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skills/run-ai-dm-4-engine/scripts/aidm4_core/living_world.py
57.5 KB · Oct 4, 2026 · 12:29 UTC
from __future__ import annotations
import hashlib
import json
import math
import sqlite3
from dataclasses import dataclass, field
from typing import Any, Iterable
from .jsonutil import canonical_json, sha256_json, sha256_text
from .kernel import Mutation, TurnDraft, commit_turn, current_runtime_hash
from .verify import verify_database
class SimulationError(RuntimeError):
pass
class SimulationGameplayDisabled(SimulationError):
pass
SYSTEM_SPECS: dict[str, dict[str, Any]] = {
"system:time": {
"owned": ["temporal.nodes", "temporal.constraints"],
"cadence": ["every committed elapsed-time change"],
"triggers": ["turn", "travel", "project", "recovery"],
"inputs": ["authoritative interval"],
"outputs": ["elapsed interval", "calendar boundaries"],
"dependencies": [],
"consumers": ["system:travel", "system:weather", "system:actor", "system:faction", "system:projects"],
},
"system:spatial": {
"owned": ["spatial.nodes", "topology.edges", "route.observations"],
"cadence": ["on movement or topology evidence"],
"triggers": ["destination", "route observation", "closure change"],
"inputs": ["location", "observer", "access evidence"],
"outputs": ["route candidates", "local access result"],
"dependencies": ["system:time"],
"consumers": ["system:travel", "system:weather", "system:information"],
},
"system:travel": {
"owned": ["travel.plans", "travel.leg_receipts"],
"cadence": ["per travel declaration"],
"triggers": ["movement intent"],
"inputs": ["topology", "weather", "documents", "fuel", "supplies"],
"outputs": ["duration", "resource deltas", "fatigue"],
"dependencies": ["system:time", "system:spatial", "system:weather", "system:economy"],
"consumers": ["system:health", "system:actor", "system:faction"],
},
"system:weather": {
"owned": ["environment.weather_receipts"],
"cadence": ["meaningful local interval"],
"triggers": ["elapsed time", "location promotion"],
"inputs": ["climate", "season range", "recent state", "seed", "causal modifiers"],
"outputs": ["weather interval", "forecast boundary", "domain effects"],
"dependencies": ["system:time", "system:spatial", "system:random"],
"consumers": ["system:travel", "system:disaster", "system:health", "system:infrastructure"],
},
"system:disaster": {
"owned": ["disaster.risk_profiles", "disaster.evaluation_receipts"],
"cadence": ["hazard interval"],
"triggers": ["accumulation", "threshold", "causal shock"],
"inputs": ["weather", "hazard", "infrastructure", "preparedness"],
"outputs": ["warning", "trigger", "cascade", "mitigation"],
"dependencies": ["system:weather", "system:infrastructure", "system:population"],
"consumers": ["system:travel", "system:health", "system:faction", "system:governance"],
},
"system:population": {
"owned": ["population.routines", "population.services"],
"cadence": ["local day or promoted scene"],
"triggers": ["elapsed time", "service demand", "shock"],
"inputs": ["households", "work", "services", "culture"],
"outputs": ["availability", "witnesses", "ordinary activity"],
"dependencies": ["system:time", "system:economy", "system:infrastructure"],
"consumers": ["system:actor", "system:media", "system:governance"],
},
"system:economy": {
"owned": ["economy.accounts", "economy.transfer_receipts", "supply.state"],
"cadence": ["transaction or strategic interval"],
"triggers": ["purchase", "upkeep", "scarcity", "production"],
"inputs": ["source", "destination", "amount/range", "unit", "time"],
"outputs": ["account deltas", "prices", "supply latency"],
"dependencies": ["system:time", "system:infrastructure"],
"consumers": ["system:travel", "system:faction", "system:projects", "system:health"],
},
"system:infrastructure": {
"owned": ["infrastructure.assets", "infrastructure.effect_receipts"],
"cadence": ["damage, upkeep, project, disaster"],
"triggers": ["failure", "repair", "load change"],
"inputs": ["power", "water", "roads", "medicine", "communications"],
"outputs": ["service state", "downstream effects"],
"dependencies": ["system:economy", "system:weather"],
"consumers": ["system:population", "system:travel", "system:information", "system:projects"],
},
"system:governance": {
"owned": ["governance.jurisdictions", "governance.law_receipts", "legitimacy.state"],
"cadence": ["policy, custody, public shock"],
"triggers": ["law", "enforcement", "bureaucracy", "commitment"],
"inputs": ["jurisdiction", "evidence chain", "capacity", "custom"],
