aiodocker | Python Docker API client based on asyncio and aiohttp | Reactive Programming library
kandi X-RAY | aiodocker Summary
kandi X-RAY | aiodocker Summary
Python Docker API client based on asyncio and aiohttp
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Top functions reviewed by kandi - BETA
- Build Docker container
- Perform a HTTP request
- Returns a canonical URL
- Perform an async query
- Create a container
- Cleans a list of networks
- Compose authentication header
- Format env value
- Push an image
- Pull an image from a Docker image
- Start the Docker container
- Start the stream
- Start monitoring logs
- Update the spec
- List all tasks
- List services
- List networks
- List Docker containers
- Delete an image
- Create a new secret
- Update a service
- Creates a new configuration
- Update a secret
- Execute a command inside this container
- Example example
- Update a configuration
aiodocker Key Features
aiodocker Examples and Code Snippets
Community Discussions
Trending Discussions on aiodocker
QUESTION
I have been going through the aiodocker library.
And the documentation indicated that they watch the python-asyncio
tag. So I wanted to ask about how to async my docker code, as I could not figure out from the documentation and the source code. Here is the code that I need to async (detach=True
below won't work because sometimes the container exits with a non-zero status code. Having them asynchronous would help me with handling this better.):
ANSWER
Answered 2018-Nov-01 at 10:54async def run_container(client, volumes, environment, *, pid):
print('Starting the container on pid: {}'.format(pid))
return client.containers.run(..)
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install aiodocker
You can use aiodocker like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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