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