add incremental enrich controls with progress and retry limits

README.md

@@ -9,6 +9,8 @@ A Python-based CLI tool for managing personal video collections with a safety-fi
 - **Comprehensive Analysis**: Detect episode gaps and duplicate files
 - **Rich Metadata**: Extract video resolution, codec, duration, and bitrate
 - **Flexible Organization**: Customizable directory structure and naming templates
+- **Metadata Enrichment**: Add bilingual titles and reputation signals (TMDB + optional Douban + optional AI fallback)
+- **Incremental Performance**: SQLite-backed cache avoids repeated metadata lookups
 - **State Tracking**: Track file status throughout the workflow
 - **Detailed Reporting**: Generate inventory, completeness, and duplicate reports
 
@@ -72,7 +74,26 @@ This creates `identities.json` with parsed information.
 - **Series**: Title, season, and episode numbers (e.g., "Breaking Bad S01E01")
 - **Confidence scores**: Indicates parsing reliability
 
-### 4. Analyze Your Library
+### 4. Enrich Titles and Reputation (Optional but Recommended)
+
+Add translation and reputation metadata to `identities.json`:
+
+```bash
+vlm enrich
+```
+
+This updates `identities.json` in place and adds fields like:
+- `title_zh`, `title_en`, `display_title`
+- `reputation_score`, `reputation_votes`, `reputation_source`
+- `review_status`, `enrichment_confidence`
+
+To refresh all records instead of using incremental cache:
+
+```bash
+vlm enrich --refresh-all
+```
+
+### 5. Analyze Your Library
 
 Detect episode gaps and duplicates:
 
@@ -84,7 +105,7 @@ This creates `analysis.json` with:
 - Series with missing episodes
 - Duplicate files with quality comparison
 
-### 5. Generate Execution Plan
+### 6. Generate Execution Plan
 
 Create a reviewable plan of file operations:
 
@@ -96,7 +117,7 @@ This creates `plan.json` with proposed operations (move, rename, quarantine).
 
 **Review the plan** by opening `plan.json` in your editor. You can edit it if needed.
 
-### 6. Execute (Dry-Run First)
+### 7. Execute (Dry-Run First)
 
 Preview what will happen without making changes:
 
@@ -112,7 +133,7 @@ vlm execute --confirm
 
 **Important**: This creates a rollback log in `~/.vlm/rollback/` for reverting changes.
 
-### 7. Rollback (If Needed)
+### 8. Rollback (If Needed)
 
 If you need to undo the operations:
 
@@ -139,27 +160,31 @@ vlm scan
 vlm parse
 # Output: identities.json with parsed titles and episodes
 
-# 4. Analyze for gaps and duplicates
+# 4. Enrich identities (translation + reputation)
+vlm enrich
+# Output: identities.json updated in place (incremental cache enabled)
+
+# 5. Analyze for gaps and duplicates
 vlm analyze
 # Output: analysis.json with 5 series with gaps, 12 duplicate groups
 
-# 5. Generate execution plan
+# 6. Generate execution plan
 vlm plan
 # Output: plan.json with 456 operations proposed
 
-# 6. Review the plan
+# 7. Review the plan
 cat plan.json | less
 # or open in your editor
 
-# 7. Dry-run to preview
+# 8. Dry-run to preview
 vlm execute
 # Shows what would happen without making changes
 
-# 8. Execute with confirmation
+# 9. Execute with confirmation
 vlm execute --confirm
 # Actually performs the file operations
 
-# 9. If needed, rollback
+# 10. If needed, rollback
 vlm rollback
 ```
 
@@ -204,6 +229,25 @@ vlm parse
 vlm parse --input my_inventory.csv --output my_identities.json
 ```
 
+### Enrichment
+
+```bash
+# Enrich identities in place (default: identities.json)
+vlm enrich
+
+# Enrich custom file and write to another file
+vlm enrich --input my_identities.json --output enriched_identities.json
+
+# Refresh changed records only (explicit incremental mode)
+vlm enrich --refresh-changed-only
+
+# Force full refresh (ignore cache for all records)
+vlm enrich --refresh-all
+
+# Tune request behavior
+vlm enrich --timeout 6 --retries 2
+```
+
 ### Analysis
 
 ```bash
@@ -337,6 +381,30 @@ categories:
   movie: [movie, movies, films]
   series: [series, tv, shows]
   anime: [anime]
+
+# Enrichment settings
+enrichment:
+  enabled: true
+  incremental: true
+  refresh_mode: "manual"
+  providers: [tmdb, douban]
+  cache_db: "~/.vlm/enrichment_cache.db"
+  max_concurrency: 6
+  min_match_score: 0.75
+  douban_endpoint: null
+  translation:
+    mode: "bidirectional"
+    fallback_machine: true
+  api_keys:
+    tmdb: null
+    douban: null
+    openai: null
+  reputation:
+    min_votes: 50
+    low_score_threshold: 6.0
+    policy: "flag_for_review"
+  naming:
+    title_format: "{title_zh} {title_en}"
 ```
 
 ### Template Variables
@@ -414,6 +482,7 @@ vlm report summary
 # 1. Scan and parse
 vlm scan
 vlm parse
+vlm enrich
 
 # 2. Analyze completeness
 vlm analyze
@@ -428,6 +497,7 @@ vlm report completeness
 # 1. Scan and parse
 vlm scan
 vlm parse
+vlm enrich
 
 # 2. Analyze for duplicates
 vlm analyze
@@ -452,6 +522,7 @@ vlm execute
 # 2. Scan and parse
 vlm scan
 vlm parse
+vlm enrich
 
 # 3. Generate plan
 vlm plan
@@ -580,6 +651,9 @@ src/vlm/
 ├── cli.py              # Click-based CLI interface
 ├── scanner.py          # File discovery and metadata extraction
 ├── parser.py           # Filename parsing (titles, years, episodes)
+├── enrichment.py       # Title/reputation enrichment pipeline
+├── cache.py            # SQLite cache for incremental enrichment
+├── providers/          # External metadata providers (TMDB/Douban)
 ├── analysis.py         # Completeness and duplicate detection
 ├── planner.py          # Execution plan generation
 ├── executor.py         # File operations and rollback
@@ -593,6 +667,7 @@ src/vlm/
 tests/
 ├── test_scanner.py     # Scanner tests
 ├── test_parser.py      # Parser tests
+├── test_enrichment.py  # Enrichment tests
 ├── test_analysis.py    # Analysis tests
 ├── test_planner.py     # Planner tests
 └── ...                 # More test files

src/vlm/cache.py

@@ -0,0 +1,59 @@
+"""SQLite cache utilities for enrichment."""
+
+from __future__ import annotations
+
+import json
+import sqlite3
+from pathlib import Path
+from typing import Optional
+
+
+class EnrichmentCache:
+    """Simple SQLite-backed cache for incremental enrichment."""
+
+    def __init__(self, db_path: Path) -> None:
+        self.db_path = db_path
+        self.db_path.parent.mkdir(parents=True, exist_ok=True)
+        self._ensure_schema()
+
+    def _connect(self) -> sqlite3.Connection:
+        return sqlite3.connect(self.db_path)
+
+    def _ensure_schema(self) -> None:
+        with self._connect() as conn:
+            conn.execute(
+                """
+                CREATE TABLE IF NOT EXISTS identity_enrichment (
+                    identity_key TEXT PRIMARY KEY,
+                    fingerprint TEXT NOT NULL,
+                    payload_json TEXT NOT NULL,
+                    updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP
+                )
+                """
+            )
+
+    def get_identity(self, identity_key: str, fingerprint: str) -> Optional[dict]:
+        with self._connect() as conn:
+            row = conn.execute(
+                "SELECT payload_json FROM identity_enrichment WHERE identity_key = ? AND fingerprint = ?",
+                (identity_key, fingerprint),
+            ).fetchone()
+
+        if not row:
+            return None
+        return json.loads(row[0])
+
+    def put_identity(self, identity_key: str, fingerprint: str, payload: dict) -> None:
+        payload_json = json.dumps(payload, ensure_ascii=False)
+        with self._connect() as conn:
+            conn.execute(
+                """
+                INSERT INTO identity_enrichment(identity_key, fingerprint, payload_json)
+                VALUES (?, ?, ?)
+                ON CONFLICT(identity_key) DO UPDATE SET
+                    fingerprint=excluded.fingerprint,
+                    payload_json=excluded.payload_json,
+                    updated_at=CURRENT_TIMESTAMP
+                """,
+                (identity_key, fingerprint, payload_json),
+            )

src/vlm/cli.py

@@ -116,8 +116,31 @@ def main(ctx, config: Path, log_level: Optional[str]):
     default=Path('inventory.csv'),
     help='Output file for inventory (default: inventory.csv)'
 )
+@click.option(
+    '--metadata/--no-metadata',
+    default=True,
+    help='Extract video metadata via ffprobe (default: enabled)'
+)
+@click.option(
+    '--reuse-from',
+    type=click.Path(exists=True, path_type=Path),
+    default=None,
+    help='Reuse metadata cache from an existing inventory CSV (default: output file if it exists)'
+)
+@click.option(
+    '--force-refresh-metadata',
+    is_flag=True,
+    default=False,
+    help='Ignore metadata cache and re-run ffprobe for all files'
+)
 @pass_context
-def scan(ctx: CLIContext, output: Path):
+def scan(
+    ctx: CLIContext,
+    output: Path,
+    metadata: bool,
+    reuse_from: Optional[Path],
+    force_refresh_metadata: bool
+):
     """Scan library and generate inventory.
     
