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Update utils/mistral.py
Browse files- utils/mistral.py +378 -377
utils/mistral.py
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# mistral.py
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import os
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import json
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import logging
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from huggingface_hub import InferenceClient
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from huggingface_hub.utils._errors import BadRequestError
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from
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from
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import
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print("
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r'^\+91[\s\.\-\/]?\d{5}[\s\-\.\/]?\d{5}$', # +91 with
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r'\(\d{3}\)\s\d{3}-\d{4} ',
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r'\(\d{3}\)\s\d{3}
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r'\(\d{3}\)\s\d{3}\s\d{
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r'\d{10} ',
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r'\+44\s\d{
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r'0\d{
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r'\+91\s\d{
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r'\+91\s\d{
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r'\+49\s\d{
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r'\+81\d{
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r'\+55\s\d{2}\s\d{
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r'\+55\d{
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result['personal']
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result['personal']['
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# mistral.py
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import os
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import json
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import logging
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from huggingface_hub import InferenceClient
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#from huggingface_hub.utils._errors import BadRequestError
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from huggingface_hub import BadRequestError
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from dotenv import load_dotenv
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from utils.fileTotext import extract_text_based_on_format
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import re
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from utils.spacy import Parser_from_model
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# Load environment variables from .env file
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load_dotenv()
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# Authenticate with Hugging Face
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HFT = os.getenv('HF_TOKEN')
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if not HFT:
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raise ValueError("Hugging Face token is not set in environment variables.")
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client = InferenceClient(model="mistralai/Mistral-Nemo-Instruct-2407", token=HFT)
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# Function to clean model output
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def Data_Cleaner(text):
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pattern = r".*?format:"
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result = re.split(pattern, text, maxsplit=1)
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if len(result) > 1:
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text_after_format = result[1].strip().strip('`').strip('json')
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else:
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text_after_format = text.strip().strip('`').strip('json')
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return text_after_format
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# Function to call Mistral and process output
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def Model_ProfessionalDetails_Output(resume, client):
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system_role = {
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"role": "system",
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"content": "You are a skilled resume parser. Your task is to extract professional details from resumes in a structured JSON format defined by the User. Ensure accuracy and completeness while maintaining the format provided and if field are missing just return 'not found'."
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}
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user_prompt = {
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"role": "user",
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"content": f'''Act as a resume parser for the following text given in text: {resume}
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Extract the text in the following output JSON string as:
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{{
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"professional": {{
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"technical_skills": "List all technical skills, programming languages, frameworks, and technologies mentioned in the resume, ensuring they are not mixed with other skill types.",
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"non_technical_skills": "Identify and list non-technical skills such as leadership, teamwork, and communication skills, ensuring they are not mixed with technical skills.",
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"tools": "Enumerate all software tools, platforms, and applications (e.g., Figma, Unity, MS Office, etc.) referenced in the resume, distinctly separate from skills.",
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"projects": "Extract the names or titles of all projects mentioned in the resume.",
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"projects_experience": "Summarize overall project experiences, providing a brief description of each project as detailed in the resume.",
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"experience": "Calculate total professional work experience in years and months based on the resume.",
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"companies_worked_at": "List the names of all companies where employment is mentioned in the resume.",
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"certifications": "Extract and list all certifications obtained as stated in the resume.",
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"roles": "Include the names of all job titles or roles held as indicated in the resume.",
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"qualifications": "List educational qualifications (e.g., B.Tech) from the resume. If none are found, return 'No education listed'.",
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"courses": "Extract the names of completed courses based on the resume. If none are found, return 'No courses listed'.",
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"university": "Identify the name of the university, college, or institute attended, based on the resume. If not found, return 'No university listed'.",
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"year_of_graduation": "Extract the year of graduation from the resume. If not found, return 'No year of graduation listed'."
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}}
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}}
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Json Output:
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'''
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}
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response = ""
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for message in client.chat_completion(messages=[system_role, user_prompt], max_tokens=3000, stream=True, temperature=0.35):
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response += message.choices[0].delta.content
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try:
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clean_response = Data_Cleaner(response)
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parsed_response = json.loads(clean_response)
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except json.JSONDecodeError as e:
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logging.error(f"JSON Decode Error: {e}")
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return {}
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return parsed_response
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def Model_PersonalDetails_Output(resume, client):
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system_role = {
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"role": "system",
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"content": "You are a skilled resume parser. Your task is to extract professional details from resumes in a structured JSON format defined by the User. Ensure accuracy and completeness while maintaining the format provided and if field are missing just return 'not found'."
