vickytechkey
4e1ea0fcf2
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563 lines
24 KiB
Python
563 lines
24 KiB
Python
import logging
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import re
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import time
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from difflib import SequenceMatcher
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from rest_framework import status
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from rest_framework.response import Response
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from rest_framework.views import APIView
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# Import engine and vendors to ensure default registration
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import verifier.vendors # noqa: F401
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from verifier.engine import engine, registry
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from .models import VerificationTransaction, VendorAttemptLog, PANDetails
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from .serializers import (
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VerifyDocumentRequestSerializer,
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VerifySellerPanGstRequestSerializer,
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VerificationTransactionSerializer,
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)
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logger = logging.getLogger(__name__)
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def normalize_name(name: str) -> str:
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"""Normalizes names by stripping honorifics, titles, special characters, and excess whitespace."""
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if not name:
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return ""
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name = name.upper().strip()
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for p in [r"\bMR\.?\b", r"\bMRS\.?\b", r"\bMS\.?\b", r"\bSHRI\b", r"\bSMT\.?\b", r"\bDR\.?\b", r"\bM/S\b"]:
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name = re.sub(p, "", name, flags=re.IGNORECASE)
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name = re.sub(r"[^A-Z\s]", " ", name)
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return " ".join(name.split())
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def compare_names(name1: str, name2: str) -> dict:
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"""
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Intelligent name matching for Indian KYC.
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Matches exact, permuted, initials, and fuzzy token sets while rejecting different first names with common surnames.
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"""
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norm1, norm2 = normalize_name(name1), normalize_name(name2)
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if not norm1 or not norm2:
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return {"matched": False, "score": 0.0, "reason": "Missing or empty name"}
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if norm1 == norm2:
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return {"matched": True, "score": 100.0, "reason": "Exact name match"}
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# Strict 100% match requirement: names must match 100%
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# If spaces/delimiters differ, e.g. "VIGNESHKRISHNASAMY" vs "VIGNESH KRISHNASAMY"
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if "".join(norm1.split()) == "".join(norm2.split()):
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return {"matched": True, "score": 100.0, "reason": "Exact name match (case & whitespace insensitive)"}
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# Any non-100% similarity is rejected as name mismatch
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words1, words2 = norm1.split(), norm2.split()
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sort_ratio = SequenceMatcher(None, " ".join(sorted(words1)), " ".join(sorted(words2))).ratio() * 100
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seq_ratio = SequenceMatcher(None, norm1, norm2).ratio() * 100
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sim_score = round(max(sort_ratio, seq_ratio), 1)
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return {
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"matched": False,
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"score": sim_score,
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"reason": f"Name match score is {sim_score}%. Strict 100% match is required.",
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}
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def mask_sensitive_payload(payload: dict) -> dict:
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"""Mask sensitive inputs like full aadhaar numbers or passwords for audit safety."""
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masked = dict(payload)
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sensitive_keys = ["aadhaar_number", "aadhaar", "otp", "password", "client_secret"]
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for key in sensitive_keys:
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if key in masked and isinstance(masked[key], str):
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val = masked[key]
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if len(val) > 4:
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masked[key] = f"{val[:2]}****{val[-2:]}"
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else:
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masked[key] = "****"
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return masked
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class DocumentVerifyView(APIView):
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"""
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POST /api/verify/
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Verifies a document using the vendor waterfall failover engine.
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If the first vendor encounters an error/failure, the engine automatically
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cascades to the next available vendor.
