Add TTS to pipelines (#90004)

* Add text to speech and stages to pipeline

* Default to "cloud" TTS when engine is None

* Refactor pipeline request to split text/audio

* Refactor with PipelineRun

* Generate pipeline from language

* Clean up

* Restore TTS code

* Add audio pipeline test

* Clean TTS cache in test

* Clean up tests and pipeline base class

* Stop pylint and pytest magics from fighting

* Include mock_get_cache_files
pull/90081/head
Michael Hansen 2023-03-21 20:10:31 -05:00 committed by GitHub
parent ddcaa9d372
commit 0e7ffff869
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5 changed files with 289 additions and 74 deletions

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@ -4,20 +4,13 @@ from __future__ import annotations
from homeassistant.core import HomeAssistant
from homeassistant.helpers.typing import ConfigType
from .const import DEFAULT_PIPELINE, DOMAIN
from .pipeline import Pipeline
from .const import DOMAIN
from .websocket_api import async_register_websocket_api
async def async_setup(hass: HomeAssistant, config: ConfigType) -> bool:
"""Set up Voice Assistant integration."""
hass.data[DOMAIN] = {
DEFAULT_PIPELINE: Pipeline(
name=DEFAULT_PIPELINE,
language=None,
conversation_engine=None,
)
}
hass.data[DOMAIN] = {}
async_register_websocket_api(hass)
return True

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@ -1,6 +1,7 @@
"""Classes for voice assistant pipelines."""
from __future__ import annotations
from abc import ABC, abstractmethod
import asyncio
from collections.abc import Callable
from dataclasses import dataclass, field
@ -8,20 +9,16 @@ from typing import Any
from homeassistant.backports.enum import StrEnum
from homeassistant.components import conversation
from homeassistant.components.media_source import async_resolve_media
from homeassistant.components.tts.media_source import (
generate_media_source_id as tts_generate_media_source_id,
)
from homeassistant.core import Context, HomeAssistant
from homeassistant.util.dt import utcnow
DEFAULT_TIMEOUT = 30 # seconds
@dataclass
class PipelineRequest:
"""Request to start a pipeline run."""
intent_input: str
conversation_id: str | None = None
class PipelineEventType(StrEnum):
"""Event types emitted during a pipeline run."""
@ -29,6 +26,8 @@ class PipelineEventType(StrEnum):
RUN_FINISH = "run-finish"
INTENT_START = "intent-start"
INTENT_FINISH = "intent-finish"
TTS_START = "tts-start"
TTS_FINISH = "tts-finish"
ERROR = "error"
@ -56,69 +55,161 @@ class Pipeline:
name: str
language: str | None
conversation_engine: str | None
tts_engine: str | None
async def run(
self,
hass: HomeAssistant,
context: Context,
request: PipelineRequest,
event_callback: Callable[[PipelineEvent], None],
timeout: int | float | None = DEFAULT_TIMEOUT,
) -> None:
"""Run a pipeline with an optional timeout."""
await asyncio.wait_for(
self._run(hass, context, request, event_callback), timeout=timeout
)
async def _run(
self,
hass: HomeAssistant,
context: Context,
request: PipelineRequest,
event_callback: Callable[[PipelineEvent], None],
) -> None:
"""Run a pipeline."""
language = self.language or hass.config.language
event_callback(
@dataclass
class PipelineRun:
"""Running context for a pipeline."""
hass: HomeAssistant
context: Context
pipeline: Pipeline
event_callback: Callable[[PipelineEvent], None]
language: str = None # type: ignore[assignment]
def __post_init__(self):
"""Set language for pipeline."""
self.language = self.pipeline.language or self.hass.config.language
def start(self):
"""Emit run start event."""
self.event_callback(
PipelineEvent(
PipelineEventType.RUN_START,
{
"pipeline": self.name,
"language": language,
"pipeline": self.pipeline.name,
"language": self.language,
},
)
)
intent_input = request.intent_input
def finish(self):
"""Emit run finish event."""
self.event_callback(
PipelineEvent(
PipelineEventType.RUN_FINISH,
)
)
event_callback(
async def recognize_intent(
self, intent_input: str, conversation_id: str | None
) -> conversation.ConversationResult:
"""Run intent recognition portion of pipeline."""
self.event_callback(
PipelineEvent(
PipelineEventType.INTENT_START,
{
"engine": self.conversation_engine or "default",
"engine": self.pipeline.conversation_engine or "default",
"intent_input": intent_input,
},
)
)
conversation_result = await conversation.async_converse(
hass=hass,
hass=self.hass,
text=intent_input,
conversation_id=request.conversation_id,
context=context,
language=language,
agent_id=self.conversation_engine,
conversation_id=conversation_id,
context=self.context,
language=self.language,
agent_id=self.pipeline.conversation_engine,
)
event_callback(
self.event_callback(
PipelineEvent(
PipelineEventType.INTENT_FINISH,
{"intent_output": conversation_result.as_dict()},
)
)
event_callback(
return conversation_result
async def text_to_speech(self, tts_input: str) -> str:
"""Run text to speech portion of pipeline. Returns URL of TTS audio."""
self.event_callback(
PipelineEvent(
PipelineEventType.RUN_FINISH,
PipelineEventType.TTS_START,
{
"engine": self.pipeline.tts_engine or "default",
"tts_input": tts_input,
},
)
)
tts_media = await async_resolve_media(
self.hass,
tts_generate_media_source_id(
self.hass,
tts_input,
engine=self.pipeline.tts_engine,
),
)
tts_url = tts_media.url
self.event_callback(
PipelineEvent(
PipelineEventType.TTS_FINISH,
{"tts_output": tts_url},
)
)
return tts_url
@dataclass
class PipelineRequest(ABC):
"""Request to for a pipeline run."""
async def execute(
self, run: PipelineRun, timeout: int | float | None = DEFAULT_TIMEOUT
):
"""Run pipeline with optional timeout."""
await asyncio.wait_for(
self._execute(run),
timeout=timeout,
)
@abstractmethod
async def _execute(self, run: PipelineRun):
"""Run pipeline with request info and context."""
@dataclass
class TextPipelineRequest(PipelineRequest):
"""Request to run the text portion only of a pipeline."""
intent_input: str
conversation_id: str | None = None
async def _execute(
self,
run: PipelineRun,
):
run.start()
await run.recognize_intent(self.intent_input, self.conversation_id)
run.finish()
@dataclass
class AudioPipelineRequest(PipelineRequest):
"""Request to full pipeline from audio input (stt) to audio output (tts)."""
intent_input: str # this will be changed to stt audio
conversation_id: str | None = None
async def _execute(self, run: PipelineRun):
run.start()
# stt will go here
conversation_result = await run.recognize_intent(
self.intent_input, self.conversation_id
)
tts_input = conversation_result.response.speech.get("plain", {}).get(
"speech", ""
)
await run.text_to_speech(tts_input)
run.finish()

