## Database Command Reorganization
- Add new db-prefixed commands: db-query, db-schema, db-delete, db-status
- Maintain backward compatibility with deprecation warnings for query/schema commands
- Implement lazy database initialization to reduce CLI coupling
- Add command-specific --database options for flexibility
## Legacy Compatibility Framework
- Create comprehensive legacy compatibility system in markitect/legacy_compat.py
- Support versioned legacy switches (--legacy-v39-pre) for smooth transitions
- Implement git commit binding for version tracking (Issue #39: v39-pre → 3168de4)
- Add environment-based legacy mode detection for test environments
- Create graduated deprecation warning system (DEPRECATED → LEGACY → SUNSET)
## Legacy Agent System
- Implement intelligent legacy lifecycle management agent
- Add 8 CLI commands for legacy interface management (status, analyze, migrate, cleanup, etc.)
- Create automated maintenance with usage analytics and data-driven decisions
- Provide comprehensive safety features with backup and rollback capabilities
## Test Architecture Enhancement
- Add 18 comprehensive tests for Issue #39 functionality (16 passing, 2 skipped by design)
- Configure pytest.ini with MARKITECT_LEGACY_MODE=39-pre for automatic legacy support
- Update test count to 466 total tests across 7 architectural layers
- Identify 5 legacy interface tests for future recreation without legacy dependencies
## Documentation & Roadmap Updates
- Update NEXT.md with completed Issues #39 and #40
- Document failing tests requiring recreation with pure db- commands
- Add comprehensive legacy agent documentation
- Update development priorities and capability descriptions
## Architecture Achievements
- Simplified CLI architecture with reduced coupling between commands and global state
- Created reusable legacy compatibility framework for future breaking changes
- Established systematic approach to interface deprecation and migration
- Maintained 461/466 tests passing (5 legacy interface tests flagged for recreation)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
561 lines
19 KiB
Python
561 lines
19 KiB
Python
"""
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Example Integration: Adding Legacy Support to MarkiTect CLI Commands
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This file demonstrates how to integrate the legacy compatibility system
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into existing MarkiTect CLI commands, showing practical patterns for:
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1. Adding legacy switches to existing commands
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2. Creating compatibility adapters for breaking changes
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3. Registering legacy interfaces and deprecation timelines
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4. Setting up automated legacy management
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This serves as both documentation and a working example.
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"""
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import click
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import json
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from datetime import datetime, timedelta
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from pathlib import Path
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# Import the legacy system components
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from .legacy import (
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LegacyRegistry, LegacySwitch, LegacyAgent, DeprecationManager,
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GitStateTracker, CompatibilityLayer, LegacyStatus, legacy_option,
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with_legacy_support
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)
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from .legacy.compatibility import InterfaceAdapter, ParameterMapping
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# Example 1: Adding legacy support to the existing 'query' command
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# This shows how to modify an existing command to support legacy versions
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@click.command()
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@click.argument('sql', type=str)
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@click.option('--format', '-f', type=click.Choice(['table', 'json', 'yaml', 'simple']),
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default='simple', help='Output format')
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@legacy_option('v1.0', 'Use v1.0 legacy query behavior (deprecated)')
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@legacy_option('v2.0', 'Use v2.0 legacy query behavior (deprecated)')
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@with_legacy_support('query')
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def query_with_legacy(sql, format, legacy_v1_0=False, legacy_v2_0=False):
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"""
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Execute SQL query with legacy support.
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This demonstrates how an existing command can be enhanced with legacy support
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without breaking existing functionality.
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"""
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# The @with_legacy_support decorator handles legacy routing automatically
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# If no legacy flags are set, this executes the modern implementation
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# Modern implementation
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return execute_modern_query(sql, format)
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def execute_modern_query(sql: str, format: str):
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"""Modern query implementation."""
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# This would be your current implementation
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return f"Modern query result for: {sql} in {format} format"
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# Example 2: Setting up legacy compatibility adapters
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# This shows how to handle breaking changes between versions
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def setup_query_legacy_adapters():
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"""Setup compatibility adapters for query command legacy versions."""
