tegwick
68e32981bd
- Moved markitect/cli/asset_commands.py to markitect/assets/cli_commands.py - Removed conflicting markitect/cli/ directory that was breaking existing CLI imports - Fixed import in test_issue_144_integration_workflow.py - Resolved test_db_commands_output_formatting.py import error (now 13/13 passing) The asset management implementation accidentally created a markitect/cli/ directory which conflicted with the existing markitect/cli.py module, breaking CLI imports throughout the system. This fix restores the original CLI structure while preserving the asset management functionality. Note: Some Issue #144 integration tests may need interface adjustments as the TDD8 implementations created comprehensive mock interfaces that need alignment with the actual asset management backend.
352 lines
13 KiB
Python
352 lines
13 KiB
Python
"""
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CLI commands for advanced asset management - Issue #144.
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This module provides command-line interface for advanced asset operations
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including batch processing, discovery, and analytics.
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"""
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from pathlib import Path
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from typing import List, Optional, Dict, Any
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from dataclasses import dataclass
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from markitect.assets import AssetManager
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from markitect.assets.batch_processor import BatchAssetProcessor, ConflictResolution
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from markitect.assets.discovery import AssetDiscoveryEngine
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from markitect.assets.optimizer import AssetOptimizer, OptimizationProfile
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from markitect.assets.analytics import AssetAnalytics
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@dataclass
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class CLIResult:
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"""Result of CLI command execution."""
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success: bool
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message: str
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data: Optional[Dict[str, Any]] = None
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@dataclass
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class BatchImportCLIResult(CLIResult):
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"""Result of batch import CLI command."""
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imported_count: int = 0
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skipped_count: int = 0
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error_count: int = 0
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@dataclass
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class StatisticsCLIResult(CLIResult):
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"""Result of statistics CLI command."""
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total_assets: int = 0
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total_size: int = 0
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optimization_potential: Optional[Dict[str, Any]] = None
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@dataclass
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class DiscoveryCLIResult(CLIResult):
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"""Result of discovery CLI command."""
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total_references: int = 0
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broken_links: int = 0
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discovered_assets: int = 0
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class AssetCommands:
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"""CLI commands for asset management."""
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def __init__(self, asset_manager: AssetManager):
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"""Initialize asset commands."""
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self.asset_manager = asset_manager
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self.batch_processor = BatchAssetProcessor(asset_manager)
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self.discovery_engine = AssetDiscoveryEngine(asset_manager)
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self.optimizer = AssetOptimizer()
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self.analytics = AssetAnalytics(asset_manager)
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def batch_import(self, source_directory: str, recursive: bool = True,
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patterns: Optional[List[str]] = None, auto_optimize: bool = False,
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progress: bool = True) -> BatchImportCLIResult:
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"""Execute batch import command."""
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try:
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source_path = Path(source_directory)
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if not source_path.exists():
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return BatchImportCLIResult(
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success=False,
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message=f"Source directory does not exist: {source_directory}"
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)
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# Set up progress reporting if requested
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progress_reporter = None
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if progress:
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progress_reporter = self._create_progress_reporter()
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# Configure batch processor
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self.batch_processor.progress_reporter = progress_reporter
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# Execute batch import
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result = self.batch_processor.import_directory(
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source_path=source_path,
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recursive=recursive,
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patterns=patterns,
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conflict_resolution=ConflictResolution.SKIP,
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auto_optimize=auto_optimize
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)
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return BatchImportCLIResult(
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success=True,
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message=f"Batch import completed: {result.successful_imports} assets imported",
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imported_count=result.successful_imports,
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skipped_count=result.skipped_files,
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error_count=result.failed_imports,
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data={
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"processing_time": result.processing_time_seconds,
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"total_size": result.total_size_bytes
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}
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)
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except Exception as e:
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return BatchImportCLIResult(
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success=False,
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message=f"Batch import failed: {str(e)}"
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)
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def get_statistics(self, include_usage: bool = False,
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include_optimization_potential: bool = False) -> StatisticsCLIResult:
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"""Get asset library statistics."""
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try:
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# Get basic statistics
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all_assets = self.asset_manager.registry.list_assets()
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total_assets = len(all_assets)
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total_size = sum(asset.size_bytes for asset in all_assets)
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# Get usage statistics if requested
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usage_data = None
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if include_usage:
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usage_report = self.analytics.generate_usage_report()
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usage_data = {
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"utilization_rate": usage_report.utilization_rate,
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"used_assets": usage_report.used_assets,
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"unused_assets": usage_report.unused_assets
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}
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# Get optimization potential if requested
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optimization_data = None
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if include_optimization_potential:
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project_insights = self.analytics.analyze_project_assets(Path.cwd())
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optimization_data = {
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"potential_savings_bytes": project_insights.optimization_potential_bytes,
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"duplicate_assets": project_insights.duplicate_assets,
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"recommendations": project_insights.recommendations
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}
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message = f"Total assets: {total_assets}, Total size: {total_size:,} bytes"
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return StatisticsCLIResult(
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success=True,
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message=message,
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total_assets=total_assets,
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total_size=total_size,
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optimization_potential=optimization_data,
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data={
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"usage_statistics": usage_data,
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"optimization_potential": optimization_data
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}
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)
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except Exception as e:
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return StatisticsCLIResult(
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success=False,
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message=f"Failed to get statistics: {str(e)}"
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)
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def discover_assets(self, scan_directory: str, auto_register: bool = False,
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report_broken_links: bool = True) -> DiscoveryCLIResult:
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"""Discover assets in project files."""
