jpmschweitzerandClaude Opus 4.5
a61fbe5a88
Set up Webber - multi-agent AI development system with: - Domain-based project structure (src/domains/, src/shared/) - BaseController pattern with lazy router instantiation - Pydantic Settings configuration with env file support - Logger decorator with temporal benchmarking and trace IDs - UserProvider singleton for request-scoped context - Custom exception hierarchy - Health endpoints (/, /health) Dependencies (CVE checked 2026-01-09): - FastAPI 0.128.0, Starlette 0.50.0, Uvicorn 0.40.0 - Pydantic 2.12.4, PydanticAI 1.40.0 - All packages at latest safe versions Placeholder domains for future implementation: - agents/ (explore, plan, task) - tools/ (file, shell, search) - auth/ (tatlock integration) Port: 8086 (per CONTAINERS.md allocation) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
30 lines
705 B
Python
30 lines
705 B
Python
"""
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Health endpoint tests.
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"""
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import pytest
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@pytest.mark.anyio
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async def test_root(client):
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"""Test root endpoint returns service info."""
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response = await client.get("/")
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assert response.status_code == 200
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data = response.json()
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assert "Webber" in data["service"]
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assert data["status"] == "healthy"
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assert "version" in data
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assert data["docs"] == "/docs"
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@pytest.mark.anyio
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async def test_health_check(client):
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"""Test health check endpoint."""
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response = await client.get("/health")
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assert response.status_code == 200
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data = response.json()
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assert data["status"] == "healthy"
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assert "Webber" in data["service"]
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assert "version" in data
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