cli support run LabelFilterPerformanceCase (#626)

* cli support LabelFilterPerformanceCase

* fix format

---------

Co-authored-by: egolearner <[email protected]>

Author: egolearner

vectordb_bench/cli/cli.py

@@ -188,6 +188,11 @@ def get_custom_case_config(parameters: dict) -> dict:
             "dataset_with_size_type": parameters["dataset_with_size_type"],
             "filter_rate": parameters["filter_rate"],
         }
+    elif parameters["case_type"] == "LabelFilterPerformanceCase":
+        custom_case_config = {
+            "dataset_with_size_type": parameters["dataset_with_size_type"],
+            "label_percentage": parameters["label_percentage"],
+        }
     return custom_case_config
 
 
@@ -425,9 +430,9 @@ class CommonTypedDict(TypedDict):
         str,
         click.option(
             "--dataset-with-size-type",
-            help="Dataset with size type for NewIntFilterPerformanceCase, you can use Medium Cohere (768dim, 1M)|"
-            "Large Cohere (768dim, 10M)|Medium Bioasq (1024dim, 1M)|Large Bioasq (1024dim, 10M)|"
-            "Large OpenAI (1536dim, 5M)|Medium OpenAI (1536dim, 500K)",
+            help="Dataset with size type for NewIntFilterPerformanceCase/LabelFilterPerformanceCase, you can use "
+            "Medium Cohere (768dim, 1M)|Large Cohere (768dim, 10M)|Medium Bioasq (1024dim, 1M)|"
+            "Large Bioasq (1024dim, 10M)|Large OpenAI (1536dim, 5M)|Medium OpenAI (1536dim, 500K)",
             default="Medium Cohere (768dim, 1M)",
             show_default=True,
         ),
@@ -441,6 +446,15 @@ class CommonTypedDict(TypedDict):
             show_default=True,
         ),
     ]
+    label_percentage: Annotated[
+        float,
+        click.option(
+            "--label-percentage",
+            help="Filter rate for LabelFilterPerformanceCase",
+            default=0.01,
+            show_default=True,
+        ),
+    ]
 
 
 class HNSWBaseTypedDict(TypedDict):