dl-organizer/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Video Library Manager (VLM) is a Python CLI tool for managing personal video collections with a safety-first, human-in-the-loop approach. All file operations are reversible, require explicit confirmation, and generate reviewable execution plans before making changes.

Development Commands

Important: This project uses uv for Python package management. All commands should be run with uv run to ensure they execute in the correct project environment with proper dependencies.

Installation

# Install package in editable mode
uv pip install -e .

# Install with dev dependencies (pytest, hypothesis)
uv pip install -e ".[dev]"

Testing

# Run all tests (use uv run to execute in the project environment)
uv run pytest

# Run specific test file
uv run pytest tests/test_scanner.py

# Run with verbose output
uv run pytest -v

# Run with quiet output (summary only)
uv run pytest -q

# Count total test cases
uv run pytest --collect-only -q

Running the CLI

# Verify CLI works (use uv run for proper environment)
uv run vlm --help

# Initialize config
uv run vlm config init

# Common workflow
uv run vlm scan                    # Discover files
uv run vlm parse                   # Extract identities (v1 schema)
uv run vlm parse --inventory inventory.csv  # Extract identities with embedded metadata (v2 schema, recommended)
uv run vlm enrich                  # (Optional) Enrich titles/reputation via TMDB
uv run vlm enrich --refresh-all    # Force full refresh (ignore cache)
uv run vlm analyze                 # Detect gaps/duplicates
uv run vlm plan                    # Generate execution plan
uv run vlm plan --analysis analysis.json  # Generate plan with duplicate resolution
uv run vlm execute                 # Dry-run (default)
uv run vlm execute --confirm       # Actually execute
uv run vlm rollback                # Undo executed operations

# Reporting
uv run vlm report summary          # Overview statistics
uv run vlm report inventory        # File inventory
uv run vlm report completeness     # Series with missing episodes
uv run vlm report duplicates       # Duplicate files with quality comparison

# Quarantine management
uv run vlm quarantine list         # List quarantined files
uv run vlm quarantine add <file> --reason "duplicate"
uv run vlm quarantine restore <file>

# State management
uv run vlm state show <file>
uv run vlm state set <file> --status reviewed

Architecture

Core Workflow

VLM follows a read-first, multi-stage pipeline:

1. Scan → discovers video files, extracts metadata via ffprobe (optional), saves to inventory.csv
2. Parse → extracts titles/years/seasons/episodes from filenames, saves to identities.json
   • Use --inventory inventory.csv to embed video metadata (v2 schema) for accurate duplicate resolution by quality
   • Without --inventory, produces v1 schema (lightweight, no embedded metadata)
3. Enrich (optional) → adds bilingual titles and reputation (TMDB); updates identities.json in place; uses SQLite cache for incremental runs
4. Analyze → detects episode gaps and duplicates, saves to analysis.json
5. Plan → generates reviewable execution plan (plan.json) with file operations
6. Execute → performs file operations (dry-run by default, --confirm to execute)
7. Rollback → reverses executed operations (best-effort)

Module Organization

• cli.py - Click-based CLI interface, global options, command registration
• context.py - CLIContext (config, paths) and pass_context for commands
• commands/ - Command implementations (scan, analyze, plan)
• scanner.py - File discovery using system find command, metadata extraction via ffprobe
• parser.py - Filename parsing using regex patterns (movies: title + year, series: SxxExx)
• enrichment.py - Enrichment pipeline; cache.py - SQLite cache; providers/ - TMDB etc.
• io.py - Load/save identities JSON/CSV, plan/analysis input helpers
• utils.py - UTC time, format_size, shared helpers
• analysis.py - Completeness checking (episode gaps) and duplicate detection
• duplicate_resolve.py - Duplicate group resolution (by_quality, by_reputation, first_seen, manual)
• planner.py - Execution plan generation with conflict detection
• executor.py - File operations (move/rename/quarantine) with rollback logging
• quarantine.py - Quarantine management with manifest tracking
• state.py - File state tracking across workflow stages
• reports.py - Report generation (inventory, completeness, duplicates, summary)
• config.py - YAML configuration loading and validation
• models.py - Dataclass definitions for all data structures
• logging_config.py - Logging setup with fallback to console if file logging fails

Key Data Structures

All defined in models.py:

• VideoFile - represents discovered video file with metadata
• MovieIdentity / SeriesIdentity - parsed identity with confidence score
• ExecutionPlan - collection of file operations with summary
• FileOperation - single operation (move/rename/quarantine/no-op) with conflict detection
• RollbackLog - log of executed operations for reversal
• QuarantineEntry - quarantined file with original location
• FileState - workflow state (reviewed/ignored/planned/executed/quarantined)

File Categorization

Based on top-level directory within library root, matched against configured category mappings (case-insensitive).

Files in unmapped directories are categorized as "other" and skipped by planner/quarantine operations.

