Spaces:
Sleeping
Sleeping
| from env.core import SupplyChainEnv | |
| from env.schemas import SupplyChainAction, PurchaseOrder | |
| def run_test(): | |
| # 1. Initialize the environment | |
| env = SupplyChainEnv() | |
| # 2. Reset to start the episode (Loading Task 1) | |
| print("=== INITIAL STATE (DAY 1) ===") | |
| initial_obs = env.reset("task_01_easy") | |
| # model_dump_json() is a Pydantic method that makes the output look pretty | |
| print(initial_obs.model_dump_json(indent=2)) | |
| # 3. Create a dummy action: Let's order 15 laptops standard delivery | |
| dummy_action = SupplyChainAction( | |
| orders=[ | |
| PurchaseOrder( | |
| product_id="SKU-LAPTOP", | |
| quantity=15, | |
| expedite_shipping=False | |
| ) | |
| ] | |
| ) | |
| # 4. Take a step into Day 2 | |
| print("\n=== AFTER STEPPING (DAY 2) ===") | |
| obs = env.step(dummy_action) | |
| print(f"Daily Net Cash Flow (Reward): ${obs.reward}") | |
| print(f"Is Episode Done?: {obs.done}") | |
| print("\nNew State:") | |
| print(obs.model_dump_json(indent=2)) | |
| if __name__ == "__main__": | |
| run_test() |