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}
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user_prompt = {
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"role": "user",
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"content": f'''Act as a resume parser for the following text given in text: {resume}
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Extract the text in the following output JSON string as:
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{{
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"personal": {{
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"name": "Extract the full name based on the resume. If not found, return 'No name listed'.",
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"contact_number": "Extract the contact number from the resume. If not found, return 'No contact number listed'.",
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"email": "Extract the email address from the resume. If not found, return 'No email listed'.",
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"Address": "Extract the Address or address from the resume. If not found, return 'No Address listed'.",
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"link": "Extract any relevant links (e.g., portfolio, LinkedIn) from the resume. If not found, return 'No link listed'."
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}}
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}}
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output:
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'''
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}
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# Response
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response = ""
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for message in client.chat_completion(
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messages=[system_role, user_prompt],
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max_tokens=3000,
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stream=True,
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temperature=0.35,
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):
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response += message.choices[0].delta.content
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# Handle cases where the response might have formatting issues
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try:
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#print('The Og response:-->',response)
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clean_response=Data_Cleaner(response)
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#print("After data cleaning",clean_response)
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parsed_response = json.loads(clean_response)
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except json.JSONDecodeError as e:
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print("JSON Decode Error:", e)
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print("Raw Response:", response)
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return {}
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return parsed_response
