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import spacy
import logging
import json
from utils.fileTotext import extract_text_based_on_format
import re
def is_valid_email(email):
email_regex = r'^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$'
return re.match(email_regex, email) is not None
def is_valid_contact(contact):
patterns = [
r'^\+91[\s\.\-\/]?\(?0?\)?[\s\-\.\/]?\d{5}[\s\-\.\/]?\d{5}$', # +91 with optional 0 and separators
r'^\+91[\s\.\-\/]?\d{5}[\s\-\.\/]?\d{5}$', # +91 with 10 digits separated
r'^\d{5}[\s\-\.\/]?\d{5}$', # Local format without country code
r'^\+91[\s\.\-\/]?\d{10}$', # +91 with 10 digits together
r'^\d{10}$', # 10 digits together
r'^\+91[\s\.\-\/]?\(?\d{5}\)?[\s\-\.\/]?\d{5}[\s\-\.\/]?\d{5}$' # +91 with varying separators
r'\+1\s\(\d{3}\)\s\d{3}-\d{4} ', # USA/Canada Intl +1 (XXX) XXX-XXXX
r'\(\d{3}\)\s\d{3}-\d{4} ', # USA/Canada STD (XXX) XXX-XXXX
r'\(\d{3}\)\s\d{3}\s\d{4} ', # USA/Canada (XXX) XXX XXXX
r'\(\d{3}\)\s\d{3}\s\d{3} ', # USA/Canada (XXX) XXX XXX
r'\+1\d{10} ', # +1 XXXXXXXXXX
r'\d{10} ', # XXXXXXXXXX
r'\+44\s\d{4}\s\d{6} ', # UK Intl +44 XXXX XXXXXX
r'\+44\s\d{3}\s\d{3}\s\d{4} ', # UK Intl +44 XXX XXX XXXX
r'0\d{4}\s\d{6} ', # UK STD 0XXXX XXXXXX
r'0\d{3}\s\d{3}\s\d{4} ', # UK STD 0XXX XXX XXXX
r'\+44\d{10} ', # +44 XXXXXXXXXX
r'0\d{10} ', # 0XXXXXXXXXX
r'\+61\s\d\s\d{4}\s\d{4} ', # Australia Intl +61 X XXXX XXXX
r'0\d\s\d{4}\s\d{4} ', # Australia STD 0X XXXX XXXX
r'\+61\d{9} ', # +61 XXXXXXXXX
r'0\d{9} ', # 0XXXXXXXXX
r'\+91\s\d{5}-\d{5} ', # India Intl +91 XXXXX-XXXXX
r'\+91\s\d{4}-\d{6} ', # India Intl +91 XXXX-XXXXXX
r'\+91\s\d{10} ', # India Intl +91 XXXXXXXXXX
r'0\d{2}-\d{7} ', # India STD 0XX-XXXXXXX
r'\+91\d{10} ', # +91 XXXXXXXXXX
r'\+49\s\d{4}\s\d{8} ', # Germany Intl +49 XXXX XXXXXXXX
r'\+49\s\d{3}\s\d{7} ', # Germany Intl +49 XXX XXXXXXX
r'0\d{3}\s\d{8} ', # Germany STD 0XXX XXXXXXXX
r'\+49\d{12} ', # +49 XXXXXXXXXXXX
r'\+49\d{10} ', # +49 XXXXXXXXXX
r'0\d{11} ', # 0XXXXXXXXXXX
r'\+86\s\d{3}\s\d{4}\s\d{4} ', # China Intl +86 XXX XXXX XXXX
r'0\d{3}\s\d{4}\s\d{4} ', # China STD 0XXX XXXX XXXX
r'\+86\d{11} ', # +86 XXXXXXXXXXX
r'\+81\s\d\s\d{4}\s\d{4} ', # Japan Intl +81 X XXXX XXXX
r'\+81\s\d{2}\s\d{4}\s\d{4} ', # Japan Intl +81 XX XXXX XXXX
r'0\d\s\d{4}\s\d{4} ', # Japan STD 0X XXXX XXXX
r'\+81\d{10} ', # +81 XXXXXXXXXX
r'\+81\d{9} ', # +81 XXXXXXXXX
r'0\d{9} ', # 0XXXXXXXXX
r'\+55\s\d{2}\s\d{5}-\d{4} ', # Brazil Intl +55 XX XXXXX-XXXX
r'\+55\s\d{2}\s\d{4}-\d{4} ', # Brazil Intl +55 XX XXXX-XXXX
r'0\d{2}\s\d{4}\s\d{4} ', # Brazil STD 0XX XXXX XXXX
r'\+55\d{11} ', # +55 XXXXXXXXXXX
