README.md

@@ -1,11 +1 @@
-## Overview
-This block (`block.py`) is responsible for assigning grade for the passed in probability.
-
-## Key Inputs & Outputs
-- **Request**: Refer to `request_schema.json` for detailed input fields and validation rules.  
-- **Response**: Refer to `response_schema.json` for the returned structure and data types.
-
-## Implementation Details
-- All core logic resides in `block.py` within the `__main__` function.
-- Example usage and validation are demonstrated in `test_block.py`.
-
+**Hello world!!!**

block.py

@@ -1,33 +1,21 @@
-import logging
+@flowx_block
+def example_function(request: dict) -> dict:
 
-# Configure logging
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
-)
-logger = logging.getLogger(__name__)
+  # Processing logic here...
 
-def __main__(probability: float) -> dict:
-    logger.info("Received input: probability=%.8f", float(probability))
-    
-    if not isinstance(probability, (int, float)):
-        logger.error("Invalid input type: probability=%s", type(probability).__name__)
-        raise ValueError("Input probability must be a number (int or float)")
-    
-    if probability <= 0.33:
-        grade = "G1"
-    elif 0.33 < probability <= 0.41:
-        grade = "G2"
-    elif 0.41 < probability <= 0.48:
-        grade = "G3"
-    elif 0.48 < probability <= 0.61:
-        grade = "G4"
-    elif 0.61 < probability <= 0.65:
-        grade = "G5"
-    else:
-        grade = "G6"
-        
-    result = {"grade": grade}
-
-    logger.info("Fraud V1 Grade: %s", result)
-    return  result
+  return {
+    "meta_info": [
+      {
+        "name": "created_date",
+        "type": "string",
+        "value": "2024-11-05"
+      }
+    ],
+    "fields": [
+      {
+        "name": "",
+        "type": "",
+        "value": ""
+      }
+    ]
+  }

request_schema.json

@@ -1,11 +1 @@
-{
-  "$schema": "http://json-schema.org/draft-07/schema#",
-  "type": "object",
-  "properties": {
-    "probability": {
-      "type": "number",
-      "description": "Fraud Model predicted score."
-    }
-  },
-  "required": []
-}
+{}

requirements.txt

@@ -1 +1 @@
-jsonschema==4.23.0
+{}

response_schema.json

@@ -1,10 +1 @@
-{
-  "$schema": "http://json-schema.org/draft-07/schema#",
-  "type": "object",
-  "properties": {
-    "grade": {
-      "type": "string",
-      "description": "PD v2 grade."
-    }
-  }
-}
+{}

test_block.py

@@ -1,15 +0,0 @@
-import unittest
-from block import __main__
-
-class TestBlock(unittest.TestCase):
-
-    def test_main_success(self):
-        result = __main__(probability=0.3890174329280853)
-        self.assertEqual(result, {"grade": "G2"})
-
-    def test_main_invalid_input(self):
-        with self.assertRaises(ValueError):
-            __main__(probability="0.40")  # Invalid input type (string)
-
-if __name__ == "__main__":
-    unittest.main()