601 lines
23 KiB
Python
601 lines
23 KiB
Python
import json
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import sqlite3
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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import uuid
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from .models import SentenceBoundary, SentenceBoundaryDocument
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from .store import normalize_video_hash
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def utc_now() -> str:
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return datetime.now(timezone.utc).isoformat()
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class VideoRepository:
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def __init__(self, database_path: Path):
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self.database_path = Path(database_path)
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self.database_path.parent.mkdir(parents=True, exist_ok=True)
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self._initialize()
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def _connect(self) -> sqlite3.Connection:
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connection = sqlite3.connect(self.database_path, timeout=30)
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connection.row_factory = sqlite3.Row
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connection.execute("PRAGMA foreign_keys = ON")
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connection.execute("PRAGMA journal_mode = WAL")
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return connection
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def _initialize(self) -> None:
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with self._connect() as connection:
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connection.executescript(
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"""
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CREATE TABLE IF NOT EXISTS videos (
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video_hash TEXT PRIMARY KEY,
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title TEXT NOT NULL,
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filename TEXT NOT NULL,
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stored_filename TEXT NOT NULL,
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content_type TEXT NOT NULL,
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size_bytes INTEGER NOT NULL,
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duration_ms INTEGER,
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language TEXT,
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status TEXT NOT NULL,
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error_message TEXT,
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algorithm_version TEXT,
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transcription TEXT,
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remote_url TEXT,
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created_at TEXT NOT NULL,
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updated_at TEXT NOT NULL
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);
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CREATE TABLE IF NOT EXISTS sentences (
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video_hash TEXT NOT NULL,
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sentence_index INTEGER NOT NULL,
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start_ms INTEGER NOT NULL,
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end_ms INTEGER NOT NULL,
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text TEXT,
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language TEXT,
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reference_speech_duration_ms INTEGER,
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PRIMARY KEY (video_hash, sentence_index),
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FOREIGN KEY (video_hash) REFERENCES videos(video_hash) ON DELETE CASCADE
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);
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CREATE TABLE IF NOT EXISTS attempts (
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attempt_id TEXT PRIMARY KEY,
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video_hash TEXT NOT NULL,
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sentence_index INTEGER NOT NULL,
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result_json TEXT NOT NULL,
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audio_filename TEXT,
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created_at TEXT NOT NULL,
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FOREIGN KEY (video_hash) REFERENCES videos(video_hash) ON DELETE CASCADE
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);
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CREATE TABLE IF NOT EXISTS dub_shares (
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share_id TEXT PRIMARY KEY,
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video_hash TEXT NOT NULL,
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title TEXT NOT NULL,
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created_at TEXT NOT NULL,
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FOREIGN KEY (video_hash) REFERENCES videos(video_hash) ON DELETE CASCADE
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);
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CREATE TABLE IF NOT EXISTS dub_share_segments (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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share_id TEXT NOT NULL,
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sentence_index INTEGER NOT NULL,
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start_ms INTEGER NOT NULL,
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end_ms INTEGER NOT NULL,
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text TEXT,
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audio_filename TEXT NOT NULL,
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audio_size_bytes INTEGER NOT NULL,
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overall_score REAL NOT NULL DEFAULT 0,
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recognized_text TEXT NOT NULL DEFAULT '',
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score_details TEXT NOT NULL DEFAULT '{}',
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FOREIGN KEY (share_id) REFERENCES dub_shares(share_id) ON DELETE CASCADE,
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UNIQUE (share_id, sentence_index)
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);
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"""
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)
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with self._connect() as connection:
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columns = {
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row["name"]
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for row in connection.execute("PRAGMA table_info(dub_share_segments)")
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}
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if "overall_score" not in columns:
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connection.execute(
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"ALTER TABLE dub_share_segments ADD COLUMN overall_score REAL NOT NULL DEFAULT 0"
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)
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if "recognized_text" not in columns:
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connection.execute(
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"ALTER TABLE dub_share_segments ADD COLUMN recognized_text TEXT NOT NULL DEFAULT ''"
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)
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if "score_details" not in columns:
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connection.execute(
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"ALTER TABLE dub_share_segments ADD COLUMN score_details TEXT NOT NULL DEFAULT '{}'"
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)
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with self._connect() as connection:
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video_columns = {
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row["name"]
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for row in connection.execute("PRAGMA table_info(videos)")
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}
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if "remote_url" not in video_columns:
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connection.execute("ALTER TABLE videos ADD COLUMN remote_url TEXT")
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def upsert_upload(
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self,
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*,
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video_hash: str,
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title: str,
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filename: str,
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stored_filename: str,
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content_type: str,
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size_bytes: int,
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language: Optional[str],
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) -> None:
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normalized_hash = normalize_video_hash(video_hash)
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now = utc_now()
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with self._connect() as connection:
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existing = connection.execute(
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"SELECT created_at FROM videos WHERE video_hash = ?",
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(normalized_hash,),
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).fetchone()
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created_at = existing["created_at"] if existing else now
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connection.execute(
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"""
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INSERT INTO videos (
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video_hash, title, filename, stored_filename, content_type,
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size_bytes, duration_ms, language, status, error_message,
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algorithm_version, transcription, remote_url, created_at, updated_at
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) VALUES (?, ?, ?, ?, ?, ?, NULL, ?, 'uploaded', NULL, NULL, NULL, NULL, ?, ?)
