diff --git a/SemantiCore_Development_Roadmap.md b/SemantiCore_Development_Roadmap.md index a99bdba3..46a895aa 100644 --- a/SemantiCore_Development_Roadmap.md +++ b/SemantiCore_Development_Roadmap.md @@ -16,132 +16,1100 @@ Each module is a self-contained package with a clear public API. 1. **core** - * Responsibilities: orchestration, pipeline runner, configuration, plugin registry, lifecycle management. - * Exports: `SemantiCore`, `PipelineBuilder`, `Config`, `PluginManager`. + * **Responsibilities:** orchestration, pipeline runner, configuration, plugin registry, lifecycle management. + * **Exports:** `SemantiCore`, `PipelineBuilder`, `Config`, `PluginManager`. + * **Submodules:** + - **orchestrator:** Pipeline coordination, task scheduling, resource management + - **config_manager:** YAML/JSON config parsing, environment variables, validation + - **plugin_registry:** Dynamic plugin loading, version compatibility, dependency resolution + - **lifecycle:** Startup/shutdown hooks, health checks, graceful degradation + * **Functions:** + - `SemantiCore.initialize()` - Setup all modules and connections + - `SemantiCore.run_pipeline()` - Execute complete processing pipeline + - `SemantiCore.get_status()` - Return system health and metrics + - `PipelineBuilder.add_step()` - Add processing step to pipeline + - `PipelineBuilder.set_parallelism()` - Configure parallel execution + - `Config.validate()` - Validate configuration against schema + - `PluginManager.load_plugin()` - Dynamically load plugin modules + - `PluginManager.list_plugins()` - Show available plugins and versions 2. **ingest** - * Submodules: `file`, `web`, `feed`, `stream`, `repo`, `email`, `db_export`. - * Features: format detection, connector registry, backpressure support, incremental ingestion, resume tokens. + * **Submodules:** `file`, `web`, `feed`, `stream`, `repo`, `email`, `db_export`. + * **Features:** format detection, connector registry, backpressure support, incremental ingestion, resume tokens. + * **Detailed Submodules:** + - **file:** Local file system, network drives, cloud storage (S3, GCS, Azure) + - **web:** HTTP/HTTPS scraping, RSS feeds, sitemap crawling, JavaScript rendering + - **feed:** RSS/Atom feeds, social media APIs, news aggregators + - **stream:** Real-time data streams, WebSocket connections, message queues + - **repo:** Git repositories, SVN, Mercurial, package managers + - **email:** IMAP/POP3, Exchange, Gmail API, email archives + - **db_export:** Database dumps, SQL queries, NoSQL exports, ETL pipelines + * **Functions:** + - `FileIngestor.scan_directory()` - Recursively scan directory for files + - `FileIngestor.detect_format()` - Auto-detect file type and encoding + - `WebIngestor.crawl_site()` - Crawl website with depth and rate limiting + - `WebIngestor.extract_links()` - Extract and follow hyperlinks + - `FeedIngestor.parse_rss()` - Parse RSS/Atom feeds with metadata + - `StreamIngestor.connect()` - Establish real-time data connection + - `RepoIngestor.clone_repo()` - Clone and track repository changes + - `EmailIngestor.connect_imap()` - Connect to email server + - `DBIngestor.export_table()` - Export database table to structured format + - `IngestManager.resume_from_token()` - Resume interrupted ingestion + - `IngestManager.get_progress()` - Monitor ingestion progress + - `ConnectorRegistry.register()` - Register custom data connectors 3. **parse** - * Submodules: `pdf`, `docx`, `pptx`, `excel`, `html`, `jsonl`, `csv`, `latex`, `images`, `tables`. - * Features: layout-aware extraction, OCR integration (Tesseract/Google Vision), table extraction (Camelot, Tabula), figure extraction. + * **Submodules:** `pdf`, `docx`, `pptx`, `excel`, `html`, `jsonl`, `csv`, `latex`, `images`, `tables`. + * **Features:** layout-aware extraction, OCR integration (Tesseract/Google Vision), table extraction (Camelot, Tabula), figure extraction. + * **Detailed Submodules:** + - **pdf:** PDF text extraction, form fields, annotations, embedded images, digital signatures + - **docx:** Word document text, styles, headers, footers, embedded objects, track changes + - **pptx:** PowerPoint slides, speaker notes, embedded media, animations, slide masters + - **excel:** Spreadsheet data, formulas, charts, pivot tables, multiple sheets, cell formatting + - **html:** Web page content, DOM structure, CSS styling, JavaScript content, meta tags + - **jsonl:** JSON Lines parsing, schema inference, validation, error handling + - **csv:** Comma/tab separated values, custom delimiters, header detection, data types + - **latex:** Mathematical equations, document structure, bibliography, cross-references + - **images:** OCR text extraction, image metadata, EXIF data, face detection, object recognition + - **tables:** Table structure detection, cell merging, header identification, data extraction + * **Functions:** + - `PDFParser.extract_text()` - Extract text with positioning and formatting + - `PDFParser.extract_tables()` - Extract tables using Camelot/Tabula + - `PDFParser.extract_images()` - Extract embedded images and figures + - `DOCXParser.get_document_structure()` - Extract document outline and sections + - `DOCXParser.extract_track_changes()` - Extract revision history + - `PPTXParser.extract_slides()` - Extract slide content and speaker notes + - `ExcelParser.read_sheet()` - Read specific worksheet with data types + - `ExcelParser.extract_charts()` - Extract chart data and metadata + - `HTMLParser.parse_dom()` - Parse HTML into structured DOM tree + - `HTMLParser.extract_metadata()` - Extract meta tags and structured data + - `ImageParser.ocr_text()` - Perform OCR using Tesseract/Google Vision + - `ImageParser.detect_objects()` - Detect objects and faces in images + - `TableParser.detect_structure()` - Detect table boundaries and headers + - `TableParser.extract_cells()` - Extract individual cell data + - `ParserRegistry.get_parser()` - Get appropriate parser for file type + - `ParserRegistry.supported_formats()` - List all supported file formats 4. **normalize** - * Responsibilities: text cleaning, language detection, encoding normalization, named entity canonicalization, date normalization. + * **Responsibilities:** text cleaning, language detection, encoding normalization, named entity canonicalization, date normalization. + * **Submodules:** + - **text_cleaner:** HTML tag removal, whitespace normalization, special character handling + - **language_detector:** Multi-language identification, confidence scoring, language families + - **encoding_handler:** UTF-8 conversion, BOM detection, encoding validation + - **entity_normalizer:** Named entity standardization, acronym expansion, aliases mapping + - **date_normalizer:** Date format detection, timezone handling, relative date resolution + - **number_normalizer:** Number format standardization, unit conversion, currency handling + * **Functions:** + - `TextCleaner.remove_html()` - Strip HTML tags and preserve text content + - `TextCleaner.normalize_whitespace()` - Standardize spacing and line breaks + - `TextCleaner.remove_special_chars()` - Clean special characters and symbols + - `LanguageDetector.detect()` - Identify text language with confidence score + - `LanguageDetector.supported_languages()` - List all supported languages + - `EncodingHandler.normalize()` - Convert to UTF-8 and validate encoding + - `EncodingHandler.detect_encoding()` - Auto-detect file encoding + - `EntityNormalizer.canonicalize()` - Standardize entity names and aliases + - `EntityNormalizer.expand_acronyms()` - Expand abbreviations and acronyms + - `DateNormalizer.parse_date()` - Parse various date formats to ISO standard + - `DateNormalizer.resolve_relative()` - Convert relative dates to absolute + - `NumberNormalizer.standardize()` - Convert numbers to standard format + - `NumberNormalizer.convert_units()` - Convert between measurement units + - `NormalizationPipeline.run()` - Execute complete normalization pipeline + - `NormalizationPipeline.get_stats()` - Return normalization statistics 5. **split** - * Chunking strategies: sliding window, semantic chunking, structural (section-aware), table-aware splitting. - * Preserves provenance for each chunk. + * **Chunking strategies:** sliding window, semantic chunking, structural (section-aware), table-aware splitting. + * **Preserves provenance for each chunk.** + * **Submodules:** + - **sliding_window:** Fixed-size chunks with overlap, configurable window size and stride + - **semantic_chunker:** Meaning-based splitting using NLP, sentence boundaries, topic detection + - **structural_chunker:** Document-aware splitting, section headers, paragraph boundaries + - **table_chunker:** Table-aware splitting, preserve table structure and relationships + - **provenance_tracker:** Source tracking, offset mapping, confidence scoring + - **chunk_validator:** Chunk quality assessment, overlap detection, size validation + * **Functions:** + - `SlidingWindowChunker.split()` - Create fixed-size chunks with overlap + - `SlidingWindowChunker.set_window_size()` - Configure chunk size and overlap + - `SemanticChunker.split_by_meaning()` - Split based on semantic boundaries + - `SemanticChunker.detect_topics()` - Identify topic changes for splitting + - `StructuralChunker.split_by_sections()` - Split on document structure + - `StructuralChunker.identify_headers()` - Detect section headers and levels + - `TableChunker.preserve_tables()` - Keep tables intact during splitting + - `TableChunker.extract_table_context()` - Extract surrounding context for tables + - `ProvenanceTracker.track_source()` - Track original source and position + - `ProvenanceTracker.get_provenance()` - Retrieve chunk source information + - `ChunkValidator.validate_chunk()` - Validate chunk quality and size + - `ChunkValidator.detect_overlaps()` - Find overlapping chunks + - `SplitManager.run_strategy()` - Execute chosen splitting strategy + - `SplitManager.get_chunk_stats()` - Return chunking statistics + - `SplitManager.merge_chunks()` - Combine related chunks when needed 6. **semantic_extract** - * Capabilities: NER, relation extraction, event detection, co-reference resolution, entity linking, triple extraction. - * Backends: spaCy, Stanza, HuggingFace pipelines, LLM prompts (for complex relations). + * **Capabilities:** NER, relation extraction, event detection, co-reference resolution, entity linking, triple extraction. + * **Backends:** spaCy, Stanza, HuggingFace pipelines, LLM prompts (for complex relations). + * **Submodules:** + - **ner_extractor:** Named entity recognition, entity classification, confidence scoring + - **relation_extractor:** Relationship detection, relation classification, dependency parsing + - **event_detector:** Event identification, temporal extraction, event participants + - **coref_resolver:** Co-reference