optigami / tests /test_openenv_adapter.py
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from openenv_runtime.environment import OpenEnvOrigamiEnvironment
from openenv_runtime.models import OrigamiAction, OrigamiFold, OrigamiObservation
def test_openenv_reset_returns_observation():
env = OpenEnvOrigamiEnvironment(default_mode="step", max_steps=8)
obs = env.reset(target_name="half_horizontal", episode_id="ep-1")
assert isinstance(obs, OrigamiObservation)
assert obs.done is False
assert obs.target_name == "half_horizontal"
assert "prompt" in obs.model_fields_set
def test_openenv_step_single_fold_completes_simple_target():
env = OpenEnvOrigamiEnvironment(default_mode="step", max_steps=8)
env.reset(target_name="half_horizontal")
action = OrigamiAction(
mode="single",
fold=OrigamiFold(
from_point=[0.0, 0.5],
to_point=[1.0, 0.5],
assignment="V",
instruction="Valley fold along horizontal center line",
),
)
obs = env.step(action)
assert obs.reward is not None
assert obs.reward > 1.0
assert obs.done is True
assert obs.reward_components.get("completion", 0.0) >= 10.0
def test_openenv_step_sequence_mode_executes_completion():
env = OpenEnvOrigamiEnvironment(default_mode="step", max_steps=8)
env.reset(target_name="half_vertical")
completion = (
'<folds>[{"instruction": "Mountain fold vertical center", '
'"from": [0.5, 0.0], "to": [0.5, 1.0], "assignment": "M"}]</folds>'
)
obs = env.step(OrigamiAction(mode="sequence", completion=completion))
assert obs.done is True
assert obs.reward is not None
assert obs.reward > 1.0
def test_openenv_state_contains_targets_and_step_count():
env = OpenEnvOrigamiEnvironment(default_mode="step", max_steps=8)
env.reset(target_name="half_horizontal", episode_id="ep-state")
state = env.state
assert state.episode_id == "ep-state"
assert state.step_count == 0
assert "half_horizontal" in state.available_targets