new api service and logic implemented

ApiLayers/ApiValidations/handler.py

@@ -0,0 +1,58 @@
+"""
+Base validation models and utilities.
+"""
+
+from pydantic import BaseModel, ConfigDict
+
+
+def rewrite_input_data(data):
+    """Remove empty and None values from input data."""
+    return {
+        item[0]: item[1]
+        for item in data.items()
+        if not item[1] == "" and item[1] is not None
+    }
+
+
+class BaseModelRegular(BaseModel):
+    """Base model for all validation models with proper schema handling."""
+
+    model_config = ConfigDict(
+        json_schema_extra={"example": {}}  # Will be populated by subclasses
+    )
+
+    def __init__(self, **kwargs):
+        super().__init__(**rewrite_input_data(kwargs))
+
+    def excluded_dump(self):
+        return self.model_dump(exclude_unset=True, exclude_none=True)
+
+    def dump(self):
+        return self.model_dump()
+
+    @classmethod
+    def model_json_schema(cls, *args, **kwargs):
+        """Generate JSON schema with proper examples."""
+        schema = super().model_json_schema(*args, **kwargs)
+
+        # Add examples based on field types
+        if "properties" in schema:
+            example = {}
+            for field_name, field_schema in schema["properties"].items():
+                field_type = field_schema.get("type")
+                if field_type == "string":
+                    example[field_name] = f"example_{field_name}"
+                elif field_type == "integer":
+                    example[field_name] = 0
+                elif field_type == "number":
+                    example[field_name] = 0.0
+                elif field_type == "boolean":
+                    example[field_name] = False
+                elif field_type == "array":
+                    example[field_name] = []
+                elif field_type == "object":
+                    example[field_name] = {}
+
+            schema["example"] = example
+
+        return schema