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"""
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def post(self, request, *args, **kwargs):
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serializer = VerifyDocumentRequestSerializer(data=request.data)
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if not serializer.is_valid():
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return Response(
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{"is_success": False, "errors": serializer.errors},
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status=status.HTTP_400_BAD_REQUEST,
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)
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doc_type = serializer.validated_data["document_type"]
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input_data = serializer.validated_data["data"]
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preferred_vendor = serializer.validated_data.get("preferred_vendor")
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files = request.FILES if hasattr(request, "FILES") else None
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# Execute waterfall verification
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engine_result = engine.verify(
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document_type=doc_type,
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data=input_data,
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files=files,
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preferred_vendor=preferred_vendor,
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)
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# Persist transaction and audit attempts in DB
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safe_input = mask_sensitive_payload(input_data)
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transaction = VerificationTransaction.objects.create(
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document_type=doc_type,
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status=engine_result.status.value,
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successful_vendor=engine_result.successful_vendor,
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input_payload=safe_input,
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final_data=engine_result.data if engine_result.is_success else {},
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attempts_count=len(engine_result.attempts),
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total_latency_ms=engine_result.total_latency_ms,
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)
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# Persist attempt logs
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for attempt in engine_result.attempts:
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VendorAttemptLog.objects.create(
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transaction=transaction,
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attempt_number=attempt.get("attempt_number", 1),
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vendor_name=attempt.get("vendor_name", "unknown"),
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status=attempt.get("status", "UNKNOWN"),
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is_success=attempt.get("is_success", False),
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data=attempt.get("data", {}),
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raw_response=attempt.get("raw_response"),
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error_code=attempt.get("error_code"),
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error_message=attempt.get("error_message"),
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latency_ms=attempt.get("latency_ms", 0.0),
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)
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response_payload = {
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"reference_id": str(transaction.reference_id),
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"is_success": engine_result.is_success,
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"status": engine_result.status.value,
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"document_type": doc_type,
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"successful_vendor": engine_result.successful_vendor,
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"data": engine_result.data,
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"attempts_count": len(engine_result.attempts),
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"attempts": engine_result.attempts,
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"error_message": engine_result.error_message,
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"total_latency_ms": round(engine_result.total_latency_ms, 2),
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}
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# Store complete client response payload in database record
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transaction.response_payload = response_payload
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transaction.save(update_fields=["response_payload"])
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# If pan or pan_detailed was verified, persist directly to pan_details table
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if doc_type in ["pan", "pan_detailed"] and engine_result.is_success and engine_result.data:
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try:
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p_data = engine_result.data.get("pan_details") or engine_result.data
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addr = p_data.get("address_data") or {}
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PANDetails.objects.create(
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transaction=transaction,
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document_type=str(p_data.get("document_type") or "PAN"),
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document_id=str(p_data.get("document_id") or p_data.get("pan_number") or ""),
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name=str(p_data.get("name") or p_data.get("full_name") or ""),
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first_name=p_data.get("first_name"),
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last_name=p_data.get("last_name"),
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category=p_data.get("category"),
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date_of_birth=str(p_data.get("date_of_birth") or p_data.get("dob") or ""),
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gender=p_data.get("gender"),
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masked_aadhaar_number=p_data.get("masked_aadhaar_number"),
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aadhaar_linked=bool(p_data.get("aadhaar_linked") or p_data.get("aadhaar_seeding_status") == "LINKED"),
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taxpayer_profile=bool(p_data.get("taxpayer_profile")),
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email=p_data.get("email"),
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phone=p_data.get("phone"),
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address_line_1=addr.get("line_1"),
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street=addr.get("street"),
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city=addr.get("city"),
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state=addr.get("state"),
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pincode=addr.get("pincode"),
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address_data=addr,
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request_id=p_data.get("request_id") or engine_result.data.get("request_id"),
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vendor_txn_id=p_data.get("transaction_id") or engine_result.data.get("transaction_id"),
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full_response=engine_result.data,
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)
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except Exception as pan_err:
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logger.error("Failed to store PAN record in pan_details table: %s", pan_err)
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http_status = status.HTTP_200_OK if engine_result.is_success else status.HTTP_422_UNPROCESSABLE_ENTITY
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return Response(response_payload, status=http_status)
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class SellerPanGstVerifyView(APIView):
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"""
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POST /api/verify/seller/
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Composite verification endpoint for seller onboarding:
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1. Verifies the seller's PAN against government / vendor records.
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2. Validates that the seller's entered full name matches the verified PAN cardholder name.
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3. Fetches all active GST registrations linked to that PAN.
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4. Automatically persists the full verification transaction and vendor attempt logs in the database.
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"""
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def post(self, request, *args, **kwargs):
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serializer = VerifySellerPanGstRequestSerializer(data=request.data)
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if not serializer.is_valid():
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return Response(
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{"is_success": False, "errors": serializer.errors},
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status=status.HTTP_400_BAD_REQUEST,
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)
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seller_name = serializer.validated_data["seller_name"].strip()
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pan = serializer.validated_data["pan"].strip().upper()
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entered_gstin = (serializer.validated_data.get("gstin") or "").strip().upper()
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preferred_vendor = serializer.validated_data.get("preferred_vendor")
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start_time = time.time()
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# Step 1: Verify PAN via waterfall engine using pan_detailed API
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pan_result = engine.verify(
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document_type="pan_detailed",
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data={"pan_number": pan, "pan": pan},
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preferred_vendor=preferred_vendor,
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)
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all_attempts = list(pan_result.attempts)
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# Fallback to standard PAN if detailed PAN fails or is not enabled for vendor
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if not pan_result.is_success:
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logger.info("Detailed PAN lookup not successful, attempting standard PAN verification...")
