Feature: Measure Converter #40
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Implement base architecture for converting business measures between formats (YAML, DAX, SQL, UC Metrics, Power BI). - Create converters package with clean architecture pattern - Base classes: BaseConverter, ConverterFactory - Data models: KBI, DAXMeasure, SQLMeasure, UCMetric - Placeholder structure for formats, rules, and utilities - Add API layer - REST endpoints: /api/measure-conversion/* - Routes: convert, validate, batch-convert, get formats - Register router in main API - Add service layer - MeasureConversionService for business logic - Async operations with error handling - Factory pattern for converter instantiation - Add Pydantic schemas - Request/response models - Validation schemas - OpenAPI documentation - Add comprehensive README with usage examples Prepared for integration of existing yaml2dax conversion logic. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
Integrate all working yaml2dax conversion logic and reorganize into clean, hierarchical package structure with improved naming conventions. ## Migration - Migrate all yaml2dax components (parsers, generators, processors, translators) - Create concrete converter implementations (YAML→DAX, YAML→SQL, YAML→UC Metrics) - Auto-register all converters via registry module - Update all imports to new package structure ## Reorganization - Rename: measure/ → processors/ (clearer purpose) - Split formats/ into parsers/ and generators/ subdirectories - Split rules/ into aggregations/ and translators/ subdirectories - Move converters to implementations/ subdirectory - Rename converter files for consistency (remove _converter suffix) ## New Structure converters/ ├── base/ # Framework (BaseConverter, ConverterFactory) ├── models/ # Data models (KBI, SQL models) ├── formats/ │ ├── parsers/ # YAML, formula parsers │ └── generators/ # DAX, SQL generators ├── processors/ # Structure, UC metrics processors ├── rules/ │ ├── aggregations/ # DAX, SQL aggregation rules │ └── translators/ # Filter, formula, dependency resolvers ├── implementations/ # Concrete converters (yaml_to_dax, yaml_to_sql, yaml_to_uc_metrics) └── registry.py # Auto-registration ## Components Migrated (18 files) - Parsers: yaml_parser, formula_parser - Generators: dax_generator, sql_generator, smart_dax, tree_parsing_dax - Processors: structure_processor, sql_structure_processor, uc_metrics_processor - Rules: filter_resolver, formula_translator, dependency_resolver - Aggregations: dax_aggregations, sql_aggregations - Models: sql_models (SQLQuery, SQLDialect, etc.) - Converters: 3 concrete implementations ## Benefits - Clean hierarchical organization - Logical grouping by purpose - Consistent naming conventions - Easy to extend and maintain - Industry-standard package structure All yaml2dax conversion logic now integrated and functional via API endpoints. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Summary
Backend changes for KPI parsers and measure conversion infrastructure.
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🤖 Generated with Claude Code