GitHub - attzonko/mmpy_bot: A python based chat bot for MatterMost (http://www.m...
source link: https://github.com/attzonko/mmpy_bot
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
README.md
Documentation available at Read the Docs.
What is This
A python based chat bot for Mattermost.
Features
- Based on Mattermost WebSocket API(V4.0.0)
- Simple plugins mechanism
- Messages can be handled concurrently
- Automatically reconnect to Mattermost when connection is lost
- Python3 Support
Compatibility
Mattermost mmpy_bot >= 4.0 > 1.2.0 < 4.0 unsupportedInstallation
pip install mmpy_bot
Usage
Registration
First you need create the mattermost email/password for your bot.
For use all API(V4.0.0), you need add bot user to system admin group to avoid 403 error.
Configuration
Then you need to configure the BOT_URL
, BOT_LOGIN
, BOT_PASSWORD
, BOT_TEAM
in a python module
mmpy_bot_settings.py
, which must be located in a python import path.
mmpy_bot_settings.py:
SSL_VERIFY = True # Whether to perform SSL cert verification BOT_URL = 'http://<mm.example.com>/api/v4' # with 'http://' and with '/api/v4' path. without trailing slash. BOT_LOGIN = '<bot-email-address>' BOT_PASSWORD = '<bot-password>' BOT_TOKEN = None # or '<bot-personal-access-token>' if you have set bot personal access token. BOT_TEAM = '<your-team>' # possible in lowercase
Alternatively, you can use the environment variable MATTERMOST_BOT_URL
,
MATTERMOST_BOT_LOGIN
, MATTERMOST_BOT_PASSWORD
, MATTERMOST_BOT_TEAM
,
MATTERMOST_BOT_SSL_VERIFY
, MATTERMOST_BOT_TOKEN
or MATTERMOST_BOT_SETTINGS_MODULE
environment variable, which provide settings module
MATTERMOST_BOT_SETTINGS_MODULE=settings.bot_conf mmpy_bot
Run the bot
Use the built-in cli script and point to your custom settings file.
MATTERMOST_BOT_SETTINGS_MODULE=mmpy_bot_settings mmpy_bot
or you can create your own startup file. For example run.py
:
from mmpy_bot.bot import Bot if __name__ == "__main__": Bot().run()
Now you can talk to your bot in your mattermost client!
Attachment Support
from mmpy_bot.bot import respond_to @respond_to('webapi') def webapi_reply(message): attachments = [{ 'fallback': 'Fallback text', 'author_name': 'Author', 'author_link': 'http://www.github.com', 'text': 'Some text here ...', 'color': '#59afe1' }] message.reply_webapi( 'Attachments example', attachments, username='Mattermost-Bot', icon_url='https://goo.gl/OF4DBq', ) # Optional: Send message to specified channel # message.send_webapi('', attachments, channel_id=message.channel)
Integrations must be allowed for non admins users.
File Support
from mmpy_bot.bot import respond_to @respond_to('files') def message_with_file(message): # upload_file() can upload only one file at a time # If you have several files to upload, you need call this function several times. file = open('test.txt', 'w+') result = message.upload_file(file) file.close() if 'file_infos' not in result: message.reply('upload file error') file_id = result['file_infos'][0]['id'] # file_id need convert to array message.reply('hello', [file_id])
Plugins
A chat bot is meaningless unless you can extend/customize it to fit your own use cases.
To write a new plugin, simply create a function decorated by mmpy_bot.bot.respond_to
or mmpy_bot.bot.listen_to
:
- A function decorated with
respond_to
is called when a message matching the pattern is sent to the bot (direct message or @botname in a channel/group chat) - A function decorated with
listen_to
is called when a message matching the pattern is sent on a channel/group chat (not directly sent to the bot)
import re from mmpy_bot.bot import listen_to from mmpy_bot.bot import respond_to @respond_to('hi', re.IGNORECASE) def hi(message): message.reply('I can understand hi or HI!') @respond_to('I love you') def love(message): message.reply('I love you too!') @listen_to('Can someone help me?') def help_me(message): # Message is replied to the sender (prefixed with @user) message.reply('Yes, I can!') # Message is sent on the channel # message.send('I can help everybody!')
To extract params from the message, you can use regular expression:
from mmpy_bot.bot import respond_to @respond_to('Give me (.*)') def give_me(message, something): message.reply('Here is %s' % something)
If you would like to have a command like 'stats' and 'stats start_date end_date', you can create reg ex like so:
from mmpy_bot.bot import respond_to import re @respond_to('stat$', re.IGNORECASE) @respond_to('stat (.*) (.*)', re.IGNORECASE) def stats(message, start_date=None, end_date=None): pass
If you don't want to expose some bot commands to public, you can add @allowed_users()
like so:
@respond_to('^admin$') @allow_only_direct_message() #only trigger by direct message, remove this line if you want call this in channel @allowed_users('Your username or email address here') def users_access(message): pass
And add the plugins module to PLUGINS
list of mmpy_bot settings, e.g. mmpy_bot_settings.py:
PLUGINS = [ 'mmpy_bot.plugins', 'devops.plugins', # e.g. git submodule: domain:devops-plugins.git 'programmers.plugins', # e.g. python package: package_name.plugins 'frontend.plugins', # e.g. project tree: apps.bot.plugins ]
For example you can separate git repositories with plugins on your team.
If you are migrating from Slack
to the Mattermost
, and previously you are used SlackBot
,
you can use this battery without any problem. On most cases your plugins will be working properly
if you are used standard API or with minimal modifications.
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK