- Vision Encoder Service (OpenCLIP ViT-L/14, GPU-accelerated)
- FastAPI app with text/image embedding endpoints (768-dim)
- Docker support with NVIDIA GPU runtime
- Port 8001, health checks, model info API
- Qdrant Vector Database integration
- Port 6333/6334 (HTTP/gRPC)
- Image embeddings storage (768-dim, Cosine distance)
- Auto collection creation
- Vision RAG implementation
- VisionEncoderClient (Python client for API)
- Image Search module (text-to-image, image-to-image)
- Vision RAG routing in DAGI Router (mode: image_search)
- VisionEncoderProvider integration
- Documentation (5000+ lines)
- SYSTEM-INVENTORY.md - Complete system inventory
- VISION-ENCODER-STATUS.md - Service status
- VISION-RAG-IMPLEMENTATION.md - Implementation details
- vision_encoder_deployment_task.md - Deployment checklist
- services/vision-encoder/README.md - Deployment guide
- Updated WARP.md, INFRASTRUCTURE.md, Jupyter Notebook
- Testing
- test-vision-encoder.sh - Smoke tests (6 tests)
- Unit tests for client, image search, routing
- Services: 17 total (added Vision Encoder + Qdrant)
- AI Models: 3 (qwen3:8b, OpenCLIP ViT-L/14, BAAI/bge-m3)
- GPU Services: 2 (Vision Encoder, Ollama)
- VRAM Usage: ~10 GB (concurrent)
Status: Production Ready ✅
173 lines
4.6 KiB
Python
173 lines
4.6 KiB
Python
"""
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Events module for rag-service
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Publishes RAG events to NATS JetStream STREAM_RAG
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"""
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import json
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import uuid
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import logging
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from datetime import datetime
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from typing import Dict, Any, Optional
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import asyncio
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from app.core.config import settings
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try:
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import nats
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NATS_AVAILABLE = True
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except ImportError:
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NATS_AVAILABLE = False
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nats = None
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logger = logging.getLogger(__name__)
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# Connection to NATS
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_nats_conn: Optional[nats.NATS] = None
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async def is_nats_available():
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"""Check if NATS is available"""
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return NATS_AVAILABLE
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async def get_nats_connection():
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"""Initialize or return existing NATS connection"""
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if not NATS_AVAILABLE:
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logger.warning("NATS not available, events will be skipped")
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return None
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global _nats_conn
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if _nats_conn is None:
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_nats_conn = await nats.connect(settings.NATS_URL)
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# Initialize JetStream context
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js = _nats_conn.jetstream()
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# Ensure STREAM_RAG exists
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try:
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await js.add_stream(
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name="STREAM_RAG",
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subjects=[
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"parser.document.parsed",
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"rag.document.ingested",
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"rag.document.indexed"
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],
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retention=nats.RetentionPolicy.WORK_QUEUE,
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storage=nats.StorageType.FILE,
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replicas=3
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)
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logger.info("STREAM_RAG created or already exists")
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except nats.js.errors.StreamAlreadyExists:
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logger.info("STREAM_RAG already exists")
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except Exception as e:
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logger.error(f"Failed to create STREAM_RAG: {e}")
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raise
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return _nats_conn
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async def publish_event(
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subject: str,
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payload: Dict[str, Any],
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team_id: str,
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trace_id: Optional[str] = None,
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span_id: Optional[str] = None
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):
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"""Publish an event to NATS JetStream"""
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try:
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conn = await get_nats_connection()
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event_envelope = {
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"event_id": f"evt_{uuid.uuid4().hex[:8]}",
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"ts": datetime.utcnow().isoformat() + "Z",
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"domain": "rag",
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"type": subject,
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"version": 1,
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"actor": {
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"id": "rag-service",
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"kind": "service"
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},
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"payload": payload,
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"meta": {
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"team_id": team_id,
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"trace_id": trace_id or uuid.uuid4().hex[:8],
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"span_id": span_id or uuid.uuid4().hex[:8]
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}
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}
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# Publish to JetStream
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js = conn.jetstream()
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ack = await js.publish(subject, json.dumps(event_envelope))
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logger.info(f"Event published to {subject}: {seq={ack.sequence}, stream_seq={ack.stream_seq}")
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return ack
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except Exception as e:
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logger.error(f"Failed to publish event {subject}: {e}", exc_info=True)
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raise
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async def publish_document_ingested(
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doc_id: str,
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team_id: str,
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dao_id: str,
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chunk_count: int,
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indexed: bool = True,
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visibility: str = "public",
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metadata: Optional[Dict[str, Any]] = None,
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trace_id: Optional[str] = None,
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span_id: Optional[str] = None
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):
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"""Publish rag.document.ingested event"""
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payload = {
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"doc_id": doc_id,
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"team_id": team_id,
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"dao_id": dao_id,
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"chunk_count": chunk_count,
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"indexed": indexed,
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"visibility": visibility,
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"metadata": metadata or {}
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}
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return await publish_event(
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subject="rag.document.ingested",
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payload=payload,
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team_id=team_id,
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trace_id=trace_id,
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span_id=span_id
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)
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async def publish_document_indexed(
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doc_id: str,
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team_id: str,
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dao_id: str,
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chunk_ids: list[str],
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indexed: bool = True,
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visibility: str = "public",
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metadata: Optional[Dict[str, Any]] = None,
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trace_id: Optional[str] = None,
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span_id: Optional[str] = None
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):
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"""Publish rag.document.indexed event"""
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payload = {
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"doc_id": doc_id,
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"team_id": team_id,
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"dao_id": dao_id,
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"chunk_ids": chunk_ids,
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"indexed": indexed,
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"visibility": visibility,
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"metadata": metadata or {}
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}
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return await publish_event(
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subject="rag.document.indexed",
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payload=payload,
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team_id=team_id,
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trace_id=trace_id,
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span_id=span_id
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)
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async def close_nats():
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"""Close NATS connection"""
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global _nats_conn
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if _nats_conn:
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await _nats_conn.drain()
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await _nats_conn.close()
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_nats_conn = None
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logger.info("NATS connection closed") |