- Added Pi camera stream over TCP backend

- More consistent event handling for the pushtotalk assistant
- Added general GPIO module
This commit is contained in:
Fabio Manganiello 2018-03-24 03:05:46 +01:00
parent a14d6fe652
commit b5567c289f
6 changed files with 127 additions and 18 deletions

View File

@ -122,18 +122,6 @@ class AssistantGooglePushtotalkBackend(Backend):
self.device_handler = device_helpers.DeviceRequestHandler(self.device_id)
def _process_event(self, event):
logging.info('Received assistant event: {}'.format(event))
if event.type == EventType.ON_CONVERSATION_TURN_STARTED:
self.bus.post(ConversationStartEvent())
elif event.type == EventType.ON_CONVERSATION_TURN_FINISHED:
self.bus.post(ConversationEndEvent())
elif event.type == EventType.ON_RECOGNIZING_SPEECH_FINISHED:
phrase = event.args['text'].lower().strip()
logging.info('Speech recognized: {}'.format(phrase))
self.bus.post(SpeechRecognizedEvent(phrase=phrase))
def start_conversation(self):
if self.assistant:
with open(self.conversation_start_fifo, 'w') as f:
@ -142,30 +130,42 @@ class AssistantGooglePushtotalkBackend(Backend):
def stop_conversation(self):
if self.assistant:
self.conversation_stream.stop_playback()
self.bus.post(ConversationEndEvent())
def send_message(self, msg):
pass
def on_conversation_start(self):
self.bus.post(ConversationStartEvent())
def on_conversation_end(self):
self.bus.post(ConversationEndEvent())
def on_speech_recognized(self, speech):
self.bus.post(SpeechRecognizedEvent(phrase=speech))
def run(self):
super().run()
with SampleAssistant(self.lang, self.device_model_id, self.device_id,
self.conversation_stream,
self.grpc_channel, self.grpc_deadline,
self.device_handler) as self.assistant:
self.device_handler,
on_conversation_start=self.on_conversation_start,
on_conversation_end=self.on_conversation_end,
on_speech_recognized=self.on_speech_recognized) as self.assistant:
while not self.should_stop():
with open(self.conversation_start_fifo, 'r') as f:
for line in f: pass
logging.info('Assistant conversation triggered')
logging.info('Received conversation start event')
continue_conversation = True
user_request = None
while continue_conversation:
(user_request, continue_conversation) = self.assistant.assist()
if user_request:
self.bus.post(SpeechRecognizedEvent(phrase=user_request))
self.on_conversation_end()
class SampleAssistant(object):
@ -188,12 +188,19 @@ class SampleAssistant(object):
def __init__(self, language_code, device_model_id, device_id,
conversation_stream,
channel, deadline_sec, device_handler):
channel, deadline_sec, device_handler,
on_conversation_start=None,
on_conversation_end=None,
on_speech_recognized=None):
self.language_code = language_code
self.device_model_id = device_model_id
self.device_id = device_id
self.conversation_stream = conversation_stream
self.on_conversation_start = on_conversation_start
self.on_conversation_end = on_conversation_end
self.on_speech_recognized = on_speech_recognized
# Opaque blob provided in AssistResponse that,
# when provided in a follow-up AssistRequest,
# gives the Assistant a context marker within the current state
@ -238,6 +245,9 @@ class SampleAssistant(object):
self.conversation_stream.start_recording()
logging.info('Recording audio request.')
if self.on_conversation_start:
self.on_conversation_start()
def iter_assist_requests():
for c in self.gen_assist_requests():
assistant_helpers.log_assist_request_without_audio(c)
@ -291,6 +301,9 @@ class SampleAssistant(object):
if user_request:
self.conversation_stream.stop_playback()
if self.on_speech_recognized:
self.on_speech_recognized(user_request)
return (user_request, continue_conversation)
def gen_assist_requests(self):

View File

View File

@ -0,0 +1,56 @@
import logging
import socket
import time
import picamera
from platypush.backend import Backend
class CameraPiBackend(Backend):
def __init__(self, listen_port, x_resolution=640, y_resolution=480,
framerate=24, hflip=False, vflip=False, **kwargs):
super().__init__(**kwargs)
self.listen_port = listen_port
self.x_resolution = x_resolution
self.y_resolution = y_resolution
self.framerate = framerate
self.hflip = hflip
self.vflip = vflip
self.server_socket = socket.socket()
self.server_socket.bind(('0.0.0.0', self.listen_port))
self.server_socket.listen(0)
self.camera = picamera.PiCamera()
self.camera.resolution = (self.x_resolution, self.y_resolution)
self.camera.framerate = framerate
self.camera.hflip = self.hflip
self.camera.vflip = self.vflip
logging.info('Initialized Pi camera backend')
def send_message(self, msg):
pass
def run(self):
super().run()
while True:
connection = self.server_socket.accept()[0].makefile('wb')
try:
self.camera.start_recording(connection, format='h264')
while True:
self.camera.wait_recording(60)
except ConnectionError as e:
pass
finally:
try:
self.camera.stop_recording()
connection.close()
except:
pass
# vim:sw=4:ts=4:et:

View File

@ -0,0 +1,36 @@
import logging
import threading
import time
import RPi.GPIO as gpio
from platypush.message.response import Response
from platypush.plugins import Plugin
class GpioPlugin(Plugin):
def write(self, pin, val):
gpio.setmode(gpio.BCM)
gpio.setup(pin, gpio.OUT)
gpio.output(pin, val)
return Response(output={
'pin': pin,
'val': val,
'method': 'write',
})
def read(self, pin, val):
gpio.setmode(gpio.BCM)
gpio.setup(pin, gpio.IN)
val = gpio.input(pin)
return Response(output={
'pin': pin,
'val': val,
'method': 'read',
})
# vim:sw=4:ts=4:et:

View File

@ -646,8 +646,9 @@ Sets the current state of the LED, False for off, True for on
self.RawWrite(COMMAND_SET_LED, [level])
except KeyboardInterrupt:
raise
except:
except Exception as e:
self.Print('Failed sending LED state!')
self.Print(e)
def GetLed(self):

View File

@ -60,3 +60,6 @@ pylast
# Custom hotword detection: Snowboy
snowboy
# Support for the RaspberryPi camera module
# apt install python3-picamera