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# # Fallback to SpaCy if Mistral fails
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# Add regex pattern for LinkedIn and GitHub links
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linkedin_pattern = r"https?://(?:www\.)?linkedin\.com/[\w\-_/]+"
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github_pattern = r"https?://(?:www\.)?github\.com/[\w\-_/]+"
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email_pattern = r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$"
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contact_pattern = r"^\+?[\d\s\-()]{7,15}$"
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def extract_links(hyperlinks):
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linkedin_links = []
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github_links = []
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# Iterate through the hyperlinks and apply regex to find LinkedIn and GitHub links
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for link in hyperlinks:
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if re.match(linkedin_pattern, link):
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linkedin_links.append(link)
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elif re.match(github_pattern, link):
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github_links.append(link)
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return linkedin_links, github_links
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def is_valid_email(email):
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email_regex = r'^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$'
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return re.match(email_regex, email) is not None
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def is_valid_contact(contact):
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patterns = [
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r'^\+91[\s\.\-\/]?\(?0?\)?[\s\-\.\/]?\d{5}[\s\-\.\/]?\d{5}$', # +91 with optional 0 and separators
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+
r'^\+91[\s\.\-\/]?\d{5}[\s\-\.\/]?\d{5}$', # +91 with 10 digits separated
|
154 |
+
r'^\d{5}[\s\-\.\/]?\d{5}$', # Local format without country code
|
155 |
+
r'^\+91[\s\.\-\/]?\d{10}$', # +91 with 10 digits together
|
156 |
+
r'^\d{10}$', # 10 digits together
|
157 |
+
r'^\+91[\s\.\-\/]?\(?\d{5}\)?[\s\-\.\/]?\d{5}[\s\-\.\/]?\d{5}$' # +91 with varying separators
|
158 |
+
r'\+1\s\(\d{3}\)\s\d{3}-\d{4} ', # USA/Canada Intl +1 (XXX) XXX-XXXX
|
159 |
+
r'\(\d{3}\)\s\d{3}-\d{4} ', # USA/Canada STD (XXX) XXX-XXXX
|
160 |
+
r'\(\d{3}\)\s\d{3}\s\d{4} ', # USA/Canada (XXX) XXX XXXX
|
161 |
+
r'\(\d{3}\)\s\d{3}\s\d{3} ', # USA/Canada (XXX) XXX XXX
|
162 |
+
r'\+1\d{10} ', # +1 XXXXXXXXXX
|
163 |
+
r'\d{10} ', # XXXXXXXXXX
|
164 |
+
r'\+44\s\d{4}\s\d{6} ', # UK Intl +44 XXXX XXXXXX
|
165 |
+
r'\+44\s\d{3}\s\d{3}\s\d{4} ', # UK Intl +44 XXX XXX XXXX
|
166 |
+
r'0\d{4}\s\d{6} ', # UK STD 0XXXX XXXXXX
|
167 |
+
r'0\d{3}\s\d{3}\s\d{4} ', # UK STD 0XXX XXX XXXX
|
168 |
+
r'\+44\d{10} ', # +44 XXXXXXXXXX
|
169 |
+
r'0\d{10} ', # 0XXXXXXXXXX
|
170 |
+
r'\+61\s\d\s\d{4}\s\d{4} ', # Australia Intl +61 X XXXX XXXX
|
171 |
+
r'0\d\s\d{4}\s\d{4} ', # Australia STD 0X XXXX XXXX