"outputs": ["policy", "enforcement", "legitimacy deltas"],
"dependencies": ["system:information", "system:population", "system:faction"],
"consumers": ["system:actor", "system:media", "system:faction"],
},
"system:media": {
"owned": ["media.narratives", "media.detection_signatures", "threat.pressure"],
"cadence": ["information arrival or public event"],
"triggers": ["public signature", "rumor", "institutional release"],
"inputs": ["information packets", "credibility", "audience"],
"outputs": ["framing", "awareness", "actor-specific threat"],
"dependencies": ["system:information", "system:governance"],
"consumers": ["system:actor", "system:faction", "system:relationships"],
},
"system:information": {
"owned": ["information.transmissions", "knowledge.access_paths"],
"cadence": ["per packet/channel"],
"triggers": ["observation", "message", "record", "interception"],
"inputs": ["sender", "recipient", "channel", "delay", "distortion"],
"outputs": ["actual recipients", "belief input", "downstream inference"],
"dependencies": ["system:time", "system:infrastructure"],
"consumers": ["system:actor", "system:faction", "system:media", "system:relationships"],
},
"system:actor": {
"owned": ["actor.agency_profiles", "actor.decision_receipts"],
"cadence": ["schedule/opportunity/threshold"],
"triggers": ["motive", "information", "threat", "obligation"],
"inputs": ["knowledge", "resources", "relationships", "time", "constraints"],
"outputs": ["act", "fail", "stall", "delegate", "disagree", "no action"],
"dependencies": ["system:information", "system:relationships", "system:attention", "system:time"],
"consumers": ["system:faction", "system:information", "system:consequence-debt"],
},
"system:faction": {
"owned": ["faction.agency_profiles", "faction.decision_receipts", "faction.budgets"],
"cadence": ["strategic interval or trigger"],
"triggers": ["priority", "initiative", "shock", "opportunity"],
"inputs": ["leadership", "blocs", "budget", "reach", "intelligence", "latency"],
"outputs": ["initiative outcome", "resource use", "signature"],
"dependencies": ["system:information", "system:economy", "system:relationships", "system:attention"],
"consumers": ["system:governance", "system:media", "system:projects", "system:consequence-debt"],
},
"system:relationships": {
"owned": ["relationships.directional_dimensions", "relationships.change_receipts"],
"cadence": ["causal interaction"],
"triggers": ["promise", "harm", "disclosure", "gift", "absence"],
"inputs": ["from actor", "to actor", "dimension", "cause"],
"outputs": ["directional time-versioned delta"],
"dependencies": ["system:time", "system:information"],
"consumers": ["system:actor", "system:faction", "system:information"],
},
"system:health": {
"owned": ["health.condition_receipts", "health.recovery_receipts"],
"cadence": ["injury/treatment/recovery interval"],
"triggers": ["harm", "treatment", "elapsed recovery"],
"inputs": ["Resolve", "fatigue", "strain", "injury", "treatment", "resources"],
"outputs": ["condition delta", "capability/body effects"],
"dependencies": ["system:time", "system:economy", "system:technology"],
"consumers": ["system:combat", "system:travel", "system:actor"],
},
"system:combat": {
"owned": ["combat.exchange_state", "combat.deterioration"],
"cadence": ["seconds/exchange"],
"triggers": ["direct hostile exchange"],
"inputs": ["phase machine", "health", "environment", "equipment"],
"outputs": ["Resolve", "injury", "position", "aftermath"],
"dependencies": ["system:health", "system:weather", "system:technology"],
"consumers": ["system:health", "system:information", "system:consequence-debt"],
},
"system:technology": {
"owned": ["technology.provenance", "technology.interaction_receipts"],
"cadence": ["use, project, interaction"],
"triggers": ["capability use", "engineering work", "countermeasure"],
"inputs": ["mechanism", "scale", "cost", "dependency", "evidence"],
"outputs": ["effect", "signature", "uncertainty"],
"dependencies": ["system:projects", "system:economy"],
"consumers": ["system:health", "system:combat", "system:infrastructure"],
},
"system:force-magic-cosmic": {
"owned": ["cross-domain.interaction_receipts", "power.signatures"],
"cadence": ["use or detected interaction"],
"triggers": ["Force", "magic", "cosmic", "dimensional effect"],
"inputs": ["provenance", "mechanism", "demonstrated scale", "resistance evidence"],
"outputs": ["established/analogical/uncertain result"],
"dependencies": ["system:technology", "system:spatial", "system:information"],
