| |
| from __future__ import annotations |
|
|
| import json |
| import os |
| import sys |
| from typing import Any, Dict |
|
|
| import requests |
|
|
|
|
| QDRANT_URL = os.environ.get("QDRANT_URL", "http://localhost:17000") |
| COLLECTION = os.environ.get("QDRANT_COLLECTION", "elizabeth_embeddings") |
| VECTOR_SIZE = int(os.environ.get("QDRANT_VECTOR_SIZE", "1536")) |
| DISTANCE = os.environ.get("QDRANT_DISTANCE", "Cosine") |
|
|
|
|
| def ensure_collection() -> Dict[str, Any]: |
| r = requests.get(f"{QDRANT_URL}/collections/{COLLECTION}", timeout=5) |
| if r.status_code == 200: |
| return {"status": "exists"} |
| payload = { |
| "vectors": {"size": VECTOR_SIZE, "distance": DISTANCE}, |
| "hnsw_config": {"m": 64, "ef_construct": 128, "full_scan_threshold": 10000}, |
| "optimizers_config": {"default_segment_number": 2}, |
| } |
| r = requests.put(f"{QDRANT_URL}/collections/{COLLECTION}", json=payload, timeout=30) |
| return {"status": "created", "code": r.status_code, "body": r.text} |
|
|
|
|
| def main() -> None: |
| try: |
| res = ensure_collection() |
| print(json.dumps(res)) |
| except Exception as e: |
| print(json.dumps({"error": str(e)})) |
| sys.exit(1) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
