utils.py

from paddleocr import PaddleOCR
import re

# Initialize OCR for English (safe default for Aadhaar and PAN)
ocr = PaddleOCR(use_angle_cls=True, lang='en')

def extract_kyc_fields(file_path):
    try:
        # Run OCR
        result = ocr.ocr(file_path, cls=True)

        # Extract lines from result
        lines = []
        for block in result:
            for line in block:
                text = line[1][0].strip()
                if text:
                    lines.append(text)

        # Combine for pattern searches
        full_text = "\n".join(lines)

        # Detect document type
        pan_match = re.search(r'\b[A-Z]{5}[0-9]{4}[A-Z]\b', full_text)
        aadhaar_match = re.search(r'\b\d{4}[\s\-]?\d{4}[\s\-]?\d{4}\b', full_text)

        card_type = "UNKNOWN"
        if pan_match:
            card_type = "PAN"
        elif aadhaar_match:
            card_type = "AADHAAR"

        response = {"card_type": card_type}

        # ===================== PAN CARD LOGIC =====================
        if card_type == "PAN":
            response["pan_number"] = pan_match.group(0)

            # DOB
            dob = "Not found"
            for line in lines:
                match = re.search(r'\d{2}[/-]\d{2}[/-]\d{4}', line)
                if match:
                    dob = match.group(0)
                    break
            response["dob"] = dob

            # Name
            name = "Not found"
            for i in range(len(lines)):
                if "INCOME TAX DEPARTMENT" in lines[i].upper():
                    for j in range(i+1, len(lines)):
                        possible = lines[j].strip()
                        if (
                            re.match(r'^[A-Z\s.]+$', possible)
                            and not any(x in possible for x in ["INDIA", "DEPARTMENT", "GOVT"])
                            and not re.search(r'\d', possible)
                        ):
                            name = possible.strip()
                            break
                    break
            response["name"] = name

        # ===================== AADHAAR CARD LOGIC =====================
        elif card_type == "AADHAAR":
            response["aadhaar_number"] = aadhaar_match.group(0)

            # DOB
            dob = "Not found"
            for line in lines:
                match = re.search(r'\d{2}[/-]\d{2}[/-]\d{4}', line)
                if match:
                    dob = match.group(0)
                    break
            response["dob"] = dob

            # Gender
            gender = "Not found"
            for line in lines:
                if "MALE" in line.upper():
                    gender = "MALE"
                    break
                elif "FEMALE" in line.upper():
                    gender = "FEMALE"
                    break
                elif "TRANSGENDER" in line.upper():
                    gender = "TRANSGENDER"
                    break
            response["gender"] = gender

            # Name – try before DOB or other heuristics
            name = "Not found"
            for i, line in enumerate(lines):
                if re.search(r'\d{2}[/-]\d{2}[/-]\d{4}', line) and i > 0:
                    possible_name = lines[i - 1].strip()
                    if (
                        not any(x in possible_name.upper() for x in ["GOVERNMENT", "INDIA", "DOB", "MALE", "FEMALE"])
                        and not re.search(r'\d', possible_name)
                        and len(possible_name.split()) >= 2
                    ):
                        name = possible_name
                        break

            # Fallback if above fails
            if name == "Not found":
                for line in lines:
                    if (
                        not re.search(r'\d', line)
                        and len(line.split()) >= 2
                        and not any(x in line.upper() for x in ["GOVERNMENT", "INDIA", "DOB", "MALE", "FEMALE"])
                    ):
                        name = line.strip()
                        break

            response["name"] = name

        # ===================== UNKNOWN DOC =====================
        else:
            response["error"] = "Could not detect document type (PAN or Aadhaar)."

        return response

    except Exception as e:
        return {"error": f"OCR processing failed: {str(e)}"}