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import datetime
def extract_details(texts):
details = {'name': '', 'gender': '', 'dob': '', 'aadhaarNo': ''}
current_year = datetime.datetime.now().year
for text in texts:
# Check if colon exists in text and split accordingly
if ':' in text:
text = text.split(':')[1].strip()
cleaned_text = text.replace(':', '').strip()
# Remove leading non-alphabetic characters for gender detection and strip spaces
cleaned_gender = cleaned_text.lstrip('.-/').strip()
# Check if the text is the name (only alphabets, spaces, and possibly dots)
if (all(char.isalpha() or char.isspace() or char == '.' for char in cleaned_text)
and cleaned_gender.lower() not in ['male', 'female']):
details['name'] = cleaned_text
# Check if the text is the DOB (format: dd/mm/yyyy or yyyy)
elif (len(cleaned_text) == 4 and
cleaned_text.isdigit() and
1900 < int(cleaned_text) < current_year):
details['dob'] = cleaned_text
# Check if the text is the DOB (format: dd/mm/yyyy or dd-mm-yyyy)
elif (len(cleaned_text) == 10 and
(cleaned_text[2] in ['/', '-']) and
(cleaned_text[5] in ['/', '-']) and
cleaned_text.replace('/', '').replace('-', '').isdigit()):
details['dob'] = cleaned_text
# Check if the text is the gender (either 'Male' or 'Female')
elif cleaned_gender.lower() in ['male', 'female']:
details['gender'] = cleaned_gender.capitalize()
# Check if the text is the Aadhaar number (12 digits after removing spaces)
elif cleaned_text.replace(' ', '').isdigit() and len(cleaned_text.replace(' ', '')) == 12:
details['aadhaarNo'] = cleaned_text
# Check if any key's value is empty
if any(value == '' for value in details.values()):
error_key = next(key for key, value in details.items() if value == '')
result = {
'statusCode': 400,
'result': details,
'error': f'{error_key} value is not found due to bad image.'
}
else:
result = {
'statusCode': 200,
'result': details,
'error': ''
}
return result
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