From 7f1003a75c6c4050f180ce958caf560257c0cb7a Mon Sep 17 00:00:00 2001 From: Mohd Kaif <98801504+KaifAhmad1@users.noreply.github.com> Date: Wed, 22 Oct 2025 22:23:34 +0530 Subject: [PATCH] Create development-roadmap.md --- development-roadmap.md | 868 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 868 insertions(+) create mode 100644 development-roadmap.md diff --git a/development-roadmap.md b/development-roadmap.md new file mode 100644 index 00000000..a63939ab --- /dev/null +++ b/development-roadmap.md @@ -0,0 +1,868 @@ +# Semantica Framework Development Plan + +## Overview + +Build a production-ready Python framework for transforming unstructured data into semantic layers, knowledge graphs, and embeddings. Follow SDK best practices with clean architecture, comprehensive testing, and extensive documentation. + +## Detailed Project Structure + +``` +semantica-3/ +├── libs/ # Core framework implementation +│ ├── semantica/ # Main package +│ │ ├── __init__.py +│ │ │ +│ │ ├── core/ # Core orchestration +│ │ │ ├── __init__.py +│ │ │ ├── orchestrator.py +│ │ │ ├── config_manager.py +│ │ │ ├── plugin_registry.py +│ │ │ └── lifecycle.py +│ │ │ +│ │ ├── ingest/ # Data ingestion modules +│ │ │ ├── __init__.py +│ │ │ ├── file_ingestor.py +│ │ │ ├── web_ingestor.py +│ │ │ ├── feed_ingestor.py +│ │ │ ├── stream_ingestor.py +│ │ │ ├── repo_ingestor.py +│ │ │ ├── email_ingestor.py +│ │ │ └── db_ingestor.py +│ │ │ +│ │ ├── parse/ # Format parsers +│ │ │ ├── __init__.py +│ │ │ ├── pdf_parser.py +│ │ │ ├── docx_parser.py +│ │ │ ├── pptx_parser.py +│ │ │ ├── excel_parser.py +│ │ │ ├── html_parser.py +│ │ │ ├── csv_parser.py +│ │ │ ├── json_parser.py +│ │ │ ├── xml_parser.py +│ │ │ ├── image_parser.py +│ │ │ ├── latex_parser.py +│ │ │ ├── epub_parser.py +│ │ │ └── archive_parser.py +│ │ │ +│ │ ├── normalize/ # Data normalization +│ │ │ ├── __init__.py +│ │ │ ├── text_cleaner.py +│ │ │ ├── language_detector.py +│ │ │ ├── encoding_handler.py +│ │ │ ├── entity_normalizer.py +│ │ │ ├── date_normalizer.py +│ │ │ └── number_normalizer.py +│ │ │ +│ │ ├── split/ # Chunking strategies +│ │ │ ├── __init__.py +│ │ │ ├── sliding_window_chunker.py +│ │ │ ├── semantic_chunker.py +│ │ │ ├── structural_chunker.py +│ │ │ ├── table_chunker.py +│ │ │ ├── provenance_tracker.py +│ │ │ └── chunk_validator.py +│ │ │ +│ │ ├── semantic_extract/ # NER, relations, triples +│ │ │ ├── __init__.py +│ │ │ ├── ner_extractor.py +│ │ │ ├── relation_extractor.py +│ │ │ ├── event_detector.py +│ │ │ ├── coref_resolver.py +│ │ │ ├── triple_extractor.py +│ │ │ ├── llm_enhancer.py +│ │ │ └── extraction_validator.py +│ │ │ +│ │ ├── ontology/ # Ontology generation +│ │ │ ├── __init__.py +│ │ │ ├── class_inferrer.py +│ │ │ ├── property_generator.py +│ │ │ ├── owl_generator.py +│ │ │ ├── schema_mapper.py +│ │ │ ├── version_manager.py +│ │ │ ├── ontology_validator.py +│ │ │ └── domain_ontologies.py +│ │ │ +│ │ ├── triple_store/ # Triple store adapters +│ │ │ ├── __init__.py +│ │ │ ├── blazegraph_adapter.py +│ │ │ ├── jena_adapter.py +│ │ │ ├── rdf4j_adapter.py +│ │ │ ├── virtuoso_adapter.py +│ │ │ ├── graphdb_adapter.py +│ │ │ ├── triple_manager.py +│ │ │ ├── query_engine.py +│ │ │ └── bulk_loader.py +│ │ │ +│ │ ├── kg/ # Knowledge graph +│ │ │ ├── __init__.py +│ │ │ ├── graph_builder.py +│ │ │ ├── entity_resolver.py +│ │ │ ├── deduplicator.py +│ │ │ ├── seed_manager.py +│ │ │ ├── provenance_tracker.py +│ │ │ ├── conflict_detector.py +│ │ │ ├── conflict_resolver.py +│ │ │ ├── graph_validator.py +│ │ │ ├── graph_analyzer.py +│ │ │ ├── graph_metrics.py +│ │ │ ├── centrality_calculator.py +│ │ │ ├── community_detector.py +│ │ │ ├── path_finder.py +│ │ │ ├── graph_embedder.py +│ │ │ ├── subgraph_extractor.py +│ │ │ ├── anomaly_detector.py +│ │ │ ├── temporal_graph.py +│ │ │ └── graph_visualizer.py +│ │ │ +│ │ ├── embeddings/ # Embedding generation +│ │ │ ├── __init__.py +│ │ │ ├── text_embedder.py +│ │ │ ├── image_embedder.py +│ │ │ ├── audio_embedder.py +│ │ │ ├── multimodal_embedder.py +│ │ │ ├── context_manager.py +│ │ │ ├── pooling_strategies.py +│ │ │ ├── provider_adapters.py +│ │ │ └── embedding_optimizer.py +│ │ │ +│ │ ├── vector_store/ # Vector DB adapters +│ │ │ ├── __init__.py +│ │ │ ├── pinecone_adapter.py +│ │ │ ├── faiss_adapter.py +│ │ │ ├── milvus_adapter.py +│ │ │ ├── weaviate_adapter.py +│ │ │ ├── qdrant_adapter.py +│ │ │ ├── chroma_adapter.py +│ │ │ ├── namespace_manager.py +│ │ │ ├── metadata_store.py +│ │ │ ├── hybrid_search.py +│ │ │ └── index_optimizer.py +│ │ │ +│ │ ├── reasoning/ # Inference engine +│ │ │ ├── __init__.py +│ │ │ ├── inference_engine.py +│ │ │ ├── sparql_reasoner.py +│ │ │ ├── rete_engine.py +│ │ │ ├── abductive_reasoner.py +│ │ │ ├── deductive_reasoner.py +│ │ │ ├── rule_manager.py +│ │ │ ├── reasoning_validator.py +│ │ │ └── explanation_generator.py +│ │ │ +│ │ ├── pipeline/ # Pipeline orchestration +│ │ │ ├── __init__.py +│ │ │ ├── pipeline_builder.py +│ │ │ ├── execution_engine.py +│ │ │ ├── failure_handler.py +│ │ │ ├── parallelism_manager.py +│ │ │ ├── resource_scheduler.py +│ │ │ ├── pipeline_validator.py +│ │ │ ├── monitoring_hooks.py +│ │ │ └── pipeline_templates.py +│ │ │ +│ │ ├── streaming/ # Real-time processing +│ │ │ ├── __init__.py +│ │ │ ├── kafka_adapter.py +│ │ │ ├── pulsar_adapter.py +│ │ │ ├── rabbitmq_adapter.py +│ │ │ ├── kinesis_adapter.py +│ │ │ ├── stream_processor.py +│ │ │ ├── checkpoint_manager.py +│ │ │ ├── exactly_once.py +│ │ │ ├── backpressure_handler.py +│ │ │ └── stream_monitor.py +│ │ │ +│ │ ├── monitoring/ # Analytics & QA +│ │ │ ├── __init__.py +│ │ │ ├── analytics_dashboard.py +│ │ │ ├── quality_assurance.py +│ │ │ ├── performance_monitor.py +│ │ │ ├── alert_manager.py +│ │ │ ├── metrics_collector.py +│ │ │ └── health_checker.py +│ │ │ +│ │ ├── export/ # Export utilities +│ │ │ ├── __init__.py +│ │ │ ├── rdf_exporter.py +│ │ │ ├── json_exporter.py +│ │ │ ├── csv_exporter.py +│ │ │ ├── graph_exporter.py +│ │ │ └── report_generator.py +│ │ │ +│ │ ├── security/ # Security & compliance +│ │ │ ├── __init__.py +│ │ │ ├── access_control.py +│ │ │ ├── data_masking.py +│ │ │ ├── pii_redactor.py +│ │ │ ├── audit_logger.py +│ │ │ ├── encryption_manager.py +│ │ │ ├── security_validator.py +│ │ │ ├── compliance_manager.py +│ │ │ ├── threat_monitor.py +│ │ │ └── vulnerability_scanner.py +│ │ │ +│ │ ├── quality/ # Quality assurance +│ │ │ ├── __init__.py +│ │ │ ├── qa_engine.py +│ │ │ ├── validation_engine.py +│ │ │ ├── schema_validator.py +│ │ │ ├── triple_validator.py +│ │ │ ├── confidence_calculator.py +│ │ │ ├── test_generator.py +│ │ │ ├── quality_reporter.py +│ │ │ ├── data_profiler.py +│ │ │ └── compliance_checker.py +│ │ │ +│ │ └── utils/ # Shared utilities +│ │ ├── __init__.py +│ │ ├── logging.py +│ │ ├── exceptions.py +│ │ ├── validators.py +│ │ ├── helpers.py +│ │ ├── constants.py +│ │ └── types.py +│ │ +│ ├── pyproject.toml # Package metadata (Poetry/PDM) +│ ├── setup.py # Fallback setup +│ ├── requirements.txt # Dependencies +│ ├── requirements-dev.txt # Dev dependencies +│ ├── README.md # Package README +│ ├── LICENSE # MIT License +│ └── tests/ # Test suite +│ ├── __init__.py +│ ├── conftest.py +│ ├── unit/ +│ │ ├── __init__.py +│ │ ├── test_core.py +│ │ ├── test_ingest.py +│ │ ├── test_parse.py +│ │ ├── test_normalize.py +│ │ ├── test_split.py +│ │ ├── test_semantic_extract.py +│ │ ├── test_ontology.py +│ │ ├── test_triple_store.py +│ │ ├── test_kg.py +│ │ ├── test_embeddings.py +│ │ ├── test_vector_store.py +│ │ ├── test_reasoning.py +│ │ ├── test_pipeline.py +│ │ ├── test_streaming.py +│ │ ├── test_monitoring.py +│ │ ├── test_export.py +│ │ └── test_utils.py +│ ├── integration/ +│ │ ├── __init__.py +│ │ ├── test_document_pipeline.py +│ │ ├── test_kg_construction.py +│ │ ├── test_semantic_search.py +│ │ ├── test_streaming_pipeline.py +│ │ └── test_end_to_end.py +│ ├── fixtures/ +│ │ ├── __init__.py +│ │ ├── sample_documents/ +│ │ │ ├── sample.pdf +│ │ │ ├── sample.docx +│ │ │ ├── sample.xlsx +│ │ │ ├── sample.html +│ │ │ └── sample.json +│ │ ├── sample_configs/ +│ │ │ ├── pipeline_config.yaml +│ │ │ └── ontology_config.yaml +│ │ └── expected_outputs/ +│ │ ├── sample_triples.ttl +│ │ └── sample_graph.json +│ └── performance/ +│ ├── __init__.py +│ ├── benchmark_parsing.py +│ ├── benchmark_extraction.py +│ └── benchmark_graph_ops.py +│ +├── cookbook/ # Examples and use cases +│ ├── README.md +│ │ +│ ├── examples/ # Basic examples +│ │ ├── 01_quick_start/ +│ │ │ ├── README.md +│ │ │ ├── simple_processing.py +│ │ │ ├── knowledge_graph_101.py +│ │ │ └── semantic_search.py +│ │ │ +│ │ ├── 02_document_processing/ +│ │ │ ├── README.md +│ │ │ ├── pdf_extraction.py +│ │ │ ├── office_documents.py +│ │ │ ├── multi_format.py +│ │ │ ├── web_scraping.py +│ │ │ └── email_processing.py +│ │ │ +│ │ ├── 03_knowledge_graphs/ +│ │ │ ├── README.md +│ │ │ ├── building_kg.py +│ │ │ ├── entity_resolution.py +│ │ │ ├── conflict_detection.py +│ │ │ ├── graph_analytics.py +│ │ │ └── sparql_queries.py +│ │ │ +│ │ ├── 04_semantic_search/ +│ │ │ ├── README.md +│ │ │ ├── vector_search.py +│ │ │ ├── hybrid_search.py +│ │ │ ├── rag_pipeline.py +│ │ │ └── semantic_ranking.py +│ │ │ +│ │ └── 05_real_time_streams/ +│ │ ├── README.md +│ │ ├── kafka_processing.py +│ │ ├── feed_monitoring.py +│ │ ├── web_monitoring.py +│ │ └── event_driven_kg.py +│ │ +│ ├── use_cases/ # Domain-specific examples +│ │ ├── healthcare/ +│ │ │ ├── README.md +│ │ │ ├── medical_literature.py +│ │ │ ├── clinical_reports.py +│ │ │ ├── drug_interactions.py +│ │ │ └── patient_knowledge_graph.py +│ │ │ +│ │ ├── finance/ +│ │ │ ├── README.md +│ │ │ ├── financial_reports.py +│ │ │ ├── market_intelligence.py +│ │ │ ├── regulatory_compliance.py +│ │ │ └── risk_analysis.py +│ │ │ +│ │ ├── cybersecurity/ +│ │ │ ├── README.md +│ │ │ ├── threat_intelligence.py +│ │ │ ├── vulnerability_tracking.py +│ │ │ ├── incident_analysis.py +│ │ │ └── ioc_extraction.py +│ │ │ +│ │ ├── research/ +│ │ │ ├── README.md +│ │ │ ├── citation_network.py +│ │ │ ├── research_trends.py +│ │ │ ├── collaboration_graph.py +│ │ │ └── paper_recommendation.py +│ │ │ +│ │ └── legal/ +│ │ ├── README.md +│ │ ├── case_law.py +│ │ ├── contract_analysis.py +│ │ ├── regulatory_mapping.py +│ │ └── legal_entity_extraction.py +│ │ +│ ├── notebooks/ # Jupyter notebooks +│ │ ├── tutorials/ +│ │ │ ├── tutorial_01_getting_started.ipynb +│ │ │ ├── tutorial_02_data_ingestion.ipynb +│ │ │ ├── tutorial_03_semantic_extraction.ipynb +│ │ │ ├── tutorial_04_knowledge_graphs.ipynb +│ │ │ ├── tutorial_05_embeddings.ipynb +│ │ │ └── tutorial_06_advanced_pipelines.ipynb +│ │ │ +│ │ └── experiments/ +│ │ ├── experiment_custom_parsers.ipynb +│ │ ├── experiment_reasoning.ipynb +│ │ ├── experiment_optimization.ipynb +│ │ └── experiment_multimodal.ipynb +│ │ +│ └── data/ # Sample datasets +│ ├── documents/ +│ │ ├── sample_papers.pdf +│ │ ├── sample_reports.docx +│ │ └── sample_data.csv +│ ├── graphs/ +│ │ ├── sample_ontology.owl +│ │ └── sample_triples.ttl +│ └── configs/ +│ ├── pipeline_examples.yaml +│ └── extraction_rules.json +│ +├── docs/ # Documentation +│ ├── index.md +│ ├── getting-started.md +│ ├── installation.md +│ ├── architecture.md +│ ├── api-reference/ +│ │ ├── index.md +│ │ ├── core.md +│ │ ├── ingest.md +│ │ ├── parse.md +│ │ ├── semantic_extract.md +│ │ ├── ontology.md +│ │ ├── kg.md +│ │ ├── embeddings.md +│ │ ├── vector_store.md +│ │ ├── reasoning.md +│ │ ├── pipeline.md +│ │ └── streaming.md +│ ├── tutorials/ +│ │ ├── quickstart.md +│ │ ├── building-first-kg.md +│ │ ├── semantic-search.md +│ │ └── production-deployment.md +│ ├── best-practices.md +│ ├── performance-tuning.md +│ ├── deployment.md +│ └── contributing.md +│ +├── .github/ # GitHub Actions CI/CD +│ ├── workflows/ +│ │ ├── ci.yml +│ │ ├── publish.yml +│ │ └── docs.yml +│ ├── ISSUE_TEMPLATE/ +│ │ ├── bug_report.md +│ │ └── feature_request.md +│ └── PULL_REQUEST_TEMPLATE.md +│ +├── docker/ # Docker configurations +│ ├── Dockerfile +│ ├── docker-compose.yml +│ ├── Dockerfile.dev +│ └── .dockerignore +│ +├── scripts/ # Utility scripts +│ ├── setup_dev.sh +│ ├── run_tests.sh +│ ├── build_docs.sh +│ ├── format_code.sh +│ └── release.sh +│ +├── README.md +├── CONTRIBUTING.md +├── LICENSE +├── .gitignore +├── .pre-commit-config.yaml +└── mkdocs.yml +``` + +## Implementation Phases + +### Phase 1: Foundation & Core Architecture (Week 1-2) + +**1.1 Project Setup** + +- Create folder structure (libs/ and cookbook/) +- Configure pyproject.toml with Poetry/PDM for dependency management +- Setup development environment with pre-commit hooks +- Configure pytest, black, flake8, mypy for code quality +- Setup GitHub Actions CI/CD pipeline +- Create basic README and CONTRIBUTING guidelines + +**1.2 Core Module (libs/semantica/core/)** + +- `orchestrator.py`: Main Semantica class, pipeline coordination +- `config_manager.py`: YAML/JSON configuration handling +- `plugin_registry.py`: Dynamic plugin loading system +- `lifecycle.py`: Initialization, health checks, shutdown +- Base classes and interfaces for all modules +- Error handling and logging infrastructure + +**1.3 Utilities Module (libs/semantica/utils/)** + +- `logging.py`: Structured logging with levels and handlers +- `exceptions.py`: Custom exception hierarchy +- `validators.py`: Common validation functions +- `helpers.py`: Shared utility functions +- `constants.py`: Framework-wide constants +- `types.py`: Type definitions and protocols + +### Phase 2: Data Ingestion & Parsing (Week 3-4) + +**2.1 Ingest Module (libs/semantica/ingest/)** + +- `file_ingestor.py`: Local file system, cloud storage (S3, GCS) +- `web_ingestor.py`: HTTP scraping, sitemap crawling +- `feed_ingestor.py`: RSS/Atom feed parsing +- `stream_ingestor.py`: Real-time stream connections +- `repo_ingestor.py`: Git repository processing +- `email_ingestor.py`: Email protocol handlers +- `db_ingestor.py`: Database export handling +- `base_ingestor.py`: Abstract base class with common functionality + +**2.2 Parse Module (libs/semantica/parse/)** + +- `pdf_parser.py`: PDF text/table/image extraction (PyPDF2, pdfplumber) +- `docx_parser.py`: Word document parsing (python-docx) +- `pptx_parser.py`: PowerPoint parsing (python-pptx) +- `excel_parser.py`: Excel parsing (openpyxl, pandas) +- `html_parser.py`: HTML parsing (BeautifulSoup, lxml) +- `csv_parser.py`: CSV/TSV parsing (pandas, csv) +- `json_parser.py`: JSON/JSONL parsing +- `xml_parser.py`: XML parsing (lxml, xmltodict) +- `image_parser.py`: OCR and image analysis (Tesseract, PIL) +- `base_parser.py`: Parser interface and registry + +### Phase 3: Normalization & Chunking (Week 5) + +**3.1 Normalize Module (libs/semantica/normalize/)** + +- `text_cleaner.py`: HTML removal, whitespace normalization +- `language_detector.py`: Multi-language detection (langdetect) +- `encoding_handler.py`: UTF-8 conversion, BOM handling +- `entity_normalizer.py`: Entity standardization +- `date_normalizer.py`: Date format standardization +- `number_normalizer.py`: Number and unit normalization + +**3.2 Split Module (libs/semantica/split/)** + +- `sliding_window_chunker.py`: Fixed-size chunking with overlap +- `semantic_chunker.py`: Meaning-based splitting (spaCy) +- `structural_chunker.py`: Document-aware splitting +- `table_chunker.py`: Table-aware chunking +- `provenance_tracker.py`: Source tracking for chunks +- `chunk_validator.py`: Chunk quality validation + +### Phase 4: Semantic Extraction (Week 6-7) + +**4.1 Semantic Extract Module (libs/semantica/semantic_extract/)** + +- `ner_extractor.py`: Named entity recognition (spaCy, transformers) +- `relation_extractor.py`: Relationship detection +- `event_detector.py`: Event identification +- `coref_resolver.py`: Co-reference resolution +- `triple_extractor.py`: RDF triple generation +- `llm_enhancer.py`: LLM-based extraction (OpenAI, Anthropic) +- `extraction_validator.py`: Quality validation + +**4.2 Ontology Module (libs/semantica/ontology/)** + +- `class_inferrer.py`: Automatic class discovery +- `property_generator.py`: Property inference +- `owl_generator.py`: OWL/RDF generation (rdflib) +- `base_mapper.py`: Schema.org, FOAF, Dublin Core mapping +- `version_manager.py`: Ontology versioning +- `ontology_validator.py`: Schema validation +- `domain_ontologies.py`: Pre-built domain ontologies + +### Phase 5: Knowledge Graph & Storage (Week 8-9) + +**5.1 Triple Store Module (libs/semantica/triple_store/)** + +- `base_adapter.py`: Abstract triple store interface +- `blazegraph_adapter.py`: Blazegraph integration +- `jena_adapter.py`: Apache Jena integration +- `rdf4j_adapter.py`: RDF4J integration +- `virtuoso_adapter.py`: Virtuoso integration +- `triple_manager.py`: CRUD operations +- `query_engine.py`: SPARQL query execution +- `bulk_loader.py`: High-volume loading + +**5.2 KG Module (libs/semantica/kg/)** + +- `graph_builder.py`: Knowledge graph construction +- `entity_resolver.py`: Entity disambiguation +- `deduplicator.py`: Duplicate detection and merging +- `seed_manager.py`: Initial data loading +- `provenance_tracker.py`: Source tracking +- `conflict_detector.py`: Conflict identification +- `graph_validator.py`: Consistency validation +- `graph_analyzer.py`: Analytics and metrics + +### Phase 6: Embeddings & Vector Storage (Week 10) + +**6.1 Embeddings Module (libs/semantica/embeddings/)** + +- `text_embedder.py`: Text embeddings (sentence-transformers) +- `image_embedder.py`: Image embeddings (CLIP) +- `audio_embedder.py`: Audio embeddings +- `multimodal_embedder.py`: Cross-modal embeddings +- `context_manager.py`: Context window management +- `pooling_strategies.py`: Various pooling methods +- `provider_adapters.py`: OpenAI, BGE, Llama adapters +- `embedding_optimizer.py`: Optimization utilities + +**6.2 Vector Store Module (libs/semantica/vector_store/)** + +- `base_adapter.py`: Abstract vector store interface +- `pinecone_adapter.py`: Pinecone integration +- `faiss_adapter.py`: FAISS integration +- `milvus_adapter.py`: Milvus integration +- `weaviate_adapter.py`: Weaviate integration +- `qdrant_adapter.py`: Qdrant integration +- `namespace_manager.py`: Namespace isolation +- `metadata_store.py`: Metadata indexing +- `hybrid_search.py`: Vector + metadata search + +### Phase 7: Reasoning & Pipeline (Week 11) + +**7.1 Reasoning Module (libs/semantica/reasoning/)** + +- `inference_engine.py`: Rule-based inference +- `sparql_reasoner.py`: SPARQL-based reasoning +- `rete_engine.py`: Rete algorithm implementation +- `abductive_reasoner.py`: Abductive reasoning +- `deductive_reasoner.py`: Deductive reasoning +- `rule_manager.py`: Rule management +- `explanation_generator.py`: Explanation generation + +**7.2 Pipeline Module (libs/semantica/pipeline/)** + +- `pipeline_builder.py`: Pipeline construction DSL +- `execution_engine.py`: Pipeline execution +- `failure_handler.py`: Error handling and retry +- `parallelism_manager.py`: Parallel execution +- `resource_scheduler.py`: Resource allocation +- `pipeline_validator.py`: Pipeline validation +- `pipeline_templates.py`: Pre-built templates + +### Phase 8: Streaming & Real-time (Week 12) + +**8.1 Streaming Module (libs/semantica/streaming/)** + +- `kafka_adapter.py`: Apache Kafka integration +- `pulsar_adapter.py`: Apache Pulsar integration +- `rabbitmq_adapter.py`: RabbitMQ integration +- `kinesis_adapter.py`: AWS Kinesis integration +- `stream_processor.py`: Stream processing logic +- `checkpoint_manager.py`: Checkpoint management +- `exactly_once.py`: Exactly-once semantics +- `backpressure_handler.py`: Flow control + +### Phase 9: Monitoring & Export (Week 13) + +**9.1 Monitoring Module (libs/semantica/monitoring/)** + +- `analytics_dashboard.py`: Real-time analytics +- `quality_assurance.py`: Quality validation +- `performance_monitor.py`: Performance tracking +- `alert_manager.py`: Alert configuration +- `metrics_collector.py`: Metrics collection +- `health_checker.py`: Health monitoring + +**9.2 Export Module (libs/semantica/export/)** + +- `rdf_exporter.py`: RDF format exports +- `json_exporter.py`: JSON/JSON-LD exports +- `csv_exporter.py`: CSV exports +- `graph_exporter.py`: Graph format exports +- `report_generator.py`: Report generation + +### Phase 10: Examples & Documentation (Week 14-15) + +**10.1 Cookbook Examples (cookbook/examples/)** + +- **01_quick_start/** + - `simple_processing.py`: Basic document processing + - `knowledge_graph_101.py`: Simple KG construction + - `semantic_search.py`: Basic semantic search + +- **02_document_processing/** + - `pdf_extraction.py`: PDF processing pipeline + - `office_documents.py`: DOCX/XLSX/PPTX processing + - `multi_format.py`: Processing multiple formats + +- **03_knowledge_graphs/** + - `building_kg.py`: Complete KG construction + - `entity_resolution.py`: Entity disambiguation + - `conflict_detection.py`: Handling conflicts + +- **04_semantic_search/** + - `vector_search.py`: Vector similarity search + - `hybrid_search.py`: Combined vector + metadata + - `rag_pipeline.py`: RAG implementation + +- **05_real_time_streams/** + - `kafka_processing.py`: Kafka stream processing + - `feed_monitoring.py`: RSS feed monitoring + - `web_monitoring.py`: Website change detection + +**10.2 Domain Use Cases (cookbook/use_cases/)** + +- **healthcare/** + - `medical_literature.py`: PubMed processing + - `clinical_reports.py`: Clinical report analysis + - `drug_interactions.py`: Drug interaction detection + +- **finance/** + - `financial_reports.py`: Financial document analysis + - `market_intelligence.py`: News and market data + - `regulatory_compliance.py`: Compliance monitoring + +- **cybersecurity/** + - `threat_intelligence.py`: Threat report processing + - `vulnerability_tracking.py`: CVE database integration + - `incident_analysis.py`: Security incident analysis + +- **research/** + - `citation_network.py`: Citation network building + - `research_trends.py`: Trend analysis + - `collaboration_graph.py`: Researcher networks + +- **legal/** + - `case_law.py`: Legal case processing + - `contract_analysis.py`: Contract intelligence + - `regulatory_mapping.py`: Regulation tracking + +**10.3 Jupyter Notebooks (cookbook/notebooks/)** + +- `tutorial_01_getting_started.ipynb`: Introduction +- `tutorial_02_data_ingestion.ipynb`: Data ingestion +- `tutorial_03_semantic_extraction.ipynb`: Semantic extraction +- `tutorial_04_knowledge_graphs.ipynb`: KG construction +- `tutorial_05_embeddings.ipynb`: Embeddings and search +- `tutorial_06_advanced_pipelines.ipynb`: Advanced pipelines +- `experiment_custom_parsers.ipynb`: Custom parser development +- `experiment_reasoning.ipynb`: Reasoning experiments + +**10.4 Documentation (docs/)** + +- `getting-started.md`: Quick start guide +- `installation.md`: Installation instructions +- `architecture.md`: System architecture +- `api-reference/`: Complete API documentation +- `tutorials/`: Step-by-step tutorials +- `best-practices.md`: SDK best practices +- `performance-tuning.md`: Optimization guide +- `deployment.md`: Production deployment + +### Phase 11: Testing & Quality (Week 16) + +**11.1 Test Suite (libs/tests/)** + +- **unit/**: Unit tests for all modules (80%+ coverage) +- **integration/**: Integration tests for workflows +- **fixtures/**: Test data and mocks +- **performance/**: Performance benchmarks +- **e2e/**: End-to-end scenarios + +**11.2 Quality Assurance** + +- Comprehensive test coverage (target: 85%+) +- Type hints throughout (mypy strict mode) +- Code formatting (black, isort) +- Linting (flake8, pylint) +- Security scanning (bandit) +- Documentation coverage (docstrings everywhere) + +### Phase 12: Packaging & Distribution (Week 17) + +**12.1 Package Configuration** + +- Configure pyproject.toml with