Create test.py

test.py

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+import requests
+import json
+
+# Replace this with your actual LogReg API endpoint
+API_URL = "https://point9-ml-tfidf-logreg-project.hf.space/predict"
+
+sample_payload = {
+    "transaction_data": {
+        "Transaction_Id": "TXN12345",
+        "Hit_Seq": 1,
+        "Hit_Id_List": "HIT789",
+        "Origin": "India",
+        "Designation": "Manager",
+        "Keywords": "fraud",
+        "Name": "John Doe",
+        "SWIFT_Tag": "TAG001",
+        "Currency": "INR",
+        "Entity": "ABC Ltd",
+        "Message": "Payment for services",
+        "City": "Hyderabad",
+        "Country": "India",
+        "State": "Telangana",
+        "Hit_Type": "Individual",
+        "Record_Matching_String": "John Doe",
+        "WatchList_Match_String": "Doe, John",
+        "Payment_Sender_Name": "John Doe",
+        "Payment_Reciever_Name": "Jane Smith",
+        "Swift_Message_Type": "MT103",
+        "Text_Sanction_Data": "Suspicious transfer to offshore account",
+        "Matched_Sanctioned_Entity": "John Doe",
+        "Is_Match": 1,
+        "Red_Flag_Reason": "High value transaction",
+        "Risk_Level": "High",
+        "Risk_Score": 87.5,
+        "Risk_Score_Description": "Very High",
+        "CDD_Level": "Enhanced",
+        "PEP_Status": "Yes",
+        "Value_Date": "2023-01-01",
+        "Last_Review_Date": "2023-06-01",
+        "Next_Review_Date": "2024-06-01",
+        "Sanction_Description": "OFAC List",
+        "Checker_Notes": "Urgent check required",
+        "Sanction_Context": "Payment matched with OFAC entry",
+        "Maker_Action": "Escalate",
+        "Customer_ID": 1001,
+        "Customer_Type": "Corporate",
+        "Industry": "Finance",
+        "Transaction_Date_Time": "2023-12-15T10:00:00",
+        "Transaction_Type": "Credit",
+        "Transaction_Channel": "Online",
+        "Originating_Bank": "ABC Bank",
+        "Beneficiary_Bank": "XYZ Bank",
+        "Geographic_Origin": "India",
+        "Geographic_Destination": "USA",
+        "Match_Score": 96.2,
+        "Match_Type": "Exact",
+        "Sanctions_List_Version": "2023-V5",
+        "Screening_Date_Time": "2023-12-15T09:55:00",
+        "Risk_Category": "Sanctions",
+        "Risk_Drivers": "PEP, High Value",
+        "Alert_Status": "Open",
+        "Investigation_Outcome": "Pending",
+        "Case_Owner_Analyst": "analyst1",
+        "Escalation_Level": "L2",
+        "Escalation_Date": "2023-12-16",
+        "Regulatory_Reporting_Flags": True,
+        "Audit_Trail_Timestamp": "2023-12-15T10:05:00",
+        "Source_Of_Funds": "Corporate Account",
+        "Purpose_Of_Transaction": "Service Payment",
+        "Beneficial_Owner": "John Doe",
+        "Sanctions_Exposure_History": False
+    }
+}
+
+headers = {"Content-Type": "application/json"}
+
+response = requests.post(API_URL, headers=headers, data=json.dumps(sample_payload))
+
+print("Status Code:", response.status_code)
+try:
+    print("Response:", json.dumps(response.json(), indent=2))
+except Exception as e:
+    print("Error parsing response:", e)
+    print("Raw Response:", response.text)