Adafruit_Learning_System_Gu.../BrainCraft_Google_Assistant/gv_buttontotalk.py
2022-11-01 10:48:34 -07:00

591 lines
20 KiB
Python

# SPDX-FileCopyrightText: 2017 Google Inc.
#
# SPDX-License-Identifier: Apache-2.0
# Copyright (C) 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Sample that implements a gRPC client for the Google Assistant API."""
import concurrent.futures
import json
import logging
import os
import os.path
import pathlib2 as pathlib
import sys
import time
import uuid
import glob
sys.path.extend(glob.glob("env/lib/python3*/site-packages/googlesamples/assistant/grpc"))
import click
import grpc
import google.auth.transport.grpc
import google.auth.transport.requests
import google.oauth2.credentials
from google.assistant.embedded.v1alpha2 import (
embedded_assistant_pb2,
embedded_assistant_pb2_grpc,
)
from tenacity import retry, stop_after_attempt, retry_if_exception
try:
from . import assistant_helpers, audio_helpers, browser_helpers, device_helpers
except (SystemError, ImportError):
import assistant_helpers
import audio_helpers
import browser_helpers
import device_helpers
try:
import board
from digitalio import DigitalInOut
import adafruit_dotstar
except ImportError:
print("Blinka not installed? Run 'pip3 install adafruit-circuitpython-dotstar'")
raise ImportError(
"Blinka not installed? Run 'pip3 install adafruit-circuitpython-dotstar'"
)
# Setup button
button = DigitalInOut(board.D17)
button.switch_to_input()
# Setup DotStar LEDs
dots = adafruit_dotstar.DotStar(
board.D6,
board.D5,
3,
auto_write=True,
brightness=0.2,
pixel_order=adafruit_dotstar.BGR,
)
dots.fill(0x000000)
ASSISTANT_API_ENDPOINT = "embeddedassistant.googleapis.com"
END_OF_UTTERANCE = embedded_assistant_pb2.AssistResponse.END_OF_UTTERANCE
DIALOG_FOLLOW_ON = embedded_assistant_pb2.DialogStateOut.DIALOG_FOLLOW_ON
CLOSE_MICROPHONE = embedded_assistant_pb2.DialogStateOut.CLOSE_MICROPHONE
PLAYING = embedded_assistant_pb2.ScreenOutConfig.PLAYING
DEFAULT_GRPC_DEADLINE = 60 * 3 + 5
class SampleAssistant(object):
"""Sample Assistant that supports conversations and device actions.
Args:
device_model_id: identifier of the device model.
device_id: identifier of the registered device instance.
conversation_stream(ConversationStream): audio stream
for recording query and playing back assistant answer.
channel: authorized gRPC channel for connection to the
Google Assistant API.
deadline_sec: gRPC deadline in seconds for Google Assistant API call.
device_handler: callback for device actions.
"""
def __init__(
self,
language_code,
device_model_id,
device_id,
conversation_stream,
display,
channel,
deadline_sec,
device_handler,
):
self.language_code = language_code
self.device_model_id = device_model_id
self.device_id = device_id
self.conversation_stream = conversation_stream
self.display = display
# Opaque blob provided in AssistResponse that,
# when provided in a follow-up AssistRequest,
# gives the Assistant a context marker within the current state
# of the multi-Assist()-RPC "conversation".
# This value, along with MicrophoneMode, supports a more natural
# "conversation" with the Assistant.
self.conversation_state = None
# Force reset of first conversation.
self.is_new_conversation = True
# Create Google Assistant API gRPC client.
self.assistant = embedded_assistant_pb2_grpc.EmbeddedAssistantStub(channel)
self.deadline = deadline_sec
self.device_handler = device_handler
def __enter__(self):
return self
def __exit__(self, etype, e, traceback):
if e:
return False
self.conversation_stream.close()
def is_grpc_error_unavailable(e):
is_grpc_error = isinstance(e, grpc.RpcError)
if is_grpc_error and (e.code() == grpc.StatusCode.UNAVAILABLE):
logging.error("grpc unavailable error: %s", e)
return True
return False
@retry(
reraise=True,
stop=stop_after_attempt(3),
retry=retry_if_exception(is_grpc_error_unavailable),
)
def assist(self):
"""Send a voice request to the Assistant and playback the response.
Returns: True if conversation should continue.
"""
continue_conversation = False
device_actions_futures = []
self.conversation_stream.start_recording()
logging.info("Recording audio request.")
def iter_log_assist_requests():
for c in self.gen_assist_requests():
assistant_helpers.log_assist_request_without_audio(c)
yield c
logging.debug("Reached end of AssistRequest iteration.")
