File size: 6,413 Bytes
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Tests for the /classify endpoint with fullText schema & chunk prediction.
"""
import pytest
from unittest.mock import AsyncMock, patch
from httpx import AsyncClient, ASGITransport
from app.main import app
from app.ml.serving.registry import DummyModel
@pytest.fixture
def auth_headers():
"""Valid internal service auth headers."""
return {"X-Internal-Token": "test-secret"}
@pytest.mark.asyncio
async def test_classify_returns_prediction(auth_headers):
"""POST /classify should return a valid ClassifyResponse for fullText."""
dummy = DummyModel()
with patch(
"app.api.routes.classify.load_active_model",
new_callable=AsyncMock,
return_value=dummy,
):
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post(
"/analyze-injection",
json={
"documentId": "doc-123",
"fullText": "This is a normal corporate document with standard operational content.",
},
headers=auth_headers,
)
assert response.status_code == 200
data = response.json()
assert data["label"] in ("safe", "suspicious", "injection")
assert 0.0 <= data["confidence"] <= 1.0
@pytest.mark.asyncio
async def test_classify_without_document_id(auth_headers):
"""POST /analyze-injection should work even if documentId is omitted."""
dummy = DummyModel()
with patch(
"app.api.routes.classify.load_active_model",
new_callable=AsyncMock,
return_value=dummy,
):
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post(
"/analyze-injection",
json={
"fullText": "This is a normal corporate document with standard operational content.",
},
headers=auth_headers,
)
assert response.status_code == 200
data = response.json()
assert data["label"] in ("safe", "suspicious", "injection")
assert 0.0 <= data["confidence"] <= 1.0
@pytest.mark.skip(reason="Token check temporarily disabled for local dev testing")
@pytest.mark.asyncio
async def test_classify_rejects_missing_auth():
"""POST /classify without X-Internal-Token should return 401 or 422."""
dummy = DummyModel()
with patch(
"app.api.routes.classify.load_active_model",
new_callable=AsyncMock,
return_value=dummy,
):
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post(
"/analyze-injection",
json={
"documentId": "doc-123",
"fullText": "Sample text for testing authentication validation.",
},
)
assert response.status_code in (401, 422)
@pytest.mark.skip(reason="Token check temporarily disabled for local dev testing")
@pytest.mark.asyncio
async def test_classify_rejects_wrong_token():
"""POST /classify with wrong token should return 401."""
dummy = DummyModel()
with patch(
"app.api.routes.classify.load_active_model",
new_callable=AsyncMock,
return_value=dummy,
):
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post(
"/analyze-injection",
json={
"documentId": "doc-123",
"fullText": "Sample text for testing invalid token handling.",
},
headers={"X-Internal-Token": "wrong-secret"},
)
assert response.status_code == 401
@pytest.mark.asyncio
async def test_classify_rejects_insufficient_text(auth_headers):
"""Verify that fullText under 5 words raises 503 insufficient_text."""
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post(
"/analyze-injection",
json={
"documentId": "doc-short",
"fullText": "One two three four", # 4 words
},
headers=auth_headers,
)
assert response.status_code == 503
assert response.json()["message"] == "insufficient_text"
@pytest.mark.asyncio
async def test_classify_rejects_extra_legacy_fields(auth_headers):
"""Verify that extra legacy fields (text, ocrText, hiddenText) are rejected (422)."""
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post(
"/analyze-injection",
json={
"documentId": "doc-legacy",
"fullText": "This is valid text containing enough words for test.",
"text": "Legacy text field that should be forbidden",
},
headers=auth_headers,
)
assert response.status_code == 422
@pytest.mark.asyncio
async def test_classify_passes_raw_full_text(auth_headers):
"""Verify raw fullText is passed directly to run_prediction."""
dummy = DummyModel()
captured_texts = []
def capturing_run_prediction(model, text):
captured_texts.append(text)
return ("safe", 0.99)
raw_input_text = " Hello WORLD\nLine two of document.\nLine three of document text."
with patch(
"app.api.routes.classify.load_active_model",
new_callable=AsyncMock,
return_value=dummy,
), patch(
"app.api.routes.classify.run_prediction",
side_effect=capturing_run_prediction,
):
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as client:
res = await client.post(
"/analyze-injection",
json={
"documentId": "doc-raw",
"fullText": raw_input_text,
},
headers=auth_headers,
)
assert res.status_code == 200
assert captured_texts[0] == raw_input_text
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