""" Directive compliance engine for long-horizon inventory environment. """ from typing import List, Dict, Optional, Any from dataclasses import dataclass @dataclass class ActiveDirective: id: str day_issued: int type: str text: str params: Dict[str, Any] penalty: float expires: Optional[int] modifies: Optional[str] active: bool = True class DirectiveEngine: def __init__(self, directives_config: List[Dict]): self.all_directives = directives_config self.active: Dict[str, ActiveDirective] = {} self.total_violations = 0 def advance_day(self, current_day: int) -> List[ActiveDirective]: """Issue new directives, expire old ones. Returns newly issued.""" new_directives = [] for d in self.all_directives: if d["day"] == current_day: directive = ActiveDirective( id=d["id"], day_issued=current_day, type=d["type"], text=d["text"], params=d.get("params", {}), penalty=d.get("penalty", 0.0), expires=d.get("expires"), modifies=d.get("modifies"), ) if directive.modifies and directive.modifies in self.active: self.active[directive.modifies].active = False self.active[directive.id] = directive new_directives.append(directive) for d in self.active.values(): if d.active and d.expires is not None and current_day > d.expires: d.active = False return new_directives def check_compliance(self, current_day: int, env_state: Dict, action_data: Dict) -> List[Dict]: """Check active directives. Returns list of violations.""" violations = [] for directive in self.active.values(): if not directive.active: continue if self._check_violated(directive, current_day, env_state, action_data): violations.append({ "id": directive.id, "text": directive.text[:80], "penalty": directive.penalty, }) self.total_violations += 1 return violations def _check_violated(self, d: ActiveDirective, day: int, state: Dict, action: Dict) -> bool: p = d.params if d.type == "min_stock": product = p["product"] min_qty = p["min_qty"] if product == "all": for prod, batches in state["inventory"].items(): if sum(b[0] for b in batches) < min_qty: return True return False batches = state["inventory"].get(product, []) return sum(b[0] for b in batches) < min_qty elif d.type == "shipping_rule": buy_qty = action.get("buy_quantities", {}).get(p["product"], 0) if buy_qty > 0: method = action.get("delivery_methods", {}).get(p["product"], "slow") return method not in p["allowed_methods"] return False elif d.type == "budget_cap": if p["period"] == "daily": return state["daily_spend"] > p["max_amount"] return state["weekly_spend"] > p["max_amount"] elif d.type == "profit_target": if day == p["deadline"]: return state["total_profit"] < p["target"] return False elif d.type == "price_range": mult = action.get("price_multipliers", {}).get(p["product"], 1.0) return mult < p["min_mult"] or mult > p["max_mult"] elif d.type == "order_limit": ordered = sum(1 for v in action.get("buy_quantities", {}).values() if v > 0) if "min_products" in p and ordered > 0: if ordered < p["min_products"]: return True return ordered > p["max_products"] elif d.type == "waste_limit": return state.get("weekly_waste", 0) > p["max_units"] elif d.type == "min_cash": return state["cash"] < p["min_amount"] elif d.type == "force_liquidate": if day == p["deadline"]: batches = state["inventory"].get(p["product"], []) return sum(b[0] for b in batches) > 0 return False elif d.type == "target_stock": if day == p["deadline"]: batches = state["inventory"].get(p["product"], []) return sum(b[0] for b in batches) < p["min_qty"] return False elif d.type == "order_freeze": if day > p["after_day"]: return any(v > 0 for v in action.get("buy_quantities", {}).values()) return False return False def get_active_ids(self) -> List[str]: return [d.id for d in self.active.values() if d.active] def get_active_count(self) -> int: return sum(1 for d in self.active.values() if d.active)