Я не получаю http ответа, когда просматриваю приложение, которое должно работать на моем компьютере, на http://localhost:8080.Что здесь не так?
Я создал приложение для фляги, чтобы запросить сервер и вернуть результат.Приложение работает нормально локально, когда я запускаю gunicorn, используя gunicorn app:app --config=config.py, но не когда я запускаю, запускаю образ докера с помощью команды docker run IMAGE, даже если приложение работает, когда я получаю вывод:
[2019-03-15 10:13:06 +0000] [1] [INFO] Starting gunicorn 19.9.0
[2019-03-15 10:13:06 +0000] [1] [INFO] Listening at: http://0.0.0.0:8080 (1)
[2019-03-15 10:13:06 +0000] [1] [INFO] Using worker: threads
[2019-03-15 10:13:06 +0000] [8] [INFO] Booting worker with pid: 8
[2019-03-15 10:13:06 +0000] [10] [INFO] Booting worker with pid: 10
[2019-03-15 10:13:06 +0000] [14] [INFO] Booting worker with pid: 14
[2019-03-15 10:13:06 +0000] [15] [INFO] Booting worker with pid: 15
[2019-03-15 10:13:06 +0000] [17] [INFO] Booting worker with pid: 17
[2019-03-15 10:13:06 +0000] [18] [INFO] Booting worker with pid: 18
[2019-03-15 10:13:07 +0000] [23] [INFO] Booting worker with pid: 23
[2019-03-15 10:13:07 +0000] [24] [INFO] Booting worker with pid: 24
[2019-03-15 10:13:07 +0000] [30] [INFO] Booting worker with pid: 30
Файл app.py :
import logging
from flask import Flask, request, jsonify
from config import auth_secret_token, PORT, DEBUG_MODE
from helper import check_parameters
from object_detection_grpc_client import main
app = Flask(__name__)
def check_authorization(request):
try:
if not 'Auth-token' in request.headers:
return jsonify({'error': 'unauthorized access'}), 401
token = request.headers['Auth-token']
if token != auth_secret_token:
return jsonify({'error': 'unauthorized access'}), 401
return "ok", 200
except Exception as e:
return jsonify({'error': 'unauthorized access'}), 401
@app.route("/", methods=['POST'])
def hello():
info, status_code = check_authorization(request)
if status_code != 200:
return info, status_code
else:
status, status_code = check_parameters(request.form)
if status_code != 200:
return status, status_code
else:
score = main()
response = {"status": "success", "score": score, "customer_id":(request.form["cust_id"])}
return jsonify(response), status_code
if __name__ == "__main__":
app.run(host="0.0.0.0", port=PORT, debug=DEBUG_MODE)
Файл config.py :
from os import environ as env
import multiprocessing
PORT = int(env.get("PORT", 8080))
DEBUG_MODE = int(env.get("DEBUG_MODE", 1))
# Gunicorn config
bind = ":" + str(PORT)
workers = multiprocessing.cpu_count() * 2 + 1
threads = 2 * multiprocessing.cpu_count()
auth_secret_token = "token"
server='A.B.C.D:9000'
model_name="mymodel"
input_image='filename.jpg'
label_map="./data/object_detection.pbtxt"
Dockerfile :
FROM python:3.5.2
RUN apt update
WORKDIR /app
ADD requirements.txt /app/requirements.txt
RUN pip install -r /app/requirements.txt
ADD . /app
ENV PORT 8080
CMD ["gunicorn", "app:app", "--config=config.py"]
Структура папок :
.
├── app.py
├── app.yaml
├── config.py
├── data
│ └── object_detection.pbtxt
├── Dockerfile
├── filename.jpg
├── helper.py
├── object_2.py
├── object_detection
│ ├── core
│ │ ├── anchor_generator.py
│ └── vrd_evaluation_test.py
├── object_detection_grpc_client.py
├── requirements.txt
└── tensorflow_serving
├── apis
└── regression_pb2.py.
├── app.py
├── app.yaml
├── config.py
├── data
│ └── object_detection.pbtxt
├── Dockerfile
├── filename.jpg
├── helper.py
├── object_2.py
├── object_detection
│ ├── core
│ │ ├── anchor_generator.py
│ └── vrd_evaluation_test.py
├── object_detection_grpc_client.py
├── requirements.txt
└── tensorflow_serving
├── apis
└── regression_pb2.py