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Other.NF_Hotel-dataanalysis…/tests/test_llm_report.py
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Tirsvad 225d28feb7 Initial project setup: NF Hotel Data Analysis API
- Add project structure with domain-driven design organization
- Implement FastAPI endpoints for hotel booking reports
- Add data cleaning, statistics, and LLM report generation services
- Include configuration management and security utilities
- Add repository layer for bookings and metadata access
- Setup testing framework with conftest.py
- Include example files and documentation
2026-09-21 13:17:49 +08:00

81 lines
2.5 KiB
Python

import httpx
import pytest
from nf_hotel_api.services.llm_report import LLMReportService, LLMServiceError
def test_strip_thinking_removes_think_block():
raw = "<think>internal reasoning that must not leak</think>## Report\nBody text"
assert LLMReportService._strip_thinking(raw) == "## Report\nBody text"
def test_strip_thinking_is_noop_when_no_think_block():
raw = "## Report\nBody text"
assert LLMReportService._strip_thinking(raw) == raw
class _FakeResponse:
def __init__(self, payload: dict, status_code: int = 200) -> None:
self._payload = payload
self.status_code = status_code
def raise_for_status(self) -> None:
if self.status_code >= 400:
request = httpx.Request("POST", "http://fake/chat/completions")
raise httpx.HTTPStatusError(
"error", request=request, response=httpx.Response(self.status_code, request=request)
)
def json(self) -> dict:
return self._payload
class _FakeAsyncClient:
def __init__(self, payload: dict, status_code: int = 200) -> None:
self._payload = payload
self._status_code = status_code
async def __aenter__(self) -> "_FakeAsyncClient":
return self
async def __aexit__(self, *args) -> None:
return None
async def post(self, *args, **kwargs) -> _FakeResponse:
return _FakeResponse(self._payload, self._status_code)
@pytest.mark.asyncio
async def test_generate_report_strips_thinking_and_returns_content(monkeypatch):
payload = {
"choices": [
{"message": {"content": "<think>hidden</think>## Insights\nBook more direct."}}
]
}
monkeypatch.setattr(
"nf_hotel_api.services.llm_report.httpx.AsyncClient",
lambda timeout: _FakeAsyncClient(payload),
)
service = LLMReportService(
base_url="http://fake/v1", api_key="k", model="m", timeout_seconds=1.0
)
report = await service.generate_report({"adults": {"mean": 2}})
assert report == "## Insights\nBook more direct."
@pytest.mark.asyncio
async def test_generate_report_raises_llm_service_error_on_bad_response(monkeypatch):
monkeypatch.setattr(
"nf_hotel_api.services.llm_report.httpx.AsyncClient",
lambda timeout: _FakeAsyncClient({"unexpected": "shape"}),
)
service = LLMReportService(
base_url="http://fake/v1", api_key="k", model="m", timeout_seconds=1.0
)
with pytest.raises(LLMServiceError):
await service.generate_report({"adults": {"mean": 2}})