     Discovers all video files in the library and records their metadata.
@@ -127,8 +150,11 @@ def scan(ctx: CLIContext, output: Path):
     
         vlm scan                          # Save to inventory.csv
         vlm scan --output my_library.csv  # Save to custom file
+        vlm scan --no-metadata            # Faster scan without ffprobe
+        vlm scan --reuse-from old.csv     # Reuse prior metadata cache
+        vlm scan --force-refresh-metadata # Re-run ffprobe for all files
     """
-    from vlm.scanner import scan_library, save_inventory_csv
+    from vlm.scanner import scan_library, save_inventory_csv, load_inventory_csv
     
     config = ctx.config
     logger = ctx.logger
@@ -139,8 +165,59 @@ def scan(ctx: CLIContext, output: Path):
         click.echo("This may take a while for large libraries...")
         click.echo()
         
+        progress_state: dict[str, Optional[click.ProgressBar]] = {"bar": None}
+        progress_position = {"current": 0}
+
+        def _scan_progress(processed: int, total: int) -> None:
+            if total <= 0:
+                return
+            if progress_state["bar"] is None:
+                bar = click.progressbar(
+                    length=total,
+                    label="Scanning files",
+                    show_pos=True,
+                )
+                progress_state["bar"] = bar.__enter__()
+
+            step = processed - progress_position["current"]
+            if step > 0 and progress_state["bar"] is not None:
+                progress_state["bar"].update(step)
+                progress_position["current"] = processed
+
+        metadata_cache = None
+        cache_source = None
+        if not force_refresh_metadata:
+            cache_source = reuse_from if reuse_from is not None else (output if output.exists() else None)
+
+        if metadata and force_refresh_metadata:
+            click.echo("Forcing metadata refresh for all files (cache disabled).")
+            click.echo()
+
+        if metadata and cache_source is not None:
+            click.echo(f"Loading metadata cache from: {cache_source}")
+            try:
+                cached_files = load_inventory_csv(cache_source)
+                metadata_cache = {str(vf.path): vf for vf in cached_files}
+                click.echo(f"Loaded metadata cache entries: {len(metadata_cache)}")
+                click.echo()
+            except Exception as e:
+                click.echo(f"Warning: could not load metadata cache: {e}")
+                click.echo("Continuing without cache.")
+                click.echo()
+
         # Perform the scan
-        video_files = scan_library(config.library_root, config)
+        try:
+            video_files = scan_library(
+                config.library_root,
+                config,
+                progress_callback=_scan_progress,
+                include_video_metadata=metadata,
+                metadata_cache=metadata_cache
+            )
+        finally:
+            if progress_state["bar"] is not None:
+                progress_state["bar"].__exit__(None, None, None)
+                click.echo()
         
         # Display summary
         click.echo(f"Scan complete!")
@@ -369,6 +446,187 @@ def parse(ctx: CLIContext, input: Path, output: Path):
         sys.exit(1)
 
 
+@main.command()
+@click.option(
+    '--input',
+    type=click.Path(exists=True, path_type=Path),
+    default=Path('identities.json'),
+    help='Path to identities JSON file (default: identities.json)'
+)
+@click.option(
+    '--output',
+    type=click.Path(path_type=Path),
+    default=None,
+    help='Output path (default: overwrite input file)'
+)
+@click.option(
+    '--refresh-changed-only',
+    is_flag=True,
+    default=False,
+    help='Refresh only records whose identity fingerprint changed (incremental behavior)'
+)
+@click.option(
+    '--refresh-all',
+    is_flag=True,
+    default=False,
+    help='Bypass cache and re-enrich all records'
+)
+@click.option(
+    '--timeout',
+    type=int,
+    default=6,
+    show_default=True,
+    help='Per-request timeout in seconds'
+)
+@click.option(
+    '--retries',
+    type=int,
+    default=2,
+    show_default=True,
+    help='Retry attempts for provider/API requests'
+)
+@pass_context
+def enrich(
+    ctx: CLIContext,
+    input: Path,
+    output: Optional[Path],
+    refresh_changed_only: bool,
+    refresh_all: bool,
+    timeout: int,
+    retries: int,
+):
+    """Enrich identities with translation and reputation metadata.
+
+    Applies incremental cache-backed enrichment to parsed identities and writes
+    results back into identities JSON.
+    """
+    import json
+    from vlm.enrichment import enrich_identities_data
+
+    config = ctx.config
+    logger = ctx.logger
+
+    if output is None:
+        output = input
+
+    try:
+        click.echo(f"Enriching identities from: {input}")
+        click.echo(f"Output file: {output}")
+        click.echo()
+
+        with open(input, 'r', encoding='utf-8') as jsonfile:
+            identities_data = json.load(jsonfile)
+
+        if refresh_all and refresh_changed_only:
+            click.echo("Error: --refresh-all and --refresh-changed-only are mutually exclusive.", err=True)
+            sys.exit(1)
+
+        if timeout < 1:
+            click.echo("Error: --timeout must be >= 1", err=True)
+            sys.exit(1)
+
+        if retries < 0:
+            click.echo("Error: --retries must be >= 0", err=True)
+            sys.exit(1)
+
+        refresh_mode = "incremental"
+        if refresh_all:
+            refresh_mode = "refresh_all"
+        elif refresh_changed_only:
+            refresh_mode = "refresh_changed_only"
+
+        total = (
+            len(identities_data.get('movies', []))
+            + len(identities_data.get('series', []))
+            + len(identities_data.get('anime', []))
+        )
+
+        progress_state: dict[str, Optional[click.ProgressBar]] = {"bar": None}
+        progress_position = {"current": 0}
+
+        def _enrich_progress(processed: int, total_count: int, _metrics: dict[str, int]) -> None:
+            if total_count <= 0:
+                return
+
+            if progress_state["bar"] is None:
+                bar = click.progressbar(
+                    length=total_count,
+                    label="Enriching records",
+                    show_pos=True,
+                )
+                progress_state["bar"] = bar.__enter__()
+
+            step = processed - progress_position["current"]
+            if step > 0 and progress_state["bar"] is not None:
+                progress_state["bar"].update(step)
+                progress_position["current"] = processed
+
+        try:
+            if total == 0:
+                click.echo("No movie/series/anime records found to enrich.")
+            enriched_data, stats = enrich_identities_data(
+                identities_data,
+                config,
+                refresh_mode=refresh_mode,
+                request_timeout=timeout,
+                retries=retries,
+                logger=logger,
+                progress_callback=_enrich_progress,
+            )
+        finally:
+            if progress_state["bar"] is not None:
+                progress_state["bar"].__exit__(None, None, None)
+                click.echo()
+
+        output.parent.mkdir(parents=True, exist_ok=True)
+        with open(output, 'w', encoding='utf-8') as jsonfile:
+            json.dump(enriched_data, jsonfile, indent=2, ensure_ascii=False)
+
+        total_records = int(stats['total']) if stats['total'] else 0
+        cache_hits = int(stats['cache_hits'])
+        hit_rate = (cache_hits / total_records * 100.0) if total_records else 0.0
+
+        click.echo("Enrichment complete!")
+        click.echo(f"  Total records: {total_records}")
+        click.echo(f"  Refresh mode: {refresh_mode}")
+        click.echo(f"  Enriched now: {stats['enriched']}")
+        click.echo(f"  Cache hits: {stats['cache_hits']}")
+        click.echo(f"  Cache hit rate: {hit_rate:.1f}%")
+        click.echo(f"  API calls: {stats['api_calls']}")
+        click.echo(f"  Failed requests: {stats['failed']}")
+        click.echo(f"  Skipped: {stats['skipped']}")
+        click.echo(f"  Needs review: {stats['needs_review']}")
+        failed_items = stats.get('failed_items', [])
+        if isinstance(failed_items, list) and failed_items:
+            click.echo("  Failure sample:")
+            for item in failed_items[:3]:
+                click.echo(
+                    f"    - [{item.get('provider', 'unknown')}] {item.get('title', '')}: {item.get('reason', '')}"
+                )
+
+        logger.info(
+            "Enrich completed: total=%s enriched=%s cache_hits=%s failed=%s skipped=%s mode=%s",
+            stats['total'],
+            stats['enriched'],
+            stats['cache_hits'],
+            stats['failed'],
+            stats['skipped'],
+            refresh_mode,
+        )
+    except FileNotFoundError:
+        click.echo(f"Error: Input file not found: {input}", err=True)
+        logger.error(f"Input file not found: {input}")
+        sys.exit(1)
+    except json.JSONDecodeError as e:
+        click.echo(f"Error: Failed to parse JSON file: {e}", err=True)
+        logger.error(f"JSON parsing failed during enrich: {e}", exc_info=True)
+        sys.exit(1)
+    except Exception as e:
+        click.echo(f"Error during enrichment: {e}", err=True)
+        logger.error(f"Enrich failed: {e}", exc_info=True)
+        sys.exit(1)
+
+
 @main.command()
 @click.option(
     '--input',
@@ -632,6 +890,7 @@ def plan(ctx: CLIContext, input: Path, output: Path):
         
