[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
尝试 dockerize 这个烧瓶应用程序......运行以下
docker build --tag flask-website .
工作,输出成功构建,成功标记。
编辑:下一个命令有效
$ 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,那么我运行curl localhost:5000
这给出了这个错误
curl: (7) Failed to connect to localhost port 5000: Connection refused
好吧,直截了当,所以我试试这个
docker-compose up
结果
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
但是尝试导航到 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
目录结构看起来像这样
├──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 看起来像这样
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"]
我曾尝试使用 EXPOSE 5000 取消注释和评论,没有任何区别
我还更新了目录结构和 dockerfile,这消除了我看到的命令行错误
docker-compose 看起来像这样
version: "3.7"
services:
web:
image: flask-website:latest
ports:
- 5000:5000
我尝试在应用程序目录之外使用 dockerfile、docker-compose、makefile 和需求,并在 WORKDIR 行上使用稍微修改的 dockerfile,这导致了此错误
Error: Failed to find Flask application or factory in module "app". Use "FLASK_APP=app:name to specify one.
不知道还有什么可以尝试的? 我可以使用python -m flask run
在本地运行它,但我似乎无法对其进行 dockerize,这似乎不应该这么困难?
为了完整起见,app.py 看起来像这样
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 看起来像这样
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))
我也尝试过使用 util 中的 pickle 导入的两种方法,结果相同 - 我认为因为我是在 docker 容器中构建它,所以第二次导入是正确的
我也为 app.run 尝试了这个块,结果相同
if __name__ == "__main__":
app.run()
我在 docker 中运行了一个简单的烧瓶应用程序,结果如下。 在您的 docker compose 中,您不需要添加command: python app/app.py
因为这一行已添加到 Dockerfile 中。
您在 Docker Compose 中唯一需要的是端口和映像名称
好的,需要进行以下更改才能构建此映像并运行容器
码头档案:
FROM python:3.8
WORKDIR /
COPY requirements.txt requirements.txt
RUN pip install -r requirements.txt
COPY . .
EXPOSE 5000
ENTRYPOINT ["python", "./app.py"]
然后对主应用程序 app.py 进行以下更改
if __name__ == "__main__":
app.run(debug=True, host='0.0.0.0')
然后到 util.py,它有一个错误,我直到运行docker run [TAG]
才看到
with open("pickle_mod.pickle", "rb") as f:
__model = pickle.load(f)
然后运行docker build -t [TAG] .
然后运行docker-compose up
然后导航到 localhost 监听端口 5000 并且有正在运行的容器
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