cascade-containment / client.py
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from openenv.core.env_client import EnvClient
from openenv.core.client_types import StepResult
from openenv.core.env_server.types import State
from models import ContainmentAction, CityObservation
class CascadeContainmentEnv(EnvClient[ContainmentAction, CityObservation, State]):
"""
Client for the Cascade Containment environment.
Async:
async with CascadeContainmentEnv(base_url="http://localhost:7860") as env:
obs = await env.reset("easy")
result = await env.step(ContainmentAction(action_type="allocate", district_id=0))
Sync:
with CascadeContainmentEnv(base_url="http://localhost:7860").sync() as env:
obs = env.reset("easy")
result = env.step(ContainmentAction(action_type="allocate", district_id=0))
"""
def _step_payload(self, action: ContainmentAction) -> dict:
return {
"action_type": action.action_type,
"district_id": action.district_id,
}
def _parse_result(self, result: dict) -> StepResult:
observation = CityObservation(**result["observation"])
return StepResult(
observation = observation,
reward = result.get("reward", 0.0),
done = result.get("done", False),
)
def _parse_state(self, result: dict) -> State:
return State(
episode_id = result.get("episode_id", ""),
step_count = result.get("step_count", 0),
)
if __name__ == "__main__":
# Quick smoke test — run directly to verify the client connects and steps correctly.
with CascadeContainmentEnv(base_url="http://localhost:7860").sync() as env:
obs = env.reset()
print(f"✓ Connected")
print(f" Districts: {len(obs.observation.districts)}")
print(f" Resources: {obs.observation.available_resources}")
print(f" Max steps: {obs.observation.max_steps}")
result = env.step(ContainmentAction(action_type="allocate", district_id=0))
print(f" Step reward: {result.reward}")
print(f"✓ End-to-end OK")