Question

我目前有一个用Flask编写的小型api，用于与CNN交互，我正在设置配置以在Docker中运行它，并且一切运行正常，这是我的实际配置：

Dockerfile：

FROM python:2.7.15-jessie
RUN mkdir -p usr/src/app
COPY . usr/src/app
WORKDIR usr/src/app
RUN which python
RUN apt-get update && apt-get install -y
RUN pip install flask flask_uploads Werkzeug opencv-python numpy tensorflow
ENV PORT 5000
EXPOSE 5000
CMD ["flask", "run"]

Docker-compose：

version: "2.2"
services:
  api:
    container_name: "pyserver"
    build: .
    volumes:
      - ".:/usr/src/app"
    environment:
      FLASK_APP: server.py
    ports:
      - "5000:5000"
    command: ["flask", "run"]

server.py

import os
from base64 import b64encode, b64decode
from flask import Flask, redirect, request, url_for, json, send_file
from flask_uploads import UploadSet, configure_uploads
from werkzeug.utils import secure_filename
from GW_predict import predict

UPLOAD_FOLDER = 'CNN/Files'
ALLOWED_EXTENSIONS = set(['txt', 'csv', 'png', 'jpg', 'jpeg'])

app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
app.config["DEBUG"] = True

def allowed_file(filename):
    ext = '.' in filename and \
           filename.rsplit('.', 1)[1].lower()
    return ext, ext in ALLOWED_EXTENSIONS

@app.route('/status', methods=['GET'])
def status():
    return create_response({ 'online': True, 'message': 'UP AND RUNNING @ 5000' }, 200)

@app.route('/uploadFile', methods=['POST'])
def upload_file():
    if 'h1' not in request.files or 'l1' not in request.files:
        return create_response({'result': False, 'message': 'File missing'}, 422)

    h1_file = request.files['h1']
    l1_file = request.files['l1']

    if h1_file.filename == '' or l1_file.filename == '':
        return create_response({'result': False, 'message': 'File missing'}, 422)

    h1_ext, h1res = allowed_file(h1_file.filename)
    l1_ext, l1res = allowed_file(l1_file.filename)

    if h1_file and l1_file and h1res and l1res:
        h1_filename = secure_filename(h1_file.filename)
        l1_filename = secure_filename(l1_file.filename)
        h1 = os.path.join(app.config['UPLOAD_FOLDER'], h1_filename)
        l1 = os.path.join(app.config['UPLOAD_FOLDER'], l1_filename)
        h1_file.save(h1)
        l1_file.save(l1)
        # img = b64encode((open(img, "rb").read()))
        if h1_ext == 'png' and l1_ext == 'png':
            result = predict(h1, l1)
            return create_response({'result': True, 'prediction': result}, 200)

        return create_response({'result': False, 'message': 'Images format must be png'}, 422)

    return create_response({'result': False, 'message': 'No allowed file'}, 422)

def create_response(message, status):
    response = app.response_class(
        response= json.dumps(message),
        status= status,
        mimetype='application/json'
    )
    return response

if __name__ == '__main__':
    app.run()

问题是，在我的docker-compose文件中，我配置了“端口”指令，我在其中定义了在主机中公开端口5000并转发到容器中的同一端口。

这不起作用。

在容器内部，我可以通过CURL向端点发出请求，但是在容器外部，我无法这样做。怎么了？

Answer 1

也许您需要指定--host=0.0.0.0标志？（来自here）。

您可以尝试在docker-compose中覆盖command吗？

version: "2.2"
services:
  api:
    container_name: "pyserver"
    build: .
    command: flask run --host=0.0.0.0
    volumes:
      - ".:/usr/src/app"
    environment:
      FLASK_APP: server.py
    ports:
      - "5000:5000"
    command: ["flask", "run"]

顺便说一句，如果仅从主机（而不是其他容器）进行通信，则不确定dockerfile中的EXPOSE是否必要。

为什么我的端口未在docker-compose中映射？

1 个答案: