import sys from types import ModuleType import pytest from fastapi.testclient import TestClient from great_ai import GreatAI def test_keyword_only_inputs_are_validated_and_exposed(isolated_context: None) -> None: @GreatAI.create def predict(*, value: int) -> int: return value trace = predict(value=7) assert trace.output == 7 assert trace.logged_values["arg:value:value"] == 7 with pytest.raises(TypeError): predict(value="wrong") with TestClient(predict.app) as client: assert client.post("/predict", json={"value": 8}).json()["output"] == 8 assert client.post("/predict", json={"value": "wrong"}).status_code == 422 def test_positional_only_inputs_keep_their_bindings(isolated_context: None) -> None: @GreatAI.create def predict(first: str, /, second: int = 7) -> str: return first * second trace = predict("a", 2) assert trace.output == "aa" assert trace.logged_values["arg:first:value"] == "a" assert trace.logged_values["arg:second:value"] == 2 with TestClient(predict.app) as client: response = client.post("/predict", json={"first": "b", "second": 3}) assert response.status_code == 200 assert response.json()["output"] == "bbb" def test_postponed_model_annotations_resolve_in_their_module( isolated_context: None, monkeypatch: pytest.MonkeyPatch ) -> None: module = ModuleType("great_ai_test_annotations") monkeypatch.setitem(sys.modules, module.__name__, module) exec( "from __future__ import annotations\n" "from pydantic import BaseModel\n" "class Payload(BaseModel):\n value: int\n" "def predict(data: Payload) -> int:\n return data.value\n", module.__dict__, ) service = GreatAI.create(module.predict) with pytest.raises(TypeError): service("wrong") with TestClient(service.app) as client: response = client.post("/predict", json={"data": {"value": 7}}) assert response.status_code == 200 assert response.json()["output"] == 7 assert client.get("/openapi.json").status_code == 200