"consumers": ["system:combat", "system:weather", "system:disaster", "system:media"],
},
"system:projects": {
"owned": ["projects.stage_models", "projects.evaluation_receipts"],
"cadence": ["allocated strategic interval"],
"triggers": ["Action allocation", "blocker change", "elapsed minimum"],
"inputs": ["stage", "Actions", "resources", "time", "opposition"],
"outputs": ["stage effect", "setback", "stall", "output"],
"dependencies": ["system:time", "system:economy", "system:actor", "system:faction"],
"consumers": ["system:technology", "system:infrastructure", "system:consequence-debt"],
},
"system:random": {
"owned": ["random.event_tables", "random.event_receipts"],
"cadence": ["eligible simulation interval"],
"triggers": ["event check"],
"inputs": ["campaign seed", "eligible rows", "weights", "cooldowns", "canon"],
"outputs": ["replayable circumstance"],
"dependencies": ["system:time", "system:attention"],
"consumers": ["system:weather", "system:actor", "system:faction", "system:disaster"],
},
"system:attention": {
"owned": ["attention.tiers", "attention.transition_receipts"],
"cadence": ["relevance or phase change"],
"triggers": ["combat", "scene", "locality", "project", "distant event"],
"inputs": ["elapsed campaign time", "relevance", "active pressure"],
"outputs": ["resolution tier"],
"dependencies": ["system:time"],
"consumers": ["system:actor", "system:faction", "system:random", "system:population"],
},
"system:consequence-debt": {
"owned": ["consequence_debt.records", "consequence_debt.transitions"],
"cadence": ["world audit and elapsed time"],
"triggers": ["required reaction deferred"],
"inputs": ["causal event", "actor/faction", "latency", "knowledge"],
"outputs": ["open/partial/discharged reaction"],
"dependencies": ["system:time", "system:actor", "system:faction", "system:information"],
"consumers": ["system:actor", "system:faction", "system:media"],
},
}
def seed_system_registry(connection: sqlite3.Connection) -> dict[str, int]:
with connection:
for system_id, spec in SYSTEM_SPECS.items():
connection.execute(
"""
INSERT OR IGNORE INTO system_registry(
system_id,version,owned_state_json,cadence_json,triggers_json,
inputs_json,outputs_json,dependencies_json,visibility_rule,
randomness_rule,failure_rule,invariants_json,consumers_json
) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?)
""",
(
system_id,
"4.0.0-phase7",
canonical_json(spec["owned"]),
canonical_json(spec["cadence"]),
canonical_json(spec["triggers"]),
canonical_json(spec["inputs"]),
canonical_json(spec["outputs"]),
canonical_json(spec["dependencies"]),
"Visible projections are allowlisted; sealed inputs remain internal.",
(
"No randomness."
if system_id != "system:random"
else "SHA-256 deterministic weighted selection with a complete receipt."
),
"May fail, stall, delay, disagree, or remain inactive for a recorded causal reason.",
canonical_json(
[
"campaign elapsed time only",
"no player-sovereignty mutation",
"no impossible knowledge",
"no retroactive perfect counter",
"explicit transaction coupling",
]
),
canonical_json(spec["consumers"]),
),
)
_seed_event_tables(connection)
return {
"systems": connection.execute("SELECT count(*) FROM system_registry").fetchone()[0],
"event_tables": connection.execute("SELECT count(*) FROM event_table_definition").fetchone()[0],
"event_entries": connection.execute("SELECT count(*) FROM event_table_entry").fetchone()[0],
}
def _seed_event_tables(connection: sqlite3.Connection) -> None:
entries = (
("ACTOR_CAUSAL", "delayed-messenger", 18, {"requires": {"actor_present": True}}, {"circumstance": "A messenger arrives late with incomplete information."}),
("ORDINARY_STOCHASTIC", "market-delay", 30, {"requires": {"settlement_active": True}}, {"circumstance": "An ordinary delivery is delayed."}),
("ENVIRONMENTAL", "runoff", 20, {"requires": {"precipitation": True}}, {"circumstance": "Runoff changes a local path and water workload."}),
("RARE_SHOCK", "communications-outage", 2, {"requires": {"infrastructure_exposed": True}}, {"circumstance": "A regional communications fault creates delay and ambiguity."}),
("MYSTICAL_COSMIC_DIMENSIONAL", "route-resonance", 1, {"requires": {"dimensional_signature": True}}, {"circumstance": "A route observation produces an anomalous but non-explanatory resonance."}),
)
for event_class, event_id, weight, eligibility, outcome in entries:
table_id = f"events:{event_class.casefold()}"
connection.execute(
"""
INSERT OR IGNORE INTO event_table_definition(
table_id,table_version,event_class,eligibility_schema_json
) VALUES(?,?,?,?)