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pan_basic_result = engine.verify(
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document_type="pan",
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data={"pan": pan, "pan_number": pan},
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preferred_vendor=preferred_vendor,
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)
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for att in pan_basic_result.attempts:
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att["attempt_number"] = len(all_attempts) + 1
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all_attempts.append(att)
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if pan_basic_result.is_success:
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pan_result = pan_basic_result
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if not pan_result.is_success:
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total_latency = (time.time() - start_time) * 1000
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tx = VerificationTransaction.objects.create(
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document_type="SELLER_PAN_GST",
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status="FAILED",
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successful_vendor=None,
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input_payload={"seller_name": seller_name, "pan": pan, "gstin": entered_gstin},
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final_data={},
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attempts_count=len(all_attempts),
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total_latency_ms=total_latency,
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)
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for att in all_attempts:
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VendorAttemptLog.objects.create(
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transaction=tx,
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attempt_number=att.get("attempt_number", 1),
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vendor_name=att.get("vendor_name", "unknown"),
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status=att.get("status", "UNKNOWN"),
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is_success=att.get("is_success", False),
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data=att.get("data", {}),
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raw_response=att.get("raw_response"),
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error_code=att.get("error_code"),
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error_message=att.get("error_message"),
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latency_ms=att.get("latency_ms", 0.0),
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)
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res_payload = {
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"reference_id": str(tx.reference_id),
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"is_success": False,
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"status": "FAILED",
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"document_type": "SELLER_PAN_GST",
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"error_message": f"PAN verification failed: {pan_result.error_message}",
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"name_matched": False,
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"gst_records": [],
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"attempts": all_attempts,
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"total_latency_ms": round(total_latency, 2),
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}
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tx.response_payload = res_payload
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tx.save(update_fields=["response_payload"])
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return Response(res_payload, status=status.HTTP_422_UNPROCESSABLE_ENTITY)
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# PAN is valid, extract verified name and detailed attributes
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pan_data = pan_result.data or {}
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verified_pan_name = (
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pan_data.get("name")
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or pan_data.get("full_name")
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or pan_data.get("name_on_card")
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or ""
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)
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# Step 2: Compare seller name with verified PAN cardholder name
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match_result = compare_names(seller_name, verified_pan_name)
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# Step 3: Pull GST linked with the PAN from PAN number
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gst_result = engine.verify(
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document_type="fetch_gst",
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data={"pan": pan},
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preferred_vendor=preferred_vendor,
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)
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for att in gst_result.attempts:
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att["attempt_number"] = len(all_attempts) + 1
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all_attempts.append(att)
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gst_records = []
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if gst_result.is_success and gst_result.data:
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gst_records = gst_result.data.get("results") or gst_result.data.get("gstins") or []
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# Find active GSTINs
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active_gstins = [
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(g.get("document_id") or g.get("gstin"))
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for g in gst_records
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if isinstance(g, dict) and g.get("status", "").lower() in ["active", "valid"]
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]
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primary_gstin = active_gstins[0] if active_gstins else (
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(gst_records[0].get("document_id") or gst_records[0].get("gstin")) if gst_records and isinstance(gst_records[0], dict) else None
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)
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target_gstin = entered_gstin or primary_gstin or ""
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gstin_matched = False
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gst_details = {}
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verified_gst_name = ""
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gst_name_match = {"matched": True, "score": 100.0, "reason": "No GST provided"}
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gst_error = None
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if target_gstin:
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# Check if entered GSTIN exists in fetched GST records for this PAN
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matching_gst_record = None
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for g in gst_records:
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if isinstance(g, dict):
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doc_id = (g.get("document_id") or g.get("gstin") or "").upper()
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if doc_id == target_gstin:
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matching_gst_record = g
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gstin_matched = True
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break
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# Validate that 15-character GSTIN contains the 10-character PAN at chars 3-12
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if len(target_gstin) == 15 and target_gstin[2:12].upper() != pan.upper():
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gstin_matched = False
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gst_error = f"GSTIN '{target_gstin}' does not match the provided PAN card '{pan}'."
