from __future__ import annotations import json from openenv.core.env_server import Action, Observation, State from typing import Literal, Dict, List, Optional from pydantic import field_validator class InventoryAction(Action): buy_quantities: Dict[str, int] = {} delivery_methods: Dict[str, Literal["slow", "medium", "fast"]] = {} liquidate: Dict[str, int] = {} price_multipliers: Dict[str, float] = {} notes_to_self: str = "" weekly_plan: Optional[str] = None take_loan: bool = False @field_validator("buy_quantities", "liquidate", "price_multipliers", "delivery_methods", mode="before") @classmethod def parse_dict_strings(cls, v): if isinstance(v, str): try: return json.loads(v) except (json.JSONDecodeError, ValueError): return {} return v if v is not None else {} @field_validator("notes_to_self", mode="before") @classmethod def parse_notes(cls, v): return str(v) if v else "" class InventoryObservation(Observation): current_day: int total_days: int total_cash: float day_profit: float total_profit: float demand_today: Dict[str, int] updated_inventory: Dict[str, List[List[Optional[int]]]] remaining_capacity: Dict[str, int] updated_events: Dict[str, int] updated_deliveries: List[Dict[str, List[int]]] new_directives: List[Dict] = [] active_directive_ids: List[str] = [] directive_violations_last_step: List[Dict] = [] milestones: Dict[str, Dict] = {} agent_notes: str = "" agent_weekly_plan: str = "" loan_balance: float = 0.0 loans_taken: int = 0 loans_remaining: int = 2 class InventoryState(State): episode_id: str current_day: int total_days: int = 90 cash: float total_profit: float = 0.0 inventory: Dict[str, int] = {} active_directives: int = 0 total_violations: int = 0 milestones_achieved: int = 0 milestones_total: int = 0 loan_balance: float = 0.0 loans_taken: int = 0