README.md

@@ -1 +1 @@
-# Block for assigning a composite score
+**Hello world!!!**

block.py

@@ -1,37 +1,21 @@
-import logging
-from score_processing import processing
+@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__(
-        hd_score_m1: float,
-        hd_score_g1: float,
-        hd_score_s1: float,
-        hd_score_s2: float,
-        hd_score_s3: float,
-        hd_score_iso_m2: float,
-        hd_score_g2: float
-    ) -> dict:
-
-    data = {
-        "hd_score_m1": hd_score_m1,
-        "hd_score_g1": hd_score_g1,
-        "hd_score_s1": hd_score_s1,
-        "hd_score_s2": hd_score_s2,
-        "hd_score_s3": hd_score_s3,
-        "hd_score_iso_m2": hd_score_iso_m2,
-        "hd_score_g2": hd_score_g2
-    }
-
-    final = processing(data)
-    logger.info(f"Scores of application: {final}")
-
-    return final
-
-# testing :
-# __main__
+  return {
+    "meta_info": [
+      {
+        "name": "created_date",
+        "type": "string",
+        "value": "2024-11-05"
+      }
+    ],
+    "fields": [
+      {
+        "name": "",
+        "type": "",
+        "value": ""
+      }
+    ]
+  }

request_schema.json

@@ -1,35 +1 @@
-{
-  "$schema": "http://json-schema.org/draft-07/schema#",
-  "type": "object",
-  "properties": {
-    "hd_score_m1": {
-      "type": ["number", "null"],
-      "description": "HD Fraud Score M1"
-    },
-    "hd_score_g1": {
-      "type": ["number", "null"],
-      "description": "HD Fraud Score G1"
-    },
-    "hd_score_g2": {
-      "type": ["number", "null"],
-      "description": "HD Fraud Score G1"
-    },
-    "hd_score_s1": {
-      "type": ["number", "null"],
-      "description": "HD Fraud Score S1"
-    },
-    "hd_score_s2": {
-      "type": ["number", "null"],
-      "description": "HD Fraud Score S2"
-    },
-    "hd_score_s3": {
-      "type": ["number", "null"],
-      "description": "HD Fraud Score S3"
-    },
-    "hd_score_iso_m2": {
-      "type": ["number", "null"],
-      "description": "HD Fraud Score M2"
-    }
-  },
-  "required": []
-}
+{}

requirements.txt

@@ -1 +1 @@
-
+{}

response_schema.json

@@ -1,25 +1 @@
-{
-  "$schema": "http://json-schema.org/draft-07/schema#",
-  "type": "object",
-  "properties": {
-    "hd_score": {
-      "type": ["number", "null"],
-      "description": "HD fraud Score"
-    },
-    "recommended_action": {
-      "type": ["string", "null"],
-      "description": "Recommended Action"
-    },
-    "description": {
-      "type": ["string", "null"],
-      "description": "Description of Recommended Action"
-    },
-    "hd_action_reasoncode": {
-      "type": ["string", "null"],
-      "description": "HD Action Reasoncode"
-    }
-  }
-}
-
-
-
+{}

score_processing.py

@@ -1,102 +0,0 @@
-import logging
-
-# Configure logging
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
-)
-logger = logging.getLogger(__name__)
-
-
-def processing(data: dict) -> dict:
-    score_threshold = 1200
-    score_threshold2 = 1225
-
-    # ---- Compute hd_score based on hierarchy ----
-    try:
-        reason_hierarchy = [
-            ("hd_score_s1", "S1 Triggered", score_threshold, True),
-            ("hd_score_s2", "S2 Triggered", score_threshold, True),
-            ("hd_score_g1", "G1 Triggered", score_threshold, True),
-            ("hd_score_s3", "S3 Triggered", score_threshold, True),
-            ("hd_score_m1", "M1 Triggered", score_threshold, True),
-            ("hd_score_iso_m2", "M2 Triggered", score_threshold2, False),
-            ("hd_score_g2", "G2 Triggered", score_threshold2, False),
-        ]
-
-        winning_score = None
-        winning_reason = "Pass"
-        winning_threshold = None
-
-        for key, reason, threshold, use_gt in reason_hierarchy:
-            score = data.get(key)
-            if score is None:
-                continue
-            passes = (score > threshold) if use_gt else (score >= threshold)
-            if passes:
-                winning_score = score
-                winning_reason = reason
-                winning_threshold = threshold
-                break
-
-        if winning_score is None:
-            winning_score = max([
-                data.get("hd_score_s1", 0),
-                data.get("hd_score_s2", 0),
-                data.get("hd_score_g1", 0),
-                data.get("hd_score_s3", 0),
-                data.get("hd_score_m1", 0),
-                data.get("hd_score_iso_m2", 0),
-                data.get("hd_score_g2", 0),
-            ])
-            winning_reason = "Pass"
-
-        hd_score = winning_score
-
-    except Exception as e:
-        logging.error(f"Error calculating hd_score values: {e}")
-        return {}
-
-    # ---- recommended_action ----
-    try:
-        if winning_reason != "Pass":
-            recommended_action = "Decline Application"
-        else:
-            recommended_action = "Pass Application"
-
-        logging.info(f"recommended_action: {recommended_action}")
-
-    except Exception as e:
-        logging.error(f"Error assigning recommended_action: {e}")
-        return {}
-
-    # ---- description ----
-    try:
-        if winning_reason != "Pass":
-            threshold_used = winning_threshold if winning_threshold is not None else score_threshold
-            description = (
-                f"HD Fraud Score is above the risk threshold {threshold_used}, "
-                f"Recommended action: Decline Application"
-            )
-        else:
-            description = (
-                "HD Fraud Score is below the risk threshold, Recommended action: Pass Application"
-            )
-
-        logging.info(f"description: {description}")
-
-    except Exception as e:
-        logging.error(f"Error creating description: {e}")
-        return {}
-
-    # ---- hd_action_reasoncode ----
-    hd_action_reasoncode = winning_reason
-    logging.info(f"hd_action_reasoncode: {hd_action_reasoncode}")
-
-    # ---- Return only original 4 fields ----
-    return {
-        "hd_score": hd_score,
-        "recommended_action": recommended_action,
-        "description": description,
-        "hd_action_reasoncode": hd_action_reasoncode,
-    }

test_block.py

@@ -1,17 +0,0 @@
-import unittest
-from block import __main__
-
-data = {'hd_score_m1': 1173.0, 'hd_score_g1': 1203.0, 'hd_score_s1': 1240.0, 'hd_score_s2': 0, 'hd_score_s3': 0, 'hd_score_iso_m2': 1001.0, 'hd_score_g2': 0.0}
-
-class TestBlock(unittest.TestCase):
-    def test_main_success(self):
-        # blockResult = main(data)
-        blockResult = __main__(**data) 
-
-        # breakpoint()
-        self.assertIsInstance(blockResult, dict, "Result should be a dictionary.")
-        self.assertIn("hd_score", blockResult, "Result dictionary should contain 'hd_score' if success.")
-
-
-if __name__ == "__main__":
-    unittest.main()