django-guid | every log message from a Django request
kandi X-RAY | django-guid Summary
kandi X-RAY | django-guid Summary
Inject an ID into every log message from a Django request. ASGI compatible, integrates with Sentry, and works with Celery
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Top functions reviewed by kandi - BETA
- Return a middleware function
- Gets a GUID from the request headers
- Returns a GUID from the given request header
- Generate a random GUID
- Process an incoming request
- Run an incoming request
- Validate a UUID
- Return True if request is ignored
- Cleanup cleanup
- Display usage for Django GUID
- Sets the GUID of the context variable
- Get GUID
django-guid Key Features
django-guid Examples and Code Snippets
Community Discussions
Trending Discussions on django-guid
QUESTION
I'm upgrading a Django site to 3.1.2 and noticed one backend app wasn't working, in the process of asking the community help in fixing this I found out the app wasn't a custom made code by a single coder for the site but a community project called django-import-export. Since it's up to date and supports django 3.1 i deleted the manual way it was setup as a folder and pip installed it. i then tried to do a makemigrations
threw an error and after reading the setup docs assumed possibly you need to do collectstatic
first, it also threw the same error
ANSWER
Answered 2020-Nov-18 at 11:24The traceback shows that the error occurs when loading GuideResource
in your models.py
.
The getting started docs for django-import-export suggest putting the resource in the admin.py
, so I would try moving the GuideResource
outside of models.py
.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-guid
You can use django-guid 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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