569,7 @@ def objective_expr(self, model: EchoConcreteModel): objective += sum(getattr(model, self.max_demand_val)[r] * self.rate * -1 for r in self.reset_index) return objective - def get_objective_total(self, model: EchoConcreteModel): + def get_objective_total(self, model: EchoConcreteModel) -> float: expr = en.value(self.objective_expr(model)) return expr @@ -574,8 +581,8 @@ class DemandTariffObjective(Objective): demand_charges: list[DemandCharge] expansion_periods: PositiveInt | None = 1 - def verify_objective(self, model: EchoConcreteModel, df): - def verify_non_overlapping(): + def verify_objective(self, model: EchoConcreteModel, df: pd.DataFrame) -> None: + def verify_non_overlapping() -> None: """Check that windows are not overlapping if multiple demand charges defined""" prev_window = np.array([]) prev_dc = None @@ -589,7 +596,7 @@ def verify_non_overlapping(): prev_dc = dc prev_window = np.array(dc.window_array) - def verify_same_length_windows(): + def verify_same_length_windows() -> None: """Check that all windows have the same length, and that this length matches the number of model time intervals""" @@ -611,22 +618,22 @@ def verify_same_length_windows(): verify_non_overlapping() verify_same_length_windows() - def create_params(self, model: EchoConcreteModel, df): + def create_params(self, model: EchoConcreteModel, df: pd.DataFrame) -> None: for dc in self.demand_charges: dc.create_params(model, df) - def create_vars(self, model: EchoConcreteModel): + def create_vars(self, model: EchoConcreteModel) -> None: for dc in self.demand_charges: dc.create_vars(model) - def apply_constraints(self, model: EchoConcreteModel): + def apply_constraints(self, model: EchoConcreteModel) -> None: if hasattr(model, self.component.pos) is False: self.component.constrain_pos_neg(model) for dc in self.demand_charges: if dc.import_demand is True: - def max_import_demand_rule(model: EchoConcreteModel, p, t, r): + def max_import_demand_rule(model: EchoConcreteModel, p: int, t: int, r: int) -> InequalityExpression: return ( getattr(model, dc.max_demand_val)[r] >= (getattr(model, self.component.pos)[p, t] - dc.min_demand) @@ -645,7 +652,7 @@ def max_import_demand_rule(model: EchoConcreteModel, p, t, r): ) elif dc.export_demand is True: - def max_export_demand_rule(model: EchoConcreteModel, p, t, r): + def max_export_demand_rule(model: EchoConcreteModel, p: int, t: int, r: int) -> InequalityExpression: return ( getattr(model, dc.max_demand_val)[r] <= (getattr(model, self.component.neg)[p, t] - dc.min_demand) @@ -663,7 +670,7 @@ def max_export_demand_rule(model: EchoConcreteModel, p, t, r): ), ) - def objective_expr(self, model: EchoConcreteModel): + def objective_expr(self, model: EchoConcreteModel) -> float: objective = 0 for dc in self.demand_charges: objective += dc.objective_expr(model) diff --git a/src/echo/optimiser.py b/src/echo/optimiser.py index 5997a6e..f82ddcf 100644 --- a/src/echo/optimiser.py +++ b/src/echo/optimiser.py @@ -1,6 +1,5 @@ -from typing import Generator import warnings -from collections.abc import Collection +from collections.abc import Collection, Generator from contextlib import contextmanager, redirect_stdout from dataclasses import dataclass @@ -28,7 +27,7 @@ @contextmanager -def logged_stdout(logfile: str | None, mode: str = "w") -> Generator[None, str, None]: +def logged_stdout(logfile: str | None, mode: str = "w") -> Generator[None]: """Context manager that while held open will redirect all stdout to logfile. If the logfile is None then no redirection will occur""" if logfile is None: @@ -95,8 +94,13 @@ def df_by_port(self) -> pd.DataFrame: df = pd.DataFrame(dct) return df - def df_objective_by_port(self, index: set = {1}) -> pd.DataFrame: + def df_objective_by_port(self, index: set | None = None) -> pd.DataFrame: """Return the value of each objective assigned to each port.""" + + # If the index is None, set it to {1} + if index is None: + index = {1} + dct = {} for obj in self.objective_set.objective_list: dct[obj.component.port_name + "-" + obj.name] = self.get_single_objective_total_value(obj) @@ -144,11 +148,11 @@ def get_single_objective_total_value(self, objective_obj: Objective) -> float: """Returns the value of a single objective.""" return objective_obj.get_objective_total(model=self.model) - def get_total_objective_value(self): + def get_total_objective_value(self) -> float: """Returns the value of the objective function.""" return en.value(self.objective) - def get_total_objective_at_port(self, port_obj: Port): + def get_total_objective_at_port(self, port_obj: Port) -> float: """Sums all objectives that take the defined port as their component.""" total = 0 if self.objective_set: @@ -195,7 +199,7 @@ def _build_model( smallM: float, bigM: int, profile: pd.DataFrame | None, -): +) -> EchoConcreteModel: model = EchoConcreteModel() model.smallM = en.Param(initialize=smallM) model.bigM = en.Param(initialize=bigM) @@ -245,7 +249,7 @@ def _build_objective( graph: OptimisationGraph, profile: pd.DataFrame | None, objective_set: ObjectiveSet | None, -): +) -> float | en.numeric_expr.NumericExpression: objective: float | en.numeric_expr.NumericExpression = 0 # Add objectives defined in the objective set @@ -264,6 +268,7 @@ def _build_objective( for path_obj in graph.paths.values(): path_obj.add_objective(model) objective += path_obj.objective + return objective @@ -276,7 +281,7 @@ def optimise( verbose: bool = False, show_solver_output: bool = False, logfile: str | None = None, - time_limit: int = None, + time_limit: int | None = None, acceptable_conditions: Collection[TerminationCondition] = DEFAULT_ACCEPTABLE_TERMINATION_CONDITIONS, ) -> OptimisationResult: """Runs the optimiser with the specified settings. Returns an OptimisationResult that can be queried @@ -337,7 +342,7 @@ def objective_function(model: EchoConcreteModel): if solver_status != SolverStatus.ok: if solver_status == SolverStatus.aborted: - warnings.warn(f"Solver status returned as {solver_status}") + warnings.warn(f"Solver status returned as {solver_status}", stacklevel=1) else: raise OptimiserResultError(f"Solver status returned as {solver_status}") diff --git a/src/echo/utils.py b/src/echo/utils.py index 94034b4..52412b0 100644 --- a/src/echo/utils.py +++ b/src/echo/utils.py @@ -1,5 +1,5 @@ from dataclasses import dataclass -from typing import Union +from typing import Callable, Union import numpy as np import numpy.typing as npt @@ -88,7 +88,7 @@ class TimeSeriesData: num_expansion_intervals: int -def expand_as_dict(data: TimeSeriesData) -> dict[tuple[int, int], int | float]: +def expand_as_dict(data: TimeSeriesData) -> dict[tuple[int, int], float]: """Converts a TimeSeriesData object to a dictionary of time-series values keyed by the expansion and time intervals. Calls `expand_as_array` internally to produce enough values for the time and expansion intervals. @@ -112,7 +112,7 @@ def expand_as_dict(data: TimeSeriesData) -> dict[tuple[int, int], int | float]: expanded_data = expand_as_array(data).flatten() keys = [(x, i) for x in range(data.num_expansion_intervals) for i in range(data.num_time_intervals)] - return dict(zip(keys, expanded_data)) + return dict(zip(keys, expanded_data, strict=True)) def expand_as_array(data: TimeSeriesData) -> npt.NDArray: @@ -264,7 +264,7 @@ def fix_port_variable(model: EchoConcreteModel, var_name: str, new_values: Array """ var = getattr(model, var_name) keys = [(x, i) for x in range(expansion_periods) for i in range(len(var))] - fixed_vals = dict(zip(keys, new_values)) + fixed_vals = dict(zip(keys, new_values, strict=True)) var.set_values(fixed_vals) var.fix() @@ -421,11 +421,11 @@ def to_initial_values_for_array( else: validate(len(values) == time_periods, "Initial values are wrong length.") keys = [(x, i) for x in range(expansion_periods) for i in range(time_periods)] - d = dict(zip(keys, scaled_values)) + d = dict(zip(keys, scaled_values, strict=True)) return d -def orjson_dumps(v, *, default): +def orjson_dumps(v: dict, *, default: Callable | None) -> str: for key, value in v.items(): if isinstance(value, dict): v[key] = ":".join(value) @@ -434,15 +434,24 @@ def orjson_dumps(v, *, default): return orjson.dumps(v, default=default).decode() -def generate_dict_with_pyomo_keys_from_array(array, time_periods: int, expansion_periods: int = 1): +def generate_dict_with_pyomo_keys_from_array( + array, + time_periods: int, + expansion_periods: int = 1, +) -> dict[tuple[int, int], float]: """ Generates a dict suitable for initializing a pyomo var or param. - The dict keys are a tuple (expansion period, time period) + + The dict keys are a tuple (expansion period, time period). """ + d = {} + validate(hasattr(array, "__iter__"), "Please enter an iterable array") + if (len(array) != time_periods) or (len(array) != time_periods * expansion_periods): raise ValueError("Array constraint length is not consistent with combination of time/expansion periods.") + if len(array) == time_periods: print(f"Repeating array across {expansion_periods} expansion period(s).") for p in range(expansion_periods): @@ -455,6 +464,7 @@ def generate_dict_with_pyomo_keys_from_array(array, time_periods: int, expansion for t in range(time_periods): d[(p, t)] = array[i] i += 1 + return d diff --git a/src/echo/validators.py b/src/echo/validators.py index 4933c86..8fa3d19 100644 --- a/src/echo/validators.py +++ b/src/echo/validators.py @@ -1,9 +1,15 @@ +from collections.abc import Iterable +from typing import Any + import numpy as np from pydantic import Field from echo.exceptions import validate +FloatData = dict[Any, float] | list[float] | set[float] | float | np.ndarray + + class ArrayType(np.ndarray): numpyArray: np.ndarray = Field(default_factory=lambda: np.zeros(10)) @@ -22,12 +28,12 @@ class Config: arbitrary_types_allowed = True -def var_in_range(var1, range_min, range_max): +def var_in_range(var1: float, range_min: float, range_max: float): if var1 < range_min or var1 > range_max: return ValueError() -def is_non_negative(v, err_msg): +def is_non_negative(v: FloatData, err_msg: str) -> FloatData: if v is not None: if hasattr(v, "__iter__"): if isinstance(v, dict): @@ -41,10 +47,11 @@ def is_non_negative(v, err_msg): else: if v < 0: raise ValueError(err_msg) + return v -def is_non_positive(v, err_msg): +def is_non_positive(v: FloatData, err_msg: str) -> FloatData: if v is not None: if hasattr(v, "__iter__"): if type(v) is dict: @@ -61,32 +68,32 @@ def is_non_positive(v, err_msg): return v -def import_cons_check(v): +def import_cons_check(v: FloatData) -> FloatData: v = is_non_negative(v, "Import constraint should be positive, following positive load convention") return v -def export_cons_check(v): +def export_cons_check(v: FloatData) -> FloatData: v = is_non_positive(v, "Export constraint should be negative following positive load convention.") return v -def nonnegative_load(v): +def nonnegative_load(v: FloatData) -> FloatData: v = is_non_negative(v, "Load array entries should all be non negative.") return v -def nonpositive_generation(v): +def nonpositive_generation(v: FloatData) -> FloatData: v = is_non_positive(v, "Generation array entries should all be non positive.") return v -def nonnegative_costs(v): +def nonnegative_costs(v: FloatData) -> FloatData: v = is_non_negative(v, "Costs should be positive") return v -def dod_checks(cls, values): +def dod_checks(cls, values: dict) -> dict: """Validator for depth of discharge.""" # Check which dod representation we have dod_lim = values.get("depth_of_discharge_limit") @@ -125,7 +132,7 @@ def check_initial_state_of_charge_within_bounds( ) -def check_bound_order(cls, values): +def check_bound_order(cls, values: dict) -> dict: """Checks that lower bound is smaller than upper bound.""" lb = values.get("lower_bound") ub = values.get("upper_bound") @@ -141,7 +148,7 @@ def check_bound_order(cls, values): return values -def node_unit_validator(cls, values): +def node_unit_validator(cls, values: dict) -> dict: """Checks that a tellegen and aggregation nodes' ports all have the same units.""" ports = values.get("ports") u = None @@ -160,7 +167,7 @@ def node_unit_validator(cls, values): return values -def validate_piecewise_arrays(cls, values): +def validate_piecewise_arrays(cls, values: dict) -> dict: input_points = values.get("input_points") output_points = values.get("output_points") if input_points is not None and output_points is not None: @@ -174,7 +181,7 @@ def validate_piecewise_arrays(cls, values): return values -def set_bounds_from_piecewise_points(cls, values): +def set_bounds_from_piecewise_points(cls, values: dict) -> dict: input_points = values.get("input_points") output_points = values.get("output_points") if input_points is not None and output_points is not None: @@ -185,7 +192,7 @@ def set_bounds_from_piecewise_points(cls, values): return values -def set_output_bounds_from_input_bounds_and_cop_and_startup_cop(cls, values): +def set_output_bounds_from_input_bounds_and_cop_and_startup_cop(cls, values: dict) -> dict: cop = values.get("cop") eta = values.get("startup_cop") max_in = values.get("max_input") @@ -198,7 +205,7 @@ def set_output_bounds_from_input_bounds_and_cop_and_startup_cop(cls, values): return values -def validate_startup_efficiency(cls, values): +def validate_startup_efficiency(cls, values: dict) -> dict: cop = values.get("cop") eta = values.get("startup_cop") if eta is not None: @@ -206,7 +213,7 @@ def validate_startup_efficiency(cls, values): return values -def validate_partial_load_cop(cls, values): +def validate_partial_load_cop(cls, values: dict) -> dict: partial_load_cop = values.get("partial_load_cop") for k, v in partial_load_cop.items(): validate( @@ -220,7 +227,7 @@ def validate_partial_load_cop(cls, values): return values -def validate_temperature_dependent_cop(cls, values): +def validate_temperature_dependent_cop(cls, values: dict) -> dict: """Validate temperature dependent cop dictionary""" temperature_cop_coeff = values.get("temperature_dependent_cop") for k, v in temperature_cop_coeff.items(): @@ -238,12 +245,12 @@ def validate_temperature_dependent_cop(cls, values): return values -def non_negative_cop_check(v): +def non_negative_cop_check(v: FloatData) -> FloatData: v = is_non_negative(v, "Coefficient of performance for heating and cooling must be given as non_negative value") return v -def validate_partition_ports(cls, values): +def validate_partition_ports(cls, values: dict) -> dict: """Validate that set of ports defined across different partitions are unique""" partitions = values.get("partitions") port_name_list = [_port.port_name for v in partitions.values() for _port in v] From cd62586a48a78ccae1b43ef7bd88a7b6d7e9b731 Mon Sep 17 00:00:00 2001 From: explodingdinosaurs Date: Mon, 22 Jun 2026 17:17:32 +1000 Subject: [PATCH 44/44] Updating type hints. Minor formatting. Very minor refactor. --- pyproject.toml | 7 +- src/echo/models/agnostic.py | 6 +- src/echo/models/prebuilt.py | 2 +- src/echo/models/thermal.py | 2 +- src/echo/objectives/contingency.py | 2 +- src/echo/objectives/power.py | 2 +- src/echo/objectives/tariff.py | 16 +-- src/echo/optimiser.py | 2 +- src/echo/utils.py | 119 +++++++++++++--------- src/echo/validators.py | 12 +-- tests/test_evs.py | 2 - tests/test_thermal_models_optimisation.py | 21 +++- 12 files changed, 112 insertions(+), 81 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 18398b2..3a826d8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -88,15 +88,12 @@ line-length = 120 [tool.ruff.lint] select = ["E", "W", "F", "I", "S", "C90", "B", "UP", "ANN", "N"] -[tool.ruff.lint.flake8-annotations] -allow-star-arg-any = true -suppress-dummy-args = true - [tool.ruff.lint.mccabe] max-complexity = 15 [tool.ruff.lint.per-file-ignores] -"tests/**" = ["S", "ANN", "N"] +"src/**" = ["ANN003"] +"tests/**" = ["S", "ANN", "N", "B017"] [tool.ty.src] include = ["src", "tests"] diff --git a/src/echo/models/agnostic.py b/src/echo/models/agnostic.py index 8aebe68..44e468a 100644 --- a/src/echo/models/agnostic.py +++ b/src/echo/models/agnostic.py @@ -108,12 +108,12 @@ def add_sink_profile_from_array(self, sink_values, expansion_periods=1, time_per class Demand(Sink): - def add_demand_profile(self, demand: dict): + def add_demand_profile(self, demand: dict) -> None: self.set_initial_value(demand) def add_demand_profile_from_array( self, demand: TimeExpandableType, expansion_periods=1, time_periods: int | None = None - ): + ) -> None: self.set_initial_value_from_array(array=demand, expansion_periods=expansion_periods, time_periods=time_periods) @@ -654,7 +654,7 @@ def trip_slack(self) -> str: return "trip_slack_" + self.port_name @root_validator - def check_soc_conserv_has_cost(cls, values): + def check_soc_conserv_has_cost(cls, values: dict) -> dict: soc_conserv = values.get("soc_conserv") soc_conserv_cost = values.get("soc_conserv_cost") available = values.get("available") diff --git a/src/echo/models/prebuilt.py b/src/echo/models/prebuilt.py index 2cd4b14..796ac5d 100644 --- a/src/echo/models/prebuilt.py +++ b/src/echo/models/prebuilt.py @@ -1,6 +1,6 @@ -from pyomo.core.expr import EqualityExpression import pyomo.environ as en from pydantic import NonNegativeFloat, PositiveFloat +from pyomo.core.expr import EqualityExpression from echo.configuration import Units from echo.models.agnostic import Demand, FlexPort, FlexSink, InputOutputNode, OffOrConstrainedPort diff --git a/src/echo/models/thermal.py b/src/echo/models/thermal.py index 5c04412..22c218b 100644 --- a/src/echo/models/thermal.py +++ b/src/echo/models/thermal.py @@ -503,7 +503,7 @@ def set_flow_constraints_one_port(self) -> None: self.ports[self.input_output_port_ref].export_constraint = FlowConstraint.Fixed self.ports[self.input_output_port_ref].export_constraint_value = self.discharging_power_limit - def update(self, ambient_temp) -> None: + def update(self, ambient_temp: dict[tuple[int, int], float]) -> None: self.ambient_temp = ambient_temp def set_ports(self, input_port: FlexSink, output_port: FlexSource) -> None: diff --git a/src/echo/objectives/contingency.py b/src/echo/objectives/contingency.py index a6efb7e..45dd595 100644 --- a/src/echo/objectives/contingency.py +++ b/src/echo/objectives/contingency.py @@ -1,6 +1,6 @@ -from pyomo.core.expr import InequalityExpression import pyomo.environ as en from pydantic import PositiveFloat +from pyomo.core.expr import InequalityExpression from echo.models.agnostic import Storage from echo.models.base import Path diff --git a/src/echo/objectives/power.py b/src/echo/objectives/power.py index 7a17804..46261f4 100644 --- a/src/echo/objectives/power.py +++ b/src/echo/objectives/power.py @@ -1,6 +1,6 @@ -from pyomo.core.expr import InequalityExpression import pyomo.environ as en from pydantic import PositiveFloat +from pyomo.core.expr import InequalityExpression from echo.models.agnostic import Storage from echo.models.base import Port diff --git a/src/echo/objectives/tariff.py b/src/echo/objectives/tariff.py index e16020c..0dac106 100644 --- a/src/echo/objectives/tariff.py +++ b/src/echo/objectives/tariff.py @@ -3,10 +3,10 @@ import numpy as np import pandas as pd -from pyomo.core.expr import InequalityExpression import pyomo.environ as en import shortuuid from pydantic import Field, NonNegativeFloat, NonPositiveFloat, PositiveFloat, PositiveInt, root_validator, validator +from pyomo.core.expr import InequalityExpression from echo.exceptions import validate from echo.models.base import BaseModel as EchoBaseModel @@ -21,7 +21,7 @@ class Tariff(Objective): expansion_periods: PositiveInt | None = 1 @staticmethod - def return_tariff_dict(array, expansion_periods): + def return_tariff_dict(array: list[float] | np.ndarray, expansion_periods: int) -> dict: # todo update this to work for multiple expansion periods keys = [(x, i) for x in range(expansion_periods) for i in range(len(array))] vals = dict(zip(keys, array, strict=True)) @@ -118,7 +118,7 @@ def num_price_bands(self) -> int: return len(self.rates) @root_validator - def check_block_rates(cls, values): + def check_block_rates(cls, values: dict) -> dict: validate( len(values.get("blocks")) + 1 == len(values.get("rates")), "Enter one more rate than num blocks", @@ -126,7 +126,7 @@ def check_block_rates(cls, values): return values @root_validator(pre=True) - def set_reset_index(cls, values): + def set_reset_index(cls, values: dict) -> dict: rp = values.get("reset_periods") if rp is not None: values["reset_index"] = en.RangeSet(0, len(rp) - 1) @@ -367,7 +367,7 @@ class Window(EchoBaseModel): reset_periods: ResetPeriod | None = None @validator("time_periods") - def non_overlapping_periods(cls, v): + def non_overlapping_periods(cls, v: list[TimePeriod]) -> list[TimePeriod]: for i in range(len(v)): for j in range(i + 1, len(v)): if v[i].overlaps(v[j]): @@ -467,7 +467,7 @@ def window_active(self) -> str: return "window_active_" + self.name @root_validator(pre=True) - def check_reset_periods(cls, values): + def check_reset_periods(cls, values: dict) -> dict: rp = values.get("reset_periods") window_array = values.get("window_array") if rp is not None: @@ -483,7 +483,7 @@ def check_reset_periods(cls, values): return values @root_validator - def check_import_or_export(cls, values): + def check_import_or_export(cls, values: dict) -> dict: validate( values.get("import_demand") is True or values.get("export_demand") is True, ( @@ -495,7 +495,7 @@ def check_import_or_export(cls, values): return values @root_validator(pre=True) - def check_name(cls, values): + def check_name(cls, values: dict) -> dict: if not values.get("uid"): values["uid"] = shortuuid.uuid() diff --git a/src/echo/optimiser.py b/src/echo/optimiser.py index f82ddcf..1505b0a 100644 --- a/src/echo/optimiser.py +++ b/src/echo/optimiser.py @@ -306,7 +306,7 @@ def optimise( objective_set=objective_set, ) - def objective_function(model: EchoConcreteModel): + def objective_function(model: EchoConcreteModel) -> en.numeric_expr.NumericExpression: return objective model.total_cost = en.Objective(rule=objective_function, sense=en.minimize) diff --git a/src/echo/utils.py b/src/echo/utils.py index 52412b0..a03827f 100644 --- a/src/echo/utils.py +++ b/src/echo/utils.py @@ -1,11 +1,12 @@ +from collections.abc import Callable from dataclasses import dataclass -from typing import Callable, Union import numpy as np import numpy.typing as npt import orjson as orjson import pandas as pd import pyomo.environ as en +from pyomo.core import Expression, RangeSet from sklearn import linear_model from echo.configuration import Flows @@ -14,18 +15,9 @@ from echo.models.scenario import EchoConcreteModel from echo.validators import ArrayType +DataArray = list[float] | set[float] | np.ndarray -def clamp(n, smallest, largest): - return max(smallest, min(n, largest)) - - -def _to_values(profile, key): - if isinstance(profile, dict): - return profile[key] - return dict(enumerate(profile[key].values)) - - -TimeExpandableType = Union[int, float, list[int | float], list[list[int | float]]] +TimeExpandableType = float | list[float] | list[list[float]] """TimeExpandableType Variables with type `TimeExpandableType` should only contain numbers (int or float). @@ -39,6 +31,10 @@ class UnexpandableTimeSeriesDataError(Exception): pass +def clamp(n: float, smallest: float, largest: float) -> float: + return max(smallest, min(n, largest)) + + @dataclass class TimeSeriesData: """A dataclass to hold a compressed way of describing time series data. @@ -214,27 +210,35 @@ def set_var_bounds_from_dict(model: EchoConcreteModel, var_name: str, ub: dict | var[k].setub(i) -def generate_array_constraint(constraint, time_periods: int, expansion_periods: int) -> dict: +def generate_array_constraint( + constraint: float | list[float] | np.ndarray, time_periods: int, expansion_periods: int +) -> dict: """ + Args: constraint: float or array Returns: d: a formatted dict to be used in constraining a variable """ + d = {} + if (type(constraint) is float) or (type(constraint) is int): for p in range(expansion_periods): for t in range(time_periods): d[(p, t)] = constraint + elif hasattr(constraint, "__iter__"): # Check length if (len(constraint) != time_periods) or (len(constraint) != time_periods * expansion_periods): raise ValueError("Array constraint length is not consistent with time periods/expansion periods.") + if len(constraint) == time_periods: # Can tile across expansion periods for p in range(expansion_periods): for t in