""",
(
table_id,
"1.0",
event_class,
canonical_json({"requires": "exact context equality"}),
),
)
connection.execute(
"""
INSERT OR IGNORE INTO event_table_entry(
table_id,table_version,event_id,weight,eligibility_json,
outcome_json,cooldown_seconds,fairness_json,visibility
) VALUES(?,?,?,?,?,?,?,?,?)
""",
(
table_id,
"1.0",
event_id,
weight,
canonical_json(eligibility),
canonical_json(outcome),
86400,
canonical_json(
{
"decides_player_choice": False,
"impossible_reinforcement": False,
"erases_decisive_success": False,
"retroactive_exact_fact": False,
"sealed_reveal_without_access": False,
}
),
"VISIBLE",
),
)
def verify_system_registry(connection: sqlite3.Connection) -> dict[str, Any]:
rows = list(connection.execute("SELECT * FROM system_registry ORDER BY system_id"))
ids = {row["system_id"] for row in rows}
missing = sorted(set(SYSTEM_SPECS) - ids)
unknown_dependencies = []
ownership: dict[str, str] = {}
duplicate_ownership = []
for row in rows:
for dependency in json.loads(row["dependencies_json"]):
if dependency not in ids:
unknown_dependencies.append([row["system_id"], dependency])
for owned in json.loads(row["owned_state_json"]):
if owned in ownership:
duplicate_ownership.append([owned, ownership[owned], row["system_id"]])
ownership[owned] = row["system_id"]
return {
"status": "PASS" if not missing and not unknown_dependencies and not duplicate_ownership and len(rows) == 22 else "FAIL",
"systems": len(rows),
"missing": missing,
"unknown_dependencies": unknown_dependencies,
"duplicate_ownership": duplicate_ownership,
}
def transition_attention(
connection: sqlite3.Connection,
*,
subject_id: str,
from_tier: int,
to_tier: int,
reason: str,
trigger_ref: str,
elapsed_campaign_seconds: int,
synthetic: bool,
) -> str:
if from_tier not in range(6) or to_tier not in range(6):
raise SimulationError("attention tier must be 0–5")
if elapsed_campaign_seconds < 0:
raise SimulationError("elapsed campaign time cannot be negative")
if trigger_ref.startswith("WALL_CLOCK"):
raise SimulationError("wall-clock time cannot advance in-world simulation")
if from_tier == 5 and to_tier < 5 and not (
elapsed_campaign_seconds > 0
or trigger_ref.startswith(("EVENT:", "PLAYER:", "PHASE:"))
):
raise SimulationError("dormant promotion requires campaign elapsed time or relevance trigger")
latest = connection.execute(
"""
SELECT to_tier,sequence FROM attention_transition
WHERE subject_id=? ORDER BY sequence DESC LIMIT 1
""",
(subject_id,),
).fetchone()
if latest is not None and latest["to_tier"] != from_tier:
raise SimulationError("attention transition does not continue the recorded tier")
sequence = (latest["sequence"] if latest else 0) + 1
material = {
"subject_id": subject_id,
"from_tier": from_tier,
"to_tier": to_tier,
"reason": reason,
"trigger_ref": trigger_ref,
"elapsed_campaign_seconds": elapsed_campaign_seconds,
"sequence": sequence,
}
transition_id = f"attention:{sha256_json(material)[:32]}"
with connection:
connection.execute(
"""
INSERT INTO attention_transition(
attention_transition_id,subject_id,from_tier,to_tier,reason,
trigger_ref,elapsed_campaign_seconds,sequence,synthetic
) VALUES(?,?,?,?,?,?,?,?,?)
