9b724f33e3
## 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>
495 lines
17 KiB
Python
495 lines
17 KiB
Python
#!/usr/bin/env python3
|
||
"""
|
||
CLI Commands - Command Handler Functions
|
||
|
||
SINGLE RESPONSIBILITY: Handle CLI command execution
|
||
|
||
All cmd_* functions take parsed args and execute the requested operation.
|
||
"""
|
||
|
||
from __future__ import annotations
|
||
|
||
import argparse
|
||
import os
|
||
import sys
|
||
from pathlib import Path
|
||
|
||
from core import (
|
||
CorrectionRepository,
|
||
CorrectionService,
|
||
DictionaryProcessor,
|
||
AIProcessor,
|
||
LearningEngine,
|
||
)
|
||
from utils import validate_configuration, print_validation_summary
|
||
from utils.health_check import HealthChecker, CheckLevel, format_health_output
|
||
from utils.metrics import get_metrics, format_metrics_summary
|
||
from utils.config import get_config
|
||
from utils.db_migrations_cli import create_migration_cli
|
||
|
||
|
||
def _get_service() -> CorrectionService:
|
||
"""Get configured CorrectionService instance."""
|
||
# P1-5 FIX: Use centralized configuration
|
||
config = get_config()
|
||
repository = CorrectionRepository(config.database.path)
|
||
return CorrectionService(repository)
|
||
|
||
|
||
def cmd_init(args: argparse.Namespace) -> None:
|
||
"""Initialize ~/.transcript-fixer/ directory"""
|
||
service = _get_service()
|
||
service.initialize()
|
||
|
||
|
||
def cmd_add_correction(args: argparse.Namespace) -> None:
|
||
"""Add a single correction"""
|
||
service = _get_service()
|
||
try:
|
||
service.add_correction(args.from_text, args.to_text, args.domain)
|
||
print(f"✅ Added: '{args.from_text}' → '{args.to_text}' (domain: {args.domain})")
|
||
except Exception as e:
|
||
print(f"❌ Error: {e}")
|
||
sys.exit(1)
|
||
|
||
|
||
def cmd_list_corrections(args: argparse.Namespace) -> None:
|
||
"""List all corrections"""
|
||
service = _get_service()
|
||
corrections = service.get_corrections(args.domain)
|
||
|
||
print(f"\n📋 Corrections (domain: {args.domain})")
|
||
print("=" * 60)
|
||
for wrong, correct in sorted(corrections.items()):
|
||
print(f" '{wrong}' → '{correct}'")
|
||
print(f"\nTotal: {len(corrections)} corrections\n")
|
||
|
||
|
||
def cmd_run_correction(args: argparse.Namespace) -> None:
|
||
"""Run the correction workflow"""
|
||
# Validate input file
|
||
input_path = Path(args.input)
|
||
if not input_path.exists():
|
||
print(f"❌ Error: File not found: {input_path}")
|
||
sys.exit(1)
|
||
|
||
# Setup output directory
|
||
output_dir = Path(args.output) if args.output else input_path.parent
|
||
output_dir.mkdir(parents=True, exist_ok=True)
|
||
|
||
# Initialize service
|
||
service = _get_service()
|
||
|
||
# Load corrections and rules
|
||
corrections = service.get_corrections(args.domain)
|
||
context_rules = service.load_context_rules()
|
||
|
||
# Read input file
|
||
print(f"📖 Reading: {input_path.name}")
|
||
with open(input_path, 'r', encoding='utf-8') as f:
|
||
original_text = f.read()
|
||
print(f" File size: {len(original_text):,} characters\n")
|
||
|
||
# Stage 1: Dictionary corrections
|
||
stage1_changes = []
|
||