         # Process movies
         for m in movies_data:
+            is_approved = m.get('review_status') == 'approved'
             video_file = VideoFile(
                 path=Path(m['path']),
                 filename=m['filename'],
@@ -645,17 +904,28 @@ def plan(ctx: CLIContext, input: Path, output: Path):
             )
             
             movie_identity = MovieIdentity(
-                title=m['title'],
+                title=m.get('display_title', m['title']),
                 year=m.get('year'),
                 confidence=m['confidence'],
-                needs_review=m['needs_review'],
-                original_filename=m['filename']
+                needs_review=(m['needs_review'] and not is_approved),
+                original_filename=m['filename'],
+                canonical_id=m.get('canonical_id'),
+                title_zh=m.get('title_zh'),
+                title_en=m.get('title_en'),
+                translation_source=m.get('translation_source'),
+                reputation_score=m.get('reputation_score'),
+                reputation_votes=m.get('reputation_votes'),
+                reputation_source=m.get('reputation_source'),
+                review_status=m.get('review_status', 'pending'),
+                enrichment_confidence=m.get('enrichment_confidence'),
+                provider_metadata=m.get('provider_metadata', {})
             )
             
             identities_list.append((video_file, movie_identity))
         
         # Process series
         for s in series_data:
+            is_approved = s.get('review_status') == 'approved'
             video_file = VideoFile(
                 path=Path(s['path']),
                 filename=s['filename'],
@@ -669,12 +939,22 @@ def plan(ctx: CLIContext, input: Path, output: Path):
             )
             
             series_identity = SeriesIdentity(
-                title=s['title'],
+                title=s.get('display_title', s['title']),
                 season=s.get('season'),
                 episodes=s.get('episodes', []),
                 confidence=s['confidence'],
-                needs_review=s['needs_review'],
-                original_filename=s['filename']
+                needs_review=(s['needs_review'] and not is_approved),
+                original_filename=s['filename'],
+                canonical_id=s.get('canonical_id'),
+                title_zh=s.get('title_zh'),
+                title_en=s.get('title_en'),
+                translation_source=s.get('translation_source'),
+                reputation_score=s.get('reputation_score'),
+                reputation_votes=s.get('reputation_votes'),
+                reputation_source=s.get('reputation_source'),
+                review_status=s.get('review_status', 'pending'),
+                enrichment_confidence=s.get('enrichment_confidence'),
+                provider_metadata=s.get('provider_metadata', {})
             )
             
             identities_list.append((video_file, series_identity))

src/vlm/config.py

@@ -8,19 +8,8 @@ import yaml
 
 @dataclass
 class Config:
-    """Configuration for Video Library Manager.
+    """Configuration for Video Library Manager."""
 
-    Attributes:
-        library_root: Root directory of the video library
-        video_extensions: List of video file extensions to recognize
-        movie_template: Directory template for movies (e.g., "movie/{title} ({year})/")
-        series_template: Directory template for series (e.g., "series/{title}/Season {season:02d}/")
-        movie_filename_template: Filename template for movies (e.g., "{title} ({year}){ext}")
-        series_filename_template: Filename template for series (e.g., "S{season:02d}E{episode:02d}{ext}")
-        log_level: Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
-        quarantine_dir: Quarantine directory name relative to category root (e.g., ".quarantine")
-        categories: Mapping of category names to directory name lists for file categorization
-    """
     library_root: Path
     video_extensions: list[str] = field(default_factory=lambda: [
         ".mp4", ".mkv", ".avi", ".mov", ".wmv", ".flv", ".webm", ".m4v"
@@ -32,30 +21,38 @@ class Config:
     log_level: str = "INFO"
     quarantine_dir: str = ".quarantine"
     categories: dict[str, list[str]] = field(default_factory=lambda: {
-        "movie": ["movie"],
-        "series": ["series"],
+        "movie": ["movie", "movies"],
+        "series": ["series", "tv", "shows"],
         "anime": ["anime"]
     })
 
+    # Enrichment settings
+    enrichment_enabled: bool = True
+    enrichment_incremental: bool = True
+    enrichment_refresh_mode: str = "manual"
+    enrichment_providers: list[str] = field(default_factory=lambda: ["tmdb", "douban"])
+    enrichment_cache_db: Path = field(default_factory=lambda: Path.home() / ".vlm" / "enrichment_cache.db")
+    enrichment_max_concurrency: int = 6
+    enrichment_min_match_score: float = 0.75
+    translation_mode: str = "bidirectional"
+    translation_fallback_machine: bool = True
+    tmdb_api_key: Optional[str] = None
+    douban_api_key: Optional[str] = None
+    douban_api_endpoint: Optional[str] = None
+    openai_api_key: Optional[str] = None
+    reputation_min_votes: int = 50
+    reputation_low_score_threshold: float = 6.0
+    reputation_policy: str = "flag_for_review"
+    naming_title_format: str = "{title_zh} {title_en}"
+
 
 def load_config(path: Path) -> Config:
-    """Load configuration from YAML file.
-    
-    Args:
-        path: Path to configuration file
-        
-    Returns:
-        Config object with loaded settings
-        
-    Raises:
-        FileNotFoundError: If config file doesn't exist (caller should handle by creating default)
-        yaml.YAMLError: If YAML syntax is invalid (caller should handle by using defaults)
-    """
+    """Load configuration from YAML file."""
     if not path.exists():
         raise FileNotFoundError(f"Configuration file not found: {path}")
 
     try:
-        with open(path, 'r', encoding='utf-8') as f:
+        with open(path, "r", encoding="utf-8") as f:
             data = yaml.safe_load(f)
     except yaml.YAMLError as e:
         raise yaml.YAMLError(f"Invalid YAML syntax in configuration file: {e}")
@@ -63,36 +60,36 @@ def load_config(path: Path) -> Config:
     if data is None:
         data = {}
 
-    # Extract library_root (required field)
-    library_root_str = data.get('library_root')
+    library_root_str = data.get("library_root")
     if not library_root_str:
         raise ValueError("Configuration must specify 'library_root'")
 
     library_root = Path(library_root_str).expanduser()
 
-    # Extract optional fields with defaults
-    video_extensions = data.get('video_extensions', [
+    video_extensions = data.get("video_extensions", [
         ".mp4", ".mkv", ".avi", ".mov", ".wmv", ".flv", ".webm", ".m4v"
     ])
 
-    # Extract templates
-    templates = data.get('templates', {})
-    movie_template = templates.get('movie_dir', "movie/{title} ({year})/")
-    series_template = templates.get('series_dir', "series/{title}/Season {season:02d}/")
-    movie_filename_template = templates.get('movie_filename', "{title} ({year}){ext}")
-    series_filename_template = templates.get('series_filename', "S{season:02d}E{episode:02d}{ext}")
+    templates = data.get("templates", {})
+    movie_template = templates.get("movie_dir", "movie/{title} ({year})/")
+    series_template = templates.get("series_dir", "series/{title}/Season {season:02d}/")
+    movie_filename_template = templates.get("movie_filename", "{title} ({year}){ext}")
+    series_filename_template = templates.get("series_filename", "S{season:02d}E{episode:02d}{ext}")
 
-    # Extract other settings
-    quarantine_dir = data.get('quarantine_dir', '.quarantine')
-    log_level = data.get('log_level', 'INFO')
-
-    # Extract categories configuration
-    categories = data.get('categories', {
-        "movie": ["movie"],
-        "series": ["series"],
+    quarantine_dir = data.get("quarantine_dir", ".quarantine")
+    log_level = data.get("log_level", "INFO")
+    categories = data.get("categories", {
+        "movie": ["movie", "movies"],
+        "series": ["series", "tv", "shows"],
         "anime": ["anime"]
     })
 
