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from __future__ import annotations
import asyncio
import base64
from collections.abc import AsyncIterator
from typing import Any
from ..exceptions import UserError
from ..logger import logger
from ..tracing import Span, SpeechGroupSpanData, speech_group_span, speech_span
from ..tracing.util import time_iso
from .events import (
VoiceStreamEvent,
VoiceStreamEventAudio,
VoiceStreamEventError,
VoiceStreamEventLifecycle,
)
from .imports import np, npt
from .model import TTSModel, TTSModelSettings
from .pipeline_config import VoicePipelineConfig
def _audio_to_base64(audio_data: list[bytes]) -> str:
joined_audio_data = b"".join(audio_data)
return base64.b64encode(joined_audio_data).decode("utf-8")
class StreamedAudioResult:
"""The output of a `VoicePipeline`. Streams events and audio data as they're generated."""
def __init__(
self,
tts_model: TTSModel,
tts_settings: TTSModelSettings,
voice_pipeline_config: VoicePipelineConfig,
):
"""Create a new `StreamedAudioResult` instance.
Args:
tts_model: The TTS model to use.
tts_settings: The TTS settings to use.
voice_pipeline_config: The voice pipeline config to use.
"""
self.tts_model = tts_model
self.tts_settings = tts_settings
self.total_output_text = ""
self.instructions = tts_settings.instructions
self.text_generation_task: asyncio.Task[Any] | None = None
self._voice_pipeline_config = voice_pipeline_config
self._text_buffer = ""
self._turn_text_buffer = ""
self._queue: asyncio.Queue[VoiceStreamEvent] = asyncio.Queue()
self._tasks: list[asyncio.Task[Any]] = []
self._ordered_tasks: list[
asyncio.Queue[VoiceStreamEvent | None]
] = [] # New: list to hold local queues for each text segment
self._dispatcher_task: asyncio.Task[Any] | None = (
None # Task to dispatch audio chunks in order
)
self._done_processing = False
self._buffer_size = tts_settings.buffer_size
self._started_processing_turn = False
self._first_byte_received = False
self._generation_start_time: str | None = None
self._completed_session = False
self._stored_exception: BaseException | None = None
self._tracing_span: Span[SpeechGroupSpanData] | None = None
async def _start_turn(self):
if self._started_processing_turn:
return
self._tracing_span = speech_group_span()
self._tracing_span.start()
self._started_processing_turn = True
self._first_byte_received = False
self._generation_start_time = time_iso()
await self._queue.put(VoiceStreamEventLifecycle(event="turn_started"))
def _set_task(self, task: asyncio.Task[Any]):
self.text_generation_task = task
async def _add_error(self, error: Exception):
await self._queue.put(VoiceStreamEventError(error))
def _transform_audio_buffer(
self, buffer: list[bytes], output_dtype: npt.DTypeLike
) -> npt.NDArray[np.int16 | np.float32]:
np_array = np.frombuffer(b"".join(buffer), dtype=np.int16)
if output_dtype == np.int16:
return np_array
elif output_dtype == np.float32:
return (np_array.astype(np.float32) / 32767.0).reshape(-1, 1)
else:
raise UserError("Invalid output dtype")
async def _stream_audio(
self,
text: str,
local_queue: asyncio.Queue[VoiceStreamEvent | None],
finish_turn: bool = False,
):
with speech_span(
model=self.tts_model.model_name,
input=text if self._voice_pipeline_config.trace_include_sensitive_data else "",
model_config={
"voice": self.tts_settings.voice,
"instructions": self.instructions,
"speed": self.tts_settings.speed,
},
output_format="pcm",
parent=self._tracing_span,
) as tts_span:
try:
first_byte_received = False
buffer: list[bytes] = []
full_audio_data: list[bytes] = []
async for chunk in self.tts_model.run(text, self.tts_settings):
if not first_byte_received:
first_byte_received = True
tts_span.span_data.first_content_at = time_iso()
if chunk:
buffer.append(chunk)
full_audio_data.append(chunk)
if len(buffer) >= self._buffer_size:
audio_np = self._transform_audio_buffer(buffer, self.tts_settings.dtype)
if self.tts_settings.transform_data:
audio_np = self.tts_settings.transform_data(audio_np)
await local_queue.put(
VoiceStreamEventAudio(data=audio_np)
) # Use local queue
buffer = []
if buffer:
audio_np = self._transform_audio_buffer(buffer, self.tts_settings.dtype)
