我有一个FastAPI应用程序,该应用程序在本地运行时按预期运行,但是,当我尝试在Docker容器中运行时,出现“内部服务器错误”。这是我的应用程序的代码:
from fastapi import FastAPI
from pydantic import BaseModel
import pandas as pd
from fbprophet import Prophet
class Data(BaseModel):
length: int
ds: list
y: list
model: str
changepoint: float = 0.5
daily: bool = False
weekly: bool = False
annual: bool = False
upper: float = None
lower: float = 0.0
national_holidays: str = None
app = FastAPI()
@app.post("/predict/")
async def create_item(data: Data):
# Create df from base model
df = pd.DataFrame(list(zip(data.ds, data.y)), columns =['ds', 'y'])
# Add the cap and floor to df for logistic model
if data.model == "logistic":
df['y'] = 10 - df['y']
df['cap'] = data.upper
df['floor'] = data.lower
# make basic prediction
m = Prophet(growth=data.model,
changepoint_prior_scale=data.changepoint,
weekly_seasonality=data.weekly,
daily_seasonality=data.daily,
yearly_seasonality=data.annual
)
# Add national holidays
if data.national_holidays is not None:
m.add_country_holidays(country_name=data.national_holidays)
# Fit data frame
m.fit(df)
# Create data frame for future
future = m.make_future_dataframe(periods=data.length)
# Add the cap and floor to future for logistic model
if data.model == "logistic":
future['cap'] = 6
future['floor'] = 1.5
# forecast
forecast = m.predict(future)
# Print values
print(list(forecast[['ds']].values))
# Return results
# {'ds': forecast[['ds']], 'yhat': forecast[['yhat']], 'yhat_lower': forecast[['yhat_lower']], 'yhat_upper': forecast[['yhat_upper']] }
return [forecast[['ds']], forecast[['yhat']], forecast[['yhat_lower']], forecast[['yhat_upper']]]
哪个在uvicorn main:app
上本地工作,但是在我使用此Dockerfile进行构建时却没有:
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7
COPY ./app /app
RUN pip install -r requirements.txt
并从
开始docker run -d --name mycontainer -p 8000:80 myimage
我在邮递员中看到Internal Server Error
。我的dockerfile或docker命令有问题吗?否则我该如何调试呢?
答案 0 :(得分:0)
在不使用-d
参数的情况下运行docker,您将获得更多线索。如果我猜到了,我可能会说您缺少一些python要求。