+    enrichment = data.get("enrichment", {})
+    translation = enrichment.get("translation", {})
+    api_keys = enrichment.get("api_keys", {})
+    reputation = enrichment.get("reputation", {})
+    naming = enrichment.get("naming", {})
+
     return Config(
         library_root=library_root,
         video_extensions=video_extensions,
@@ -102,79 +99,94 @@ def load_config(path: Path) -> Config:
         series_filename_template=series_filename_template,
         log_level=log_level,
         quarantine_dir=quarantine_dir,
-        categories=categories
+        categories=categories,
+        enrichment_enabled=enrichment.get("enabled", True),
+        enrichment_incremental=enrichment.get("incremental", True),
+        enrichment_refresh_mode=enrichment.get("refresh_mode", "manual"),
+        enrichment_providers=enrichment.get("providers", ["tmdb", "douban"]),
+        enrichment_cache_db=Path(
+            enrichment.get("cache_db", str(Path.home() / ".vlm" / "enrichment_cache.db"))
+        ).expanduser(),
+        enrichment_max_concurrency=enrichment.get("max_concurrency", 6),
+        enrichment_min_match_score=enrichment.get("min_match_score", 0.75),
+        translation_mode=translation.get("mode", "bidirectional"),
+        translation_fallback_machine=translation.get("fallback_machine", True),
+        tmdb_api_key=api_keys.get("tmdb"),
+        douban_api_key=api_keys.get("douban"),
+        douban_api_endpoint=enrichment.get("douban_endpoint"),
+        openai_api_key=api_keys.get("openai"),
+        reputation_min_votes=reputation.get("min_votes", 50),
+        reputation_low_score_threshold=reputation.get("low_score_threshold", 6.0),
+        reputation_policy=reputation.get("policy", "flag_for_review"),
+        naming_title_format=naming.get("title_format", "{title_zh} {title_en}"),
     )
 
 
 def create_default_config(path: Path) -> Config:
-    """Create a default configuration file and return the Config object.
-    
-    Args:
-        path: Path where configuration file should be created
-        
-    Returns:
-        Config object with default settings
-    """
-    # Create default config object
+    """Create a default configuration file and return the Config object."""
     default_config = Config(
         library_root=Path.home() / "Videos",
         video_extensions=[".mp4", ".mkv", ".avi", ".mov", ".wmv", ".flv", ".webm", ".m4v"],
-        movie_template="movie/{title} ({year})/",
-        series_template="series/{title}/Season {season:02d}/",
-        movie_filename_template="{title} ({year}){ext}",
-        series_filename_template="S{season:02d}E{episode:02d}{ext}",
-        log_level="INFO",
-        quarantine_dir=".quarantine",
-        categories={
-            "movie": ["movie"],
-            "series": ["series"],
-            "anime": ["anime"]
-        }
     )
 
-    # Create YAML content
     yaml_content = {
-        'library_root': str(default_config.library_root),
-        'video_extensions': default_config.video_extensions,
-        'templates': {
-            'movie_dir': default_config.movie_template,
-            'series_dir': default_config.series_template,
-            'movie_filename': default_config.movie_filename_template,
-            'series_filename': default_config.series_filename_template
+        "library_root": str(default_config.library_root),
+        "video_extensions": default_config.video_extensions,
+        "templates": {
+            "movie_dir": default_config.movie_template,
+            "series_dir": default_config.series_template,
+            "movie_filename": default_config.movie_filename_template,
+            "series_filename": default_config.series_filename_template,
+        },
+        "quarantine_dir": default_config.quarantine_dir,
+        "log_level": default_config.log_level,
+        "categories": default_config.categories,
+        "enrichment": {
+            "enabled": default_config.enrichment_enabled,
+            "incremental": default_config.enrichment_incremental,
+            "refresh_mode": default_config.enrichment_refresh_mode,
+            "providers": default_config.enrichment_providers,
+            "cache_db": str(default_config.enrichment_cache_db),
+            "max_concurrency": default_config.enrichment_max_concurrency,
+            "min_match_score": default_config.enrichment_min_match_score,
+            "translation": {
+                "mode": default_config.translation_mode,
+                "fallback_machine": default_config.translation_fallback_machine,
+            },
+            "api_keys": {
+                "tmdb": default_config.tmdb_api_key,
+                "douban": default_config.douban_api_key,
+                "openai": default_config.openai_api_key,
+            },
+            "douban_endpoint": default_config.douban_api_endpoint,
+            "reputation": {
+                "min_votes": default_config.reputation_min_votes,
+                "low_score_threshold": default_config.reputation_low_score_threshold,
+                "policy": default_config.reputation_policy,
+            },
+            "naming": {
+                "title_format": default_config.naming_title_format,
+            },
         },
-        'quarantine_dir': default_config.quarantine_dir,
-        'log_level': default_config.log_level,
-        'categories': default_config.categories
     }
 
-    # Ensure parent directory exists
     path.parent.mkdir(parents=True, exist_ok=True)
 
-    # Write configuration file
-    with open(path, 'w', encoding='utf-8') as f:
+    with open(path, "w", encoding="utf-8") as f:
         yaml.dump(yaml_content, f, default_flow_style=False, sort_keys=False)
 
     return default_config
 
 
 def validate_config(config: Config) -> list[str]:
-    """Validate configuration and return list of error messages.
-    
-    Args:
-        config: Configuration object to validate
-        
-    Returns:
-        List of error messages (empty if valid)
-    """
+    """Validate configuration and return list of error messages."""
     errors = []
 
-    # Validate library_root
     if not isinstance(config.library_root, Path):
         errors.append("library_root must be a Path object")
     elif not str(config.library_root) or str(config.library_root) == ".":
         errors.append("library_root cannot be empty")
 
-    # Validate video_extensions
     if not config.video_extensions:
         errors.append("video_extensions cannot be empty")
     elif not isinstance(config.video_extensions, list):
@@ -184,10 +196,9 @@ def validate_config(config: Config) -> list[str]:
             if not isinstance(ext, str):
                 errors.append(f"video_extensions must contain strings, found: {type(ext)}")
                 break
-            if not ext.startswith('.'):
+            if not ext.startswith("."):
                 errors.append(f"video extension must start with '.': {ext}")
 
-    # Validate templates
     if not config.movie_template:
         errors.append("movie_template cannot be empty")
     elif not isinstance(config.movie_template, str):
@@ -208,7 +219,6 @@ def validate_config(config: Config) -> list[str]:
     elif not isinstance(config.series_filename_template, str):
         errors.append("series_filename_template must be a string")
 
-    # Validate log_level
     valid_log_levels = ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]
     if not config.log_level:
         errors.append("log_level cannot be empty")
@@ -217,27 +227,23 @@ def validate_config(config: Config) -> list[str]:
     elif config.log_level.upper() not in valid_log_levels:
         errors.append(f"log_level must be one of {valid_log_levels}, got: {config.log_level}")
 
-    # Validate quarantine_dir
     if not config.quarantine_dir:
         errors.append("quarantine_dir cannot be empty")
     elif not isinstance(config.quarantine_dir, str):
         errors.append("quarantine_dir must be a string")
-    elif config.quarantine_dir.startswith('/') or config.quarantine_dir.startswith('\\'):
+    elif config.quarantine_dir.startswith("/") or config.quarantine_dir.startswith("\\"):
         errors.append("quarantine_dir must be relative to category root, not absolute")
 
-    # Validate categories
     if not config.categories:
         errors.append("categories cannot be empty")
     elif not isinstance(config.categories, dict):
         errors.append("categories must be a dictionary")
     else:
-        # Check required category keys exist
         required_categories = {"movie", "series", "anime"}
         missing = required_categories - set(config.categories.keys())
         if missing:
             errors.append(f"categories must include keys: {sorted(missing)}")
 
-        # Validate each category's directory list and check for duplicates
         seen_dirs = {}
         for category, dir_list in config.categories.items():
             if not isinstance(dir_list, list):
@@ -257,7 +263,6 @@ def validate_config(config: Config) -> list[str]:
                     errors.append(f"categories['{category}'] contains empty directory name")
                     break
 
-                # Check for duplicates (case-insensitive)
                 dir_lower = dir_name.lower()
                 if dir_lower in seen_dirs:
                     errors.append(
@@ -267,4 +272,19 @@ def validate_config(config: Config) -> list[str]:
                 else:
                     seen_dirs[dir_lower] = category
 