Parsing Patterns (Hardcoded)

Movies (high confidence):

• {title} ({year})
• {title}.{year}

Series (high confidence):

• S{season:02d}E{episode:02d}
• {season}x{episode}

Patterns are hardcoded in parser.py, not user-configurable.

Configuration

Default location: ~/.vlm/config.yaml

Key settings:

• library_root - root directory to scan (required)
• video_extensions - list of extensions to recognize
• templates.movie_dir / templates.series_dir - directory structure templates
• templates.movie_filename / templates.series_filename - filename templates
• quarantine_dir - name of quarantine directory (default: .quarantine)
• log_level - logging verbosity
• categories - mapping of category names to directory name lists
• enrichment (or enrich) - TMDB/api_keys, cache_db, translation, reputation; see README for full schema
• plan.duplicate_keep - when using vlm plan --analysis: by_quality (resolution > source > codec > size), by_reputation (default), first_seen, or manual

Category Mappings

Categories are determined by matching the top-level directory name against configured mappings:

Default mappings:

categories:
  movie: [movie]
  series: [series]
  anime: [anime]

Custom mappings support multiple directory names per category:

categories:
  movie: [movie, movies, films]
  series: [series, tv, shows, television]
  anime: [anime]

This allows files in /library/movies/ or /library/films/ to be recognized as the "movie" category. Directory matching is case-insensitive.

Migration Note: If you have existing directories with non-standard names (like "movies" or "tv"), update your config.yaml and re-run vlm scan to fix categorization. No files will be moved.

Schema Versioning

identities.json Schema Versions:

• v1 (default without --inventory): Lightweight schema without embedded metadata

  • Records contain: path, filename, category, title, year/season/episodes, confidence, needs_review
  • VideoFile objects reconstructed with defaults: size_bytes=0, resolution=None, codec=None
  • Suitable for basic organization workflows

• v2 (with --inventory): Enhanced schema with embedded video metadata

  • All v1 fields plus video_metadata object containing:
    • size_bytes, modified_timestamp, resolution, codec, duration_seconds, bitrate_kbps
  • Enables accurate duplicate resolution by quality (compare resolution, codec, file size)
  • Required for by_quality duplicate resolution strategy
  • Backward compatible: v1 files load without errors

Implementation Details:

• _video_file_from_record() in io.py extracts embedded metadata if present
• Parse command with --inventory flag loads inventory.csv and embeds metadata in output
• Schema version stored in vlm_schema_version field at root level of identities.json

File Discovery

Uses system find command for speed, falls back to Python recursion if unavailable. Hidden paths (starting with .) are skipped automatically.

Timestamp Handling

All timestamps stored in UTC using ISO 8601 format (YYYY-MM-DDTHH:MM:SS). The scanner normalizes naive timestamps to UTC using system timezone.

Logging

Logs to ~/.vlm/vlm.log by default. If log directory is unwritable, falls back to console-only logging and continues execution (does not fail).

Error Handling

• Configuration errors: display helpful message, create default config, continue
• Missing ffprobe: skip metadata extraction, log debug message, continue
• File access errors: log error, skip file, continue scanning
• Invalid YAML: display error, use default config

Testing Guidelines

• Framework: pytest with hypothesis for property-based tests
• Test file naming: test_*.py
• Test function naming: test_*
• Test class naming: Test*
• Use CliRunner for CLI integration tests
• Prefer narrow unit tests for module logic plus targeted CLI integration tests
• Add tests with each behavior change, including error paths and edge cases

Important Implementation Notes

Safety Protocol

• NEVER permanently delete files - use quarantine instead
• All file operations create rollback logs when executed with --confirm
• Execution plans detect destination conflicts and mark operations
• Default mode is dry-run; --confirm required for actual execution
• Quarantine is reversible via restore command

Anime Handling

Anime files are discovered and categorized but NOT parsed in v1 (deferred for future implementation).

State Management

State tracking is optional and allows marking files as reviewed/ignored/planned/executed/quarantined. State is persisted to ~/.vlm/state.json.

Quarantine Constraints

Only movie and series files can be quarantined in v1 (anime and other categories rejected).

Template Variables

Available for path/filename templates:

• Movies: {title}, {year}, {ext}
• Series: {title}, {season}, {episode}, {ext}

Format specifiers like {season:02d} are supported.

Code Style

• Python 3.10+ idioms
• 4-space indentation
• PEP 8 naming: snake_case for functions/variables, PascalCase for classes, UPPER_SNAKE_CASE for constants
• Type hints for public functions and non-trivial internal APIs
• Modules focused on single responsibility
• No formatter/linter enforced - maintain consistency with existing files

Commit Guidelines

• Clear, imperative commit subjects (e.g., "fix logging fallback for unwritable log dir")
• Keep commits focused - avoid mixing refactors and behavior changes
• Include co-author tag: Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>