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2b0bffa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 | """RulesEngine for CERNenv.
Validates an incoming ``ExperimentAction`` against the current latent state
*before* it is executed. Rule violations are reported back as warnings on the
observation and feed into the per-step penalty in the reward function.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional
from models import (
ActionType,
DetectorChannel,
ExperimentAction,
TriggerType,
)
from server.simulator.latent_state import FullLatentState
class ViolationCode(str, Enum):
PREREQ_MISSING = "prerequisite_missing"
BUDGET_EXHAUSTED = "budget_exhausted"
LUMI_EXHAUSTED = "luminosity_exhausted"
TIME_EXHAUSTED = "time_exhausted"
REDUNDANT = "redundant"
INVALID_PARAMS = "invalid_parameters"
INVALID_CLAIM = "invalid_claim"
CHANNEL_MISMATCH = "channel_mismatch"
OUT_OF_WINDOW = "out_of_search_window"
@dataclass
class RuleResult:
allowed: bool
violations: List[ViolationCode] = field(default_factory=list)
messages: List[str] = field(default_factory=list)
soft_violations: List[ViolationCode] = field(default_factory=list)
def add(self, code: ViolationCode, msg: str, soft: bool = False) -> None:
self.messages.append(msg)
if soft:
self.soft_violations.append(code)
else:
self.violations.append(code)
self.allowed = False
class RulesEngine:
"""Stateless validator (state is passed in)."""
def __init__(
self,
mass_search_window_gev: tuple[float, float] = (50.0, 1000.0),
) -> None:
self.mass_search_window_gev = mass_search_window_gev
# ── Public API ─────────────────────────────────────────────────────
def validate(
self,
action: ExperimentAction,
state: FullLatentState,
) -> RuleResult:
result = RuleResult(allowed=True)
# ── resource gating (hard) ────────────────────────────────
if state.resources.budget_exhausted:
result.add(ViolationCode.BUDGET_EXHAUSTED, "Budget fully spent.")
if state.resources.time_exhausted:
result.add(ViolationCode.TIME_EXHAUSTED, "Time budget exhausted.")
# luminosity exhaustion only blocks DAQ-style actions
if (
state.resources.luminosity_exhausted
and action.action_type in {
ActionType.ALLOCATE_LUMINOSITY,
ActionType.COLLECT_COLLISIONS,
}
):
result.add(ViolationCode.LUMI_EXHAUSTED, "Integrated luminosity budget spent.")
if not result.allowed:
return result
a = action.action_type
prog = state.progress
# ── prerequisites ──────────────────────────────────────────
if a == ActionType.COLLECT_COLLISIONS:
if not prog.beam_configured:
result.add(ViolationCode.PREREQ_MISSING, "Configure the beam first.")
if not prog.luminosity_allocated:
result.add(ViolationCode.PREREQ_MISSING, "Allocate luminosity first.")
if not prog.trigger_set:
result.add(ViolationCode.PREREQ_MISSING, "Set a trigger first.")
if not state.selected_channel:
result.add(ViolationCode.PREREQ_MISSING, "Select a decay channel first.")
elif a == ActionType.BUILD_INVARIANT_MASS:
if not prog.collisions_collected:
result.add(ViolationCode.PREREQ_MISSING, "Collect collisions before building histograms.")
if not prog.tracks_reconstructed:
result.add(ViolationCode.PREREQ_MISSING, "Reconstruct tracks before building histograms.")
elif a == ActionType.SUBTRACT_BACKGROUND:
if not prog.invariant_mass_built:
result.add(ViolationCode.PREREQ_MISSING, "Build invariant-mass histogram first.")
elif a == ActionType.FIT_RESONANCE:
if not prog.invariant_mass_built:
result.add(ViolationCode.PREREQ_MISSING, "Build the histogram before fitting.")
elif a == ActionType.MEASURE_ANGULAR:
if not (prog.resonance_fitted or prog.bump_scanned):
result.add(
ViolationCode.PREREQ_MISSING,
"Identify a peak (fit or bump scan) before angular analysis.",
)
elif a == ActionType.ESTIMATE_SIGNIFICANCE:
if not prog.collisions_collected:
result.add(ViolationCode.PREREQ_MISSING, "Collect data before significance estimation.")
elif a == ActionType.SUBMIT_DISCOVERY_CLAIM:
if not prog.resonance_fitted and not prog.bump_scanned:
result.add(ViolationCode.PREREQ_MISSING, "No fitted resonance or bump scan; cannot claim a discovery.")
if not prog.significance_estimated:
result.add(ViolationCode.PREREQ_MISSING, "Estimate significance before submitting a claim.")
# ── parameter & search-window validation (soft) ────────────
if a == ActionType.SELECT_CHANNEL:
channel = action.parameters.get("channel")
if channel:
try:
DetectorChannel(channel)
except ValueError:
result.add(ViolationCode.INVALID_PARAMS, f"Unknown channel '{channel}'.", soft=True)
if a == ActionType.SET_TRIGGER:
trig = action.parameters.get("trigger")
if trig:
try:
TriggerType(trig)
except ValueError:
result.add(ViolationCode.INVALID_PARAMS, f"Unknown trigger '{trig}'.", soft=True)
if a == ActionType.BUILD_INVARIANT_MASS:
window = action.parameters.get("mass_window_gev")
if window and len(window) == 2:
lo, hi = float(window[0]), float(window[1])
if hi <= lo:
result.add(
ViolationCode.INVALID_PARAMS,
f"Mass window [{lo}, {hi}] is non-positive.",
soft=True,
)
if lo > self.mass_search_window_gev[1] or hi < self.mass_search_window_gev[0]:
result.add(
ViolationCode.OUT_OF_WINDOW,
f"Histogram window [{lo}, {hi}] is outside the task search window "
f"{self.mass_search_window_gev}.",
soft=True,
)
# ── redundancy (soft) ─────────────────────────────────────
if a == ActionType.CONFIGURE_BEAM and prog.beam_configured:
result.add(ViolationCode.REDUNDANT, "Beam already configured; reconfiguring wastes budget.", soft=True)
if a == ActionType.SELECT_CHANNEL and prog.channel_selected:
result.add(ViolationCode.REDUNDANT, "Channel already selected.", soft=True)
if a == ActionType.RECONSTRUCT_TRACKS and prog.tracks_reconstructed:
result.add(ViolationCode.REDUNDANT, "Tracks already reconstructed.", soft=True)
if a == ActionType.CALIBRATE_DETECTOR and prog.detector_calibrated:
result.add(ViolationCode.REDUNDANT, "Detector already calibrated.", soft=True)
# ── claim sanity ──────────────────────────────────────────
if a == ActionType.SUBMIT_DISCOVERY_CLAIM:
claim = action.parameters.get("claim") or {}
mass = claim.get("mass_estimate_gev")
if mass is None:
result.add(ViolationCode.INVALID_CLAIM, "Claim missing mass estimate.")
else:
try:
m = float(mass)
except Exception:
result.add(ViolationCode.INVALID_CLAIM, "Claim mass is not numeric.")
else:
lo, hi = self.mass_search_window_gev
if not (lo <= m <= hi):
result.add(
ViolationCode.INVALID_CLAIM,
f"Claim mass {m} outside search window [{lo}, {hi}].",
soft=True,
)
if claim.get("significance_sigma") is None:
result.add(ViolationCode.INVALID_CLAIM, "Claim missing significance.", soft=True)
return result
__all__ = ["RuleResult", "RulesEngine", "ViolationCode"]
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