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compatibility = CompatibilityLayer()
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# Adapter for v1.0 - handles parameter name changes
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v1_adapter = InterfaceAdapter(
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legacy_version='v1.0',
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parameter_mappings=[
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ParameterMapping(
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legacy_name='sql_query', # Old parameter name
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modern_name='sql', # New parameter name
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required=True
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),
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ParameterMapping(
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legacy_name='output_format', # Old parameter name
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modern_name='format', # New parameter name
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transformer=lambda x: { # Handle format value changes
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'pretty': 'table',
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'raw': 'simple',
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'structured': 'json'
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}.get(x, x),
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default_value='simple'
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),
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ParameterMapping(
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legacy_name='verbose_output', # Boolean flag converted to format
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modern_name='format',
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transformer=lambda x: 'table' if x else 'simple',
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required=False
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)
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],
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return_transformer=legacy_v1_return_format, # Transform output format
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compatibility_mode=CompatibilityLayer.CompatibilityMode.ADAPTIVE
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)
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# Adapter for v2.0 - handles different breaking changes
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v2_adapter = InterfaceAdapter(
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legacy_version='v2.0',
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parameter_mappings=[
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ParameterMapping(
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legacy_name='database_query', # Another old name
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modern_name='sql',
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required=True
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),
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ParameterMapping(
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legacy_name='response_format',
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modern_name='format',
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transformer=lambda x: x.lower(), # Simple case conversion
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default_value='simple'
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)
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],
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return_transformer=legacy_v2_return_format,
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compatibility_mode=CompatibilityLayer.CompatibilityMode.STRICT
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)
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compatibility.register_adapter('query', v1_adapter)
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compatibility.register_adapter('query', v2_adapter)
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return compatibility
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def legacy_v1_return_format(result):
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"""Transform modern query results to v1.0 expected format."""
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if isinstance(result, str) and 'Modern query result' in result:
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# v1.0 expected results wrapped in a specific structure
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return {
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'status': 'success',
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'query_result': result,
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'format_version': 'v1.0',
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'timestamp': datetime.now().isoformat()
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}
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return result
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def legacy_v2_return_format(result):
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"""Transform modern query results to v2.0 expected format."""
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if isinstance(result, str):
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# v2.0 expected a different wrapper structure
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return {
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'success': True,
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'data': result,
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'api_version': 'v2.0'
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}
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return result
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# Example 3: Registering legacy interfaces with the registry
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# This shows how to formally register legacy versions
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def register_query_legacy_versions():
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"""Register legacy versions of the query command."""
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registry = LegacyRegistry()
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git_tracker = GitStateTracker()
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# Register v1.0 as deprecated (90 days ago)
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deprecated_date = (datetime.now() - timedelta(days=90)).isoformat()
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registry.register_legacy_interface(
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command='query',
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version='v1.0',
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git_commit='a1b2c3d4', # Actual commit where v1.0 was current
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status=LegacyStatus.DEPRECATED,
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deprecated_date=deprecated_date,
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removal_date=(datetime.now() + timedelta(days=60)).isoformat(),
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description='Legacy query interface with sql_query parameter',
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breaking_changes=[
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'Parameter sql_query renamed to sql',
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'Output format values changed (pretty->table, raw->simple)',
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'Return structure modified for consistency'
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],
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migration_guide='''
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Migration from query v1.0 to current:
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1. Change parameter names:
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--sql_query → --sql (or use sql as positional argument)
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--output_format → --format
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2. Update format values:
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--output_format=pretty → --format=table
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--output_format=raw → --format=simple
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--output_format=structured → --format=json
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3. Update result parsing:
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- v1.0 returned: {"status": "success", "query_result": "...", ...}
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- Current returns: direct result string or structured data
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Example:
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Old: markitect query --sql_query "SELECT * FROM files" --output_format=pretty
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New: markitect query "SELECT * FROM files" --format=table
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''',
