feat: ExperionCrawler IIoT OPC UA Data Bridge Infrastructure
Major project initialization and feature implementation: **Core Features:** - OPC UA client for Honeywell Experion HS R530 integration - Real-time data streaming and history data retrieval - Text-to-SQL query engine with TimeScaleDB - JSON-based node configuration system - SQLite database with migration support **Architecture:** - Clean architecture with Domain, Application, Infrastructure layers - ASP.NET Core Web API frontend - Web UI with real-time visualization - PKI-based OPC UA authentication (TLS) **Infrastructure Components:** - ExperionOpcClient: OPC UA connection management - ExperionRealtimeService: Real-time data streaming - ExperionHistoryService: Historical data queries - TextToSqlService: Natural language to SQL queries - SqlValidator: SQL injection prevention **Database:** - TimescaleDB integration (recommended) or SQLite fallback - Entity Framework Core with Extenstion methods - OPCTag, KeyValue tables for data storage **Security:** - Certificate-based OPC UA endpoint security - SSL/TLS encryption for database connections - Output param binding injection prevention **Testing:** - Unit tests for TextToSqlService and SqlValidator - Integration tests for Korean time range extraction See REVIEW_REQUEST.md for detailed code review information.
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mcp-server/pyproject.toml
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mcp-server/pyproject.toml
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[project]
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name = "iiot-rag-mcp"
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version = "0.1.0"
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description = "ExperionCrawler RAG MCP Server — Qdrant + GLM-4.7-Flash"
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requires-python = ">=3.10"
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dependencies = [
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"mcp[cli]>=1.0.0",
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"qdrant-client>=1.9.0",
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"sentence-transformers>=3.0.0",
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"openai>=1.0.0",
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"httpx>=0.27.0",
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]
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[project.scripts]
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iiot-rag-mcp = "server:main"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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