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#!/usr/bin/env python3
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()
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