stage1_text = original_text
|
||
if args.stage >= 1:
|
||
print("=" * 60)
|
||
print("🔧 Stage 1: Dictionary Corrections")
|
||
print("=" * 60)
|
||
|
||
processor = DictionaryProcessor(corrections, context_rules)
|
||
stage1_text, stage1_changes = processor.process(original_text)
|
||
|
||
summary = processor.get_summary(stage1_changes)
|
||
print(f"✓ Applied {summary['total_changes']} corrections")
|
||
print(f" - Dictionary: {summary['dictionary_changes']}")
|
||
print(f" - Context rules: {summary['context_rule_changes']}")
|
||
|
||
stage1_file = output_dir / f"{input_path.stem}_stage1.md"
|
||
with open(stage1_file, 'w', encoding='utf-8') as f:
|
||
f.write(stage1_text)
|
||
print(f"💾 Saved: {stage1_file.name}\n")
|
||
|
||
# Stage 2: AI corrections
|
||
stage2_changes = []
|
||
stage2_text = stage1_text
|
||
if args.stage >= 2:
|
||
print("=" * 60)
|
||
print("🤖 Stage 2: AI Corrections")
|
||
print("=" * 60)
|
||
|
||
# Check API key
|
||
api_key = os.environ.get("GLM_API_KEY")
|
||
if not api_key:
|
||
print("❌ Error: GLM_API_KEY environment variable not set")
|
||
print(" Set it with: export GLM_API_KEY='your-key'")
|
||
sys.exit(1)
|
||
|
||
ai_processor = AIProcessor(api_key)
|
||
stage2_text, stage2_changes = ai_processor.process(stage1_text)
|
||
|
||
print(f"✓ Processed {len(stage2_changes)} chunks\n")
|
||
|
||
stage2_file = output_dir / f"{input_path.stem}_stage2.md"
|
||
with open(stage2_file, 'w', encoding='utf-8') as f:
|
||
f.write(stage2_text)
|
||
print(f"💾 Saved: {stage2_file.name}\n")
|
||
|
||
# Save history for learning
|
||
service.save_history(
|
||
filename=str(input_path),
|
||
domain=args.domain,
|
||
original_length=len(original_text),
|
||
stage1_changes=len(stage1_changes),
|
||
stage2_changes=len(stage2_changes),
|
||
model="GLM-4.6",
|
||
changes=stage1_changes + stage2_changes
|
||
)
|
||
|
||
# Run learning engine - AUTO-LEARN from AI results!
|
||
if stage2_changes:
|
||
print("=" * 60)
|
||
print("🎓 Learning System: Analyzing AI Corrections")
|
||
print("=" * 60)
|
||
|
||
config_dir = Path.home() / ".transcript-fixer"
|
||
learning = LearningEngine(
|
||
history_dir=config_dir / "history",
|
||
learned_dir=config_dir / "learned",
|
||
correction_service=service
|
||
)
|
||
|
||
stats = learning.analyze_and_auto_approve(stage2_changes, args.domain)
|
||
|
||
print(f"📊 Analysis Results:")
|
||
print(f" Total changes: {stats['total_changes']}")
|
||
print(f" Unique patterns: {stats['unique_patterns']}")
|
||
|
||
if stats['auto_approved'] > 0:
|
||
print(f" ✅ Auto-approved: {stats['auto_approved']} patterns")
|
||
print(f" (Added to dictionary for next run)")
|
||
|
||
if stats['pending_review'] > 0:
|
||
print(f" ⏳ Pending review: {stats['pending_review']} patterns")
|
||
print(f" (Run --review-learned to approve manually)")
|
||
|
||
if stats.get('savings_potential'):
|
||
print(f"\n 💰 {stats['savings_potential']}")
|
||
|
||
print()
|
||
|
||
# Stage 3: Generate diff report
|
||
if args.stage >= 3:
|
||
print("=" * 60)
|
||
print("📊 Stage 3: Generating Diff Report")
|
||
print("=" * 60)
|
||
print(" Use diff_generator.py to create visual comparison\n")
|
||
|
||
print("✅ Correction complete!")