if self.tts_settings.transform_data:
audio_np = self.tts_settings.transform_data(audio_np)
await local_queue.put(VoiceStreamEventAudio(data=audio_np)) # Use local queue
if self._voice_pipeline_config.trace_include_sensitive_audio_data:
tts_span.span_data.output = _audio_to_base64(full_audio_data)
else:
tts_span.span_data.output = ""
if finish_turn:
await local_queue.put(VoiceStreamEventLifecycle(event="turn_ended"))
else:
await local_queue.put(None) # Signal completion for this segment
except Exception as e:
tts_span.set_error(
{
"message": str(e),
"data": {
"text": text
if self._voice_pipeline_config.trace_include_sensitive_data
else "",
},
}
)
logger.error(f"Error streaming audio: {e}")
# Signal completion for whole session because of error
await local_queue.put(VoiceStreamEventLifecycle(event="session_ended"))
raise e
async def _add_text(self, text: str):
await self._start_turn()
self._text_buffer += text
self.total_output_text += text
self._turn_text_buffer += text
combined_sentences, self._text_buffer = self.tts_settings.text_splitter(self._text_buffer)
if len(combined_sentences) >= 20:
local_queue: asyncio.Queue[VoiceStreamEvent | None] = asyncio.Queue()
self._ordered_tasks.append(local_queue)
self._tasks.append(
asyncio.create_task(self._stream_audio(combined_sentences, local_queue))
)
if self._dispatcher_task is None:
self._dispatcher_task = asyncio.create_task(self._dispatch_audio())
async def _turn_done(self):
if self._text_buffer:
local_queue: asyncio.Queue[VoiceStreamEvent | None] = asyncio.Queue()
self._ordered_tasks.append(local_queue) # Append the local queue for the final segment
self._tasks.append(
asyncio.create_task(
self._stream_audio(self._text_buffer, local_queue, finish_turn=True)
)
)
self._text_buffer = ""
self._done_processing = True
if self._dispatcher_task is None:
self._dispatcher_task = asyncio.create_task(self._dispatch_audio())
await asyncio.gather(*self._tasks)
def _finish_turn(self):
if self._tracing_span:
if self._voice_pipeline_config.trace_include_sensitive_data:
self._tracing_span.span_data.input = self._turn_text_buffer
else:
self._tracing_span.span_data.input = ""
self._tracing_span.finish()
self._tracing_span = None
self._turn_text_buffer = ""
self._started_processing_turn = False
async def _done(self):
self._completed_session = True
await self._wait_for_completion()
async def _dispatch_audio(self):
# Dispatch audio chunks from each segment in the order they were added
while True:
if len(self._ordered_tasks) == 0:
if self._completed_session:
break
await asyncio.sleep(0)
continue
local_queue = self._ordered_tasks.pop(0)
while True:
chunk = await local_queue.get()
if chunk is None:
break
await self._queue.put(chunk)
if isinstance(chunk, VoiceStreamEventLifecycle):
local_queue.task_done()
if chunk.event == "turn_ended":
self._finish_turn()
break
await self._queue.put(VoiceStreamEventLifecycle(event="session_ended"))
async def _wait_for_completion(self):
tasks: list[asyncio.Task[Any]] = self._tasks
if self._dispatcher_task is not None:
tasks.append(self._dispatcher_task)
await asyncio.gather(*tasks)
def _cleanup_tasks(self):
self._finish_turn()
for task in self._tasks:
if not task.done():
task.cancel()
if self._dispatcher_task and not self._dispatcher_task.done():
self._dispatcher_task.cancel()
if self.text_generation_task and not self.text_generation_task.done():
self.text_generation_task.cancel()
def _check_errors(self):
for task in self._tasks:
if task.done():
if task.exception():
self._stored_exception = task.exception()
break
async def stream(self) -> AsyncIterator[VoiceStreamEvent]:
"""Stream the events and audio data as they're generated."""
while True:
try:
event = await self._queue.get()
except asyncio.CancelledError:
break
if isinstance(event, VoiceStreamEventError):
self._stored_exception = event.error
logger.error(f"Error processing output: {event.error}")
break
if event is None:
break
yield event
if event.type == "voice_stream_event_lifecycle" and event.event == "session_ended":
break
self._check_errors()
self._cleanup_tasks()
if self._stored_exception:
raise self._stored_exception
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