MetaGPT/setup.py at main · CBCYDDSWSW/MetaGPT · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
"""Setup script for MetaGPT."""
import subprocess
from pathlib import Path

from setuptools import Command, find_packages, setup


class InstallMermaidCLI(Command):
    """A custom command to run `npm install -g @mermaid-js/mermaid-cli` via a subprocess."""

    description = "install mermaid-cli"
    user_options = []

    def run(self):
        try:
            subprocess.check_call(["npm", "install", "-g", "@mermaid-js/mermaid-cli"])
        except subprocess.CalledProcessError as e:
            print(f"Error occurred: {e.output}")


here = Path(__file__).resolve().parent
long_description = (here / "README.md").read_text(encoding="utf-8")
requirements = (here / "requirements.txt").read_text(encoding="utf-8").splitlines()


extras_require = {
    "selenium": ["selenium>4", "webdriver_manager", "beautifulsoup4"],
    "search-google": ["google-api-python-client==2.94.0"],
    "search-ddg": ["duckduckgo-search~=4.1.1"],
    # "ocr": ["paddlepaddle==2.4.2", "paddleocr~=2.7.3", "tabulate==0.9.0"],
    "rag": [
        "llama-index-core==0.10.15",
        "llama-index-embeddings-azure-openai==0.1.6",
        "llama-index-embeddings-openai==0.1.5",
        "llama-index-embeddings-gemini==0.1.6",
        "llama-index-embeddings-ollama==0.1.2",
        "llama-index-llms-azure-openai==0.1.4",
        "llama-index-readers-file==0.1.4",
        "llama-index-retrievers-bm25==0.1.3",
        "llama-index-vector-stores-faiss==0.1.1",
        "llama-index-vector-stores-elasticsearch==0.1.6",
        "llama-index-vector-stores-chroma==0.1.6",
        "llama-index-postprocessor-cohere-rerank==0.1.4",
        "llama-index-postprocessor-colbert-rerank==0.1.1",
        "llama-index-postprocessor-flag-embedding-reranker==0.1.2",
        # "llama-index-vector-stores-milvus==0.1.23",
        "docx2txt==0.8",
    ],
}

extras_require["test"] = [
    *set(i for j in extras_require.values() for i in j),
    "pytest",
    "pytest-asyncio",
    "pytest-cov",
    "pytest-mock",
    "pytest-html",
    "pytest-xdist",
    "pytest-timeout",
    "connexion[uvicorn]~=3.0.5",
    "azure-cognitiveservices-speech~=1.31.0",
    "aioboto3~=12.4.0",
    "gradio==3.0.0",
    "google-api-core==2.17.1",
    "protobuf~=4.25.5",
    "pylint==3.0.3",
    "pybrowsers",
]

extras_require["pyppeteer"] = [
    "pyppeteer>=1.0.2"
]  # pyppeteer is unmaintained and there are conflicts with dependencies
extras_require["dev"] = (["pylint~=3.0.3", "black~=23.3.0", "isort~=5.12.0", "pre-commit~=3.6.0"],)
extras_require["android_assistant"] = [
    "pyshine==0.0.9",
    "opencv-python==4.6.0.66",
    "protobuf<3.20,>=3.9.2",
    "modelscope",
    "tensorflow==2.9.1; os_name == 'linux'",
    "tensorflow==2.9.1; os_name == 'win32'",
    "tensorflow-macos==2.9; os_name == 'darwin'",
    "keras==2.9.0",
    "torch",
    "torchvision",
    "transformers",
    "opencv-python",
    "matplotlib",
    "pycocotools",
    "SentencePiece",
    "tf_slim",
    "tf_keras",
    "pyclipper",
    "shapely",
    "groundingdino-py",
    "datasets==2.18.0",
    "clip-openai",
]

setup(
    name="metagpt",
    version="0.8.1",
    description="The Multi-Agent Framework",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/geekan/MetaGPT",
    author="Alexander Wu",
    author_email="alexanderwu@deepwisdom.ai",
    license="MIT",
    keywords="metagpt multi-agent multi-role programming gpt llm metaprogramming",
    packages=find_packages(exclude=["contrib", "docs", "examples", "tests*"]),
    python_requires=">=3.9, <3.12",
    install_requires=requirements,
    extras_require=extras_require,
    cmdclass={
        "install_mermaid": InstallMermaidCLI,
    },
    entry_points={
        "console_scripts": [
            "metagpt=metagpt.software_company:app",
        ],
    },
    include_package_data=True,
)