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| from langchain_community.tools.google_jobs import GoogleJobsQueryRun | |
| from langchain_community.utilities.google_jobs import GoogleJobsAPIWrapper | |
| from langchain_core.tools import tool | |
| from helpers.helper import clean_input | |
| import os | |
| if not os.getenv('SERPAPI_API_KEY'): | |
| raise ValueError("Please set SERPAPI_API_KEY environment variable") | |
| def format_job_results(jobs: list, query: str) -> str: | |
| """Format job results into a readable string""" | |
| if not jobs: | |
| return f"No job results found for query: '{query}'. Try using different keywords or location terms." | |
| formatted_results = [] | |
| formatted_results.append(f"Found {len(jobs)} job results for '{query}':\n") | |
| for i, job in enumerate(jobs[:10], 1): # Limit to first 10 results | |
| try: | |
| title = job.get('title', 'No title available') | |
| company = job.get('company_name', job.get('company', 'Company not specified')) | |
| location = job.get('location', 'Location not specified') | |
| link = job.get('link', job.get('url', job.get('apply_link', ''))) | |
| description = job.get('description', job.get('snippet', '')) | |
| salary = job.get('salary', '') | |
| job_text = f"{i}. **{title}**\n" | |
| job_text += f" Company: {company}\n" | |
| job_text += f" Location: {location}\n" | |
| if salary: | |
| job_text += f" Salary: {salary}\n" | |
| if link: | |
| job_text += f" Apply: {link}\n" | |
| if description: | |
| desc_preview = description[:150] + "..." if len(description) > 150 else description | |
| job_text += f" Description: {desc_preview}\n" | |
| job_text += "\n" | |
| formatted_results.append(job_text) | |
| except Exception: | |
| continue | |
| return "".join(formatted_results) | |
| def serpapi_fallback(query: str) -> str: | |
| """Direct SerpAPI call as fallback when LangChain wrapper fails""" | |
| try: | |
| import serpapi | |
| search = serpapi.GoogleSearch({ | |
| "q": query, | |
| "api_key": os.getenv('SERPAPI_API_KEY'), | |
| "engine": "google_jobs" | |
| }) | |
| results = search.get_dict() | |
| jobs = results.get('jobs_results', []) | |
| if jobs: | |
| return format_job_results(jobs, query) | |
| else: | |
| return f"No job results found for query: '{query}'. Try using different keywords or location terms." | |
| except ImportError: | |
| return f"Fallback search unavailable. Please try searching manually on Google Jobs, LinkedIn, Indeed, or other job boards for '{query}'." | |
| except Exception: | |
| return f"Search temporarily unavailable. Please try searching manually on Google Jobs, LinkedIn, Indeed, or other job boards for '{query}'." | |
| def google_job_search(query: str) -> str: | |
| """Performs a search for actual jobs and job posts in internet using Google jobs tool. Use when asked to provide jobs or job ads or job posts | |
| Args: | |
| query: The search query to look for job postings | |
| Returns: | |
| A formatted string containing job listings with titles, companies, locations, and links | |
| """ | |
| try: | |
| clean_query = clean_input(query) | |
| # Try LangChain wrapper first | |
| try: | |
| api_wrapper = GoogleJobsAPIWrapper() | |
| tool_instance = GoogleJobsQueryRun(api_wrapper=api_wrapper) | |
| results = tool_instance.run(clean_query) | |
| if results and results.strip(): | |
| return results | |
| else: | |
| return serpapi_fallback(clean_query) | |
| except KeyError as e: | |
| # LangChain wrapper failed with jobs_results error, use fallback | |
| if "'jobs_results'" in str(e): | |
| return serpapi_fallback(clean_query) | |
| else: | |
| raise e | |
| except Exception: | |
| # Try fallback for any other errors | |
| if "clean_query" in locals(): | |
| fallback_result = serpapi_fallback(clean_query) | |
| if "Search temporarily unavailable" not in fallback_result: | |
| return fallback_result | |
| # If fallback also fails, return helpful error message | |
| query_name = clean_query if "clean_query" in locals() else query | |
| return f"I'm unable to search for jobs right now. Please try searching manually on Google Jobs, LinkedIn, Indeed, or other job boards for '{query_name}'." | |