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from fastapi.testclient import TestClient
import pytest
from simplebayes.api.app import create_app
def test_health_and_ready_endpoints():
app = create_app()
client = TestClient(app)
assert client.get("/healthz").json() == {"status": "ok"}
assert client.get("/readyz").json() == {"status": "ready"}
def test_readyz_returns_503_when_not_ready():
app = create_app()
app.state.readiness.mark_not_ready()
client = TestClient(app)
response = client.get("/readyz")
assert response.status_code == 503
assert response.json() == {"status": "not ready"}
def test_lifespan_marks_not_ready_on_shutdown():
app = create_app()
with TestClient(app) as client:
assert client.get("/readyz").status_code == 200
assert app.state.readiness.is_ready is True
assert app.state.readiness.is_ready is False
def test_train_info_score_classify_and_flush_flow():
client = TestClient(create_app())
headers = {"Content-Type": "text/plain"}
train_response = client.post("/train/spam", content="buy now limited offer", headers=headers)
assert train_response.status_code == 200
assert train_response.json()["success"] is True
info_response = client.get("/info")
assert info_response.status_code == 200
assert "spam" in info_response.json()["categories"]
score_response = client.post("/score", content="limited offer", headers=headers)
assert score_response.status_code == 200
assert "spam" in score_response.json()
classify_response = client.post("/classify", content="limited offer", headers=headers)
assert classify_response.status_code == 200
assert classify_response.json()["category"] == "spam"
untrain_response = client.post("/untrain/spam", content="buy now limited offer", headers=headers)
assert untrain_response.status_code == 200
assert untrain_response.json()["success"] is True
flush_response = client.post("/flush", content="", headers=headers)
assert flush_response.status_code == 200
assert flush_response.json() == {"success": True, "categories": {}}
def test_invalid_category_route_returns_422():
client = TestClient(create_app())
response = client.post(
"/train/bad route",
content="sample",
headers={"Content-Type": "text/plain"},
)
assert response.status_code == 422
def test_wrong_method_returns_405():
client = TestClient(create_app())
response = client.get("/classify")
assert response.status_code == 405
def test_auth_required_for_non_probe_endpoints():
client = TestClient(create_app(auth_token="secret-token"))
unauthorized = client.get("/info")
assert unauthorized.status_code == 401
assert unauthorized.json() == {"error": "unauthorized"}
assert unauthorized.headers["www-authenticate"] == 'Bearer realm="simplebayes"'
wrong_token = client.get("/info", headers={"Authorization": "Bearer wrong-token"})
assert wrong_token.status_code == 401
assert wrong_token.json() == {"error": "unauthorized"}
authorized = client.get("/info", headers={"Authorization": "Bearer secret-token"})
assert authorized.status_code == 200
def test_probes_remain_unauthenticated_with_auth_enabled():
client = TestClient(create_app(auth_token="secret-token"))
assert client.get("/healthz").status_code == 200
assert client.get("/readyz").status_code == 200
def test_payload_too_large_returns_413():
client = TestClient(create_app())
too_large = "x" * (1024 * 1024 + 1)
response = client.post(
"/score",
content=too_large,
headers={"Content-Type": "text/plain"},
)
assert response.status_code == 413
assert response.json() == {"error": "request body too large"}
def test_classify_returns_null_category_when_untrained():
client = TestClient(create_app())
response = client.post(
"/classify",
content="anything",
headers={"Content-Type": "text/plain"},
)
assert response.status_code == 200
assert response.json() == {"category": None, "score": 0.0}
@pytest.mark.parametrize("path", ["/train/spam", "/classify", "/score"])
def test_invalid_utf8_payload_returns_400(path):
client = TestClient(create_app())
response = client.post(
path,
content=b"\xff\xfe\xfa",
headers={"Content-Type": "text/plain"},
)
assert response.status_code == 400
assert response.json() == {"error": "invalid utf-8 payload"}
@pytest.mark.parametrize(
"method,path",
[
("post", "/train/spam"),
("post", "/untrain/spam"),
("post", "/classify"),
("post", "/score"),
("post", "/flush"),
],
)
def test_auth_rejected_for_each_mutating_endpoint(method, path):
client = TestClient(create_app(auth_token="secret-token"))
response = getattr(client, method)(
path,
content="body",
headers={"Content-Type": "text/plain"},
)
assert response.status_code == 401
assert response.json() == {"error": "unauthorized"}
def test_auth_allows_mutating_endpoints_with_valid_token():
client = TestClient(create_app(auth_token="secret-token"))
headers = {
"Authorization": "Bearer secret-token",
"Content-Type": "text/plain",
}
train_response = client.post("/train/spam", content="buy now limited offer", headers=headers)
assert train_response.status_code == 200
assert train_response.json()["success"] is True
score_response = client.post("/score", content="limited offer", headers=headers)
assert score_response.status_code == 200
assert "spam" in score_response.json()
classify_response = client.post("/classify", content="limited offer", headers=headers)
