bugfix

README.md

@@ -51,3 +51,132 @@
     }
 ]
 ```
+
+## API
+对外提供http的接口，安全要求会提供客户端ip过滤
+
+### 创建集合
+
+path：/v1/createcollection
+method：POST
+headers：{
+	"Content-Type": "application/json"
+}
+data：{
+	colname: 集合名字，必须提供
+	fields:	集合字段集，请参照字段类型提供
+	description:可选， 集合描述
+}
+
+成功返回
+{
+	"status":"SUCCEEDED"
+}
+
+失败返回
+{
+	"status":"FAILED",
+	"error": 错误信息
+}
+
+### 删除集合
+
+path：/v1/dropcollection
+method：POST
+headers：{
+	"Content-Type": "application/json"
+}
+data：{
+	colname: 集合名字，必须提供
+}
+
+成功返回
+{
+	"status":"SUCCEEDED"
+}
+
+失败返回
+{
+	"status":"FAILED",
+	"error": 错误信息
+}
+
+### 向集合插入一到多条记录
+
+path：/v1/upsert
+method：POST
+headers：{
+	"Content-Type": "application/json"
+}
+data：{
+	colname: 集合名字，必须提供
+	data:	数据字典或数据字典数组
+}
+
+成功返回
+{
+	"status":"SUCCEEDED"
+}
+
+失败返回
+{
+	"status":"FAILED",
+	"error": 错误信息
+}
+
+### 删除集合一到多条记录
+
+path：/v1/delete
+method：POST
+headers：{
+	"Content-Type": "application/json"
+}
+data：{
+	colname: 集合名字，必须提供
+	pks:	主键或主键数组
+	description:可选， 集合描述
+}
+
+成功返回
+{
+	"status":"SUCCEEDED"
+}
+
+失败返回
+{
+	"status":"FAILED",
+	"error": 错误信息
+}
+
+### 查询集合数据
+
+path：/v1/createcollection
+method：POST
+headers：{
+	"Content-Type": "application/json"
+}
+data：{
+	colname: 集合名字，必须提供
+	fields:	集合字段集，请参照字段类型提供
+	description:可选， 集合描述
+}
+
+成功返回
+{
+	"status":"SUCCEEDED"
+	"data": 返回数据
+}
+
+失败返回
+{
+	"status":"FAILED",
+	"error": 错误信息
+}
+
+返回数据有如下结构
+{
+	"total": -1,   # 不知道总共多少条符合条件的数据
+	"page": 当前页（起始1）
+	"pagerows": 每页记录数
+	"rows": 记录数据
+}

conf/config.json

@@ -0,0 +1,60 @@
+{
+	"vdb_type": "milvus",
+	"filesroot": "$[workdir]$/files",
+    "milvus_db": "$[workdir]$/db/milvus.db",
+    "logger": {
+        "name": "vdb",
+        "levelname": "info",
+        "logfile": "$[workdir]$/logs/vdb.log"
+    },
+    "website": {
+        "paths": [
+            ["$[workdir]$/wwwroot", ""]
+        ],
+        "client_max_size": 10000,
+        "host": "0.0.0.0",
+        "port": 8886,
+        "coding": "utf-8",
+        "indexes": [
+            "index.html",
+			"index.dspy",
+            "index.ui"
+        ],
+        "startswiths": [
+            {
+                "leading": "/idfile",
+                "registerfunction": "idfile"
+            },
+            {
+                "leading": "/v1/createcollection",
+                "registerfunction": "create_collection"
+            },
+            {
+                "leading": "/v1/dropcollection",
+                "registerfunction": "drop_collection"
+            },
+            {
+                "leading": "/v1/iupsert",
+                "registerfunction": "upsert"
+            },
+            {
+                "leading": "/v1/delete",
+                "registerfunction": "delete"
+            },
+            {
+            "leading": "/v1/query",
+            "registerfunction": "query"
+            },
+            {
+                "leading": "/docs",
+                "registerfunction": "docs"
+            }
+        ],
+        "processors": [
+            [".tmpl", "tmpl"],
+            [".app", "app"],
+            [".ui", "bui"],
+            [".dspy", "dspy"],
+            [".md", "md"]
+        ],
+

vdb/milvus.py

@@ -141,14 +141,14 @@ class MilvusManager(BaseVDB):
         
         return [columnar_data[f] for f in required_fields]
 
-    def upsert(self, collection_name, data_dicts, partition_name=None):
+    def upsert(self, collection_name, data_dicts):
         """通用 Upsert：支持字典列表输入，自动识别主键更新"""
 		pks = [item['id'] for item in data_dicts]
 		self.delete(collection_name, pks)
 		col = Collection(collection_name, using=self.alias)
 		if self.partitionize is None:
 			formatted_data = self._validate_and_format(col, data_dicts)
-			res = col.upsert(formatted_data, partition_name=partition_name)
+			res = col.upsert(formatted_data)
 			col.flush() # 内网环境强制落盘以防数据丢失
 			return res
 		grouped_data = {}
@@ -201,14 +201,25 @@ class MilvusManager(BaseVDB):
             vec_field = next(f.name for f in col.schema.fields if f.dtype == DataType.FLOAT_VECTOR)
             search_params = {"metric_type": "L2", "params": {"ef": 64}, "offset": offset}
             
-            return col.search(
-                data=[vector],
-                anns_field=vec_field,
-                param=search_params,
-                limit=limit,
-                expr=expr,
-                output_fields=output_fields
-            )
+            return {
+				"total": -1,
+				"page": page,
+				"pagerows": pagerows,
+				"rows": col.search(
+					data=[vector],
+					anns_field=vec_field,
+					param=search_params,
+					limit=limit,
+					offset=offset,
+					expr=expr,
+					output_fields=output_fields
+				)
+			}
         else:
             # 纯标量查询
-            return col.query(expr=expr, limit=limit, offset=offset, output_fields=output_fields)
+            return {
+				"total": -1,
+				"page": page,
+				"pagerows": pagerows,
+				"rows": col.query(expr=expr, limit=limit, offset=offset, output_fields=output_fields)
+			}