diff --git a/.gitignore b/.gitignore index ffff5dfa..df8c0020 100644 --- a/.gitignore +++ b/.gitignore @@ -14,3 +14,4 @@ data/ www/REFACTOR.md www/reload-frontend server/test.sqlite +CLAUDE.local.md \ No newline at end of file diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 1049dc05..19fab25e 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -3,10 +3,10 @@ repos: - repo: local hooks: - - id: yarn-format - name: run yarn format + - id: format + name: run format language: system - entry: bash -c 'cd www && yarn format' + entry: bash -c 'cd www && npx prettier --write .' pass_filenames: false files: ^www/ @@ -23,8 +23,7 @@ repos: - id: ruff args: - --fix - - --select - - I,F401 + # Uses select rules from server/pyproject.toml files: ^server/ - id: ruff-format files: ^server/ diff --git a/compose.yml b/compose.yml index 261df1cd..53c9dc75 100644 --- a/compose.yml +++ b/compose.yml @@ -44,6 +44,7 @@ services: working_dir: /app volumes: - ./www:/app/ + - /app/node_modules env_file: - ./www/.env.local diff --git a/server/migrations/README b/server/migrations/README index 98e4f9c4..ae651c40 100644 --- a/server/migrations/README +++ b/server/migrations/README @@ -1 +1,3 @@ -Generic single-database configuration. \ No newline at end of file +Generic single-database configuration. + +Both data migrations and schema migrations must be in migrations. \ No newline at end of file diff --git a/server/migrations/versions/0bc0f3ff0111_add_webvtt_field_to_transcript.py b/server/migrations/versions/0bc0f3ff0111_add_webvtt_field_to_transcript.py new file mode 100644 index 00000000..c9df36a7 --- /dev/null +++ b/server/migrations/versions/0bc0f3ff0111_add_webvtt_field_to_transcript.py @@ -0,0 +1,27 @@ +"""add_webvtt_field_to_transcript + +Revision ID: 0bc0f3ff0111 +Revises: b7df9609542c +Create Date: 2025-08-05 19:36:41.740957 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +revision: str = '0bc0f3ff0111' +down_revision: Union[str, None] = 'b7df9609542c' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + op.add_column('transcript', + sa.Column('webvtt', sa.Text(), nullable=True) + ) + + +def downgrade() -> None: + op.drop_column('transcript', 'webvtt') diff --git a/server/migrations/versions/116b2f287eab_add_full_text_search.py b/server/migrations/versions/116b2f287eab_add_full_text_search.py new file mode 100644 index 00000000..78adbe33 --- /dev/null +++ b/server/migrations/versions/116b2f287eab_add_full_text_search.py @@ -0,0 +1,47 @@ +"""add_full_text_search + +Revision ID: 116b2f287eab +Revises: 0bc0f3ff0111 +Create Date: 2025-08-07 11:27:38.473517 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +revision: str = '116b2f287eab' +down_revision: Union[str, None] = '0bc0f3ff0111' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + if conn.dialect.name != 'postgresql': + return + + op.execute(""" + ALTER TABLE transcript ADD COLUMN search_vector_en tsvector + GENERATED ALWAYS AS ( + setweight(to_tsvector('english', coalesce(title, '')), 'A') || + setweight(to_tsvector('english', coalesce(webvtt, '')), 'B') + ) STORED + """) + + op.create_index( + 'idx_transcript_search_vector_en', + 'transcript', + ['search_vector_en'], + postgresql_using='gin' + ) + + +def downgrade() -> None: + conn = op.get_bind() + if conn.dialect.name != 'postgresql': + return + + op.drop_index('idx_transcript_search_vector_en', table_name='transcript') + op.drop_column('transcript', 'search_vector_en') diff --git a/server/migrations/versions/8120ebc75366_populate_webvtt_from_topics.py b/server/migrations/versions/8120ebc75366_populate_webvtt_from_topics.py new file mode 100644 index 00000000..391ded8e --- /dev/null +++ b/server/migrations/versions/8120ebc75366_populate_webvtt_from_topics.py @@ -0,0 +1,109 @@ +"""populate_webvtt_from_topics + +Revision ID: 8120ebc75366 +Revises: 116b2f287eab +Create Date: 2025-08-11 19:11:01.316947 + +""" +import json +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +from sqlalchemy import text + + +# revision identifiers, used by Alembic. +revision: str = '8120ebc75366' +down_revision: Union[str, None] = '116b2f287eab' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def topics_to_webvtt(topics): + """Convert topics list to WebVTT format string.""" + if not topics: + return None + + lines = ["WEBVTT", ""] + + for topic in topics: + start_time = format_timestamp(topic.get("start")) + end_time = format_timestamp(topic.get("end")) + text = topic.get("text", "").strip() + + if start_time and end_time and text: + lines.append(f"{start_time} --> {end_time}") + lines.append(text) + lines.append("") + + return "\n".join(lines).strip() + + +def format_timestamp(seconds): + """Format seconds to WebVTT timestamp format (HH:MM:SS.mmm).""" + if seconds is None: + return None + + hours = int(seconds // 3600) + minutes = int((seconds % 3600) // 60) + secs = seconds % 60 + + return f"{hours:02d}:{minutes:02d}:{secs:06.3f}" + + +def upgrade() -> None: + """Populate WebVTT field for all transcripts with topics.""" + + # Get connection + connection = op.get_bind() + + # Query all transcripts with topics + result = connection.execute( + text("SELECT id, topics FROM transcript WHERE topics IS NOT NULL") + ) + + rows = result.fetchall() + print(f"Found {len(rows)} transcripts with topics") + + updated_count = 0 + error_count = 0 + + for row in rows: + transcript_id = row[0] + topics_data = row[1] + + if not topics_data: + continue + + try: + # Parse JSON if it's a string + if isinstance(topics_data, str): + topics_data = json.loads(topics_data) + + # Convert topics to WebVTT format + webvtt_content = topics_to_webvtt(topics_data) + + if webvtt_content: + # Update the webvtt field + connection.execute( + text("UPDATE transcript SET webvtt = :webvtt WHERE id = :id"), + {"webvtt": webvtt_content, "id": transcript_id} + ) + updated_count += 1 + print(f"✓ Updated transcript {transcript_id}") + + except Exception as e: + error_count += 1 + print(f"✗ Error updating transcript {transcript_id}: {e}") + + print(f"\nMigration complete!") + print(f" Updated: {updated_count}") + print(f" Errors: {error_count}") + + +def downgrade() -> None: + """Clear WebVTT field for all transcripts.""" + op.execute( + text("UPDATE transcript SET webvtt = NULL") + ) diff --git a/server/pyproject.toml b/server/pyproject.toml index c93c29ae..a0b0b7af 100644 --- a/server/pyproject.toml +++ b/server/pyproject.toml @@ -40,6 +40,7 @@ dependencies = [ "llama-index>=0.12.52", "llama-index-llms-openai-like>=0.4.0", "pytest-env>=1.1.5", + "webvtt-py>=0.5.0", ] [dependency-groups] @@ -92,5 +93,12 @@ addopts = "-ra -q --disable-pytest-warnings --cov --cov-report html -v" testpaths = ["tests"] asyncio_mode = "auto" +[tool.ruff.lint] +select = [ + "I", # isort - import sorting + "F401", # unused imports + "PLC0415", # import-outside-top-level - detect inline imports +] + [tool.ruff.lint.per-file-ignores] "reflector/processors/summary/summary_builder.py" = ["E501"] diff --git a/server/reflector/db/search.py b/server/reflector/db/search.py new file mode 100644 index 00000000..64b3b3ef --- /dev/null +++ b/server/reflector/db/search.py @@ -0,0 +1,233 @@ +"""Search functionality for transcripts and other entities.""" + +import logging +from datetime import datetime +from io import StringIO +from typing import Annotated, Any, Dict + +import sqlalchemy +import webvtt +from pydantic import BaseModel, Field, constr, field_serializer + +from reflector.db import database +from reflector.db.transcripts import SourceKind, transcripts +from reflector.db.utils import is_postgresql + +logger = logging.getLogger(__name__) + +DEFAULT_SEARCH_LIMIT = 20 +SNIPPET_CONTEXT_LENGTH = 50 # Characters before/after match to include +DEFAULT_SNIPPET_MAX_LENGTH = 150 +DEFAULT_MAX_SNIPPETS = 3 + +SearchQueryBase = constr(min_length=1, strip_whitespace=True) +SearchLimitBase = Annotated[int, Field(ge=1, le=100)] +SearchOffsetBase = Annotated[int, Field(ge=0)] +SearchTotalBase = Annotated[int, Field(ge=0)] + +SearchQuery = Annotated[SearchQueryBase, Field(description="Search query text")] +SearchLimit = Annotated[SearchLimitBase, Field(description="Results per page")] +SearchOffset = Annotated[ + SearchOffsetBase, Field(description="Number of results to skip") +] +SearchTotal = Annotated[ + SearchTotalBase, Field(description="Total number of search results") +] + + +class SearchParameters(BaseModel): + """Validated search parameters for full-text search.""" + + query_text: SearchQuery + limit: SearchLimit = DEFAULT_SEARCH_LIMIT + offset: SearchOffset = 0 + user_id: str | None = None + room_id: str | None = None + + +class SearchResultDB(BaseModel): + """Intermediate model for validating raw database results.""" + + id: str = Field(..., min_length=1) + created_at: datetime + status: str = Field(..., min_length=1) + duration: float | None = Field(None, ge=0) + user_id: str | None = None + title: str | None = None + source_kind: SourceKind + room_id: str | None = None + rank: float = Field(..., ge=0, le=1) + + +class SearchResult(BaseModel): + """Public search result model with computed fields.""" + + id: str = Field(..., min_length=1) + title: str | None = None + user_id: str | None = None + room_id: str | None = None + created_at: datetime + status: str = Field(..., min_length=1) + rank: float = Field(..., ge=0, le=1) + duration: float | None = Field(..., ge=0, description="Duration in seconds") + search_snippets: list[str] = Field( + description="Text snippets