- Added progress tracking to all ontology module files (16 files)
- Added progress tracking to all pipeline module files (7 files)
- Added progress tracking to all reasoning module files (7 files)
- Implemented consistent progress tracking pattern across all modules
- All methods now use start_tracking, update_tracking, and stop_tracking
- Added executable Python code cells to all three getting started notebooks
- Improved markdown formatting with consistent header hierarchy
- Removed excessive comments from code cells for better readability
- Added markdown explanation cells between code sections
- Enhanced documentation structure and clarity
- Updated all 6 files in conflicts module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, conflict_analyzer.py, conflict_detector.py, conflict_resolver.py, investigation_guide.py, source_tracker.py
- Updated all 5 files in context module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, agent_memory.py, context_graph.py, context_retriever.py, entity_linker.py
- Updated all 12 files in visualization module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, kg_visualizer.py, embedding_visualizer.py, analytics_visualizer.py, ontology_visualizer.py, quality_visualizer.py, semantic_network_visualizer.py, temporal_visualizer.py, utils/__init__.py, utils/color_schemes.py, utils/export_formats.py, utils/layout_algorithms.py
- Updated all 10 files in vector_store module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, vector_store.py, faiss_adapter.py, pinecone_adapter.py, weaviate_adapter.py, qdrant_adapter.py, milvus_adapter.py, hybrid_search.py, metadata_store.py, namespace_manager.py
- Updated all 7 files in utils module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes, functions, and utilities
- Standardized Author and License information
- Files updated: __init__.py, constants.py, exceptions.py, helpers.py, logging.py, types.py, validators.py
- Updated all 8 files in triple_store module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, triple_manager.py, query_engine.py, bulk_loader.py, jena_adapter.py, blazegraph_adapter.py, rdf4j_adapter.py, virtuoso_adapter.py
- Updated all 7 files in split module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, chunk_validator.py, provenance_tracker.py, semantic_chunker.py, sliding_window_chunker.py, structural_chunker.py, table_chunker.py
- Updated all 11 files in semantic_extract module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, coreference_resolver.py, event_detector.py, extraction_validator.py, llm_enhancer.py, named_entity_recognizer.py, ner_extractor.py, relation_extractor.py, semantic_analyzer.py, semantic_network_extractor.py, triple_extractor.py
- Updated both files in seed module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for SeedDataManager, SeedDataSource, and SeedData classes
- Added comprehensive method documentation with Args, Returns, Raises, and Examples
- Standardized Author and License information
- Files updated: __init__.py, seed_manager.py
- Updated all 8 files in reasoning module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved type hints and error handling across all reasoning components
- Standardized Author and License information
- Files updated: __init__.py, abductive_reasoner.py, deductive_reasoner.py, explanation_generator.py, inference_engine.py, rete_engine.py, rule_manager.py, sparql_reasoner.py
- Update all 8 pipeline module files to follow consistent docstring format
- Add comprehensive module-level documentation with Key Features section
- Include Main Classes listing for each module
- Standardize Example Usage with >>> prompts (matching language_detector.py format)
- Add Author and License sections to all modules
- Enhance code clarity and maintainability for open-source contribution
Refactored files:
- __init__.py: Main pipeline module exports and documentation
- execution_engine.py: Pipeline execution and orchestration
- failure_handler.py: Error handling and retry mechanisms
- parallelism_manager.py: Parallel execution management
- pipeline_builder.py: Pipeline construction DSL
- pipeline_templates.py: Pre-built pipeline templates
- pipeline_validator.py: Pipeline validation and testing
- resource_scheduler.py: Resource allocation and scheduling
- Add comprehensive module-level docstrings with features and examples
- Enhance class and method docstrings with detailed parameter descriptions
- Improve error handling with specific exception types
- Add type hints for better code clarity
- Enhance logging with debug/info messages
- Improve code organization and maintainability
Refactored files:
- web_ingestor.py: Web scraping, crawling, and content extraction
- db_ingestor.py: Database ingestion with multi-database support
- email_ingestor.py: IMAP/POP3 email processing and parsing
- feed_ingestor.py: RSS/Atom feed parsing and monitoring
- repo_ingestor.py: Git repository cloning and code analysis
- stream_ingestor.py: Real-time stream processing (Kafka, Pulsar, RabbitMQ, Kinesis)
- Add comprehensive module-level documentation in all export files
- Enhance CSVExporter with detailed field normalization docs
- Improve JSONExporter with JSON-LD conversion documentation
- Refactor GraphExporter with format-specific export methods
- Enhance RDFExporter with validation and namespace management docs
- Improve OWLExporter with OWL-XML and Turtle format support
- Refactor ReportGenerator with multi-format report generation docs
- Enhance VectorExporter with vector store integration documentation
- Improve YAMLExporter with semantic network export documentation
- Add type hints and clearer variable names throughout
- Document all private methods for better maintainability
- Add examples and usage patterns in docstrings
- Improve error messages and logging throughout
- Add comprehensive format support documentation
- Add comprehensive docstrings to all methods in text_embedder.py
- Enhance image_embedder.py with detailed CLIP and fallback method documentation
- Improve audio_embedder.py with librosa feature extraction docs
- Refactor multimodal_embedder.py with cross-modal embedding documentation
- Add detailed embedding_optimizer.py documentation for compression and optimization
- Enhance context_manager.py with context window management docs
- Improve error messages and logging throughout
- Add type hints and clearer variable names
- Document all private methods for better maintainability
- Add examples and usage patterns in docstrings
- Improve module-level documentation with features and examples
- Add comprehensive docstrings to all methods in duplicate_detector.py
- Enhance entity_merger.py with detailed merge operation documentation
- Improve similarity_calculator.py with multi-factor similarity docs
- Refactor merge_strategy.py with complete strategy management docs
- Add detailed cluster_builder.py documentation for clustering algorithms
- Enhance module-level documentation in all files
- Improve error messages and logging throughout
- Add type hints and clearer variable names
- Document all private methods for better maintainability
- Add examples and usage patterns in docstrings
- Add comprehensive docstrings to all methods in orchestrator.py
- Enhance config_manager.py with detailed validation and env parsing docs
- Improve lifecycle.py with better hook system documentation
- Refactor plugin_registry.py with complete plugin discovery documentation
- Add detailed module-level documentation to all core files
- Improve error messages and logging throughout
- Add type hints and clearer variable names
- Document all private methods for better maintainability
- Moved semantica folder from libs/ to root level
- Moved pyproject.toml from libs/ to root level
- Moved and renamed libs/README.md to LIBS_README.md at root
- Removed empty libs folder
- Add KGVisualizer for knowledge graph network, community, and centrality visualizations
- Add OntologyVisualizer for class hierarchy, property graphs, and semantic model visualization
- Add EmbeddingVisualizer for 2D/3D projections, similarity heatmaps, and clustering
- Add SemanticNetworkVisualizer for semantic network graph visualizations
- Add QualityVisualizer for quality metrics dashboards and issue tracking
- Add AnalyticsVisualizer for centrality rankings, community structures, and connectivity analysis
- Add TemporalVisualizer for timeline, animation, and temporal pattern visualizations
- Add visualization utilities (layout algorithms, color schemes, export formats)
- Enhanced support for semantic models, ontologies, and semantic networks with multiple input formats
- Auto-extraction of classes and properties from semantic networks
- Update pyproject.toml with optional viz dependencies (pyvis, graphviz, umap-learn)
- Add comprehensive visualization examples to README
- Clean imports without try-except complexity for core dependencies
KaifAhmad1