Boilerplate for Snips skills in Python3
Project description
snips-skill
Helpers to keep Snips skills in Python3 free of boilerplate code.
Contents
MqttClient
: A thin wrapper around paho-mqttCommandLineClient
skeleton MQTT command line client with connection settings.SnipsClient
: Reads connection parameters from/etc/snips/toml
- Snips-specific decorators for callbacks, see below.
MultiRoomConfig
: Utilities for multi-room setups.Skill
: Base class for Snips actions.@intent
decorator, see below.StateAwareMixin
with@when
and@conditional
decorators for stateful MQTT clients.
Plain MQTT clients
Plain MQTT is supported via the MqttClient
and CommandLineClient
classes
and the @topic
decorator.
A CommandLineClient
provides argument parsing for connection parameters and includes
standard logging. For message handling, define a function or method as
above, and decorate it with @topic
. This registers the method (or function)
as a callback for the given MQTT topic.
Usage example
from snips_skill import CommandLineClient, topic
class Logger(CommandLineClient):
'Log all incoming MQTT messages'
@topic('#')
def print_msg(self, userdata, msg):
self.log.info("%s: %s", msg.topic, msg.payload[:64])
if __name__ == '__main__':
Logger().run()
Snips session event decorators
The Skill
class provides automatic connection configuration via /etc/snips/toml
.
Also, the following Snips-specific decorators for session events are provided:
on_intent
: Handle intents,on_intent_not_recognized
: Handle unknown intents,on_start_session
: Called before session start,on_continue_session
: Called for subsequent session prompts,on_session_started
: Called at session start,on_end_session
: Called before session end,on_session_ended
: Called at session end.
All decorators can be used either on standalone callback functions,
or on methods of the various client classes (including Skill
).
Methods should expect the parameters self, userdata, msg
, and
standalone functions should expect client, userdata, msg
.
Multiple decorators on the same method are possible,
but if they have inconsistent qos
values, the results will be unpredictable.
Also note that multiple decorators will produce repetitive log lines
with DEBUG
level. Set log_level=None
on all but one decorator to fix it.
The @intent
decorator
@intent
-decorated callbacks receive msg.paylod
as an IntentPayload
object, a parsed version of the JSON intent data.
Slot values are converted to appropriate Python types.
The next step in the Snips session depends on the outcome of the decorated function or method:
- If the function returns a string or raises a
SnipsError
, the session ends with a message, - If it returns en empty string, the session is ended silently.
- If it raises a
SnipsClarificationError
, the session is continued with a question. This can be used to narrow down parameters or to implement question-and-answer sequences.
To require a minimum level of confidence for an intent,
put @min_confidence
below @intent
.
To ensure that certain slots are present in the intent,
put @require_slot
with a slot name below @intent
.
The @intent
decorator should not be used in combination
with any on_*
decorators.
Usage example
from snips_skill import intent, Skill
class HelloSkill(Skill):
'Snips skill to say hello'
@intent('example:hello')
def say_hello(self, userdata, msg):
return 'Hello, there'
if __name__ == '__main__':
HelloSkill().run()
StateAwareMixin
, @when
and @conditional
decorators
These define actions triggered by state changes on MQTT. Example: Sensor registers motion -> switch the light on
Clients can use StateAwareMixin
to track the last known state
of relevant topics. For that, a status_topic
needs to be configured
in the global section of config.ini
.
Topics and payloads are kept in self.current_state
.
Change handlers should be decorated with either @when
or @conditional
.
The former triggers the handler whenever a boolean condition on the current
state is fulfilled, the latter whenever a MQTT topic relevant for the given boolean condition changes.
Usage example
@when('topic/a > 0')
def topic_a_handler(self):
... # do something
@conditional('topic/a != 0 or topic/b != 0')
def topic_a_or_b_handler(self, on):
if on:
... # switch something on
else:
... # switch it off
Boolean expressions, numeric comparisons, string (in)equality and string matching with regular expressions are supported. As usual, parentheses can be used to control the evaluation order.
See test_expr.py
for the exact grammar.
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