Files
reflector/server/reflector/processors/audio_chunker.py
Mathieu Virbel 9265d201b5 fix: restore previous behavior on live pipeline + audio downscaler (#561)
This commit restore the original behavior with frame cutting. While
silero is used on our gpu for files, look like it's not working great on
the live pipeline. To be investigated, but at the moment, what we keep
is:

- refactored to extract the downscale for further processing in the
pipeline
- remove any downscale implementation from audio_chunker and audio_merge
- removed batching from audio_merge too for now
2025-08-22 10:49:26 -06:00

79 lines
2.5 KiB
Python

from typing import Optional
import av
from prometheus_client import Counter, Histogram
from reflector.processors.base import Processor
class AudioChunkerProcessor(Processor):
"""
Base class for assembling audio frames into chunks
"""
INPUT_TYPE = av.AudioFrame
OUTPUT_TYPE = list[av.AudioFrame]
m_chunk = Histogram(
"audio_chunker",
"Time spent in AudioChunker.chunk",
["backend"],
)
m_chunk_call = Counter(
"audio_chunker_call",
"Number of calls to AudioChunker.chunk",
["backend"],
)
m_chunk_success = Counter(
"audio_chunker_success",
"Number of successful calls to AudioChunker.chunk",
["backend"],
)
m_chunk_failure = Counter(
"audio_chunker_failure",
"Number of failed calls to AudioChunker.chunk",
["backend"],
)
def __init__(self, *args, **kwargs):
name = self.__class__.__name__
self.m_chunk = self.m_chunk.labels(name)
self.m_chunk_call = self.m_chunk_call.labels(name)
self.m_chunk_success = self.m_chunk_success.labels(name)
self.m_chunk_failure = self.m_chunk_failure.labels(name)
super().__init__(*args, **kwargs)
self.frames: list[av.AudioFrame] = []
async def _push(self, data: av.AudioFrame):
"""Process incoming audio frame"""
# Validate audio format on first frame
if len(self.frames) == 0:
if data.sample_rate != 16000 or len(data.layout.channels) != 1:
raise ValueError(
f"AudioChunkerProcessor expects 16kHz mono audio, got {data.sample_rate}Hz "
f"with {len(data.layout.channels)} channel(s). "
f"Use AudioDownscaleProcessor before this processor."
)
try:
self.m_chunk_call.inc()
with self.m_chunk.time():
result = await self._chunk(data)
self.m_chunk_success.inc()
if result:
await self.emit(result)
except Exception:
self.m_chunk_failure.inc()
raise
async def _chunk(self, data: av.AudioFrame) -> Optional[list[av.AudioFrame]]:
"""
Process audio frame and return chunk when ready.
Subclasses should implement their chunking logic here.
"""
raise NotImplementedError
async def _flush(self):
"""Flush any remaining frames when processing ends"""
raise NotImplementedError