ovirt-engine-sdk | oVirt Python SDK is a Python package | SDK library
kandi X-RAY | ovirt-engine-sdk Summary
kandi X-RAY | ovirt-engine-sdk Summary
The oVirt Python SDK is a Python package that simplyfies access to the oVirt Engine API.
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Top functions reviewed by kandi - BETA
- Perform an internal action
- Send a request
- Build the URL
- Send the given request
- Follow a link
- Return the service object for the given path
- Gets the SystemService API client
- Reads a boolean value from the element
- Parse a boolean value
- Return a list of Enums
- Parse an enum from text
- Read a decimal value from the stream
- Parse decimal value
- Writes a decimal value
- Writes a boolean value to the writer
- Wait for the given context
- Writes a date
- Writes an integer to the writer
- Perform a GET request
- Read an enumeration
- Read the date from the reader
- Read an integer from the stream
- Check response content type
- Internal HTTP DELETE operation
- Update an object
- Create a new object
ovirt-engine-sdk Key Features
ovirt-engine-sdk Examples and Code Snippets
Community Discussions
Trending Discussions on ovirt-engine-sdk
QUESTION
I had a working django project, but I started getting errors with celery after I added django-filter to my requirements file.
I'm using python 3.7 and here's the list of installed packages w/ versions:
...ANSWER
Answered 2020-Jun-04 at 19:08If you install packages using a tool like pipenv or similar package managers, then they will upgrade all out of date packages unless you tell them not to.
In this case celery was upgraded to 4.4.4 and you've hit a rather embarrassing bug in celery (honestly... how that did that get through CI?), but at least with an easy fix of installing the future module.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ovirt-engine-sdk
You can use ovirt-engine-sdk 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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