Django app for interact with atlassian libraries such as JIRA and Confluence.
Project description
- Django-atlassian allows you to build a Atlassian Connect apps using Django, it includes:
JWT support
Jira’s django db backend
Confluence’s django db backend
Installation
Download and install using pip install django-atlassina
$ pip install django-atlassian
Example Configuration
Backend mode
DATABASES = {
'jira': {
'ENGINE': 'django_atlassian.backends.jira',
'NAME': 'https://your-site.atlassian.net',
'USER': '', # Your user
'PASSWORD': '', # Your password
'SECURITY': '',
},
DATABASE_ROUTERS = ['django_atlassian.router.Router']
Application mode
In this mode, you setup a database configuration to connect to a specific Jira/Confluence cloud instance. All custom fields will be automatically introspected.
Setup the router to make the connected host model be accessed through their own database:
DATABASE_ROUTERS = ['django_atlassian.router.Router']
ALLOWED_HOSTS = ['<ID>.ngrok.io']
Create a basic atlassian-connect.json template file:
{
"name": "<Your app name>",
"description": "<Your app description>",
"key": "<Your app private key>",
"baseUrl": "<Your host set on ALLOWED_HOSTS>",
"vendor": {
"name": "<Your company>",
"url": "<Your website>",
},
"authentication": {
"type": "jwt"
},
"lifecycle": {
"installed": "{% url 'django-atlassian-installed' %}"
},
"scopes": [
"read", "write"
],
"apiVersion": 1,
"modules": {
}
}
Contributing
If you’d like to contribute, the best approach is to send a well-formed pull request, complete with tests and documentation. Pull requests should be focused: trying to do more than one thing in a single request will make it more difficult to process.
References
Database implementation:
Dynamic model field injection:
Project details
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