|
172 |
+
r'\+61\d{9} ', # +61 XXXXXXXXX
|
173 |
+
r'0\d{9} ', # 0XXXXXXXXX
|
174 |
+
r'\+91\s\d{5}-\d{5} ', # India Intl +91 XXXXX-XXXXX
|
175 |
+
r'\+91\s\d{4}-\d{6} ', # India Intl +91 XXXX-XXXXXX
|
176 |
+
r'\+91\s\d{10} ', # India Intl +91 XXXXXXXXXX
|
177 |
+
r'0\d{2}-\d{7} ', # India STD 0XX-XXXXXXX
|
178 |
+
r'\+91\d{10} ', # +91 XXXXXXXXXX
|
179 |
+
r'\+49\s\d{4}\s\d{8} ', # Germany Intl +49 XXXX XXXXXXXX
|
180 |
+
r'\+49\s\d{3}\s\d{7} ', # Germany Intl +49 XXX XXXXXXX
|
181 |
+
r'0\d{3}\s\d{8} ', # Germany STD 0XXX XXXXXXXX
|
182 |
+
r'\+49\d{12} ', # +49 XXXXXXXXXXXX
|
183 |
+
r'\+49\d{10} ', # +49 XXXXXXXXXX
|
184 |
+
r'0\d{11} ', # 0XXXXXXXXXXX
|
185 |
+
r'\+86\s\d{3}\s\d{4}\s\d{4} ', # China Intl +86 XXX XXXX XXXX
|
186 |
+
r'0\d{3}\s\d{4}\s\d{4} ', # China STD 0XXX XXXX XXXX
|
187 |
+
r'\+86\d{11} ', # +86 XXXXXXXXXXX
|
188 |
+
r'\+81\s\d\s\d{4}\s\d{4} ', # Japan Intl +81 X XXXX XXXX
|
189 |
+
r'\+81\s\d{2}\s\d{4}\s\d{4} ', # Japan Intl +81 XX XXXX XXXX
|
190 |
+
r'0\d\s\d{4}\s\d{4} ', # Japan STD 0X XXXX XXXX
|
191 |
+
r'\+81\d{10} ', # +81 XXXXXXXXXX
|
192 |
+
r'\+81\d{9} ', # +81 XXXXXXXXX
|
193 |
+
r'0\d{9} ', # 0XXXXXXXXX
|
194 |
+
r'\+55\s\d{2}\s\d{5}-\d{4} ', # Brazil Intl +55 XX XXXXX-XXXX
|
195 |
+
r'\+55\s\d{2}\s\d{4}-\d{4} ', # Brazil Intl +55 XX XXXX-XXXX
|
196 |
+
r'0\d{2}\s\d{4}\s\d{4} ', # Brazil STD 0XX XXXX XXXX
|
197 |
+
r'\+55\d{11} ', # +55 XXXXXXXXXXX
|
198 |
+
r'\+55\d{10} ', # +55 XXXXXXXXXX
|
199 |
+
r'0\d{10} ', # 0XXXXXXXXXX
|
200 |
+
r'\+33\s\d\s\d{2}\s\d{2}\s\d{2}\s\d{2} ', # France Intl +33 X XX XX XX XX
|
201 |
+
r'0\d\s\d{2}\s\d{2}\s\d{2}\s\d{2} ', # France STD 0X XX XX XX XX
|
202 |
+
r'\+33\d{9} ', # +33 XXXXXXXXX
|
203 |
+
r'0\d{9} ', # 0XXXXXXXXX
|
204 |
+
r'\+7\s\d{3}\s\d{3}-\d{2}-\d{2} ', # Russia Intl +7 XXX XXX-XX-XX
|
205 |
+
r'8\s\d{3}\s\d{3}-\d{2}-\d{2} ', # Russia STD 8 XXX XXX-XX-XX
|
206 |
+
r'\+7\d{10} ', # +7 XXXXXXXXXX
|
207 |
+
r'8\d{10} ', # 8 XXXXXXXXXX
|
208 |
+
r'\+27\s\d{2}\s\d{3}\s\d{4} ', # South Africa Intl +27 XX XXX XXXX
|
209 |
+
r'0\d{2}\s\d{3}\s\d{4} ', # South Africa STD 0XX XXX XXXX
|
210 |
+
r'\+27\d{9} ', # +27 XXXXXXXXX
|
211 |
+
r'0\d{9} ', # 0XXXXXXXXX
|
212 |
+
r'\+52\s\d{3}\s\d{3}\s\d{4} ', # Mexico Intl +52 XXX XXX XXXX
|
213 |
+
r'\+52\s\d{2}\s\d{4}\s\d{4} ', # Mexico Intl +52 XX XXXX XXXX
|
214 |
+
r'01\s\d{3}\s\d{4} ', # Mexico STD 01 XXX XXXX
|
215 |
+
r'\+52\d{10} ', # +52 XXXXXXXXXX
|
216 |
+
r'01\d{7} ', # 01 XXXXXXX
|
217 |
+
r'\+234\s\d{3}\s\d{3}\s\d{4} ', # Nigeria Intl +234 XXX XXX XXXX
|
218 |
+
r'0\d{3}\s\d{3}\s\d{4} ', # Nigeria STD 0XXX XXX XXXX
|
219 |
+
r'\+234\d{10} ', # +234 XXXXXXXXXX
|
220 |
+
r'0\d{10} ', # 0XXXXXXXXXX
|
221 |
+
r'\+971\s\d\s\d{3}\s\d{4} ', # UAE Intl +971 X XXX XXXX
|
222 |
+
r'0\d\s\d{3}\s\d{4} ', # UAE STD 0X XXX XXXX
|
223 |
+
r'\+971\d{8} ', # +971 XXXXXXXX
|
224 |
+
r'0\d{8} ', # 0XXXXXXXX
|
225 |
+
r'\+54\s9\s\d{3}\s\d{3}\s\d{4} ', # Argentina Intl +54 9 XXX XXX XXXX
|
226 |
+
r'\+54\s\d{1}\s\d{4}\s\d{4} ', # Argentina Intl +54 X XXXX XXXX
|
227 |
+
r'0\d{3}\s\d{4} ', # Argentina STD 0XXX XXXX
|
228 |
+
r'\+54\d{10} ', # +54 9 XXXXXXXXXX
|
229 |
+
r'\+54\d{9} ', # +54 XXXXXXXXX
|
230 |
+
r'0\d{7} ', # 0XXXXXXX
|
231 |
+
r'\+966\s\d\s\d{3}\s\d{4} ', # Saudi Intl +966 X XXX XXXX
|
232 |
+
r'0\d\s\d{3}\s\d{4} ', # Saudi STD 0X XXX XXXX