proper metadata +- Setup entry points for CLI tools +- Configure optional dependencies ([all], [pdf], [web], etc.) +- Build wheels and source distributions +- Test installation in clean environments + +**12.2 Distribution** + +- PyPI package publishing +- Docker image creation and DockerHub +- Conda package (conda-forge) +- GitHub releases with binaries +- Documentation hosting (ReadTheDocs) + +### Phase 13: Final Polish (Week 18) + +**13.1 Documentation Review** + +- Complete API documentation +- Tutorial walkthroughs +- Example verification +- FAQ and troubleshooting +- Contributing guidelines + +**13.2 Community Setup** + +- GitHub repository setup +- Issue templates +- Pull request templates +- Code of conduct +- Community guidelines +- Discord/Slack community + +## SDK Best Practices Applied + +1. **API-First Design**: Clear interfaces and protocols +2. **Modular Architecture**: Pluggable components +3. **Type Safety**: Full type hints throughout +4. **Error Handling**: Specific exceptions with context +5. **Documentation**: Comprehensive docstrings and guides +6. **Testing**: High coverage with unit and integration tests +7. **Versioning**: Semantic versioning (SemVer) +8. **Backward Compatibility**: Deprecation warnings +9. **Configuration**: Flexible, validated configuration +10. **Observability**: Built-in logging and metrics +11. **Performance**: Optimized with benchmarks +12. **Security**: Input validation and secure defaults + +## Technology Stack + +**Core:** + +- Python 3.8+ (type hints, dataclasses, async/await) +- Poetry/PDM for dependency management +- pydantic for data validation +- click for CLI + +**Data Processing:** + +- pandas, numpy for data manipulation +- PyPDF2, pdfplumber for PDF +- python-docx, python-pptx, openpyxl for Office +- BeautifulSoup, lxml for HTML/XML +- Pillow, pytesseract for images + +**NLP & Semantic:** + +- spaCy for NLP +- transformers (HuggingFace) for models +- sentence-transformers for embeddings +- rdflib for RDF/OWL +- nltk for text processing + +**Storage:** + +- Neo4j driver for graph DB +- pinecone-client, faiss-cpu for vectors +- requests for HTTP +- SQLAlchemy for SQL databases + +**Streaming:** + +- kafka-python for Kafka +- pika for RabbitMQ +- redis for caching + +**Testing & Quality:** + +- pytest for testing +- pytest-cov for coverage +- black, isort for formatting +- flake8, mypy for linting +- pre-commit for hooks + +**Documentation:** + +- Sphinx for API docs +- mkdocs-material for user docs +- Jupyter for notebooks + +## Success Criteria + +1. ✅ Complete modular framework with 15+ modules +2. ✅ Support for 20+ file formats +3. ✅ 80%+ test coverage +4. ✅ Comprehensive documentation +5. ✅ 20+ working examples in cookbook +6. ✅ 5+ domain-specific use cases +7. ✅ PyPI package published +8. ✅ Docker images available +9. ✅ CI/CD pipeline functional +10. ✅ Community resources setup + +## Milestones + +- **Week 2**: Core foundation and project structure +- **Week 4**: Data ingestion and parsing complete +- **Week 7**: Semantic extraction and ontology working +- **Week 9**: Knowledge graph and storage functional +- **Week 11**: Reasoning and pipelines operational +- **Week 13**: Streaming and monitoring integrated +- **Week 15**: Complete documentation and examples +- **Week 17**: Package ready for distribution +- **Week 18**: Launch ready with community support