great-ai/tests/test_argument_regressions.py

34 lines
1.2 KiB
Python

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"