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Configuration error
Configuration error
Added LinkedIn profile scraping functions.
Browse files
functions/__init__.py
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"""
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Functions package for the resumate application.
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This package contains modules for data acquisition, processing, and analysis
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of LinkedIn profiles, GitHub profiles, and job postings.
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"""
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from .data_acquisition import get_linkedin_profile_html
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__all__ = ['get_linkedin_profile_html']
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functions/__pycache__/__init__.cpython-310.pyc
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Binary file (422 Bytes). View file
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functions/__pycache__/context_acquisition.cpython-310.pyc
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Binary file (4.01 kB). View file
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functions/__pycache__/data_acquisition.cpython-310.pyc
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Binary file (4 kB). View file
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functions/context_acquisition.py
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"""
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context_acquisition.py
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Functions for acquiring context from various sources including LinkedIn profiles,
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GitHub profiles, and job postings using browser automation.
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"""
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from selenium import webdriver
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from selenium.webdriver.chrome.options import Options
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.common.exceptions import TimeoutException, WebDriverException
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import time
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import logging
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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def get_linkedin_profile_html(profile_url: str, wait_time: int = 10) -> str:
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"""
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Retrieve the HTML content of a LinkedIn profile using browser automation.
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Args:
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profile_url (str): The URL of the LinkedIn profile to scrape
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wait_time (int): Maximum time to wait for page elements to load (default: 10 seconds)
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Returns:
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str: The HTML content of the LinkedIn profile page
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Raises:
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ValueError: If the URL is not a valid LinkedIn profile URL
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WebDriverException: If there's an issue with the browser automation
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TimeoutException: If the page takes too long to load
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"""
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# Validate LinkedIn URL
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if not profile_url or not isinstance(profile_url, str):
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raise ValueError("Profile URL must be a non-empty string")
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if "linkedin.com/in/" not in profile_url:
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raise ValueError("URL must be a valid LinkedIn profile URL (containing 'linkedin.com/in/')")
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# Configure Chrome options for headless browsing
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chrome_options = Options()
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chrome_options.add_argument("--headless") # Run in background
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chrome_options.add_argument("--no-sandbox")
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chrome_options.add_argument("--disable-dev-shm-usage")
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chrome_options.add_argument("--disable-gpu")
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chrome_options.add_argument("--window-size=1920,1080")
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chrome_options.add_argument("--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36")
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driver = None
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try:
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# Initialize the Chrome driver
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logger.info("Initializing browser for URL: %s", profile_url)
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driver = webdriver.Chrome(options=chrome_options)
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driver.set_page_load_timeout(30)
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# Navigate to the LinkedIn profile
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logger.info("Navigating to LinkedIn profile...")
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driver.get(profile_url)
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# Wait for the page to load
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# Look for common LinkedIn profile elements
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wait = WebDriverWait(driver, wait_time)
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try:
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# Wait for either the main content or login prompt
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wait.until(
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EC.any_of(
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EC.presence_of_element_located((By.CSS_SELECTOR, ".pv-top-card")), # Profile header
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EC.presence_of_element_located((By.CSS_SELECTOR, ".profile-section")), # Profile section
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EC.presence_of_element_located((By.CSS_SELECTOR, ".authwall")), # Auth wall
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EC.presence_of_element_located((By.CSS_SELECTOR, ".public-profile")), # Public profile
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)
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)
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except TimeoutException:
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logger.warning("Standard LinkedIn elements not found, proceeding with current page state")
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# Additional wait to ensure dynamic content loads
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time.sleep(2)
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# Get the page HTML
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html_content = driver.page_source
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logger.info("Successfully retrieved HTML content (%d characters)", len(html_content))
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return html_content
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except WebDriverException as e:
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logger.error(f"WebDriver error occurred: {str(e)}")
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raise WebDriverException(f"Browser automation failed: {str(e)}")
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except Exception as e:
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logger.error(f"Unexpected error occurred: {str(e)}")
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raise RuntimeError(f"Failed to retrieve LinkedIn profile: {str(e)}")
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finally:
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# Always clean up the driver
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if driver:
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try:
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driver.quit()
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logger.info("Browser session closed")
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except Exception as e:
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logger.warning(f"Error closing browser: {str(e)}")
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def setup_chrome_driver_options() -> Options:
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"""
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Create and configure Chrome driver options for web scraping.
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Returns:
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Options: Configured Chrome options object
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"""
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chrome_options = Options()
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chrome_options.add_argument("--headless")
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chrome_options.add_argument("--no-sandbox")
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chrome_options.add_argument("--disable-dev-shm-usage")
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chrome_options.add_argument("--disable-gpu")
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chrome_options.add_argument("--window-size=1920,1080")
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chrome_options.add_argument("--disable-blink-features=AutomationControlled")
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chrome_options.add_experimental_option("excludeSwitches", ["enable-automation"])
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chrome_options.add_experimental_option('useAutomationExtension', False)
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return chrome_options
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resumate.py
CHANGED
@@ -15,14 +15,33 @@ To run:
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"""
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import gradio as gr
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def process_inputs(linkedin_url, github_url, job_post_url):
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"""
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"""
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with gr.Blocks() as demo:
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gr.Markdown("# Resumate: Profile & Job Post Input")
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"""
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import gradio as gr
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from functions.context_acquisition import get_linkedin_profile_html
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def process_inputs(linkedin_url, github_url, job_post_url):
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"""
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Process the input URLs and retrieve content from LinkedIn profile.
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Args:
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linkedin_url (str): LinkedIn profile URL
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github_url (str): GitHub profile URL
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job_post_url (str): LinkedIn job post URL
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Returns:
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str: Formatted output with URL information and LinkedIn profile status
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"""
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result = f"LinkedIn: {linkedin_url}\nGitHub: {github_url}\nJob Post: {job_post_url}\n\n"
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# Try to retrieve LinkedIn profile HTML if URL is provided
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if linkedin_url and linkedin_url.strip():
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try:
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result += "Attempting to retrieve LinkedIn profile...\n"
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html_content = get_linkedin_profile_html(linkedin_url)
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result += f"✅ Successfully retrieved LinkedIn profile HTML ({len(html_content)} characters)\n"
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except Exception as e: # pylint: disable=broad-exception-caught
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result += f"❌ Failed to retrieve LinkedIn profile: {str(e)}\n"
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return result
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with gr.Blocks() as demo:
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gr.Markdown("# Resumate: Profile & Job Post Input")
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