around search matches" + ) + + @field_serializer("created_at", when_used="json") + def serialize_datetime(self, dt: datetime) -> str: + if dt.tzinfo is None: + return dt.isoformat() + "Z" + return dt.isoformat() + + +class SearchController: + """Controller for search operations across different entities.""" + + @staticmethod + def _extract_webvtt_text(webvtt_content: str) -> str: + """Extract plain text from WebVTT content using webvtt library.""" + if not webvtt_content: + return "" + + try: + buffer = StringIO(webvtt_content) + vtt = webvtt.read_buffer(buffer) + return " ".join(caption.text for caption in vtt if caption.text) + except (webvtt.errors.MalformedFileError, UnicodeDecodeError, ValueError) as e: + logger.warning(f"Failed to parse WebVTT content: {e}", exc_info=e) + return "" + except AttributeError as e: + logger.warning(f"WebVTT parsing error - unexpected format: {e}", exc_info=e) + return "" + + @staticmethod + def _generate_snippets( + text: str, + q: SearchQuery, + max_length: int = DEFAULT_SNIPPET_MAX_LENGTH, + max_snippets: int = DEFAULT_MAX_SNIPPETS, + ) -> list[str]: + """Generate multiple snippets around all occurrences of search term.""" + if not text or not q: + return [] + + snippets = [] + lower_text = text.lower() + search_lower = q.lower() + + last_snippet_end = 0 + start_pos = 0 + + while len(snippets) < max_snippets: + match_pos = lower_text.find(search_lower, start_pos) + + if match_pos == -1: + if not snippets and search_lower.split(): + first_word = search_lower.split()[0] + match_pos = lower_text.find(first_word, start_pos) + if match_pos == -1: + break + else: + break + + snippet_start = max(0, match_pos - SNIPPET_CONTEXT_LENGTH) + snippet_end = min( + len(text), match_pos + max_length - SNIPPET_CONTEXT_LENGTH + ) + + if snippet_start < last_snippet_end: + start_pos = match_pos + len(search_lower) + continue + + snippet = text[snippet_start:snippet_end] + + if snippet_start > 0: + snippet = "..." + snippet + if snippet_end < len(text): + snippet = snippet + "..." + + snippet = snippet.strip() + + if snippet: + snippets.append(snippet) + last_snippet_end = snippet_end + + start_pos = match_pos + len(search_lower) + if start_pos >= len(text): + break + + return snippets + + @classmethod + async def search_transcripts( + cls, params: SearchParameters + ) -> tuple[list[SearchResult], int]: + """ + Full-text search for transcripts using PostgreSQL tsvector. + Returns (results, total_count). + """ + + if not is_postgresql(): + logger.warning( + "Full-text search requires PostgreSQL. Returning empty results." + ) + return [], 0 + + search_query = sqlalchemy.func.websearch_to_tsquery( + "english", params.query_text + ) + + base_query = sqlalchemy.select( + [ + transcripts.c.id, + transcripts.c.title, + transcripts.c.created_at, + transcripts.c.duration, + transcripts.c.status, + transcripts.c.user_id, + transcripts.c.room_id, + transcripts.c.source_kind, + transcripts.c.webvtt, + sqlalchemy.func.ts_rank( + transcripts.c.search_vector_en, + search_query, + 32, # normalization flag: rank/(rank+1) for 0-1 range + ).label("rank"), + ] + ).where(transcripts.c.search_vector_en.op("@@")(search_query)) + + if params.user_id: + base_query = base_query.where(transcripts.c.user_id == params.user_id) + if params.room_id: + base_query = base_query.where(transcripts.c.room_id == params.room_id) + + query = ( + base_query.order_by(sqlalchemy.desc(sqlalchemy.text("rank"))) + .limit(params.limit) + .offset(params.offset) + ) + rs = await database.fetch_all(query) + + count_query = sqlalchemy.select([sqlalchemy.func.count()]).select_from( + base_query.alias("search_results") + ) + total = await database.fetch_val(count_query) + + def _process_result(r) -> SearchResult: + r_dict: Dict[str, Any] = dict(r) + webvtt: str | None = r_dict.pop("webvtt", None) + db_result = SearchResultDB.model_validate(r_dict) + + snippets = [] + if webvtt: + plain_text = cls._extract_webvtt_text(webvtt) + snippets = cls._generate_snippets(plain_text, params.query_text) + + return SearchResult(**db_result.model_dump(), search_snippets=snippets) + + results = [_process_result(r) for r in rs] + return results, total + + +search_controller = SearchController() diff --git a/server/reflector/db/transcripts.py b/server/reflector/db/transcripts.py index d72f0bed..94b233db 100644 --- a/server/reflector/db/transcripts.py +++ b/server/reflector/db/transcripts.py @@ -1,9 +1,10 @@ import enum import json +import logging import os import shutil from contextlib import asynccontextmanager -from datetime import datetime, timezone +from datetime import datetime, timedelta, timezone from pathlib import Path from typing import Any, Literal @@ -11,13 +12,19 @@ import sqlalchemy from fastapi import HTTPException from pydantic import BaseModel, ConfigDict, Field, field_serializer from sqlalchemy import Enum +from sqlalchemy.dialects.postgresql import TSVECTOR from sqlalchemy.sql import false, or_ from reflector.db import database, metadata +from reflector.db.rooms import rooms +from reflector.db.utils import is_postgresql from reflector.processors.types import Word as ProcessorWord from reflector.settings import settings from reflector.storage import get_transcripts_storage from reflector.utils import generate_uuid4 +from reflector.utils.webvtt import topics_to_webvtt + +logger = logging.getLogger(__name__) class SourceKind(enum.StrEnum): @@ -76,6 +83,7 @@ transcripts = sqlalchemy.Table( # same field could've been in recording/meeting, and it's maybe even ok to dupe it at need sqlalchemy.Column("audio_deleted", sqlalchemy.Boolean), sqlalchemy.Column("room_id", sqlalchemy.String), + sqlalchemy.Column("webvtt", sqlalchemy.Text), sqlalchemy.Index("idx_transcript_recording_id", "recording_id"), sqlalchemy.Index("idx_transcript_user_id", "user_id"), sqlalchemy.Index("idx_transcript_created_at", "created_at"), @@ -83,6 +91,29 @@ transcripts = sqlalchemy.Table( sqlalchemy.Index("idx_transcript_room_id", "room_id"), ) +# Add PostgreSQL-specific full-text search column +# This matches the migration in migrations/versions/116b2f287eab_add_full_text_search.py +if is_postgresql(): + transcripts.append_column( + sqlalchemy.Column( + "search_vector_en", + TSVECTOR, + sqlalchemy.Computed( + "setweight(to_tsvector('english', coalesce(title, '')), 'A') || " + "setweight(to_tsvector('english', coalesce(webvtt, '')), 'B')", + persisted=True, + ), + ) + ) + # Add GIN index for the search vector + transcripts.append_constraint( + sqlalchemy.Index( + "idx_transcript_search_vector_en", + "search_vector_en", + postgresql_using="gin", + ) + ) + def generate_transcript_name() -> str: now = datetime.now(timezone.utc) @@ -147,14 +178,18 @@ class TranscriptParticipant(BaseModel): class Transcript(BaseModel): + """Full transcript model with all fields.""" + id: str = Field(default_factory=generate_uuid4) user_id: str | None = None name: str = Field(default_factory=generate_transcript_name) status: str = "idle" - locked: bool = False duration: float = 0 created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) title: str | None = None + source_kind: SourceKind + room_id: str | None = None + locked: bool = False short_summary: str | None = None long_summary: str | None = None topics: list[TranscriptTopic] = [] @@ -168,9 +203,8 @@ class Transcript(BaseModel): meeting_id: str | None = None recording_id: str | None = None zulip_message_id: int | None = None - source_kind: SourceKind audio_deleted: bool | None = None - room_id: str | None = None + webvtt: str | None = None @field_serializer("created_at", when_used="json") def serialize_datetime(self, dt: datetime) -> str: @@ -271,10 +305,12 @@ class Transcript(BaseModel): # we need to create an url to be used for diarization # we can't use the audio_mp3_filename because it's not accessible # from the diarization processor - from datetime import timedelta - from reflector.app import app - from reflector.views.transcripts import create_access_token + # TODO don't import app in db + from reflector.app import app # noqa: PLC0415 + + # TODO a util + don''t import views in db + from reflector.views.transcripts import create_access_token # noqa: PLC0415 path = app.url_path_for( "transcript_get_audio_mp3", @@ -335,7 +371,6 @@ class TranscriptController: - `room_id`: filter transcripts by room ID - `search_term`: filter transcripts by search term """ - from reflector.db.rooms import rooms query = transcripts.select().join( rooms, transcripts.c.room_id == rooms.c.id, isouter=True @@ -502,10 +537,17 @@ class TranscriptController: await database.execute(query) return transcript - async def update(self, transcript: Transcript, values: dict, mutate=True): + # TODO investigate why mutate= is used. it's used in one place currently, maybe because of ORM field updates. + # using mutate=True is discouraged + async def update( + self, transcript: Transcript, values: dict, mutate=False + ) -> Transcript: """ - Update a transcript fields with key/values in values + Update a transcript fields with key/values in values. + Returns a copy of the transcript with updated values. """ + values = TranscriptController._handle_topics_update(values) + query = ( transcripts.update() .where(transcripts.c.id == transcript.id) @@ -516,6 +558,28 @@ class TranscriptController: for key, value in values.items(): setattr(transcript, key, value) + updated_transcript = transcript.model_copy(update=values) + return updated_transcript + + @staticmethod + def _handle_topics_update(values: dict) -> dict: + """Auto-update WebVTT when topics are updated.""" + + if values.get("webvtt") is not None: + logger.warn("trying to update read-only webvtt column") + pass + + topics_data = values.get("topics") + if topics_data is None: + return values + + return { + **values, + "webvtt": topics_to_webvtt( + [TranscriptTopic(**topic_dict) for topic_dict in topics_data] + ), + } + async def remove_by_id( self, transcript_id: str, @@ -558,11 +622,7 @@ class TranscriptController: Append an event to a transcript """ resp = transcript.add_event(event=event, data=data) - await self.update( - transcript, - {"events": transcript.events_dump()}, - mutate=False, - ) + await self.update(transcript, {"events": transcript.events_dump()}) return resp async def upsert_topic( @@ -574,11 +634,7 @@ class TranscriptController: Upsert topics to a transcript """ transcript.upsert_topic(topic) - await self.update( - transcript, - {"topics": transcript.topics_dump()}, - mutate=False, - ) + await self.update(transcript, {"topics": transcript.topics_dump()}) async def move_mp3_to_storage(self, transcript: Transcript): """ @@ -603,7 +659,8 @@ class TranscriptController: ) # indicate on the transcript that the audio is now on storage - await self.update(transcript, {"audio_location": "storage"}) + # mutates transcript argument + await self.update(transcript, {"audio_location": "storage"}, mutate=True) # unlink the local file transcript.audio_mp3_filename.unlink(missing_ok=True) @@ -627,11 +684,7 @@ class TranscriptController: Add/update a participant to a transcript """ result = transcript.upsert_participant(participant) - await self.update( - transcript, - {"participants": transcript.participants_dump()}, - mutate=False, - ) + await self.update(transcript, {"participants": transcript.participants_dump()}) return result async def delete_participant( @@ -643,11 +696,7 @@ class TranscriptController: Delete a participant from a transcript """ transcript.delete_participant(participant_id) - await self.update( - transcript, - {"participants": transcript.participants_dump()}, - mutate=False, - ) + await self.update(transcript, {"participants": transcript.participants_dump()}) transcripts_controller = TranscriptController() diff --git a/server/reflector/db/utils.py b/server/reflector/db/utils.py new file mode 100644 index 00000000..ce2a29ed --- /dev/null +++ b/server/reflector/db/utils.py @@ -0,0 +1,7 @@ +"""Database utility functions.""" + +from reflector.db import database + + +def is_postgresql() -> bool: + return database.url.scheme and database.url.scheme.startswith('postgresql') \ No newline at end of file diff --git a/server/reflector/pipelines/main_live_pipeline.py b/server/reflector/pipelines/main_live_pipeline.py index 0d3af426..6c22c9be 100644 --- a/server/reflector/pipelines/main_live_pipeline.py +++ b/server/reflector/pipelines/main_live_pipeline.py @@ -14,12 +14,15 @@ It is directly linked to our data model. import asyncio import functools from contextlib import asynccontextmanager +from typing import Generic +import av import boto3 from celery import chord, current_task, group, shared_task from pydantic import BaseModel from structlog import BoundLogger as Logger +from reflector.db import database from reflector.db.meetings import meeting_consent_controller, meetings_controller from reflector.db.recordings import recordings_controller from reflector.db.rooms import rooms_controller @@ -35,7 +38,7 @@ from reflector.db.transcripts import ( transcripts_controller, ) from reflector.logger import logger -from reflector.pipelines.runner import PipelineRunner +from reflector.pipelines.runner import PipelineMessage, PipelineRunner from reflector.processors import ( AudioChunkerProcessor, AudioDiarizationAutoProcessor, @@ -69,8 +72,6 @@ def asynctask(f): @functools.wraps(f) def wrapper(*args, **kwargs): async def run_with_db(): - from reflector.db import database - await database.connect() try: return await f(*args, **kwargs) @@ -144,7 +145,7 @@ class StrValue(BaseModel): value: str -class PipelineMainBase(PipelineRunner): +class PipelineMainBase(PipelineRunner[PipelineMessage], Generic[PipelineMessage]): transcript_id: str ws_room_id: str | None = None ws_manager: WebsocketManager | None = None @@ -164,7 +165,11 @@ class PipelineMainBase(PipelineRunner): raise Exception("Transcript not found") return result - def get_transcript_topics(self, transcript: Transcript) -> list[TranscriptTopic]: + @staticmethod + def wrap_transcript_topics( + topics: list[TranscriptTopic], + ) -> list[TitleSummaryWithIdProcessorType]: + # transformation to a pipe-supported format return [ TitleSummaryWithIdProcessorType( id=topic.id, @@ -174,7 +179,7 @@ class PipelineMainBase(PipelineRunner): duration=topic.duration, transcript=TranscriptProcessorType(words=topic.words), ) - for topic in transcript.topics + for topic in topics ] @asynccontextmanager @@ -380,7 +385,7 @@ class PipelineMainLive(PipelineMainBase): pipeline_post(transcript_id=self.transcript_id) -class PipelineMainDiarization(PipelineMainBase): +class PipelineMainDiarization(PipelineMainBase[AudioDiarizationInput]): """ Diarize the audio and update topics """ @@ -404,11 +409,10 @@ class PipelineMainDiarization(PipelineMainBase): pipeline.logger.info("Audio is local, skipping diarization") return - topics = self.get_transcript_topics(transcript) audio_url = await transcript.get_audio_url() audio_diarization_input = AudioDiarizationInput( audio_url=audio_url, - topics=topics, + topics=self.wrap_transcript_topics(transcript.topics), ) # as tempting to use pipeline.push, prefer to use the runner @@ -421,7 +425,7 @@ class PipelineMainDiarization(PipelineMainBase): return pipeline -class PipelineMainFromTopics(PipelineMainBase): +class PipelineMainFromTopics(PipelineMainBase[TitleSummaryWithIdProcessorType]): """ Pseudo class for generating a pipeline from topics """ @@ -443,7 +447,7 @@ class PipelineMainFromTopics(PipelineMainBase): pipeline.logger.info(f"{self.__class__.__name__} pipeline created") # push topics - topics = self.get_transcript_topics(transcript) + topics = PipelineMainBase.wrap_transcript_topics(transcript.topics) for topic in topics: await self.push(topic) @@ -524,8 +528,6 @@ async def pipeline_convert_to_mp3(transcript: Transcript, logger: Logger): # Convert to mp3 mp3_filename = transcript.audio_mp3_filename - import av - with av.open(wav_filename.as_posix()) as in_container: in_stream = in_container.streams.audio[0] with av.open(mp3_filename.as_posix(), "w") as out_container: @@ -604,7 +606,7 @@ async def cleanup_consent(transcript: Transcript, logger: Logger): meeting.id ) except Exception as e: - logger.error(f"Failed to get fetch consent: {e}") + logger.error(f"Failed to get fetch consent: {e}", exc_info=e) consent_denied = True if not consent_denied: @@ -627,7 +629,7 @@ async def cleanup_consent(transcript: Transcript, logger: Logger): f"Deleted original Whereby recording: {recording.bucket_name}/{recording.object_key}" ) except Exception as e: - logger.error(f"Failed to delete Whereby recording: {e}") + logger.error(f"Failed to delete Whereby recording: {e}", exc_info=e) # non-transactional, files marked for deletion not actually deleted is possible await transcripts_controller.update(transcript, {"audio_deleted": True}) @@ -640,7 +642,7 @@ async def cleanup_consent(transcript: Transcript, logger: Logger): f"Deleted processed audio from storage: {transcript.storage_audio_path}" ) except Exception as e: - logger.error(f"Failed to delete processed audio: {e}") + logger.error(f"Failed to delete processed audio: {e}", exc_info=e) # 3. Delete local audio files try: @@ -649,7 +651,7 @@ async def cleanup_consent(transcript: Transcript, logger: Logger): if hasattr(transcript, "audio_wav_filename") and transcript.audio_wav_filename: transcript.audio_wav_filename.unlink(missing_ok=True) except Exception as e: - logger.error(f"Failed to delete local audio files: {e}") + logger.error(f"Failed to delete local audio files: {e}", exc_info=e) logger.info("Consent cleanup done") @@ -794,8 +796,6 @@ def pipeline_post(*, transcript_id: str): @get_transcript async def pipeline_process(transcript: Transcript, logger: Logger): - import av - try: if transcript.audio_location == "storage": await transcripts_controller.download_mp3_from_storage(transcript) diff --git a/server/reflector/pipelines/runner.py b/server/reflector/pipelines/runner.py index 38f844e9..5cb40002 100644 --- a/server/reflector/pipelines/runner.py +++ b/server/reflector/pipelines/runner.py @@ -16,14 +16,17 @@ During its lifecycle, it will emit the following status: """ import asyncio +from typing import Generic, TypeVar from pydantic import BaseModel, ConfigDict from reflector.logger import logger from reflector.processors import Pipeline +PipelineMessage = TypeVar("PipelineMessage") -class PipelineRunner(BaseModel): + +class PipelineRunner(BaseModel, Generic[PipelineMessage]): model_config = ConfigDict(arbitrary_types_allowed=True) status: str = "idle" @@ -67,7 +70,7 @@ class PipelineRunner(BaseModel): coro = self.run() asyncio.run(coro) - async def push(self, data): + async def push(self, data: PipelineMessage): """ Push data to the pipeline """ @@ -92,7 +95,11 @@ class PipelineRunner(BaseModel): pass async def _add_cmd( - self, cmd: str, data, max_retries: int = 3, retry_time_limit: int = 3 + self, + cmd: str, + data: PipelineMessage, + max_retries: