Refactored check for pre-existing linked profile PDF

functions/gradio.py

@@ -7,7 +7,7 @@ Functions for handling Gradio UI interactions and processing user inputs.
 import logging
 import shutil
 from pathlib import Path
-from functions.linkedin_resume import extract_text_from_linkedin_pdf
+from functions.linkedin_resume import extract_text_from_linkedin_pdf, check_default_linkedin_pdf
 from functions.github import get_github_repositories
 from functions.job_call import summarize_job_call
 from functions.writer_agent import write_resume
@@ -20,28 +20,6 @@ logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
 
-class MockFile:
-    """Mock file object that mimics uploaded file interface with just a file path."""
-
-    def __init__(self, path):
-        self.name = path
-
-
-def check_default_linkedin_pdf():
-    """Check if default LinkedIn PDF exists in data directory."""
-
-    # Get the project root directory (parent of functions directory)
-    project_root = Path(__file__).parent.parent
-    default_pdf = f'{project_root}/data/linkedin_profile.pdf'
-
-    if not Path(default_pdf).exists():
-        logger.warning("Default LinkedIn PDF not found at %s", default_pdf)
-
-        return False, None
-
-    return True, default_pdf
-
-
 def process_with_default_option(
     use_default_pdf,
     linkedin_pdf,
@@ -254,3 +232,10 @@ def get_processed_data(linkedin_pdf, github_url, job_post_text, instructions):
             processed_data["errors"].append(f"GitHub: {github_result['message']}")
 
     return processed_data
+
+
+class MockFile:
+    """Mock file object that mimics uploaded file interface with just a file path."""
+
+    def __init__(self, path):
+        self.name = path

functions/linkedin_resume.py

@@ -20,6 +20,21 @@ logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
 
+def check_default_linkedin_pdf():
+    """Check if default LinkedIn PDF exists in data directory."""
+
+    # Get the project root directory (parent of functions directory)
+    project_root = Path(__file__).parent.parent
+    default_pdf = f'{project_root}/data/linkedin_profile.pdf'
+
+    if not Path(default_pdf).exists():
+        logger.warning("Default LinkedIn PDF not found at %s", default_pdf)
+
+        return False, None
+
+    return True, default_pdf
+
+
 def extract_text_from_linkedin_pdf(pdf_file) -> dict:
     """
     Extract and structure text content from an uploaded LinkedIn resume export PDF file