mirror of
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Merge branch 'main' of https://github.com/csunny/DB-GPT into dev
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23
.github/workflows/pylint.yml
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.github/workflows/pylint.yml
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name: Pylint
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on: [push]
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jobs:
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build:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.8", "3.9", "3.10"]
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v3
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install pylint
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- name: Analysing the code with pylint
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run: |
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pylint $(git ls-files '*.py')
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39
.github/workflows/python-publish.yml
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.github/workflows/python-publish.yml
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# This workflow will upload a Python Package using Twine when a release is created
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# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries
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# This workflow uses actions that are not certified by GitHub.
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# They are provided by a third-party and are governed by
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# separate terms of service, privacy policy, and support
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# documentation.
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name: Upload Python Package
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on:
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release:
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types: [published]
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permissions:
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contents: read
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python
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uses: actions/setup-python@v3
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with:
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python-version: '3.x'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install build
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- name: Build package
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run: python -m build
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- name: Publish package
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uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
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with:
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user: __token__
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password: ${{ secrets.PYPI_API_TOKEN }}
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@ -44,7 +44,7 @@ The Generated SQL is runable.
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1. First you need to install python requirements.
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```
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python>=3.9
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pip install -r requirements
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pip install -r requirements.txt
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```
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or if you use conda envirenment, you can use this command
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```
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@ -63,7 +63,7 @@ The password just for test, you can change this if necessary
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# Install
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1. 基础模型下载
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关于基础模型, 可以根据[vicuna](https://github.com/lm-sys/FastChat/blob/main/README.md#model-weights)合成教程进行合成。
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如果此步有困难的同学,也可以直接使用[Hugging Face](https://huggingface.co/)上的模型进行替代。 替代模型: [vicuna-13b](https://huggingface.co/Tribbiani/vicuna-13b)
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如果此步有困难的同学,也可以直接使用[Hugging Face](https://huggingface.co/)上的模型进行替代. [替代模型](https://huggingface.co/Tribbiani/vicuna-7b)
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2. Run model server
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```
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@ -86,4 +86,4 @@ python webserver.py
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# Contribute
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[Contribute](https://github.com/csunny/DB-GPT/blob/main/CONTRIBUTING)
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# Licence
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[MIT](https://github.com/csunny/DB-GPT/blob/main/LICENSE)
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[MIT](https://github.com/csunny/DB-GPT/blob/main/LICENSE)
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