feat: show trash for soft deleted transcripts and hard delete option (#942)

* feat: show trash for soft deleted transcripts and hard delete option

* fix: test fixtures

* docs: aws new permissions
This commit is contained in:
Juan Diego García
2026-03-31 13:15:52 -05:00
committed by GitHub
parent cc9c5cd4a5
commit ec8b49738e
20 changed files with 1351 additions and 94 deletions

View File

@@ -24,7 +24,7 @@ from reflector.db.utils import is_postgresql
from reflector.logger import logger
from reflector.processors.types import Word as ProcessorWord
from reflector.settings import settings
from reflector.storage import get_transcripts_storage
from reflector.storage import get_source_storage, get_transcripts_storage
from reflector.utils import generate_uuid4
from reflector.utils.webvtt import topics_to_webvtt
@@ -676,6 +676,126 @@ class TranscriptController:
)
await get_database().execute(query)
async def restore_by_id(
self,
transcript_id: str,
user_id: str | None = None,
) -> bool:
"""
Restore a soft-deleted transcript by clearing deleted_at.
Also restores the associated recording if present.
Returns True if the transcript was restored, False otherwise.
"""
transcript = await self.get_by_id(transcript_id)
if not transcript:
return False
if transcript.deleted_at is None:
return False
if user_id is not None and transcript.user_id != user_id:
return False
query = (
transcripts.update()
.where(transcripts.c.id == transcript_id)
.values(deleted_at=None)
)
await get_database().execute(query)
if transcript.recording_id:
try:
await recordings_controller.restore_by_id(transcript.recording_id)
except Exception as e:
logger.warning(
"Failed to restore recording",
exc_info=e,
recording_id=transcript.recording_id,
)
return True
async def hard_delete(self, transcript_id: str) -> None:
"""
Permanently delete a transcript, its recording, and all associated files.
Only deletes transcript-owned resources:
- Transcript row and recording row from DB (first, to make data inaccessible)
- Transcript audio in S3 storage
- Recording files in S3 (both object_key and track_keys, since a recording can have both)
- Local files (data_path directory)
Does NOT delete: meetings, consent records, rooms, or any shared entity.
Requires the transcript to be soft-deleted first (deleted_at must be set).
"""
transcript = await self.get_by_id(transcript_id)
if not transcript:
return
if transcript.deleted_at is None:
return
# Collect file references before deleting DB rows
recording = None
recording_storage = None
if transcript.recording_id:
recording = await recordings_controller.get_by_id(transcript.recording_id)
# Determine the correct storage backend for recording files.
# Recordings from different platforms (daily, whereby) live in
# platform-specific buckets with separate credentials.
if recording and recording.meeting_id:
from reflector.db.meetings import meetings_controller # noqa: PLC0415
meeting = await meetings_controller.get_by_id(recording.meeting_id)
if meeting:
recording_storage = get_source_storage(meeting.platform)
if recording_storage is None:
recording_storage = get_transcripts_storage()
# 1. Hard-delete DB rows first (makes data inaccessible immediately)
if recording:
await recordings_controller.hard_delete_by_id(recording.id)
await get_database().execute(
transcripts.delete().where(transcripts.c.id == transcript_id)
)
# 2. Delete transcript audio from S3 (always uses transcript storage)
transcript_storage = get_transcripts_storage()
if transcript.audio_location == "storage" and not transcript.audio_deleted:
try:
await transcript_storage.delete_file(transcript.storage_audio_path)
except Exception as e:
logger.warning(
"Failed to delete transcript audio from storage",
exc_info=e,
transcript_id=transcript_id,
path=transcript.storage_audio_path,
)
# 3. Delete recording files from S3 (both object_key and track_keys —
# a recording can have both, unlike consent cleanup which uses elif).
# Uses platform-specific storage resolved above.
if recording and recording.bucket_name and recording_storage:
keys_to_delete = []
if recording.track_keys:
keys_to_delete = recording.track_keys
if recording.object_key:
keys_to_delete.append(recording.object_key)
for key in keys_to_delete:
try:
await recording_storage.delete_file(
key, bucket=recording.bucket_name
)
except Exception as e:
logger.warning(
"Failed to delete recording file",
exc_info=e,
key=key,
bucket=recording.bucket_name,
)
# 4. Delete local files
transcript.unlink()
async def remove_by_recording_id(self, recording_id: str):
"""
Soft-delete a transcript by recording_id