from typing import Any import optuna from optuna.trial import TrialState from optuna_dashboard._app import create_app import pytest from .wsgi_client import send_request def test_download_csv_no_trial() -> None: def objective(trial: optuna.Trial) -> float: x = trial.suggest_float("x", -100, 100) y = trial.suggest_categorical("y", [-1, 0, 1]) return x**2 + y storage = optuna.storages.InMemoryStorage() study = optuna.create_study(storage=storage) study.optimize(objective, n_trials=0) app = create_app(storage) status, _, body = send_request( app, "/csv/0", "GET", content_type="application/json", ) assert status == 200 def test_download_csv_all_waiting() -> None: storage = optuna.storages.InMemoryStorage() study = optuna.create_study(storage=storage) study.add_trial(optuna.trial.create_trial(state=TrialState.WAITING)) app = create_app(storage) status, _, body = send_request( app, "/csv/0", "GET", content_type="application/json", ) assert status == 200 def test_download_csv_all_running() -> None: storage = optuna.storages.InMemoryStorage() study = optuna.create_study(storage=storage) study.add_trial(optuna.trial.create_trial(state=TrialState.RUNNING)) app = create_app(storage) status, _, body = send_request( app, "/csv/0", "GET", content_type="application/json", ) assert status == 200 @pytest.mark.parametrize("id", [0, 1]) def test_download_csv_fail(id: int) -> None: def objective(trial: optuna.Trial) -> float: x = trial.suggest_float("x", -100, 100) y = trial.suggest_categorical("y", [-1, 0, 1]) return x**2 + y storage = optuna.storages.InMemoryStorage() study = optuna.create_study(storage=storage) optuna.logging.set_verbosity(optuna.logging.ERROR) study.optimize(objective, n_trials=10) app = create_app(storage) status, _, body = send_request( app, f"/csv/{id}", "GET", content_type="application/json", ) assert status == (404 if id != 0 else 200) @pytest.mark.parametrize("is_multi_obj", [True, False]) def test_download_csv_multi_obj(is_multi_obj: bool) -> None: def objective(trial: optuna.Trial) -> Any: x = trial.suggest_float("x", -100, 100) y = trial.suggest_categorical("y", [-1, 0, 1]) if is_multi_obj: return x**2, y return x**2 + y storage = optuna.storages.InMemoryStorage() if is_multi_obj: study = optuna.create_study(storage=storage, directions=["minimize", "minimize"]) else: study = optuna.create_study(storage=storage) optuna.logging.set_verbosity(optuna.logging.ERROR) study.optimize(objective, n_trials=10) app = create_app(storage) status, _, body = send_request( app, "/csv/0", "GET", content_type="application/json", ) assert status == 200 def test_download_csv_user_attr() -> None: def objective(trial: optuna.Trial) -> float: x = trial.suggest_float("x", -100, 100) y = trial.suggest_categorical("y", [-1, 0, 1]) trial.set_user_attr("abs_y", abs(y)) return x**2 + y storage = optuna.storages.InMemoryStorage() study = optuna.create_study(storage=storage) optuna.logging.set_verbosity(optuna.logging.ERROR) study.optimize(objective, n_trials=10) app = create_app(storage) status, _, body = send_request( app, "/csv/0", "GET", content_type="application/json", ) assert status == 200