|
||
|
||
|
||
def cmd_review_learned(args: argparse.Namespace) -> None:
|
||
"""Review learned suggestions"""
|
||
# TODO: Implement learning engine with SQLite backend
|
||
print("⚠️ Learning engine not yet implemented with SQLite backend")
|
||
print(" This feature will be added in a future update")
|
||
|
||
|
||
def cmd_approve(args: argparse.Namespace) -> None:
|
||
"""Approve a learned suggestion"""
|
||
# TODO: Implement learning engine with SQLite backend
|
||
print("⚠️ Learning engine not yet implemented with SQLite backend")
|
||
print(" This feature will be added in a future update")
|
||
|
||
|
||
def cmd_validate(args: argparse.Namespace) -> None:
|
||
"""Validate configuration and JSON files"""
|
||
errors, warnings = validate_configuration()
|
||
exit_code = print_validation_summary(errors, warnings)
|
||
if exit_code != 0:
|
||
sys.exit(exit_code)
|
||
|
||
|
||
def cmd_health(args: argparse.Namespace) -> None:
|
||
"""
|
||
Perform system health check
|
||
|
||
CRITICAL FIX (P1-4): Production-grade health monitoring
|
||
"""
|
||
# Parse check level
|
||
level_map = {
|
||
'basic': CheckLevel.BASIC,
|
||
'standard': CheckLevel.STANDARD,
|
||
'deep': CheckLevel.DEEP
|
||
}
|
||
level = level_map.get(args.level, CheckLevel.STANDARD)
|
||
|
||
# Run health check
|
||
checker = HealthChecker()
|
||
health = checker.check_health(level=level)
|
||
|
||
# Output format
|
||
if args.format == 'json':
|
||
print(health.to_json())
|
||
else:
|
||
output = format_health_output(health, verbose=args.verbose)
|
||
print(output)
|
||
|
||
# Exit with appropriate code
|
||
if health.status.value == 'unhealthy':
|
||
sys.exit(1)
|
||
elif health.status.value == 'degraded':
|
||
sys.exit(2)
|
||
else:
|
||
sys.exit(0)
|
||
|
||
|
||
def cmd_metrics(args: argparse.Namespace) -> None:
|
||
"""
|
||
Display collected metrics
|
||
|
||
CRITICAL FIX (P1-7): Production-grade metrics and observability
|
||
"""
|
||
metrics = get_metrics()
|
||
|
||
# Output format
|
||
if args.format == 'json':
|
||
print(metrics.to_json())
|
||
elif args.format == 'prometheus':
|
||
print(metrics.to_prometheus())
|
||
else:
|
||
# Text summary
|
||
summary = metrics.get_summary()
|
||
output = format_metrics_summary(summary)
|
||
print(output)
|
||
|
||
|
||
def cmd_config(args: argparse.Namespace) -> None:
|
||
"""
|
||
Configuration management commands
|
||
|
||
CRITICAL FIX (P1-5): Production-grade configuration management
|
||
"""
|
||
from utils.config import create_example_config, Environment
|
||
|
||
if args.action == 'show':
|
||
# Display current configuration
|
||
config = get_config()
|
||
output = {
|
||
'environment': config.environment.value,
|
||
'database_path': str(config.database.path),
|
||
'config_dir': str(config.paths.config_dir),
|
||
'api_key_set': config.api.api_key is not None,
|
||
'debug': config.debug,
|
||
'features': {
|
||
'learning': config.features.enable_learning,
|
||
'metrics': config.features.enable_metrics,
|
||
'health_checks': config.features.enable_health_checks,
|
||