int = 3, + retry_time_limit: int = 3, ): """ Enqueue a command to be executed in the runner. @@ -143,7 +150,10 @@ class PipelineRunner(BaseModel): cmd, data = await self._q_cmd.get() func = getattr(self, f"cmd_{cmd.lower()}") if func: - await func(data) + if cmd.upper() == "FLUSH": + await func() + else: + await func(data) else: raise Exception(f"Unknown command {cmd}") except Exception: @@ -152,13 +162,13 @@ class PipelineRunner(BaseModel): self._ev_done.set() raise - async def cmd_push(self, data): + async def cmd_push(self, data: PipelineMessage): if self._is_first_push: await self._set_status("push") self._is_first_push = False await self.pipeline.push(data) - async def cmd_flush(self, data): + async def cmd_flush(self): await self._set_status("flush") await self.pipeline.flush() await self._set_status("ended") diff --git a/server/reflector/processors/types.py b/server/reflector/processors/types.py index 11e63b07..90c9c846 100644 --- a/server/reflector/processors/types.py +++ b/server/reflector/processors/types.py @@ -2,9 +2,10 @@ import io import re import tempfile from pathlib import Path +from typing import Annotated from profanityfilter import ProfanityFilter -from pydantic import BaseModel, PrivateAttr +from pydantic import BaseModel, Field, PrivateAttr from reflector.redis_cache import redis_cache @@ -48,20 +49,70 @@ class AudioFile(BaseModel): self._path.unlink() +# non-negative seconds with float part +Seconds = Annotated[float, Field(ge=0.0, description="Time in seconds with float part")] + + class Word(BaseModel): text: str - start: float - end: float + start: Seconds + end: Seconds speaker: int = 0 class TranscriptSegment(BaseModel): text: str - start: float - end: float + start: Seconds + end: Seconds speaker: int = 0 +def words_to_segments(words: list[Word]) -> list[TranscriptSegment]: + # from a list of word, create a list of segments + # join the word that are less than 2 seconds apart + # but separate if the speaker changes, or if the punctuation is a . , ; : ? ! + segments = [] + current_segment = None + MAX_SEGMENT_LENGTH = 120 + + for word in words: + if current_segment is None: + current_segment = TranscriptSegment( + text=word.text, + start=word.start, + end=word.end, + speaker=word.speaker, + ) + continue + + # If the word is attach to another speaker, push the current segment + # and start a new one + if word.speaker != current_segment.speaker: + segments.append(current_segment) + current_segment = TranscriptSegment( + text=word.text, + start=word.start, + end=word.end, + speaker=word.speaker, + ) + continue + + # if the word is the end of a sentence, and we have enough content, + # add the word to the current segment and push it + current_segment.text += word.text + current_segment.end = word.end + + have_punc = PUNC_RE.search(word.text) + if have_punc and (len(current_segment.text) > MAX_SEGMENT_LENGTH): + segments.append(current_segment) + current_segment = None + + if current_segment: + segments.append(current_segment) + + return segments + + class Transcript(BaseModel): translation: str | None = None words: list[Word] = None @@ -117,49 +168,7 @@ class Transcript(BaseModel): return Transcript(text=self.text, translation=self.translation, words=words) def as_segments(self) -> list[TranscriptSegment]: - # from a list of word, create a list of segments - # join the word that are less than 2 seconds apart - # but separate if the speaker changes, or if the punctuation is a . , ; : ? ! - segments = [] - current_segment = None - MAX_SEGMENT_LENGTH = 120 - - for word in self.words: - if current_segment is None: - current_segment = TranscriptSegment( - text=word.text, - start=word.start, - end=word.end, - speaker=word.speaker, - ) - continue - - # If the word is attach to another speaker, push the current segment - # and start a new one - if word.speaker != current_segment.speaker: - segments.append(current_segment) - current_segment = TranscriptSegment( - text=word.text, - start=word.start, - end=word.end, - speaker=word.speaker, - ) - continue - - # if the word is the end of a sentence, and we have enough content, - # add the word to the current segment and push it - current_segment.text += word.text - current_segment.end = word.end - - have_punc = PUNC_RE.search(word.text) - if have_punc and (len(current_segment.text) > MAX_SEGMENT_LENGTH): - segments.append(current_segment) - current_segment = None - - if current_segment: - segments.append(current_segment) - - return segments + return words_to_segments(self.words) class TitleSummary(BaseModel): diff --git a/server/reflector/utils/webvtt.py b/server/reflector/utils/webvtt.py new file mode 100644 index 00000000..efdbe948 --- /dev/null +++ b/server/reflector/utils/webvtt.py @@ -0,0 +1,63 @@ +"""WebVTT utilities for generating subtitle files from transcript data.""" + +from typing import TYPE_CHECKING, Annotated + +import webvtt + +from reflector.processors.types import Seconds, Word, words_to_segments + +if TYPE_CHECKING: + from reflector.db.transcripts import TranscriptTopic + +VttTimestamp = Annotated[str, "vtt_timestamp"] +WebVTTStr = Annotated[str, "webvtt_str"] + + +def _seconds_to_timestamp(seconds: Seconds) -> VttTimestamp: + # lib doesn't do that + hours = int(seconds // 3600) + minutes = int((seconds % 3600) // 60) + secs = int(seconds % 60) + milliseconds = int((seconds % 1) * 1000) + + return f"{hours:02d}:{minutes:02d}:{secs:02d}.{milliseconds:03d}" + + +def words_to_webvtt(words: list[Word]) -> WebVTTStr: + """Convert words to WebVTT using existing segmentation logic.""" + vtt = webvtt.WebVTT() + if not words: + return vtt.content + + segments = words_to_segments(words) + + for segment in segments: + text = segment.text.strip() + # lib doesn't do that + text = f"{text}" + + caption = webvtt.Caption( + start=_seconds_to_timestamp(segment.start), + end=_seconds_to_timestamp(segment.end), + text=text, + ) + vtt.captions.append(caption) + + return vtt.content + + +def topics_to_webvtt(topics: list["TranscriptTopic"]) -> WebVTTStr: + if not topics: + return webvtt.WebVTT().content + + all_words: list[Word] = [] + for topic in topics: + all_words.extend(topic.words) + + # assert it's in sequence + for i in range(len(all_words) - 1): + assert ( + all_words[i].start <= all_words[i + 1].start + ), f"Words are not in sequence: {all_words[i].text} and {all_words[i + 1].text} are not consecutive: {all_words[i].start} > {all_words[i + 1].start}" + + return words_to_webvtt(all_words) diff --git a/server/reflector/views/transcripts.py b/server/reflector/views/transcripts.py index cedb4a79..2ef8003f 100644 --- a/server/reflector/views/transcripts.py +++ b/server/reflector/views/transcripts.py @@ -1,15 +1,29 @@ from datetime import datetime, timedelta, timezone from typing import Annotated, Literal, Optional -from fastapi import APIRouter, Depends, HTTPException +from fastapi import APIRouter, Depends, HTTPException, Query from fastapi_pagination import Page from fastapi_pagination.ext.databases import paginate from jose import jwt from pydantic import BaseModel, Field, field_serializer import reflector.auth as auth +from reflector.db import database from reflector.db.meetings import meetings_controller from reflector.db.rooms import rooms_controller +from reflector.db.search import ( + DEFAULT_SEARCH_LIMIT, + SearchLimit, + SearchLimitBase, + SearchOffset, + SearchOffsetBase, + SearchParameters, + SearchQuery, + SearchQueryBase, + SearchResult, + SearchTotal, + search_controller, +) from reflector.db.transcripts import ( SourceKind, TranscriptParticipant, @@ -100,6 +114,21 @@ class DeletionStatus(BaseModel): status: str +SearchQueryParam = Annotated[SearchQueryBase, Query(description="Search query text")] +SearchLimitParam = Annotated[SearchLimitBase, Query(description="Results per page")] +SearchOffsetParam = Annotated[ + SearchOffsetBase, Query(description="Number of results to skip") +] + + +class SearchResponse(BaseModel): + results: list[SearchResult] + total: SearchTotal + query: SearchQuery + limit: SearchLimit + offset: SearchOffset + + @router.get("/transcripts", response_model=Page[GetTranscriptMinimal]) async def transcripts_list( user: Annotated[Optional[auth.UserInfo], Depends(auth.current_user_optional)], @@ -107,8 +136,6 @@ async def transcripts_list( room_id: str | None = None, search_term: str | None = None, ): - from reflector.db import database - if not user and not settings.PUBLIC_MODE: raise HTTPException(status_code=401, detail="Not authenticated") @@ -127,6 +154,39 @@ async def transcripts_list( ) +@router.get("/transcripts/search", response_model=SearchResponse) +async def transcripts_search( + q: SearchQueryParam, + limit: SearchLimitParam = DEFAULT_SEARCH_LIMIT, + offset: SearchOffsetParam = 0, + room_id: Optional[str] = None, + user: Annotated[ + Optional[auth.UserInfo], Depends(auth.current_user_optional) + ] = None, +): + """ + Full-text search across transcript titles and content. + """ + if not user and not settings.PUBLIC_MODE: + raise HTTPException(status_code=401, detail="Not authenticated") + + user_id = user["sub"] if user else None + + search_params = SearchParameters( + query_text=q, limit=limit, offset=offset, user_id=user_id, room_id=room_id + ) + + results, total = await search_controller.search_transcripts(search_params) + + return SearchResponse( + results=results, + total=total, + query=search_params.query_text, + limit=search_params.limit, + offset=search_params.offset, + ) + + @router.post("/transcripts", response_model=GetTranscript) async