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@ -7,7 +7,7 @@ from homeassistant.components import websocket_api
from homeassistant.core import HomeAssistant, callback
from .const import DOMAIN
from .pipeline import DEFAULT_TIMEOUT, PipelineRequest
from .pipeline import DEFAULT_TIMEOUT, Pipeline, PipelineRun, TextPipelineRequest
@callback
@ -19,7 +19,8 @@ def async_register_websocket_api(hass: HomeAssistant) -> None:
@websocket_api.websocket_command(
{
vol.Required("type"): "voice_assistant/run",
vol.Optional("pipeline", default="default"): str,
vol.Optional("language"): str,
vol.Optional("pipeline"): str,
vol.Required("intent_input"): str,
vol.Optional("conversation_id"): vol.Any(str, None),
vol.Optional("timeout"): vol.Any(float, int),
@ -32,27 +33,42 @@ async def websocket_run(
msg: dict[str, Any],
) -> None:
"""Run a pipeline."""
pipeline_id = msg["pipeline"]
pipeline = hass.data[DOMAIN].get(pipeline_id)
if pipeline is None:
connection.send_error(
msg["id"], "pipeline_not_found", f"Pipeline not found: {pipeline_id}"
pipeline_id = msg.get("pipeline")
if pipeline_id is not None:
pipeline = hass.data[DOMAIN].get(pipeline_id)
if pipeline is None:
connection.send_error(
msg["id"],
"pipeline_not_found",
f"Pipeline not found: {pipeline_id}",
)
return
else:
# Construct a pipeline for the required/configured language
language = msg.get("language", hass.config.language)
pipeline = Pipeline(
name=language,
language=language,
conversation_engine=None,
tts_engine=None,
)
return
# Run pipeline with a timeout.
# Events are sent over the websocket connection.
timeout = msg.get("timeout", DEFAULT_TIMEOUT)
run_task = hass.async_create_task(
pipeline.run(
hass,
connection.context(msg),
request=PipelineRequest(
intent_input=msg["intent_input"],
conversation_id=msg.get("conversation_id"),
),
event_callback=lambda event: connection.send_event(
msg["id"], event.as_dict()
TextPipelineRequest(
intent_input=msg["intent_input"],
conversation_id=msg.get("conversation_id"),
).execute(
PipelineRun(
hass,
connection.context(msg),
pipeline,
event_callback=lambda event: connection.send_event(
msg["id"], event.as_dict()
),
),
timeout=timeout,
)

