pylint-django | Pylint plugin for improving code analysis for when using Django | Code Analyzer library
kandi X-RAY | pylint-django Summary
kandi X-RAY | pylint-django Summary
Pylint plugin for improving code analysis for when using Django
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Top functions reviewed by kandi - BETA
- Infer the key classes from node
- Check if the given node is a subclass of cls
- Get the module name from a django model resolution
- Return a list of model class definitions from a module
- Check for ForeignKey sets
- Visit the class definition
- Determine if a node is abstract
- Checks if the given node has the given decorator
- Check if method is unicode
- Creates a type shim
- Check if the given node is a model factory
- Register the linter
- Return whether the given node is a Meta class
- Check if the given node is a ForeignKey
- Check for class def
- Add a transformation to a package
- Return whether the given node is a media class
- Return whether the given node is a display method
- Check for backwards compatibility
- Returns whether the given node is a subclass of the View class
- Visit a call node
- Return whether the given node is a MPTTMeta subclass
- Return True if node is in migrations module
- Check if the given node is a manager attribute
- Returns whether the given node is an IP address attribute
- Check if the given node is a subclass of ModelAdmin
pylint-django Key Features
pylint-django Examples and Code Snippets
Community Discussions
Trending Discussions on pylint-django
QUESTION
I have an input file
...ANSWER
Answered 2022-Jan-14 at 10:30Using sed
:
QUESTION
I don't have much experience in coding. I am currently writing a small Django application. Following all the rules, I do not want to place the SECRET_KEY in the repository, so I created the SECRET_KEY environment variable in the .bashrс file. And in the settings.py file I wrote: SECRET_KEY = os.environ.get ('SECRET_KEY')
When I execute
pylint --load-plugins pylint_django my_application
in the terminal on my computer everything works. I get a response
Your code has been rated at 9.88 / 10
Also I have workflow pylint.yaml to accomplish pylint-django tests on push trigger, when I send my files to my GitHub repo:
...ANSWER
Answered 2021-Nov-13 at 20:13I was very close to the solution. Due to the fact that the SECRET_KEY
contains parentheses, you need to enclose the SECRET_KEY
in double quotes.
QUESTION
Pylint-django worked just fine up to version 2.3.x but since 2.4.0 it reports an error on every python-django file:
Django was not configured. For more information runpylint --load-plugins=pylint_django --help-msg=django-not-configuredpylint(django-not-configured)
This happens on VSCode and I believe I have it correctly configured:
...ANSWER
Answered 2021-Jan-19 at 13:13this hit me too and I think I have a solution. if you run in terminal, as suggested by the error message, with the parameter --help-msg=django-not-configured
you'll end up with the following message:
QUESTION
Well Here I am trying to deploy my first django app and getting error :ModuleNotFoundError: No module named 'jinja2'. I don't know where jinja came from. In my requirement file there is no jinja. Tell me if you know how to fix it. I shall be very thankful to you.
trackback:
...ANSWER
Answered 2020-Dec-15 at 21:30Based on the traceback and the requirements.txt
of the knox
project [GitHub], knox needs Jinja, indeed:
QUESTION
here is the part of the files that are important for this question:
...ANSWER
Answered 2020-Jul-21 at 20:31My compliments on such an extensive report. Your issue lies probably in this weird setup you've got going on.
QUESTION
I have created virtual env with anaconda prompt and created my django project in that env. I have created repository on github and push my code there and also create app on heroku but when i am running this git push heroku main
command, it showing me an error which I have given below:
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: '/tmp/build/80754af9/asgiref_1605055780383/work'..
traceback:
...ANSWER
Answered 2020-Dec-15 at 18:48Edit your requirements to point to asgiref version instead of temporary file
For example
QUESTION
ANSWER
Answered 2020-Oct-19 at 13:21It's just a pylint error nothing to worry.
QUESTION
I wanted to set up Python linting and Django compatibility in Visual Studio Code (VSC). So I installed the Python and Djaneiro extensions. And pylint and pylint-django pip packages in my Django venv. I then went to look for the settings for the linting extensions via File->Preferences->Settings. But I couldn't see how to reach the section on pylint for the json settings file, it seems to have moved/changed recently in VSC. I just wanted to add:
...ANSWER
Answered 2020-Nov-26 at 20:12it is located in this folder:
C:\Users\dimit\AppData\Roaming\Code\User
if that doesnt work try making c++ file,
make text file and then save it with extention .css, after that open it with visual studio code and go to run, start debugging and choose C++(windows), and it should open you the file, I am not sure but I think this works because I dont have c++ compiler installed so it might not work for you
QUESTION
In an AWS Cloud9 IDE, when running
...ANSWER
Answered 2020-Oct-27 at 15:45In order to solve it, I just changed the command to
QUESTION
The shell command pip install cartopy
led to several errors.
At first, the following error occurred:
...ANSWER
Answered 2020-Aug-04 at 08:40After searching solutions to the main error message c++: error: unrecognized command line option '-R'
, I finally found it in this discussion.
What I did was searching for the relevant files using the mighty find
method:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pylint-django
You can use pylint-django 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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