毕设&课程作业_基于FastAPI 的博客应用后端.zip

# nuntium A short description of the project ## Development Requirements - Python3.8.2 - Pip - Poetry (Python Package Manager) ### M.L Model Environment ```sh MODEL_PATH=./ml/model/ MODEL_NAME=model.pkl ``` ### Update `/predict` To update your machine learning model, add your `load` and `method` [change here](app/api/routes/predictor.py#L13) at `predictor.py` ## Installation ```sh python -m venv venv source venv/bin/activate make install ``` ## Runnning Localhost `make run` ## Deploy app `make deploy` ## Running Tests `make test` ## Runnning Easter Egg `make easter` ## Access Swagger Documentation > <http://localhost:8080/docs> ## Access Redocs Documentation > <http://localhost:8080/redoc> ## Project structure Files related to application are in the `app` or `tests` directories. Application parts are: app ├── api - web related stuff. │   └── routes - web routes. ├── core - application configuration, startup events, logging. ├── models - pydantic models for this application. ├── services - logic that is not just crud related. └── main.py - FastAPI application creation and configuration. │ tests - pytest