from itertools import chain
from typing import Callable

import gymnasium as gym
import pytest
from dm_control import suite, manipulation

import fancy_gym
from test.utils import run_env, run_env_determinism

# SUITE_IDS = [f'dmc:{env}-{task}' for env, task in suite.ALL_TASKS if env != "lqr"]
# MANIPULATION_IDS = [f'dmc:manipulation-{task}' for task in manipulation.ALL if task.endswith('_features')]
DM_CONTROL_IDS = [spec.id for spec in gym.envs.registry.values() if
                  not isinstance(spec.entry_point, Callable) and spec.entry_point.startswith('dm_control/')]
DMC_MP_IDS = chain(*fancy_gym.ALL_DMC_MOVEMENT_PRIMITIVE_ENVIRONMENTS.values())
SEED = 1


@pytest.mark.parametrize('env_id', DM_CONTROL_IDS)
def test_step_dm_control_functionality(env_id: str):
    """Tests that suite step environments run without errors using random actions."""
    run_env(env_id)


@pytest.mark.parametrize('env_id', DM_CONTROL_IDS)
def test_step_dm_control_determinism(env_id: str):
    """Tests that for step environments identical seeds produce identical trajectories."""
    run_env_determinism(env_id, SEED)


# @pytest.mark.parametrize('env_id', MANIPULATION_IDS)
# def test_step_manipulation_functionality(env_id: str):
#     """Tests that manipulation step environments run without errors using random actions."""
#     run_env(env_id)
#
#
# @pytest.mark.parametrize('env_id', MANIPULATION_IDS)
# def test_step_manipulation_determinism(env_id: str):
#     """Tests that for step environments identical seeds produce identical trajectories."""
#     run_env_determinism(env_id, SEED)


@pytest.mark.parametrize('env_id', DMC_MP_IDS)
def test_bb_dmc_functionality(env_id: str):
    """Tests that black box environments run without errors using random actions."""
    run_env(env_id)


@pytest.mark.parametrize('env_id', DMC_MP_IDS)
def test_bb_dmc_determinism(env_id: str):
    """Tests that for black box environment identical seeds produce identical trajectories."""
    run_env_determinism(env_id, SEED)