bucket_api | API for the bucket list | Cloud Storage library
kandi X-RAY | bucket_api Summary
kandi X-RAY | bucket_api Summary
API for the bucket list
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QUESTION
I have a backend Django REST API that also helps serve my React frontend. I currently have an issue with my API requests url paths to my Django API in production for every page except my home page...
API URL's that work:
I'm able to visit my home page, within my home page, I have a GET request to my API which works great and loads data as expected. This is the only working GET request of my website because the API URL path is correct to my urlpatterns
syntax.
API URL's that DON'T work:
The issues arise when I visit a page OTHER than the home page of my React app. My API requests to Django on other pages are using the wrong URL path according to my network panel (they are also responding with index.html
), which has me believe I set up my django URLs wrong.
Please checkout my configuration below:
main urls.py:
...ANSWER
Answered 2021-May-03 at 16:38It makes sense, that it always returns the index.html. Your catch all regex prevents your API calls to be called, so it always resolves to render_react
. I think you have 3 options.
- You try to put the catch-all patterns to the bottom of all urlpatterns - I'm not sure how reliable this is though
- You do not catch all by deleting
re_path(".*/", render_react),
and explicitly name every react page you want to use - You change the catch-all regex to exclude your Django apps with something like
re_path("(?!api).*/", render_react),
I would choose option 2, as it gives you most control of your urls
QUESTION
I'm trying to deploy my react/django web-app to a linux-VM droplet. I'm not using a webpack for the JS content. Instead, I'm serving npm run build
static files through a CDN sub-domain, digital ocean s3 bucket.
I'm able to python manage.py collectstatic
which then pushes my react production build folder to the CDN.
When I visit my production website, it currently just loads up a blank page with these console errors:
...ANSWER
Answered 2021-Apr-28 at 18:30In an production environment, your static files are not served through Django, but should be served directly through the webserver.
So you should configure your webserver (I assue Nginx) to serve the content of the static directory (aka static/css/main.ce8d6426.chunk.css) directly.
QUESTION
Not sure what the problem is, I originally had a genericAPIview
used as my user login view that had these errors:
Method Not Allowed: /auth/login
and
"detail": "Method \"GET\" not allowed."
So I added a GET
method like so:
ANSWER
Answered 2021-Jan-02 at 02:48You don't have to validate or serialize anything at the GET method, just return empty/None
QUESTION
I have this issue in my django project where users cannot login after creating an account. The user credentials are correct so everything should be working, but I guess I forgot to properly connect something while building my Customer User Model.
Looking at my admin page, I see users in the database. I also cannot log into a superuser version of the account (changing superuser = True) when trying to de-bug the error. I've added some recommendations I found online such as
...ANSWER
Answered 2020-Dec-17 at 21:37Thanks to @meet, I've solved the issue using his recommended fix. I also had to add to my settings.py
rest_framework.authentication.SessionAuthentication
like so:
QUESTION
I'm trying to add my model to my admin.py page, I've had to play around with my ManytoMany and Arrayfields fields to get it working correctly, however I'm not out of the mud yet.
Im getting this error: Error: sequence item 0: expected str instance, ForeignKey found
when I try to add an object in my admin page.
Here is my original model:
...ANSWER
Answered 2020-Dec-15 at 18:57You can not make use of models.Bucket._meta.get_fields()
for the fields. get_fields(…)
[Django-doc] will return a tuple of the fields itself, not the name of these fields.
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Install bucket_api
You can use bucket_api 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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