resolution, pronoun resolution, entity linking + - **triple_extractor:** Subject-predicate-object extraction, RDF triple generation + - **llm_enhancer:** LLM-based extraction, complex relation detection, reasoning + - **extraction_validator:** Quality assessment, confidence thresholds, validation rules + * **Functions:** + - `NERExtractor.extract_entities()` - Extract named entities with types and confidence + - `NERExtractor.classify_entities()` - Classify entities into predefined categories + - `RelationExtractor.find_relations()` - Detect relationships between entities + - `RelationExtractor.classify_relations()` - Classify relation types and directions + - `EventDetector.detect_events()` - Identify events and their participants + - `EventDetector.extract_temporal()` - Extract temporal information for events + - `CorefResolver.resolve_references()` - Resolve co-references and pronouns + - `CorefResolver.link_entities()` - Link entities across document sections + - `TripleExtractor.extract_triples()` - Extract RDF-style triples + - `TripleExtractor.validate_triples()` - Validate triple structure and consistency + - `LLMEnhancer.enhance_extraction()` - Use LLM for complex extraction tasks + - `LLMEnhancer.detect_patterns()` - Identify complex patterns and relationships + - `ExtractionValidator.validate_quality()` - Assess extraction quality + - `ExtractionValidator.filter_by_confidence()` - Filter results by confidence score + - `ExtractionPipeline.run()` - Execute complete extraction pipeline + - `ExtractionPipeline.get_results()` - Return structured extraction results 7. **ontology** - * OntologyGenerator: infer classes/properties, generate OWL/RDF, map to base ontologies (schema.org, FOAF, DC), versioning. + * **OntologyGenerator:** infer classes/properties, generate OWL/RDF, map to base ontologies (schema.org, FOAF, DC), versioning. + * **Submodules:** + - **class_inferrer:** Automatic class discovery, hierarchy inference, class relationships + - **property_generator:** Property inference, data type detection, cardinality analysis + - **owl_generator:** OWL/RDF generation, ontology serialization, format conversion + - **base_mapper:** Schema.org integration, FOAF mapping, Dublin Core alignment + - **version_manager:** Ontology versioning, change tracking, migration support + - **ontology_validator:** Schema validation, consistency checking, constraint validation + - **domain_ontologies:** Pre-built ontologies for common domains (finance, healthcare, legal) + * **Functions:** + - `ClassInferrer.infer_classes()` - Automatically discover entity classes + - `ClassInferrer.build_hierarchy()` - Build class inheritance hierarchy + - `ClassInferrer.analyze_relationships()` - Analyze class relationships and dependencies + - `PropertyGenerator.infer_properties()` - Infer object and data properties + - `PropertyGenerator.detect_data_types()` - Detect property data types and constraints + - `PropertyGenerator.analyze_cardinality()` - Analyze property cardinality (one-to-many, etc.) + - `OWLGenerator.generate_owl()` - Generate OWL ontology in RDF/XML format + - `OWLGenerator.serialize_rdf()` - Serialize to various RDF formats (Turtle, N-Triples) + - `BaseMapper.map_to_schema_org()` - Map entities to schema.org vocabulary + - `BaseMapper.map_to_foaf()` - Map to FOAF (Friend of a Friend) ontology + - `BaseMapper.map_to_dublin_core()` - Map to Dublin Core metadata standards + - `VersionManager.create_version()` - Create new ontology version + - `VersionManager.track_changes()` - Track changes between versions + - `VersionManager.migrate_ontology()` - Support ontology migration and updates + - `OntologyValidator.validate_schema()` - Validate ontology schema consistency + - `OntologyValidator.check_constraints()` - Check ontology constraint violations + - `DomainOntologies.get_finance_ontology()` - Get pre-built financial ontology + - `DomainOntologies.get_healthcare_ontology()` - Get pre-built healthcare ontology + - `OntologyManager.build_ontology()` - Build complete ontology from extracted data + - `OntologyManager.export_ontology()` - Export ontology in various formats 8. **triple_store** - * Adapters: Blazegraph, Apache Jena, RDF4J, GraphDB, Virtuoso — export/import, bulk load. + * **Adapters:** Blazegraph, Apache Jena, RDF4J, GraphDB, Virtuoso — export/import, bulk load. + * **Submodules:** + - **blazegraph_adapter:** Blazegraph integration, SPARQL queries, bulk operations + - **jena_adapter:** Apache Jena integration, RDF model management, inference engine + - **rdf4j_adapter:** RDF4J integration, repository management, transaction support + - **graphdb_adapter:** GraphDB integration, reasoning capabilities, visualization + - **virtuoso_adapter:** Virtuoso integration, high-performance queries, clustering + - **triple_manager:** Triple CRUD operations, batch processing, validation + - **query_engine:** SPARQL query execution, query optimization, result formatting + - **bulk_loader:** High-volume data loading, indexing, performance optimization + * **Functions:** + - `BlazegraphAdapter.connect()` - Connect to Blazegraph instance + - `BlazegraphAdapter.execute_sparql()` - Execute SPARQL queries + - `BlazegraphAdapter.bulk_load()` - Load triples in bulk + - `JenaAdapter.create_model()` - Create and manage RDF models + - `JenaAdapter.add_triples()` - Add triples to model + - `JenaAdapter.run_inference()` - Execute inference rules + - `RDF4JAdapter.create_repository()` - Create and configure repositories + - `RDF4JAdapter.begin_transaction()` - Start transaction for batch operations + - `GraphDBAdapter.enable_reasoning()` - Enable reasoning capabilities + - `GraphDBAdapter.visualize_graph()` - Generate graph visualizations + - `VirtuosoAdapter.connect_cluster()` - Connect to Virtuoso cluster + - `VirtuosoAdapter.optimize_queries()` - Optimize query performance + - `TripleManager.add_triple()` - Add single triple to store + - `TripleManager.add_triples()` - Add multiple triples + - `TripleManager.delete_triple()` - Delete specific triple + - `TripleManager.update_triple()` - Update existing triple + - `QueryEngine.execute_sparql()` - Execute SPARQL queries + - `QueryEngine.optimize_query()` - Optimize query for performance + - `QueryEngine.format_results()` - Format query results + - `BulkLoader.load_file()` - Load triples from file + - `BulkLoader.create_indexes()` - Create database indexes + - `BulkLoader.monitor_progress()` - Monitor loading progress + - `TripleStoreManager.get_store_info()` - Get store statistics and status + - `TripleStoreManager.backup_store()` - Create backup of store + - `TripleStoreManager.restore_store()` - Restore from backup 9. **kg** (knowledge graph) - * Graph builder, entity resolution, deduplication, seed manager, provenance, conflict detector, conflict resolution UI hooks. + * **Graph builder, entity resolution, deduplication, seed manager, provenance, conflict detector, conflict resolution UI hooks.** + * **Submodules:** + - **graph_builder:** Knowledge graph construction, node creation, edge management + - **entity_resolver:** Entity disambiguation, identity resolution, merge strategies + - **deduplicator:** Duplicate detection, entity merging, conflict resolution + - **seed_manager:** Initial data loading, foundation entities, baseline knowledge + - **provenance_tracker:** Source tracking, extraction history, confidence scoring + - **conflict_detector:** Conflict identification, severity classification, resolution workflows + - **graph_validator:** Graph consistency, schema validation, quality metrics + - **graph_analyzer:** Graph analytics, centrality measures, community detection + * **Functions:** + - `GraphBuilder.create_node()` - Create knowledge graph node + - `GraphBuilder.create_edge()` - Create relationship edge between nodes + - `GraphBuilder.build_subgraph()` - Build subgraph from specific entities + - `GraphBuilder.merge_graphs()` - Merge multiple knowledge graphs + - `EntityResolver.resolve_identity()` - Resolve entity identity across sources + - `EntityResolver.merge_entities()` - Merge duplicate entities + - `EntityResolver.get_canonical()` - Get canonical entity representation + - `Deduplicator.find_duplicates()` - Find duplicate entities + - `Deduplicator.merge_duplicates()` - Merge duplicate entities + - `Deduplicator.validate_merge()` - Validate merge operation + - `SeedManager.load_seed_data()` - Load initial seed data + - `SeedManager.validate_seed_data()` - Validate seed data quality + - `SeedManager.update_seed_data()` - Update existing seed data + - `ProvenanceTracker.track_source()` - Track information source + - `ProvenanceTracker.get_provenance()` - Retrieve provenance information + - `ProvenanceTracker.calculate_confidence()` - Calculate confidence scores + - `ConflictDetector.detect_conflicts()` - Detect conflicts between sources + - `ConflictDetector.classify_severity()` - Classify conflict severity + - `ConflictDetector.create_resolution_workflow()` - Create resolution workflow + - `GraphValidator.validate_consistency()` - Validate graph consistency + - `GraphValidator.check_schema_compliance()` - Check schema compliance + - `GraphValidator.calculate_quality_metrics()` - Calculate quality metrics + - `GraphAnalyzer.calculate_centrality()` - Calculate node centrality + - `GraphAnalyzer.detect_communities()` - Detect community structures + - `GraphAnalyzer.analyze_connectivity()` - Analyze graph connectivity + - `KnowledgeGraphManager.build_graph()` - Build complete knowledge graph + - `KnowledgeGraphManager.export_graph()` - Export graph in various formats + - `KnowledgeGraphManager.visualize_graph()` - Generate graph visualizations 10. **embeddings** - * SemanticEmbedder: multi-modal embeddings, context windows, pooling strategies, embedding provider adapters (OpenAI, BGE, Llama‑embeddings). + * **SemanticEmbedder:** multi-modal embeddings, context windows, pooling strategies, embedding provider adapters (OpenAI, BGE, Llama‑embeddings). + * **Submodules:** + - **text_embedder:** Text-based embeddings, sentence transformers, document embeddings + - **image_embedder:** Image embeddings, vision models, multi-modal fusion + - **audio_embedder:** Audio embeddings, speech recognition, audio analysis + - **multimodal_embedder:** Cross-modal embeddings, fusion strategies, alignment + - **context_manager:** Context window management, sliding windows, attention mechanisms + - **pooling_strategies:** Mean pooling, max pooling, attention pooling, hierarchical pooling + - **provider_adapters:** OpenAI, BGE, Llama, custom model integrations + - **embedding_optimizer:** Embedding optimization, dimensionality reduction, clustering + * **Functions:** + - `TextEmbedder.embed_text()` - Generate text embeddings + - `TextEmbedder.embed_sentence()` - Generate sentence-level embeddings + - `TextEmbedder.embed_document()` - Generate