""",
(
transition_id,
subject_id,
from_tier,
to_tier,
reason,
trigger_ref,
elapsed_campaign_seconds,
sequence,
int(synthetic),
),
)
return transition_id
def _hash_roll(seed: str, namespace: str, modulus: int = 1_000_000) -> int:
digest = hashlib.sha256(f"{seed}|{namespace}".encode("utf-8")).digest()
return int.from_bytes(digest[:8], "big") % modulus
def decide_agency(
*,
owner_type: str,
owner_id: str,
context: dict[str, Any],
campaign_seed: str,
cycle_id: str,
) -> dict[str, Any]:
required = {
"motive",
"knowledge_refs",
"resources_available",
"relationships_available",
"opportunity",
"obligations",
"constraints",
"latency_seconds",
"elapsed_seconds",
"characteristic_actions",
}
missing = sorted(required - set(context))
if missing:
raise SimulationError(f"agency context missing: {missing}")
if not context["motive"] or not context["opportunity"]:
outcome = "NO_ACTION"
elif context["latency_seconds"] > context["elapsed_seconds"]:
outcome = "STALL"
elif not context["resources_available"]:
outcome = "STALL"
elif context.get("internal_disagreement"):
outcome = "DISAGREE"
else:
roll = _hash_roll(campaign_seed, f"{cycle_id}:{owner_type}:{owner_id}", 100)
failure_chance = int(context.get("failure_chance_percent", 0))
delegation_chance = int(context.get("delegation_chance_percent", 0))
if roll < failure_chance:
outcome = "FAIL"
elif roll < failure_chance + delegation_chance:
outcome = "DELEGATE"
else:
outcome = "ACT"
material = {
"owner_type": owner_type,
"owner_id": owner_id,
"outcome": outcome,
"context": context,
"cycle_id": cycle_id,
}
return {
"decision_id": f"decision:{sha256_json(material)[:32]}",
"owner_type": owner_type,
"owner_id": owner_id,
"outcome": outcome,
"motive_ref": context["motive"],
"knowledge_refs": context["knowledge_refs"],
"resource_refs": context.get("resource_refs", []),
"opportunity": context["opportunity"],
"constraints": context["constraints"],
"latency_seconds": context["latency_seconds"],
"evidence_signatures": context.get("evidence_signatures", []),
"basis_hash": sha256_json(material),
"visibility": context.get("visibility", "VISIBLE"),
}
def propagate_information(
*,
transmission_id: str,
proposition: str,
originator_id: str,
sender_id: str,
intended_recipients: list[str],
channel: str,
delay_seconds: int,
elapsed_seconds: int,
distortion: dict[str, Any],
credibility: str,
classification: str,
interception: dict[str, Any],
downstream_inference: dict[str, Any],
visibility: str = "VISIBLE",
) -> dict[str, Any]:
if delay_seconds < 0 or elapsed_seconds < 0:
raise SimulationError("information delay/time cannot be negative")
actual = intended_recipients if elapsed_seconds >= delay_seconds else []
return {
"transmission_id": transmission_id,
"proposition": proposition,
"originator_id": originator_id,
"sender_id": sender_id,
"intended_recipients": intended_recipients,
"actual_recipients": actual,
"channel": channel,
"delay_seconds": delay_seconds,
"distortion": distortion,
"credibility": credibility,
"classification": classification,
"interception": interception,
"downstream_inference": downstream_inference if actual else {},
"visibility": visibility,
}
def relationship_change(
*,
change_id: str,
from_actor_id: str,
to_actor_id: str,
dimension: str,
previous_value: Any,
delta: Any,
new_value: Any,
causal_event_ref: str,
effective_sequence: int,
visibility: str = "VISIBLE",
) -> dict[str, Any]:
if from_actor_id == to_actor_id:
raise SimulationError("directional relationship requires distinct actors")
return {
"relationship_change_id": change_id,
"from_actor_id": from_actor_id,
"to_actor_id": to_actor_id,
"dimension": dimension,
"previous_value": previous_value,
"delta": delta,
"new_value": new_value,
"causal_event_ref": causal_event_ref,
"effective_sequence": effective_sequence,
"visibility": visibility,
}
def resource_transfer(
*,
transfer_id: str,
source_account: str,
