我有 4 个使用 docker-compose 运行的服务
1) python-api2) python-model3) python-celery4) redis-server .
流量:
1) python-api通过 postman 将图像和一些文本作为端口 8000 上的参数命中。
2) python-api将图像和数据传递给 python-model在端口 8001 上进行一些 ML 预测。
3) 然后将修改后的 JSON 格式的图像和响应数据传递给 python-celery用于触发邮件。
错误: python-celery能够抓取 python-model 发送的图像和响应在步骤 3。但它目前无法读取图像
错误日志:
========================
python-celery_1 | Received task: classify_crack.tasks.queue_task_v3[d71f976f-b2e7-4b29-9147-35996668de17]
python-celery_1 | == unique_file_index
python-celery_1 | AANJkaNIJSDHURHQEYRQ(*R
python-celery_1 | /python-model/server/classify_crack/inference/images/202003251237371/202003251237371_0.jpg 64
python-celery_1 | Task classify_crack.tasks.queue_task_v3[d71f976f-b2e7-4b29-9147-35996668de17] raised unexpected: AttributeError("'NoneType' object has no attribute 'shape'",)
python-celery_1 | Traceback (most recent call last):
python-celery_1 | File "/usr/local/lib/python3.6/site-packages/celery/app/trace.py", line 385, in trace_task
python-celery_1 | R = retval = fun(*args, **kwargs)
python-celery_1 | File "/usr/local/lib/python3.6/site-packages/celery/app/trace.py", line 648, in __protected_call__
python-celery_1 | return self.run(*args, **kwargs)
python-celery_1 | File "/python-api/classify_crack/tasks.py", line 690, in queue_task_v3
python-celery_1 | save_heat_map_v2(predictions, img_path, _dir, unique_file_index, original_image_index, i, grid_size=grid_size, metadata=metadata, StoredFileLinks=StoredFileLinks, row_stride=row_stride, col_stride=col_stride)
python-celery_1 | File "/python-api/classify_crack/tasks.py", line 128, in save_heat_map_v2
python-celery_1 | num_row_splits = int(np.ceil(img.shape[0]/row_stride))
python-celery_1 | AttributeError: 'NoneType' object has no attribute 'shape'
内线
python-celery出现错误的代码: img = cv2.imread(img_path)
print(img_path)
print(img)
# print(img_path,grid_size)
splits = int(np.ceil(img.shape[0]/row_stride))
在这里，
img_path是正在打印的容器内的有效路径。但我无法将图像读取为 img返回 None .和行 splits给我上面的错误。我收到错误的原因:
我收到此错误是因为它正在尝试访问文件夹路径:
/python-model/server/classify_crack/inference/images/202003251237371/202003251237371.jpg , 但是 python-celery无法访问名为 202003251237371 的文件夹.证明:
我尝试使用以下命令:
command: >
sh -c "ls '/python-model/server/classify_crack/inference/images' &&
在
python-model 的 docker-compose 中和 python-celery服务，当我再次运行所有容器时，我得到以下结果:python-model_1 | 201801151543500
python-model_1 | 201801151543500.jpg
python-model_1 | IMG_20190307_184100
python-model_1 | IMG_20190307_184100.jpg
python-model_1 | extracted_input_0_0 (15)
python-model_1 | extracted_input_0_0 (15).jpg
python-model_1 | extracted_input_0_0 (16)
python-model_1 | extracted_input_0_0 (16).jpg
python-model_1 | extracted_input_0_0 (18)
python-model_1 | extracted_input_0_0 (18).jpg
python-model_1 | extracted_input_0_0 (19)
python-model_1 | extracted_input_0_0 (19).jpg
python-model_1 | extracted_input_0_0 (9)
python-model_1 | extracted_input_0_0 (9).jpg
python-model_1 | file
python-model_1 | image (2)
python-model_1 | image (2).png
python-model_1 | 202003251237371
python-model_1 | 202003251237371.jpg
python-model_1 | image_X
python-model_1 | image_X.png
python-model_1 | original
python-model_1 | original.jpg
python-model_1 | original_image_0
python-model_1 | original_image_0.jpg
python-celery_1 | 20013V_Y.JPG
python-celery_1 | extracted_input_0_0 (15).jpg
python-celery_1 | extracted_input_0_0 (16).jpg
python-celery_1 | extracted_input_0_0 (18).jpg
python-celery_1 | extracted_input_0_0 (19).jpg
python-celery_1 | extracted_input_0_0 (4).jpg
python-celery_1 | 202003251237371.jpg
现在很清楚，
python-celery无法显示文件夹 202003251237371带有图像名称 202003251237371.jpg ，我可以在 python-model 中看到.如何处理这种情况并允许
python-celery访问这样的图像文件夹？docker 撰写
version: "3"
networks:
app-tier:
driver: bridge
volumes:
app-volume: {}
services:
python-api-celery: &python-api-celery
build:
context: /Users/AjayB/Desktop/python-api/
networks:
- app-tier
volumes:
- app-volume:/python-model/server/classify_crack/:rw
environment:
- PYTHON_API_ENV=development
command: >
sh -c "python manage.py makemigrations &&
python manage.py migrate"
python-api: &python-api
<<: *python-api-celery
ports:
- "8000:8000"
command: >
sh -c "python manage.py runserver 0.0.0.0:8000"
python-celery: &python-celery
<<: *python-api-celery
depends_on:
- redis
links:
- python-model
command: >
sh -c "ls '/python-model/server/classify_crack/inference/images' &&
celery -A server worker -l info"
redis:
image: redis:5.0.8-alpine
hostname: redis
networks:
- app-tier
expose:
- "6379"
volumes:
- app-volume:/python-model/server/classify_crack/:rw
ports:
- "6379:6379"
command: ["redis-server"]
python-model: &python-model
build:
context: /Users/AjayB/Desktop/Python/python/
ports:
- "8001:8001"
networks:
- app-tier
environment:
- PYTHON_API_ENV=development
volumes:
- app-volume
depends_on:
- python-api
command: >
sh -c "ls '/python-model/server/classify_crack/inference/images' &&
cd /python-model/server/ &&
python manage.py migrate &&
python manage.py runserver 0.0.0.0:8001"
容器实例:
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
7374a7b0b051 integrated_python-celery "sh -c 'celery -A se…" 13 minutes ago Up 5 seconds 8000/tcp integrated_python-celery_1
8eb9a754996a integrated_python-model "sh -c 'cd /python-m…" 20 minutes ago Up 5 seconds 0.0.0.0:8001->8001/tcp integrated_python-model_1
b268b7bd1ac4 integrated_python-api-celery "sh -c 'python manag…" 20 minutes ago Up 6 seconds 8000/tcp integrated_python-api-celery_1
869bb5fc21b2 integrated_python-api "sh -c 'python manag…" 20 minutes ago Up 6 seconds 0.0.0.0:8000->8000/tcp integrated_python-api_1
c85a1becea34 redis:5.0.8-alpine "docker-entrypoint.s…" About an hour ago Up 6 seconds 0.0.0.0:6379->6379/tcp integrated_redis_1
最佳答案
来自 OpenCV-Python医生:`
Even if the image path is wrong, it won’t throw any error, but print img will give you None
这似乎正是这里发生的事情。也许您的图像路径看起来正确但实际上是错误的，可能的原因:
/python-model/server/classify_crack/inference/images/202003251237371/202003251237371.jpg不允许用户运行python-celery阅读 否则，您的 Compose 卷定义看起来不错。
关于python - 如何使用 docker-compose 设置一个容器以允许其整个卷访问另一个容器，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/60899651/