Update

Author: roboes

.pre-commit-config.yaml

@@ -57,10 +57,10 @@ repos:
         args: ['--dialect=mysql', '--exclude-rules=ambiguous.column_count, layout.long_lines, references.keywords']
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.15.22
+    rev: v0.16.0
     hooks:
       - id: ruff
-        args: ['--fix', '--exit-non-zero-on-fix', '--ignore=B007,B023,C408,D103,E203,E266,E402,E501,F821,S105,S110,S310,SIM105'] # ruff-pre-commit does not recognize these rule selectors: B902,CM001,S410,SCS109,W503,W504
+        args: ['--fix', '--exit-non-zero-on-fix', '--ignore=B007,B023,BLE001,C408,D103,E203,E266,E402,E501,F821,S105,S110,S310,SIM105'] # ruff-pre-commit does not recognize these rule selectors: B902,CM001,S410,SCS109,W503,W504
       - id: ruff-format
         args: ['--line-length=220', '--config', "format.quote-style='single'", '--config', "format.indent-style='space'"]
 

documents/file-management/rename-paths.py

@@ -14,11 +14,10 @@
 
 
 # Import packages
-import os
 import glob
-from pathlib import Path
+import os
 import re
-
+from pathlib import Path
 
 # Settings
 
@@ -41,23 +40,23 @@ def rename_paths(*, pattern, repl, preview=True):
     if len(files_rename) > 0:
         print('Files to be renamed:')
         print('\n'.join(files_rename))
-        print('')
+        print()
 
     else:
         print('No files to be renamed.')
-        print('')
+        print()
 
     # Filter for folders with specific regular expression pattern
     folders_rename = [path for path in paths if os.path.isdir(path) and re.search(pattern=pattern, string=Path(path).name, flags=0)]
 
     if len(folders_rename) > 0:
         print('Folders to be renamed:')
         print('\n'.join(folders_rename))
-        print('')
+        print()
 
     else:
         print('No folders to be renamed.')
-        print('')
+        print()
 
     # Rename files
     if len(files_rename) > 0:
@@ -85,7 +84,7 @@ def rename_paths(*, pattern, repl, preview=True):
             if preview is False:
                 path.rename(target=path_name_new)
 
-        print('')
+        print()
 
     # Rename folders
     if len(folders_rename) > 0:
@@ -107,7 +106,7 @@ def rename_paths(*, pattern, repl, preview=True):
             if preview is False:
                 path.rename(target=path_name_new)
 
-        print('')
+        print()
 
 
 ##############

documents/microsoft-planner-tools/microsoft-planner-transform.py

@@ -14,16 +14,15 @@
 
 
 # Import packages
-from datetime import datetime
 import os
 import shutil
+from datetime import datetime
 
+import pandas as pd
+import xlwings as xw
 from openpyxl import load_workbook
 from openpyxl.utils import get_column_letter
 from openpyxl.worksheet.table import Table, TableStyleInfo
-import pandas as pd
-import xlwings as xw
-
 
 ###########
 # Functions
@@ -190,7 +189,7 @@ def microsoft_planner_transform(
 ):
     """Create a tasks summary for the most recent export and compare both existing and new tasks marked as completed during each month, saving the output as a Microsoft Excel file."""
     # Create variables
-    execution_start = datetime.now()
+    execution_start = datetime.now().astimezone()
 
     # Check if the output file needs to be copied to the output directory
     if os.path.dirname(input_filepath) != output_path:
@@ -325,7 +324,7 @@ def microsoft_planner_transform(
                             startcol=0,
                         )
 
-                    print('')
+                    print()
                     print(f"'{file_name}' file was updated in the '{output_path}' folder.")
 
             else:
@@ -358,7 +357,7 @@ def microsoft_planner_transform(
                             freeze_panes=(1, 0),
                         )
 
-                print('')
+                print()
                 print(f"'{file_name}' file was created and saved to the '{output_path}' folder.")
 
             if len(microsoft_planner_checklists_df) > 0:
@@ -404,8 +403,8 @@ def microsoft_planner_transform(
                     app.quit()
 
     # Execution time
-    print('')
-    print(f'Execution time: {datetime.now() - execution_start}')
+    print()
+    print(f'Execution time: {datetime.now().astimezone() - execution_start}')
 
 
 def microsoft_excel_pivot_table_refresh(*, input_filepath, sheet_name, pivot_table_name):
@@ -423,11 +422,11 @@ def microsoft_excel_pivot_table_refresh(*, input_filepath, sheet_name, pivot_tab
         # Save the workbook back to the file
         workbook.save(filename=input_filepath)
 
-        print('')
+        print()
         print(f"Pivot table '{pivot_table_name}' was refreshed.")
 
     else:
-        print('')
+        print()
         print(f"Pivot table '{pivot_table_name}' was not found.")
 