def transcripts_create( info: CreateTranscript, @@ -273,8 +333,8 @@ async def transcript_update( if not transcript: raise HTTPException(status_code=404, detail="Transcript not found") values = info.dict(exclude_unset=True) - await transcripts_controller.update(transcript, values) - return transcript + updated_transcript = await transcripts_controller.update(transcript, values) + return updated_transcript @router.delete("/transcripts/{transcript_id}", response_model=DeletionStatus) diff --git a/server/tests/test_search.py b/server/tests/test_search.py new file mode 100644 index 00000000..c671a678 --- /dev/null +++ b/server/tests/test_search.py @@ -0,0 +1,163 @@ +"""Tests for full-text search functionality.""" + +import json +from datetime import datetime + +import pytest +from pydantic import ValidationError + +from reflector.db import database +from reflector.db.search import SearchParameters, search_controller +from reflector.db.transcripts import transcripts +from reflector.db.utils import is_postgresql + + +@pytest.mark.asyncio +async def test_search_postgresql_only(): + await database.connect() + + try: + params = SearchParameters(query_text="any query here") + results, total = await search_controller.search_transcripts(params) + assert results == [] + assert total == 0 + + try: + SearchParameters(query_text="") + assert False, "Should have raised validation error" + except ValidationError: + pass # Expected + + # Test that whitespace query raises validation error + try: + SearchParameters(query_text=" ") + assert False, "Should have raised validation error" + except ValidationError: + pass # Expected + + finally: + await database.disconnect() + + +@pytest.mark.asyncio +async def test_search_input_validation(): + await database.connect() + + try: + try: + SearchParameters(query_text="") + assert False, "Should have raised ValidationError" + except ValidationError: + pass # Expected + + # Test that whitespace query raises validation error + try: + SearchParameters(query_text=" \t\n ") + assert False, "Should have raised ValidationError" + except ValidationError: + pass # Expected + finally: + await database.disconnect() + + +@pytest.mark.asyncio +async def test_postgresql_search_with_data(): + """Test full-text search with actual data in PostgreSQL. + + Example how to run: DATABASE_URL=postgresql://reflector:reflector@localhost:5432/reflector_test uv run pytest tests/test_search.py::test_postgresql_search_with_data -v -p no:env + """ + # Skip if not PostgreSQL + if not is_postgresql(): + pytest.skip("Test requires PostgreSQL. Set DATABASE_URL=postgresql://...") + + await database.connect() + + # collision is improbable + test_id = "test-search-e2e-7f3a9b2c" + + try: + await database.execute(transcripts.delete().where(transcripts.c.id == test_id)) + + test_data = { + "id": test_id, + "name": "Test Search Transcript", + "title": "Engineering Planning Meeting Q4 2024", + "status": "completed", + "locked": False, + "duration": 1800.0, + "created_at": datetime.now(), + "short_summary": "Team discussed search implementation", + "long_summary": "The engineering team met to plan the search feature", + "topics": json.dumps([]), + "events": json.dumps([]), + "participants": json.dumps([]), + "source_language": "en", + "target_language": "en", + "reviewed": False, + "audio_location": "local", + "share_mode": "private", + "source_kind": "room", + "webvtt": """WEBVTT + +00:00:00.000 --> 00:00:10.000 +Welcome to our engineering planning meeting for Q4 2024. + +00:00:10.000 --> 00:00:20.000 +Today we'll discuss the implementation of full-text search. + +00:00:20.000 --> 00:00:30.000 +The search feature should support complex queries with ranking. + +00:00:30.000 --> 00:00:40.000 +We need to implement PostgreSQL tsvector for better performance.""", + } + + await database.execute(transcripts.insert().values(**test_data)) + + # Test 1: Search for a word in title + params = SearchParameters(query_text="planning") + results, total = await search_controller.search_transcripts(params) + assert total >= 1 + found = any(r.id == test_id for r in results) + assert found, "Should find test transcript by title word" + + # Test 2: Search for a word in webvtt content + params = SearchParameters(query_text="tsvector") + results, total = await search_controller.search_transcripts(params) + assert total >= 1 + found = any(r.id == test_id for r in results) + assert found, "Should find test transcript by webvtt content" + + # Test 3: Search with multiple words + params = SearchParameters(query_text="engineering planning") + results, total = await search_controller.search_transcripts(params) + assert total >= 1 + found = any(r.id == test_id for r in results) + assert found, "Should find test transcript by multiple words" + + # Test 4: Verify SearchResult structure + test_result = next((r for r in results if r.id == test_id), None) + if test_result: + assert test_result.title == "Engineering Planning Meeting Q4 2024" + assert test_result.status == "completed" + assert test_result.duration == 1800.0 + assert test_result.source_kind == "room" + assert 0 <= test_result.rank <= 1, "Rank should be normalized to 0-1" + + # Test 5: Search with OR operator + params = SearchParameters(query_text="tsvector OR nosuchword") + results, total = await search_controller.search_transcripts(params) + assert total >= 1 + found = any(r.id == test_id for r in results) + assert found, "Should find test transcript with OR query" + + # Test 6: Quoted phrase search + params = SearchParameters(query_text='"full-text search"') + results, total = await search_controller.search_transcripts(params) + assert total >= 1 + found = any(r.id == test_id for r in results) + assert found, "Should find test transcript by exact phrase" + + finally: + await database.execute(transcripts.delete().where(transcripts.c.id == test_id)) + await database.disconnect() diff --git a/server/tests/test_search_snippets.py b/server/tests/test_search_snippets.py new file mode 100644 index 00000000..33597de1 --- /dev/null +++ b/server/tests/test_search_snippets.py @@ -0,0 +1,198 @@ +"""Unit tests for search snippet generation.""" + +from reflector.db.search import SearchController + + +class TestExtractWebVTT: + """Test WebVTT text extraction.""" + + def test_extract_webvtt_with_speakers(self): + """Test extraction removes speaker tags and timestamps.""" + webvtt = """WEBVTT + +00:00:00.000 --> 00:00:10.000 +Hello world, this is a test. + +00:00:10.000 --> 00:00:20.000 +Indeed it is a test of WebVTT parsing. +""" + result = SearchController._extract_webvtt_text(webvtt) + assert "Hello world, this is a test" in result + assert "Indeed it is a test" in result + assert "" not in result + + def test_extract_empty_webvtt(self): + """Test empty WebVTT returns empty string.""" + assert SearchController._extract_webvtt_text("") == "" + assert SearchController._extract_webvtt_text(None) == "" + + def test_extract_malformed_webvtt(self): + """Test malformed WebVTT returns empty string.""" + result = SearchController._extract_webvtt_text("Not a valid WebVTT") + assert result == "" + + +class TestGenerateSnippets: + """Test snippet generation from plain text.""" + + def test_multiple_matches(self): + """Test finding multiple occurrences of search term in long text.""" + # Create text with Python mentions far apart to get separate snippets + separator = " This is filler text. " * 20 # ~400 chars of padding + text = ( + "Python is great for machine learning." + + separator + + "Many companies use Python for data science." + + separator + + "Python has excellent libraries for analysis." + + separator + + "The Python community is very supportive." + ) + + snippets = SearchController._generate_snippets(text, "Python") + # With enough separation, we should get multiple snippets + assert len(snippets) >= 2 # At least 2 distinct snippets + + # Each snippet should contain "Python" + for snippet in snippets: + assert "python" in snippet.lower() + + def test_single_match(self): + """Test single occurrence returns one snippet.""" + text = "This document discusses artificial intelligence and its applications." + snippets = SearchController._generate_snippets(text, "artificial intelligence") + + assert len(snippets) == 1 + assert "artificial intelligence" in snippets[0].lower() + + def test_no_matches(self): + """Test no matches returns empty list.""" + text = "This is some random text without the search term." + snippets = SearchController._generate_snippets(text, "machine learning") + + assert snippets == [] + + def test_case_insensitive_search(self): + """Test search is case insensitive.""" + # Add enough text between matches to get separate snippets + text = ( + "MACHINE LEARNING is important for modern applications. " + + "It requires lots of data and computational resources. " * 5 # Padding + + "Machine Learning rocks and transforms industries. " + + "Deep learning is a subset of it. " * 5 # More padding + + "Finally, machine learning will shape our future." + ) + + snippets = SearchController._generate_snippets(text, "machine learning") + + # Should find at least 2 (might be 3 if text is long enough) + assert len(snippets) >= 2 + for snippet in snippets: + assert "machine learning" in snippet.lower() + + def test_partial_match_fallback(self): + """Test fallback to first word when exact phrase not found.""" + text = "We use machine intelligence for processing." + snippets = SearchController._generate_snippets(text, "machine learning") + + # Should fall back to finding "machine" + assert len(snippets) == 1 + assert "machine" in snippets[0].lower() + + def test_snippet_ellipsis(self): + """Test ellipsis added for truncated snippets.""" + # Long text where match is in the middle + text = "a " * 100 + "TARGET_WORD special content here" + " b" * 100 + snippets = SearchController._generate_snippets(text, "TARGET_WORD") + + assert len(snippets) == 1 + assert "..." in snippets[0] # Should have ellipsis + assert "TARGET_WORD" in snippets[0] + + def test_overlapping_snippets_deduplicated(self): + """Test overlapping matches don't create duplicate snippets.""" + text = "test test test word" * 10 # Repeated pattern + snippets = SearchController._generate_snippets(text, "test") + + # Should get unique snippets, not duplicates + assert len(snippets) <= 3 + assert len(snippets) == len(set(snippets)) # All unique + + def test_empty_inputs(self): + """Test empty text or search term returns empty list.""" + assert SearchController._generate_snippets("", "search") == [] + assert SearchController._generate_snippets("text", "") == [] + assert SearchController._generate_snippets("", "") == [] + + def test_max_snippets_limit(self): + """Test respects max_snippets parameter.""" + # Create text with well-separated occurrences + separator = " filler " * 50 # Ensure snippets don't overlap + text = ("Python is amazing" + separator) * 10 # 10 occurrences + + # Test with different limits + snippets_1 = SearchController._generate_snippets(text, "Python", max_snippets=1) + assert len(snippets_1) == 1 + + snippets_2 = SearchController._generate_snippets(text, "Python", max_snippets=2) + assert len(snippets_2) == 2 + + snippets_5 = SearchController._generate_snippets(text, "Python", max_snippets=5) + assert len(snippets_5) == 5 # Should get exactly 5 with enough separation + + def test_snippet_length(self): + """Test snippet length is reasonable.""" + text = "word " * 200 # Long text + snippets = SearchController._generate_snippets(text, "word") + + for snippet in snippets: + # Default max_length is 150 + some context + assert len(snippet) <= 200 # Some buffer for ellipsis + + +class TestFullPipeline: + """Test the complete WebVTT to snippets pipeline.""" + + def test_webvtt_to_snippets_integration(self): + """Test full pipeline from WebVTT to search snippets.""" + # Create WebVTT with well-separated content for multiple snippets + webvtt = ( + """WEBVTT + +00:00:00.000 --> 00:00:10.000 +Let's discuss machine learning applications in modern technology. + +00:00:10.000 --> 00:00:20.000 +""" + + "Various industries are adopting new technologies. " * 10 + + """ + +00:00:20.000 --> 00:00:30.000 +Machine learning is revolutionizing healthcare and diagnostics. + +00:00:30.000 --> 00:00:40.000 +""" + + "Financial markets show interesting patterns. " * 10 + + """ + +00:00:40.000 --> 00:00:50.000 +Machine learning in education provides personalized experiences. +""" + ) + + # Extract and generate snippets + plain_text = SearchController._extract_webvtt_text(webvtt) + snippets = SearchController._generate_snippets(plain_text, "machine learning") + + # Should find at least 2 snippets (text might still be close together) + assert len(snippets) >= 1 # At minimum one snippet containing matches + assert len(snippets) <= 3 # At most 3 by default + + # No WebVTT artifacts in snippets + for snippet in snippets: + assert "machine learning" in snippet.lower() + assert "" not in snippet diff --git a/server/tests/test_transcripts_process.py b/server/tests/test_transcripts_process.py index e4973acb..15bcbe0b 100644 --- a/server/tests/test_transcripts_process.py +++ b/server/tests/test_transcripts_process.py @@ -1,4 +1,5 @@ import asyncio +import time import pytest from httpx import AsyncClient @@ -39,14 +40,18 @@ async def test_transcript_process( assert response.status_code == 200 assert response.json()["status"] == "ok" - # wait for processing to finish - while True: + # wait for processing to finish (max 10 minutes) + timeout_seconds = 600 # 10 minutes + start_time = time.monotonic() + while (time.monotonic() - start_time) < timeout_seconds: # fetch the transcript and check if it is ended resp = await ac.get(f"/transcripts/{tid}") assert resp.status_code == 200 if resp.json()["status"] in ("ended", "error"): break await asyncio.sleep(1) + else: + pytest.fail(f"Initial processing timed out after {timeout_seconds} seconds") # restart the processing response = await ac.post( @@ -55,14 +60,18 @@ async def test_transcript_process( assert response.status_code == 200 assert response.json()["status"] == "ok" - # wait for processing to finish - while True: + # wait for processing to finish (max 10 minutes) + timeout_seconds = 600 # 10 minutes + start_time = time.monotonic() + while (time.monotonic() - start_time) < timeout_seconds: # fetch the transcript and check if it is ended resp = await ac.get(f"/transcripts/{tid}") assert resp.status_code == 200 if resp.json()["status"] in ("ended", "error"): break await asyncio.sleep(1) + else: + pytest.fail(f"Restart processing timed out after {timeout_seconds} seconds") # check the transcript is ended transcript = resp.json() diff --git a/server/tests/test_transcripts_rtc_ws.py b/server/tests/test_transcripts_rtc_ws.py index f9dfe7f9..9c652aef 100644 --- a/server/tests/test_transcripts_rtc_ws.py +++ b/server/tests/test_transcripts_rtc_ws.py @@ -6,6 +6,7 @@ import asyncio import json import threading +import time from pathlib import Path import pytest @@ -21,14 +22,31 @@ class ThreadedUvicorn: async def start(self): self.thread.start() - while not self.server.started: + timeout_seconds = 600 # 10 minutes + start_time = time.monotonic() + while ( + not self.server.started + and (time.monotonic() - start_time) < timeout_seconds + ): await asyncio.sleep(0.1) + if not self.server.started: + raise TimeoutError( + f"Server failed to start after {timeout_seconds} seconds" + ) def stop(self): if self.thread.is_alive(): self.server.should_exit = True - while self.thread.is_alive(): - continue + timeout_seconds = 600 # 10 minutes + start_time = time.time() + while ( + self.thread.is_alive() and (time.time() - start_time) < timeout_seconds + ): + time.sleep(0.1) + if self.thread.is_alive(): + raise TimeoutError( + f"Thread failed to stop after {timeout_seconds} seconds" + ) @pytest.fixture @@ -92,12 +110,16 @@ async def test_transcript_rtc_and_websocket( async with aconnect_ws(f"{base_url}/transcripts/{tid}/events") as ws: print("Test websocket: CONNECTED") try: - while True: + timeout_seconds = 600 # 10 minutes + start_time = time.monotonic() + while (time.monotonic() - start_time) < timeout_seconds: msg = await ws.receive_json() print(f"Test websocket: JSON {msg}") if msg is None: break events.append(msg) + else: + print(f"Test websocket: TIMEOUT after {timeout_seconds} seconds") except Exception as e: print(f"Test websocket: EXCEPTION {e}") finally: @@ -145,9 +167,12 @@ async def test_transcript_rtc_and_websocket( if resp.json()["status"] in ("ended", "error"): break await asyncio.sleep(1) + timeout -= 1 + if timeout < 0: + raise TimeoutError("Timeout while waiting for transcript to be ended") if resp.json()["status"] != "ended": - raise TimeoutError("Timeout while waiting for transcript to be ended") + raise TimeoutError("Transcript processing failed") # stop websocket task websocket_task.cancel() @@ -253,12 +278,16 @@ async def test_transcript_rtc_and_websocket_and_fr( async with aconnect_ws(f"{base_url}/transcripts/{tid}/events") as ws: print("Test websocket: CONNECTED") try: - while True: + timeout_seconds = 600 # 10 minutes + start_time = time.monotonic() + while (time.monotonic() - start_time) < timeout_seconds: msg = await ws.receive_json() print(f"Test websocket: JSON {msg}") if msg is None: break events.append(msg) + else: + print(f"Test websocket: TIMEOUT after {timeout_seconds} seconds") except Exception as e: print(f"Test websocket: EXCEPTION {e}") finally: @@ -310,9 +339,12 @@ async def test_transcript_rtc_and_websocket_and_fr( if resp.json()["status"] == "ended": break await asyncio.sleep(1) + timeout -= 1 + if timeout < 0: + raise TimeoutError("Timeout while waiting for transcript to be ended") if resp.json()["status"] != "ended": - raise TimeoutError("Timeout while waiting for transcript to be ended") + raise TimeoutError("Transcript processing failed") await asyncio.sleep(2) diff --git a/server/tests/test_transcripts_upload.py b/server/tests/test_transcripts_upload.py index 1bc82386..2b281590 100644 --- a/server/tests/test_transcripts_upload.py +++ b/server/tests/test_transcripts_upload.py @@ -1,4 +1,5 @@ import asyncio +import time import pytest from httpx import AsyncClient @@ -39,14 +40,18 @@ async def test_transcript_upload_file( assert response.status_code == 200 assert response.json()["status"] == "ok" - # wait the processing to finish - while True: + # wait the processing to finish (max 10 minutes) + timeout_seconds = 600 # 10 minutes + start_time = time.monotonic() + while (time.monotonic() - start_time) < timeout_seconds: # fetch the transcript and check if it is ended resp = await ac.get(f"/transcripts/{tid}") assert resp.status_code == 200 if resp.json()["status"] in ("ended", "error"): break await asyncio.sleep(1) + else: + pytest.fail(f"Processing timed out after {timeout_seconds} seconds") # check