Release v1.9.0: Add video-comparer skill and enhance transcript-fixer
## New Skill: video-comparer v1.0.0 - Compare original and compressed videos with interactive HTML reports - Calculate quality metrics (PSNR, SSIM) for compression analysis - Generate frame-by-frame visual comparisons (slider, side-by-side, grid) - Extract video metadata (codec, resolution, bitrate, duration) - Multi-platform FFmpeg support with security features ## transcript-fixer Enhancements - Add async AI processor for parallel processing - Add connection pool management for database operations - Add concurrency manager and rate limiter - Add audit log retention and database migrations - Add health check and metrics monitoring - Add comprehensive test suite (8 new test files) - Enhance security with domain and path validators ## Marketplace Updates - Update marketplace version from 1.8.0 to 1.9.0 - Update skills count from 15 to 16 - Update documentation (README.md, CLAUDE.md, CHANGELOG.md) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
daymade
@@ -9,6 +9,7 @@ All cmd_* functions take parsed args and execute the requested operation.
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from __future__ import annotations
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import argparse
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import os
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import sys
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from pathlib import Path
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@@ -21,23 +22,27 @@ from core import (
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LearningEngine,
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)
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from utils import validate_configuration, print_validation_summary
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from utils.health_check import HealthChecker, CheckLevel, format_health_output
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from utils.metrics import get_metrics, format_metrics_summary
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from utils.config import get_config
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from utils.db_migrations_cli import create_migration_cli
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def _get_service():
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def _get_service() -> CorrectionService:
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"""Get configured CorrectionService instance."""
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config_dir = Path.home() / ".transcript-fixer"
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db_path = config_dir / "corrections.db"
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repository = CorrectionRepository(db_path)
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# P1-5 FIX: Use centralized configuration
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config = get_config()
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repository = CorrectionRepository(config.database.path)
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return CorrectionService(repository)
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def cmd_init(args):
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def cmd_init(args: argparse.Namespace) -> None:
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"""Initialize ~/.transcript-fixer/ directory"""
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service = _get_service()
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service.initialize()
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def cmd_add_correction(args):
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def cmd_add_correction(args: argparse.Namespace) -> None:
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"""Add a single correction"""
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service = _get_service()
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try:
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@@ -48,7 +53,7 @@ def cmd_add_correction(args):
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sys.exit(1)
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def cmd_list_corrections(args):
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def cmd_list_corrections(args: argparse.Namespace) -> None:
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"""List all corrections"""
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service = _get_service()
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corrections = service.get_corrections(args.domain)
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@@ -60,7 +65,7 @@ def cmd_list_corrections(args):
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print(f"\nTotal: {len(corrections)} corrections\n")
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def cmd_run_correction(args):
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def cmd_run_correction(args: argparse.Namespace) -> None:
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"""Run the correction workflow"""
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# Validate input file
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input_path = Path(args.input)
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@@ -142,12 +147,37 @@ def cmd_run_correction(args):
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changes=stage1_changes + stage2_changes
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)
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# TODO: Run learning engine
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# learning = LearningEngine(...)
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# suggestions = learning.analyze_and_suggest()
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# if suggestions:
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# print(f"🎓 Learning: Found {len(suggestions)} new correction suggestions")
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# print(f" Run --review-learned to review them\n")
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# Run learning engine - AUTO-LEARN from AI results!
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if stage2_changes:
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print("=" * 60)
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print("🎓 Learning System: Analyzing AI Corrections")
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print("=" * 60)
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config_dir = Path.home() / ".transcript-fixer"
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learning = LearningEngine(
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history_dir=config_dir / "history",
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learned_dir=config_dir / "learned",
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correction_service=service
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)
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stats = learning.analyze_and_auto_approve(stage2_changes, args.domain)
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print(f"📊 Analysis Results:")
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print(f" Total changes: {stats['total_changes']}")
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print(f" Unique patterns: {stats['unique_patterns']}")
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if stats['auto_approved'] > 0:
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print(f" ✅ Auto-approved: {stats['auto_approved']} patterns")
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print(f" (Added to dictionary for next run)")
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if stats['pending_review'] > 0:
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print(f" ⏳ Pending review: {stats['pending_review']} patterns")
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print(f" (Run --review-learned to approve manually)")
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if stats.get('savings_potential'):
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print(f"\n 💰 {stats['savings_potential']}")
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print()
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# Stage 3: Generate diff report
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if args.stage >= 3:
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@@ -159,23 +189,306 @@ def cmd_run_correction(args):
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print("✅ Correction complete!")
