Merge branch 'igor/dailico-2' of github-monadical:Monadical-SAS/reflector into igor/dailico-2

This commit is contained in:
Igor Loskutov
2025-10-17 10:00:40 -04:00
3 changed files with 136 additions and 151 deletions

View File

@@ -57,7 +57,10 @@ class PipelineMainMultitrack(PipelineMainBase):
self.empty_pipeline = EmptyPipeline(logger=self.logger)
async def mixdown_tracks(
self, track_datas: list[bytes], writer: AudioFileWriterProcessor
self,
track_datas: list[bytes],
writer: AudioFileWriterProcessor,
offsets_seconds: list[float] | None = None,
) -> None:
"""
Minimal multi-track mixdown using a PyAV filter graph (amix), no resampling.
@@ -85,10 +88,22 @@ class PipelineMainMultitrack(PipelineMainBase):
self.logger.warning("Mixdown skipped - no decodable audio frames found")
return
# Build PyAV filter graph: N abuffer (s32/stereo) -> amix (s32) -> aformat(s16) -> sink
# Build PyAV filter graph:
# N abuffer (s32/stereo)
# -> optional adelay per input (for alignment)
# -> amix (s32)
# -> aformat(s16)
# -> sink
graph = av.filter.Graph()
inputs = []
for idx, data in enumerate([d for d in track_datas if d]):
valid_track_datas = [d for d in track_datas if d]
# Align offsets list with the filtered inputs (skip empties)
input_offsets_seconds = None
if offsets_seconds is not None:
input_offsets_seconds = [
offsets_seconds[i] for i, d in enumerate(track_datas) if d
]
for idx, data in enumerate(valid_track_datas):
args = (
f"time_base=1/{target_sample_rate}:"
f"sample_rate={target_sample_rate}:"
@@ -114,15 +129,36 @@ class PipelineMainMultitrack(PipelineMainBase):
sink = graph.add("abuffersink", name="out")
# Optional per-input delay before mixing
delays_ms: list[int] = []
if input_offsets_seconds is not None:
base = min(input_offsets_seconds) if input_offsets_seconds else 0.0
delays_ms = [
max(0, int(round((o - base) * 1000))) for o in input_offsets_seconds
]
else:
delays_ms = [0 for _ in inputs]
for idx, in_ctx in enumerate(inputs):
in_ctx.link_to(mixer, 0, idx)
delay_ms = delays_ms[idx] if idx < len(delays_ms) else 0
if delay_ms > 0:
# adelay requires one value per channel; use same for stereo
adelay = graph.add(
"adelay",
args=f"delays={delay_ms}|{delay_ms}:all=1",
name=f"delay{idx}",
)
in_ctx.link_to(adelay)
adelay.link_to(mixer, 0, idx)
else:
in_ctx.link_to(mixer, 0, idx)
mixer.link_to(fmt)
fmt.link_to(sink)
graph.configure()
# Open containers for decoding
containers = []
for i, d in enumerate([d for d in track_datas if d]):
for i, d in enumerate(valid_track_datas):
try:
c = av.open(io.BytesIO(d))
containers.append(c)
@@ -192,38 +228,7 @@ class PipelineMainMultitrack(PipelineMainBase):
async with self.lock_transaction():
return await transcripts_controller.set_status(transcript_id, status)
async def _list_immediate_keys(
self, s3, bucket_name: str, prefix: str
) -> list[str]:
paginator = s3.get_paginator("list_objects_v2")
raw_prefix = prefix.rstrip("/")
prefixes = [raw_prefix, raw_prefix + "/"]
keys: set[str] = set()
for pref in prefixes:
for page in paginator.paginate(Bucket=bucket_name, Prefix=pref):
for obj in page.get("Contents", []):
key = obj["Key"]
if not key.startswith(pref):
continue
if pref.endswith("/"):
rel = key[len(pref) :]
if not rel or rel.endswith("/") or "/" in rel:
continue
else:
if key != pref:
continue
keys.add(key)
result = sorted(keys)
self.logger.info(
"S3 list immediate files",
prefixes=prefixes,
total_keys=len(result),
sample=result[:5],
)
return result
async def process(self, bucket_name: str, prefix: str):
async def process(self, bucket_name: str, track_keys: list[str]):
transcript = await self.get_transcript()
s3 = boto3.client(
@@ -233,15 +238,11 @@ class PipelineMainMultitrack(PipelineMainBase):
aws_secret_access_key=settings.RECORDING_STORAGE_AWS_SECRET_ACCESS_KEY,
)
keys = await self._list_immediate_keys(s3, bucket_name, prefix)
if not keys:
raise Exception("No audio tracks found under prefix")
storage = get_transcripts_storage()
# Pre-download bytes for all tracks for mixing and transcription
track_datas: list[bytes] = []
for key in keys:
for key in track_keys:
try:
obj = s3.get_object(Bucket=bucket_name, Key=key)
track_datas.append(obj["Body"].read())
@@ -251,18 +252,36 @@ class PipelineMainMultitrack(PipelineMainBase):
)
track_datas.append(b"")
# Estimate offsets from first frame PTS, aligned to track_keys
offsets_seconds: list[float] = []
for data, key in zip(track_datas, track_keys):
off_s = 0.0
if data:
try:
c = av.open(io.BytesIO(data))
try:
for frame in c.decode(audio=0):
if frame.pts is not None and frame.time_base:
off_s = float(frame.pts * frame.time_base)
break
finally:
c.close()
except Exception:
pass
offsets_seconds.append(max(0.0, float(off_s)))
# Mixdown all available tracks into transcript.audio_mp3_filename, preserving sample rate
try:
mp3_writer = AudioFileWriterProcessor(
path=str(transcript.audio_mp3_filename)
)
await self.mixdown_tracks(track_datas, mp3_writer)
await self.mixdown_tracks(track_datas, mp3_writer, offsets_seconds)
await mp3_writer.flush()
except Exception as e:
self.logger.error("Mixdown failed", error=str(e))
speaker_transcripts: list[TranscriptType] = []
for idx, key in enumerate(keys):
for idx, key in enumerate(track_keys):
ext = ".mp4"
try:
@@ -322,7 +341,16 @@ class PipelineMainMultitrack(PipelineMainBase):
if not t.words:
continue
# Shift word timestamps by the track's offset so all are relative to 00:00
track_offset = offsets_seconds[idx] if idx < len(offsets_seconds) else 0.0
for w in t.words:
try:
if hasattr(w, "start") and w.start is not None:
w.start = float(w.start) + track_offset
if hasattr(w, "end") and w.end is not None:
w.end = float(w.end) + track_offset
except Exception:
pass
w.speaker = idx
speaker_transcripts.append(t)
@@ -433,12 +461,12 @@ class PipelineMainMultitrack(PipelineMainBase):
@shared_task
@asynctask
async def task_pipeline_multitrack_process(
*, transcript_id: str, bucket_name: str, prefix: str
*, transcript_id: str, bucket_name: str, track_keys: list[str]
):
pipeline = PipelineMainMultitrack(transcript_id=transcript_id)
try:
await pipeline.set_status(transcript_id, "processing")
await pipeline.process(bucket_name, prefix)
await pipeline.process(bucket_name, track_keys)
except Exception:
await pipeline.set_status(transcript_id, "error")
raise

