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osint_core.scheduler
====================
Latency-conscious scheduler for the Enterprise Drift-Aware OSINT Control Fabric.
The scheduler allocates time, trust, and authority. It does not execute actions.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from enum import Enum
from typing import Literal
RiskLabel = Literal["low", "medium", "high", "critical"]
TrustState = Literal["normal", "degraded", "suspicious", "contested", "unsafe"]
RouteName = Literal["FAST", "DELIBERATIVE", "CONTAINMENT", "FAIL_CLOSED"]
class ScheduleReason(str, Enum):
FAST_PATH_AVAILABLE = "fast_path_available"
DELIBERATIVE_PATH_AVAILABLE = "deliberative_path_available"
DEADLINE_TOO_TIGHT = "deadline_too_tight"
TRUST_STATE_DEGRADED = "trust_state_degraded"
SHORTCUT_DEBT_TOO_HIGH = "shortcut_debt_too_high"
INVARIANT_VIOLATION = "invariant_violation"
NO_SAFE_ACTION_FITS = "no_safe_action_fits"
MISSING_ROLLBACK = "missing_rollback"
LOW_CONFIDENCE = "low_confidence"
@dataclass(frozen=True)
class DecisionPacket:
intent_id: str
action: str
risk_label: RiskLabel
confidence: float
reversibility: float
deadline_ms: int
verification_cost_ms: int
execution_cost_ms: int
rollback_cost_ms: int
expected_utility_decay: float
required_checks: tuple[str, ...]
rollback_plan: str
uncertainty_notes: tuple[str, ...] = field(default_factory=tuple)
@dataclass(frozen=True)
class ShortcutDebt:
reduced_checks: int = 0
cached_policy_uses: int = 0
skipped_deep_analysis: int = 0
emergency_overrides: int = 0
@property
def score(self) -> float:
return min(
1.0,
(self.reduced_checks * 0.10)
+ (self.cached_policy_uses * 0.05)
+ (self.skipped_deep_analysis * 0.15)
+ (self.emergency_overrides * 0.40),
)
@dataclass(frozen=True)
class SystemState:
trust_state: TrustState = "normal"
shortcut_debt: ShortcutDebt = field(default_factory=ShortcutDebt)
shortcut_debt_limit: float = 0.70
queue_depth: int = 0
hardware_state: TrustState = "normal"
@dataclass(frozen=True)
class ScheduleDecision:
route: RouteName
reason: ScheduleReason
allowed: bool
authority_scale: float
required_checks: tuple[str, ...]
skipped_checks: tuple[str, ...]
notes: tuple[str, ...] = field(default_factory=tuple)
INVARIANT_CHECKS: tuple[str, ...] = (
"hash_salt_present",
"intent_signature_verified",
"scope_validated",
"policy_evaluated",
"forbidden_modules_blocked",
"raw_indicators_excluded",
"conditional_modules_authorized",
)
ADAPTIVE_CHECKS: tuple[str, ...] = (
"deep_log_correlation",
"long_horizon_analysis",
"full_counterfactual_simulation",
"secondary_model_review",
)
def total_required_time_ms(packet: DecisionPacket) -> int:
return packet.verification_cost_ms + packet.execution_cost_ms + packet.rollback_cost_ms
def fits_deadline(packet: DecisionPacket) -> bool:
return total_required_time_ms(packet) <= packet.deadline_ms
def has_required_rollback(packet: DecisionPacket) -> bool:
if packet.risk_label in {"high", "critical"}:
return bool(packet.rollback_plan and packet.rollback_cost_ms > 0)
return True
def invariant_violations(packet: DecisionPacket) -> tuple[str, ...]:
required = set(packet.required_checks)
return tuple(check for check in INVARIANT_CHECKS if check not in required)
def risk_weight(risk_label: RiskLabel) -> float:
RISK_WEIGHTS = {"low": 0.25, "medium": 0.50, "high": 0.75, "critical": 1.00}
def risk_weight(risk_label: RiskLabel) -> float:
return RISK_WEIGHTS.get(risk_label, 1.00)
def safe_utility(packet: DecisionPacket) -> float:
time_ratio = min(1.0, total_required_time_ms(packet) / max(packet.deadline_ms, 1))
return max(
0.0,
(packet.confidence * 0.40)
+ (packet.reversibility * 0.30)
+ ((1.0 - risk_weight(packet.risk_label)) * 0.20)
+ ((1.0 - time_ratio) * 0.10)
- (packet.expected_utility_decay * 0.10),
)
def schedule_decision(packet: DecisionPacket, state: SystemState | None = None) -> ScheduleDecision:
state = state or SystemState()
missing_invariants = invariant_violations(packet)
if missing_invariants:
return ScheduleDecision(
route="FAIL_CLOSED",
reason=ScheduleReason.INVARIANT_VIOLATION,
allowed=False,
authority_scale=0.0,
required_checks=tuple(packet.required_checks),
skipped_checks=missing_invariants,
notes=("Invariant checks cannot be skipped under deadline pressure.",),
)
if not has_required_rollback(packet):
return ScheduleDecision(
route="FAIL_CLOSED",
reason=ScheduleReason.MISSING_ROLLBACK,
allowed=False,
authority_scale=0.0,
required_checks=tuple(packet.required_checks),
skipped_checks=(),
notes=("High-impact action requires rollback or containment plan.",),
)
if state.shortcut_debt.score >= state.shortcut_debt_limit:
return containment_decision(packet, ScheduleReason.SHORTCUT_DEBT_TOO_HIGH, "Shortcut debt exceeded configured limit.")
if state.trust_state in {"contested", "unsafe"} or state.hardware_state in {"contested", "unsafe"}:
return containment_decision(packet, ScheduleReason.TRUST_STATE_DEGRADED, "Trust or hardware state is contested/unsafe.")
if packet.confidence < 0.30 and packet.risk_label in {"high", "critical"}:
return containment_decision(packet, ScheduleReason.LOW_CONFIDENCE, "Confidence too low for high-impact decision.")
if fits_deadline(packet):
if packet.risk_label in {"low", "medium"} and packet.reversibility >= 0.50:
return ScheduleDecision(
route="FAST",
reason=ScheduleReason.FAST_PATH_AVAILABLE,
allowed=True,
authority_scale=1.0,
required_checks=tuple(packet.required_checks),
skipped_checks=(),
notes=("Low/medium risk action fits available decision window.",),
)
return ScheduleDecision(
route="DELIBERATIVE",
reason=ScheduleReason.DELIBERATIVE_PATH_AVAILABLE,
allowed=True,
authority_scale=0.75,
required_checks=tuple(packet.required_checks),
skipped_checks=(),
notes=("High-impact or lower-reversibility action fits full verification window.",),
)
if packet.reversibility >= 0.75:
return containment_decision(packet, ScheduleReason.DEADLINE_TOO_TIGHT, "Full verification/execution/rollback does not fit deadline.")
return ScheduleDecision(
route="FAIL_CLOSED",
reason=ScheduleReason.NO_SAFE_ACTION_FITS,
allowed=False,
authority_scale=0.0,
required_checks=tuple(packet.required_checks),
skipped_checks=(),
notes=("No safe action fits inside the useful decision window.",),
)
def containment_decision(packet: DecisionPacket, reason: ScheduleReason, note: str) -> ScheduleDecision:
skipped = tuple(check for check in ADAPTIVE_CHECKS if check in packet.required_checks)
effective = tuple(check for check in packet.required_checks if check not in skipped)
return ScheduleDecision(
route="CONTAINMENT",
reason=reason,
allowed=True,
authority_scale=0.25,
required_checks=effective,
skipped_checks=skipped,
notes=(note, "Authority reduced; prefer reversible, bounded action."),
)
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