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def cmd_review_learned(args):
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def cmd_review_learned(args: argparse.Namespace) -> None:
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"""Review learned suggestions"""
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# TODO: Implement learning engine with SQLite backend
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print("⚠️ Learning engine not yet implemented with SQLite backend")
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print(" This feature will be added in a future update")
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def cmd_approve(args):
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def cmd_approve(args: argparse.Namespace) -> None:
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"""Approve a learned suggestion"""
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# TODO: Implement learning engine with SQLite backend
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print("⚠️ Learning engine not yet implemented with SQLite backend")
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print(" This feature will be added in a future update")
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def cmd_validate(args):
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def cmd_validate(args: argparse.Namespace) -> None:
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"""Validate configuration and JSON files"""
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errors, warnings = validate_configuration()
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exit_code = print_validation_summary(errors, warnings)
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if exit_code != 0:
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sys.exit(exit_code)
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def cmd_health(args: argparse.Namespace) -> None:
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"""
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Perform system health check
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CRITICAL FIX (P1-4): Production-grade health monitoring
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"""
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# Parse check level
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level_map = {
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'basic': CheckLevel.BASIC,
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'standard': CheckLevel.STANDARD,
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'deep': CheckLevel.DEEP
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}
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level = level_map.get(args.level, CheckLevel.STANDARD)
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# Run health check
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checker = HealthChecker()
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health = checker.check_health(level=level)
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# Output format
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if args.format == 'json':
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print(health.to_json())
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else:
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output = format_health_output(health, verbose=args.verbose)
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print(output)
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# Exit with appropriate code
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if health.status.value == 'unhealthy':
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sys.exit(1)
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elif health.status.value == 'degraded':
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sys.exit(2)
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else:
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sys.exit(0)
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def cmd_metrics(args: argparse.Namespace) -> None:
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"""
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Display collected metrics
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CRITICAL FIX (P1-7): Production-grade metrics and observability
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"""
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metrics = get_metrics()
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# Output format
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if args.format == 'json':
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print(metrics.to_json())
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elif args.format == 'prometheus':
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print(metrics.to_prometheus())
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else:
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# Text summary
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summary = metrics.get_summary()
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output = format_metrics_summary(summary)
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print(output)
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def cmd_config(args: argparse.Namespace) -> None:
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"""
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Configuration management commands
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CRITICAL FIX (P1-5): Production-grade configuration management
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"""
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from utils.config import create_example_config, Environment
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if args.action == 'show':
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# Display current configuration
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config = get_config()
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output = {
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'environment': config.environment.value,
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'database_path': str(config.database.path),
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'config_dir': str(config.paths.config_dir),
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'api_key_set': config.api.api_key is not None,
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'debug': config.debug,
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'features': {
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'learning': config.features.enable_learning,
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'metrics': config.features.enable_metrics,
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'health_checks': config.features.enable_health_checks,
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'rate_limiting': config.features.enable_rate_limiting,
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'caching': config.features.enable_caching,
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'auto_approval': config.features.enable_auto_approval,
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}
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}
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print('Current Configuration:')
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for key, value in output.items():
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print(f' {key}: {value}')
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elif args.action == 'create-example':
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# Create example config file
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output_path = Path(args.path) if args.path else get_config().paths.config_dir / 'config.json'
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create_example_config(output_path)
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print(f'Example config created: {output_path}')
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elif args.action == 'validate':
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# Validate configuration
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config = get_config()
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errors, warnings = config.validate()
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print('Configuration Validation:')
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if errors:
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print(' Errors:')
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for error in errors:
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print(f' ❌ {error}')
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sys.exit(1)
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if warnings:
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print(' Warnings:')
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for warning in warnings:
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print(f' ⚠️ {warning}')
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if not errors and not warnings:
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print(' ✅ Configuration is valid')
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sys.exit(0 if not errors else 1)
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elif args.action == 'set-env':
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# Set environment
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if args.env not in [e.value for e in Environment]:
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print(f'Invalid environment: {args.env}')
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print(f'Valid environments: {", ".join(e.value for e in Environment)}')
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sys.exit(1)
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print(f'Environment set to: {args.env}')
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print('To make this permanent, set TRANSCRIPT_FIXER_ENV environment variable:')
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def cmd_migration(args: argparse.Namespace) -> None:
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"""
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Database migration commands (P1-6 fix)
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CRITICAL FIX (P1-6): Production database migration system
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"""
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migration_cli = create_migration_cli()
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if args.action == 'status':
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migration_cli.cmd_status(args)
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elif args.action == 'history':
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migration_cli.cmd_history(args)
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elif args.action == 'migrate':
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migration_cli.cmd_migrate(args)
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elif args.action == 'rollback':
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migration_cli.cmd_rollback(args)
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elif args.action == 'plan':
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migration_cli.cmd_plan(args)
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elif args.action == 'validate':
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migration_cli.cmd_validate(args)
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elif args.action == 'create':
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migration_cli.cmd_create_migration(args)
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else:
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print("Unknown migration action")
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sys.exit(1)
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def cmd_audit_retention(args: argparse.Namespace) -> None:
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"""
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Audit log retention management commands (P1-11 fix)
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CRITICAL FIX (P1-11): Production-grade audit log retention and compliance
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"""
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from utils.audit_log_retention import get_retention_manager
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import json
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# Get retention manager with configured database path
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config = get_config()
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manager = get_retention_manager(config.database.path)
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if args.action == 'cleanup':
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# Clean up expired audit logs
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entity_type = getattr(args, 'entity_type', None)
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dry_run = getattr(args, 'dry_run', False)
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if dry_run:
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print("🔍 DRY RUN MODE - No actual changes will be made\n")
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print("🧹 Cleaning up expired audit logs...")
