feat: implement Phase 4 - Schema Migration

Completed Phase 4 of the schema-of-schemas implementation with successful
migration of all legacy schemas to the new markdown format following the
naming convention.

Migration Script (scripts/migrate_schemas.py - 240 lines):
- Automated schema migration from JSON to markdown format
- Updates version and $id fields to follow conventions
- Generates proper frontmatter metadata
- Dry-run mode for safe testing
- Database cleanup functionality
- Comprehensive progress reporting

Schemas Migrated (2):
- terminology-schema.json → terminology-schema-v1.0.md
  - Fixed missing version field
  - Updated $id from /terminology-v1.json to /terminology/v1.0
  - Validates successfully against metaschema

- api-documentation → api-documentation-schema-v1.0.md
  - Added version: 1.0.0
  - Updated $id to follow /api-documentation/v1.0 format
  - Validates successfully against metaschema

Schemas Deleted (3):
- markdown-manpage (duplicate of manpage-schema-v1.0.md)
- markdown-manpage-schema.json (duplicate of manpage-schema-v1.0.md)
- enhanced-manpage (replaced by manpage-schema-v1.0.md)

CLI Enhancement (markitect/cli.py):
- Updated schema-ingest to support markdown (.md) files
- Auto-detects file type and uses MarkdownSchemaLoader for .md files
- Extracts JSON schema from markdown for database storage
- Maintains backward compatibility with JSON files

Final Schema Registry (4 schemas):
 terminology-schema-v1.0.md - Terminology validation
 api-documentation-schema-v1.0.md - API documentation structure
 manpage-schema-v1.0.md - Unix manual pages
 schema-schema-v1.0.md - Metaschema for validating schemas

All schemas:
- Follow naming convention: {domain}-schema-v{major}.{minor}.md
- Include proper frontmatter with schema-id, version, status
- Validate successfully against schema-schema-v1.0.md metaschema
- Stored in database and ready for use

Progress Tracking:
- Updated TODO.md with Phase 4 completion
- Updated CHANGELOG.md with migration details
- Next: Phase 5 - CLI & Documentation Updates

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-05 09:38:43 +01:00
parent f3aaec99bb
commit 60d9f7a2c3
6 changed files with 800 additions and 20 deletions