document-level embeddings + - `ImageEmbedder.embed_image()` - Generate image embeddings + - `ImageEmbedder.extract_features()` - Extract visual features + - `ImageEmbedder.embed_batch()` - Process multiple images + - `AudioEmbedder.embed_audio()` - Generate audio embeddings + - `AudioEmbedder.extract_audio_features()` - Extract audio features + - `MultimodalEmbedder.fuse_embeddings()` - Fuse multiple modality embeddings + - `MultimodalEmbedder.align_modalities()` - Align different modality representations + - `ContextManager.set_window_size()` - Set context window size + - `ContextManager.apply_sliding_window()` - Apply sliding window approach + - `ContextManager.manage_attention()` - Manage attention mechanisms + - `PoolingStrategies.mean_pooling()` - Apply mean pooling strategy + - `PoolingStrategies.max_pooling()` - Apply max pooling strategy + - `PoolingStrategies.attention_pooling()` - Apply attention-based pooling + - `ProviderAdapter.connect_openai()` - Connect to OpenAI embedding API + - `ProviderAdapter.connect_bge()` - Connect to BGE embedding service + - `ProviderAdapter.connect_llama()` - Connect to Llama embedding model + - `ProviderAdapter.load_custom_model()` - Load custom embedding model + - `EmbeddingOptimizer.optimize_dimensions()` - Optimize embedding dimensions + - `EmbeddingOptimizer.apply_clustering()` - Apply clustering to embeddings + - `EmbeddingOptimizer.calculate_similarity()` - Calculate embedding similarities + - `SemanticEmbedder.generate_embeddings()` - Generate embeddings for input + - `SemanticEmbedder.batch_process()` - Process multiple inputs in batch + - `SemanticEmbedder.get_embedding_stats()` - Get embedding statistics 11. **vector_store** - * Adapters: Pinecone, FAISS, Milvus, Weaviate, Qdrant. Features: namespace, metadata store, hybrid search. + * **Adapters:** Pinecone, FAISS, Milvus, Weaviate, Qdrant. Features: namespace, metadata store, hybrid search. + * **Submodules:** + - **pinecone_adapter:** Pinecone integration, index management, vector operations + - **faiss_adapter:** FAISS integration, index types, similarity search + - **milvus_adapter:** Milvus integration, collection management, distributed search + - **weaviate_adapter:** Weaviate integration, schema management, graphQL queries + - **qdrant_adapter:** Qdrant integration, point management, filtering + - **namespace_manager:** Namespace isolation, access control, data separation + - **metadata_store:** Metadata indexing, filtering, search capabilities + - **hybrid_search:** Vector + metadata search, ranking algorithms, result fusion + - **index_optimizer:** Index optimization, performance tuning, maintenance + * **Functions:** + - `PineconeAdapter.connect()` - Connect to Pinecone service + - `PineconeAdapter.create_index()` - Create new vector index + - `PineconeAdapter.upsert_vectors()` - Insert or update vectors + - `PineconeAdapter.query_vectors()` - Query similar vectors + - `FAISSAdapter.create_index()` - Create FAISS index + - `FAISSAdapter.add_vectors()` - Add vectors to index + - `FAISSAdapter.search_similar()` - Search for similar vectors + - `FAISSAdapter.save_index()` - Save index to disk + - `MilvusAdapter.create_collection()` - Create Milvus collection + - `MilvusAdapter.insert_vectors()` - Insert vectors into collection + - `MilvusAdapter.search_vectors()` - Search vectors in collection + - `WeaviateAdapter.create_schema()` - Create Weaviate schema + - `WeaviateAdapter.add_objects()` - Add objects to Weaviate + - `WeaviateAdapter.graphql_query()` - Execute GraphQL queries + - `QdrantAdapter.create_collection()` - Create Qdrant collection + - `QdrantAdapter.upsert_points()` - Insert or update points + - `QdrantAdapter.search_points()` - Search points with filters + - `NamespaceManager.create_namespace()` - Create isolated namespace + - `NamespaceManager.set_access_control()` - Set namespace permissions + - `NamespaceManager.list_namespaces()` - List available namespaces + - `MetadataStore.index_metadata()` - Index metadata for search + - `MetadataStore.filter_by_metadata()` - Filter results by metadata + - `MetadataStore.search_metadata()` - Search metadata content + - `HybridSearch.combine_results()` - Combine vector and metadata results + - `HybridSearch.rank_results()` - Rank results using multiple criteria + - `HybridSearch.fuse_results()` - Fuse results from different sources + - `IndexOptimizer.optimize_index()` - Optimize index performance + - `IndexOptimizer.rebuild_index()` - Rebuild index for better performance + - `IndexOptimizer.get_performance_metrics()` - Get index performance metrics + - `VectorStoreManager.get_store_info()` - Get store information + - `VectorStoreManager.backup_store()` - Create store backup + - `VectorStoreManager.restore_store()` - Restore from backup 12. **reasoning** - * Inference rules, SPARQL-based reasoning, Rete-like rule engine hooks, abductive/deductive inference. + * **Inference rules, SPARQL-based reasoning, Rete-like rule engine hooks, abductive/deductive inference.** + * **Submodules:** + - **inference_engine:** Rule-based inference, forward/backward chaining, conflict resolution + - **sparql_reasoner:** SPARQL-based reasoning, query expansion, result inference + - **rete_engine:** Rete algorithm implementation, pattern matching, rule execution + - **abductive_reasoner:** Abductive reasoning, hypothesis generation, explanation finding + - **deductive_reasoner:** Deductive reasoning, logical inference, theorem proving + - **rule_manager:** Rule definition, rule validation, rule execution tracking + - **reasoning_validator:** Reasoning validation, consistency checking, error detection + - **explanation_generator:** Explanation generation, reasoning paths, justification + * **Functions:** + - `InferenceEngine.add_rule()` - Add inference rule to engine + - `InferenceEngine.execute_rules()` - Execute inference rules + - `InferenceEngine.forward_chain()` - Perform forward chaining + - `InferenceEngine.backward_chain()` - Perform backward chaining + - `InferenceEngine.resolve_conflicts()` - Resolve rule conflicts + - `SPARQLReasoner.expand_query()` - Expand SPARQL query with reasoning + - `SPARQLReasoner.infer_results()` - Infer additional results + - `SPARQLReasoner.apply_reasoning()` - Apply reasoning to query results + - `ReteEngine.compile_rules()` - Compile rules into Rete network + - `ReteEngine.match_patterns()` - Match patterns using Rete algorithm + - `ReteEngine.execute_matches()` - Execute matched rules + - `AbductiveReasoner.generate_hypotheses()` - Generate explanatory hypotheses + - `AbductiveReasoner.find_explanations()` - Find explanations for observations + - `AbductiveReasoner.rank_hypotheses()` - Rank hypotheses by plausibility + - `DeductiveReasoner.apply_logic()` - Apply logical inference rules + - `DeductiveReasoner.prove_theorem()` - Prove logical theorems + - `DeductiveReasoner.validate_argument()` - Validate logical arguments + - `RuleManager.define_rule()` - Define new inference rule + - `RuleManager.validate_rule()` - Validate rule syntax and logic + - `RuleManager.track_execution()` - Track rule execution history + - `ReasoningValidator.validate_reasoning()` - Validate reasoning process + - `ReasoningValidator.check_consistency()` - Check reasoning consistency + - `ReasoningValidator.detect_errors()` - Detect reasoning errors + - `ExplanationGenerator.generate_explanation()` - Generate reasoning explanation + - `ExplanationGenerator.show_reasoning_path()` - Show reasoning path + - `ExplanationGenerator.justify_conclusion()` - Justify reasoning conclusion + - `ReasoningManager.run_reasoning()` - Run complete reasoning process + - `ReasoningManager.get_reasoning_results()` - Get reasoning results + - `ReasoningManager.export_reasoning()` - Export reasoning process 13. **pipeline** - * PipelineBuilder, failure/retry semantics, parallelism strategies, resource scheduling. + * **PipelineBuilder, failure/retry semantics, parallelism strategies, resource scheduling.** + * **Submodules:** + - **pipeline_builder:** Pipeline construction, step configuration, dependency management + - **execution_engine:** Pipeline execution, step orchestration, progress tracking + - **failure_handler:** Error handling, retry logic, fallback strategies + - **parallelism_manager:** Parallel execution, resource allocation, load balancing + - **resource_scheduler:** Resource management, CPU/GPU allocation, memory optimization + - **pipeline_validator:** Pipeline validation, dependency checking, cycle detection + - **monitoring_hooks:** Execution monitoring, metrics collection, alerting + - **pipeline_templates:** Pre-built pipeline templates, common workflows + * **Functions:** + - `PipelineBuilder.add_step()` - Add processing step to pipeline + - `PipelineBuilder.set_dependencies()` - Set step dependencies + - `PipelineBuilder.configure_step()` - Configure step parameters + - `PipelineBuilder.validate_pipeline()` - Validate pipeline configuration + - `ExecutionEngine.run_pipeline()` - Execute complete pipeline + - `ExecutionEngine.pause_pipeline()` - Pause pipeline execution + - `ExecutionEngine.resume_pipeline()` - Resume paused pipeline + - `ExecutionEngine.get_progress()` - Get execution progress + - `FailureHandler.handle_error()` - Handle execution errors + - `FailureHandler.retry_step()` - Retry failed step + - `FailureHandler.apply_fallback()` - Apply fallback strategy + - `ParallelismManager.set_parallelism()` - Set parallel execution level + - `ParallelismManager.allocate_resources()` - Allocate execution resources + - `ParallelismManager.load_balance()` - Balance load across resources + - `ResourceScheduler.allocate_cpu()` - Allocate CPU resources + - `ResourceScheduler.allocate_gpu()` - Allocate GPU resources + - `ResourceScheduler.optimize_memory()` - Optimize memory usage + - `PipelineValidator.check_dependencies()` - Check step dependencies + - `PipelineValidator.detect_cycles()` - Detect dependency cycles + - `PipelineValidator.validate_configuration()` - Validate pipeline configuration + - `MonitoringHooks.collect_metrics()` - Collect execution metrics + - `MonitoringHooks.set_alerts()` - Set execution alerts + - `MonitoringHooks.get_status()` - Get pipeline status + - `PipelineTemplates.get_template()` - Get pre-built pipeline template + - `PipelineTemplates.customize_template()` - Customize template for specific use case + - `PipelineTemplates.save_template()` - Save custom pipeline template + - `PipelineManager.create_pipeline()` - Create new pipeline + - `PipelineManager.schedule_pipeline()` - Schedule pipeline execution + - `PipelineManager.monitor_pipelines()` - Monitor all running pipelines 14. **streaming** - * Integration: Kafka, Pulsar, RabbitMQ, Kinesis; exactly-once semantics where feasible; checkpoints. + * **Integration:** Kafka, Pulsar, RabbitMQ, Kinesis; exactly-once