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from typing import Dict |
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from agent.tools.data_providers.RapidDataProviderBase import RapidDataProviderBase, EndpointSchema |
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class ActiveJobsProvider(RapidDataProviderBase): |
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def __init__(self): |
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endpoints: Dict[str, EndpointSchema] = { |
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"active_jobs": { |
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"route": "/active-ats-7d", |
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"method": "GET", |
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"name": "Active Jobs Search", |
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"description": "Get active job listings with various filter options.", |
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"payload": { |
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"limit": "Optional. Number of jobs per API call (10-100). Default is 100.", |
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"offset": "Optional. Offset for pagination. Default is 0.", |
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"title_filter": "Optional. Search terms for job title.", |
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"advanced_title_filter": "Optional. Advanced title filter with operators (can't be used with title_filter).", |
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"location_filter": "Optional. Filter by location(s). Use full names like 'United States' not 'US'.", |
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"description_filter": "Optional. Filter on job description content.", |
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"organization_filter": "Optional. Filter by company name(s).", |
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"description_type": "Optional. Return format for description: 'text' or 'html'. Leave empty to exclude descriptions.", |
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"source": "Optional. Filter by ATS source.", |
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"date_filter": "Optional. Filter by posting date (greater than).", |
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"ai_employment_type_filter": "Optional. Filter by employment type (FULL_TIME, PART_TIME, etc).", |
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"ai_work_arrangement_filter": "Optional. Filter by work arrangement (On-site, Hybrid, Remote OK, Remote Solely).", |
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"ai_experience_level_filter": "Optional. Filter by experience level (0-2, 2-5, 5-10, 10+).", |
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"li_organization_slug_filter": "Optional. Filter by LinkedIn company slug.", |
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"li_organization_slug_exclusion_filter": "Optional. Exclude LinkedIn company slugs.", |
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"li_industry_filter": "Optional. Filter by LinkedIn industry.", |
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"li_organization_specialties_filter": "Optional. Filter by LinkedIn company specialties.", |
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"li_organization_description_filter": "Optional. Filter by LinkedIn company description." |
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} |
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} |
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} |
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base_url = "https://active-jobs-db.p.rapidapi.com" |
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super().__init__(base_url, endpoints) |
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if __name__ == "__main__": |
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from dotenv import load_dotenv |
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load_dotenv() |
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tool = ActiveJobsProvider() |
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jobs = tool.call_endpoint( |
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route="active_jobs", |
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payload={ |
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"limit": "10", |
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"offset": "0", |
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"title_filter": "\"Data Engineer\"", |
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"location_filter": "\"United States\" OR \"United Kingdom\"", |
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"description_type": "text" |
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} |
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) |
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print("Active Jobs:", jobs) |