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@ -0,0 +1,110 @@
"""Pipeline tests for Voice Assistant integration."""
from unittest.mock import MagicMock, patch
import pytest
from homeassistant.components.voice_assistant.pipeline import (
AudioPipelineRequest,
Pipeline,
PipelineEventType,
PipelineRun,
)
from homeassistant.core import Context
from homeassistant.setup import async_setup_component
from tests.components.tts.conftest import ( # noqa: F401, pylint: disable=unused-import
mock_get_cache_files,
mock_init_cache_dir,
)
@pytest.fixture(autouse=True)
async def init_components(hass):
"""Initialize relevant components with empty configs."""
assert await async_setup_component(hass, "voice_assistant", {})
@pytest.fixture
async def mock_get_tts_audio(hass):
"""Set up media source."""
assert await async_setup_component(hass, "media_source", {})
assert await async_setup_component(
hass,
"tts",
{
"tts": {
"platform": "demo",
}
},
)
with patch(
"homeassistant.components.demo.tts.DemoProvider.get_tts_audio",
return_value=("mp3", b""),
) as mock_get_tts:
yield mock_get_tts
async def test_audio_pipeline(hass, mock_get_tts_audio):
"""Run audio pipeline with mock TTS."""
pipeline = Pipeline(
name="test",
language=hass.config.language,
conversation_engine=None,
tts_engine=None,
)
event_callback = MagicMock()
await AudioPipelineRequest(intent_input="Are the lights on?").execute(
PipelineRun(
hass,
context=Context(),
pipeline=pipeline,
event_callback=event_callback,
language=hass.config.language,
)
)
calls = event_callback.mock_calls
assert calls[0].args[0].type == PipelineEventType.RUN_START
assert calls[0].args[0].data == {
"pipeline": "test",
"language": hass.config.language,
}
assert calls[1].args[0].type == PipelineEventType.INTENT_START
assert calls[1].args[0].data == {
"engine": "default",
"intent_input": "Are the lights on?",
}
assert calls[2].args[0].type == PipelineEventType.INTENT_FINISH
assert calls[2].args[0].data == {
"intent_output": {
"conversation_id": None,
"response": {
"card": {},
"data": {"code": "no_intent_match"},
"language": hass.config.language,
"response_type": "error",
"speech": {
"plain": {
"extra_data": None,
"speech": "Sorry, I couldn't understand that",
}
},
},
}
}
assert calls[3].args[0].type == PipelineEventType.TTS_START
assert calls[3].args[0].data == {
"engine": "default",
"tts_input": "Sorry, I couldn't understand that",
}
assert calls[4].args[0].type == PipelineEventType.TTS_FINISH
assert (
calls[4].args[0].data["tts_output"]
== f"/api/tts_proxy/dae2cdcb27a1d1c3b07ba2c7db91480f9d4bfd8f_{hass.config.language}_-_demo.mp3"
)
assert calls[5].args[0].type == PipelineEventType.RUN_FINISH

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@ -24,7 +24,11 @@ async def test_text_only_pipeline(
client = await hass_ws_client(hass)
await client.send_json(
{"id": 5, "type": "voice_assistant/run", "intent_input": "Are the lights on?"}
{
"id": 5,
"type": "voice_assistant/run",
"intent_input": "Are the lights on?",
}
)
# result
@ -35,7 +39,7 @@ async def test_text_only_pipeline(
msg = await client.receive_json()
assert msg["event"]["type"] == "run-start"
assert msg["event"]["data"] == {
"pipeline": "default",
"pipeline": hass.config.language,
"language": hass.config.language,
}
@ -83,7 +87,8 @@ async def test_conversation_timeout(
await asyncio.sleep(3600)
with patch(
"homeassistant.components.conversation.async_converse", new=sleepy_converse
"homeassistant.components.conversation.async_converse",
new=sleepy_converse,
):
await client.send_json(
{
@ -102,7 +107,7 @@ async def test_conversation_timeout(
msg = await client.receive_json()
assert msg["event"]["type"] == "run-start"
assert msg["event"]["data"] == {
"pipeline": "default",
"pipeline": hass.config.language,
"language": hass.config.language,
}
@ -130,7 +135,7 @@ async def test_pipeline_timeout(
await asyncio.sleep(3600)
with patch(
"homeassistant.components.voice_assistant.pipeline.Pipeline._run",
"homeassistant.components.voice_assistant.pipeline.TextPipelineRequest._execute",
new=sleepy_run,
):
await client.send_json(