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implementation=legacy_v1_query_implementation
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)
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# Register v2.0 as legacy (requires flag)
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registry.register_legacy_interface(
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command='query',
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version='v2.0',
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git_commit='e5f6g7h8', # Actual commit where v2.0 was current
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status=LegacyStatus.LEGACY,
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deprecated_date=(datetime.now() - timedelta(days=30)).isoformat(),
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removal_date=(datetime.now() + timedelta(days=90)).isoformat(),
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description='Legacy query interface with database_query parameter',
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breaking_changes=[
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'Parameter database_query renamed to sql',
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'Response format structure simplified'
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],
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migration_guide='''
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Migration from query v2.0 to current:
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1. Change parameter names:
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--database_query → positional sql argument
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2. Update result parsing:
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- v2.0 returned: {"success": true, "data": "...", "api_version": "v2.0"}
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- Current returns: direct result
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Example:
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Old: markitect query --database_query "SELECT * FROM files"
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New: markitect query "SELECT * FROM files"
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''',
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implementation=legacy_v2_query_implementation
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)
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# Bind versions to git commits for precise restoration
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git_tracker.bind_version_to_commit(
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command='query',
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version='v1.0',
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commit_hash='a1b2c3d4',
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description='Query v1.0 implementation with sql_query parameter',
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validation_files=['markitect/cli.py', 'markitect/database.py']
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)
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git_tracker.bind_version_to_commit(
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command='query',
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version='v2.0',
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commit_hash='e5f6g7h8',
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description='Query v2.0 implementation with database_query parameter',
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validation_files=['markitect/cli.py', 'markitect/database.py']
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)
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def legacy_v1_query_implementation(*args, **kwargs):
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"""Legacy v1.0 query implementation."""
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# Extract legacy parameters
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sql_query = kwargs.get('sql_query') or args[0] if args else None
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output_format = kwargs.get('output_format', 'simple')
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verbose_output = kwargs.get('verbose_output', False)
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if not sql_query:
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raise ValueError("sql_query parameter is required for v1.0")
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# Transform to modern parameters
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modern_format = {
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'pretty': 'table',
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'raw': 'simple',
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'structured': 'json'
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}.get(output_format, output_format)
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if verbose_output:
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modern_format = 'table'
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# Execute modern implementation
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result = execute_modern_query(sql_query, modern_format)
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# Return in v1.0 expected format
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return {
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'status': 'success',
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'query_result': result,
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'format_version': 'v1.0',
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'timestamp': datetime.now().isoformat()
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}
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def legacy_v2_query_implementation(*args, **kwargs):
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"""Legacy v2.0 query implementation."""
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database_query = kwargs.get('database_query') or args[0] if args else None
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response_format = kwargs.get('response_format', 'simple').lower()
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if not database_query:
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raise ValueError("database_query parameter is required for v2.0")
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# Execute modern implementation
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result = execute_modern_query(database_query, response_format)
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# Return in v2.0 expected format
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return {
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'success': True,
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'data': result,
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'api_version': 'v2.0'
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}
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# Example 4: Setting up automated legacy management
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# This shows how to configure the legacy agent for automation
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def setup_legacy_automation():
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"""Setup automated legacy management for MarkiTect."""
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# Configure agent with custom settings
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from .legacy.agent import AgentConfig
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config = AgentConfig(
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auto_progression=True, # Automatically progress deprecations
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cleanup_unused_days=180, # Clean up after 6 months of no usage
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migration_guide_auto_generation=True, # Generate migration guides
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notification_threshold_days=30, # Notify 30 days before removal
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max_concurrent_migrations=3, # Limit concurrent migration assistance
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backup_before_cleanup=True # Always backup before cleanup
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)
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agent = LegacyAgent(config=config)
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# Schedule regular maintenance (this would typically be done via cron/systemd)
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maintenance_summary = agent.run_maintenance()
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return agent, maintenance_summary
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# Example 5: CLI commands for legacy management
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# This shows how to add CLI commands for managing legacy interfaces
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@click.group('legacy')
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def legacy_management():
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"""Manage legacy interface compatibility and lifecycle."""
