API description

1.エンドポイント

class Request(BaseModel):
    similarity : float
    date_difference : float

https://fast-api-production.up.railway.app/path/

• similarity : コサイン類似度・float

• date_difference : 日付のズレをmsにしたもの

@app.post("/predict/", response_model=Response)
async def demo_get_path_id(req_body: Request):
    try:
        ch_sec = req_body.date_id / 1000 / 1000
        date_std = (ch_sec - mean)/std
        new_data = np.array([[req_body.cos_id, date_std]])
        if ch_sec >= 400:
            return Response(data=[0, 1])
        else:
            return Response(data=[model.predict(new_data)[0],model.predict(new_data)[1]])

    except Exception as e:
        return Response(data=[-1, 1], error=str(e))

2.戻り値

class Response(BaseModel):
    data: [float, float]
    error: Optional[str] = None

{"res":[rate_true,rate_false]}

• rate_true : その人の落とし物である確率
• rate_false : その人の落とし物でない確率

---

FastAPI Example

This example starts up a FastAPI server.

✨ Features

• FastAPI
• Python 3

💁‍♀️ How to use

• Deploy using the button 👆
• Clone locally and install packages with Pip using pip install -r requirements.txt or Poetry using poetry install
• Connect to your project using railway link
• Run locally using uvicorn main:app --reload

📝 Notes

• To learn about how to use FastAPI with most of its features, you can visit the FastAPI Documentation.
• FastAPI provides automatic documentation to call and test your API directly from the browser. You can access it at /docs with Swagger or at /redoc with Redoc.