mirakuru | python library that starts your subprocess and waits | BPM library
kandi X-RAY | mirakuru Summary
kandi X-RAY | mirakuru Summary
Mirakuru - a python library that starts your subprocess and waits for a clear indication, that it's running (process orchestrator)
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Top functions reviewed by kandi - BETA
- Check the subprocess
- Stops the process
- Kill all processes
- Kill the process
- Wait for the executor to finish
- Checks if the timeout expires
- Clear the current process
- Return whether the process is running
- Check after start check
- Terminate the child process
- Set the timeout
- Runs after check
- Check if file exists
- Perform before start check
- Connect to the socket
- Run after check
- Check if the connection is ready
mirakuru Key Features
mirakuru Examples and Code Snippets
Community Discussions
Trending Discussions on mirakuru
QUESTION
I'm running some unit tests with pytest-mysql, but getting the following error:
...ANSWER
Answered 2021-Mar-29 at 13:53So apparently pytest-mysql requires that mysql server (mysqld) is installed on the same host (or container) where you are running pytest. The README mentions the mysql
client fixture:
mysql - it's a client fixture that has functional scope. After each test drops test database from MySQL ensuring repeatability.
However, you can't use the client one separately - see Github issue: Is it possible to execute test on a already running mysql service?.
So the "workaround" is to install mysql server on the host or container....pytest-mysql will create and teardown test databases with mysqld as needed AND connect to a running mysql instance you specify in your pytest.ini (or cli) and create and teardown test DBs there as well. Doesn't make sense to me, so assuming it's a bug that needs to be addressed per that Github issue.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mirakuru
You can use mirakuru 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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