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只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
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Docker image based on https://hub.docker.com/r/tiangolo/uvicorn-gunicorn-fastapi, with numpy, pandas, scipy, scikit-learn installed
python3.8, python3.8-20210706 https://github.com/biggates/uvicorn-gunicorn-fastapi-science-docker/blob/main/python3.8.dockerfile ~ 547.71 MB compressed
python3.8-slim, python3.8-slim-20210706 https://github.com/biggates/uvicorn-gunicorn-fastapi-science-docker/blob/main/python3.8-slim.dockerfile ~ 281.99 MB compressed
python3.8-20210204 ~ 550.91 MB compressed
python3.8-slim-20210204 ~ 277.45 MB compressed
If you use https://hub.docker.com/r/tiangolo/uvicorn-gunicorn-fastapi and has a Dockerfile like this:
dockerfileFROM tiangolo/uvicorn-gunicorn-fastapi:python3.8 COPY requirements.txt ./ RUN pip install --requirement requirements.txt COPY ./app /app
And in your requirements.txt contains numpy, pandas, scipy, etc. so building your docker image takes a long time.
Change the first line
dockerfileFROM tiangolo/uvicorn-gunicorn-fastapi:python3.8
to
dockerfileFROM biggates/uvicorn-gunicorn-fastapi-science:python3.8
The following pip packages are installed, as described in https://github.com/biggates/uvicorn-gunicorn-fastapi-science-docker/blob/main/requirements.txt:
20210706Package Version ----------------- --------- click 7.1.2 fastapi 0.65.2 gunicorn 20.0.4 joblib 1.0.1 matplotlib 3.4.2 numpy 1.21.0 pandas 1.3.0 pydantic 1.8.2 requests 2.25.1 scikit-learn 0.24.2 scipy 1.7.0 uvicorn 0.13.1 wfdb 3.4.0
20210204Package Version --------------- --------- click 7.1.1 fastapi 0.62.0 gunicorn 20.0.4 joblib 1.0.0 matplotlib 3.3.4 numpy 1.20.0 pandas 1.2.1 pydantic 1.7.3 requests 2.25.1 scikit-learn 0.24.1 scipy 1.6.0 uvicorn 0.11.3 wfdb 3.2.0
bashdocker build -t test -f python3.8.dockerfile .
bashdocker tag test biggates/uvicorn-gunicorn-fastapi-science:python3.8
bashdocker image push biggates/uvicorn-gunicorn-fastapi-science:python3.8
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
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