| """ |
| Shortlist — Shared Test Fixtures |
| |
| Provides reusable fixtures for the test suite. |
| """ |
|
|
| import os |
| import pytest |
| from unittest.mock import AsyncMock, patch, MagicMock |
| from fastapi.testclient import TestClient |
|
|
| |
| os.environ.setdefault("SECRET_KEY", "test-secret-key-do-not-use-in-production-1234567890") |
| os.environ.setdefault("SUPABASE_URL", "https://test-project.supabase.co") |
| os.environ.setdefault("SUPABASE_ANON_KEY", "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.test-anon-key") |
| os.environ.setdefault("SUPABASE_SERVICE_KEY", "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.test-service-key") |
| os.environ.setdefault("SUPABASE_JWT_SECRET", "test-jwt-secret-for-tests-only") |
| os.environ.setdefault("GROQ_API_KEY", "gsk_test_key_for_testing_only") |
| os.environ.setdefault("ENVIRONMENT", "testing") |
| os.environ.setdefault("ALLOWED_ORIGINS", "http://localhost:3000") |
|
|
| from app.main import app |
|
|
|
|
| @pytest.fixture |
| def client(): |
| """Synchronous test client.""" |
| return TestClient(app) |
|
|
|
|
| @pytest.fixture |
| def mock_supabase(): |
| """Mocked Supabase async client.""" |
| mock = AsyncMock() |
| mock.table = MagicMock() |
| mock.table.return_value.insert = MagicMock(return_value=AsyncMock()) |
| mock.table.return_value.select = MagicMock(return_value=AsyncMock()) |
| return mock |
|
|
|
|
| @pytest.fixture |
| def auth_headers(): |
| """ |
| Returns headers with a fake JWT that will fail real verification |
| but is useful for testing validation logic before auth kicks in. |
| """ |
| return {"Authorization": "Bearer fake-jwt-for-testing"} |
|
|
|
|
| @pytest.fixture |
| def sample_jd_text(): |
| """A realistic JD text for testing.""" |
| return ( |
| "We are looking for a Senior Backend Engineer with 5+ years of experience " |
| "in Python, FastAPI, and distributed systems. You will design and build " |
| "microservices that handle millions of requests per day. Experience with " |
| "PostgreSQL, Redis, Docker, and Kubernetes is required. Bonus: experience " |
| "with machine learning pipelines and real-time data processing. Strong " |
| "understanding of REST API design, authentication, and authorization patterns." |
| ) |
|
|
|
|
| @pytest.fixture |
| def sample_skill_profile(): |
| """A sample parsed skill profile.""" |
| return { |
| "primary_skills": [ |
| {"name": "Python", "category": "language", "weight": 9, "source": "explicit"}, |
| {"name": "FastAPI", "category": "framework", "weight": 8, "source": "explicit"}, |
| {"name": "PostgreSQL", "category": "database", "weight": 7, "source": "explicit"}, |
| ], |
| "secondary_skills": [ |
| {"name": "Redis", "category": "database", "weight": 5, "source": "explicit"}, |
| {"name": "Docker", "category": "devops", "weight": 5, "source": "explicit"}, |
| ], |
| "inferred_skills": [ |
| {"name": "Linux", "category": "devops", "weight": 3, "source": "inferred"}, |
| ], |
| "experience_level": "senior", |
| "domain_keywords": ["microservices", "distributed systems", "real-time"], |
| } |
|
|