# This generator yields AssistResponse proto messages
# received from the gRPC Google Assistant API.
for resp in self.assistant.Assist(iter_log_assist_requests(), self.deadline):
assistant_helpers.log_assist_response_without_audio(resp)
if resp.event_type == END_OF_UTTERANCE:
logging.info("End of audio request detected.")
logging.info("Stopping recording.")
self.conversation_stream.stop_recording()
if resp.speech_results:
logging.info(
'Transcript of user request: "%s".',
" ".join(r.transcript for r in resp.speech_results),
)
if len(resp.audio_out.audio_data) > 0:
if not self.conversation_stream.playing:
self.conversation_stream.stop_recording()
self.conversation_stream.start_playback()
logging.info("Playing assistant response.")
self.conversation_stream.write(resp.audio_out.audio_data)
if resp.dialog_state_out.conversation_state:
conversation_state = resp.dialog_state_out.conversation_state
logging.debug("Updating conversation state.")
self.conversation_state = conversation_state
if resp.dialog_state_out.volume_percentage != 0:
volume_percentage = resp.dialog_state_out.volume_percentage
logging.info("Setting volume to %s%%", volume_percentage)
self.conversation_stream.volume_percentage = volume_percentage
if resp.dialog_state_out.microphone_mode == DIALOG_FOLLOW_ON:
continue_conversation = True
logging.info("Expecting follow-on query from user.")
elif resp.dialog_state_out.microphone_mode == CLOSE_MICROPHONE:
continue_conversation = False
if resp.device_action.device_request_json:
device_request = json.loads(resp.device_action.device_request_json)
fs = self.device_handler(device_request)
if fs:
device_actions_futures.extend(fs)
if self.display and resp.screen_out.data:
system_browser = browser_helpers.system_browser
system_browser.display(resp.screen_out.data)
if len(device_actions_futures):
logging.info("Waiting for device executions to complete.")
concurrent.futures.wait(device_actions_futures)
logging.info("Finished playing assistant response.")
self.conversation_stream.stop_playback()
return continue_conversation
def gen_assist_requests(self):
"""Yields: AssistRequest messages to send to the API."""
config = embedded_assistant_pb2.AssistConfig(
audio_in_config=embedded_assistant_pb2.AudioInConfig(
encoding="LINEAR16",
sample_rate_hertz=self.conversation_stream.sample_rate,
),
audio_out_config=embedded_assistant_pb2.AudioOutConfig(
encoding="LINEAR16",
sample_rate_hertz=self.conversation_stream.sample_rate,
volume_percentage=self.conversation_stream.volume_percentage,
),
dialog_state_in=embedded_assistant_pb2.DialogStateIn(
language_code=self.language_code,
conversation_state=self.conversation_state,
is_new_conversation=self.is_new_conversation,
),
device_config=embedded_assistant_pb2.DeviceConfig(
device_id=self.device_id,
device_model_id=self.device_model_id,
),
)
if self.display:
config.screen_out_config.screen_mode = PLAYING
# Continue current conversation with later requests.
self.is_new_conversation = False
# The first AssistRequest must contain the AssistConfig
# and no audio data.
yield embedded_assistant_pb2.AssistRequest(config=config)
for data in self.conversation_stream:
# Subsequent requests need audio data, but not config.
yield embedded_assistant_pb2.AssistRequest(audio_in=data)
@click.command()
@click.option(
"--api-endpoint",
default=ASSISTANT_API_ENDPOINT,
metavar="<api endpoint>",
show_default=True,
help="Address of Google Assistant API service.",
)
@click.option(
"--credentials",
metavar="<credentials>",
show_default=True,
default=os.path.join(click.get_app_dir("google-oauthlib-tool"), "credentials.json"),
help="Path to read OAuth2 credentials.",
)
@click.option(
"--project-id",
metavar="<project id>",
help=(
"Google Developer Project ID used for registration "
"if --device-id is not specified"
),
)
@click.option(
"--device-model-id",
metavar="<device model id>",
help=(
(
"Unique device model identifier, "
"if not specifed, it is read from --device-config"
)
),
)
@click.option(
"--device-id",
metavar="<device id>",
help=(
(
"Unique registered device instance identifier, "
"if not specified, it is read from --device-config, "
"if no device_config found: a new device is registered "
"using a unique id and a new device config is saved"
)
),
)
@click.option(
"--device-config",
show_default=True,
metavar="<device config>",
default=os.path.join(
click.get_app_dir("googlesamples-assistant"), "device_config.json"
),
help="Path to save and restore the device configuration",
)
@click.option(
"--lang",
show_default=True,
metavar="<language code>",
default="en-US",
help="Language code of the Assistant",
)
@click.option(
"--display",
is_flag=True,
default=False,
help="Enable visual display of Assistant responses in HTML.",
)
@click.option("--verbose", "-v", is_flag=True, default=False, help="Verbose logging.")