+    if not isinstance(config.enrichment_cache_db, Path):
+        errors.append("enrichment_cache_db must be a Path object")
+    if not isinstance(config.enrichment_providers, list) or not config.enrichment_providers:
+        errors.append("enrichment_providers must be a non-empty list")
+    if config.enrichment_max_concurrency < 1:
+        errors.append("enrichment_max_concurrency must be >= 1")
+    if not (0.0 <= config.enrichment_min_match_score <= 1.0):
+        errors.append("enrichment_min_match_score must be between 0.0 and 1.0")
+    if config.enrichment_refresh_mode not in {"manual"}:
+        errors.append("enrichment_refresh_mode must be 'manual'")
+    if config.reputation_min_votes < 0:
+        errors.append("reputation_min_votes must be >= 0")
+    if not (0.0 <= config.reputation_low_score_threshold <= 10.0):
+        errors.append("reputation_low_score_threshold must be between 0.0 and 10.0")
+
     return errors

src/vlm/enrichment.py

@@ -0,0 +1,431 @@
+"""Identity enrichment pipeline.
+
+Adds bilingual titles and reputation signals with incremental SQLite caching.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+from typing import Callable, Optional
+from urllib.request import urlopen, Request
+
+from vlm.cache import EnrichmentCache
+from vlm.config import Config
+from vlm.providers import ProviderResult, TMDBProvider, DoubanProvider
+from vlm.parser import normalize_title
+
+RefreshMode = str
+ProgressCallback = Callable[[int, int, dict[str, int]], None]
+
+
+def enrich_identities_data(
+    identities_data: dict,
+    config: Config,
+    *,
+    refresh_mode: RefreshMode = "incremental",
+    request_timeout: int = 6,
+    retries: int = 2,
+    logger=None,
+    progress_callback: Optional[ProgressCallback] = None,
+) -> tuple[dict, dict[str, int | list[dict[str, str]]]]:
+    """Enrich parsed identities in memory and return updated data + stats.
+
+    refresh_mode:
+        - incremental: default, uses fingerprint cache checks
+        - refresh_changed_only: semantic alias of incremental mode
+        - refresh_all: bypasses cache and re-fetches all records
+    """
+    cache = EnrichmentCache(config.enrichment_cache_db)
+    providers = _build_providers(
+        config,
+        request_timeout=request_timeout,
+        retries=retries,
+    )
+
+    total_records = (
+        len(identities_data.get("movies", []))
+        + len(identities_data.get("series", []))
+        + len(identities_data.get("anime", []))
+    )
+
+    stats: dict[str, int | list[dict[str, str]]] = {
+        "total": total_records,
+        "processed": 0,
+        "enriched": 0,
+        "cache_hits": 0,
+        "skipped": 0,
+        "needs_review": 0,
+        "failed": 0,
+        "api_calls": 0,
+        "failed_items": [],
+    }
+
+    refresh_all = refresh_mode == "refresh_all"
+
+    for section, media_type in (("movies", "movie"), ("series", "series"), ("anime", "anime")):
+        records = identities_data.get(section, [])
+        for record in records:
+            title = record.get("title") or _fallback_title_from_filename(record.get("filename"))
+            if not title:
+                stats["skipped"] = int(stats["skipped"]) + 1
+                stats["processed"] = int(stats["processed"]) + 1
+                _emit_progress(stats, progress_callback)
+                continue
+
+            if "title" not in record:
+                record["title"] = title
+
+            fingerprint = _fingerprint(record, media_type)
+            identity_key = _identity_key(record, media_type)
+
+            cached = None
+            if not refresh_all:
+                cached = cache.get_identity(identity_key, fingerprint)
+
+            if cached:
+                _apply_payload(record, cached)
+                stats["cache_hits"] = int(stats["cache_hits"]) + 1
+                if record.get("needs_review"):
+                    stats["needs_review"] = int(stats["needs_review"]) + 1
+                stats["processed"] = int(stats["processed"]) + 1
+                _emit_progress(stats, progress_callback)
+                continue
+
+            payload, api_calls, failures = _enrich_record(
+                record,
+                media_type,
+                providers,
+                config,
+                request_timeout=request_timeout,
+                retries=retries,
+            )
+            stats["api_calls"] = int(stats["api_calls"]) + api_calls
+            if failures:
+                failed_items = stats["failed_items"]
+                assert isinstance(failed_items, list)
+                failed_items.extend(failures)
+                stats["failed"] = int(stats["failed"]) + len(failures)
+
+            _apply_payload(record, payload)
+            cache.put_identity(identity_key, fingerprint, payload)
+
+            if payload.get("enriched"):
+                stats["enriched"] = int(stats["enriched"]) + 1
+            else:
+                stats["skipped"] = int(stats["skipped"]) + 1
+
+            if record.get("needs_review"):
+                stats["needs_review"] = int(stats["needs_review"]) + 1
+
+            stats["processed"] = int(stats["processed"]) + 1
+            _emit_progress(stats, progress_callback)
+
+    metadata = identities_data.setdefault("metadata", {})
+    metadata["enriched"] = True
+    metadata["enrichment_policy"] = "incremental" if refresh_mode != "refresh_all" else "full"
+    metadata["enrichment_refresh_mode"] = refresh_mode
+
+    if logger:
+        logger.info(
+            "Enrichment completed: total=%s enriched=%s cache_hits=%s skipped=%s failed=%s api_calls=%s",
+            stats["total"],
+            stats["enriched"],
+            stats["cache_hits"],
+            stats["skipped"],
+            stats["failed"],
+            stats["api_calls"],
+        )
+
+    return identities_data, stats
+
+
+def _emit_progress(stats: dict[str, int | list[dict[str, str]]], progress_callback: Optional[ProgressCallback]) -> None:
+    if not progress_callback:
+        return
+    progress_callback(
+        int(stats["processed"]),
+        int(stats["total"]),
+        {
+            "cache_hits": int(stats["cache_hits"]),
+            "api_calls": int(stats["api_calls"]),
+            "failed": int(stats["failed"]),
+        },
+    )
+
+
+def _build_providers(config: Config, *, request_timeout: int, retries: int) -> list:
+    providers = []
+    for name in config.enrichment_providers:
+        key = name.lower()
+        if key == "tmdb":
+            providers.append(
+                TMDBProvider(
+                    config.tmdb_api_key,
+                    timeout_seconds=request_timeout,
+                    retries=retries,
+                    min_interval_seconds=0.25,
+                )
+            )
+        elif key == "douban":
+            providers.append(
+                DoubanProvider(
+                    config.douban_api_key,
+                    endpoint=config.douban_api_endpoint,
+                    timeout_seconds=request_timeout,
+                    retries=retries,
+                    min_interval_seconds=0.4,
+                )
+            )
+    return providers
+
+
+def _enrich_record(
+    record: dict,
+    media_type: str,
+    providers: list,
+    config: Config,
+    *,
+    request_timeout: int,
+    retries: int,
+) -> tuple[dict, int, list[dict[str, str]]]:
+    title = record.get("title")
+    year = record.get("year") if media_type == "movie" else None
+
+    provider_results: list[ProviderResult] = []
+    failures: list[dict[str, str]] = []
+    api_calls = 0
+
+    for provider in providers:
+        api_calls += 1
+        try:
+            result = provider.enrich(title=title, media_type=media_type, year=year)
+        except Exception as exc:
+            failures.append(
+                {
+                    "path": str(record.get("path", "")),
+                    "title": str(title),
+                    "provider": getattr(provider, "name", "unknown"),
+                    "reason": str(exc),
+                }
+            )
+            continue
+
+        if result:
+            provider_results.append(result)
+
+    merged = _merge_provider_results(provider_results)
+
+    # Optional AI fallback for missing translated titles.
+    if config.translation_fallback_machine:
+        if not merged.get("title_zh"):
+            translated = _translate_with_openai(
+                title,
+                target_language="Chinese (Simplified)",
+                api_key=config.openai_api_key,
+                timeout_seconds=request_timeout,
+                retries=retries,
+            )
+            api_calls += 1
+            if translated:
+                merged["title_zh"] = translated
+                merged["translation_source"] = merged.get("translation_source") or "openai"
+
+        if not merged.get("title_en"):
+            translated = _translate_with_openai(
+                title,
+                target_language="English",
+                api_key=config.openai_api_key,
+                timeout_seconds=request_timeout,
+                retries=retries,
+            )
+            api_calls += 1
+            if translated:
+                merged["title_en"] = translated
+                merged["translation_source"] = merged.get("translation_source") or "openai"
+
+    confidence = _enrichment_confidence(merged)
+    merged["enrichment_confidence"] = confidence
+
+    review_status = record.get("review_status", "pending")
+    needs_review = bool(record.get("needs_review", False))
+
+    if confidence < config.enrichment_min_match_score:
+        needs_review = True
+
+    score = merged.get("reputation_score")
+    votes = merged.get("reputation_votes") or 0
+    if (
+        score is not None
+        and votes >= config.reputation_min_votes
+        and score < config.reputation_low_score_threshold
+    ):
+        needs_review = True
+
+    merged["review_status"] = review_status
+    merged["needs_review"] = needs_review
+    merged["enriched"] = bool(provider_results or merged.get("translation_source"))
+    merged["display_title"] = _build_display_title(record, merged, config)
+
+    return merged, api_calls, failures
+
+
+def _merge_provider_results(results: list[ProviderResult]) -> dict:
+    payload: dict = {
+        "canonical_id": None,
+        "title_zh": None,
+        "title_en": None,
+        "translation_source": None,
+        "reputation_score": None,
+        "reputation_votes": None,
+        "reputation_source": None,
+        "provider_metadata": {},
+    }
+
+    if not results:
+        return payload
+
+    first = results[0]
+    payload["canonical_id"] = first.canonical_id
+    payload["title_zh"] = first.title_zh
+    payload["title_en"] = first.title_en
+    payload["translation_source"] = first.translation_source
+
+    total_weight = 0
+    weighted_score = 0.0
+    source_names = []
+
+    for result in results:
+        source_names.append(result.provider)
+        payload["provider_metadata"][result.provider] = json.dumps(result.raw_metadata, ensure_ascii=False)
+
+        if not payload["title_zh"] and result.title_zh:
+            payload["title_zh"] = result.title_zh
+            payload["translation_source"] = result.translation_source or result.provider
+
+        if not payload["title_en"] and result.title_en:
+            payload["title_en"] = result.title_en
+
+        if result.reputation_score is None:
+            continue
+
+        votes = result.reputation_votes if result.reputation_votes and result.reputation_votes > 0 else 1
+        weighted_score += result.reputation_score * votes
+        total_weight += votes
+
+    if total_weight > 0:
+        payload["reputation_score"] = round(weighted_score / total_weight, 3)
+        payload["reputation_votes"] = total_weight
+        payload["reputation_source"] = "+".join(sorted(set(source_names)))
+
+    return payload
+
+
+def _enrichment_confidence(payload: dict) -> float:
+    score = 0.0
+    if payload.get("canonical_id"):
+        score += 0.4
+    if payload.get("title_zh"):
+        score += 0.2
+    if payload.get("title_en"):
+        score += 0.2
+    if payload.get("reputation_score") is not None:
+        score += 0.2
+    return round(score, 3)
+
+
+def _translate_with_openai(
+    text: str,
+    *,
+    target_language: str,
+    api_key: Optional[str],
+    timeout_seconds: int,
+    retries: int,
+) -> Optional[str]:
+    if not api_key:
+        return None
+
+    body = {
+        "model": "gpt-4o-mini",
+        "input": (
+            f"Translate the movie or TV title into {target_language}. "
+            "Return only the translated title without explanations."
+            f"\nTitle: {text}"
+        ),
+    }
+    request = Request(
+        "https://api.openai.com/v1/responses",
+        data=json.dumps(body).encode("utf-8"),
+        headers={
+            "Authorization": f"Bearer {api_key}",
+            "Content-Type": "application/json",
+        },
+        method="POST",
+    )
+
+    for _ in range(max(retries + 1, 1)):
+        try:
+            with urlopen(request, timeout=timeout_seconds) as response:
+                payload = json.loads(response.read().decode("utf-8"))
+                output_text = payload.get("output_text")
+                if isinstance(output_text, str) and output_text.strip():
+                    return output_text.strip()
+        except Exception:
+            continue
+
+    return None
+
+
+def _apply_payload(record: dict, payload: dict) -> None:
+    for key in (
+        "canonical_id",
+        "title_zh",
+        "title_en",
+        "translation_source",
+        "reputation_score",
+        "reputation_votes",
+        "reputation_source",
+        "review_status",
+        "enrichment_confidence",
+        "provider_metadata",
+        "display_title",
+    ):
+        if key in payload and payload[key] is not None:
+            record[key] = payload[key]
+
+    if "needs_review" in payload:
+        record["needs_review"] = payload["needs_review"]
+
+
+def _identity_key(record: dict, media_type: str) -> str:
+    return f"{media_type}:{record.get('path', '')}"
+
+
+def _fingerprint(record: dict, media_type: str) -> str:
+    fields = [
+        media_type,
+        str(record.get("path", "")),
+        str(record.get("title", "")),
+        str(record.get("year", "")),
+        str(record.get("season", "")),
+        json.dumps(record.get("episodes", [])),
+    ]
+    digest = hashlib.sha256("|".join(fields).encode("utf-8")).hexdigest()
+    return digest
+
+
+def _fallback_title_from_filename(filename: Optional[str]) -> Optional[str]:
+    if not filename:
+        return None
+    base = filename.rsplit(".", 1)[0]
+    return normalize_title(base)
+
+
+def _build_display_title(record: dict, payload: dict, config: Config) -> str:
+    title_zh = payload.get("title_zh") or record.get("title")
+    title_en = payload.get("title_en") or record.get("title")
+    try:
+        formatted = config.naming_title_format.format(title_zh=title_zh, title_en=title_en).strip()
+    except Exception:
+        formatted = f"{title_zh} {title_en}".strip()
+    return " ".join(formatted.split())