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ON CONFLICT(video_hash) DO UPDATE SET
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title = excluded.title,
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filename = excluded.filename,
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stored_filename = excluded.stored_filename,
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content_type = excluded.content_type,
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size_bytes = excluded.size_bytes,
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language = excluded.language,
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status = 'uploaded',
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error_message = NULL,
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updated_at = excluded.updated_at
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""",
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(
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normalized_hash,
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title,
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filename,
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stored_filename,
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content_type,
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size_bytes,
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language,
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created_at,
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now,
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),
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)
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def mark_processing(self, video_hash: str) -> None:
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self._update_status(video_hash, "processing", None)
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def mark_failed(self, video_hash: str, message: str) -> None:
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self._update_status(video_hash, "failed", message[:4000])
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def _update_status(self, video_hash: str, status: str, error_message: Optional[str]) -> None:
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with self._connect() as connection:
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connection.execute(
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"UPDATE videos SET status = ?, error_message = ?, updated_at = ? WHERE video_hash = ?",
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(status, error_message, utc_now(), normalize_video_hash(video_hash)),
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)
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def save_processing_result(
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self,
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document: SentenceBoundaryDocument,
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transcription: Optional[str],
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ready: bool = True,
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) -> None:
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with self._connect() as connection:
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connection.execute(
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"DELETE FROM sentences WHERE video_hash = ?",
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(document.video_hash,),
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)
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connection.executemany(
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"""
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INSERT INTO sentences (
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video_hash, sentence_index, start_ms, end_ms, text,
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language, reference_speech_duration_ms
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) VALUES (?, ?, ?, ?, ?, ?, ?)
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""",
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[
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(
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document.video_hash,
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sentence.index,
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sentence.start_ms,
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sentence.end_ms,
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sentence.text,
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sentence.language,
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sentence.reference_speech_duration_ms,
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)
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for sentence in document.sentences
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],
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)
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connection.execute(
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"""
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UPDATE videos SET duration_ms = ?, status = ?, error_message = NULL,
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algorithm_version = ?, transcription = ?, updated_at = ?
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WHERE video_hash = ?
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""",
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(
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document.duration_ms,
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"ready" if ready else "processing",
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document.algorithm_version,
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transcription,
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utc_now(),
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document.video_hash,
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),
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)
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def mark_oss_uploaded(self, video_hash: str, remote_url: str) -> None:
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with self._connect() as connection:
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connection.execute(
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"""
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UPDATE videos
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SET remote_url = ?, status = 'ready', error_message = NULL, updated_at = ?
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WHERE video_hash = ?
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""",
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(remote_url, utc_now(), normalize_video_hash(video_hash)),
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)
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def list_videos(self) -> List[Dict[str, Any]]:
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with self._connect() as connection:
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rows = connection.execute(
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"""
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SELECT v.*, COUNT(s.sentence_index) AS sentence_count
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FROM videos v
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LEFT JOIN sentences s ON s.video_hash = v.video_hash
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GROUP BY v.video_hash
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ORDER BY v.created_at DESC
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"""
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).fetchall()
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return [dict(row) for row in rows]
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def get_video(self, video_hash: str) -> Optional[Dict[str, Any]]:
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with self._connect() as connection:
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row = connection.execute(
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"""
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SELECT v.*, COUNT(s.sentence_index) AS sentence_count
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FROM videos v
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LEFT JOIN sentences s ON s.video_hash = v.video_hash
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WHERE v.video_hash = ?