the transcript is ended transcript = resp.json() diff --git a/server/tests/test_webvtt.py b/server/tests/test_webvtt.py new file mode 100644 index 00000000..404dce2f --- /dev/null +++ b/server/tests/test_webvtt.py @@ -0,0 +1,151 @@ +"""Tests for WebVTT utilities.""" + +import pytest + +from reflector.processors.types import Transcript, Word, words_to_segments +from reflector.utils.webvtt import topics_to_webvtt, words_to_webvtt + + +class TestWordsToWebVTT: + """Test words_to_webvtt function with TDD approach.""" + + def test_empty_words_returns_empty_webvtt(self): + """Should return empty WebVTT structure for empty words list.""" + + result = words_to_webvtt([]) + + assert "WEBVTT" in result + assert result.strip() == "WEBVTT" + + def test_single_word_creates_single_caption(self): + """Should create one caption for a single word.""" + + words = [Word(text="Hello", start=0.0, end=1.0, speaker=0)] + result = words_to_webvtt(words) + + assert "WEBVTT" in result + assert "00:00:00.000 --> 00:00:01.000" in result + assert "Hello" in result + assert "" in result + + def test_multiple_words_same_speaker_groups_properly(self): + """Should group consecutive words from same speaker.""" + + words = [ + Word(text="Hello", start=0.0, end=0.5, speaker=0), + Word(text=" world", start=0.5, end=1.0, speaker=0), + ] + result = words_to_webvtt(words) + + assert "WEBVTT" in result + assert "Hello world" in result + assert "" in result + + def test_speaker_change_creates_new_caption(self): + """Should create new caption when speaker changes.""" + + words = [ + Word(text="Hello", start=0.0, end=0.5, speaker=0), + Word(text="Hi", start=0.6, end=1.0, speaker=1), + ] + result = words_to_webvtt(words) + + lines = result.split("\n") + assert "" in result + assert "" in result + assert "Hello" in result + assert "Hi" in result + + def test_punctuation_creates_segment_boundary(self): + """Should respect punctuation boundaries from segmentation logic.""" + + words = [ + Word(text="Hello.", start=0.0, end=0.5, speaker=0), + Word(text=" How", start=0.6, end=1.0, speaker=0), + Word(text=" are", start=1.0, end=1.3, speaker=0), + Word(text=" you?", start=1.3, end=1.8, speaker=0), + ] + result = words_to_webvtt(words) + + assert "WEBVTT" in result + assert "" in result + + +class TestTopicsToWebVTT: + """Test topics_to_webvtt function.""" + + def test_empty_topics_returns_empty_webvtt(self): + """Should handle empty topics list.""" + + result = topics_to_webvtt([]) + assert "WEBVTT" in result + assert result.strip() == "WEBVTT" + + def test_extracts_words_from_topics(self): + """Should extract all words from topics in sequence.""" + + class MockTopic: + def __init__(self, words): + self.words = words + + topics = [ + MockTopic( + [ + Word(text="First", start=0.0, end=0.5, speaker=1), + Word(text="Second", start=1.0, end=1.5, speaker=0), + ] + ) + ] + + result = topics_to_webvtt(topics) + + assert "WEBVTT" in result + first_pos = result.find("First") + second_pos = result.find("Second") + assert first_pos < second_pos + + def test_non_sequential_topics_raises_assertion(self): + """Should raise assertion error when words are not in chronological sequence.""" + + class MockTopic: + def __init__(self, words): + self.words = words + + topics = [ + MockTopic( + [ + Word(text="Second", start=1.0, end=1.5, speaker=0), + Word(text="First", start=0.0, end=0.5, speaker=1), + ] + ) + ] + + with pytest.raises(AssertionError) as exc_info: + topics_to_webvtt(topics) + + assert "Words are not in sequence" in str(exc_info.value) + assert "Second and First" in str(exc_info.value) + + +class TestTranscriptWordsToSegments: + """Test static words_to_segments method (TDD for making it static).""" + + def test_static_method_exists(self): + """Should have static words_to_segments method.""" + words = [Word(text="Hello", start=0.0, end=1.0, speaker=0)] + segments = words_to_segments(words) + + assert isinstance(segments, list) + assert len(segments) == 1 + assert segments[0].text == "Hello" + assert segments[0].speaker == 0 + + def test_backward_compatibility(self): + """Should maintain backward compatibility with instance method.""" + words = [Word(text="Hello", start=0.0, end=1.0, speaker=0)] + transcript = Transcript(words=words) + + segments = transcript.as_segments() + assert isinstance(segments, list) + assert len(segments) == 1 + assert segments[0].text == "Hello" diff --git a/server/tests/test_webvtt_implementation.py b/server/tests/test_webvtt_implementation.py new file mode 100644 index 00000000..4327e733 --- /dev/null +++ b/server/tests/test_webvtt_implementation.py @@ -0,0 +1,34 @@ +"""Test WebVTT auto-update functionality and edge cases.""" + +import pytest + +from reflector.db.transcripts import ( + TranscriptController, +) + + +@pytest.mark.asyncio +class TestWebVTTAutoUpdateImplementation: + async def test_handle_topics_update_handles_dict_conversion(self): + """ + Verify that _handle_topics_update() properly converts dict data to TranscriptTopic objects. + """ + values = { + "topics": [ + { + "id": "topic1", + "title": "Test", + "summary": "Test", + "timestamp": 0.0, + "words": [ + {"text": "Hello", "start": 0.0, "end": 1.0, "speaker": 0} + ], + } + ] + } + + updated_values = TranscriptController._handle_topics_update(values) + + assert "webvtt" in updated_values + assert updated_values["webvtt"] is not None + assert "WEBVTT" in updated_values["webvtt"] diff --git a/server/tests/test_webvtt_integration.py b/server/tests/test_webvtt_integration.py new file mode 100644 index 00000000..f2aafaf3 --- /dev/null +++ b/server/tests/test_webvtt_integration.py @@ -0,0 +1,234 @@ +"""Integration tests for WebVTT auto-update functionality in Transcript model.""" + +import pytest + +from reflector.db import database +from reflector.db.transcripts import ( + SourceKind, + TranscriptController, + TranscriptTopic, + transcripts, +) +from reflector.processors.types import Word + + +@pytest.mark.asyncio +class TestWebVTTAutoUpdate: + """Test that WebVTT field auto-updates when Transcript is created or modified.""" + + async def test_webvtt_not_updated_on_transcript_creation_without_topics(self): + """WebVTT should be None when creating transcript without topics.""" + controller = TranscriptController() + + transcript = await controller.add( + name="Test Transcript", + source_kind=SourceKind.FILE, + ) + + try: + result = await database.fetch_one( + transcripts.select().where(transcripts.c.id == transcript.id) + ) + + assert result is not None + assert result["webvtt"] is None + finally: + await controller.remove_by_id(transcript.id) + + async def test_webvtt_updated_on_upsert_topic(self): + """WebVTT should update when upserting topics via upsert_topic method.""" + controller = TranscriptController() + + transcript = await controller.add( + name="Test Transcript", + source_kind=SourceKind.FILE, + ) + + try: + topic = TranscriptTopic( + id="topic1", + title="Test Topic", + summary="Test summary", + timestamp=0.0, + words=[ + Word(text="Hello", start=0.0, end=0.5, speaker=0), + Word(text=" world", start=0.5, end=1.0, speaker=0), + ], + ) + + await controller.upsert_topic(transcript, topic) + + result = await database.fetch_one( + transcripts.select().where(transcripts.c.id == transcript.id) + ) + + assert result is not None + webvtt = result["webvtt"] + + assert webvtt is not None + assert "WEBVTT" in webvtt + assert "Hello world" in webvtt + assert "" in webvtt + + finally: + await controller.remove_by_id(transcript.id) + + async def test_webvtt_updated_on_direct_topics_update(self): + """WebVTT should update when updating topics field directly.""" + controller = TranscriptController() + + transcript = await controller.add( + name="Test Transcript", + source_kind=SourceKind.FILE, + ) + + try: + topics_data = [ + { + "id": "topic1", + "title": "First Topic", + "summary": "First sentence test", + "timestamp": 0.0, + "words": [ + {"text": "First", "start": 0.0, "end": 0.5, "speaker": 0}, + {"text": " sentence", "start": 0.5, "end": 1.0, "speaker": 0}, + ], + } + ] + + await controller.update(transcript, {"topics": topics_data}) + + # Fetch from DB + result = await database.fetch_one( + transcripts.select().where(transcripts.c.id == transcript.id) + ) + + assert result is not None + webvtt = result["webvtt"] + + assert webvtt is not None + assert "WEBVTT" in webvtt + assert "First sentence" in webvtt + + finally: + await controller.remove_by_id(transcript.id) + + async def test_webvtt_updated_manually_with_handle_topics_update(self): + """Test that _handle_topics_update works when called manually.""" + controller = TranscriptController() + + transcript = await controller.add( + name="Test Transcript", + source_kind=SourceKind.FILE, + ) + + try: + topic1 = TranscriptTopic( + id="topic1", + title="Topic 1", + summary="Manual test", + timestamp=0.0, + words=[ + Word(text="Manual", start=0.0, end=0.5, speaker=0), + Word(text=" test", start=0.5, end=1.0, speaker=0), + ], + ) + + transcript.upsert_topic(topic1) + + values = {"topics": transcript.topics_dump()} + + await controller.update(transcript, values) + + # Fetch from DB + result = await database.fetch_one( + transcripts.select().where(transcripts.c.id == transcript.id) + ) + + assert result is not None + webvtt = result["webvtt"] + + assert webvtt is not None + assert "WEBVTT" in webvtt + assert "Manual test" in webvtt + assert "" in webvtt + + finally: + await