@click.option(
"--input-audio-file",
"-i",
metavar="<input file>",
help="Path to input audio file. " "If missing, uses audio capture",
)
@click.option(
"--output-audio-file",
"-o",
metavar="<output file>",
help="Path to output audio file. " "If missing, uses audio playback",
)
@click.option(
"--audio-sample-rate",
default=audio_helpers.DEFAULT_AUDIO_SAMPLE_RATE,
metavar="<audio sample rate>",
show_default=True,
help="Audio sample rate in hertz.",
)
@click.option(
"--audio-sample-width",
default=audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH,
metavar="<audio sample width>",
show_default=True,
help="Audio sample width in bytes.",
)
@click.option(
"--audio-iter-size",
default=audio_helpers.DEFAULT_AUDIO_ITER_SIZE,
metavar="<audio iter size>",
show_default=True,
help="Size of each read during audio stream iteration in bytes.",
)
@click.option(
"--audio-block-size",
default=audio_helpers.DEFAULT_AUDIO_DEVICE_BLOCK_SIZE,
metavar="<audio block size>",
show_default=True,
help=("Block size in bytes for each audio device " "read and write operation."),
)
@click.option(
"--audio-flush-size",
default=audio_helpers.DEFAULT_AUDIO_DEVICE_FLUSH_SIZE,
metavar="<audio flush size>",
show_default=True,
help=("Size of silence data in bytes written " "during flush operation"),
)
@click.option(
"--grpc-deadline",
default=DEFAULT_GRPC_DEADLINE,
metavar="<grpc deadline>",
show_default=True,
help="gRPC deadline in seconds",
)
@click.option(
"--once",
default=False,
is_flag=True,
help="Force termination after a single conversation.",
)
def main(
api_endpoint,
credentials,
project_id,
device_model_id,
device_id,
device_config,
lang,
display,
verbose,
input_audio_file,
output_audio_file,
audio_sample_rate,
audio_sample_width,
audio_iter_size,
audio_block_size,
audio_flush_size,
grpc_deadline,
once,
*args,
**kwargs
):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, "r") as f:
credentials = google.oauth2.credentials.Credentials(
token=None, **json.load(f)
)
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error("Error loading credentials: %s", e)
logging.error(
"Run google-oauthlib-tool to initialize " "new OAuth 2.0 credentials."
)
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint
)
logging.info("Connecting to %s", api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, "rb"),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
)
else:
audio_source = audio_device = audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size,
)
if output_audio_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, "wb"),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
)
else:
audio_sink = audio_device = audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size,
)
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device["id"]
device_model_id = device["model_id"]
logging.info(
"Using device model %s and device id %s", device_model_id, device_id
)
except Exception as e:
logging.warning("Device config not found: %s" % e)
logging.info("Registering device")
if not device_model_id:
logging.error(
"Option --device-model-id required "
"when registering a device instance."
)
sys.exit(-1)
if not project_id:
logging.error(
"Option --project-id required "
"when registering a device instance."
)
sys.exit(-1)
device_base_url = "https://%s/v1alpha2/projects/%s/devices" % (
api_endpoint,
project_id,
)
device_id = str(uuid.uuid1())
payload = {
"id": device_id,
"model_id": device_model_id,
"client_type": "SDK_SERVICE",
}
session = google.auth.transport.requests.AuthorizedSession(credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error("Failed to register device: %s", r.text)
sys.exit(-1)
logging.info("Device registered: %s", device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, "w") as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command("action.devices.commands.OnOff")
def onoff(on):
if on:
logging.info("Turning device on")
else:
logging.info("Turning device off")
@device_handler.command("com.example.commands.BlinkLight")
def blink(speed, number):
logging.info("Blinking device %s times." % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info("Device is blinking.")
time.sleep(delay)
with SampleAssistant(
lang,
device_model_id,
device_id,
conversation_stream,
display,
grpc_channel,
grpc_deadline,
device_handler,
) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
print("Press button to initiate a new request")
dots.fill(0x00000F) # lite blue LEDs
dots.show()
while button.value:
time.sleep(0.1)
# red LEDs
dots.fill(0xFF0000)
dots.show()
continue_conversation = assistant.assist()
# LEDs off
dots.fill(0x000000)
dots.show()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
if __name__ == "__main__":
main()