README.md

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

block.py

@@ -1,66 +1,21 @@
-import logging
+@flowx_block
+def example_function(request: dict) -> dict:
 
-# Configure logging
+  # Processing logic here...
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
-)
-logger = logging.getLogger(__name__)
-
-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,
+    "meta_info": [
-        "recommended_action": recommended_action,
+      {
-        "description": description,
+        "name": "created_date",
-        "hd_action_reasoncode": hd_action_reasoncode,
+        "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": {
-    "hd_score_m1": {
-      "type": ["number", "null"],
-      "description": "HD Fraud Score M1 value."
-    }
-  },
-  "required": []
-}

requirements.txt

@@ -1 +1 @@
-jmespath == 1.0.1
+{}

response_schema.json

@@ -1,23 +1 @@
-{
+{}
-  "$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": []
-}