'rate_limiting': config.features.enable_rate_limiting,
|
||
'caching': config.features.enable_caching,
|
||
'auto_approval': config.features.enable_auto_approval,
|
||
}
|
||
}
|
||
print('Current Configuration:')
|
||
for key, value in output.items():
|
||
print(f' {key}: {value}')
|
||
|
||
elif args.action == 'create-example':
|
||
# Create example config file
|
||
output_path = Path(args.path) if args.path else get_config().paths.config_dir / 'config.json'
|
||
create_example_config(output_path)
|
||
print(f'Example config created: {output_path}')
|
||
|
||
elif args.action == 'validate':
|
||
# Validate configuration
|
||
config = get_config()
|
||
errors, warnings = config.validate()
|
||
|
||
print('Configuration Validation:')
|
||
if errors:
|
||
print(' Errors:')
|
||
for error in errors:
|
||
print(f' ❌ {error}')
|
||
sys.exit(1)
|
||
if warnings:
|
||
print(' Warnings:')
|
||
for warning in warnings:
|
||
print(f' ⚠️ {warning}')
|
||
if not errors and not warnings:
|
||
print(' ✅ Configuration is valid')
|
||
sys.exit(0 if not errors else 1)
|
||
|
||
elif args.action == 'set-env':
|
||
# Set environment
|
||
if args.env not in [e.value for e in Environment]:
|
||
print(f'Invalid environment: {args.env}')
|
||
print(f'Valid environments: {", ".join(e.value for e in Environment)}')
|
||
sys.exit(1)
|
||
|
||
print(f'Environment set to: {args.env}')
|
||
print('To make this permanent, set TRANSCRIPT_FIXER_ENV environment variable:')
|
||
|
||
|
||
def cmd_migration(args: argparse.Namespace) -> None:
|
||
"""
|
||
Database migration commands (P1-6 fix)
|
||
|
||
CRITICAL FIX (P1-6): Production database migration system
|
||
"""
|
||
migration_cli = create_migration_cli()
|
||
|
||
if args.action == 'status':
|
||
migration_cli.cmd_status(args)
|
||
elif args.action == 'history':
|
||
migration_cli.cmd_history(args)
|
||
elif args.action == 'migrate':
|
||
migration_cli.cmd_migrate(args)
|
||
elif args.action == 'rollback':
|
||
migration_cli.cmd_rollback(args)
|
||
elif args.action == 'plan':
|
||
migration_cli.cmd_plan(args)
|
||
elif args.action == 'validate':
|
||
migration_cli.cmd_validate(args)
|
||
elif args.action == 'create':
|
||
migration_cli.cmd_create_migration(args)
|
||
else:
|
||
print("Unknown migration action")
|
||
sys.exit(1)
|
||
|
||
|
||
def cmd_audit_retention(args: argparse.Namespace) -> None:
|
||
"""
|
||
Audit log retention management commands (P1-11 fix)
|
||
|
||
CRITICAL FIX (P1-11): Production-grade audit log retention and compliance
|
||
"""
|
||
from utils.audit_log_retention import get_retention_manager
|
||
import json
|
||
|
||
# Get retention manager with configured database path
|
||
config = get_config()
|
||
manager = get_retention_manager(config.database.path)
|
||
|
||
if args.action == 'cleanup':
|
||
# Clean up expired audit logs
|
||
entity_type = getattr(args, 'entity_type', None)
|
||
dry_run = getattr(args, 'dry_run', False)
|
||
|
||
if dry_run:
|
||
print("🔍 DRY RUN MODE - No actual changes will be made\n")
|
||
|
||
print("🧹 Cleaning up expired audit logs...")
