[英]Error: Failed to find Flask application or factory in module 'app'. Use 'FLASK_APP=app:name' to specify one
[英]Docker run error - Failed to find Flask application or factory in module "app". Use "FLASK_APP=app:name to specify one
嘗試 dockerize 這個燒瓶應用程序......運行以下
docker build --tag flask-website .
工作,輸出成功構建,成功標記。
編輯:下一個命令有效
$ docker run --publish 5000:5000 flask-website
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
好的,那么我運行curl localhost:5000
這給出了這個錯誤
curl: (7) Failed to connect to localhost port 5000: Connection refused
好吧,直截了當,所以我試試這個
docker-compose up
結果
Creating network "app_default" with the default driver
Creating app_web_1 ... done
Attaching to app_web_1
web_1 | * Environment: production
web_1 | WARNING: This is a development server. Do not use it in a production deployment.
web_1 | Use a production WSGI server instead.
web_1 | * Debug mode: off
但是嘗試導航到 localhost:5000 我得到
This site can’t be reachedThe webpage at http://localhost:5000/
might be temporarily down or it may have moved permanently
to a new web address.
ERR_SOCKET_NOT_CONNECTED
目錄結構看起來像這樣
├──app_folder/
└── app/
| ├── static/
| | └── css/
| | └──app.css
| | └── js/
| | └──app.js
| └── templates/
| | └── app.html
| | └── subapp.html
| | └── subapp1.html
| | └── subapp2.html
| | └── subapp3.html
| └── app.py
| └── util.py
| └── pickle_file.pickle
| └── requirements.txt
| └── Dockerfile
| └── Makefile
| └── docker-compose.yml
dockerfile 看起來像這樣
FROM python:3.8
ENV PYTHONUNBUFFERED=1
WORKDIR /
COPY requirements.txt requirements.txt
COPY . .
RUN pip install -r requirements.txt
# EXPOSE 5000
CMD [ "python", "-m" , "flask", "run", "--host=0.0.0.0"]
我曾嘗試使用 EXPOSE 5000 取消注釋和評論,沒有任何區別
我還更新了目錄結構和 dockerfile,這消除了我看到的命令行錯誤
docker-compose 看起來像這樣
version: "3.7"
services:
web:
image: flask-website:latest
ports:
- 5000:5000
我嘗試在應用程序目錄之外使用 dockerfile、docker-compose、makefile 和需求,並在 WORKDIR 行上使用稍微修改的 dockerfile,這導致了此錯誤
Error: Failed to find Flask application or factory in module "app". Use "FLASK_APP=app:name to specify one.
不知道還有什么可以嘗試的? 我可以使用python -m flask run
在本地運行它,但我似乎無法對其進行 dockerize,這似乎不應該這么困難?
為了完整起見,app.py 看起來像這樣
from flask import Flask, request, jsonify
from flask import render_template, redirect
import json
import util
app = Flask(__name__, template_folder="templates", static_folder="static")
@app.route("/", methods=["GET", "POST"])
def index():
return render_template("app.html")
@app.route("/predict_home_price", methods=["GET", "POST"])
def make_prediction():
x = request.form["x"]
y = float(request.form["y"]
response = jsonify(
{
"prediction": util.prediction(x, y)
}
)
response.headers.add("Access-Control-Allow-Origin", "*")
return response
if __name__ == "__main__":
from waitress import serve
serve(app, host="0.0.0.0", port=5000)
util.py 看起來像這樣
import pickle
import pandas as pd
from scipy.special import inv_boxcox
# to run locally uncomment out the following
# with open("/path/to/pickle/app/pickle_mod.pickle", "rb") as f:
# to run in docker use the following
with open("app/pickle_mod.pickle", "rb") as f:
__model = pickle.load(f)
def prediction(x, y):
lambs = 0.205
a = [[x, y]]
cols = ["x", "y"]
my_data = pd.DataFrame(data=a, columns=cols)
pred = inv_boxcox(__model.predict(my_data)[0], lambs)
return f"${round(pred)}"
if __name__ == "__main__":
print(prediction(5, 4))
我也嘗試過使用 util 中的 pickle 導入的兩種方法,結果相同 - 我認為因為我是在 docker 容器中構建它,所以第二次導入是正確的
我也為 app.run 嘗試了這個塊,結果相同
if __name__ == "__main__":
app.run()
我在 docker 中運行了一個簡單的燒瓶應用程序,結果如下。 在您的 docker compose 中,您不需要添加command: python app/app.py
因為這一行已添加到 Dockerfile 中。
您在 Docker Compose 中唯一需要的是端口和映像名稱
好的,需要進行以下更改才能構建此映像並運行容器
碼頭檔案:
FROM python:3.8
WORKDIR /
COPY requirements.txt requirements.txt
RUN pip install -r requirements.txt
COPY . .
EXPOSE 5000
ENTRYPOINT ["python", "./app.py"]
然后對主應用程序 app.py 進行以下更改
if __name__ == "__main__":
app.run(debug=True, host='0.0.0.0')
然后到 util.py,它有一個錯誤,我直到運行docker run [TAG]
才看到
with open("pickle_mod.pickle", "rb") as f:
__model = pickle.load(f)
然后運行docker build -t [TAG] .
然后運行docker-compose up
然后導航到 localhost 監聽端口 5000 並且有正在運行的容器
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