The most complete and configurable HipChat library for Django.
Project description
djhipchat2 is the Swiss Army knife for HipChat integration. It provides:
Configurable backend support, including local memory for testing
Logging integration
Out-of-the-box integration with Celery for asynchronous sending
Management command
Testing
Installation
Install: pip install djhipchat2
Add djhipchat2 to your INSTALLED_APPS.
Configure your backend, or leave it as the default.
Usage
djhipchat.send_message
This will send a HipChat message using the default backend. The parameters mirror those of the HipChat messaging API, defined here: https://www.hipchat.com/docs/api/method/rooms/message.
These are the parameters:
room_id: The ID of the HipChat room to send to. Room IDs can be found here: https://{{your-account}}.hipchat.com/rooms/ids
sender: The sender of the message. Must be less than 15 characters long. May contain letters, numbers, -, _, and spaces. (Note: in the HipChat API this is specified as from. It’s been changed so it’s not a Python keyword.)
message: The text or HTML of the message.
message_format: Should be text or html. The default is html
notify: Should be True if the message should trigger a notification in the room. The default is False
color: The color of the message. One of “yellow”, “red”, “green”, “purple”, “gray”, or “random”. The default is “yellow”.
djhipchat.get_backend
Get a reference to a HipChat backend. Each backend has one defined method: send_message which has the same parameters as djhipchat.send_message.
Logger
Integrate HipChat into your server logging: this defines a logging handler that sends the message to a HipChat room. You can configure a logger to notify members of the room, or also configure multiple colors for log levels using the same handler. Here is a sample:
LOGGING = { 'version': 1, 'disable_existing_loggers': False, 'handlers': { 'djhipchat': { 'level': 'INFO', 'class': 'djhipchat.logger.HipChatHandler', 'token': '{{your_token_here}}', 'room' : '{{your_room_id_here}}', 'sender': 'Myapp', 'notify': True, 'color':'green', 'colors': { 'ERROR':'red', 'CRITICAL':'red', 'WARNING':'yellow', } } }, 'loggers': { 'test_handler': { 'handlers': ['djhipchat'], 'level': 'INFO', 'propagate': False, }, } }
This is inspired by: https://gist.github.com/hugorodgerbrown/3176710
Management command
This app provides a management command to easily send a message to the configured backend. The usage is simple: python manage.py hipchat <room_id> <message>
Options are available at: python manage.py help hipchat
Configuration
HIPCHAT_BACKEND
Specifies the default backend to use. The default is djhipchat.backends.locmem.HipChatBackend
HIPCHAT_API_TOKEN
Specifies the HipChat API token. This is theoretically optional except for the request backend, but that’s probably what you want to use in production anyway.
HIPCHAT_DEFAULT_SENDER
The default sender if not specified in a send_message call. If not specified, the default is “Django”.
HIPCHAT_CELERY_BACKEND
When using the Celery backend, it needs a “synchronous” backend to actually send the message. There is no default, so you must specify this in order to use the Celery backend.
Backends
djhipchat.backends.celery.HipChatBackend
This backend sends all messages through a Celery task. In order to use this backend, you must have celery installed and specify a synchronous backend in the HIPCHAT_CELERY_BACKEND setting.
djhipchat.backends.dummy.HipChatBackend
Just what is sounds like: this backend does nothing.
djhipchat.backends.locmem.HipChatBackend
Similar to the locmem email backend in Django, this collects all messages into an array at djhipchat.sent_messages. You can use this for testing.
djhipchat.backends.request.HipChatBackend
This is the default backend, which actually sends your message to HipChat.
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