Updated logging configuration

.gitignore

@@ -2,5 +2,6 @@ __pycache__
 .vscode
 .venv
 .env
+logs
 data
 inference_endpoints

functions/gradio.py

@@ -8,17 +8,37 @@ import logging
 from pathlib import Path
 from functions.linkedin_resume import extract_text_from_linkedin_pdf
 from functions.github import get_github_repositories
-from functions.job_call import summarize_job_call
-from functions.writer_agent import write_resume
+# from functions.job_call import summarize_job_call
+# from functions.writer_agent import write_resume
 
 # pylint: disable=broad-exception-caught
 
 # Set up logging
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-
-def process_inputs(linkedin_pdf, github_url, job_post_text, user_instructions):
+# Create logs directory if it doesn't exist
+logs_dir = Path(__file__).parent.parent / "logs"
+logs_dir.mkdir(exist_ok=True)
+
+# Strip extraneous handlers
+for handler in logging.root.handlers[:]:
+    logging.root.removeHandler(handler)
+
+# Configure logging to write to file and console
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+    handlers=[
+        logging.FileHandler(logs_dir / "gradio.log"),
+        logging.StreamHandler()  # Also log to console
+    ]
+)
+
+
+def process_inputs(
+        linkedin_pdf_path: str = None,
+        github_url: str = None,
+        job_post_text: str = None,
+        user_instructions: str = None
+):
     """
     Process the input files and URLs from the Gradio interface.
 
@@ -31,96 +51,103 @@ def process_inputs(linkedin_pdf, github_url, job_post_text, user_instructions):
     Returns:
         str: Formatted output with file and URL information
     """
-    result = ""
-    extraction_result = None
-    logger.info("Processing user inputs from Gradio interface")
-
-    # Process LinkedIn PDF file
-    if linkedin_pdf is not None:
-        file_path = linkedin_pdf.name
-        file_display_name = Path(file_path).name
-
-        result += "✅ LinkedIn Resume PDF provided\n"
-        logger.info("Processing LinkedIn PDF: %s", file_display_name)
-
-        # Extract and structure text from the PDF
-        extraction_result = extract_text_from_linkedin_pdf(file_path)
-
-        if extraction_result["status"] == "success":
-            result += " ✅ Text extraction successful\n\n"
-            logger.info("LinkedIn PDF text extraction successful")
-
-        elif extraction_result["status"] == "warning":
-            result += f" ⚠️  Text extraction: {extraction_result['message']}\n\n"
-            logger.warning("LinkedIn PDF extraction warning: %s", extraction_result['message'])
-        else:
-            result += f" ❌ Text extraction failed: {extraction_result['message']}\n\n"
-            logger.error("LinkedIn PDF extraction failed: %s", extraction_result['message'])
-    else:
-        result += "❌ No LinkedIn resume PDF file uploaded\n\n"
-        logger.info("No LinkedIn PDF file provided")
-
-    # Process GitHub profile
-    if github_url and github_url.strip():
-        result += "✅ GitHub Profile URL provided\n"
-        logger.info("Processing GitHub URL: %s", github_url.strip())
-
-        # Retrieve repositories from GitHub
-        github_result = get_github_repositories(github_url.strip())
 
-        if github_result["status"] == "success":
-            result += "  ✅ GitHub list download successful\n\n"
-            logger.info(
-                "GitHub repositories retrieved successfully for %s",
-                github_result['metadata']['username']
-            )
+    logger = logging.getLogger(f'{__name__}.process_inputs')
+    logger.info("LinkedIn PDF: %s", linkedin_pdf_path)
+    logger.info("GitHub URL: %s", github_url)
+    logger.info("Job post: %s", job_post_text[:100])
+    logger.info("User instructions: %s", user_instructions[:100] if user_instructions else "None")
+    result = ""
 