 

documents/microsoft-planner-tools/requirements-packages.py

@@ -15,10 +15,10 @@
 
 # Import packages
 import os
-import speech_recognition as sr
-from pydub import AudioSegment
 from datetime import datetime
 
+import speech_recognition as sr
+from pydub import AudioSegment
 
 ###########
 # Functions
@@ -43,7 +43,7 @@ def speech_to_text(*, mp3_path, output_directory, language):
     # Recognize the speech
     try:
         text = recognizer.recognize_google(audio_data=audio_data, language=language)
-        output_file_path = os.path.join(output_directory, f'recognized_text_{datetime.now().strftime("%Y%m%d_%H%M%S")}.txt')
+        output_file_path = os.path.join(output_directory, f'recognized_text_{datetime.now().astimezone().strftime("%Y%m%d_%H%M%S")}.txt')
         with open(file=output_file_path, mode='w', encoding='utf-8') as file_out:
             file_out.write(text)
         print(f'Text saved to {output_file_path}')

documents/speech-to-text/speech-to-text.py

@@ -16,9 +16,8 @@
 # Import packages
 import os
 
-import pandas as pd
 import numpy as np
-
+import pandas as pd
 
 ##############
 # Transactions

finances/dkb-bank-transactions.py

@@ -14,15 +14,14 @@
 
 
 # Import packages
-from importlib.util import spec_from_file_location
 import os
 import sys
+from importlib.util import spec_from_file_location
 
-from geopy.extra.rate_limiter import RateLimiter
-from geopy.geocoders import Nominatim
 import overpy
 import pandas as pd
-
+from geopy.extra.rate_limiter import RateLimiter
+from geopy.geocoders import Nominatim
 
 # Import custom packages
 sys.dont_write_bytecode = True

geographic-information-systems/geocoder/geocoder-examples.py

@@ -14,13 +14,12 @@
 
 
 # Import packages
-from importlib.util import spec_from_file_location
 import os
 import sys
+from importlib.util import spec_from_file_location
 
 import pandas as pd
 
-
 # Import custom packages
 sys.dont_write_bytecode = True
 

geographic-information-systems/geocoder/geocoder-tools-examples.py

@@ -14,16 +14,15 @@
 
 
 # Import packages
+import os
 from datetime import datetime
 from io import BytesIO
-import os
-from zipfile import ZipFile, ZIP_DEFLATED
+from zipfile import ZIP_DEFLATED, ZipFile
 
 import geopandas as gpd
 import pandas as pd
 import requests
 
-
 ###########
 # Functions
 ###########
@@ -81,7 +80,7 @@ def geocoder_country_code(*, df, shapefile_path):
 
     if world_boundaries.crs == 'EPSG:4326':
         # Create variables
-        execution_start = datetime.now()
+        execution_start = datetime.now().astimezone()
         df_len = len(df)
 
         df = (
@@ -96,7 +95,7 @@ def geocoder_country_code(*, df, shapefile_path):
         )
 
         # Execution time
-        print(f'Execution time: {datetime.now() - execution_start}')
+        print(f'Execution time: {datetime.now().astimezone() - execution_start}')
 
         if len(df) == df_len:
             # Return objects

geographic-information-systems/geocoder/geocoder-tools.py

@@ -13,10 +13,9 @@
 from datetime import datetime
 from itertools import batched
 
+import pandas as pd
 from geopy.extra.rate_limiter import RateLimiter
 from geopy.geocoders import Nominatim
-import pandas as pd
-
 
 # Settings
 
@@ -161,7 +160,7 @@ def geocoder(
 ):
     """Given a DataFrame input with location columns, split it into multiple chunks and run the geocoder, saving all chunks where the geocoder has already been run as a pickle file."""
     # Create variables
-    execution_start = datetime.now()
+    execution_start = datetime.now().astimezone()
 
     for column in df.columns[df.columns.str.startswith('address_')].tolist():
         # Remove leading/trailing whitespaces
@@ -335,7 +334,7 @@ def geocoder(
                 df_geolocation = None
 
     # Execution time
-    print(f'Execution time: {datetime.now() - execution_start}')
+    print(f'Execution time: {datetime.now().astimezone() - execution_start}')
 
     # Return objects
     return df_geolocation