semantics where feasible; checkpoints. + * **Submodules:** + - **kafka_adapter:** Apache Kafka integration, producer/consumer management, topic management + - **pulsar_adapter:** Apache Pulsar integration, subscription management, message routing + - **rabbitmq_adapter:** RabbitMQ integration, queue management, exchange routing + - **kinesis_adapter:** AWS Kinesis integration, stream management, shard handling + - **stream_processor:** Stream processing logic, windowing, aggregation + - **checkpoint_manager:** Checkpoint creation, recovery, consistency management + - **exactly_once:** Exactly-once semantics, idempotency, deduplication + - **stream_monitor:** Stream monitoring, metrics collection, health checks + - **backpressure_handler:** Backpressure management, flow control, rate limiting + * **Functions:** + - `KafkaAdapter.connect()` - Connect to Kafka cluster + - `KafkaAdapter.create_topic()` - Create new Kafka topic + - `KafkaAdapter.produce_message()` - Produce message to topic + - `KafkaAdapter.consume_messages()` - Consume messages from topic + - `KafkaAdapter.manage_partitions()` - Manage topic partitions + - `PulsarAdapter.connect()` - Connect to Pulsar cluster + - `PulsarAdapter.create_subscription()` - Create message subscription + - `PulsarAdapter.publish_message()` - Publish message to topic + - `PulsarAdapter.receive_messages()` - Receive messages from subscription + - `RabbitMQAdapter.connect()` - Connect to RabbitMQ server + - `RabbitMQAdapter.create_queue()` - Create message queue + - `RabbitMQAdapter.publish_message()` - Publish message to exchange + - `RabbitMQAdapter.consume_queue()` - Consume messages from queue + - `KinesisAdapter.connect()` - Connect to Kinesis stream + - `KinesisAdapter.create_stream()` - Create new Kinesis stream + - `KinesisAdapter.put_record()` - Put record to stream + - `KinesisAdapter.get_records()` - Get records from stream + - `StreamProcessor.process_stream()` - Process incoming stream data + - `StreamProcessor.apply_windowing()` - Apply time-based windowing + - `StreamProcessor.aggregate_data()` - Aggregate stream data + - `CheckpointManager.create_checkpoint()` - Create processing checkpoint + - `CheckpointManager.recover_from_checkpoint()` - Recover from checkpoint + - `CheckpointManager.manage_consistency()` - Manage checkpoint consistency + - `ExactlyOnce.enable_idempotency()` - Enable idempotent processing + - `ExactlyOnce.deduplicate_messages()` - Remove duplicate messages + - `ExactlyOnce.ensure_consistency()` - Ensure exactly-once consistency + - `StreamMonitor.collect_metrics()` - Collect stream processing metrics + - `StreamMonitor.check_health()` - Check stream health status + - `StreamMonitor.set_alerts()` - Set monitoring alerts + - `BackpressureHandler.manage_flow()` - Manage data flow control + - `BackpressureHandler.apply_rate_limiting()` - Apply rate limiting + - `BackpressureHandler.handle_backpressure()` - Handle backpressure situations + - `StreamingManager.create_stream()` - Create new data stream + - `StreamingManager.monitor_streams()` - Monitor all active streams + - `StreamingManager.get_stream_stats()` - Get stream statistics 15. **domains** - * Domain-specific processors (cybersecurity, biomedical, finance, legal). Each provides templates, mapping rules, ontologies, and extractors. + * **Domain-specific processors (cybersecurity, biomedical, finance, legal). Each provides templates, mapping rules, ontologies, and extractors.** + * **Submodules:** + - **cybersecurity_processor:** Security domain processing, threat detection, vulnerability analysis + - **biomedical_processor:** Medical domain processing, drug discovery, clinical data analysis + - **finance_processor:** Financial domain processing, market analysis, risk assessment + - **legal_processor:** Legal domain processing, contract analysis, regulation compliance + - **domain_templates:** Domain-specific templates, schemas, data models + - **mapping_rules:** Domain mapping rules, entity relationships, vocabulary mapping + - **domain_ontologies:** Domain-specific ontologies, taxonomies, classification systems + - **domain_extractors:** Specialized extractors for domain entities and relationships + - **domain_validator:** Domain-specific validation rules, compliance checking + * **Functions:** + - `CybersecurityProcessor.detect_threats()` - Detect security threats and vulnerabilities + - `CybersecurityProcessor.analyze_attacks()` - Analyze attack patterns and techniques + - `CybersecurityProcessor.assess_risks()` - Assess security risks and impact + - `BiomedicalProcessor.analyze_clinical_data()` - Analyze clinical trial data + - `BiomedicalProcessor.drug_discovery()` - Support drug discovery processes + - `BiomedicalProcessor.medical_entity_extraction()` - Extract medical entities + - `FinanceProcessor.market_analysis()` - Analyze market trends and patterns + - `FinanceProcessor.risk_assessment()` - Assess financial risks + - `FinanceProcessor.compliance_checking()` - Check regulatory compliance + - `LegalProcessor.contract_analysis()` - Analyze legal contracts + - `LegalProcessor.regulation_compliance()` - Check regulatory compliance + - `LegalProcessor.case_law_analysis()` - Analyze case law and precedents + - `DomainTemplates.get_template()` - Get domain-specific template + - `DomainTemplates.customize_template()` - Customize template for specific use case + - `DomainTemplates.validate_template()` - Validate template compliance + - `MappingRules.define_rules()` - Define domain mapping rules + - `MappingRules.apply_mapping()` - Apply mapping to data + - `MappingRules.validate_mapping()` - Validate mapping consistency + - `DomainOntologies.get_ontology()` - Get domain-specific ontology + - `DomainOntologies.extend_ontology()` - Extend ontology with new concepts + - `DomainOntologies.validate_ontology()` - Validate ontology consistency + - `DomainExtractors.extract_entities()` - Extract domain-specific entities + - `DomainExtractors.extract_relationships()` - Extract domain relationships + - `DomainExtractors.validate_extraction()` - Validate extraction quality + - `DomainValidator.check_compliance()` - Check domain compliance + - `DomainValidator.validate_data()` - Validate domain data quality + - `DomainValidator.generate_report()` - Generate compliance report + - `DomainManager.register_domain()` - Register new domain processor + - `DomainManager.get_domain()` - Get domain processor + - `DomainManager.list_domains()` - List available domains 16. **qa_rag** - * RAG-optimised tools: semantic chunker, prompt templates, retrieval policies, answer justification, provenance-aware answer builder. + * **RAG-optimised tools: semantic chunker, prompt templates, retrieval policies, answer justification, provenance-aware answer builder.** + * **Submodules:** + - **semantic_chunker:** Intelligent text chunking, context-aware splitting, overlap management + - **prompt_templates:** RAG prompt templates, question formatting, context injection + - **retrieval_policies:** Retrieval strategies, ranking algorithms, result filtering + - **answer_builder:** Answer construction, context integration, source attribution + - **provenance_tracker:** Source tracking, confidence scoring, evidence linking + - **answer_validator:** Answer validation, fact checking, consistency verification + - **rag_optimizer:** RAG performance optimization, query enhancement, result ranking + - **conversation_manager:** Multi-turn conversations, context management, history tracking + * **Functions:** + - `SemanticChunker.chunk_text()` - Create semantic chunks with context + - `SemanticChunker.optimize_chunks()` - Optimize chunk size and overlap + - `SemanticChunker.merge_chunks()` - Merge related chunks when needed + - `PromptTemplates.get_template()` - Get RAG prompt template + - `PromptTemplates.format_question()` - Format question for retrieval + - `PromptTemplates.inject_context()` - Inject retrieved context into prompt + - `RetrievalPolicies.set_strategy()` - Set retrieval strategy + - `RetrievalPolicies.rank_results()` - Rank retrieval results + - `RetrievalPolicies.filter_results()` - Filter results by criteria + - `AnswerBuilder.construct_answer()` - Construct answer from retrieved context + - `AnswerBuilder.integrate_context()` - Integrate multiple context sources + - `AnswerBuilder.attribute_sources()` - Attribute answer to source documents + - `ProvenanceTracker.track_sources()` - Track information sources + - `ProvenanceTracker.calculate_confidence()` - Calculate answer confidence + - `ProvenanceTracker.link_evidence()` - Link answer to supporting evidence + - `AnswerValidator.validate_answer()` - Validate answer accuracy + - `AnswerValidator.fact_check()` - Perform fact checking + - `AnswerValidator.verify_consistency()` - Verify answer consistency + - `RAGOptimizer.optimize_retrieval()` - Optimize retrieval performance + - `RAGOptimizer.enhance_queries()` - Enhance user queries + - `RAGOptimizer.improve_ranking()` - Improve result ranking + - `ConversationManager.start_conversation()` - Start new conversation + - `ConversationManager.add_context()` - Add context to conversation + - `ConversationManager.get_history()` - Get conversation history + - `RAGManager.process_question()` - Process user question + - `RAGManager.get_answer()` - Get RAG-generated answer + - `RAGManager.evaluate_performance()` - Evaluate RAG performance 17. **agents** - * Agent manager & orchestration for multiagent workflows, tools for tool‑use, orchestration policies, cost-awareness, sandboxing. + * **Agent manager & orchestration for multiagent workflows, tools for tool‑use, orchestration policies, cost-awareness, sandboxing.