r'\+55\d{10} ', # +55 XXXXXXXXXX
r'0\d{10} ', # 0XXXXXXXXXX
r'\+33\s\d\s\d{2}\s\d{2}\s\d{2}\s\d{2} ', # France Intl +33 X XX XX XX XX
r'0\d\s\d{2}\s\d{2}\s\d{2}\s\d{2} ', # France STD 0X XX XX XX XX
r'\+33\d{9} ', # +33 XXXXXXXXX
r'0\d{9} ', # 0XXXXXXXXX
r'\+7\s\d{3}\s\d{3}-\d{2}-\d{2} ', # Russia Intl +7 XXX XXX-XX-XX
r'8\s\d{3}\s\d{3}-\d{2}-\d{2} ', # Russia STD 8 XXX XXX-XX-XX
r'\+7\d{10} ', # +7 XXXXXXXXXX
r'8\d{10} ', # 8 XXXXXXXXXX
r'\+27\s\d{2}\s\d{3}\s\d{4} ', # South Africa Intl +27 XX XXX XXXX
r'0\d{2}\s\d{3}\s\d{4} ', # South Africa STD 0XX XXX XXXX
r'\+27\d{9} ', # +27 XXXXXXXXX
r'0\d{9} ', # 0XXXXXXXXX
r'\+52\s\d{3}\s\d{3}\s\d{4} ', # Mexico Intl +52 XXX XXX XXXX
r'\+52\s\d{2}\s\d{4}\s\d{4} ', # Mexico Intl +52 XX XXXX XXXX
r'01\s\d{3}\s\d{4} ', # Mexico STD 01 XXX XXXX
r'\+52\d{10} ', # +52 XXXXXXXXXX
r'01\d{7} ', # 01 XXXXXXX
r'\+234\s\d{3}\s\d{3}\s\d{4} ', # Nigeria Intl +234 XXX XXX XXXX
r'0\d{3}\s\d{3}\s\d{4} ', # Nigeria STD 0XXX XXX XXXX
r'\+234\d{10} ', # +234 XXXXXXXXXX
r'0\d{10} ', # 0XXXXXXXXXX
r'\+971\s\d\s\d{3}\s\d{4} ', # UAE Intl +971 X XXX XXXX
r'0\d\s\d{3}\s\d{4} ', # UAE STD 0X XXX XXXX
r'\+971\d{8} ', # +971 XXXXXXXX
r'0\d{8} ', # 0XXXXXXXX
r'\+54\s9\s\d{3}\s\d{3}\s\d{4} ', # Argentina Intl +54 9 XXX XXX XXXX
r'\+54\s\d{1}\s\d{4}\s\d{4} ', # Argentina Intl +54 X XXXX XXXX
r'0\d{3}\s\d{4} ', # Argentina STD 0XXX XXXX
r'\+54\d{10} ', # +54 9 XXXXXXXXXX
r'\+54\d{9} ', # +54 XXXXXXXXX
r'0\d{7} ', # 0XXXXXXX
r'\+966\s\d\s\d{3}\s\d{4} ', # Saudi Intl +966 X XXX XXXX
r'0\d\s\d{3}\s\d{4} ', # Saudi STD 0X XXX XXXX
r'\+966\d{8} ', # +966 XXXXXXXX
r'0\d{8} ', # 0XXXXXXXX
r'\+1\d{10} ', # +1 XXXXXXXXXX
r'\+1\s\d{3}\s\d{3}\s\d{4} ', # +1 XXX XXX XXXX
r'\d{5}\s\d{5} ', # XXXXX XXXXX
r'\d{10} ', # XXXXXXXXXX
r'\+44\d{10} ', # +44 XXXXXXXXXX
r'0\d{10} ', # 0XXXXXXXXXX
r'\+61\d{9} ', # +61 XXXXXXXXX
r'0\d{9} ', # 0XXXXXXXXX
r'\+91\d{10} ', # +91 XXXXXXXXXX
r'\+49\d{12} ', # +49 XXXXXXXXXXXX
r'\+49\d{10} ', # +49 XXXXXXXXXX
r'0\d{11} ', # 0XXXXXXXXXXX
r'\+86\d{11} ', # +86 XXXXXXXXXXX
r'\+81\d{10} ', # +81 XXXXXXXXXX
r'\+81\d{9} ', # +81 XXXXXXXXX
r'0\d{9} ', # 0XXXXXXXXX
r'\+55\d{11} ', # +55 XXXXXXXXXXX
r'\+55\d{10} ', # +55 XXXXXXXXXX
r'0\d{10} ', # 0XXXXXXXXXX
r'\+33\d{9} ', # +33 XXXXXXXXX
r'0\d{9} ', # 0XXXXXXXXX
r'\+7\d{10} ', # +7 XXXXXXXXXX
r'8\d{10} ', # 8 XXXXXXXXXX
r'\+27\d{9} ', # +27 XXXXXXXXX
r'0\d{9} ', # 0XXXXXXXXX (South Africa STD)
r'\+52\d{10} ', # +52 XXXXXXXXXX
r'01\d{7} ', # 01 XXXXXXX
r'\+234\d{10} ', # +234 XXXXXXXXXX
r'0\d{10} ', # 0XXXXXXXXXX
r'\+971\d{8} ', # +971 XXXXXXXX
r'0\d{8} ', # 0XXXXXXXX
r'\+54\s9\s\d{10} ', # +54 9 XXXXXXXXXX