src/vlm/models.py

@@ -4,7 +4,7 @@ This module defines the core data structures used throughout the application
 for representing video files and their parsed identities.
 """
 
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from datetime import datetime
 from pathlib import Path
 from typing import Optional
@@ -54,6 +54,16 @@ class MovieIdentity:
     confidence: float
     needs_review: bool
     original_filename: str
+    canonical_id: Optional[str] = None
+    title_zh: Optional[str] = None
+    title_en: Optional[str] = None
+    translation_source: Optional[str] = None
+    reputation_score: Optional[float] = None
+    reputation_votes: Optional[int] = None
+    reputation_source: Optional[str] = None
+    review_status: str = "pending"
+    enrichment_confidence: Optional[float] = None
+    provider_metadata: dict[str, str] = field(default_factory=dict)
 
 
 @dataclass
@@ -74,6 +84,16 @@ class SeriesIdentity:
     confidence: float
     needs_review: bool
     original_filename: str
+    canonical_id: Optional[str] = None
+    title_zh: Optional[str] = None
+    title_en: Optional[str] = None
+    translation_source: Optional[str] = None
+    reputation_score: Optional[float] = None
+    reputation_votes: Optional[int] = None
+    reputation_source: Optional[str] = None
+    review_status: str = "pending"
+    enrichment_confidence: Optional[float] = None
+    provider_metadata: dict[str, str] = field(default_factory=dict)
 
 
 @dataclass

src/vlm/planner.py

@@ -136,7 +136,18 @@ def _create_movie_operation(
     Returns:
         FileOperation for organizing the movie
     """
-    # If movie needs review (no year), generate no-op
+    # Explicitly blocked by manual review workflow.
+    if identity.review_status == "rejected":
+        return FileOperation(
+            operation_type="no-op",
+            source_path=video_file.path,
+            destination_path=None,
+            reason="Movie rejected during manual review",
+            has_conflict=False,
+            conflict_reason=None
+        )
+
+    # If movie needs review (no year or low-confidence enrichment), generate no-op
     if identity.needs_review or identity.year is None:
         return FileOperation(
             operation_type="no-op",
@@ -214,7 +225,18 @@ def _create_series_operation(
     Returns:
         FileOperation for organizing the series episode
     """
-    # If series needs review (no season or no episodes), generate no-op (v1 constraint)
+    # Explicitly blocked by manual review workflow.
+    if identity.review_status == "rejected":
+        return FileOperation(
+            operation_type="no-op",
+            source_path=video_file.path,
+            destination_path=None,
+            reason="Series rejected during manual review",
+            has_conflict=False,
+            conflict_reason=None
+        )
+
+    # If series needs review (no season or no episodes), generate no-op
     if identity.needs_review or identity.season is None or len(identity.episodes) == 0:
         return FileOperation(
             operation_type="no-op",

src/vlm/providers/__init__.py

@@ -0,0 +1,12 @@
+"""Provider implementations for enrichment."""
+
+from vlm.providers.base import EnrichmentProvider, ProviderResult
+from vlm.providers.tmdb import TMDBProvider
+from vlm.providers.douban import DoubanProvider
+
+__all__ = [
+    "EnrichmentProvider",
+    "ProviderResult",
+    "TMDBProvider",
+    "DoubanProvider",
+]

src/vlm/providers/base.py

@@ -0,0 +1,31 @@
+"""Provider interfaces for enrichment sources."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Protocol, Optional
+
+
+@dataclass
+class ProviderResult:
+    """Normalized provider output used by enrichment pipeline."""
+
+    provider: str
+    canonical_id: Optional[str] = None
+    title_zh: Optional[str] = None
+    title_en: Optional[str] = None
+    translation_source: Optional[str] = None
+    reputation_score: Optional[float] = None
+    reputation_votes: Optional[int] = None
+    reputation_source: Optional[str] = None
+    match_score: Optional[float] = None
+    raw_metadata: dict[str, str] = field(default_factory=dict)
+
+
+class EnrichmentProvider(Protocol):
+    """Protocol for title/score providers."""
+
+    name: str
+
+    def enrich(self, *, title: str, media_type: str, year: Optional[int] = None) -> Optional[ProviderResult]:
+        """Return normalized metadata for a single identity."""

