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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
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