File size: 1,898 Bytes
beb2111 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | from pymilvus import (
connections,
Collection,
CollectionSchema,
FieldSchema,
DataType,
utility,
)
from dotenv import load_dotenv
import os
from config import DOCS_INDEX_NAME
import logging
logger = logging.getLogger("backend")
load_dotenv()
def connect_db():
"""连接到 Zilliz Cloud"""
uri = os.getenv("ZILLIZ_CLOUD_URI")
token = os.getenv("ZILLIZ_CLOUD_TOKEN")
logger.info(f"Connecting to DB: {uri}")
connections.connect(alias="default", uri=uri, token=token)
logger.info("Success!")
def create_schema_if_not_exists():
try:
connect_db()
# 定义 collection schema
fields = [
FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=True),
FieldSchema(name="source", dtype=DataType.VARCHAR, max_length=3000),
FieldSchema(name="publish_time", dtype=DataType.VARCHAR, max_length=50),
FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=1024),
]
schema = CollectionSchema(
fields=fields, description="News documents collection"
)
# 检查 collection 是否存在
if not utility.has_collection(DOCS_INDEX_NAME):
collection = Collection(name=DOCS_INDEX_NAME, schema=schema)
# 创建索引
index_params = {
"metric_type": "COSINE",
"index_type": "IVF_FLAT",
"params": {"nlist": 1024},
}
collection.create_index(field_name="embedding", index_params=index_params)
logger.info(f"已创建collection和索引: {DOCS_INDEX_NAME}")
else:
logger.warning(f"Collection {DOCS_INDEX_NAME} 已存在")
except Exception as e:
logger.error(f"创建collection时出错: {str(e)}")
raise
finally:
connections.disconnect("default")
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