src/vlm/providers/douban.py

@@ -0,0 +1,97 @@
+"""Douban provider implementation.
+
+This provider is optional. If no endpoint is configured, it silently degrades.
+"""
+
+from __future__ import annotations
+
+import json
+import time
+from typing import Optional
+from urllib.parse import urlencode
+from urllib.request import urlopen, Request
+
+from vlm.providers.base import ProviderResult
+
+
+class DoubanProvider:
+    """Fetch reputation data from a configurable Douban-compatible API."""
+
+    name = "douban"
+
+    def __init__(
+        self,
+        api_key: Optional[str],
+        endpoint: Optional[str] = None,
+        timeout_seconds: int = 6,
+        retries: int = 2,
+        min_interval_seconds: float = 0.4,
+    ) -> None:
+        self.api_key = api_key
+        self.endpoint = endpoint
+        self.timeout_seconds = timeout_seconds
+        self.retries = retries
+        self.min_interval_seconds = min_interval_seconds
+        self._last_request_at = 0.0
+
+    def enrich(self, *, title: str, media_type: str, year: Optional[int] = None) -> Optional[ProviderResult]:
+        if not self.endpoint:
+            return None
+
+        params = {
+            "q": title,
+            "type": media_type,
+        }
+        if year is not None:
+            params["year"] = year
+        if self.api_key:
+            params["api_key"] = self.api_key
+
+        data = self._get_json(self.endpoint, params)
+        if not data:
+            return None
+
+        items = data.get("items") or data.get("subjects") or []
+        if not items:
+            return None
+
+        item = items[0]
+        score = item.get("rating") or item.get("score")
+        votes = item.get("vote_count") or item.get("ratings_count")
+        title_zh = item.get("title")
+        title_en = item.get("original_title")
+
+        return ProviderResult(
+            provider=self.name,
+            canonical_id=f"douban:{item.get('id', 'unknown')}",
+            title_zh=title_zh,
+            title_en=title_en,
+            translation_source=self.name if title_zh or title_en else None,
+            reputation_score=float(score) if score is not None else None,
+            reputation_votes=int(votes) if votes is not None else None,
+            reputation_source=self.name,
+            raw_metadata={"id": str(item.get("id", ""))},
+        )
+
+    def _wait_for_rate_limit(self) -> None:
+        if self.min_interval_seconds <= 0:
+            return
+        now = time.monotonic()
+        elapsed = now - self._last_request_at
+        if elapsed < self.min_interval_seconds:
+            time.sleep(self.min_interval_seconds - elapsed)
+
+    def _get_json(self, url: str, params: dict) -> Optional[dict]:
+        full_url = f"{url}?{urlencode(params)}"
+        request = Request(full_url, headers={"Accept": "application/json"})
+        for _ in range(max(self.retries + 1, 1)):
+            self._wait_for_rate_limit()
+            try:
+                with urlopen(request, timeout=self.timeout_seconds) as response:
+                    payload = response.read().decode("utf-8")
+                    self._last_request_at = time.monotonic()
+                    return json.loads(payload)
+            except Exception:
+                self._last_request_at = time.monotonic()
+                continue
+        return None

src/vlm/providers/tmdb.py

@@ -0,0 +1,108 @@
+"""TMDB provider implementation."""
+
+from __future__ import annotations
+
+import json
+import time
+from typing import Optional
+from urllib.parse import urlencode
+from urllib.request import urlopen, Request
+
+from vlm.providers.base import ProviderResult
+
+
+class TMDBProvider:
+    """Fetch translations and reputation data from TMDB."""
+
+    name = "tmdb"
+
+    def __init__(
+        self,
+        api_key: Optional[str],
+        language: str = "zh-CN",
+        timeout_seconds: int = 6,
+        retries: int = 2,
+        min_interval_seconds: float = 0.25,
+    ) -> None:
+        self.api_key = api_key
+        self.language = language
+        self.base_url = "https://api.themoviedb.org/3"
+        self.timeout_seconds = timeout_seconds
+        self.retries = retries
+        self.min_interval_seconds = min_interval_seconds
+        self._last_request_at = 0.0
+
+    def enrich(self, *, title: str, media_type: str, year: Optional[int] = None) -> Optional[ProviderResult]:
+        if not self.api_key:
+            return None
+
+        search_type = "tv" if media_type in {"series", "anime", "tv"} else "movie"
+        query_params = {
+            "api_key": self.api_key,
+            "query": title,
+            "language": self.language,
+        }
+        if year and search_type == "movie":
+            query_params["year"] = year
+
+        search_data = self._get_json(f"{self.base_url}/search/{search_type}", query_params)
+        if not search_data:
+            return None
+
+        results = search_data.get("results", [])
+        if not results:
+            return None
+
+        candidate = results[0]
+        tmdb_id = candidate.get("id")
+        if tmdb_id is None:
+            return None
+
+        details = self._get_json(
+            f"{self.base_url}/{search_type}/{tmdb_id}",
+            {"api_key": self.api_key, "language": self.language},
+        )
+        if not details:
+            details = candidate
+
+        original_title = details.get("original_title") or details.get("original_name")
+        localized_title = details.get("title") or details.get("name")
+        vote_average = details.get("vote_average")
+        vote_count = details.get("vote_count")
+
+        return ProviderResult(
+            provider=self.name,
+            canonical_id=f"tmdb:{search_type}:{tmdb_id}",
+            title_zh=localized_title,
+            title_en=original_title,
+            translation_source=self.name,
+            reputation_score=float(vote_average) if vote_average is not None else None,
+            reputation_votes=int(vote_count) if vote_count is not None else None,
+            reputation_source=self.name,
+            match_score=float(candidate.get("popularity", 0.0)) if candidate.get("popularity") is not None else None,
+            raw_metadata={"media_type": search_type, "id": str(tmdb_id)},
+        )
+
+    def _wait_for_rate_limit(self) -> None:
+        if self.min_interval_seconds <= 0:
+            return
+        now = time.monotonic()
+        elapsed = now - self._last_request_at
+        if elapsed < self.min_interval_seconds:
+            time.sleep(self.min_interval_seconds - elapsed)
+
+    def _get_json(self, url: str, params: dict) -> Optional[dict]:
+        full_url = f"{url}?{urlencode(params)}"
+        request = Request(full_url, headers={"Accept": "application/json"})
+
+        for _ in range(max(self.retries + 1, 1)):
+            self._wait_for_rate_limit()
+            try:
+                with urlopen(request, timeout=self.timeout_seconds) as response:
+                    payload = response.read().decode("utf-8")
+                    self._last_request_at = time.monotonic()
+                    return json.loads(payload)
+            except Exception:
+                self._last_request_at = time.monotonic()
+                continue
+        return None

tests/test_cli_enrich.py

@@ -0,0 +1,136 @@
+"""Tests for CLI enrich command."""
+
+import json
+
+from click.testing import CliRunner
+
+from vlm.cli import main
+
+
+def test_enrich_in_place_updates_identities(tmp_path):
+    """`vlm enrich` should update identities file in place by default."""
+    library_root = tmp_path / "library"
+    library_root.mkdir(parents=True)
+
+    config_file = tmp_path / "config.yaml"
+    config_file.write_text(
+        f"""
+library_root: {library_root}
+categories:
+  movie: [movie, movies]
+  series: [series, tv, shows]
+  anime: [anime]
+enrichment:
+  cache_db: {tmp_path / 'cache.db'}
+""".strip()
+    )
+
+    identities_file = tmp_path / "identities.json"
+    identities_file.write_text(json.dumps({
+        "metadata": {},
+        "movies": [
+            {
+                "path": "/library/movie/Test.2024.mkv",
+                "filename": "Test.2024.mkv",
+                "category": "movie",
+                "title": "Test",
+                "year": 2024,
+                "confidence": 0.9,
+                "needs_review": False,
+            }
+        ],
+        "series": [],
+        "anime": [],
+        "other": [],
+    }, ensure_ascii=False))
+
+    runner = CliRunner()
+    result = runner.invoke(main, ["--config", str(config_file), "enrich", "--input", str(identities_file)])
+
+    assert result.exit_code == 0
+    assert "Enrichment complete!" in result.output
+
+    updated = json.loads(identities_file.read_text(encoding="utf-8"))
+    assert updated["metadata"]["enriched"] is True
+
+
+def test_enrich_refresh_all_option_runs_successfully(tmp_path):
+    """`vlm enrich --refresh-all` should execute successfully."""
+    library_root = tmp_path / "library"
+    library_root.mkdir(parents=True)
+
+    config_file = tmp_path / "config.yaml"
+    config_file.write_text(
+        f"""
+library_root: {library_root}
+categories:
+  movie: [movie, movies]
+  series: [series, tv, shows]
+  anime: [anime]
+enrichment:
+  cache_db: {tmp_path / 'cache.db'}
+""".strip()
+    )
+
+    identities_file = tmp_path / "identities.json"
+    identities_file.write_text(json.dumps({
+        "metadata": {},
+        "movies": [],
+        "series": [],
+        "anime": [],
+        "other": [],
+    }))
+
+    runner = CliRunner()
+    result = runner.invoke(
+        main,
+        ["--config", str(config_file), "enrich", "--input", str(identities_file), "--refresh-all"],
+    )
+
+    assert result.exit_code == 0
+    assert "Enrichment complete!" in result.output
+
+
+def test_enrich_rejects_conflicting_refresh_flags(tmp_path):
+    """Conflicting refresh flags should fail with a clear error."""
+    library_root = tmp_path / "library"
+    library_root.mkdir(parents=True)
+
+    config_file = tmp_path / "config.yaml"
+    config_file.write_text(
+        f"""
+library_root: {library_root}
+categories:
+  movie: [movie, movies]
+  series: [series, tv, shows]
+  anime: [anime]
+enrichment:
+  cache_db: {tmp_path / 'cache.db'}
+""".strip()
+    )
+
+    identities_file = tmp_path / "identities.json"
+    identities_file.write_text(json.dumps({
+        "metadata": {},
+        "movies": [],
+        "series": [],
+        "anime": [],
+        "other": [],
+    }))
+
+    runner = CliRunner()
+    result = runner.invoke(
+        main,
+        [
+            "--config",
+            str(config_file),
+            "enrich",
+            "--input",
+            str(identities_file),
+            "--refresh-all",
+            "--refresh-changed-only",
+        ],
+    )
+
+    assert result.exit_code == 1
+    assert "mutually exclusive" in result.output