r'\+54\d{9} ', # +54 XXXXXXXXX
r'0\d{7} ', # 0XXXXXXX
r'\+966\d{8} ', # +966 XXXXXXXX
r'0\d{8}' # 0XXXXXXXX
]
# Check if the contact matches any of the patterns
return any(re.match(pattern, contact) for pattern in patterns) is not None
# Extracting the Contact Details through Regular Expression
def extract_contact_details(text):
# Regex patterns
# Phone numbers with at least 5 digits in any segment
combined_phone_regex = re.compile(r'''
(?:
#(?:(?:\+91[-.\s]?)?\d{5}[-.\s]?\d{5})|(?:\+?\d{1,3})?[-.\s()]?\d{5,}[-.\s()]?\d{5,}[-.\s()]?\d{1,9} | /^[\.-)( ]*([0-9]{3})[\.-)( ]*([0-9]{3})[\.-)( ]*([0-9]{4})$/ |
\+1\s\(\d{3}\)\s\d{3}-\d{4} | # USA/Canada Intl +1 (XXX) XXX-XXXX
\(\d{3}\)\s\d{3}-\d{4} | # USA/Canada STD (XXX) XXX-XXXX
\(\d{3}\)\s\d{3}\s\d{4} | # USA/Canada (XXX) XXX XXXX
\(\d{3}\)\s\d{3}\s\d{3} | # USA/Canada (XXX) XXX XXX
\+1\d{10} | # +1 XXXXXXXXXX
\d{10} | # XXXXXXXXXX
\+44\s\d{4}\s\d{6} | # UK Intl +44 XXXX XXXXXX
\+44\s\d{3}\s\d{3}\s\d{4} | # UK Intl +44 XXX XXX XXXX
0\d{4}\s\d{6} | # UK STD 0XXXX XXXXXX
0\d{3}\s\d{3}\s\d{4} | # UK STD 0XXX XXX XXXX
\+44\d{10} | # +44 XXXXXXXXXX
0\d{10} | # 0XXXXXXXXXX
\+61\s\d\s\d{4}\s\d{4} | # Australia Intl +61 X XXXX XXXX
0\d\s\d{4}\s\d{4} | # Australia STD 0X XXXX XXXX
\+61\d{9} | # +61 XXXXXXXXX
0\d{9} | # 0XXXXXXXXX
\+91\s\d{5}-\d{5} | # India Intl +91 XXXXX-XXXXX
\+91\s\d{4}-\d{6} | # India Intl +91 XXXX-XXXXXX
\+91\s\d{10} | # India Intl +91 XXXXXXXXXX
\+91\s\d{3}\s\d{3}\s\d{4} | # India Intl +91 XXX XXX XXXX
\+91\s\d{3}-\d{3}-\d{4} | # India Intl +91 XXX-XXX-XXXX
\+91\s\d{2}\s\d{4}\s\d{4} | # India Intl +91 XX XXXX XXXX
\+91\s\d{2}-\d{4}-\d{4} | # India Intl +91 XX-XXXX-XXXX
\+91\s\d{5}\s\d{5} | # India Intl +91 XXXXX XXXXX
\d{5}\s\d{5} | # India XXXXX XXXXX
\d{5}-\d{5} | # India XXXXX-XXXXX
0\d{2}-\d{7} | # India STD 0XX-XXXXXXX
\+91\d{10} | # +91 XXXXXXXXXX
\d{10} | # XXXXXXXXXX # Here is the regex to handle all possible combination of the contact
\d{6}-\d{4} | # XXXXXX-XXXX
\d{4}-\d{6} | # XXXX-XXXXXX
\d{3}\s\d{3}\s\d{4} | # XXX XXX XXXX
\d{3}-\d{3}-\d{4} | # XXX-XXX-XXXX
\d{4}\s\d{3}\s\d{3} | # XXXX XXX XXX
\d{4}-\d{3}-\d{3} | # XXXX-XXX-XXX #-----
\+49\s\d{4}\s\d{8} | # Germany Intl +49 XXXX XXXXXXXX
\+49\s\d{3}\s\d{7} | # Germany Intl +49 XXX XXXXXXX
0\d{3}\s\d{8} | # Germany STD 0XXX XXXXXXXX
\+49\d{12} | # +49 XXXXXXXXXXXX
\+49\d{10} | # +49 XXXXXXXXXX
0\d{11} | # 0XXXXXXXXXXX
\+86\s\d{3}\s\d{4}\s\d{4} | # China Intl +86 XXX XXXX XXXX
0\d{3}\s\d{4}\s\d{4} | # China STD 0XXX XXXX XXXX
\+86\d{11} | # +86 XXXXXXXXXXX
\+81\s\d\s\d{4}\s\d{4} | # Japan Intl +81 X XXXX XXXX
\+81\s\d{2}\s\d{4}\s\d{4} | # Japan Intl +81 XX XXXX XXXX