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GROUP BY v.video_hash
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""",
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(normalize_video_hash(video_hash),),
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).fetchone()
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return dict(row) if row else None
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def get_document(self, video_hash: str) -> Optional[SentenceBoundaryDocument]:
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video = self.get_video(video_hash)
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if video is None or video["duration_ms"] is None:
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return None
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with self._connect() as connection:
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rows = connection.execute(
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"SELECT * FROM sentences WHERE video_hash = ? ORDER BY sentence_index",
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(normalize_video_hash(video_hash),),
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).fetchall()
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return SentenceBoundaryDocument(
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video_hash=video["video_hash"],
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duration_ms=video["duration_ms"],
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algorithm_version=video["algorithm_version"] or "unknown",
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sentences=[
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SentenceBoundary(
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index=row["sentence_index"],
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start_ms=row["start_ms"],
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end_ms=row["end_ms"],
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text=row["text"],
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language=row["language"],
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reference_speech_duration_ms=row["reference_speech_duration_ms"],
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)
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for row in rows
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],
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)
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def update_sentence_text(
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self,
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video_hash: str,
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sentence_index: int,
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text: str,
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language: Optional[str],
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) -> Optional[SentenceBoundary]:
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normalized_hash = normalize_video_hash(video_hash)
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with self._connect() as connection:
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cursor = connection.execute(
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"""
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UPDATE sentences SET text = ?, language = COALESCE(?, language)
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WHERE video_hash = ? AND sentence_index = ?
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""",
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(text.strip(), language, normalized_hash, sentence_index),
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)
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if cursor.rowcount == 0:
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return None
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connection.execute(
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"UPDATE videos SET updated_at = ? WHERE video_hash = ?",
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(utc_now(), normalized_hash),
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)
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row = connection.execute(
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"SELECT * FROM sentences WHERE video_hash = ? AND sentence_index = ?",
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(normalized_hash, sentence_index),
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).fetchone()
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return SentenceBoundary(
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index=row["sentence_index"],
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start_ms=row["start_ms"],
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end_ms=row["end_ms"],
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text=row["text"],
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language=row["language"],
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reference_speech_duration_ms=row["reference_speech_duration_ms"],
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)
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def get_sentence(
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self,
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video_hash: str,
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sentence_index: int,
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) -> Optional[SentenceBoundary]:
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normalized_hash = normalize_video_hash(video_hash)
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with self._connect() as connection:
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row = connection.execute(
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"""
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SELECT * FROM sentences
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WHERE video_hash = ? AND sentence_index = ?
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""",
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(normalized_hash, sentence_index),
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).fetchone()
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if row is None:
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return None
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return SentenceBoundary(
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index=row["sentence_index"],
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start_ms=row["start_ms"],
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end_ms=row["end_ms"],
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text=row["text"],
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language=row["language"],
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reference_speech_duration_ms=row["reference_speech_duration_ms"],
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)
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def replace_sentence(
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self,
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video_hash: str,
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sentence_index: int,
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replacements: List[SentenceBoundary],
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) -> Optional[List[SentenceBoundary]]:
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"""Replace one sentence row with one or more contiguous sentence rows."""
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normalized_hash = normalize_video_hash(video_hash)
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if not replacements:
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raise ValueError("At least one replacement sentence is required.")
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with self._connect() as connection:
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source = connection.execute(
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"""
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SELECT * FROM sentences
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WHERE video_hash = ? AND sentence_index = ?
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""",
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(normalized_hash, sentence_index),
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).fetchone()
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if source is None:
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return None
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rows = [
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SentenceBoundary(
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index=index,
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start_ms=replacement.start_ms,
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end_ms=replacement.end_ms,
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text=replacement.text.strip(),
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language=replacement.language,
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reference_speech_duration_ms=max(
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1, replacement.reference_speech_duration_ms or 1
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),
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)
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for index, replacement in enumerate(replacements)
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]
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previous_end = source["start_ms"]
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for replacement in rows:
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if (
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replacement.start_ms < previous_end
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or replacement.end_ms <= replacement.start_ms
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):
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raise ValueError("Replacement sentence times must be contiguous.")
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if replacement.end_ms > source["end_ms"]:
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raise ValueError(
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"Replacement sentences cannot exceed the source sentence."
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)
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previous_end = replacement.end_ms
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if rows[-1].end_ms != source["end_ms"]:
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raise ValueError("Replacement sentences must cover the source sentence.")
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# Shift following rows down first. Descending indexes avoid violating
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# the (video_hash, sentence_index) primary key while making room.
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added_count = len(rows) - 1
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if added_count:
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following = [
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row["sentence_index"]
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for row in connection.execute(
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"""
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SELECT sentence_index FROM sentences
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WHERE video_hash = ? AND sentence_index > ?
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ORDER BY sentence_index DESC
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""",
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(normalized_hash, sentence_index),
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).fetchall()
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]
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for old_index in following:
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connection.execute(
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"""
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UPDATE sentences SET sentence_index = ?
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WHERE video_hash = ? AND sentence_index = ?
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""",
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(old_index + added_count, normalized_hash, old_index),
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)
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first = rows[0]
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connection.execute(
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"""
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UPDATE sentences
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SET start_ms = ?, end_ms = ?, text = ?, language = ?,
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reference_speech_duration_ms = ?
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WHERE video_hash = ? AND sentence_index = ?
