TestAPI / app /services /panServices /panDataExtractor.py
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Comment out all ocr services to test uidai
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# import re
# def filter_array(arr):
# # Define the regex patterns
# pattern_alphanumeric_special = re.compile(r'[\w]+[^.\s\w]+|[^.\s\w]+[\w]+')
# pattern_numeric = re.compile(r'^[0-9]+$')
# pattern_special_chars = re.compile(r'[^a-zA-Z.\s]+')
# # Filter the array
# filtered_array = [
# item for item in arr
# if not (pattern_alphanumeric_special.search(item) or
# pattern_numeric.match(item) or
# pattern_special_chars.search(item))
# ]
# return filtered_array
# def extract_panData(data):
# unwanted_words = ["Name", "/Name", 'Permanent', 'Account', 'Number', 'Card', 'नाम', '/Name',
# "पिता का नाम", 'नाम / Name', "पिता का नाम/ Father's Name", '414 / Name', 'पिता का नाम / Fath',
# "VIT VE Hra / Father's Nama", 'पिता का नाम/ Fal', 'पिता का नाम / Fathe', "पिता का नाम / Father's Na",
# 'जन्म की तारीख /।', 'जन्म का ताराख', "पिता का नाम/ Father's Nam", 'नाम /Name', "पिता का नाम / Father's Name",
# 'जन्म का वाराज़', 'Date of Birth', 'Permanent Account Number Card', "Date of Birth", "/Date of Birth",
# "Permanent Account Number", "Father's Name", "14 /Name", "/Father's Name", 'HTH / Name',"inent Account Number", "anent Account Number C","Permanent Account Number Car",
# 'ugr Name']
# # Initialize result object
# result = {
# "statusCode": 200,
# "error": '',
# "data": {
# "panNo": '',
# "name": '',
# "fatherName": '',
# "dob": ''
# }
# }
# # Clean the array by removing unwanted words and invalid entries
# cleaned_data = []
# combination_pattern = re.compile(r'(?=.*[0-9])(?=.*[!@#$%^&*(),?":{}|<>])')
# for item in data:
# if item not in unwanted_words and not combination_pattern.search(item):
# cleaned_data.append(item)
# # Check and extract PAN number
# pan_pattern = re.compile(r'^[A-Z]{5}\s*[0-9]{4}\s*[A-Z]$')
# for item in cleaned_data:
# if pan_pattern.match(item):
# result["data"]["panNo"] = item
# cleaned_data.remove(item)
# break
# # Check and extract date of birth
# dob_pattern = re.compile(r'^\d{2}[-/]\d{2}[-/]\d{4}$')
# for item in cleaned_data:
# if dob_pattern.match(item):
# result["data"]["dob"] = item
# cleaned_data.remove(item)
# break
# # If only two values are left, assume they are name and father's name
# cleaned_data = filter_array(cleaned_data)
# if len(cleaned_data) == 2:
# result["data"]["name"] = cleaned_data[0]
# result["data"]["fatherName"] = cleaned_data[1]
# else:
# # Further cleaning of the data array to extract name and father's name
# cleaned_data = [item for item in cleaned_data if not combination_pattern.search(item) and item not in unwanted_words]
# print(cleaned_data, "after cleaning")
# # Check and extract name
# name_pattern = re.compile(r'^[A-Za-z .]+$')
# if len(cleaned_data) > 0 and name_pattern.match(cleaned_data[0]):
# result["data"]["name"] = cleaned_data[0]
# else:
# result["data"]["name"] = ''
# # Check and extract father's name
# if len(cleaned_data) > 1 and name_pattern.match(cleaned_data[1]):
# result["data"]["fatherName"] = cleaned_data[1]
# else:
# result["data"]["fatherName"] = ''
# # Check if any value is empty and set error message
# for key, value in result["data"].items():
# if value == '':
# result["statusCode"] = 400
# result["error"] = f"{key} value is not found due to bad image."
# break
# return result