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4.72 kB
| # Copyright (c) Meta Platforms, Inc. and affiliates. | |
| # All rights reserved. | |
| # | |
| # This source code is licensed under the BSD-style license found in the | |
| # LICENSE file in the root directory of this source tree. | |
| """Store Manager Environment Client.""" | |
| from typing import Any, Dict | |
| from openenv.core import EnvClient | |
| from openenv.core.client_types import StepResult | |
| from .models import ( | |
| ProductState, | |
| StoremanagerAction, | |
| StoremanagerObservation, | |
| StoremanagerState, | |
| ) | |
| class StoremanagerEnv( | |
| EnvClient[StoremanagerAction, StoremanagerObservation, StoremanagerState] | |
| ): | |
| """ | |
| Client for the Store Manager Environment. | |
| Maintains a persistent WebSocket connection to the environment server, | |
| enabling efficient multi-step interactions with lower latency. | |
| Example: | |
| >>> with StoremanagerEnv(base_url="http://localhost:8000") as env: | |
| ... result = env.reset() | |
| ... print([p.name for p in result.observation.inventory]) | |
| ... | |
| ... action = StoremanagerAction(product_id=0, discount_pct=20) | |
| ... result = env.step(action) | |
| ... print(f"Reward: {result.reward:.2f}") | |
| Example with Docker: | |
| >>> client = StoremanagerEnv.from_docker_image("StoreManager-env:latest") | |
| >>> try: | |
| ... result = client.reset() | |
| ... result = client.step(StoremanagerAction(product_id=0, discount_pct=10)) | |
| ... finally: | |
| ... client.close() | |
| """ | |
| def _step_payload(self, action: StoremanagerAction) -> Dict: | |
| """Convert StoremanagerAction to JSON payload for the step message.""" | |
| payload: Dict = { | |
| "action_type": action.action_type, | |
| "product_id": action.product_id, | |
| "discount_pct": action.discount_pct, | |
| } | |
| if action.restock_quantity is not None: | |
| payload["restock_quantity"] = action.restock_quantity | |
| if action.target_zone is not None: | |
| payload["target_zone"] = action.target_zone | |
| return payload | |
| def _parse_result(self, payload: Dict) -> StepResult[StoremanagerObservation]: | |
| """Parse server response into StepResult[StoremanagerObservation].""" | |
| obs_data = payload.get("observation", {}) | |
| raw_inventory = obs_data.get("inventory", []) | |
| inventory = [ProductState(**p) for p in raw_inventory if isinstance(p, dict)] | |
| observation = StoremanagerObservation( | |
| inventory=inventory, | |
| current_step=obs_data.get("current_step", 0), | |
| max_steps=obs_data.get("max_steps", 30), | |
| steps_remaining=obs_data.get("steps_remaining", 0), | |
| cumulative_profit=obs_data.get("cumulative_profit", 0.0), | |
| last_step_profit=obs_data.get("last_step_profit", 0.0), | |
| last_step_units_sold=obs_data.get("last_step_units_sold", 0), | |
| last_expired_products=obs_data.get("last_expired_products", []), | |
| num_customers_per_step=obs_data.get("num_customers_per_step", 10), | |
| error=obs_data.get("error"), | |
| zone_capacity=obs_data.get("zone_capacity", {1: 2, 2: 4, 3: 99}), | |
| zone_occupancy=obs_data.get("zone_occupancy", {1: 0, 2: 0, 3: 0}), | |
| zone_multipliers=obs_data.get("zone_multipliers", {1: 1.5, 2: 1.0, 3: 0.6}), | |
| holding_cost_this_step=obs_data.get("holding_cost_this_step", 0.0), | |
| placement_cost_this_step=obs_data.get("placement_cost_this_step", 0.0), | |
| restock_cost_this_step=obs_data.get("restock_cost_this_step", 0.0), | |
| unjustified_discount_penalty=obs_data.get("unjustified_discount_penalty", 0.0), | |
| done=payload.get("done", False), | |
| reward=payload.get("reward"), | |
| metadata=obs_data.get("metadata", {}), | |
| ) | |
| return StepResult( | |
| observation=observation, | |
| reward=payload.get("reward"), | |
| done=payload.get("done", False), | |
| ) | |
| def _parse_state(self, payload: Dict[str, Any]) -> StoremanagerState: | |
| """Parse state endpoint response into StoremanagerState.""" | |
| return StoremanagerState( | |
| episode_id=payload.get("episode_id"), | |
| step_count=payload.get("step_count", 0), | |
| num_products=payload.get("num_products", 8), | |
| max_steps=payload.get("max_steps", 30), | |
| cumulative_profit=payload.get("cumulative_profit", 0.0), | |
| last_reward=payload.get("last_reward", 0.0), | |
| active_product_count=payload.get("active_product_count", 0), | |
| inventory_snapshot=payload.get("inventory_snapshot", []), | |
| ) | |