range(time_periods): d[(p, t)] = constraint[t] + if len(constraint) == time_periods * expansion_periods: # No tiling i = 0 @@ -245,14 +249,9 @@ def generate_array_constraint(constraint, time_periods: int, expansion_periods: return d -# class PretendArray: -# def __init__(self, var): -# self.var = var -# -# # initialisation check - - -def fix_port_variable(model: EchoConcreteModel, var_name: str, new_values: ArrayType, expansion_periods=1): +def fix_port_variable( + model: EchoConcreteModel, var_name: str, new_values: ArrayType, expansion_periods: int = 1 +) -> None: """ Updates existing pyomo variable to have fixed values. Args: @@ -269,31 +268,41 @@ def fix_port_variable(model: EchoConcreteModel, var_name: str, new_values: Array var.fix() -def generate_input_output_values_from_polynomial_coeff_array(coeff_array, pts): - """ - Generates x and y values for the polynomial function with coefficients defined by the coeff array +def generate_input_output_values_from_polynomial_coeff_array( + coeff_array: list[float], pts: list[float] +) -> tuple[list[float], list[float]]: + """Generates x and y values for the polynomial function with coefficients defined by the coeff array. + Args: coeff array: list of polynomial function coefficients pts: list of x values for which we want to evaluate the function described by the coeff array + + Returns: + x: The pts array returned. + y: List of values at values of x for polynomial coefficients coeff_array. """ x = pts y = np.zeros(len(x)) n = len(coeff_array) + for i in range(len(y)): for j in range(n): y[i] += np.power(x[i], n - j) * coeff_array[j] + return x, y -def generate_piecewise_input_output_arrays(coeff_array, pts): - """ - Generates x and y values for the polynomial function with coefficients defined by the coeff array +def generate_piecewise_input_output_arrays( + coeff_array: list[float], pts: list[float] +) -> tuple[list[float], list[float]]: + """Generates x and y values for the polynomial function with coefficients defined by the coeff array + Args: coeff array: list of polynomial function coefficients, indexed by time pts: list of x values for which we want to evaluate the function described by the coeff array """ - + # TODO: This seems to be a duplicate of generate_input_output_values_from_polynomial_coeff_array(). x = pts y = np.zeros(len(x)) n = len(coeff_array) @@ -303,24 +312,30 @@ def generate_piecewise_input_output_arrays(coeff_array, pts): return x, y -def do_multivariate_regression(X, y): - """ - Performs multivariate regression on provided data. +def do_multivariate_regression( + x: list[list[float]] | np.ndarray, y: list[float] | list[list[float]] | np.ndarray +) -> tuple[tuple[np.ndarray, float], float]: + """Performs multivariate regression on provided data. + + Implementation of sklean.linear_model.LinearRegression. + Args: - X: - Y: + x : Test samples. Array-like of shape (n_samples, n_features). + y : array-like of shape (n_samples,) or (n_samples, n_outputs). True values for x. Returns: coefficient array R^2 """ regr = linear_model.LinearRegression() - regr.fit(X, y) + regr.fit(x, y) - return regr.coef_, regr.score(X, y) + return regr.coef_, regr.score(x, y) -def create_input_output_pts_from_coefficients(temp_coef, input_coef, temperature_array, xpts, time_periods): +def create_input_output_pts_from_coefficients( + temp_coef: list[float], input_coef: list[float], temperature_array: list[float], xpts: int, time_periods: int +) -> tuple[dict, dict]: """Generates a set of output (y) points based on two coefficient arrays, one that applies to the input variable and one that applies to temperature, and non decreasing xpts. Args: @@ -348,9 +363,7 @@ def create_input_output_pts_from_coefficients(temp_coef, input_coef, temperature temp_orders = [i for i in range(num_temp_cols)][::-1] input_orders = [i for i in range(num_input_cols)][::-1] - T = time_periods # get the optimisation time period - - for t in range(T): + for t in range(time_periods): # collect our temperature terms into a single term for this time period temp_term = 0 for temp_col in range(num_temp_cols): # Iterate through all our temperature terms and add them up @@ -372,7 +385,11 @@ def create_input_output_pts_from_coefficients(temp_coef, input_coef, temperature return x, y -def populate_values_across_time_and_expansion_indices(values, time_periods, expansion_periods): +def populate_values_across_time_and_expansion_indices( + values: float | DataArray, + time_periods: int, + expansion_periods: int, +) -> dict[tuple[int, int], float]: """Takes some input (values) - could be array, or int. Adds a time_period and expansion period key. Example: @@ -391,28 +408,36 @@ def populate_values_across_time_and_expansion_indices(values, time_periods, expa return output -def create_named_constraint_with_rule(model: EchoConcreteModel, con_name: str, rule): +def create_named_constraint_with_rule(model: EchoConcreteModel, con_name: str, rule: Expression) -> None: """Util function for creating pyomo constraints from a rule.""" setattr(model, con_name, en.Constraint(model.Expansion, model.Time, rule=rule)) -def tile_array_over_expansion_periods(array, expansion_periods): +def tile_array_over_expansion_periods(array: DataArray, expansion_periods: int) -> np.ndarray: """Constructs an array by repeating 'array' input x times where x = num of expansion periods""" output = np.tile(np.array(array), expansion_periods) return output -def to_initial_values(profile: pd.DataFrame, key: str, time_periods: int, expansion_periods: int, scaling: int = 1): +def to_initial_values( + profile: pd.DataFrame | None, + key: str, + time_periods: int, + expansion_periods: int, + scaling: int = 1, +) -> dict[tuple[int, int], float]: + if profile is None: raise ValueError("No profile dataframe defined. Check that you added the profile to the optimiser.") + return to_initial_values_for_array( values=profile[key].values, time_periods=time_periods, expansion_periods=expansion_periods, scaling=scaling ) def to_initial_values_for_array( - values: np.array, time_periods: int | None = None, expansion_periods: int = 1, scaling: int = 1 -): + values: np.ndarray, time_periods: int | None = None, expansion_periods: int = 1, scaling: int = 1 +) -> dict[tuple[int, int], float]: if values is None or values.size == 0: raise ValueError("No values defined.") scaled_values = values * scaling @@ -435,7 +460,7 @@ def orjson_dumps(v: dict, *, default: Callable | None) -> str: def generate_dict_with_pyomo_keys_from_array( - array, + array: DataArray, time_periods: int, expansion_periods: int = 1, ) -> dict[tuple[int, int], float]: @@ -468,7 +493,7 @@ def generate_dict_with_pyomo_keys_from_array( return d -def domain_from_flow(flow: Flows): +def domain_from_flow(flow: Flows) -> RangeSet: match flow: case Flows.Both: domain = en.Reals diff --git a/src/echo/validators.py b/src/echo/validators.py index 8fa3d19..5933b04 100644 --- a/src/echo/validators.py +++ b/src/echo/validators.py @@ -1,4 +1,4 @@ -from collections.abc import Iterable +from collections.abc import Generator from typing import Any import numpy as np @@ -6,7 +6,6 @@ from echo.exceptions import validate - FloatData = dict[Any, float] | list[float] | set[float] | float | np.ndarray @@ -14,12 +13,12 @@ class ArrayType(np.ndarray): numpyArray: np.ndarray = Field(default_factory=lambda: np.zeros(10)) @classmethod - def __get_validators__(cls): + def __get_validators__(cls) -> Generator: yield cls.validate # todo actually validate this type @classmethod - def validate(cls, v): + def validate(cls, v: np.ndarray) -> np.ndarray: if type(v) is str: raise ValueError("Array Type cannot be a string.") return v @@ -28,7 +27,7 @@ class Config: arbitrary_types_allowed = True -def var_in_range(var1: float, range_min: float, range_max: float): +def var_in_range(var1: float, range_min: float, range_max: float) -> ValueError | None: if var1 < range_min or var1 > range_max: return ValueError() @@ -128,7 +127,8 @@ def check_initial_state_of_charge_within_bounds( # Check initial soc is within bounds if (initial_state_of_charge < min_soc) or (initial_state_of_charge > max_capacity): raise ValueError( - f"Initial state of charge, {initial_state_of_charge}, must be between min soc, {min_soc}, and max capacity, {max_capacity}" + f"Initial state of charge, {initial_state_of_charge}, must be between min soc, {min_soc}," + f"and max capacity, {max_capacity}" ) diff --git a/tests/test_evs.py b/tests/test_evs.py index 438e510..3085cc3 100644 --- a/tests/test_evs.py +++ b/tests/test_evs.py @@ -3441,8 +3441,6 @@ def test_set_state_attrs_without_dummy_variables_for_v2g(): interval_duration=interval_duration, ) - # Ensure the ports on the edge connecting the ev and the connection_point - system.get_node("ev").ports # Optimising after setting stateful parameters will work now optimise( scenario_settings=ScenarioSettings( diff --git a/tests/test_thermal_models_optimisation.py b/tests/test_thermal_models_optimisation.py index 38de935..072dfe4 100644 --- a/tests/test_thermal_models_optimisation.py +++ b/tests/test_thermal_models_optimisation.py @@ -717,6 +717,7 @@ def test_chiller_operation(): for _output, _input in zip( optimise_results.values(chiller.ports[chiller.thermal_output_port_ref].port_name, 0), optimise_results.values(chiller.ports[chiller.electrical_input_port_ref].port_name, 0), + strict=True, ): if _input == 0: assert _output == 0 @@ -776,6 +777,7 @@ def test_chiller_with_heat_rejection(): for _output, _input in zip( optimise_results.values(chiller.ports[chiller.thermal_output_port_ref].port_name, 0), optimise_results.values(chiller.ports[chiller.electrical_input_port_ref].port_name, 0), + strict=True, ): if _input == 0: assert _output == 0 @@ -845,6 +847,7 @@ def test_chiller_with_temperature_cop(): for _output, _input in zip( optimise_results.values(chiller.ports[chiller.thermal_output_port_ref].port_name, 0), optimise_results.values(chiller.ports[chiller.electrical_input_port_ref].port_name, 0), + strict=True, ): if _input == 0: assert _output == 0 @@ -926,6 +929,7 @@ def test_chiller_with_pl_cop(): for _output, _input in zip( optimise_results.values(chiller.ports[chiller.thermal_output_port_ref].port_name, 0), optimise_results.values(chiller.ports[chiller.electrical_input_port_ref].port_name, 0), + strict=True, ): if _input == 0: assert _output == 0 @@ -990,6 +994,7 @@ def test_simple_chiller(): for _output, _input in zip( optimise_results.values(chiller.ports["output"].port_name), optimise_results.values(chiller.ports["input"].port_name), + strict=True, ): if _input == 0: assert _output == 0 @@ -998,7 +1003,7 @@ def test_simple_chiller(): assert _output != 0 chiller_actual_cop.append(round(_output / _input, 3)) # Assert that when output is non-zero, the actual COP equals provided COP - for _set_cop, _actual_cop in zip(cooling_cop_array, chiller_actual_cop): + for _set_cop, _actual_cop in zip(cooling_cop_array, chiller_actual_cop, strict=True): if not _actual_cop == 0: assert _set_cop == _actual_cop @@ -1055,6 +1060,7 @@ def test_simple_heatpump_single_output(): for _output, _input in zip( optimise_results.values(heatpump.ports[heatpump.thermal_output_port_ref].neg), optimise_results.values(heatpump.ports[heatpump.electrical_input_port_ref].port_name), + strict=True, ): if _input == 0: assert _output == 0 @@ -1063,7 +1069,7 @@ def test_simple_heatpump_single_output(): heating_cop_actual.append(-1 * round(_output / _input, 3)) # Assert that when output is non-zero, the actual COP equals provided COP - for _set_cop, _actual_cop in zip(heating_cop_array, heating_cop_actual): + for _set_cop, _actual_cop in zip(heating_cop_array, heating_cop_actual, strict=True): if not _actual_cop == 0: assert _set_cop == _actual_cop @@ -1071,6 +1077,7 @@ def test_simple_heatpump_single_output(): for _output, _input in zip( optimise_results.values(heatpump.ports[heatpump.thermal_output_port_ref].pos), optimise_results.values(heatpump.ports[heatpump.electrical_input_port_ref].port_name), + strict=True, ): if _input == 0: assert _output == 0 @@ -1079,7 +1086,7 @@ def test_simple_heatpump_single_output(): cooling_cop_actual.append(round(_output / _input, 3)) # Assert that when output is non-zero, the actual COP equals provided COP - for _set_cop, _actual_cop in zip(cooling_cop_array, cooling_cop_actual): + for _set_cop, _actual_cop in zip(cooling_cop_array, cooling_cop_actual, strict=True): if not _actual_cop == 0: assert _set_cop == _actual_cop # Assert that all electrical power consumed is equal to the power used for heating + power used for cooling @@ -1139,6 +1146,7 @@ def test_simple_heatpump_dual_output(): for _output, _input in zip( optimise_results.values(heatpump.heating_out_adjusted), optimise_results.values(heatpump.power_to_heat), + strict=True, ): if _input == 0: assert _output == 0 @@ -1147,7 +1155,7 @@ def test_simple_heatpump_dual_output(): heating_cop_actual.append(-1 * round(_output / _input, 3)) # Assert that when output is non-zero, the actual COP equals provided COP - for _set_cop, _actual_cop in zip(heating_cop_array, heating_cop_actual): + for _set_cop, _actual_cop in zip(heating_cop_array, heating_cop_actual, strict=True): if not _actual_cop == 0: assert _set_cop == _actual_cop @@ -1155,6 +1163,7 @@ def test_simple_heatpump_dual_output(): for _output, _input in zip( optimise_results.values(heatpump.ports[heatpump.cooling_output_port_ref].port_name), optimise_results.values(heatpump.power_to_cool), + strict=True, ): if _input == 0: assert _output == 0 @@ -1163,7 +1172,7 @@ def test_simple_heatpump_dual_output(): cooling_cop_actual.append(round(_output / _input, 3)) # Assert that when output is non-zero, the actual COP equals provided COP - for _set_cop, _actual_cop in zip(cooling_cop_array, cooling_cop_actual): + for _set_cop, _actual_cop in zip(cooling_cop_array, cooling_cop_actual, strict=True): if not _actual_cop == 0: assert _set_cop == _actual_cop # Assert that all electrical power consumed is equal to the power used for heating + power used for cooling @@ -1228,6 +1237,7 @@ def test_parameterised_heatpump_single_output(): for _output, _input in zip( optimise_results.values(heatpump.ports[heatpump.thermal_output_port_ref].neg), optimise_results.values(heatpump.ports[heatpump.electrical_input_port_ref].port_name), + strict=True, ): if _input == 0: assert _output == 0 @@ -1249,6 +1259,7 @@ def test_parameterised_heatpump_single_output(): for _output, _input in zip( optimise_results.values(heatpump.ports[heatpump.thermal_output_port_ref].pos), optimise_results.values(heatpump.ports[heatpump.electrical_input_port_ref].port_name), + strict=True, ): if _input == 0: assert _output == 0