0\d\s\d{4}\s\d{4} | # Japan STD 0X XXXX XXXX
\+81\d{10} | # +81 XXXXXXXXXX
\+81\d{9} | # +81 XXXXXXXXX
0\d{9} | # 0XXXXXXXXX
\+55\s\d{2}\s\d{5}-\d{4} | # Brazil Intl +55 XX XXXXX-XXXX
\+55\s\d{2}\s\d{4}-\d{4} | # Brazil Intl +55 XX XXXX-XXXX
0\d{2}\s\d{4}\s\d{4} | # Brazil STD 0XX XXXX XXXX
\+55\d{11} | # +55 XXXXXXXXXXX
\+55\d{10} | # +55 XXXXXXXXXX
0\d{10} | # 0XXXXXXXXXX
\+33\s\d\s\d{2}\s\d{2}\s\d{2}\s\d{2} | # France Intl +33 X XX XX XX XX
0\d\s\d{2}\s\d{2}\s\d{2}\s\d{2} | # France STD 0X XX XX XX XX
\+33\d{9} | # +33 XXXXXXXXX
0\d{9} | # 0XXXXXXXXX
\+7\s\d{3}\s\d{3}-\d{2}-\d{2} | # Russia Intl +7 XXX XXX-XX-XX
8\s\d{3}\s\d{3}-\d{2}-\d{2} | # Russia STD 8 XXX XXX-XX-XX
\+7\d{10} | # +7 XXXXXXXXXX
8\d{10} | # 8 XXXXXXXXXX
\+27\s\d{2}\s\d{3}\s\d{4} | # South Africa Intl +27 XX XXX XXXX
0\d{2}\s\d{3}\s\d{4} | # South Africa STD 0XX XXX XXXX
\+27\d{9} | # +27 XXXXXXXXX
0\d{9} | # 0XXXXXXXXX
\+52\s\d{3}\s\d{3}\s\d{4} | # Mexico Intl +52 XXX XXX XXXX
\+52\s\d{2}\s\d{4}\s\d{4} | # Mexico Intl +52 XX XXXX XXXX
01\s\d{3}\s\d{4} | # Mexico STD 01 XXX XXXX
\+52\d{10} | # +52 XXXXXXXXXX
01\d{7} | # 01 XXXXXXX
\+234\s\d{3}\s\d{3}\s\d{4} | # Nigeria Intl +234 XXX XXX XXXX
0\d{3}\s\d{3}\s\d{4} | # Nigeria STD 0XXX XXX XXXX
\+234\d{10} | # +234 XXXXXXXXXX
0\d{10} | # 0XXXXXXXXXX
\+971\s\d\s\d{3}\s\d{4} | # UAE Intl +971 X XXX XXXX
0\d\s\d{3}\s\d{4} | # UAE STD 0X XXX XXXX
\+971\d{8} | # +971 XXXXXXXX
0\d{8} | # 0XXXXXXXX
\+54\s9\s\d{3}\s\d{3}\s\d{4} | # Argentina Intl +54 9 XXX XXX XXXX
\+54\s\d{1}\s\d{4}\s\d{4} | # Argentina Intl +54 X XXXX XXXX
0\d{3}\s\d{4} | # Argentina STD 0XXX XXXX
\+54\d{10} | # +54 9 XXXXXXXXXX
\+54\d{9} | # +54 XXXXXXXXX
0\d{7} | # 0XXXXXXX
\+966\s\d\s\d{3}\s\d{4} | # Saudi Intl +966 X XXX XXXX
0\d\s\d{3}\s\d{4} | # Saudi STD 0X XXX XXXX
\+966\d{8} | # +966 XXXXXXXX
0\d{8} | # 0XXXXXXXX
\+1\d{10} | # +1 XXXXXXXXXX
\+1\s\d{3}\s\d{3}\s\d{4} | # +1 XXX XXX XXXX
\d{5}\s\d{5} | # XXXXX XXXXX
\d{10} | # XXXXXXXXXX
\+44\d{10} | # +44 XXXXXXXXXX
0\d{10} | # 0XXXXXXXXXX
\+61\d{9} | # +61 XXXXXXXXX
0\d{9} | # 0XXXXXXXXX
\+91\d{10} | # +91 XXXXXXXXXX
\+49\d{12} | # +49 XXXXXXXXXXXX
\+49\d{10} | # +49 XXXXXXXXXX
0\d{11} | # 0XXXXXXXXXXX
\+86\d{11} | # +86 XXXXXXXXXXX
\+81\d{10} | # +81 XXXXXXXXXX
\+81\d{9} | # +81 XXXXXXXXX
0\d{9} | # 0XXXXXXXXX
\+55\d{11} | # +55 XXXXXXXXXXX
\+55\d{10} | # +55 XXXXXXXXXX
0\d{10} | # 0XXXXXXXXXX
\+33\d{9} | # +33 XXXXXXXXX
0\d{9} | # 0XXXXXXXXX
\+7\d{10} | # +7 XXXXXXXXXX
8\d{10} | # 8 XXXXXXXXXX
\+27\d{9} | # +27 XXXXXXXXX
0\d{9} | # 0XXXXXXXXX (South Africa STD)
\+52\d{10} | # +52 XXXXXXXXXX