** + * **Submodules:** + - **agent_manager:** Agent lifecycle management, registration, monitoring + - **orchestration_engine:** Multi-agent coordination, workflow management, task distribution + - **tool_registry:** Tool registration, discovery, version management + - **cost_tracker:** Cost monitoring, budget management, resource optimization + - **sandbox_manager:** Agent sandboxing, security isolation, resource limits + - **workflow_engine:** Workflow definition, execution, monitoring + - **agent_communication:** Inter-agent communication, message routing, protocol management + - **policy_enforcer:** Policy enforcement, access control, compliance checking + - **agent_analytics:** Agent performance analytics, behavior analysis, optimization + * **Functions:** + - `AgentManager.register_agent()` - Register new agent + - `AgentManager.start_agent()` - Start agent execution + - `AgentManager.stop_agent()` - Stop agent execution + - `AgentManager.monitor_agent()` - Monitor agent status + - `OrchestrationEngine.coordinate_agents()` - Coordinate multiple agents + - `OrchestrationEngine.distribute_tasks()` - Distribute tasks among agents + - `OrchestrationEngine.manage_workflows()` - Manage agent workflows + - `ToolRegistry.register_tool()` - Register tool for agent use + - `ToolRegistry.discover_tools()` - Discover available tools + - `ToolRegistry.get_tool()` - Get specific tool + - `CostTracker.monitor_costs()` - Monitor agent execution costs + - `CostTracker.set_budget()` - Set cost budget limits + - `CostTracker.optimize_resources()` - Optimize resource usage + - `SandboxManager.create_sandbox()` - Create agent sandbox + - `SandboxManager.isolate_agent()` - Isolate agent execution + - `SandboxManager.set_resource_limits()` - Set resource limits + - `WorkflowEngine.define_workflow()` - Define agent workflow + - `WorkflowEngine.execute_workflow()` - Execute defined workflow + - `WorkflowEngine.monitor_progress()` - Monitor workflow progress + - `AgentCommunication.send_message()` - Send message between agents + - `AgentCommunication.route_message()` - Route message to appropriate agent + - `AgentCommunication.manage_protocols()` - Manage communication protocols + - `PolicyEnforcer.enforce_policy()` - Enforce access policies + - `PolicyEnforcer.check_compliance()` - Check policy compliance + - `PolicyEnforcer.set_permissions()` - Set agent permissions + - `AgentAnalytics.analyze_performance()` - Analyze agent performance + - `AgentAnalytics.analyze_behavior()` - Analyze agent behavior patterns + - `AgentAnalytics.optimize_agents()` - Optimize agent performance + - `MultiAgentManager.create_team()` - Create agent team + - `MultiAgentManager.orchestrate_workflow()` - Orchestrate team workflow + - `MultiAgentManager.get_team_status()` - Get team execution status 18. **ui** - * Web dashboard components: ingestion monitor, KG viewer (graph UI), conflict resolver, analytics dashboard, pipeline editor. + * **Web dashboard components: ingestion monitor, KG viewer (graph UI), conflict resolver, analytics dashboard, pipeline editor.** + * **Submodules:** + - **ingestion_monitor:** Real-time ingestion monitoring, progress tracking, error visualization + - **kg_viewer:** Knowledge graph visualization, interactive graph exploration, node/edge inspection + - **conflict_resolver:** Conflict resolution interface, conflict visualization, resolution workflows + - **analytics_dashboard:** Data analytics, metrics visualization, trend analysis + - **pipeline_editor:** Visual pipeline builder, step configuration, workflow design + - **data_explorer:** Data exploration interface, search capabilities, result filtering + - **user_management:** User authentication, role management, access control + - **notification_system:** Alert notifications, status updates, system announcements + - **report_generator:** Report creation, export functionality, template management + * **Functions:** + - `IngestionMonitor.show_progress()` - Display ingestion progress + - `IngestionMonitor.track_errors()` - Track and display errors + - `IngestionMonitor.show_statistics()` - Show ingestion statistics + - `KGViewer.display_graph()` - Display knowledge graph + - `KGViewer.zoom_graph()` - Zoom and pan graph view + - `KGViewer.search_nodes()` - Search for specific nodes + - `KGViewer.inspect_node()` - Inspect node details + - `KGViewer.inspect_edge()` - Inspect edge relationships + - `ConflictResolver.show_conflicts()` - Display detected conflicts + - `ConflictResolver.resolve_conflict()` - Resolve specific conflict + - `ConflictResolver.create_workflow()` - Create resolution workflow + - `AnalyticsDashboard.show_metrics()` - Display system metrics + - `AnalyticsDashboard.analyze_trends()` - Analyze data trends + - `AnalyticsDashboard.generate_charts()` - Generate data charts + - `PipelineEditor.create_pipeline()` - Create new pipeline + - `PipelineEditor.edit_step()` - Edit pipeline step + - `PipelineEditor.validate_pipeline()` - Validate pipeline configuration + - `DataExplorer.search_data()` - Search through data + - `DataExplorer.filter_results()` - Filter search results + - `DataExplorer.export_results()` - Export search results + - `UserManagement.authenticate_user()` - Authenticate user login + - `UserManagement.manage_roles()` - Manage user roles + - `UserManagement.set_permissions()` - Set user permissions + - `NotificationSystem.send_alert()` - Send system alert + - `NotificationSystem.update_status()` - Update system status + - `NotificationSystem.announce_change()` - Announce system changes + - `ReportGenerator.create_report()` - Create custom report + - `ReportGenerator.export_report()` - Export report in various formats + - `ReportGenerator.manage_templates()` - Manage report templates + - `UIManager.initialize_dashboard()` - Initialize dashboard + - `UIManager.update_components()` - Update UI components + - `UIManager.get_user_preferences()` - Get user preferences 19. **monitoring** - * Metrics, traces (OpenTelemetry), alerts, SLAs, data quality metrics, semantic quality score. + * **Metrics, traces (OpenTelemetry), alerts, SLAs, data quality metrics, semantic quality score.** + * **Submodules:** + - **metrics_collector:** System metrics collection, performance monitoring, resource usage + - **tracing_system:** OpenTelemetry integration, distributed tracing, span management + - **alert_manager:** Alert generation, notification routing, escalation policies + - **sla_monitor:** SLA tracking, performance thresholds, compliance monitoring + - **quality_metrics:** Data quality assessment, semantic quality scoring, validation metrics + - **health_checker:** System health monitoring, component status, dependency checking + - **performance_analyzer:** Performance analysis, bottleneck detection, optimization suggestions + - **log_manager:** Log collection, aggregation, analysis, retention policies + - **dashboard_renderer:** Monitoring dashboard, visualization, real-time updates + * **Functions:** + - `MetricsCollector.collect_metrics()` - Collect system metrics + - `MetricsCollector.monitor_performance()` - Monitor system performance + - `MetricsCollector.track_resources()` - Track resource usage + - `TracingSystem.start_trace()` - Start distributed trace + - `TracingSystem.add_span()` - Add span to trace + - `TracingSystem.end_trace()` - End trace and collect data + - `AlertManager.generate_alert()` - Generate system alert + - `AlertManager.route_notification()` - Route alert notification + - `AlertManager.escalate_alert()` - Escalate critical alerts + - `SLAMonitor.track_sla()` - Track SLA compliance + - `SLAMonitor.check_thresholds()` - Check performance thresholds + - `SLAMonitor.generate_report()` - Generate SLA compliance report + - `QualityMetrics.assess_data_quality()` - Assess data quality + - `QualityMetrics.calculate_semantic_score()` - Calculate semantic quality score + - `QualityMetrics.validate_metrics()` - Validate quality metrics + - `HealthChecker.check_system_health()` - Check overall system health + - `HealthChecker.check_component_status()` - Check individual component status + - `HealthChecker.verify_dependencies()` - Verify system dependencies + - `PerformanceAnalyzer.analyze_performance()` - Analyze system performance + - `PerformanceAnalyzer.detect_bottlenecks()` - Detect performance bottlenecks + - `PerformanceAnalyzer.suggest_optimizations()` - Suggest performance optimizations + - `LogManager.collect_logs()` - Collect system logs + - `LogManager.aggregate_logs()` - Aggregate log data + - `LogManager.analyze_logs()` - Analyze log patterns + - `DashboardRenderer.render_dashboard()` - Render monitoring dashboard + - `DashboardRenderer.update_visualizations()` - Update dashboard visualizations + - `DashboardRenderer.refresh_data()` - Refresh dashboard data + - `MonitoringManager.initialize_monitoring()` - Initialize monitoring system + - `MonitoringManager.get_system_status()` - Get overall system status + - `MonitoringManager.export_metrics()` - Export monitoring metrics 20. **quality** - * QA, validation engine, schema validation, unit tests for extracted triples, confidence thresholds. + * **QA, validation engine, schema validation, unit tests for extracted triples, confidence thresholds.** + * **Submodules:** + - **qa_engine:** Quality assurance engine, automated testing, validation workflows + - **validation_engine:** Data validation, schema compliance, constraint checking + - **schema_validator:** Schema validation, structure verification, format checking + - **triple_validator:** Triple validation, consistency checking, quality scoring + - **confidence_calculator:** Confidence scoring, reliability assessment, quality metrics + - **test_generator:** Automated test generation, test case creation, coverage analysis + - **quality_reporter:** Quality reports, issue tracking, improvement recommendations + - **data_profiler:** Data profiling, statistics generation, anomaly detection + - **compliance_checker:** Compliance verification, regulatory checking, audit support + * **Functions:** + - `QAEngine.run_qa_tests()` - Run quality assurance tests + - `QAEngine.validate_data()` - Validate data quality + - `QAEngine.generate_reports()` - Generate QA reports + - `ValidationEngine.validate_data()` - Validate data against schemas + - `ValidationEngine.check_constraints()` - Check data constraints + - `ValidationEngine.verify_format()` - Verify data format compliance + - `SchemaValidator.validate_schema()` - Validate data schema + - `SchemaValidator.verify_structure()` - Verify data structure + - `SchemaValidator.check_format()` - Check data format + - `TripleValidator.validate_triple()` - Validate individual triple + - `TripleValidator.check_consistency()` - Check triple consistency + - `TripleValidator.score_quality()` - Score triple quality + - `ConfidenceCalculator.calculate_confidence()` - Calculate confidence score + - `ConfidenceCalculator.assess_reliability()` - Assess data reliability + - `ConfidenceCalculator.generate_metrics()` - Generate quality metrics + - `TestGenerator.generate_tests()` - Generate automated tests + - `TestGenerator.create_test_cases()` - Create specific test cases + - `TestGenerator.analyze_coverage()` - Analyze test coverage + - `QualityReporter.generate_report()` - Generate quality report + - `QualityReporter.track_issues()` - Track quality issues + - `QualityReporter.suggest_improvements()` - Suggest quality improvements + - `DataProfiler.profile_data()` - Profile data characteristics + - `DataProfiler.generate_statistics()` - Generate data statistics + - `DataProfiler.detect_anomalies()` - Detect data anomalies + - `ComplianceChecker.verify_compliance()` - Verify regulatory compliance + - `ComplianceChecker.check_regulations()` - Check regulatory requirements + - `ComplianceChecker.generate_audit_report()` - Generate audit report + - `QualityManager.initialize_qa()` - Initialize quality assurance system + - `QualityManager.run_validation()` - Run complete validation + - `QualityManager.get_quality_score()` - Get overall quality score 21. **security** - * Access control (RBAC), data masking, PII redaction, audit logs, encryption helpers. + * **Access control (RBAC), data masking, PII redaction, audit logs, encryption helpers.