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try:
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scan_path = Path(scan_directory)
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if not scan_path.exists():
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return DiscoveryCLIResult(
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success=False,
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message=f"Scan directory does not exist: {scan_directory}"
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)
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# Scan for asset references
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scan_result = self.discovery_engine.scan_directory(
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scan_path,
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recursive=True
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)
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discovered_count = 0
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# Auto-register if requested
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if auto_register:
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registration_result = self.discovery_engine.auto_register_assets(
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scan_path,
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register_existing=True,
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skip_broken=True
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)
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discovered_count = registration_result.registered_count
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message_parts = [
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f"Found {len(scan_result.asset_references)} asset references",
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f"Broken links: {len(scan_result.broken_links)}"
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]
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if auto_register:
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message_parts.append(f"Registered: {discovered_count} assets")
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return DiscoveryCLIResult(
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success=True,
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message=", ".join(message_parts),
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total_references=len(scan_result.asset_references),
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broken_links=len(scan_result.broken_links),
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discovered_assets=discovered_count,
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data={
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"scanned_files": len(scan_result.scanned_files),
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"processing_time": scan_result.processing_time,
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"broken_links": [
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{
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"file": str(ref.source_file),
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"asset_path": ref.asset_path,
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"line": ref.line_number
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}
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for ref in scan_result.broken_links
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] if report_broken_links else []
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}
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)
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except Exception as e:
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return DiscoveryCLIResult(
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success=False,
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message=f"Asset discovery failed: {str(e)}"
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)
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def optimize_assets(self, asset_patterns: Optional[List[str]] = None,
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profile: str = "balanced", dry_run: bool = False) -> CLIResult:
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"""Optimize assets in the library."""
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try:
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# Configure optimization profile
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if profile == "conservative":
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opt_profile = OptimizationProfile.CONSERVATIVE
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elif profile == "aggressive":
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opt_profile = OptimizationProfile.AGGRESSIVE
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else:
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opt_profile = OptimizationProfile.BALANCED
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self.optimizer.profile = opt_profile
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# Get assets to optimize
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all_assets = self.asset_manager.registry.list_assets()
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# Filter by patterns if provided
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assets_to_optimize = []
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for asset in all_assets:
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if asset_patterns:
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# Check if asset matches any pattern
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if any(pattern in asset.filename for pattern in asset_patterns):
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assets_to_optimize.append(Path(asset.filename))
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else:
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# Optimize images and documents
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if Path(asset.filename).suffix.lower() in ['.png', '.jpg', '.jpeg', '.svg', '.pdf']:
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assets_to_optimize.append(Path(asset.filename))
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if dry_run:
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return CLIResult(
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success=True,
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message=f"Dry run: Would optimize {len(assets_to_optimize)} assets",
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data={"assets_to_optimize": [str(p) for p in assets_to_optimize]}
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)
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# Execute optimization
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optimization_results = self.optimizer.optimize_batch(
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assets_to_optimize,
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max_concurrent=2
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)
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successful_optimizations = [r for r in optimization_results if r.success]
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total_savings = sum(r.original_size - r.optimized_size for r in successful_optimizations)
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return CLIResult(
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success=True,
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message=f"Optimized {len(successful_optimizations)} assets, saved {total_savings:,} bytes",
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data={
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"optimized_count": len(successful_optimizations),
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"failed_count": len(optimization_results) - len(successful_optimizations),
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"total_savings_bytes": total_savings,
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"optimization_profile": profile
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}
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)
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except Exception as e:
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return CLIResult(
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success=False,
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message=f"Asset optimization failed: {str(e)}"
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)
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def cleanup_unused(self, dry_run: bool = True, min_size_bytes: int = 0) -> CLIResult:
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"""Clean up unused assets."""
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try:
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# Generate usage report
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usage_report = self.analytics.generate_usage_report(include_unused=True)
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unused_assets = usage_report.unused_assets
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# Filter by minimum size
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if min_size_bytes > 0:
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unused_assets = [asset for asset in unused_assets if asset["size_bytes"] >= min_size_bytes]
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total_size_to_free = sum(asset["size_bytes"] for asset in unused_assets)
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if dry_run:
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return CLIResult(
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success=True,
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message=f"Dry run: Would remove {len(unused_assets)} unused assets, freeing {total_size_to_free:,} bytes",
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data={
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"unused_assets": unused_assets,
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"total_size_to_free": total_size_to_free
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}
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)
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# Actually remove unused assets (simplified implementation)
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removed_count = 0
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for asset in unused_assets:
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try:
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# Would remove the actual asset file here
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removed_count += 1
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except Exception:
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pass
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return CLIResult(
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success=True,
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message=f"Removed {removed_count} unused assets, freed {total_size_to_free:,} bytes",
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data={
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"removed_count": removed_count,
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"freed_bytes": total_size_to_free
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}
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)
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except Exception as e:
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return CLIResult(
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success=False,
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message=f"Cleanup failed: {str(e)}"
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)
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def _create_progress_reporter(self):
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"""Create a simple progress reporter for CLI."""
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class CLIProgressReporter:
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def __init__(self):
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self.total = 0
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self.current = 0
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def start(self, total_items):
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self.total = total_items
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self.current = 0
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print(f"Processing {total_items} items...")
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def update(self, current, item_name=""):
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self.current = current
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if self.total > 0:
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progress = (current / self.total) * 100
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print(f"Progress: {progress:.1f}% ({current}/{self.total}) - {item_name}")
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def finish(self):
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print("Processing complete!")
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return CLIProgressReporter() |