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results = manager.cleanup_expired_logs(entity_type=entity_type, dry_run=dry_run)
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if not results:
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print("ℹ️ No cleanup operations performed (permanent retention or no expired logs)")
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return
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print("\n📊 Cleanup Results:")
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print("=" * 70)
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for result in results:
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status = "✅ Success" if result.success else "❌ Failed"
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print(f"\n{result.entity_type}: {status}")
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print(f" Scanned: {result.records_scanned}")
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print(f" Deleted: {result.records_deleted}")
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print(f" Archived: {result.records_archived}")
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print(f" Anonymized: {result.records_anonymized}")
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print(f" Execution time: {result.execution_time_ms}ms")
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if result.errors:
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print(f" Errors: {', '.join(result.errors)}")
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print()
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elif args.action == 'report':
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# Generate compliance report
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print("📋 Generating compliance report...\n")
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report = manager.generate_compliance_report()
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print("=" * 70)
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print("AUDIT LOG COMPLIANCE REPORT")
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print("=" * 70)
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print(f"Report Date: {report.report_date.strftime('%Y-%m-%d %H:%M:%S')}")
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print(f"Compliance Status: {'✅ COMPLIANT' if report.is_compliant else '❌ NON-COMPLIANT'}")
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print(f"\nTotal Audit Logs: {report.total_audit_logs:,}")
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if report.oldest_log_date:
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print(f"Oldest Log: {report.oldest_log_date.strftime('%Y-%m-%d %H:%M:%S')}")
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if report.newest_log_date:
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print(f"Newest Log: {report.newest_log_date.strftime('%Y-%m-%d %H:%M:%S')}")
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print(f"\nStorage: {report.storage_size_mb:.2f} MB")
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print(f"Archived Files: {report.archived_logs_count}")
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print("\nLogs by Entity Type:")
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for entity_type, count in sorted(report.logs_by_entity_type.items()):
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print(f" {entity_type}: {count:,}")
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if report.retention_violations:
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print("\n⚠️ Retention Violations:")
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for violation in report.retention_violations:
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print(f" • {violation}")
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print("\nRun 'audit-retention cleanup' to resolve violations")
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print()
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# JSON output option
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if getattr(args, 'format', 'text') == 'json':
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print(json.dumps(report.to_dict(), indent=2))
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elif args.action == 'policies':
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# Show retention policies
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print("📜 Retention Policies:")
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print("=" * 70)
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policies = manager.load_retention_policies()
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for entity_type, policy in sorted(policies.items()):
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status = "✅ Active" if policy.is_active else "❌ Inactive"
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days_str = "PERMANENT" if policy.retention_days == -1 else f"{policy.retention_days} days"
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print(f"\n{entity_type}: {status}")
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print(f" Retention: {days_str}")
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print(f" Strategy: {policy.strategy.value.upper()}")
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if policy.critical_action_retention_days:
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crit_days = policy.critical_action_retention_days
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print(f" Critical Actions: {crit_days} days (extended)")
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if policy.description:
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print(f" Description: {policy.description}")
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print()
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elif args.action == 'restore':
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# Restore from archive
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archive_file = Path(getattr(args, 'archive_file', ''))
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if not archive_file:
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print("❌ Error: --archive-file required for restore action")
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sys.exit(1)
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if not archive_file.exists():
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print(f"❌ Error: Archive file not found: {archive_file}")
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sys.exit(1)
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verify_only = getattr(args, 'verify_only', False)
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if verify_only:
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print(f"🔍 Verifying archive: {archive_file.name}")
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count = manager.restore_from_archive(archive_file, verify_only=True)
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print(f"✅ Archive is valid: contains {count} log entries")
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else:
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print(f"📦 Restoring from archive: {archive_file.name}")
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count = manager.restore_from_archive(archive_file, verify_only=False)
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print(f"✅ Restored {count} log entries")
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print()
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else:
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print(f"❌ Unknown audit-retention action: {args.action}")
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print("Valid actions: cleanup, report, policies, restore")
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sys.exit(1)
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