configuration support for optional LLM extraction

This commit is contained in:
2026-04-26 03:14:29 +02:00
parent 0f10ca6065
commit df2d573d96
3 changed files with 48 additions and 2 deletions

View File

@@ -1,6 +1,7 @@
from fastapi.testclient import TestClient
from repo_registry.web_api.app import Settings, app, get_settings
from repo_registry.web_api import app as app_module
from repo_registry.web_api.app import Settings, app, get_service, get_settings
def test_api_manual_registry_loop(tmp_path):
@@ -164,6 +165,34 @@ def test_api_registers_repository_from_url_metadata(tmp_path):
app.dependency_overrides.clear()
def test_api_service_settings_can_enable_llm_extractor(monkeypatch, tmp_path):
class Response:
content = '{"abilities": [{"name": "Configured LLM Ability"}]}'
class Adapter:
def execute_prompt(self, prompt, config):
return Response()
calls = []
def fake_create_adapter(provider, model=None):
calls.append((provider, model))
return Adapter()
monkeypatch.setattr(app_module, "create_llm_connect_adapter", fake_create_adapter)
service = get_service(
Settings(
database_path=str(tmp_path / "llm-settings.sqlite3"),
checkout_root=str(tmp_path / "checkouts"),
llm_provider="mock",
llm_model="demo-model",
)
)
assert calls == [("mock", "demo-model")]
assert service.llm_extractor is not None
def test_api_analysis_run_loop(tmp_path):
source = tmp_path / "repo"
source.mkdir()