Create validate.py

validate.py

@@ -0,0 +1,70 @@
+from pydantic import BaseModel
+from typing import Optional
+
+class TransactionData(BaseModel):
+    Transaction_Id: str
+    Hit_Seq: int
+    Hit_Id_List: str
+    Origin: str
+    Designation: str
+    Keywords: str
+    Name: str
+    SWIFT_Tag: str
+    Currency: str
+    Entity: str
+    Message: str
+    City: str
+    Country: str
+    State: str
+    Hit_Type: str
+    Record_Matching_String: str
+    WatchList_Match_String: str
+    Payment_Sender_Name: Optional[str] = ""
+    Payment_Reciever_Name: Optional[str] = ""
+    Swift_Message_Type: str
+    Text_Sanction_Data: str
+    Matched_Sanctioned_Entity: str
+    Is_Match: int
+    Red_Flag_Reason: str
+    Risk_Level: str
+    Risk_Score: float
+    Risk_Score_Description: str
+    CDD_Level: str
+    PEP_Status: str
+    Value_Date: str
+    Last_Review_Date: str
+    Next_Review_Date: str
+    Sanction_Description: str
+    Checker_Notes: str
+    Sanction_Context: str
+    Maker_Action: str
+    Customer_ID: int
+    Customer_Type: str
+    Industry: str
+    Transaction_Date_Time: str
+    Transaction_Type: str
+    Transaction_Channel: str
+    Originating_Bank: str
+    Beneficiary_Bank: str
+    Geographic_Origin: str
+    Geographic_Destination: str
+    Match_Score: float
+    Match_Type: str
+    Sanctions_List_Version: str
+    Screening_Date_Time: str
+    Risk_Category: str
+    Risk_Drivers: str
+    Alert_Status: str
+    Investigation_Outcome: str
+    Case_Owner_Analyst: str
+    Escalation_Level: str
+    Escalation_Date: str
+    Regulatory_Reporting_Flags: bool
+    Audit_Trail_Timestamp: str
+    Source_Of_Funds: str
+    Purpose_Of_Transaction: str
+    Beneficial_Owner: str
+    Sanctions_Exposure_History: bool
+
+def validate_input(request: TransactionData):
+    return {"message": "Input is valid."}