wagalytics | A Google Analytics dashboard in your Wagtail admin | Runtime Evironment library

 by   tomdyson Python Version: 1.3 License: MIT

kandi X-RAY | wagalytics Summary

kandi X-RAY | wagalytics Summary

wagalytics is a Python library typically used in Server, Runtime Evironment, Nodejs applications. wagalytics has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install wagalytics' or download it from GitHub, PyPI.

Developers will need to carry out the following steps after cloning wagalytics:. You will need to run npm run build anytime the javascript source is updated.
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            kandi-support Support

              wagalytics has a low active ecosystem.
              It has 202 star(s) with 41 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 15 open issues and 23 have been closed. On average issues are closed in 56 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of wagalytics is 1.3

            kandi-Quality Quality

              wagalytics has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              wagalytics is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              wagalytics releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              wagalytics saves you 99 person hours of effort in developing the same functionality from scratch.
              It has 445 lines of code, 25 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed wagalytics and discovered the below as its top functions. This is intended to give you an instant insight into wagalytics implemented functionality, and help decide if they suit your requirements.
            • Return an access token for a given site
            • Construct an access token from a string
            • Construct an OAuth2 access token
            Get all kandi verified functions for this library.

            wagalytics Key Features

            No Key Features are available at this moment for wagalytics.

            wagalytics Examples and Code Snippets

            No Code Snippets are available at this moment for wagalytics.

            Community Discussions

            QUESTION

            Django Wagtail [Errno 111] Connection refused form submission
            Asked 2021-Feb-03 at 12:11

            I have a site that I made using Wagtail (Django) and set up a contact form with a landing page. When using this contact form on localhost, I can successfully add information on the contact form and submit it, which takes me to the landing page.

            However, I have hosted this on heroku, and now have a problem with submitting the contact form. When I have submitted the contact form, it gives me an error that the connection was refused [Errno 111]:

            ...

            ANSWER

            Answered 2021-Feb-03 at 12:11

            It's failing to send the email notification because you don't have an SMTP backend. You'll need to configure one - see

            https://docs.djangoproject.com/en/3.1/topics/email/#smtp-backend

            Heroku makes it easy to connect with a range of SMTP providers:

            https://devcenter.heroku.com/articles/smtp

            We use Mailgun, which has a generous free tier:

            https://elements.heroku.com/addons/mailgun

            If you don't care about sending emails, you can just push them to the console backend:

            https://docs.djangoproject.com/en/3.1/topics/email/#console-backend

            Source https://stackoverflow.com/questions/66027054

            QUESTION

            wagtail customized admin panels
            Asked 2020-May-08 at 10:47

            is there a way of customizing my own admin panel , not in terms of styling. What i wish to achieve is a analytics tab , similar to wagalytics . The issue im having with wagalytics is that it is using google analytics , and google analytics is blocked by most adblockers and Mozilla fire fox , making the data really unreliable. As such i wish to utitlize other services like django-analytical to my wagtail administration page with a graph similar to that of wagalytics . However , i have not yet found any resources online that teaches me to override the admin and create my own customized panel (different from the customized tabs here ).

            Could someone point me towards the right direction?

            ...

            ANSWER

            Answered 2020-May-08 at 10:47

            To add a page (link) to the Wagtail admin menu, you can use the hook register_admin_menu_item.

            Create a file my-app/wagtail_hooks.py and this will be run by Wagtail to hook in custom functionality.

            Source https://stackoverflow.com/questions/61674008

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

            Vulnerabilities

            No vulnerabilities reported

            Install wagalytics

            You can install using 'pip install wagalytics' or download it from GitHub, PyPI.
            You can use wagalytics 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

            To enable multisite support you'll need to update your Wagalytics settings and have wagtail.contrib.settings installed. Sites can use a GA_KEY_FILEPATH or a GA_KEY_CONTENT key, but it's best not to use both. In the snippet below, you'll see site_id. This is the ID (Primary Key) of your Wagtail Site. For every Wagalytics site you add in your multisite WAGALYTICS_SETTINGS you'll need to make sure you have the proper GA View ID and API Key. One View ID and API Key won't work for all your sites automatically.
            Find more information at:

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            Install
          • PyPI

            pip install wagalytics

          • CLONE
          • HTTPS

            https://github.com/tomdyson/wagalytics.git

          • CLI

            gh repo clone tomdyson/wagalytics

          • sshUrl

            git@github.com:tomdyson/wagalytics.git

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