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fda8fb3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 | from __future__ import annotations
from fastapi.testclient import TestClient
import pytest
from app.api.main import app
from app.core.schemas import (
AnalysisResult,
CurrentUserResponse,
ModelCapability,
RuntimeMetadata,
SessionResponse,
ValidationMetadata,
)
@pytest.fixture(autouse=True)
def auth_override(monkeypatch):
monkeypatch.setattr(
"app.api.main.require_user",
lambda _request, _settings: type(
"User",
(),
{"id": "user-123", "display_name": "Test User", "authenticated": True},
)(),
)
monkeypatch.setattr(
"app.api.main.get_optional_user",
lambda _request: type(
"User",
(),
{
"id": "user-123",
"username": "tester",
"display_name": "Test User",
"avatar_url": "https://example.com/avatar.png",
"authenticated": True,
},
)(),
)
def test_healthz_returns_runtime_flags() -> None:
with TestClient(app) as client:
response = client.get("/healthz")
assert response.status_code == 200
payload = response.json()
assert payload["status"] == "ok"
assert "cuda_available" in payload
assert "dtype_preference" in payload
def test_analyze_delegates_to_runtime(monkeypatch) -> None:
def fake_compute_attribution_analysis(**_kwargs):
return AnalysisResult(
question="Why?",
model_name="fake-model",
answer="Because.",
raw_trace_text="<think>Alpha.</think>",
normalized_trace_text="Alpha.",
sentences=["Alpha."],
sentence_token_ranges=[(0, 1)],
suppression_matrix=[[0.0]],
raw_suppression_matrix=[[0.0]],
outgoing_importance=[0.0],
incoming_importance=[0.0],
top_edges=[],
runtime_metadata=RuntimeMetadata(
device="cpu",
capability=ModelCapability(supports_attribution=True, layer_count=2, attention_impl="eager"),
),
validation_metadata=ValidationMetadata(enabled=False, top_k=0),
)
monkeypatch.setattr("app.api.main.compute_attribution_analysis", fake_compute_attribution_analysis)
with TestClient(app) as client:
response = client.post(
"/api/analyze",
json={
"question": "Why?",
"max_new_tokens": 8,
"validate_top_k": 0,
},
)
assert response.status_code == 200
payload = response.json()
assert payload["answer"] == "Because."
assert payload["model_name"] == "fake-model"
def test_me_reports_current_user() -> None:
with TestClient(app) as client:
response = client.get("/api/me")
assert response.status_code == 200
payload = CurrentUserResponse.model_validate(response.json())
assert payload.authenticated is True
assert payload.username == "tester"
def test_root_serves_frontend() -> None:
with TestClient(app) as client:
response = client.get("/")
assert response.status_code == 200
assert "Thought Anchors" in response.text
def test_session_routes_use_service(monkeypatch) -> None:
class FakeSessionService:
def __init__(self) -> None:
self.payload = {
"id": "session-123",
"status": "completed",
"question": "Why?",
"model_name": "fake-model",
"error": None,
"created_at": "2026-04-06T00:00:00+00:00",
"updated_at": "2026-04-06T00:00:05+00:00",
"answer": "Because.",
"raw_trace_text": "<think>Alpha.</think>",
"normalized_trace_text": "Alpha.",
"sentences": ["Alpha."],
"generation_metadata": {"max_new_tokens": 8},
"analysis": AnalysisResult(
question="Why?",
model_name="fake-model",
answer="Because.",
raw_trace_text="<think>Alpha.</think>",
normalized_trace_text="Alpha.",
sentences=["Alpha."],
sentence_token_ranges=[(0, 1)],
suppression_matrix=[[0.0]],
raw_suppression_matrix=[[0.0]],
outgoing_importance=[0.0],
incoming_importance=[0.0],
top_edges=[],
runtime_metadata=RuntimeMetadata(
device="cpu",
capability=ModelCapability(
supports_attribution=True,
layer_count=2,
attention_impl="eager",
),
),
validation_metadata=ValidationMetadata(enabled=False, top_k=0),
).model_dump(),
}
def create_session(self, _request, **_kwargs):
return SessionResponse.model_validate(self.payload)
def get_session_payload(self, _session_id: str, **_kwargs):
return self.payload
def start_analysis(self, _session_id: str, **_kwargs):
return SessionResponse.model_validate(self.payload)
def list_sessions(self, _owner_id: str, **_kwargs):
return [self.payload]
def get_analysis_result(self, _session_id: str, **_kwargs):
return AnalysisResult.model_validate(self.payload["analysis"])
monkeypatch.setattr("app.api.main.get_session_service", lambda: FakeSessionService())
with TestClient(app) as client:
listing = client.get("/api/sessions")
created = client.post("/api/sessions", json={"question": "Why?"})
session = client.get("/api/sessions/session-123")
result = client.get("/api/sessions/session-123/result")
exported_json = client.get("/api/sessions/session-123/export.json")
exported_csv = client.get("/api/sessions/session-123/export.csv")
assert listing.status_code == 200
assert created.status_code == 200
assert session.status_code == 200
assert result.status_code == 200
assert exported_json.status_code == 200
assert exported_csv.status_code == 200
assert created.json()["id"] == "session-123"
assert session.json()["answer"] == "Because."
assert result.json()["analysis"]["model_name"] == "fake-model"
|