View File

@@ -8,7 +8,9 @@ from pydantic import BaseModel
from reflector.db.meetings import meetings_controller
from reflector.logger import logger
from reflector.settings import settings
from reflector.video_platforms.factory import create_platform_client
from reflector.worker.process import process_multitrack_recording
router = APIRouter()
@@ -191,30 +193,28 @@ async def _handle_recording_ready(event: DailyWebhookEvent):
)
return
meeting = await meetings_controller.get_by_room_name(room_name)
if not meeting:
logger.warning(
"recording.ready-to-download: meeting not found", room_name=room_name
)
return
logger.info(
"Recording ready for download",
meeting_id=meeting.id,
room_name=room_name,
recording_id=recording_id,
num_tracks=len(tracks),
platform="daily",
)
# Import at runtime to avoid circular dependency (process.py imports from daily.py)
from reflector.worker.process import process_daily_recording # noqa: PLC0415
bucket_name = settings.AWS_DAILY_S3_BUCKET
if not bucket_name:
logger.error(
"AWS_DAILY_S3_BUCKET not configured; cannot process Daily recording"
)
return
# Convert Pydantic models to dicts for Celery serialization
process_daily_recording.delay(
meeting_id=meeting.id,
recording_id=recording_id or event.id,
tracks=[t.model_dump() for t in tracks],
track_keys = [t.s3Key for t in tracks if t.type == "audio"]
process_multitrack_recording.delay(
bucket_name=bucket_name,
room_name=room_name,
recording_id=recording_id,
track_keys=track_keys,
)

