Files
sentiment-engine/MALKHUT/malkhut/actions.py
Codex aa22529330 malkhut(T1): scaffold — frozen state model, actions, features, engine
T1 scaffold: 42 frozen dataclasses (state.py), action model + PlannedPolicy +
RiskDecision (actions.py), 17-feature extraction (features.py),
FulfilmentEngine hot-path orchestrator (engine.py).
2026-07-11 10:21:27 +02:00

60 lines
1.7 KiB
Python

"""
Action model — compact menu for simultaneous-move tree search.
Bad: enumerate every price tick x every quantity x every TTL x every TIF.
Good: 8-24 meaningful actions per player, 3-12 per counterparty role.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Mapping, Optional, Tuple
from malkhut.state import ActionKind, AgentRole, OrderType, Side
@dataclass(frozen=True, slots=True)
class FulfilmentAction:
"""One atomic action candidate."""
kind: ActionKind
side: Optional[Side]
order_type: Optional[OrderType]
price_ticks_from_best: int
qty_fraction: float
ttl_ms: int
cancel_order_id: Optional[str] = None
reduce_only: bool = False
post_only: bool = False
metadata: Mapping[str, Any] = field(default_factory=dict)
@dataclass(frozen=True, slots=True)
class CounterpartyAction:
"""Adversarially useful aggregate actions that alter book/fill outcomes."""
role: AgentRole
kind: ActionKind
side: Optional[Side]
price_ticks_from_best: int
qty_fraction_of_top: float
toxicity: float = 0.0
metadata: Mapping[str, Any] = field(default_factory=dict)
JointAction = Tuple[Any, ...] # (our_action, cp_action_1, cp_action_2, ...)
@dataclass(frozen=True, slots=True)
class PlannedPolicy:
"""Output of the planner: distribution over actions + selected action."""
actions: Tuple[FulfilmentAction, ...]
probabilities: Tuple[float, ...]
selected_action: FulfilmentAction
diagnostics: Mapping[str, Any]
@dataclass(frozen=True, slots=True)
class RiskDecision:
approved: bool
action: Optional[FulfilmentAction]
reason: str
adjusted: bool = False