|
233 |
+
r'\+966\d{8} ', # +966 XXXXXXXX
|
234 |
+
r'0\d{8} ', # 0XXXXXXXX
|
235 |
+
r'\+1\d{10} ', # +1 XXXXXXXXXX
|
236 |
+
r'\+1\s\d{3}\s\d{3}\s\d{4} ', # +1 XXX XXX XXXX
|
237 |
+
r'\d{5}\s\d{5} ', # XXXXX XXXXX
|
238 |
+
r'\d{10} ', # XXXXXXXXXX
|
239 |
+
r'\+44\d{10} ', # +44 XXXXXXXXXX
|
240 |
+
r'0\d{10} ', # 0XXXXXXXXXX
|
241 |
+
r'\+61\d{9} ', # +61 XXXXXXXXX
|
242 |
+
r'0\d{9} ', # 0XXXXXXXXX
|
243 |
+
r'\+91\d{10} ', # +91 XXXXXXXXXX
|
244 |
+
r'\+49\d{12} ', # +49 XXXXXXXXXXXX
|
245 |
+
r'\+49\d{10} ', # +49 XXXXXXXXXX
|
246 |
+
r'0\d{11} ', # 0XXXXXXXXXXX
|
247 |
+
r'\+86\d{11} ', # +86 XXXXXXXXXXX
|
248 |
+
r'\+81\d{10} ', # +81 XXXXXXXXXX
|
249 |
+
r'\+81\d{9} ', # +81 XXXXXXXXX
|
250 |
+
r'0\d{9} ', # 0XXXXXXXXX
|
251 |
+
r'\+55\d{11} ', # +55 XXXXXXXXXXX
|
252 |
+
r'\+55\d{10} ', # +55 XXXXXXXXXX
|
253 |
+
r'0\d{10} ', # 0XXXXXXXXXX
|
254 |
+
r'\+33\d{9} ', # +33 XXXXXXXXX
|
255 |
+
r'0\d{9} ', # 0XXXXXXXXX
|
256 |
+
r'\+7\d{10} ', # +7 XXXXXXXXXX
|
257 |
+
r'8\d{10} ', # 8 XXXXXXXXXX
|
258 |
+
r'\+27\d{9} ', # +27 XXXXXXXXX
|
259 |
+
r'0\d{9} ', # 0XXXXXXXXX (South Africa STD)
|
260 |
+
r'\+52\d{10} ', # +52 XXXXXXXXXX
|
261 |
+
r'01\d{7} ', # 01 XXXXXXX
|
262 |
+
r'\+234\d{10} ', # +234 XXXXXXXXXX
|
263 |
+
r'0\d{10} ', # 0XXXXXXXXXX
|
264 |
+
r'\+971\d{8} ', # +971 XXXXXXXX
|
265 |
+
r'0\d{8} ', # 0XXXXXXXX
|
266 |
+
r'\+54\s9\s\d{10} ', # +54 9 XXXXXXXXXX
|
267 |
+
r'\+54\d{9} ', # +54 XXXXXXXXX
|
268 |
+
r'0\d{7} ', # 0XXXXXXX
|
269 |
+
r'\+966\d{8} ', # +966 XXXXXXXX
|
270 |
+
r'0\d{8}' # 0XXXXXXXX
|
271 |
+
]
|
272 |
+
|
273 |
+
# Check if the contact matches any of the patterns
|
274 |
+
return any(re.match(pattern, contact) for pattern in patterns) is not None
|
275 |
+
|
276 |
+
|
277 |
+
def validate_contact_email(personal_data):
|
278 |
+
contact = personal_data.get('contact', 'Not found')
|
279 |
+
email = personal_data.get('email', 'Not found')
|
280 |
+
|
281 |
+
valid_contact = is_valid_contact(contact) if contact != 'Not found' else False
|
282 |
+
valid_email = is_valid_email(email) if email != 'Not found' else False
|
283 |
+
|
284 |
+
invalid_contact = 'Invalid contact' if not valid_contact else 'Valid contact'
|
285 |
+
invalid_email = 'Invalid email' if not valid_email else 'Valid email'
|
286 |
+
|
287 |
+
return valid_contact, invalid_contact, valid_email, invalid_email
|
288 |
+
|
289 |
+
|
290 |
+
def process_resume_data(file_path):
|
291 |
+
resume_text, hyperlinks = extract_text_based_on_format(file_path)
|
292 |
+
print("Resume converted to text successfully.")
|
293 |
+
|
294 |
+
if not resume_text:
|
295 |
+
return {"error": "Text extraction failed"}
|
296 |
+
|
297 |
+
# Extract LinkedIn and GitHub links
|
298 |
+
linkedin_links, github_links = extract_links(hyperlinks)
|
299 |
+
|
300 |
+
# Attempt to use Mistral model for parsing
|
301 |
+
try:
|
302 |
+
# Extract personal details using Mistral
|
303 |
+
per_data = Model_PersonalDetails_Output(resume_text, client)
|
304 |
+
|
305 |
+
# Extract professional details using Mistral
|
306 |
+
pro_data = Model_ProfessionalDetails_Output(resume_text, client)
|
307 |
+
|
308 |
+
# Check if per_data and pro_data have been populated correctly
|
309 |
+
if not per_data:
|
310 |
+
logging.warning("Mistral personal data extraction failed.")
