feat(data-process): 支持单项生成五十条数据

backend/app/schemas/data_process.py

@@ -5,6 +5,8 @@ from typing import Any, Literal
 
 from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
 
+from app.modules.data_process.constants import MAX_QA_PAIRS_PER_ITEM
+
 
 def _config_value(config: dict[str, Any], snake_name: str, camel_name: str, default: Any) -> Any:
     if snake_name in config:
@@ -89,8 +91,14 @@ def _validate_process_config(config: dict[str, Any]) -> None:
         pairs = _config_value(config, snake_name, camel_name, None)
         if pairs is None:
             continue
-        if isinstance(pairs, bool) or not isinstance(pairs, int) or not 1 <= pairs <= 5:
-            raise ValueError(f"{snake_name} must be an integer in [1, 5]")
+        if (
+            isinstance(pairs, bool)
+            or not isinstance(pairs, int)
+            or not 1 <= pairs <= MAX_QA_PAIRS_PER_ITEM
+        ):
+            raise ValueError(
+                f"{snake_name} must be an integer in [1, {MAX_QA_PAIRS_PER_ITEM}]"
+            )
 
 
 class DataProcessStatus(StrEnum):