Speaker-to-participant assignment relie on WhisperX word timings, but
incorrect word durations in the output can lead to inaccurate overlap
scoring and wrong user attribution. Add a custom heuristic to trim
overly long word durations before computing assignments.
When duration is not reported in the files metadata,
we directly infer the duration from the audio packets.
This prevents errors on webm files.
Very simple audio & video test files have been added
that cover relevant usecases to prevent regressions.
Introduce a new user assignment mechanism to for more friendly output
than the current (SPEAKER_0, SPEAKER_1, ...). Use the VAD metadata to
compare speech intervals with those returned by WhisperX. User with the
highest overlap score above a defined threshold is assigned to each segment.
This method allows for multi-speaker scenarios for a single account.
The tasks endpoint used non-timezone-aware date and time values and split
them into separate variables, which is unconventional. Refactor the
implementation to use timezone-aware datetime objects and align transcription
formatting with the user-declared timezone. Update the source of truth for
recording start time to FileInfo.started_at for improved precision. Adjust
the task signature in preparation for upcoming user assignment work, which
will require `started_at`, `ended_at`, and `metadata_filename`.
Updated taskV2 API contract to be closer to the target gateway contract.
GET operations return the same things as the webhook payload.
Also store the summary on S3 to be iso with transcript.
Add multitenancy support to Summary sub-app. The V1 routes / tasks
behave like before, with the default tenant being "meet".
V2 routes / tasks support being called frm any tenant, and don't have
meet related logic.
V2 tasks are created in separate queues to avoid mix / match,i
leo