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scripts/migrate_schemas.py Executable file
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#!/usr/bin/env python3
"""
Migrate schemas to markdown format with versioning.
This script converts existing JSON schemas in the database to the new
markdown format following the naming convention: {domain}-schema-v{major}.{minor}.md
"""
import json
import sys
from pathlib import Path
# Add parent directory to path for imports
sys.path.insert(0, str(Path(__file__).parent.parent))
from markitect.database import DatabaseManager
from markitect.schema_loader import MarkdownSchemaLoader
def migrate_schema(
db_manager: DatabaseManager,
old_name: str,
new_filename: str,
version: str,
domain: str,
description: str,
dry_run: bool = False
):
"""
Migrate a single schema to new markdown format.
Args:
db_manager: Database manager instance
old_name: Name of old schema in database
new_filename: New filename following naming convention
version: SemVer version (major.minor.patch)
domain: Schema domain name
description: Brief schema description
dry_run: If True, don't save files
"""
print(f"\n{'[DRY RUN] ' if dry_run else ''}Migrating: {old_name}{new_filename}")
# Get old schema from database
old_schema_data = db_manager.get_schema_file(old_name)
if not old_schema_data:
print(f" ❌ Schema not found in database: {old_name}")
return None
# Parse schema JSON
try:
schema_json = json.loads(old_schema_data['schema_content'])
except json.JSONDecodeError as e:
print(f" ❌ Invalid JSON: {e}")
return None
# Update schema metadata
major, minor = version.split('.')[:2]
schema_json['version'] = version
schema_json['$id'] = f"https://markitect.dev/schemas/{domain}/v{major}.{minor}"
# Ensure required fields
if 'description' not in schema_json or not schema_json['description']:
schema_json['description'] = description
# Create frontmatter
frontmatter = {
'schema-id': schema_json['$id'],
'version': version,
'status': 'stable',
'domain': domain,
'description': description
}
if dry_run:
print(f" ✓ Would create: {new_filename}")
print(f" Version: {version}")
print(f" $id: {schema_json['$id']}")
return None
# Save as markdown
loader = MarkdownSchemaLoader()
md_path = Path(__file__).parent.parent / 'markitect' / 'schemas' / new_filename
loader.save_schema(
schema=schema_json,
md_path=md_path,
frontmatter=frontmatter
)
print(f" ✅ Created: {md_path}")
print(f" Version: {version}")
print(f" $id: {schema_json['$id']}")
return md_path
def cleanup_old_schema(db_manager: DatabaseManager, schema_name: str, dry_run: bool = False):
"""
Remove old schema from database.
Args:
db_manager: Database manager instance
schema_name: Name of schema to remove
dry_run: If True, don't actually delete
"""
if dry_run:
print(f" [DRY RUN] Would delete from database: {schema_name}")
return
success = db_manager.delete_schema_file(schema_name)
if success:
print(f" 🗑️ Deleted from database: {schema_name}")
else:
print(f" ⚠️ Failed to delete: {schema_name}")
def main():
"""Execute schema migration."""
import argparse
parser = argparse.ArgumentParser(description='Migrate schemas to markdown format')
parser.add_argument('--dry-run', action='store_true', help='Show what would be done without making changes')
parser.add_argument('--db', default='markitect.db', help='Database path')
args = parser.parse_args()
db_manager = DatabaseManager(args.db)
print("=" * 60)
print("Schema Migration - Phase 4")
print("=" * 60)
if args.dry_run:
print("\n🔍 DRY RUN MODE - No changes will be made\n")
# Define migrations
migrations = [
{
'old_name': 'terminology-schema.json',
'new_filename': 'terminology-schema-v1.0.md',
'version': '1.0.0',
'domain': 'terminology',
'description': 'Schema for validating terminology and glossary documents with consistent structure'
},
{
'old_name': 'api-documentation',
'new_filename': 'api-documentation-schema-v1.0.md',
'version': '1.0.0',
'domain': 'api-documentation',
'description': 'Schema for API documentation structure and content validation'
},
]
# Schemas to delete (duplicates and replaced)
to_delete = [
'markdown-manpage', # Duplicate
'markdown-manpage-schema.json', # Duplicate
'enhanced-manpage', # Replaced by manpage-schema-v1.0.md
]
# Execute migrations
print("\n📝 MIGRATING SCHEMAS")
print("-" * 60)
migrated_files = []
for migration in migrations:
result = migrate_schema(
db_manager=db_manager,
dry_run=args.dry_run,
**migration
)
if result:
migrated_files.append(result)
# Clean up old schemas
print("\n\n🗑️ CLEANING UP OLD SCHEMAS")
print("-" * 60)
for schema_name in to_delete:
cleanup_old_schema(db_manager, schema_name, dry_run=args.dry_run)
# Summary
print("\n\n" + "=" * 60)
print("MIGRATION SUMMARY")
print("=" * 60)
if args.dry_run:
print("\n✓ Dry run completed successfully")
print(f" Would migrate {len(migrations)} schemas to markdown format")
print(f" Would delete {len(to_delete)} old schemas from database")
else:
print(f"\n✓ Migrated {len(migrated_files)} schemas to markdown format")
print(f"✓ Cleaned up {len(to_delete)} old schemas")
if migrated_files:
print("\n📄 New schema files created:")
for f in migrated_files:
print(f" - {f.name}")
print("\n🔍 Next steps:")
print(" 1. Validate new schemas: markitect schema-validate <schema-file>")
print(" 2. Ingest new schemas: markitect schema-ingest <schema-file>")
print(" 3. Test with documents")
print("\n" + "=" * 60)
if __name__ == '__main__':
main()