View File

@@ -153,65 +153,63 @@ async def process_recording(bucket_name: str, object_key: str):
@shared_task
@asynctask
async def process_multitrack_recording(bucket_name: str, prefix: str):
async def process_multitrack_recording(
bucket_name: str,
room_name: str,
recording_id: str,
track_keys: list[str],
):
logger.info(
"Processing multitrack recording",
bucket=bucket_name,
prefix=prefix,
room_name="daily",
room_name=room_name,
recording_id=recording_id,
provided_keys=len(track_keys),
)
if not track_keys:
logger.warning("No audio track keys provided")
return
recorded_at = datetime.now(timezone.utc)
try:
effective_room_name = "/daily"
dir_name = prefix.rstrip("/").split("/")[-1]
ts_match = re.search(r"(\d{14})$", dir_name)
if ts_match:
ts = ts_match.group(1)
recorded_at = datetime.strptime(ts, "%Y%m%d%H%M%S").replace(
tzinfo=timezone.utc
)
else:
try:
recorded_at = parse_datetime_with_timezone(dir_name)
except Exception:
recorded_at = datetime.now(timezone.utc)
if track_keys:
folder = os.path.basename(os.path.dirname(track_keys[0]))
ts_match = re.search(r"(\d{14})$", folder)
if ts_match:
ts = ts_match.group(1)
recorded_at = datetime.strptime(ts, "%Y%m%d%H%M%S").replace(
tzinfo=timezone.utc
)
except Exception:
logger.warning("Could not parse recorded_at from prefix, using now()")
effective_room_name = "/daily"
recorded_at = datetime.now(timezone.utc)
logger.warning("Could not parse recorded_at from keys, using now()")
meeting = await meetings_controller.get_by_room_name(effective_room_name)
if meeting:
room = await rooms_controller.get_by_id(meeting.room_id)
else:
room = await rooms_controller.get_by_name(effective_room_name.lstrip("/"))
if not room:
raise Exception(f"Room not found: {effective_room_name}")
start_date = recorded_at
end_date = recorded_at
try:
dummy = await meetings_controller.create(
id=room.id + "-" + recorded_at.strftime("%Y%m%d%H%M%S"),
room_name=effective_room_name,
room_url=f"{effective_room_name}",
host_room_url=f"{effective_room_name}",
start_date=start_date,
end_date=end_date,
room=room,
)
meeting = dummy
except Exception as e:
logger.warning("Failed to create dummy meeting", error=str(e))
meeting = None
room_name = room_name.split("-", 1)[0]
room = await rooms_controller.get_by_name(room_name)
if not room:
raise Exception(f"Room not found: {room_name}")
recording = await recordings_controller.get_by_object_key(bucket_name, prefix)
meeting = await meetings_controller.create(
id=recording_id,
room_name=room_name,
room_url=room.name,
host_room_url=room.name,
start_date=recorded_at,
end_date=recorded_at,
room=room,
platform=room.platform,
)
recording = await recordings_controller.get_by_id(recording_id)
if not recording:
object_key_dir = os.path.dirname(track_keys[0]) if track_keys else ""
recording = await recordings_controller.create(
Recording(
id=recording_id,
bucket_name=bucket_name,
object_key=prefix,
object_key=object_key_dir,
recorded_at=recorded_at,
meeting_id=meeting.id if meeting else None,
meeting_id=meeting.id,
)
)
@@ -232,55 +230,14 @@ async def process_multitrack_recording(bucket_name: str, prefix: str):
user_id=room.user_id,
recording_id=recording.id,
share_mode="public",
meeting_id=meeting.id if meeting else None,
meeting_id=meeting.id,
room_id=room.id,
)
s3 = boto3.client(
"s3",
region_name=settings.RECORDING_STORAGE_AWS_REGION,
aws_access_key_id=settings.RECORDING_STORAGE_AWS_ACCESS_KEY_ID,
aws_secret_access_key=settings.RECORDING_STORAGE_AWS_SECRET_ACCESS_KEY,
)
paginator = s3.get_paginator("list_objects_v2")
raw_prefix = prefix.rstrip("/")
prefixes = [raw_prefix, raw_prefix + "/"]
all_keys_set: set[str] = set()
for pref in prefixes:
for page in paginator.paginate(Bucket=bucket_name, Prefix=pref):
contents = page.get("Contents", [])
for obj in contents:
key = obj["Key"]
if not key.startswith(pref):
continue
if pref.endswith("/"):
rel = key[len(pref) :]
if not rel or rel.endswith("/") or "/" in rel:
continue
else:
if key == pref:
all_keys_set.add(key)
continue
all_keys_set.add(key)
all_keys = sorted(all_keys_set)
logger.info(
"S3 list immediate files",
prefixes=prefixes,
total_keys=len(all_keys),
sample=all_keys[:5],
)
track_keys: list[str] = all_keys[:]
if not track_keys:
logger.info("No objects found under prefix", prefixes=prefixes)
raise Exception("No audio tracks found under prefix")
task_pipeline_multitrack_process.delay(
transcript_id=transcript.id, bucket_name=bucket_name, prefix=prefix
transcript_id=transcript.id,
bucket_name=bucket_name,
track_keys=track_keys,
)