-        else:
-            result += f"  ❌ GitHub extraction failed: {github_result['message']}\n\n"
-            logger.error("GitHub extraction failed: %s", github_result['message'])
-    else:
-        result += "❌ No GitHub profile URL provided\n\n"
-        logger.info("No GitHub URL provided")
-
-    # Process job post text
-    if job_post_text and job_post_text.strip():
-        result += "✅ Job post text provided\n"
-        logger.info("Job post text provided (%d characters)", len(job_post_text))
-
-        summary = summarize_job_call(job_post_text.strip())
-        result += "  ✅ Job post summary generated\n"
-        logger.info("Job post summary generated (%d characters)", len(summary))
-
-    else:
-        result += "❌ Job post not provided\n"
-        logger.info("No job post text provided")
-        summary = None
-
-    # Process user instructions
-    if user_instructions and user_instructions.strip():
-        result += "✅ Additional instructions provided\n"
-        logger.info("User instructions provided (%d characters)", len(user_instructions))
-
-    else:
-        result += "ℹ️ No additional instructions provided\n"
-        logger.info("No additional instructions provided")
-
-    logger.info("Input processing completed")
-
-    # Generate resume only if we have valid extraction result
-    if extraction_result and extraction_result.get("status") == "success":
-        try:
-            _ = write_resume(extraction_result, user_instructions, summary)
-            result += "\n✅ Resume generated successfully\n"
-            logger.info("Resume generation completed successfully")
-
-        except Exception as e:
-            result += f"\n❌ Resume generation failed: {str(e)}\n"
-            logger.error("Resume generation failed: %s", str(e))
-    else:
-        result += "\n❌ Cannot generate resume: No valid LinkedIn data extracted\n"
-        result += "Please ensure you upload a valid LinkedIn PDF export file.\n"
-        logger.warning("Resume generation skipped - no valid LinkedIn data available")
+    # extraction_result = None
+    # logger.info("Processing user inputs from Gradio interface")
+
+    # # Process LinkedIn PDF file
+    # if linkedin_pdf is not None:
+    #     file_path = linkedin_pdf.name
+    #     file_display_name = Path(file_path).name
+
+    #     result += "✅ LinkedIn Resume PDF provided\n"
+    #     logger.info("Processing LinkedIn PDF: %s", file_display_name)
+
+    #     # Extract and structure text from the PDF
+    #     extraction_result = extract_text_from_linkedin_pdf(file_path)
+
+    #     if extraction_result["status"] == "success":
+    #         result += " ✅ Text extraction successful\n\n"
+    #         logger.info("LinkedIn PDF text extraction successful")
+
+    #     elif extraction_result["status"] == "warning":
+    #         result += f" ⚠️  Text extraction: {extraction_result['message']}\n\n"
+    #         logger.warning("LinkedIn PDF extraction warning: %s", extraction_result['message'])
+    #     else:
+    #         result += f" ❌ Text extraction failed: {extraction_result['message']}\n\n"
+    #         logger.error("LinkedIn PDF extraction failed: %s", extraction_result['message'])
+    # else:
+    #     result += "❌ No LinkedIn resume PDF file uploaded\n\n"
+    #     logger.info("No LinkedIn PDF file provided")
+
+    # # Process GitHub profile
+    # if github_url and github_url.strip():
+    #     result += "✅ GitHub Profile URL provided\n"
+    #     logger.info("Processing GitHub URL: %s", github_url.strip())
+
+    #     # Retrieve repositories from GitHub
+    #     github_result = get_github_repositories(github_url.strip())
+
+    #     if github_result["status"] == "success":
+    #         result += "  ✅ GitHub list download successful\n\n"
+    #         logger.info(
+    #             "GitHub repositories retrieved successfully for %s",
+    #             github_result['metadata']['username']
+    #         )
+
+    #     else:
+    #         result += f"  ❌ GitHub extraction failed: {github_result['message']}\n\n"
+    #         logger.error("GitHub extraction failed: %s", github_result['message'])
+    # else:
+    #     result += "❌ No GitHub profile URL provided\n\n"
+    #     logger.info("No GitHub URL provided")
+
+    # # Process job post text
+    # if job_post_text and job_post_text.strip():
+    #     result += "✅ Job post text provided\n"
+    #     logger.info("Job post text provided (%d characters)", len(job_post_text))
+
+    #     summary = summarize_job_call(job_post_text.strip())
+    #     result += "  ✅ Job post summary generated\n"
+    #     logger.info("Job post summary generated (%d characters)", len(summary))
+
+    # else:
+    #     result += "❌ Job post not provided\n"
+    #     logger.info("No job post text provided")
+    #     summary = None
+
+    # # Process user instructions
+    # if user_instructions and user_instructions.strip():
+    #     result += "✅ Additional instructions provided\n"
+    #     logger.info("User instructions provided (%d characters)", len(user_instructions))
+
+    # else:
+    #     result += "ℹ️ No additional instructions provided\n"
+    #     logger.info("No additional instructions provided")
+
+    # logger.info("Input processing completed")
+
+    # # Generate resume only if we have valid extraction result
+    # if extraction_result and extraction_result.get("status") == "success":
+    #     try:
+    #         _ = write_resume(extraction_result, user_instructions, summary)
+    #         result += "\n✅ Resume generated successfully\n"
+    #         logger.info("Resume generation completed successfully")
+
+    #     except Exception as e:
+    #         result += f"\n❌ Resume generation failed: {str(e)}\n"
+    #         logger.error("Resume generation failed: %s", str(e))
+    # else:
+    #     result += "\n❌ Cannot generate resume: No valid LinkedIn data extracted\n"
+    #     result += "Please ensure you upload a valid LinkedIn PDF export file.\n"
+    #     logger.warning("Resume generation skipped - no valid LinkedIn data available")
 
     return result