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# Check if matching record has legal_name
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if matching_gst_record and matching_gst_record.get("legal_name"):
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verified_gst_name = matching_gst_record.get("legal_name")
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gst_details = matching_gst_record
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else:
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# Call gst_verify to get legal_name and active status
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try:
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gst_verify_result = engine.verify(
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document_type="gst_verify",
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data={"gst_number": target_gstin},
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preferred_vendor=preferred_vendor,
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)
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for att in gst_verify_result.attempts:
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att["attempt_number"] = len(all_attempts) + 1
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all_attempts.append(att)
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if gst_verify_result.is_success and gst_verify_result.data:
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gst_details = gst_verify_result.data.get("gst_details") or gst_verify_result.data
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verified_gst_name = (
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gst_verify_result.data.get("legal_name")
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or gst_details.get("legalName")
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or gst_details.get("tradeName")
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or ""
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)
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gstin_matched = True
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except Exception as gst_err:
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logger.warning("Optional gst_verify call failed: %s", gst_err)
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# If verified_gst_name wasn't returned by upstream, fallback to matching record or verified_pan_name if PAN matches GSTIN
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if not verified_gst_name and gstin_matched:
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verified_gst_name = verified_pan_name
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# Compare GST legal name against seller full name and verified PAN name
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if verified_gst_name:
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gst_name_match = compare_names(seller_name, verified_gst_name)
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if not gst_name_match["matched"] and verified_pan_name:
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pan_to_gst_match = compare_names(verified_pan_name, verified_gst_name)
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if pan_to_gst_match["matched"]:
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gst_name_match = pan_to_gst_match
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total_latency = (time.time() - start_time) * 1000
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pan_name_matched = bool(match_result.get("matched", False))
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gst_name_matched = bool(gst_name_match.get("matched", False)) if target_gstin else True
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if gst_error:
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overall_success = False
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overall_status = "GSTIN_PAN_MISMATCH"
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error_msg = f"GSTIN Mismatch: {gst_error}"
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elif not pan_name_matched:
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overall_success = False
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overall_status = "NAME_MISMATCH"
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error_msg = f"PAN Name Mismatch: The entered seller name '{seller_name}' does not match"
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elif target_gstin and not gst_name_matched:
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overall_success = False
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overall_status = "GST_NAME_MISMATCH"
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error_msg = f"GST Name Mismatch: The entered seller name '{seller_name}' does not match"
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else:
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overall_success = pan_result.is_success and pan_name_matched
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overall_status = "SUCCESS" if overall_success else "FAILED"
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error_msg = None
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combined_data = {
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"pan_number": pan,
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"verified_pan_name": verified_pan_name,
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"seller_name": seller_name,
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"name_matched": pan_name_matched,
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"pan_name_matched": pan_name_matched,
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"pan_match_score": match_result.get("score", 0.0),
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"pan_match_reason": match_result.get("reason", ""),
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"pan_details": pan_data,
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"gst_number": target_gstin,
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"verified_gst_name": verified_gst_name,
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"gst_name_matched": gst_name_matched,
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"gst_match_score": gst_name_match.get("score", 0.0),
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"gst_match_reason": gst_name_match.get("reason", ""),
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"gst_details": gst_details,
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"gst_records": gst_records,
