ai-robot-core/ai-service/scripts/check_course_kb_collection.py

51 lines
1.5 KiB
Python

"""
检查课程知识库的 collection 是否存在
"""
import asyncio
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
from qdrant_client import AsyncQdrantClient
from app.core.config import get_settings
from app.core.qdrant_client import QdrantClient
async def check_course_kb_collection():
"""检查课程知识库的 collection 是否存在"""
settings = get_settings()
client = QdrantClient()
qdrant = await client.get_client()
tenant_id = "szmp@ash@2026"
kb_id = "75c465fe-277d-455d-a30b-4b168adcc03b"
collection_name = client.get_kb_collection_name(tenant_id, kb_id)
print(f"课程知识库 collection name: {collection_name}")
exists = await qdrant.collection_exists(collection_name)
print(f"Collection exists: {exists}")
if exists:
points = await qdrant.scroll(
collection_name=collection_name,
limit=5,
with_vectors=False,
)
print(f"\n课程知识库中有 {len(points)} 条数据:")
for i, point in enumerate(points, 1):
payload = point.get('payload', {})
print(f" [{i}] payload keys: {list(payload.keys())}")
for key, value in payload.items():
if key != 'text' and key != 'vector':
print(f" {key}: {value}")
else:
print(f"课程知识库 collection 不存在!")
if __name__ == "__main__":
asyncio.run(check_course_kb_collection())