assert classify_response.status_code == 200
assert classify_response.json()["category"] == "spam"
untrain_response = client.post("/untrain/spam", content="buy now limited offer", headers=headers)
assert untrain_response.status_code == 200
assert untrain_response.json()["success"] is True
flush_response = client.post("/flush", content="", headers=headers)
assert flush_response.status_code == 200
assert flush_response.json() == {"success": True, "categories": {}}
@pytest.mark.parametrize(
"auth_header",
[
"Token secret-token",
"Bearer",
"Bearer ",
"Basic c2VjcmV0LXRva2Vu",
],
)
def test_auth_malformed_headers_are_rejected(auth_header):
client = TestClient(create_app(auth_token="secret-token"))
response = client.get("/info", headers={"Authorization": auth_header})
assert response.status_code == 401
assert response.json() == {"error": "unauthorized"}
assert response.headers["www-authenticate"] == 'Bearer realm="simplebayes"'
@pytest.mark.parametrize(
"path",
[
"/train/spam",
"/untrain/spam",
"/classify",
"/score",
"/flush",
],
)
def test_payload_exactly_one_mebibyte_is_accepted(path):
client = TestClient(create_app())
boundary_payload = "x" * (1024 * 1024)
response = client.post(
path,
content=boundary_payload,
headers={"Content-Type": "text/plain"},
)
assert response.status_code == 200
@pytest.mark.parametrize(
"path",
[
"/train/spam",
"/untrain/spam",
"/classify",
"/score",
"/flush",
],
)
def test_payload_too_large_for_each_text_endpoint(path):
client = TestClient(create_app())
too_large = "x" * (1024 * 1024 + 1)
response = client.post(
path,
content=too_large,
headers={"Content-Type": "text/plain"},
)
assert response.status_code == 413
assert response.json() == {"error": "request body too large"}
def test_create_app_with_language_spanish():
"""Spanish stemmer produces different tokens than English (e.g. comprar vs buy)."""
app = create_app(language="spanish")
client = TestClient(app)
headers = {"Content-Type": "text/plain"}
client.post("/train/spam", content="comprar ahora oferta limitada", headers=headers)
info = client.get("/info").json()
assert "spam" in info["categories"]
assert info["categories"]["spam"]["tokenTally"] > 0
score = client.post("/score", content="comprar oferta", headers=headers).json()
assert "spam" in score
def test_create_app_with_remove_stop_words():
"""Stop words like 'the' and 'is' are filtered when remove_stop_words=True."""
app = create_app(remove_stop_words=True)
client = TestClient(app)
headers = {"Content-Type": "text/plain"}
client.post("/train/spam", content="the buy now the offer", headers=headers)
client.post("/train/ham", content="the meeting is tomorrow", headers=headers)
info = client.get("/info").json()
assert "spam" in info["categories"]
assert "ham" in info["categories"]
classify = client.post("/classify", content="the offer", headers=headers).json()
assert classify["category"] == "spam"
def test_verbose_mode_logs_to_stderr(capsys):
app = create_app(verbose=True)
client = TestClient(app)
headers = {"Content-Type": "text/plain"}
client.post("/train/spam", content="buy now", headers=headers)
captured = capsys.readouterr()
assert "[simplebayes]" in captured.err
assert "POST" in captured.err or "train" in captured.err
assert "spam" in captured.err
assert "tokens=" in captured.err
def test_verbose_mode_off_no_output(capsys):
app = create_app(verbose=False)
client = TestClient(app)
headers = {"Content-Type": "text/plain"}
client.post("/train/spam", content="buy now", headers=headers)
captured = capsys.readouterr()
assert "[simplebayes]" not in captured.err
def test_verbose_middleware_content_length_branch(capsys):
"""Hit the Content-Length branch: GET has no body, POST has Content-Length."""
app = create_app(verbose=True)
client = TestClient(app)
client.get("/healthz")
captured = capsys.readouterr()
assert "[simplebayes]" in captured.err
assert "GET" in captured.err
def test_verbose_middleware_exception_branch(capsys):
"""Hit the exception branch by simulating a route that raises."""
app = create_app(verbose=True)
async def raise_handler(request):
raise RuntimeError("test")
app.add_route("/raise", raise_handler, methods=["GET"])
client = TestClient(app)
with pytest.raises(RuntimeError):
client.get("/raise")
captured = capsys.readouterr()
assert "[simplebayes]" in captured.err
assert "(exception)" in captured.err
def test_verbose_middleware_large_response_body(capsys):
"""Hit the body truncation branch when response > 500 chars."""
app = create_app(verbose=True)
client = TestClient(app)
headers = {"Content-Type": "text/plain"}
for i in range(25):
client.post(f"/train/cat{i}", content=f"word{i} x y z", headers=headers)
client.get("/info")
captured = capsys.readouterr()
assert "[simplebayes]" in captured.err
assert "..." in captured.err
def test_verbose_format_tokens_truncation(capsys):
"""Hit _format_tokens truncation when > 20 tokens."""
app = create_app(verbose=True)
client = TestClient(app)
headers = {"Content-Type": "text/plain"}
long_text = " ".join(f"word{i}" for i in range(25))
client.post("/train/spam", content=long_text, headers=headers)
captured = capsys.readouterr()
assert "[simplebayes]" in captured.err
assert "..." in captured.err
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