|
311 |
+
per_data = {}
|
312 |
+
|
313 |
+
if not pro_data:
|
314 |
+
logging.warning("Mistral professional data extraction failed.")
|
315 |
+
pro_data = {}
|
316 |
+
|
317 |
+
# Combine both personal and professional details into a structured output
|
318 |
+
result = {
|
319 |
+
"personal": {
|
320 |
+
"name": per_data.get('personal', {}).get('name', 'Not found'),
|
321 |
+
"contact": per_data.get('personal', {}).get('contact_number', 'Not found'),
|
322 |
+
"email": per_data.get('personal', {}).get('email', 'Not found'),
|
323 |
+
"location": per_data.get('personal', {}).get('Address', 'Not found'),
|
324 |
+
"linkedin": linkedin_links,
|
325 |
+
"github": github_links,
|
326 |
+
"other_links": hyperlinks # Store remaining links if needed
|
327 |
+
},
|
328 |
+
"professional": {
|
329 |
+
"technical_skills": pro_data.get('professional', {}).get('technical_skills', 'Not found'),
|
330 |
+
"non_technical_skills": pro_data.get('professional', {}).get('non_technical_skills', 'Not found'),
|
331 |
+
"tools": pro_data.get('professional', {}).get('tools', 'Not found'),
|
332 |
+
"experience": [
|
333 |
+
{
|
334 |
+
"company": pro_data.get('professional', {}).get('companies_worked_at', 'Not found'),
|
335 |
+
"projects": pro_data.get('professional', {}).get('projects', 'Not found'),
|
336 |
+
"role": pro_data.get('professional', {}).get('worked_as', 'Not found'),
|
337 |
+
"years": pro_data.get('professional', {}).get('experience', 'Not found'),
|
338 |
+
"project_experience": pro_data.get('professional', {}).get('projects_experience', 'Not found')
|
339 |
+
}
|
340 |
+
],
|
341 |
+
"education": [
|
342 |
+
{
|
343 |
+
"qualification": pro_data.get('professional', {}).get('qualification', 'Not found'),
|
344 |
+
"university": pro_data.get('professional', {}).get('university', 'Not found'),
|
345 |
+
"course": pro_data.get('professional', {}).get('course', 'Not found'),
|
346 |
+
"certificate": pro_data.get('professional', {}).get('certification', 'Not found')
|
347 |
+
}
|
348 |
+
]
|
349 |
+
}
|
350 |
+
}
|
351 |
+
|
352 |
+
# Validate contact and email
|
353 |
+
valid_contact, invalid_contact, valid_email, invalid_email = validate_contact_email(result['personal'])
|
354 |
+
result['personal']['valid_contact'] = valid_contact
|
355 |
+
result['personal']['invalid_contact'] = invalid_contact
|
356 |
+
result['personal']['valid_email'] = valid_email
|
357 |
+
result['personal']['invalid_email'] = invalid_email
|
358 |
+
|
359 |
+
# If Mistral produces valid output, return it
|
360 |
+
if per_data or pro_data:
|
361 |
+
logging.info("Successfully extracted data using Mistral.")
|
362 |
+
print("---------Mistral-------")
|
363 |
+
return result
|
364 |
+
else:
|
365 |
+
raise ValueError("Mistral returned no output")
|
366 |
+
|
367 |
+
# Handle HuggingFace API or Mistral model errors
|
368 |
+
except BadRequestError as e:
|
369 |
+
logging.error(f"HuggingFace API error: {e}. Falling back to SpaCy.")
|
370 |
+
print(f"HuggingFace API error: {e}. Falling back to SpaCy.")
|
371 |
+
except Exception as e:
|
372 |
+
logging.error(f"An error occurred while processing with Mistral: {e}. Falling back to SpaCy.")
|
373 |
+
print(f"An error occurred while processing with Mistral: {e}. Falling back to SpaCy.")
|
374 |
+
|
375 |
+
# Fallback to SpaCy if Mistral fails
|
376 |
+
logging.warning("Mistral failed, switching to SpaCy.")
|
377 |
+
print("---------SpaCy-------")
|
378 |
+
return Parser_from_model(file_path)
|