|
||
results = manager.cleanup_expired_logs(entity_type=entity_type, dry_run=dry_run)
|
||
|
||
if not results:
|
||
print("ℹ️ No cleanup operations performed (permanent retention or no expired logs)")
|
||
return
|
||
|
||
print("\n📊 Cleanup Results:")
|
||
print("=" * 70)
|
||
|
||
for result in results:
|
||
status = "✅ Success" if result.success else "❌ Failed"
|
||
print(f"\n{result.entity_type}: {status}")
|
||
print(f" Scanned: {result.records_scanned}")
|
||
print(f" Deleted: {result.records_deleted}")
|
||
print(f" Archived: {result.records_archived}")
|
||
print(f" Anonymized: {result.records_anonymized}")
|
||
print(f" Execution time: {result.execution_time_ms}ms")
|
||
|
||
if result.errors:
|
||
print(f" Errors: {', '.join(result.errors)}")
|
||
|
||
print()
|
||
|
||
elif args.action == 'report':
|
||
# Generate compliance report
|
||
print("📋 Generating compliance report...\n")
|
||
report = manager.generate_compliance_report()
|
||
|
||
print("=" * 70)
|
||
print("AUDIT LOG COMPLIANCE REPORT")
|
||
print("=" * 70)
|
||
print(f"Report Date: {report.report_date.strftime('%Y-%m-%d %H:%M:%S')}")
|
||
print(f"Compliance Status: {'✅ COMPLIANT' if report.is_compliant else '❌ NON-COMPLIANT'}")
|
||
print(f"\nTotal Audit Logs: {report.total_audit_logs:,}")
|
||
|
||
if report.oldest_log_date:
|
||
print(f"Oldest Log: {report.oldest_log_date.strftime('%Y-%m-%d %H:%M:%S')}")
|
||
if report.newest_log_date:
|
||
print(f"Newest Log: {report.newest_log_date.strftime('%Y-%m-%d %H:%M:%S')}")
|
||
|
||
print(f"\nStorage: {report.storage_size_mb:.2f} MB")
|
||
print(f"Archived Files: {report.archived_logs_count}")
|
||
|
||
print("\nLogs by Entity Type:")
|
||
for entity_type, count in sorted(report.logs_by_entity_type.items()):
|
||
print(f" {entity_type}: {count:,}")
|
||
|
||
if report.retention_violations:
|
||
print("\n⚠️ Retention Violations:")
|
||
for violation in report.retention_violations:
|
||
print(f" • {violation}")
|
||
print("\nRun 'audit-retention cleanup' to resolve violations")
|
||
|
||
print()
|
||
|
||
# JSON output option
|
||
if getattr(args, 'format', 'text') == 'json':
|
||
print(json.dumps(report.to_dict(), indent=2))
|
||
|
||
elif args.action == 'policies':
|
||
# Show retention policies
|
||
print("📜 Retention Policies:")
|
||
print("=" * 70)
|
||
|
||
policies = manager.load_retention_policies()
|
||
|
||
for entity_type, policy in sorted(policies.items()):
|
||
status = "✅ Active" if policy.is_active else "❌ Inactive"
|
||
days_str = "PERMANENT" if policy.retention_days == -1 else f"{policy.retention_days} days"
|
||
|
||
print(f"\n{entity_type}: {status}")
|
||
print(f" Retention: {days_str}")
|
||
print(f" Strategy: {policy.strategy.value.upper()}")
|
||
|
||
if policy.critical_action_retention_days:
|
||
crit_days = policy.critical_action_retention_days
|
||
print(f" Critical Actions: {crit_days} days (extended)")
|
||
|
||
if policy.description:
|
||
print(f" Description: {policy.description}")
|
||
|
||
print()
|
||
|
||
elif args.action == 'restore':
|
||
# Restore from archive
|
||
archive_file = Path(getattr(args, 'archive_file', ''))
|
||
|
||
if not archive_file:
|
||
print("❌ Error: --archive-file required for restore action")
|
||
sys.exit(1)
|
||
|
||
if not archive_file.exists():
|
||
print(f"❌ Error: Archive file not found: {archive_file}")
|
||
sys.exit(1)
|
||
|
||
verify_only = getattr(args, 'verify_only', False)
|
||
|
||
if verify_only:
|
||
print(f"🔍 Verifying archive: {archive_file.name}")
|
||
count = manager.restore_from_archive(archive_file, verify_only=True)
|
||
print(f"✅ Archive is valid: contains {count} log entries")
|
||
else:
|
||
print(f"📦 Restoring from archive: {archive_file.name}")
|
||
count = manager.restore_from_archive(archive_file, verify_only=False)
|
||
print(f"✅ Restored {count} log entries")
|
||
|
||
print()
|
||
|
||
else:
|
||
print(f"❌ Unknown audit-retention action: {args.action}")
|
||
print("Valid actions: cleanup, report, policies, restore")
|
||
sys.exit(1)
|