test_pipeline.py 1.45 KB
#!/usr/bin/env python3
"""Test Agent: pipeline test — verify learn/articles/cron data pipeline endpoints."""
import json
import subprocess

import pytest

BASE_URL = "http://127.0.0.1:5001"


def _curl_status_body(path):
    r = subprocess.run(
        ["curl", "-s", "-o", "/dev/null", "-w", "%{http_code}", f"{BASE_URL}{path}"],
        capture_output=True, text=True, timeout=10,
    )
    status = int(r.stdout.strip() or 0)
    r2 = subprocess.run(
        ["curl", "-s", f"{BASE_URL}{path}"],
        capture_output=True, text=True, timeout=10,
    )
    try:
        body = json.loads(r2.stdout) if r2.stdout.strip() else {}
    except Exception:
        body = {"_raw": r2.stdout[:200]}
    return status, body


ENDPOINTS = [
    "/api/cron/list",
    "/api/learn-queue",
    "/api/articles",
    "/api/reports",
    "/api/learn-results",
]


@pytest.mark.parametrize("ep", ENDPOINTS)
def test_pipeline_endpoint_returns_200(ep):
    status, _ = _curl_status_body(ep)
    assert status == 200, f"{ep} status={status}"


@pytest.mark.parametrize("ep", ENDPOINTS)
def test_pipeline_endpoint_returns_ok_true(ep):
    _, data = _curl_status_body(ep)
    assert data.get("ok") is True, f"{ep} body={data}"


@pytest.mark.parametrize("ep", ENDPOINTS)
def test_pipeline_endpoint_returns_list(ep):
    _, data = _curl_status_body(ep)
    assert isinstance(data.get("data"), list), f"{ep} data type={type(data.get('data'))}"


if __name__ == "__main__":
    pytest.main([__file__, "-v"])