Final Score block

README.md

@@ -1 +1 @@
-**Hello world!!!**
+Score block

block.py

@@ -1,21 +1,67 @@
-@flowx_block
-def example_function(request: dict) -> dict:
+import logging
+from rules_processing import processing
 
-  # Processing logic here...
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
+)
+logger = logging.getLogger(__name__)
 
-  return {
-    "meta_info": [
-      {
-        "name": "created_date",
-        "type": "string",
-        "value": "2024-11-05"
-      }
-    ],
-    "fields": [
-      {
-        "name": "",
-        "type": "",
-        "value": ""
-      }
-    ]
-  }
+def __main__(
+        hd_score_m1: float
+    ) -> dict:
+    """
+    Computes recommended action based on hd_score_m1 and returns relevant details.
+    """
+
+    score_threshold = 1200
+
+    # Compute recommended_action
+    try:
+        recommended_action = (
+            "Decline Application" 
+            if hd_score_m1 > score_threshold 
+            else "Pass Application"
+        )
+        logging.info(f"recommended_action: {recommended_action}")
+    except Exception as e:
+        logging.error(f"Error assigning recommended_action: {e}")
+        return {}
+
+    # Compute description
+    try:
+        if hd_score_m1 > score_threshold:
+            description = (
+                f"HD Fraud Score M1 is above the risk threshold {score_threshold}, "
+                f"Recommended action: Decline Application"
+            )
+        else:
+            description = (
+                f"HD Fraud Score M1 is below the risk threshold {score_threshold}, "
+                f"Recommended action: Pass Application"
+            )
+        logging.info(f"description: {description}")
+    except Exception as e:
+        logging.error(f"Error assigning description: {e}")
+        return {}
+
+    # Compute action_reasoncode
+    try:
+        # For multiple checks, you might iterate over a dictionary. For now, a single check suffices:
+        if hd_score_m1 > score_threshold:
+            hd_action_reasoncode = "M1 Triggered"
+        else:
+            hd_action_reasoncode = "Pass"
+
+        logging.info(f"action_reasoncode: {hd_action_reasoncode}")
+    except Exception as e:
+        logging.error(f"Error compiling action_reasoncode: {e}")
+        return {}
+
+    return {
+        "hd_score_m1": hd_score_m1,
+        "recommended_action": recommended_action,
+        "description": description,
+        "hd_action_reasoncode": hd_action_reasoncode,
+    }

request_schema.json

@@ -1 +1,11 @@
-{}
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "type": "object",
+  "properties": {
+    "hd_score_m1": {
+      "type": ["number", "null"],
+      "description": "HD Fraud Score M1 value."
+    }
+  },
+  "required": []
+}

response_schema.json

@@ -1 +1,23 @@
-{}
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "type": "object",
+  "properties": {
+    "hd_score_m1": {
+      "type": ["number", "null"],
+      "description": "HD Fraud Score M1"
+    },
+    "recommended_action": {
+      "type": ["string", "null"],
+      "description": "Outcome of the score check (Pass or Decline)"
+    },
+    "description": {
+      "type": ["string", "null"],
+      "description": "Explanation or summary of the recommended action"
+    },
+    "hd_action_reasoncode": {
+      "type": ["string", "null"],
+      "description": "Reason code describing why the recommended action was chosen"
+    }
+  },
+  "required": []
+}