controller.remove_by_id(transcript.id) + + async def test_webvtt_update_with_non_sequential_topics_fails(self): + """Test that non-sequential topics raise assertion error.""" + controller = TranscriptController() + + transcript = await controller.add( + name="Test Transcript", + source_kind=SourceKind.FILE, + ) + + try: + topic1 = TranscriptTopic( + id="topic1", + title="Bad Topic", + summary="Bad order test", + timestamp=1.0, + words=[ + Word(text="Second", start=2.0, end=2.5, speaker=0), + Word(text="First", start=1.0, end=1.5, speaker=0), + ], + ) + + transcript.upsert_topic(topic1) + values = {"topics": transcript.topics_dump()} + + with pytest.raises(AssertionError) as exc_info: + TranscriptController._handle_topics_update(values) + + assert "Words are not in sequence" in str(exc_info.value) + + finally: + await controller.remove_by_id(transcript.id) + + async def test_multiple_speakers_in_webvtt(self): + """Test WebVTT generation with multiple speakers.""" + controller = TranscriptController() + + transcript = await controller.add( + name="Test Transcript", + source_kind=SourceKind.FILE, + ) + + try: + topic = TranscriptTopic( + id="topic1", + title="Multi Speaker", + summary="Multi speaker test", + timestamp=0.0, + words=[ + Word(text="Hello", start=0.0, end=0.5, speaker=0), + Word(text="Hi", start=1.0, end=1.5, speaker=1), + Word(text="Goodbye", start=2.0, end=2.5, speaker=0), + ], + ) + + transcript.upsert_topic(topic) + values = {"topics": transcript.topics_dump()} + + await controller.update(transcript, values) + + # Fetch from DB + result = await database.fetch_one( + transcripts.select().where(transcripts.c.id == transcript.id) + ) + + assert result is not None + webvtt = result["webvtt"] + + assert webvtt is not None + assert "" in webvtt + assert "" in webvtt + assert "Hello" in webvtt + assert "Hi" in webvtt + assert "Goodbye" in webvtt + + finally: + await controller.remove_by_id(transcript.id) diff --git 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$Page_GetTranscriptMinimal_ = { title: "Items", }, total: { - type: "integer", - minimum: 0, + anyOf: [ + { + type: "integer", + minimum: 0, + }, + { + type: "null", + }, + ], title: "Total", }, page: { @@ -800,7 +805,7 @@ export const $Page_GetTranscriptMinimal_ = { }, }, type: "object", - required: ["items", "total", "page", "size"], + required: ["items", "page", "size"], title: "Page[GetTranscriptMinimal]", } as const; @@ -814,8 +819,15 @@ export const $Page_Room_ = { title: "Items", }, total: { - type: "integer", - minimum: 0, + anyOf: [ + { + type: "integer", + minimum: 0, + }, + { + type: "null", + }, + ], title: "Total", }, page: { @@ -856,7 +868,7 @@ export const $Page_Room_ = { }, }, type: "object", - required: ["items", "total", "page", "size"], + required: ["items", "page", "size"], title: "Page[Room]", } as const; @@ -973,6 +985,136 @@ export const $RtcOffer = { title: "RtcOffer", } as const; +export const $SearchResponse = { + properties: { + results: { + items: { + $ref: "#/components/schemas/SearchResult", + }, + type: "array", + title: "Results", + }, + total: { + type: "integer", + minimum: 0, + title: "Total", + description: "Total number of search results", + }, + query: { + type: "string", + minLength: 1, + title: "Query", + description: "Search query text", + }, + limit: { + type: "integer", + maximum: 100, + minimum: 1, + title: "Limit", + description: "Results per page", + }, + offset: { + type: "integer", + minimum: 0, + title: "Offset", + description: "Number of results to skip", + }, + }, + type: "object", + required: ["results", "total", "query", "limit", "offset"], + title: "SearchResponse", +} as const; + +export const $SearchResult = { + properties: { + id: { + type: "string", + minLength: 1, + title: "Id", + }, + title: { + anyOf: [ + { + type: "string", + }, + { + type: "null", + }, + ], + title: "Title", + }, + user_id: { + anyOf: [ + { + type: "string", + }, + { + type: "null", + }, + ], + title: "User Id", + }, + room_id: { + anyOf: [ + { + type: "string", + }, + { + type: "null", + }, + ], + title: "Room Id", + }, + created_at: { + type: "string", + title: "Created At", + }, + status: { + type: "string", + minLength: 1, + title: "Status", + }, + rank: { + type: "number", + maximum: 1, + minimum: 0, + title: "Rank", + }, + duration: { + anyOf: [ + { + type: "number", + minimum: 0, + }, + { + type: "null", + }, + ], + title: "Duration", + description: "Duration in seconds", + }, + search_snippets: { + items: { + type: "string", + }, + type: "array", + title: "Search Snippets", + description: "Text snippets around search matches", + }, + }, + type: "object", + required: [ + "id", + "created_at", + "status", + "rank", + "duration", + "search_snippets", + ], + title: "SearchResult", + description: "Public search result model with computed fields.", +} as const; + export const $SourceKind = { type: "string", enum: ["room", "live", "file"], @@ -1397,6 +1539,7 @@ export const $WherebyWebhookEvent = { title: "Type", }, data: { + additionalProperties: true, type: "object", title: "Data", }, @@ -1414,11 +1557,15 @@ export const $Word = { }, start: { type: "number", + minimum: 0, title: "Start", + description: "Time in seconds with float part", }, end: { type: "number", + minimum: 0, title: "End", + description: "Time in seconds with float part", }, speaker: { type: "integer", diff --git a/www/app/api/services.gen.ts b/www/app/api/services.gen.ts index 68d606c1..8bfbe299 100644 --- a/www/app/api/services.gen.ts +++ b/www/app/api/services.gen.ts @@ -20,6 +20,8 @@ import type { V1TranscriptsListResponse, V1TranscriptsCreateData, V1TranscriptsCreateResponse, + V1TranscriptsSearchData, + V1TranscriptsSearchResponse, V1TranscriptGetData, V1TranscriptGetResponse, V1TranscriptUpdateData, @@ -276,6 +278,35 @@ export class DefaultService { }); } + /** + * Transcripts Search + * Full-text search across transcript titles and content. + * @param data The data for the request. + * @param data.q Search query text + * @param data.limit Results per page + * @param data.offset Number of results to skip + * @param data.roomId + * @returns SearchResponse Successful Response + * @throws ApiError + */ + public v1TranscriptsSearch( + data: V1TranscriptsSearchData, + ): CancelablePromise { + return this.httpRequest.request({ + method: "GET", + url: "/v1/transcripts/search", + query: { + q: data.q, + limit: data.limit, + offset: data.offset, + room_id: data.roomId, + }, + errors: { + 422: "Validation Error", + }, + }); + } + /** * Transcript Get * @param data The data for the request. diff --git a/www/app/api/types.gen.ts b/www/app/api/types.gen.ts index 9cb00cc1..421fa414 100644 --- a/www/app/api/types.gen.ts +++ b/www/app/api/types.gen.ts @@ -141,7 +141,7 @@ export type MeetingConsentRequest = { export type Page_GetTranscriptMinimal_ = { items: Array; - total: number; + total?: number | null; page: number | null; size: number | null; pages?: number | null; @@ -149,7 +149,7 @@ export type Page_GetTranscriptMinimal_ = { export type Page_Room_ = { items: Array; - total: number; + total?: number | null; page: number | null; size: number | null; pages?: number | null; @@ -181,6 +181,47 @@ export type RtcOffer = { type: string; }; +export type SearchResponse = { + results: Array; + /** + * Total number of search results + */ + total: number; + /** + * Search query text + */ + query: string; + /** + * Results per page + */ + limit: number; + /** + * Number of results to skip + */ + offset: number; +}; + +/** + * Public search result model with computed fields. + */ +export type SearchResult = { + id: string; + title?: string | null; + user_id?: string | null; + room_id?: string | null; + created_at: string; + status: string; + rank: number; + /** + * Duration in seconds + */ + duration: number | null; + /** + * Text snippets around search matches + */ + search_snippets: Array; +}; + export type SourceKind = "room" | "live" | "file"; export type SpeakerAssignment = { @@ -272,7 +313,13 @@ export type WherebyWebhookEvent = { export type Word = { text: string; + /** + * Time in seconds with float part + */ start: number; + /** + * Time in seconds with float part + */ end: number; speaker?: number; }; @@ -346,6 +393,24 @@ export type V1TranscriptsCreateData = { export type V1TranscriptsCreateResponse = GetTranscript; +export type V1TranscriptsSearchData = { + /** + * Results per page + */ + limit?: number; + /** + * Number of results to skip + */ + offset?: number; + /** + * Search query text + */ + q: string; + roomId?: string | null; +}; + +export type V1TranscriptsSearchResponse = SearchResponse; + export type V1TranscriptGetData = { transcriptId: string; }; @@ -633,6 +698,21 @@ export type $OpenApiTs = { }; }; }; + "/v1/transcripts/search": { + get: { + req: V1TranscriptsSearchData; + res: { + /** + * Successful Response + */ + 200: SearchResponse; + /** + * Validation Error + */ + 422: HTTPValidationError; + }; + }; + }; "/v1/transcripts/{transcript_id}": { get: { req: V1TranscriptGetData; diff --git a/www/app/lib/time.ts b/www/app/lib/time.ts index 7283475c..4610f034 100644 --- a/www/app/lib/time.ts +++ b/www/app/lib/time.ts @@ -23,8 +23,8 @@ export const formatTimeDifference = (seconds: number): string => { hours > 0 ? `${hours < 10 ? "\u00A0" : ""}${hours}h ago` : minutes > 0 - ? `${minutes < 10 ? "\u00A0" : ""}${minutes}m ago` - : `<1m ago`; + ? `${minutes < 10 ? "\u00A0" : ""}${minutes}m ago` + : `<1m ago`; return timeString; };