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"active_gstins": active_gstins,
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"primary_gstin": primary_gstin,
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"entered_gstin": entered_gstin,
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"gstin_matched": gstin_matched,
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"is_seller_verified": overall_success,
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}
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# Step 4: Persist verification transaction & attempt logs in database
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tx = VerificationTransaction.objects.create(
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document_type="SELLER_PAN_GST",
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status=overall_status,
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successful_vendor=pan_result.successful_vendor,
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input_payload={"seller_name": seller_name, "pan": pan, "gstin": entered_gstin},
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final_data=combined_data,
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attempts_count=len(all_attempts),
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total_latency_ms=total_latency,
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)
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for att in all_attempts:
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VendorAttemptLog.objects.create(
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transaction=tx,
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attempt_number=att.get("attempt_number", 1),
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vendor_name=att.get("vendor_name", "unknown"),
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status=att.get("status", "UNKNOWN"),
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is_success=att.get("is_success", False),
|
|
data=att.get("data", {}),
|
|
raw_response=att.get("raw_response"),
|
|
error_code=att.get("error_code"),
|
|
error_message=att.get("error_message"),
|
|
latency_ms=att.get("latency_ms", 0.0),
|
|
)
|
|
|
|
# Step 5: Store full PAN detailed response in dedicated 'pan_details' table for future analysis
|
|
try:
|
|
addr = pan_data.get("address_data") or {}
|
|
PANDetails.objects.create(
|
|
transaction=tx,
|
|
document_type=str(pan_data.get("document_type") or "PAN"),
|
|
document_id=str(pan_data.get("document_id") or pan),
|
|
name=str(pan_data.get("name") or verified_pan_name or seller_name),
|
|
first_name=pan_data.get("first_name"),
|
|
last_name=pan_data.get("last_name"),
|
|
category=pan_data.get("category"),
|
|
date_of_birth=str(pan_data.get("date_of_birth") or pan_data.get("dob") or ""),
|
|
gender=pan_data.get("gender"),
|
|
masked_aadhaar_number=pan_data.get("masked_aadhaar_number"),
|
|
aadhaar_linked=bool(pan_data.get("aadhaar_linked") or pan_data.get("aadhaar_seeding_status") == "LINKED"),
|
|
taxpayer_profile=bool(pan_data.get("taxpayer_profile")),
|
|
email=pan_data.get("email"),
|
|
phone=pan_data.get("phone"),
|
|
address_line_1=addr.get("line_1"),
|
|
street=addr.get("street"),
|
|
city=addr.get("city"),
|
|
state=addr.get("state"),
|
|
pincode=addr.get("pincode"),
|
|
address_data=addr,
|
|
request_id=pan_data.get("request_id"),
|
|
vendor_txn_id=pan_data.get("transaction_id"),
|
|
full_response=pan_data,
|
|
)
|
|
except Exception as db_err:
|
|
logger.error("Failed to store record in pan_details table: %s", db_err)
|
|
|
|
res_payload = {
|
|
"reference_id": str(tx.reference_id),
|
|
"is_success": overall_success,
|
|
"status": overall_status,
|
|
"document_type": "SELLER_PAN_GST",
|
|
"successful_vendor": pan_result.successful_vendor,
|
|
"is_seller_verified": overall_success,
|
|
"data": combined_data,
|
|
"attempts_count": len(all_attempts),
|
|
"attempts": all_attempts,
|
|
"error_message": error_msg,
|
|
"total_latency_ms": round(total_latency, 2),
|
|
}
|
|
|
|
tx.response_payload = res_payload
|
|
tx.save(update_fields=["response_payload"])
|
|
|
|
http_code = status.HTTP_200_OK if overall_success else status.HTTP_422_UNPROCESSABLE_ENTITY
|
|
return Response(res_payload, status=http_code)
|
|
|
|
|
|
class VendorListView(APIView):
|
|
"""
|
|
GET /api/vendors/
|
|
Lists all active verification vendors registered with the engine in priority order.
|
|
"""
|
|
|
|
def get(self, request, *args, **kwargs):
|
|
vendors = registry.get_all_vendors()
|
|
vendor_data = [
|
|
{
|
|
"name": v.name,
|
|
"display_name": getattr(v, "display_name", v.name),
|
|
"priority": v.priority,
|
|
"is_active": v.is_active,
|
|
"supported_documents": v.supported_documents,
|
|
}
|
|
for v in vendors
|
|
]
|
|
return Response({"count": len(vendor_data), "vendors": vendor_data})
|
|
|
|
|
|
class TransactionDetailView(APIView):
|
|
"""
|
|
GET /api/transactions/<uuid:reference_id>/
|
|
Fetch complete audit trail and fallback logs for a transaction.
|
|
"""
|
|
|
|
def get(self, request, reference_id, *args, **kwargs):
|
|
try:
|
|
tx = VerificationTransaction.objects.prefetch_related("attempts").get(reference_id=reference_id)
|
|
except VerificationTransaction.DoesNotExist:
|
|
return Response(
|
|
{"error": f"Transaction '{reference_id}' not found"},
|
|
status=status.HTTP_404_NOT_FOUND,
|
|
)
|
|
|
|
serializer = VerificationTransactionSerializer(tx)
|
|
return Response(serializer.data)
|
|
|
|
|
|
class TransactionListView(APIView):
|
|
"""
|
|
GET /api/transactions/
|
|
Lists recent verification transactions (up to 50) for dashboard/portal monitoring.
|
|
"""
|
|
|
|
def get(self, request, *args, **kwargs):
|
|
limit = min(int(request.query_params.get("limit", 25)), 50)
|
|
txs = VerificationTransaction.objects.prefetch_related("attempts").all()[:limit]
|
|
serializer = VerificationTransactionSerializer(txs, many=True)
|
|
return Response({"count": len(serializer.data), "results": serializer.data})
|
|
|
|
|
|
from django.views.generic import TemplateView
|
|
|
|
|
|
class PortalView(TemplateView):
|
|
"""
|
|
Renders the interactive testing & inspection studio for all verification features.
|
|
"""
|
|
template_name = "verifier/portal.html"
|
|
|
|
def get_context_data(self, **kwargs):
|
|
context = super().get_context_data(**kwargs)
|
|
vendors = registry.get_all_vendors()
|
|
context["vendors"] = vendors
|
|
context["active_vendor_count"] = sum(1 for v in vendors if v.is_active)
|
|
context["recent_transactions"] = VerificationTransaction.objects.prefetch_related("attempts").all()[:10]
|
|
return context
|
|
|