PD v2 Post-Processing block

README.md

@@ -1 +1,11 @@
-**Hello world!!!**
+## Overview
+This block (`block.py`) is responsible for assigning grades 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`.
+

block.py

@@ -1,21 +1,32 @@
-@flowx_block
+import logging
-def example_function(request: dict) -> dict:
 
-  # Processing logic here...
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
+)
+logger = logging.getLogger(__name__)
 
-  return {
+def __main__(probability:float):
-    "meta_info": [
+    logger.info("Received input: probability=%.8f", float(probability))
-      {
+    
-        "name": "created_date",
+    if not isinstance(probability, (int, float)):
-        "type": "string",
+        logger.error("Invalid input type: probability=%s", type(probability).__name__)
-        "value": "2024-11-05"
+        raise ValueError("Input probability must be a number (int or float)")
-      }
+    
-    ],
+    if probability <= 0.26:
-    "fields": [
+        grade = "A1"
-      {
+    elif 0.26 < probability <= 0.38:
-        "name": "",
+        grade = "A2"
-        "type": "",
+    elif 0.38 < probability <= 0.52:
-        "value": ""
+        grade =  "B1"
-      }
+    elif 0.52 < probability <= 0.652:
-    ]
+        grade =  "B2"
-  }
+    elif 0.652 < probability <= 0.7:
+        grade =  "C1"
+    else:
+        grade = "C2"
+
+    logger.info(f"PD V2 Grade: {grade}")
+        
+    return {"grade":grade}

request_schema.json

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

requirements.txt

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

response_schema.json

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

test_block.py

@@ -0,0 +1,15 @@
+import unittest
+from block import __main__
+
+class TestBlock(unittest.TestCase):
+
+    def test_main_success(self):
+        result = __main__(probability=0.40)
+        self.assertEqual(result, {"grade": "B1"})
+
+    def test_main_invalid_input(self):
+        with self.assertRaises(ValueError):
+            __main__(probability="0.40")
+
+if __name__ == "__main__":
+    unittest.main()