tests/test_config.py

@@ -40,8 +40,8 @@ class TestConfig:
         config = Config(library_root=Path("/test"))
 
         assert config.categories == {
-            "movie": ["movie"],
-            "series": ["series"],
+            "movie": ["movie", "movies"],
+            "series": ["series", "tv", "shows"],
             "anime": ["anime"]
         }
 

tests/test_enrichment.py

@@ -0,0 +1,171 @@
+"""Unit tests for enrichment pipeline."""
+
+from vlm.config import Config
+from vlm.enrichment import enrich_identities_data
+from vlm.providers.base import ProviderResult
+
+
+class DummyProvider:
+    name = "dummy"
+
+    def __init__(self):
+        self.calls = 0
+
+    def enrich(self, *, title: str, media_type: str, year=None):
+        self.calls += 1
+        return ProviderResult(
+            provider="dummy",
+            canonical_id=f"dummy:{title}",
+            title_zh="测试中文名",
+            title_en="Test English Title",
+            translation_source="dummy",
+            reputation_score=8.2,
+            reputation_votes=100,
+            reputation_source="dummy",
+        )
+
+
+def test_enrich_incremental_cache_hit(tmp_path, monkeypatch):
+    """Second enrichment run should hit cache when fingerprint is unchanged."""
+    config = Config(
+        library_root=tmp_path,
+        enrichment_cache_db=tmp_path / "cache.db",
+        enrichment_providers=["dummy"],
+        translation_fallback_machine=False,
+    )
+
+    provider = DummyProvider()
+    monkeypatch.setattr(
+        "vlm.enrichment._build_providers",
+        lambda _config, request_timeout, retries: [provider],
+    )
+
+    identities = {
+        "metadata": {},
+        "movies": [
+            {
+                "path": "/library/movie/The.Matrix.1999.mkv",
+                "filename": "The.Matrix.1999.mkv",
+                "category": "movie",
+                "title": "The Matrix",
+                "year": 1999,
+                "confidence": 0.9,
+                "needs_review": False,
+            }
+        ],
+        "series": [],
+        "anime": [],
+        "other": [],
+    }
+
+    _, stats_first = enrich_identities_data(identities, config)
+    assert stats_first["enriched"] == 1
+    assert stats_first["cache_hits"] == 0
+    assert stats_first["api_calls"] == 1
+    assert provider.calls == 1
+
+    _, stats_second = enrich_identities_data(identities, config)
+    assert stats_second["cache_hits"] == 1
+    assert stats_second["api_calls"] == 0
+    assert provider.calls == 1
+
+    movie = identities["movies"][0]
+    assert movie["title_zh"] == "测试中文名"
+    assert movie["title_en"] == "Test English Title"
+    assert movie["display_title"] == "测试中文名 Test English Title"
+
+
+def test_enrich_flags_low_reputation_for_review(tmp_path, monkeypatch):
+    """Low reputation should set needs_review when vote count is high enough."""
+
+    class LowScoreProvider(DummyProvider):
+        def enrich(self, *, title: str, media_type: str, year=None):
+            self.calls += 1
+            return ProviderResult(
+                provider="dummy",
+                canonical_id=f"dummy:{title}",
+                title_zh="低分作品",
+                title_en="Low Score",
+                translation_source="dummy",
+                reputation_score=4.5,
+                reputation_votes=500,
+                reputation_source="dummy",
+            )
+
+    config = Config(
+        library_root=tmp_path,
+        enrichment_cache_db=tmp_path / "cache.db",
+        enrichment_providers=["dummy"],
+        translation_fallback_machine=False,
+        reputation_low_score_threshold=6.0,
+        reputation_min_votes=50,
+    )
+
+    provider = LowScoreProvider()
+    monkeypatch.setattr(
+        "vlm.enrichment._build_providers",
+        lambda _config, request_timeout, retries: [provider],
+    )
+
+    identities = {
+        "metadata": {},
+        "movies": [
+            {
+                "path": "/library/movie/Unknown.2020.mkv",
+                "filename": "Unknown.2020.mkv",
+                "category": "movie",
+                "title": "Unknown",
+                "year": 2020,
+                "confidence": 0.9,
+                "needs_review": False,
+            }
+        ],
+        "series": [],
+        "anime": [],
+        "other": [],
+    }
+
+    enrich_identities_data(identities, config)
+
+    assert identities["movies"][0]["needs_review"] is True
+
+
+def test_enrich_refresh_all_bypasses_cache(tmp_path, monkeypatch):
+    """refresh_all should not use cache and should invoke provider again."""
+    config = Config(
+        library_root=tmp_path,
+        enrichment_cache_db=tmp_path / "cache.db",
+        enrichment_providers=["dummy"],
+        translation_fallback_machine=False,
+    )
+
+    provider = DummyProvider()
+    monkeypatch.setattr(
+        "vlm.enrichment._build_providers",
+        lambda _config, request_timeout, retries: [provider],
+    )
+
+    identities = {
+        "metadata": {},
+        "movies": [
+            {
+                "path": "/library/movie/Test.2020.mkv",
+                "filename": "Test.2020.mkv",
+                "category": "movie",
+                "title": "Test",
+                "year": 2020,
+                "confidence": 0.9,
+                "needs_review": False,
+            }
+        ],
+        "series": [],
+        "anime": [],
+        "other": [],
+    }
+
+    enrich_identities_data(identities, config, refresh_mode="incremental")
+    assert provider.calls == 1
+
+    _, stats = enrich_identities_data(identities, config, refresh_mode="refresh_all")
+    assert provider.calls == 2
+    assert stats["cache_hits"] == 0

tests/test_planner.py

@@ -921,3 +921,52 @@ def test_plan_json_includes_all_required_fields(config, tmp_path):
     required_op_fields = ["operation_type", "source_path", "destination_path", "reason", "has_conflict", "conflict_reason"]
     for field in required_op_fields:
         assert field in operation, f"Missing required operation field: {field}"
+
+
+def test_movie_rejected_by_review_generates_noop(config):
+    """Rejected movie should not generate move/rename operation."""
+    video_file = VideoFile(
+        path=Path("/mnt/nas/videos/movie/Movie.2020.mkv"),
+        filename="Movie.2020.mkv",
+        size_bytes=1000000,
+        modified_timestamp=datetime.now(),
+        category="movie"
+    )
+
+    identity = MovieIdentity(
+        title="Movie",
+        year=2020,
+        confidence=0.9,
+        needs_review=False,
+        original_filename="Movie.2020.mkv",
+        review_status="rejected"
+    )
+
+    plan = generate_plan([(video_file, identity)], config)
+    assert plan.operations[0].operation_type == "no-op"
+    assert "rejected" in plan.operations[0].reason.lower()
+
+
+def test_series_rejected_by_review_generates_noop(config):
+    """Rejected series should not generate move/rename operation."""
+    video_file = VideoFile(
+        path=Path("/mnt/nas/videos/series/Show.S01E01.mkv"),
+        filename="Show.S01E01.mkv",
+        size_bytes=1000000,
+        modified_timestamp=datetime.now(),
+        category="series"
+    )
+
+    identity = SeriesIdentity(
+        title="Show",
+        season=1,
+        episodes=[1],
+        confidence=0.9,
+        needs_review=False,
+        original_filename="Show.S01E01.mkv",
+        review_status="rejected"
+    )
+
+    plan = generate_plan([(video_file, identity)], config)
+    assert plan.operations[0].operation_type == "no-op"
+    assert "rejected" in plan.operations[0].reason.lower()