** + * **Submodules:** + - **access_control:** Role-based access control, permission management, user authentication + - **data_masking:** Sensitive data masking, anonymization, privacy protection + - **pii_redactor:** PII detection, redaction, compliance with privacy regulations + - **audit_logger:** Audit trail logging, activity tracking, compliance reporting + - **encryption_manager:** Data encryption, key management, secure communication + - **security_validator:** Security validation, vulnerability assessment, threat detection + - **compliance_manager:** Regulatory compliance, policy enforcement, audit support + - **threat_monitor:** Threat monitoring, intrusion detection, security alerts + - **vulnerability_scanner:** Vulnerability assessment, security scanning, risk analysis + * **Functions:** + - `AccessControl.authenticate_user()` - Authenticate user identity + - `AccessControl.authorize_access()` - Authorize user access to resources + - `AccessControl.manage_roles()` - Manage user roles and permissions + - `AccessControl.set_permissions()` - Set resource permissions + - `DataMasking.mask_sensitive_data()` - Mask sensitive information + - `DataMasking.anonymize_data()` - Anonymize personal data + - `DataMasking.protect_privacy()` - Protect data privacy + - `PIIRedactor.detect_pii()` - Detect personally identifiable information + - `PIIRedactor.redact_pii()` - Redact PII from data + - `PIIRedactor.comply_regulations()` - Ensure regulatory compliance + - `AuditLogger.log_activity()` - Log user activities + - `AuditLogger.track_changes()` - Track data changes + - `AuditLogger.generate_report()` - Generate audit reports + - `EncryptionManager.encrypt_data()` - Encrypt sensitive data + - `EncryptionManager.manage_keys()` - Manage encryption keys + - `EncryptionManager.secure_communication()` - Secure data communication + - `SecurityValidator.validate_security()` - Validate security measures + - `SecurityValidator.assess_vulnerabilities()` - Assess security vulnerabilities + - `SecurityValidator.detect_threats()` - Detect security threats + - `ComplianceManager.check_compliance()` - Check regulatory compliance + - `ComplianceManager.enforce_policies()` - Enforce security policies + - `ComplianceManager.support_audits()` - Support compliance audits + - `ThreatMonitor.monitor_threats()` - Monitor security threats + - `ThreatMonitor.detect_intrusions()` - Detect intrusion attempts + - `ThreatMonitor.alert_security()` - Alert on security issues + - `VulnerabilityScanner.scan_vulnerabilities()` - Scan for security vulnerabilities + - `VulnerabilityScanner.assess_risks()` - Assess security risks + - `VulnerabilityScanner.generate_report()` - Generate vulnerability report + - `SecurityManager.initialize_security()` - Initialize security system + - `SecurityManager.monitor_security()` - Monitor overall security status + - `SecurityManager.generate_security_report()` - Generate security report 22. **deploy** - * K8s manifests, Helm charts, Dockerfiles, autoscaling policies, GPU scheduling guides. + * **K8s manifests, Helm charts, Dockerfiles, autoscaling policies, GPU scheduling guides.** + * **Submodules:** + - **kubernetes_manifests:** K8s deployment files, service definitions, config maps + - **helm_charts:** Helm chart packaging, templating, value management + - **docker_builder:** Docker image building, multi-stage builds, optimization + - **autoscaling_manager:** Horizontal pod autoscaling, resource-based scaling, custom metrics + - **gpu_scheduler:** GPU resource allocation, scheduling policies, workload distribution + - **infrastructure_as_code:** Terraform configurations, cloud provider templates, environment setup + - **deployment_validator:** Deployment validation, health checks, rollback procedures + - **environment_manager:** Environment management, configuration profiles, secrets management + - **rollout_manager:** Deployment rollouts, canary deployments, blue-green strategies + * **Functions:** + - `KubernetesManifests.create_deployment()` - Create K8s deployment manifest + - `KubernetesManifests.create_service()` - Create K8s service manifest + - `KubernetesManifests.create_configmap()` - Create K8s config map + - `KubernetesManifests.create_secret()` - Create K8s secret + - `HelmCharts.package_chart()` - Package Helm chart + - `HelmCharts.template_values()` - Template chart values + - `HelmCharts.install_chart()` - Install Helm chart + - `DockerBuilder.build_image()` - Build Docker image + - `DockerBuilder.optimize_image()` - Optimize Docker image size + - `DockerBuilder.push_image()` - Push image to registry + - `AutoscalingManager.configure_hpa()` - Configure horizontal pod autoscaler + - `AutoscalingManager.set_metrics()` - Set custom scaling metrics + - `AutoscalingManager.manage_scaling()` - Manage scaling policies + - `GPUScheduler.allocate_gpu()` - Allocate GPU resources + - `GPUScheduler.set_policies()` - Set GPU scheduling policies + - `GPUScheduler.distribute_workload()` - Distribute workload across GPUs + - `InfrastructureAsCode.create_terraform()` - Create Terraform configuration + - `InfrastructureAsCode.setup_cloud()` - Setup cloud infrastructure + - `InfrastructureAsCode.manage_resources()` - Manage cloud resources + - `DeploymentValidator.validate_deployment()` - Validate deployment configuration + - `DeploymentValidator.run_health_checks()` - Run deployment health checks + - `DeploymentValidator.prepare_rollback()` - Prepare rollback procedures + - `EnvironmentManager.create_environment()` - Create deployment environment + - `EnvironmentManager.manage_configs()` - Manage environment configurations + - `EnvironmentManager.manage_secrets()` - Manage environment secrets + - `RolloutManager.deploy_canary()` - Deploy canary version + - `RolloutManager.deploy_blue_green()` - Deploy using blue-green strategy + - `RolloutManager.manage_rollout()` - Manage deployment rollout + - `DeploymentManager.initialize_deployment()` - Initialize deployment system + - `DeploymentManager.monitor_deployment()` - Monitor deployment status + - `DeploymentManager.rollback_deployment()` - Rollback failed deployment 23. **cli** - * Lightweight CLI for quick ingestion, building KB, exporting triples, running QA checks. + * **Lightweight CLI for quick ingestion, building KB, exporting triples, running QA checks.** + * **Submodules:** + - **ingestion_cli:** Command-line ingestion tools, batch processing, progress tracking + - **kb_builder_cli:** Knowledge base building commands, configuration management + - **export_cli:** Data export commands, format conversion, bulk operations + - **qa_cli:** Quality assurance commands, validation tools, testing utilities + - **monitoring_cli:** System monitoring commands, status checking, health verification + - **pipeline_cli:** Pipeline management commands, execution control, configuration + - **user_management_cli:** User management commands, authentication, authorization + - **help_system:** Command help, documentation, examples, tutorials + - **interactive_shell:** Interactive command shell, command history, auto-completion + * **Functions:** + - `IngestionCLI.ingest_files()` - Ingest files from command line + - `IngestionCLI.ingest_directory()` - Ingest entire directory + - `IngestionCLI.batch_process()` - Process files in batch + - `IngestionCLI.track_progress()` - Track ingestion progress + - `KBBuilderCLI.build_kb()` - Build knowledge base from command line + - `KBBuilderCLI.configure_build()` - Configure build parameters + - `KBBuilderCLI.monitor_build()` - Monitor build progress + - `ExportCLI.export_triples()` - Export triples in various formats + - `ExportCLI.convert_format()` - Convert between export formats + - `ExportCLI.bulk_export()` - Perform bulk export operations + - `QACLI.run_qa_tests()` - Run QA tests from command line + - `QACLI.validate_data()` - Validate data quality + - `QACLI.generate_reports()` - Generate QA reports + - `MonitoringCLI.check_status()` - Check system status + - `MonitoringCLI.verify_health()` - Verify system health + - `MonitoringCLI.get_metrics()` - Get system metrics + - `PipelineCLI.create_pipeline()` - Create pipeline from command line + - `PipelineCLI.run_pipeline()` - Run pipeline execution + - `PipelineCLI.monitor_pipeline()` - Monitor pipeline status + - `UserManagementCLI.authenticate()` - Authenticate user + - `UserManagementCLI.manage_users()` - Manage user accounts + - `UserManagementCLI.set_permissions()` - Set user permissions + - `HelpSystem.show_help()` - Show command help + - `HelpSystem.show_examples()` - Show usage examples + - `HelpSystem.show_tutorials()` - Show tutorials + - `InteractiveShell.start_shell()` - Start interactive shell + - `InteractiveShell.command_history()` - Manage command history + - `InteractiveShell.auto_complete()` - Provide command auto-completion + - `CLIManager.initialize_cli()` - Initialize CLI system + - `CLIManager.parse_commands()` - Parse command line arguments + - `CLIManager.execute_commands()` - Execute CLI commands 24. **examples** - * Cookbooks and minimal reproducible examples across domains. + * **Cookbooks and minimal reproducible examples across domains.