django_mongo_admin | An admin panel for Django
kandi X-RAY | django_mongo_admin Summary
kandi X-RAY | django_mongo_admin Summary
django_mongo_admin is a Python library. django_mongo_admin has no bugs, it has no vulnerabilities and it has low support. However django_mongo_admin build file is not available. You can download it from GitHub.
The project is an empty template which uses MongoDB along with SQL as datastores. The app "mongoauth" implements MongoDB for creation and management of users, whereas using SQL is Django's default behaviour. For more info, see wiki.
The project is an empty template which uses MongoDB along with SQL as datastores. The app "mongoauth" implements MongoDB for creation and management of users, whereas using SQL is Django's default behaviour. For more info, see wiki.
Support
Quality
Security
License
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Support
django_mongo_admin has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
django_mongo_admin has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of django_mongo_admin is current.
Quality
django_mongo_admin has no bugs reported.
Security
django_mongo_admin has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
django_mongo_admin does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
django_mongo_admin releases are not available. You will need to build from source code and install.
django_mongo_admin has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
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django_mongo_admin Key Features
No Key Features are available at this moment for django_mongo_admin.
django_mongo_admin Examples and Code Snippets
No Code Snippets are available at this moment for django_mongo_admin.
Community Discussions
No Community Discussions are available at this moment for django_mongo_admin.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django_mongo_admin
Gunicorn will be installed while installing requirements. Make sure that correct setting file is pointed in manage.py and wsgi.py files.
Install virtualenv and virtualenvwrapper:
Create a backup of the .bashrc file
Create a directory to store all the virtual environments
Set WORKON_HOME to virtual environments directory
Open bashrc file
Add the following line at the end of bashrc file:
Re-source terminal using the following command
Create new virtual environment
Activate the virtual environment
Clone the project
Rename project directory for consistency and cd
Install all the requirements
Run migrations
Collect all the static files
Rebuild Elastic search indexes
Test by running
Install Elastic Search, but first update Java
Setup Elastic Search
Edit the settings file
Add node info
Start Elastic Search
Install Haystack, which is an interface for accessing Elastic Search from Django project
Add Haystack in installed apps
Add connection to Elastic Search
Install Redis
Check if Redis is running
Install Celery (If you ran pip requirements, this would already have been installed)
Add tasks file in /utils/ for e.g /utils/email_tasks.py. This holds all the async tasks to be handed to Celery for execution
Make sure a /main/celery.py file is present. This holds all the project level configuration for Celery. The settings are
Also add "djcelery" in installed apps
Add the following at the bottom of the settings.py
Run migrate and it will create
Run Celery server (inside virtualenv) and it will start listening for new tasks
Run Celery beat (inside virtualenv) and it will start scheduling tasks
Install virtualenv and virtualenvwrapper:
Create a backup of the .bashrc file
Create a directory to store all the virtual environments
Set WORKON_HOME to virtual environments directory
Open bashrc file
Add the following line at the end of bashrc file:
Re-source terminal using the following command
Create new virtual environment
Activate the virtual environment
Clone the project
Rename project directory for consistency and cd
Install all the requirements
Run migrations
Collect all the static files
Rebuild Elastic search indexes
Test by running
Install Elastic Search, but first update Java
Setup Elastic Search
Edit the settings file
Add node info
Start Elastic Search
Install Haystack, which is an interface for accessing Elastic Search from Django project
Add Haystack in installed apps
Add connection to Elastic Search
Install Redis
Check if Redis is running
Install Celery (If you ran pip requirements, this would already have been installed)
Add tasks file in /utils/ for e.g /utils/email_tasks.py. This holds all the async tasks to be handed to Celery for execution
Make sure a /main/celery.py file is present. This holds all the project level configuration for Celery. The settings are
Also add "djcelery" in installed apps
Add the following at the bottom of the settings.py
Run migrate and it will create
Run Celery server (inside virtualenv) and it will start listening for new tasks
Run Celery beat (inside virtualenv) and it will start scheduling tasks
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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