bucket_api | API for the bucket list | Cloud Storage library

 by   jokamjohn Python Version: Current License: No License

kandi X-RAY | bucket_api Summary

kandi X-RAY | bucket_api Summary

bucket_api is a Python library typically used in Storage, Cloud Storage, Amazon S3 applications. bucket_api has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

API for the bucket list
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              bucket_api has a low active ecosystem.
              It has 85 star(s) with 38 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              bucket_api has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of bucket_api is current.

            kandi-Quality Quality

              bucket_api has 0 bugs and 0 code smells.

            kandi-Security Security

              bucket_api has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              bucket_api code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              bucket_api does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              bucket_api releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              bucket_api saves you 787 person hours of effort in developing the same functionality from scratch.
              It has 1810 lines of code, 156 functions and 30 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            bucket_api Key Features

            No Key Features are available at this moment for bucket_api.

            bucket_api Examples and Code Snippets

            No Code Snippets are available at this moment for bucket_api.

            Community Discussions

            QUESTION

            Django / React - Production API URL routing issues
            Asked 2021-May-04 at 02:45

            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 16:38

            It 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.

            1. You try to put the catch-all patterns to the bottom of all urlpatterns - I'm not sure how reliable this is though
            2. You do not catch all by deleting re_path(".*/", render_react), and explicitly name every react page you want to use
            3. 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

            Source https://stackoverflow.com/questions/67341738

            QUESTION

            How to correctly serve my React production build through Django. Currently having MIME type issues with current configuration
            Asked 2021-Apr-29 at 19:33

            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 18:30

            In 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.

            Source https://stackoverflow.com/questions/67271401

            QUESTION

            I keep getting a Bad Request error due to a GET in my drf login view
            Asked 2021-Jan-02 at 04:40

            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 02:48

            You don't have to validate or serialize anything at the GET method, just return empty/None

            Source https://stackoverflow.com/questions/65535597

            QUESTION

            Why can't I log into Django users with valid credentials, but can log into my original superuser?
            Asked 2020-Dec-17 at 21:37

            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 21:37

            Thanks 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:

            Source https://stackoverflow.com/questions/65332026

            QUESTION

            Error: sequence item 0: expected str instance, ForeignKey found?
            Asked 2020-Dec-15 at 18:57

            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 18:57

            You 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.

            Source https://stackoverflow.com/questions/65311840

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install bucket_api

            You can download it from GitHub.
            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.

            Support

            The api documentation is hosted as the homepage of the application.
            Find more information at:

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            https://github.com/jokamjohn/bucket_api.git

          • CLI

            gh repo clone jokamjohn/bucket_api

          • sshUrl

            git@github.com:jokamjohn/bucket_api.git

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