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pass
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@legacy_management.command('status')
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@click.option('--format', '-f', type=click.Choice(['table', 'json', 'yaml']),
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default='table', help='Output format')
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def legacy_status(format):
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"""Show status of all legacy interfaces."""
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registry = LegacyRegistry()
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# Get all legacy interfaces
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interfaces = []
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for command in registry._interfaces:
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for version, interface in registry._interfaces[command].items():
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interfaces.append({
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'command': interface.command,
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'version': interface.version,
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'status': interface.status.value,
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'deprecated_date': interface.deprecated_date,
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'removal_date': interface.removal_date,
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'git_commit': interface.git_commit[:8] if interface.git_commit else 'N/A'
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})
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if format == 'json':
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click.echo(json.dumps(interfaces, indent=2))
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elif format == 'yaml':
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import yaml
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click.echo(yaml.dump(interfaces, default_flow_style=False))
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else:
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# Table format
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if interfaces:
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from tabulate import tabulate
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headers = ['Command', 'Version', 'Status', 'Deprecated', 'Removal', 'Commit']
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rows = [[i['command'], i['version'], i['status'],
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i['deprecated_date'][:10] if i['deprecated_date'] else 'N/A',
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i['removal_date'][:10] if i['removal_date'] else 'N/A',
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i['git_commit']] for i in interfaces]
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click.echo(tabulate(rows, headers=headers, tablefmt='grid'))
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else:
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click.echo("No legacy interfaces found.")
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@legacy_management.command('migrate')
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@click.argument('command')
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@click.argument('version')
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def legacy_migrate(command, version):
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"""Get migration guidance for a legacy version."""
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registry = LegacyRegistry()
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interface = registry.get_legacy_interface(command, version)
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if not interface:
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click.echo(f"Legacy version {command} {version} not found.", err=True)
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return
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migration = registry.get_migration_path(command, version)
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click.echo(f"Migration Guide for {command} {version}")
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click.echo("=" * 50)
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if interface.migration_guide:
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click.echo(interface.migration_guide)
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else:
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click.echo("No specific migration guide available.")
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if migration['breaking_changes']:
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click.echo("\nBreaking Changes:")
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for change in migration['breaking_changes']:
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click.echo(f"• {change}")
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@legacy_management.command('cleanup')
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@click.argument('command')
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@click.argument('version')
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@click.option('--force', is_flag=True, help='Force cleanup without confirmation')
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def legacy_cleanup(command, version, force):
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"""Clean up a specific legacy version."""
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agent = LegacyAgent()
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if not force:
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interface = agent.registry.get_legacy_interface(command, version)
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if interface:
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click.echo(f"About to clean up {command} {version}")
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click.echo(f"Status: {interface.status.value}")
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if interface.removal_date:
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click.echo(f"Scheduled removal: {interface.removal_date}")
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if not click.confirm("Are you sure you want to proceed?"):
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click.echo("Cleanup cancelled.")
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return
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success = agent.force_cleanup(command, version)
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if success:
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click.echo(f"✅ Successfully cleaned up {command} {version}")
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else:
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click.echo(f"❌ Failed to clean up {command} {version}", err=True)
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@legacy_management.command('agent-status')
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def legacy_agent_status():
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"""Show legacy agent status and statistics."""
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agent = LegacyAgent()
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status = agent.get_agent_status()
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click.echo("Legacy Agent Status")
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click.echo("=" * 30)
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click.echo(f"Data Directory: {status['data_directory']}")
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click.echo(f"Total Tasks: {status['tasks']['total']}")
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click.echo(f"Pending Tasks: {status['tasks']['pending']}")
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click.echo(f"Completed Tasks: {status['tasks']['completed']}")
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if status['next_maintenance']:
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click.echo(f"Next Maintenance: {status['next_maintenance']}")
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click.echo("\nRegistry Statistics:")
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for stat_name, stat_value in status['registry_stats'].items():
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click.echo(f" {stat_name}: {stat_value}")
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|
|
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# Example 6: Integration with existing CLI structure
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# This shows how to add legacy support to the main CLI
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def add_legacy_support_to_main_cli():
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"""
|
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Example of how to integrate legacy support into the main CLI module.
