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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
# Function to parse resume with SpaCy
# Function to parse resume with SpaCy
def Parser_from_model(file_path):
result = {
"personal": {
"name": '',
"contact": '',
"email": '',
"location": '',
"link": '',
"invalid_email": '',
"invalid_contact": ''
},
"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"}
# 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
for ent in doc.ents:
if ent.label_ in entities:
if ent.text not in entities[ent.label_]: # Avoid duplicates
entities[ent.label_].append(ent.text)
# Map entities to the result JSON
result['personal']['name'] = entities.get('PERSON', [''])[0] if entities.get('PERSON', []) else ''
# Validate email
extracted_email = entities.get('EMAIL', [''])[0] if entities.get('EMAIL', []) else ''
if is_valid_email(extracted_email):
result['personal']['email'] = extracted_email
else:
logging.warning(f"Invalid email detected: {extracted_email}")
result['personal']['email'] = "Invalid email"
result['personal']['invalid_email'] = extracted_email
# Validate contact
extracted_contact = entities.get('CONTACT', [''])[0] if entities.get('CONTACT', []) else ''
if is_valid_contact(extracted_contact):
result['personal']['contact'] = extracted_contact
else:
logging.warning(f"Invalid contact detected: {extracted_contact}")
result['personal']['contact'] = "Invalid contact"
result['personal']['invalid_contact'] = extracted_contact
result['personal']['location'] = entities.get('LOCATION', [''])[0] if entities.get('LOCATION', []) else ''
result['personal']['link'] = hyperlinks # Hyperlinks from extracted text
result['professional']['technical_skills'] = entities.get('SKILL', [])
result['professional']['non_technical_skills'] = entities.get('SOFT_SKILL', [])
result['professional']['tools'] = [] # Add logic if tools extraction is needed
result['professional']['experience'][0]['company'] = entities.get('COMPANY', [''])[0] if entities.get('COMPANY', []) else ''
result['professional']['experience'][0]['projects'] = entities.get('PROJECTS', [''])[0] if entities.get('PROJECTS', []) else ''
result['professional']['experience'][0]['role'] = entities.get('JOB_TITLE', [''])[0] if entities.get('JOB_TITLE', []) else ''
result['professional']['experience'][0]['years'] = entities.get('YEARS_EXPERIENCE', [''])[0] if entities.get('YEARS_EXPERIENCE', []) else ''
result['professional']['experience'][0]['project_experience'] = entities.get('EXPERIENCE', [])
result['professional']['education'][0]['qualification'] = entities.get('QUALIFICATION', [''])[0] if entities.get('QUALIFICATION', []) else ''
result['professional']['education'][0]['university'] = entities.get('UNIVERSITY', [''])[0] if entities.get('UNIVERSITY', []) else ''
result['professional']['education'][0]['course'] = entities.get('COURSE', [''])[0] if entities.get('COURSE', []) else ''
result['professional']['education'][0]['certificate'] = entities.get('CERTIFICATE', [''])[0] if entities.get('CERTIFICATE', []) else ''
print(result)
return result
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