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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 | |