|
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|
|
This would typically be added to markitect/cli.py
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"""
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|
# 1. Import legacy components at the top of cli.py
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# from .legacy import LegacyRegistry, with_legacy_support, legacy_option
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|
|
# 2. Initialize legacy system in the main CLI group
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def initialize_legacy_system():
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# Setup registry and compatibility adapters
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setup_query_legacy_adapters()
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register_query_legacy_versions()
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|
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# Setup agent for automation
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setup_legacy_automation()
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|
|
# 3. Add legacy support to existing commands (example for query command)
|
|
def enhance_existing_query_command():
|
|
"""
|
|
This shows how to modify the existing query command in cli.py
|
|
to add legacy support without breaking changes.
|
|
"""
|
|
|
|
# Original command would be modified from:
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|
# @cli.command()
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|
# @click.argument('sql', type=str)
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|
# @click.option('--format', '-f', ...)
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|
# def query(sql, format):
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|
# # existing implementation
|
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|
|
# To:
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|
# @cli.command()
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|
# @click.argument('sql', type=str)
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|
# @click.option('--format', '-f', ...)
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|
# @legacy_option('v1.0', 'Use v1.0 legacy behavior')
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|
# @legacy_option('v2.0', 'Use v2.0 legacy behavior')
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|
# @with_legacy_support('query')
|
|
# def query(sql, format, legacy_v1_0=False, legacy_v2_0=False):
|
|
# # The @with_legacy_support decorator handles routing
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|
# # Original implementation stays the same
|
|
# return original_query_implementation(sql, format)
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|
|
pass
|
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|
|
# 4. Add legacy management commands to main CLI
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|
def add_legacy_commands_to_cli():
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"""Add legacy management commands to main CLI."""
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# This would be added to the main cli group:
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# @cli.group()
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# def legacy():
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# """Legacy interface management commands."""
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# pass
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#
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# Then add all the legacy_management commands as subcommands
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pass
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if __name__ == '__main__':
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"""
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Demonstration of the complete legacy system setup.
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This shows how all components work together.
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"""
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click.echo("Setting up MarkiTect Legacy Compatibility System...")
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# 1. Setup compatibility adapters
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click.echo("1. Setting up compatibility adapters...")
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compatibility = setup_query_legacy_adapters()
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# 2. Register legacy versions
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click.echo("2. Registering legacy interfaces...")
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register_query_legacy_versions()
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# 3. Setup automation
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click.echo("3. Setting up legacy automation...")
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agent, summary = setup_legacy_automation()
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# 4. Test legacy functionality
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click.echo("4. Testing legacy compatibility...")
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# Test parameter adaptation
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test_result = compatibility.test_compatibility(
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'query', 'v1.0',
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{'sql_query': 'SELECT * FROM test', 'output_format': 'pretty'}
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)
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if test_result['success']:
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click.echo(" ✅ Parameter adaptation working")
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click.echo(f" Adapted: {test_result['adapted_parameters']}")
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else:
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click.echo(" ❌ Parameter adaptation failed")
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# Test registry functionality
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registry = LegacyRegistry()
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interface = registry.get_legacy_interface('query', 'v1.0')
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if interface:
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click.echo(" ✅ Legacy interface registry working")
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click.echo(f" Found: {interface.command} {interface.version} ({interface.status.value})")
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else:
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click.echo(" ❌ Legacy interface registry failed")
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click.echo("\n✅ Legacy compatibility system setup complete!")
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click.echo("\nNext steps:")
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click.echo("1. Integrate legacy_option decorators into existing CLI commands")
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click.echo("2. Add legacy management commands to main CLI")
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click.echo("3. Schedule regular agent maintenance")
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click.echo("4. Monitor legacy usage and plan migrations") |