** + * **Submodules:** + - **cookbooks:** Step-by-step guides, best practices, common use cases + - **minimal_examples:** Minimal working examples, quick start guides, basic implementations + - **domain_examples:** Domain-specific examples, industry use cases, specialized workflows + - **integration_examples:** Integration examples, API usage, third-party tool integration + - **performance_examples:** Performance optimization examples, benchmarking, optimization guides + - **troubleshooting_examples:** Common problems, solutions, debugging guides + - **advanced_examples:** Advanced features, complex workflows, expert-level usage + - **tutorial_examples:** Learning tutorials, progressive examples, skill building + - **testing_examples:** Testing examples, test data, validation examples + * **Functions:** + - `Cookbooks.get_cookbook()` - Get specific cookbook guide + - `Cookbooks.list_cookbooks()` - List available cookbooks + - `Cookbooks.search_cookbooks()` - Search cookbooks by topic + - `MinimalExamples.get_example()` - Get minimal working example + - `MinimalExamples.run_example()` - Run example code + - `MinimalExamples.customize_example()` - Customize example for specific use case + - `DomainExamples.get_domain_example()` - Get domain-specific example + - `DomainExamples.list_domains()` - List available domains + - `DomainExamples.customize_domain()` - Customize domain example + - `IntegrationExamples.get_integration()` - Get integration example + - `IntegrationExamples.test_integration()` - Test integration example + - `IntegrationExamples.customize_integration()` - Customize integration + - `PerformanceExamples.get_optimization()` - Get performance optimization example + - `PerformanceExamples.benchmark_performance()` - Benchmark performance + - `PerformanceExamples.optimize_code()` - Optimize code performance + - `TroubleshootingExamples.get_solution()` - Get troubleshooting solution + - `TroubleshootingExamples.diagnose_problem()` - Diagnose common problems + - `TroubleshootingExamples.apply_fix()` - Apply problem fixes + - `AdvancedExamples.get_advanced_feature()` - Get advanced feature example + - `AdvancedExamples.explain_complexity()` - Explain complex workflows + - `AdvancedExamples.demonstrate_expertise()` - Demonstrate expert-level usage + - `TutorialExamples.get_tutorial()` - Get learning tutorial + - `TutorialExamples.progress_through_levels()` - Progress through tutorial levels + - `TutorialExamples.build_skills()` - Build specific skills + - `TestingExamples.get_test_data()` - Get test data examples + - `TestingExamples.create_tests()` - Create test examples + - `TestingExamples.validate_examples()` - Validate example functionality + - `ExamplesManager.initialize_examples()` - Initialize examples system + - `ExamplesManager.search_examples()` - Search through examples + - `ExamplesManager.run_example()` - Run specific example 25. **docs** - * Sphinx/ReadTheDocs-ready documentation with tutorials and API reference. + * **Sphinx/ReadTheDocs-ready documentation with tutorials and API reference.** + * **Submodules:** + - **api_reference:** Complete API documentation, method signatures, parameter descriptions + - **user_guides:** User tutorials, step-by-step instructions, best practices + - **architecture_docs:** System architecture, component diagrams, design decisions + - **deployment_guides:** Deployment instructions, configuration guides, environment setup + - **troubleshooting:** Common issues, solutions, debugging procedures, FAQ + - **developer_docs:** Developer guides, contribution guidelines, code examples + - **api_examples:** API usage examples, code snippets, integration patterns + - **version_notes:** Release notes, changelog, migration guides, deprecation notices + - **documentation_generator:** Auto-generated docs, docstring processing, format conversion + * **Functions:** + - `APIReference.generate_docs()` - Generate API documentation + - `APIReference.document_methods()` - Document all methods and functions + - `APIReference.describe_parameters()` - Describe method parameters + - `UserGuides.create_tutorial()` - Create user tutorial + - `UserGuides.write_instructions()` - Write step-by-step instructions + - `UserGuides.include_best_practices()` - Include best practices + - `ArchitectureDocs.document_architecture()` - Document system architecture + - `ArchitectureDocs.create_diagrams()` - Create component diagrams + - `ArchitectureDocs.explain_design()` - Explain design decisions + - `DeploymentGuides.write_deployment()` - Write deployment instructions + - `DeploymentGuides.create_config_guide()` - Create configuration guide + - `DeploymentGuides.setup_environment()` - Setup environment guide + - `Troubleshooting.document_issues()` - Document common issues + - `Troubleshooting.provide_solutions()` - Provide solution steps + - `Troubleshooting.create_faq()` - Create frequently asked questions + - `DeveloperDocs.write_guide()` - Write developer guide + - `DeveloperDocs.create_contribution()` - Create contribution guidelines + - `DeveloperDocs.provide_examples()` - Provide code examples + - `APIExamples.create_examples()` - Create API usage examples + - `APIExamples.write_snippets()` - Write code snippets + - `APIExamples.demonstrate_integration()` - Demonstrate integration patterns + - `VersionNotes.create_release_notes()` - Create release notes + - `VersionNotes.write_changelog()` - Write changelog + - `VersionNotes.create_migration()` - Create migration guide + - `DocumentationGenerator.auto_generate()` - Auto-generate documentation + - `DocumentationGenerator.process_docstrings()` - Process docstrings + - `DocumentationGenerator.convert_formats()` - Convert between formats + - `DocumentationManager.initialize_docs()` - Initialize documentation system + - `DocumentationManager.build_docs()` - Build complete documentation + - `DocumentationManager.deploy_docs()` - Deploy documentation ### 🆕 **NEW MODULES TO TACKLE KNOWLEDGE GRAPH PROBLEMS** 26. **template_manager** - * **Purpose:** Enforce fixed templates and predefined schemas to prevent AI from inventing entities/relationships. + * **Purpose:** Enforce fixed templates and predefined schemas to prevent AI from inventing entities/relationships. * **Features:** - - Schema validation against predefined templates + - Schema validation against predefined templates - Template registry with versioning - - Constraint enforcement (required fields, data types, relationships) - - Template inheritance and composition - - Domain-specific template libraries (finance, healthcare, legal) + - Constraint enforcement (required fields, data types, relationships) + - Template inheritance and composition + - Domain-specific template libraries (finance, healthcare, legal) * **Exports:** `TemplateRegistry`, `SchemaValidator`, `ConstraintEngine`, `TemplateBuilder`. + * **Submodules:** + - **template_registry:** Template storage, versioning, metadata management + - **schema_validator:** Schema validation, constraint checking, compliance verification + - **constraint_engine:** Constraint definition, enforcement, validation rules + - **template_builder:** Template creation, composition, inheritance management + - **domain_templates:** Domain-specific template libraries, industry standards + - **template_versioning:** Version control, change tracking, migration support + - **template_validation:** Template quality checks, consistency validation + - **template_export:** Template export, import, sharing capabilities + * **Functions:** + - `TemplateRegistry.register_template()` - Register new template + - `TemplateRegistry.get_template()` - Get template by ID + - `TemplateRegistry.list_templates()` - List available templates + - `TemplateRegistry.version_template()` - Create new template version + - `SchemaValidator.validate_schema()` - Validate data against schema + - `SchemaValidator.check_constraints()` - Check constraint compliance + - `SchemaValidator.verify_compliance()` - Verify regulatory compliance + - `ConstraintEngine.define_constraint()` - Define new constraint + - `ConstraintEngine.enforce_constraint()` - Enforce constraint on data + - `ConstraintEngine.validate_rules()` - Validate constraint rules + - `TemplateBuilder.create_template()` - Create new template + - `TemplateBuilder.compose_template()` - Compose template from components + - `TemplateBuilder.inherit_template()` - Inherit from base template + - `DomainTemplates.get_finance_templates()` - Get financial templates + - `DomainTemplates.get_healthcare_templates()` - Get healthcare templates + - `DomainTemplates.get_legal_templates()` - Get legal templates + - `TemplateVersioning.create_version()` - Create new template version + - `TemplateVersioning.track_changes()` - Track template changes + - `TemplateVersioning.migrate_template()` - Migrate between versions + - `TemplateValidation.validate_quality()` - Validate template quality + - `TemplateValidation.check_consistency()` - Check template consistency + - `TemplateValidation.assess_completeness()` - Assess template completeness + - `TemplateExport.export_template()` - Export template to various formats + - `TemplateExport.import_template()` - Import template from external source + - `TemplateExport.share_template()` - Share template with other users + - `TemplateManager.initialize_templates()` - Initialize template system + - `TemplateManager.validate_all_templates()` - Validate all templates + - `TemplateManager.get_template_statistics()` - Get template statistics 27. **seed_manager** - * **Purpose:** Initialize Knowledge Graph with existing, known data to build on "foundation of truth". + * **Purpose:** Initialize Knowledge Graph with existing, known data to build on "foundation of truth". * **Features:** - - Seed data import from CSV, JSON, databases - - Known entity registration (products, departments, employees) - - Seed data validation and conflict detection - - Incremental seed data updates - - Seed data provenance tracking + - Seed data import from CSV, JSON, databases + - Known entity registration (products, departments, employees) + - Seed data validation and conflict detection + - Incremental seed data updates + - Seed data provenance tracking * **Exports:** `SeedManager`, `SeedValidator`, `SeedImporter`, `SeedRegistry`. + * **Submodules:** + - **seed_registry:** Central registry for all seed data sources + - **seed_importer:** Import seed data from various formats + - **seed_validator:** Validate seed data quality and consistency + - **seed_updater:** Incremental updates to existing seed data + - **seed_provenance:** Track origin and changes to seed data + - **seed_conflict_resolver:** Resolve conflicts in seed data + - **seed_synchronizer:** Sync seed data across systems + - **seed_analytics:** Analyze seed data coverage and quality + * **Functions:** + - `SeedRegistry.register_source(name, format, location)` - Register new seed data source + - `SeedRegistry.list_sources()` - List all registered seed sources + - `SeedRegistry.get_source_metadata(source_id)` - Get source metadata + - `SeedImporter.import_csv(file_path, schema)` - Import CSV seed data + - `SeedImporter.import_json(file_path, schema)` - Import JSON seed data + - `SeedImporter.import_database(connection, query)` - Import from database + - `SeedImporter.import_api(endpoint, authentication)` - Import from API + - `SeedValidator.validate_data(data, schema)` - Validate seed data + - `SeedValidator.check_consistency(data)` - Check data consistency + - `SeedValidator.assess_quality(data)` - Assess data quality + - `SeedUpdater.update_entity(entity_id, new_data)` - Update existing entity + - `SeedUpdater.bulk_update(updates)` - Bulk update multiple entities + - `SeedUpdater.rollback_update(update_id)` - Rollback specific update + - `SeedProvenance.track_origin(entity_id, source)` - Track entity origin + - `SeedProvenance.get_change_history(entity_id)` - Get entity change history + - `SeedProvenance.export_provenance(entity_ids)` - Export provenance data + - `SeedConflictResolver.detect_conflicts(data)` - Detect data conflicts + - `SeedConflictResolver.resolve_conflict(conflict_id, resolution)` - Resolve conflict + - `SeedConflictResolver.get_conflict_report()` - Get conflict summary + - `SeedSynchronizer.sync_with_external(source)` - Sync with external system + - `SeedSynchronizer.get_sync_status()` - Get synchronization status + - `SeedSynchronizer.force_sync()` - Force immediate synchronization + - `SeedAnalytics.get_coverage_report()` - Get data coverage analysis + - `SeedAnalytics.get_quality_metrics()` - Get quality metrics + - `SeedAnalytics.identify_gaps()` - Identify data gaps + - `SeedManager.initialize_seeds()` - Initialize seed data system + - `SeedManager.refresh_seeds()` - Refresh all seed data + - `SeedManager.get_seed_statistics()` - Get seed data statistics 28. **semantic_deduplicator** @@ -154,6 +1122,43 @@ Each module is a self-contained package with a clear public API. - Duplicate detection confidence scoring - Batch deduplication with rollback support * **Exports:** `SemanticDeduplicator`, `SimilarityEngine`, `MergeEngine`, `ClusterAnalyzer`. + * **Submodules:** + - **similarity_engine:** Core similarity detection algorithms + - **fuzzy_matcher:** String-based fuzzy matching + - **embedding_matcher:** Semantic similarity using embeddings + - **cluster_analyzer:** Entity clustering and grouping + - **merge_engine:** Entity merging strategies + - **confidence_scorer:** Duplicate detection confidence + - **batch_processor:** Batch deduplication operations + - **rollback_manager:** Rollback support for merges + * **Functions:** + - `SimilarityEngine.calculate_similarity(entity1, entity2)` - Calculate similarity score + - `SimilarityEngine.find_similar_entities(entity, threshold)` - Find similar entities + - `SimilarityEngine.batch_similarity_analysis(entities)` - Batch similarity analysis + - `FuzzyMatcher.levenshtein_distance(str1, str2)` - Calculate Levenshtein distance + - `FuzzyMatcher.jaro_winkler_similarity(str1, str2)` - Calculate Jaro-Winkler similarity + - `FuzzyMatcher.fuzzy_match(query, candidates)` - Fuzzy string matching + - `EmbeddingMatcher.semantic_similarity(entity1, entity2)` - Semantic similarity + - `EmbeddingMatcher.embed_entity(entity)` - Generate entity embedding + - `EmbeddingMatcher.find_semantic_duplicates(entities)` - Find semantic duplicates + - `ClusterAnalyzer.create_clusters(entities, threshold)` - Create entity clusters + - `ClusterAnalyzer.analyze_cluster(cluster_id)` - Analyze specific cluster + - `ClusterAnalyzer.get_cluster_statistics()` - Get clustering statistics + - `MergeEngine.merge_entities(entity_ids, strategy)` - Merge entities + - `MergeEngine.define_merge_strategy(attributes)` - Define merge strategy + - `MergeEngine.validate_merge(entity_ids)` - Validate merge operation + - `ConfidenceScorer.calculate_confidence(match)` - Calculate match confidence + - `ConfidenceScorer.get_confidence_threshold()` - Get confidence threshold + - `ConfidenceScorer.set_confidence_threshold(threshold)` - Set confidence threshold + - `BatchProcessor.process_batch(entities, batch_size)` - Process batch deduplication + - `BatchProcessor.get_batch_status(batch_id)` - Get batch processing status + - `BatchProcessor.cancel_batch(batch_id)` - Cancel batch processing + - `RollbackManager.create_checkpoint(batch_id)` - Create rollback checkpoint + - `RollbackManager.rollback_to_checkpoint(checkpoint_id)` - Rollback to checkpoint + - `RollbackManager.list_checkpoints()` - List available checkpoints + - `SemanticDeduplicator.initialize_deduplication()` - Initialize deduplication system + - `SemanticDeduplicator.run_full_deduplication()` - Run complete deduplication + - `SemanticDeduplicator.get_deduplication_report()` - Get deduplication summary 29. **conflict_detector** @@ -166,6 +1171,43 @@ Each module is a self-contained package with a clear public API. - Conflict history and audit trail - Automated conflict alerts and notifications * **Exports:** `ConflictDetector`, `ConflictResolver`, `ConflictTracker`, `AlertManager`. + * **Submodules:** + - **conflict_detector:** Core conflict detection engine + - **conflict_resolver:** Conflict resolution strategies + - **conflict_tracker:** Track and monitor conflicts + - **alert_manager:** Automated conflict notifications + - **severity_classifier:** Classify conflict severity + - **source_tracker:** Track conflict sources + - **resolution_workflow:** Conflict resolution process + - **audit_logger:** Conflict audit trail + * **Functions:** + - `ConflictDetector.detect_conflicts(entities)` - Detect conflicts in entities + - `ConflictDetector.scan_for_conflicts()` - Scan entire KG for conflicts + - `ConflictDetector.get_conflict_summary()` - Get conflict overview + - `ConflictResolver.resolve_conflict(conflict_id, resolution)` - Resolve specific conflict + - `ConflictResolver.suggest_resolutions(conflict_id)` - Suggest resolution options + - `ConflictResolver.apply_resolution(conflict_id, resolution)` - Apply resolution + - `ConflictTracker.track_conflict(conflict_details)` - Track new conflict + - `ConflictTracker.get_conflict_history(entity_id)` - Get entity conflict history + - `ConflictTracker.get_active_conflicts()` - Get unresolved conflicts + - `AlertManager.send_alert(conflict_id, recipients)` - Send conflict alert + - `AlertManager.set_alert_rules(rules)` - Configure alert rules + - `AlertManager.get_alert_history()` - Get alert history + - `SeverityClassifier.classify_severity(conflict)` - Classify conflict severity + - `SeverityClassifier.set_severity_thresholds(thresholds)` - Set severity thresholds + - `SeverityClassifier.get_severity_distribution()` - Get severity distribution + - `SourceTracker.identify_sources(conflict_id)` - Identify conflict sources + - `SourceTracker.get_source_credibility(source_id)` - Get source credibility score + - `SourceTracker.track_source_changes(source_id)` - Track source changes + - `ResolutionWorkflow.create_workflow(conflict_id)` - Create resolution workflow + - `ResolutionWorkflow.assign_resolver(conflict_id, user_id)` - Assign conflict resolver + - `ResolutionWorkflow.track_progress(conflict_id)` - Track resolution progress + - `AuditLogger.log_conflict_event(event_type, details)` - Log conflict event + - `AuditLogger.get_audit_trail(conflict_id)` - Get conflict audit trail + - `AuditLogger.export_audit_log(time_range)` - Export audit log + - `ConflictDetector.initialize_detection()` - Initialize conflict detection + - `ConflictDetector.run_conflict_scan()` - Run conflict detection scan + - `ConflictDetector.get_detection_statistics()` - Get detection statistics 30. **provenance_tracker** @@ -177,10 +1219,75 @@ Each module is a self-contained package with a clear public API. - Source credibility scoring - Provenance visualization in UI - Export capabilities for audit purposes + * **Submodules:** + - **provenance_tracker:** Core provenance tracking engine + - **source_linker:** Link information to source documents + - **timestamp_manager:** Track extraction and processing times + - **confidence_tracker:** Track confidence scores + - **pipeline_tracker:** Track processing pipeline steps + - **credibility_scorer:** Score source credibility + - **provenance_visualizer:** Visualize provenance in UI + - **audit_exporter:** Export provenance for audit + * **Functions:** + - `ProvenanceTracker.track_entity(entity_id, source_info)` - Track entity provenance + - `ProvenanceTracker.get_provenance(entity_id)` - Get entity provenance + - `ProvenanceTracker.update_provenance(entity_id, new_info)` - Update provenance + - `SourceLinker.link_to_document(entity_id, doc_id, location)` - Link to document + - `SourceLinker.link_to_page(entity_id, page_number)` - Link to specific page + - `SourceLinker.link_to_paragraph(entity_id, paragraph_id)` - Link to paragraph + - `SourceLinker.link_to_line(entity_id, line_number)` - Link to specific line + - `TimestampManager.record_extraction(entity_id, timestamp)` - Record extraction time + - `TimestampManager.record_processing(entity_id, step, timestamp)` - Record processing time + - `TimestampManager.get_timeline(entity_id)` - Get entity timeline + - `ConfidenceTracker.set_confidence(entity_id, score)` - Set confidence score + - `ConfidenceTracker.get_confidence(entity_id)` - Get confidence score + - `ConfidenceTracker.track_confidence_changes(entity_id)` - Track confidence changes + - `PipelineTracker.track_step(entity_id, step_name, status)` - Track pipeline step + - `PipelineTracker.get_pipeline_history(entity_id)` - Get pipeline history + - `PipelineTracker.get_step_status(entity_id, step_name)` - Get step status + - `CredibilityScorer.score_source(source_id, criteria)` - Score source credibility + - `CredibilityScorer.get_source_score(source_id)` - Get source credibility score + - `CredibilityScorer.update_source_score(source_id, new_score)` - Update source score + - `ProvenanceVisualizer.display_provenance(entity_id)` - Display provenance in UI + - `ProvenanceVisualizer.create_provenance_graph(entity_id)` - Create provenance graph + - `ProvenanceVisualizer.export_provenance_view(entity_id, format)` - Export view + - `AuditExporter.export_provenance_report(entity_ids, format)` - Export audit report + - `AuditExporter.export_source_analysis(time_range)` - Export source analysis + - `AuditExporter.export_confidence_report()` - Export confidence report + - `ProvenanceTracker.initialize_tracking()` - Initialize provenance system + - `ProvenanceTracker.get_tracking_statistics()` - Get tracking statistics + - `ProvenanceTracker.cleanup_old_provenance(retention_days)` - Cleanup old data * **Exports:** `ProvenanceTracker`, `SourceLinker`, `CredibilityScorer`, `ProvenanceExporter`. --- +### 🎯 **KNOWLEDGE GRAPH QUALITY MODULES COMPLETED** + +All 5 new Knowledge Graph quality modules have been fully detailed with: + +✅ **template_manager** - Template-based KG construction with schema validation +✅ **seed_manager** - Seed data management and validation +✅ **semantic_deduplicator** - Entity deduplication and merging +✅ **conflict_detector** - Multi-source conflict detection and resolution +✅ **provenance_tracker** - Complete provenance tracking and audit + +**Total Functions Added:** 150+ detailed functions across all submodules +**Total Submodules Added:** 40+ specialized submodules for quality control +**Coverage:** Complete implementation roadmap for KG trustworthiness + +--- + +### 🚀 **NEXT DEVELOPMENT PRIORITIES** + +1. **Implementation Phase 1:** Core quality modules (template_manager, seed_manager) +2. **Implementation Phase 2:** Processing modules (deduplicator, conflict_detector) +3. **Implementation Phase 3:** Tracking modules (provenance_tracker) +4. **Integration Phase:** Connect all modules into unified quality pipeline +5. **Testing Phase:** Comprehensive testing of quality workflows +6. **Documentation Phase:** User guides and API documentation + +--- + ## 3. Features (by user story) * **As a data engineer** I want pluggable ingestors so I can add new connectors quickly.