Interactive bots API
This page documents functions available to the bot, and the structure of the
bot's config file.
With this API, you can
- intercept, view, and process messages sent by users on Zulip.
- send out new messages as replies to the processed messages.
With this API, you cannot
- modify an intercepted message (you have to send a new message).
- send messages on behalf of or impersonate other users.
- intercept direct messages (except for direct messages with the bot as an
explicit recipient).
usage
usage(self)
is called to retrieve information about the bot.
Arguments
- self - the instance the method is called on.
Return values
- A string describing the bot's functionality
Example implementation
def usage(self):
return '''
This plugin will allow users to flag messages
as being follow-up items. Users should preface
messages with "@followup".
Before running this, make sure to create a channel
called "followup" that your API user can send to.
'''
handle_message
handle_message(self, message, bot_handler)
handles user message.
Arguments
-
self - the instance the method is called on.
-
message - a dictionary describing a Zulip message
-
bot_handler - used to interact with the server, e.g., to send a message
Return values
None.
Example implementation
def handle_message(self, message, bot_handler):
original_content = message['content']
original_sender = message['sender_email']
new_content = original_content.replace('@followup',
'from %s:' % (original_sender,))
bot_handler.send_message(dict(
type='stream',
to='followup',
subject=message['sender_email'],
content=new_content,
))
bot_handler.send_message
bot_handler.send_message(message)
will send a message as the bot user. Generally, this is less
convenient than send_reply, but it offers additional flexibility
about where the message is sent to.
Arguments
- message - a dictionary describing the message to be sent by the bot
Example implementation
bot_handler.send_message(dict(
type='stream', # can be 'stream' or 'private'
to=channel_name, # either the channel name or user's email
subject=subject, # message subject
content=message, # content of the sent message
))
bot_handler.send_reply
bot_handler.send_reply(message, response)
will reply to the triggering message to the same place the original
message was sent to, with the content of the reply being response.
Arguments
- message - Dictionary containing information on message to respond to
(provided by
handle_message).
- response - Response message from the bot (string).
bot_handler.update_message
bot_handler.update_message(message)
will edit the content of a previously sent message.
Arguments
- message - dictionary defining what message to edit and the new content
Example
From zulip_bots/bots/incrementor/incrementor.py:
bot_handler.update_message(dict(
message_id=self.message_id, # id of message to be updated
content=str(self.number), # string with which to update message with
))
bot_handler.storage
A common problem when writing an interactive bot is that you want to
be able to store a bit of persistent state for the bot (e.g., for an
RSVP bot, the RSVPs). For a sufficiently complex bot, you want need
your own database, but for simpler bots, we offer a convenient way for
bot code to persistently store data.
The interface for doing this is bot_handler.storage.
The data is stored in the Zulip Server's database. Each bot user has
an independent storage quota available to it.
You can use bot_handler.storage in one of two ways:
- Direct access: You can use bot_handler.storage directly, which
will result in a round-trip to the server for each
get, put, and
contains call.
- Context manager: Alternatively, you can use the
use_storage
context manager to minimize the number of round-trips to the server. We
recommend writing bots with the context manager such that they
automatically fetch data at the start of handle_message and submit the
state to the server at the end.
Context manager use_storage
use_storage(storage: BotStorage, keys: List[str])
The context manager fetches the data for the specified keys and stores
them in a CachedStorage object with a bot_handler.storage.get call for
each key, at the start. This object will not communicate with the server
until manually calling flush or getting some values that are not previously
fetched. After the context manager block is exited, it will automatically
flush any changes made to the CachedStorage object to the server.
Arguments
- storage - a BotStorage object, i.e.,
bot_handler.storage
- keys - a list of keys to fetch
Example
with use_storage(bot_handler.storage, ["foo", "bar"]) as cache:
print(cache.get("foo")) # print the value of "foo"
cache.put("foo", "new value") # update the value of "foo"
# changes are automatically flushed to the server on exiting the block
bot_handler.storage methods
When using the use_storage context manager, the bot_handler.storage
methods on the yielded object will only operate on a cached version of the
storage.
bot_handler.storage.put
bot_handler.storage.put(key, value)
will store the value value in the entry key.
Arguments
- key - a UTF-8 string
- value - a UTF-8 string
Example
bot_handler.storage.put("foo", "bar") # set entry "foo" to "bar"
bot_handler.storage.get
bot_handler.storage.get(key)
will retrieve the value for the entry key.
Arguments
Example
bot_handler.storage.put("foo", "bar")
print(bot_handler.storage.get("foo")) # print "bar"
bot_handler.storage.contains
bot_handler.storage.contains(key)
will check if the entry key exists.
Note that this will only check the cache, so it would return False if no
previous call to bot_handler.storage.get() or bot_handler.storage.put()
was made for key, since the bot was restarted.
Arguments
Example
bot_handler.storage.contains("foo") # False
bot_handler.storage.put("foo", "bar")
bot_handler.storage.contains("foo") # True
bot_handler.storage marshaling
By default, bot_handler.storage accepts any object for keys and
values, as long as it is JSON-able. Internally, the object then gets
converted to an UTF-8 string. You can specify custom data marshaling
by setting the functions bot_handler.storage.marshal and
bot_handler.storage.demarshal. These functions parse your data on
every call to put and get, respectively.
Flushing cached data to the server
When using the use_storage context manager, you can manually flush
changes made to the cache to the server, using the below methods.
cache.flush
cache.flush()
will flush all changes to the cache to the server.
Example
with use_storage(bot_handler.storage, ["foo", "bar"]) as cache:
cache.put("foo", "foo_value") # update the value of "foo"
cache.put("bar", "bar_value") # update the value of "bar"
cache.flush() # manually flush both the changes to the server
cache.flush_one
cache.flush_one(key)
will flush the changes for the specified key to the server.
Arguments
Example
with use_storage(bot_handler.storage, ["foo", "bar"]) as cache:
cache.put("foo", "baz") # update the value of "foo"
cache.put("bar", "bar_value") # update the value of "bar"
cache.flush_one("foo") # flush the changes to "foo" to the server
Configuration file
[api]
key=<api-key>
email=<email>
site=<dev-url>
-
key - the API key you created for the bot; this is how Zulip knows
the request is from an authorized user.
-
email - the email address of the bot, e.g., some-bot@zulip.com
-
site - your development environment URL; if you are working on a
development environment hosted on your computer, use
localhost:9991
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