Synchronising Test Script changes made by Antigravity with the Claude Branch #3
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…7kVK7uJm29JSjaF 🚀 Key Features Implemented Express.js API with health checks, CRUD, semantic search Firestore schema for 400M+ users with hypergraph model 35 TDD tests (London School) with Jest OpenAPI 3.0 documentation with all schemas CI/CD pipelines for GCP Cloud Run (auto-scaling 1-100 instances) 📦 Commit & Push 774f7c5 feat: Implement Nexus-UMMID Metadata API with full production stack Branch: claude/init-nexus-ummid-012oEX5Es7kVK7uJm29JSjaF
…7kVK7uJm29JSjaF ## Summary Complete implementation of the **Nexus-UMMID Entertainment Discovery Platform** for the Agentics Hackathon. This PR delivers a production-ready metadata API deployed to Google Cloud Run with semantic search capabilities, multi-platform connectors, and AI-powered enrichment. ### 🚀 Live Deployment **Service URL:** https://nexus-ummid-api-181630922804.us-central1.run.app ## Key Features ### 1. Metadata API (Full CRUD) - RESTful API for entertainment metadata management - Pagination, filtering, and validation - Auto-generated asset IDs with EIDR support ### 2. Platform Connectors (3 Industry Standards) | Connector | Standard | Use Case | |-----------|----------|----------| | **Netflix IMF** | Interoperable Master Format | Premium content packaging with Dolby Vision HDR | | **Amazon MEC** | EMA Avails v2.5 | Multi-territory rights management | | **FAST MRSS** | Media RSS | Pluto TV, Tubi, Samsung TV+, Roku Channel | ### 3. Semantic Search Infrastructure - **RuVector** in-memory vector search (<100µs latency) - **Vertex AI** text-embedding-004 integration (768 dimensions) - Hybrid search with score fusion (RRF algorithm) ### 4. AI-Powered Enrichment - Automatic mood tag generation - Platform-specific validation - Pattern learning with AgentDB ### 5. Production Deployment - Multi-stage Docker build (Node.js 20 Alpine) - Cloud Run auto-scaling (0-100 instances) - Cloud Monitoring alerts and dashboards - GitHub Actions CI/CD pipeline ## API Endpoints Verified | Endpoint | Method | Status | |----------|--------|--------| | `/health` | GET | ✅ | | `/api/v1/metadata` | GET/POST | ✅ | | `/api/v1/metadata/:id` | GET/PUT/DELETE | ✅ | | `/api/v1/metadata/:id/enrich` | POST | ✅ | | `/api/v1/metadata/:id/validate` | POST | ✅ | | `/api/v1/search` | GET | ✅ | | `/api/v1/search/similar/:id` | GET | ✅ | | `/api/v1/search/trending` | GET | ✅ | | `/api/v1/search/stats` | GET | ✅ | ## Tech Stack - **Runtime:** Node.js 20, TypeScript 5.x - **Framework:** Express.js with OpenAPI validation - **Database:** In-memory + Firestore (production) - **AI/ML:** Vertex AI Embeddings, Matching Engine - **Orchestration:** Claude-Flow with 13-agent SPARC swarm - **Deployment:** Cloud Run, Artifact Registry, Cloud Build ## Test Plan - [x] Health endpoint returns 200 - [x] CRUD operations work on `/api/v1/metadata` - [x] Platform validation (Netflix, Amazon, FAST) returns valid - [x] AI enrichment adds moodTags - [x] Search infrastructure initialized - [x] TypeScript compiles with no errors - [x] Docker image builds successfully ## Files Changed by Category | Category | Files | Lines | |----------|-------|-------| | Platform Connectors | 6 | ~3,500 | | Vertex AI Integration | 4 | ~1,780 | | Search (RuVector/Hybrid) | 4 | ~1,075 | | AgentDB Learning | 5 | ~1,200 | | Monitoring/Deployment | 8 | ~2,500 | | Synthetic Test Data | 3 | ~2,500 | | Documentation | 10 | ~4,500 | | Tests | 5 | ~1,600 | ## Architecture
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Synchronising Test Script changes made by Antigravity with the Claude Branch