remove redundant empty_field config check for qdrant and tidb

Signed-off-by: min.tian <min.tian.cn@gmail.com>

Author: alwayslove2013

vectordb_bench/backend/clients/qdrant_cloud/config.py

@@ -1,4 +1,4 @@
-from pydantic import BaseModel, SecretStr, validator
+from pydantic import BaseModel, SecretStr
 
 from ..api import DBCaseConfig, DBConfig, MetricType
 
@@ -20,14 +20,6 @@ def to_dict(self) -> dict:
             "url": self.url.get_secret_value(),
         }
 
-    @validator("*")
-    def not_empty_field(cls, v: any, field: any):
-        if field.name in ["api_key", "db_label"]:
-            return v
-        if isinstance(v, str | SecretStr) and len(v) == 0:
-            raise ValueError("Empty string!")
-        return v
-
 
 class QdrantIndexConfig(BaseModel, DBCaseConfig):
     metric_type: MetricType | None = None

vectordb_bench/backend/clients/tidb/config.py

@@ -1,5 +1,6 @@
-from pydantic import SecretStr, BaseModel, validator
-from ..api import DBConfig, DBCaseConfig, MetricType
+from pydantic import BaseModel, SecretStr
+
+from ..api import DBCaseConfig, DBConfig, MetricType
 
 
 class TiDBConfig(DBConfig):
@@ -10,10 +11,6 @@ class TiDBConfig(DBConfig):
     db_name: str = "test"
     ssl: bool = False
 
-    @validator("*")
-    def not_empty_field(cls, v: any, field: any):
-        return v
-
     def to_dict(self) -> dict:
         pwd_str = self.password.get_secret_value()
         return {
@@ -33,10 +30,10 @@ class TiDBIndexConfig(BaseModel, DBCaseConfig):
     def get_metric_fn(self) -> str:
         if self.metric_type == MetricType.L2:
             return "vec_l2_distance"
-        elif self.metric_type == MetricType.COSINE:
+        if self.metric_type == MetricType.COSINE:
             return "vec_cosine_distance"
-        else:
-            raise ValueError(f"Unsupported metric type: {self.metric_type}")
+        msg = f"Unsupported metric type: {self.metric_type}"
+        raise ValueError(msg)
 
     def index_param(self) -> dict:
         return {