01\d{7} | # 01 XXXXXXX
\+234\d{10} | # +234 XXXXXXXXXX
0\d{10} | # 0XXXXXXXXXX
\+971\d{8} | # +971 XXXXXXXX
0\d{8} | # 0XXXXXXXX
\+54\s9\s\d{10} | # +54 9 XXXXXXXXXX
\+54\d{9} | # +54 XXXXXXXXX
0\d{7} | # 0XXXXXXX
\+966\d{8} | # +966 XXXXXXXX
0\d{8} # 0XXXXXXXX
\+\d{3}-\d{3}-\d{4}
)
''',re.VERBOSE)
# Email regex
email_regex = re.compile(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b')
# URL and links regex, updated to avoid conflicts with email domains
link_regex = re.compile(r'\b(?:https?:\/\/)?(?:www\.)[a-zA-Z0-9-]+\.(?:com|co\.in|co|io|org|net|edu|gov|mil|int|uk|us|in|de|au|app|tech|xyz|info|biz|fr|dev)\b')
# Find all matches in the text
phone_numbers = [num for num in combined_phone_regex.findall(text) if len(num) >= 5]
emails = email_regex.findall(text)
links_RE = [link for link in link_regex.findall(text) if len(link)>=11]
# Remove profile links that might conflict with emails
links_RE = [link for link in links_RE if not any(email in link for email in emails)]
return {
"phone_numbers": phone_numbers,
"emails": emails,
"links_RE": links_RE
}
# preprocessing the data
def process_extracted_text(extracted_text):
# Load JSON data
data = json.dumps(extracted_text, indent=4)
data = json.loads(data)
# Create a single dictionary to hold combined results
combined_results = {
"phone_numbers": [],
"emails": [],
"links_RE": []
}
# Process each text entry
for filename, text in data.items():
contact_details = extract_contact_details(text)
# Extend combined results with the details from this file
combined_results["phone_numbers"].extend(contact_details["phone_numbers"])
combined_results["emails"].extend(contact_details["emails"])
combined_results["links_RE"].extend(contact_details["links_RE"])
# Convert the combined results to JSON
#combined_results_json = json.dumps(combined_results, indent=4)
combined_results_json = combined_results
# Print the final JSON results
print("Combined contact details in JSON format:")
print(combined_results_json)
return combined_results_json
# Function to parse resume with SpaCy
def Parser_from_model(file_path):
# Initialize result with lists instead of strings for consistency
result = {
"personal": {
"name": [],
"contact": [],
"email": [],
"location": [],
"link": []
},
"professional": {
"technical_skills": [],
"non_technical_skills": [],
"tools": [],
"experience": [
{
"company": [],
"projects": [],
"role": [],
"years": [],
"project_experience": []
}
],
"education": [
{
"qualification": [],
"university": [],
"course": [],
"certificate": []
}
]
}
}
try:
nlp = spacy.load("Spacy_Models/ner_model_05_3")
logging.debug("Model loaded successfully.")
