import requests from .normalizer import normalize_job_data import os # --- THIS IS A SKELETON FILE --- url = "https://upwork-jobs-api2.p.rapidapi.com/active-freelance-1h" querystring = {"limit":"10"} headers = { "x-rapidapi-key": "bfac064b2fmsh8be26d692fcad76p168d6cjsncf4237253560", "x-rapidapi-host": "upwork-jobs-api2.p.rapidapi.com" } response = requests.get(url, headers=headers, params=querystring) print(response.json()) def fetch_upwork_jobs_stub(query="web developer", limit=5): """ Skeleton function to fetch jobs from an Upwork RapidAPI. Returns a predefined list of mock jobs. """ print("Upwork agent is a stub. Returning mock data.") mock_upwork_jobs = [ { 'title': 'Build a responsive website (Stub)', 'snippet': 'Need a developer to create a 5-page marketing website. Must be proficient in HTML, CSS, and JavaScript. This is a mock job.', 'url': 'https://www.upwork.com/jobs', 'published_on': '2025-01-15T12:00:00Z', 'category2': 'Web Development', 'client': {'country': 'United States'} } ] return [normalize_job_data(job, "Upwork (Stub)") for job in mock_upwork_jobs] def fetch_upwork_jobs_real(query="web developer", limit=10): """ Real implementation example for fetching jobs from an Upwork RapidAPI. NOTE: This code is illustrative and depends on the specific API's structure. """ if RAPIDAPI_KEY == "YOUR_RAPIDAPI_KEY_HERE": print("RAPIDAPI_KEY not set for Upwork. Cannot fetch real data.") return [] url = f"https://{RAPIDAPI_HOST}/search/jobs" params = {"q": query, "per_page": str(limit)} headers = { "x-rapidapi-key": RAPIDAPI_KEY, "x-rapidapi-host": RAPIDAPI_HOST } try: response = requests.get(url, headers=headers, params=params) response.raise_for_status() jobs = response.json().get('jobs', []) # Adjust based on actual API response return [normalize_job_data(job, "Upwork") for job in jobs] except requests.exceptions.RequestException as e: print(f"Error fetching jobs from Upwork RapidAPI: {e}") return []