destination_account: str,
amount_min: int,
amount_max: int,
unit: str,
purpose: str,
elapsed_campaign_seconds: int,
provenance_ref: str,
visibility: str = "VISIBLE",
) -> dict[str, Any]:
if amount_max < amount_min or not unit or source_account == destination_account:
raise SimulationError("invalid resource transfer")
return {
"transfer_id": transfer_id,
"source_account": source_account,
"destination_account": destination_account,
"amount_min": amount_min,
"amount_max": amount_max,
"unit": unit,
"purpose": purpose,
"elapsed_campaign_seconds": elapsed_campaign_seconds,
"provenance_ref": provenance_ref,
"visibility": visibility,
}
def infrastructure_effect(
*,
effect_id: str,
infrastructure_id: str,
cause_class: str,
cause_ref: str,
effect: dict[str, Any],
downstream_domains: list[str],
mitigation: dict[str, Any],
visibility: str = "VISIBLE",
) -> dict[str, Any]:
if len(set(downstream_domains)) < 2:
raise SimulationError("infrastructure effects must name coupled downstream domains")
return {
"infrastructure_effect_id": effect_id,
"infrastructure_id": infrastructure_id,
"cause_class": cause_class,
"cause_ref": cause_ref,
"effect": effect,
"downstream_domains": downstream_domains,
"mitigation": mitigation,
"visibility": visibility,
}
def generate_weather(
*,
campaign_seed: str,
cycle_id: str,
location_id: str,
climate_profile: dict[str, Any],
season: dict[str, Any],
recent_state: dict[str, Any],
causal_modifiers: list[dict[str, Any]],
) -> dict[str, Any]:
if season.get("status") not in {"EXACT", "RANGE", "UNRESOLVED"}:
raise SimulationError("season must be exact, ranged, or unresolved")
base_min = int(climate_profile["temperature_min_c"])
base_max = int(climate_profile["temperature_max_c"])
if season["status"] == "UNRESOLVED":
base_min -= int(climate_profile.get("unresolved_season_margin_c", 8))
base_max += int(climate_profile.get("unresolved_season_margin_c", 8))
roll = _hash_roll(campaign_seed, f"weather:{cycle_id}:{location_id}", 2001) - 1000
anomaly = roll / 1000 * float(climate_profile.get("max_anomaly_c", 4))
minimum = math.floor((base_min + anomaly) * 10) / 10
maximum = math.ceil((base_max + anomaly) * 10) / 10
precipitation_roll = _hash_roll(
campaign_seed, f"precip:{cycle_id}:{location_id}", 100
)
precipitation = precipitation_roll < int(
climate_profile.get("precipitation_chance_percent", 30)
)
wind_kph = int(climate_profile.get("base_wind_kph", 10)) + _hash_roll(
campaign_seed, f"wind:{cycle_id}:{location_id}", 25
)
supernatural = [item for item in causal_modifiers if item.get("source_ref")]
travel_multiplier = 1000
if precipitation:
travel_multiplier += 150
if wind_kph >= 25:
travel_multiplier += 100
for modifier in supernatural:
travel_multiplier += int(modifier.get("travel_multiplier_delta_milli", 0))
state = {
"temperature_c": {"min": minimum, "max": maximum},
"precipitation": {
"present": precipitation,
"type": climate_profile.get("precipitation_type", "rain") if precipitation else "none",
"intensity": "moderate" if precipitation else "none",
},
"wind_kph": wind_kph,
"visibility_m": max(500, 10000 - (5000 if precipitation else 0) - wind_kph * 50),
"season_status": season["status"],
"recent_state_ref": recent_state.get("state_ref"),
"causal_modifiers": supernatural,
"effects": {
"travel_duration_multiplier_min_milli": travel_multiplier,
"travel_duration_multiplier_max_milli": travel_multiplier + (100 if season["status"] == "UNRESOLVED" else 0),
"concealment": "INCREASED" if precipitation else "BASELINE",
"health": "EXPOSURE_RISK" if minimum < 0 else "BASELINE",
"infrastructure": "RUNOFF_LOAD" if precipitation else "BASELINE",
},
}
environment_state_id = f"environment:{sha256_json({'cycle': cycle_id, 'location': location_id, 'state': state})[:32]}"
state["effects"]["travel_overlay"] = {
"duration_multiplier_min_milli": travel_multiplier,
"duration_multiplier_max_milli": travel_multiplier
