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82 lines
2.9 KiB
82 lines
2.9 KiB
# MilvusCollectionManager.py
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from pymilvus import Collection, utility, CollectionSchema
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class MilvusCollectionManager:
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def __init__(self, collection_name):
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"""
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初始化集合管理器
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:param collection_name: 集合名称
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"""
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self.collection_name = collection_name
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self.collection = None
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self._load_collection_if_exists()
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def _load_collection_if_exists(self):
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"""
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如果集合存在，则加载集合
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"""
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if utility.has_collection(self.collection_name):
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self.collection = Collection(name=self.collection_name)
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print(f"集合 '{self.collection_name}' 已加载。")
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else:
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print(f"集合 '{self.collection_name}' 不存在。")
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def create_collection(self, fields, schema_description):
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"""
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创建集合
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:param fields: 字段列表
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:param schema_description: 集合描述
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"""
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if utility.has_collection(self.collection_name):
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utility.drop_collection(self.collection_name) # 如果集合已存在，先删除
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schema = CollectionSchema(fields, description=schema_description)
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self.collection = Collection(name=self.collection_name, schema=schema)
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print(f"集合 '{self.collection_name}' 创建成功。")
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def insert_data(self, entities):
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"""
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插入数据
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:param entities: 要插入的数据
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"""
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if self.collection is None:
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raise Exception("集合未创建，请先调用 create_collection 方法")
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self.collection.insert(entities)
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print("数据插入成功。")
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def create_index(self, field_name, index_params):
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"""
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创建索引
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:param field_name: 字段名称
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:param index_params: 索引参数
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"""
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if self.collection is None:
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raise Exception("集合未创建，请先调用 create_collection 方法")
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self.collection.create_index(field_name, index_params)
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print("索引创建成功。")
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def load_collection(self):
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"""
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加载集合到内存
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"""
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if self.collection is None:
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raise Exception("集合未创建，请先调用 create_collection 方法")
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self.collection.load()
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print("集合已加载到内存。")
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def search(self, query_vector, search_params, limit=2):
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"""
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查询数据
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:param query_vector: 查询向量
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:param search_params: 查询参数
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:param limit: 返回结果数量
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:return: 查询结果
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"""
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if self.collection is None:
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raise Exception("集合未创建，请先调用 create_collection 方法")
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return self.collection.search(
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data=[query_vector],
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anns_field="embedding",
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param=search_params,
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limit=limit
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) |