except Exception as e:
logging.error(f"Error loading model: {e}")
return {"error": "Model loading failed"}
try:
cleaned_text, hyperlinks = extract_text_based_on_format(file_path)
if not cleaned_text.strip():
logging.error("No text extracted from the file.")
return {"error": "Text extraction failed"}
except Exception as e:
logging.error(f"Error extracting text from file: {e}")
return {"error": "Text extraction failed"}
try:
doc = nlp(cleaned_text)
except Exception as e:
logging.error(f"Error processing text with SpaCy: {e}")
return {"error": "Text processing failed"}
# Extracting Contact Details
cont_data = process_extracted_text(cleaned_text)
# Initialize entities as a dictionary with lists
entities = {label: [] for label in [
'PERSON', 'EMAIL', 'CONTACT', 'LOCATION', 'SKILL', 'SOFT_SKILL',
'COMPANY', 'PROJECTS', 'JOB_TITLE', 'YEARS_EXPERIENCE', 'EXPERIENCE',
'QUALIFICATION', 'UNIVERSITY', 'COURSE', 'CERTIFICATE'
]}
# Process entities and avoid duplicates
for ent in doc.ents:
if ent.label_ in entities and ent.text not in entities[ent.label_]:
entities[ent.label_].append(ent.text)
# Helper function to handle None or unexpected types
def normalize_to_list(value):
if value is []:
return None
elif isinstance(value, (str, int, float)):
return [str(value)]
elif isinstance(value, list):
return value
else:
return [str(value)]
# Map entities to result JSON
result['personal']['name'] = normalize_to_list(entities.get('PERSON'))
result['personal']['email'] += cont_data['emails']
# Validate email and handle invalid ones
for email in entities.get('EMAIL', []):
if is_valid_email(email):
result['personal']['email'].append(email)
# Validate contact and handle invalid ones
result['personal']['contact'] += cont_data['phone_numbers']
for contact in entities.get('CONTACT', []):
if is_valid_contact(contact):
result['personal']['contact'].append(contact)
result['personal']['location'] = normalize_to_list(entities.get('LOCATION'))
result['personal']['link'] = normalize_to_list(hyperlinks)
result['personal']['link'] += cont_data['links_RE']
e
result['professional']['technical_skills'] = normalize_to_list(entities.get('SKILL'))
result['professional']['non_technical_skills'] = normalize_to_list(entities.get('SOFT_SKILL'))
result['professional']['tools'] = None # Logic for tools can be added if needed
experience = result['professional']['experience'][0]
experience['company'] = normalize_to_list(entities.get('COMPANY'))
experience['projects'] = normalize_to_list(entities.get('PROJECTS'))
experience['role'] = normalize_to_list(entities.get('JOB_TITLE'))
experience['years'] = normalize_to_list(entities.get('YEARS_EXPERIENCE'))
experience['project_experience'] = normalize_to_list(entities.get('EXPERIENCE'))
education = result['professional']['education'][0]
education['qualification'] = normalize_to_list(entities.get('QUALIFICATION'))
education['university'] = normalize_to_list(entities.get('UNIVERSITY'))
education['course'] = normalize_to_list(entities.get('COURSE'))
education['certificate'] = normalize_to_list(entities.get('CERTIFICATE'))
print(result)
return result |