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""",
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(
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first.start_ms,
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first.end_ms,
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first.text,
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first.language,
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first.reference_speech_duration_ms,
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normalized_hash,
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sentence_index,
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),
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)
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for replacement in rows[1:]:
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connection.execute(
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"""
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INSERT INTO sentences (
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video_hash, sentence_index, start_ms, end_ms, text,
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language, reference_speech_duration_ms
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) VALUES (?, ?, ?, ?, ?, ?, ?)
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""",
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(
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normalized_hash,
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replacement.index,
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replacement.start_ms,
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replacement.end_ms,
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replacement.text,
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replacement.language,
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replacement.reference_speech_duration_ms,
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),
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)
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connection.execute(
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"UPDATE videos SET updated_at = ? WHERE video_hash = ?",
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(utc_now(), normalized_hash),
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)
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result_rows = connection.execute(
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"""
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SELECT * FROM sentences
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WHERE video_hash = ? AND sentence_index >= ? AND sentence_index < ?
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ORDER BY sentence_index
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""",
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(normalized_hash, sentence_index, sentence_index + len(rows)),
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).fetchall()
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return [
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SentenceBoundary(
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index=row["sentence_index"],
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start_ms=row["start_ms"],
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end_ms=row["end_ms"],
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text=row["text"],
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language=row["language"],
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reference_speech_duration_ms=row["reference_speech_duration_ms"],
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)
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for row in result_rows
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]
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|
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def create_dub_share(
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self,
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*,
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video_hash: str,
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title: str,
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segments: List[Dict[str, Any]],
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) -> Optional[Dict[str, Any]]:
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normalized_hash = normalize_video_hash(video_hash)
|
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if self.get_video(normalized_hash) is None:
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return None
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share_id = uuid.uuid4().hex
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now = utc_now()
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with self._connect() as connection:
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connection.execute(
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"""
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INSERT INTO dub_shares (share_id, video_hash, title, created_at)
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VALUES (?, ?, ?, ?)
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""",
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(share_id, normalized_hash, title[:200], now),
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)
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connection.executemany(
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"""
|
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INSERT INTO dub_share_segments (
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share_id, sentence_index, start_ms, end_ms, text,
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audio_filename, audio_size_bytes, overall_score, recognized_text,
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score_details
|
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) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""",
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[
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(
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share_id,
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segment["sentence_index"],
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segment["start_ms"],
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segment["end_ms"],
|
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segment["text"],
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segment["audio_filename"],
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segment["audio_size_bytes"],
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segment.get("overall_score", 0),
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segment.get("recognized_text", ""),
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segment.get("score_details", "{}"),
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)
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for segment in segments
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],
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)
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return {
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"share_id": share_id,
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"video_hash": normalized_hash,
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"title": title[:200],
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"created_at": now,
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}
|
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|
|
def get_dub_share(self, share_id: str) -> Optional[Dict[str, Any]]:
|
|
with self._connect() as connection:
|
|
share = connection.execute(
|
|
"SELECT * FROM dub_shares WHERE share_id = ?", (share_id,)
|
|
).fetchone()
|
|
if share is None:
|
|
return None
|
|
rows = connection.execute(
|
|
"""
|
|
SELECT * FROM dub_share_segments
|
|
WHERE share_id = ?
|
|
ORDER BY sentence_index
|
|
""",
|
|
(share_id,),
|
|
).fetchall()
|
|
result = dict(share)
|
|
result["segments"] = [dict(row) for row in rows]
|
|
return result
|
|
|
|
def record_attempt(
|
|
self,
|
|
*,
|
|
attempt_id: str,
|
|
video_hash: str,
|
|
sentence_index: int,
|
|
result: Dict[str, Any],
|
|
audio_filename: Optional[str],
|
|
) -> None:
|
|
with self._connect() as connection:
|
|
connection.execute(
|
|
"""
|
|
INSERT INTO attempts (
|
|
attempt_id, video_hash, sentence_index, result_json,
|
|
audio_filename, created_at
|
|
) VALUES (?, ?, ?, ?, ?, ?)
|
|
""",
|
|
(
|
|
attempt_id,
|
|
normalize_video_hash(video_hash),
|
|
sentence_index,
|
|
json.dumps(result, ensure_ascii=False),
|
|
audio_filename,
|
|
utc_now(),
|
|
),
|
|
)
|
|
|
|
def delete_video(self, video_hash: str) -> Optional[Dict[str, Any]]:
|
|
video = self.get_video(video_hash)
|
|
if video is None:
|
|
return None
|
|
with self._connect() as connection:
|
|
connection.execute(
|
|
"DELETE FROM videos WHERE video_hash = ?",
|
|
(normalize_video_hash(video_hash),),
|
|
)
|
|
return video
|