+ (100 if season["status"] == "UNRESOLVED" else 0),
"source_ref": environment_state_id,
}
return {
"environment_state_id": environment_state_id,
"location_id": location_id,
"state": state,
"generation_source": "SHA256_SEEDED_WEATHER_V1",
"seed_receipt": {
"campaign_seed_hash": sha256_text(campaign_seed),
"namespace": f"weather:{cycle_id}:{location_id}",
},
"visibility": "VISIBLE",
}
def evaluate_disaster(
*,
risk_profile_id: str,
preconditions: dict[str, bool],
required_preconditions: list[str],
accumulation: int,
warning_threshold: int,
trigger_threshold: int,
preparedness: dict[str, Any],
cascade_rules: list[dict[str, Any]],
causal_trigger: bool,
visibility: str = "VISIBLE",
) -> dict[str, Any]:
met = all(preconditions.get(key) is True for key in required_preconditions)
warning = met and accumulation >= warning_threshold
triggered = met and causal_trigger and accumulation >= trigger_threshold
mitigation = {
"available": bool(preparedness),
"effectiveness": preparedness.get("effectiveness", "NONE"),
}
cascades = cascade_rules if triggered else []
severity = None
if triggered:
severity = (
"MITIGATED"
if preparedness.get("effectiveness") in {"HIGH", "COMPLETE"}
else "ACTIVE"
)
material = {
"risk_profile_id": risk_profile_id,
"preconditions": preconditions,
"accumulation": accumulation,
"warning": warning,
"triggered": triggered,
"preparedness": preparedness,
"cascades": cascades,
}
return {
"disaster_evaluation_id": f"disaster-eval:{sha256_json(material)[:32]}",
"risk_profile_id": risk_profile_id,
"preconditions_met": met,
"accumulation": accumulation,
"warning_issued": warning,
"triggered": triggered,
"severity": severity,
"cascade_effects": cascades,
"mitigation": mitigation,
"basis_hash": sha256_json(material),
"visibility": visibility,
}
def select_random_event(
connection: sqlite3.Connection,
*,
table_id: str,
table_version: str,
context: dict[str, Any],
campaign_seed: str,
cycle_id: str,
) -> dict[str, Any]:
entries = []
for row in connection.execute(
"""
SELECT * FROM event_table_entry
WHERE table_id=? AND table_version=?
ORDER BY event_id
""",
(table_id, table_version),
):
eligibility = json.loads(row["eligibility_json"])
required = eligibility.get("requires", {})
fair = json.loads(row["fairness_json"])
fairness_ok = not any(fair.values())
eligible = fairness_ok and all(context.get(k) == v for k, v in required.items())
if eligible:
entries.append(dict(row))
total = sum(row["weight"] for row in entries)
roll = _hash_roll(campaign_seed, f"event:{cycle_id}:{table_id}:{table_version}", total) if total else None
selected = None
if entries:
cursor = 0
for row in entries:
cursor += row["weight"]
if roll < cursor:
selected = row
break
material = {
"table_id": table_id,
"version": table_version,
"eligible": [row["event_id"] for row in entries],
"weights": [row["weight"] for row in entries],
"roll": roll,
"selected": selected["event_id"] if selected else None,
"context": context,
}
return {
"random_event_receipt_id": f"rng:{sha256_json(material)[:32]}",
"campaign_seed_hash": sha256_text(campaign_seed),
"table_id": table_id,
"table_version": table_version,
"eligible_events": [
{"event_id": row["event_id"], "weight": row["weight"]}
for row in entries
],
"roll": {"value": roll, "range": [0, total - 1] if total else None},
"modifiers": {"context_hash": sha256_json(context)},
"selected_result": (
{
"event_id": selected["event_id"],
"outcome": json.loads(selected["outcome_json"]),
}
if selected
else None
),
"causality": {
"eligibility_evaluated_before_roll": True,
"player_choice_decided": False,
"earned_success_erased": False,
"impossible_reinforcement": False,
},
"visibility": selected["visibility"] if selected else "VISIBLE",
}
def recover_health(
*,
actor_id: str,
condition_class: str,
previous_severity: int,
treatment: dict[str, Any],
elapsed_seconds: int,
resources: dict[str, Any],
capability_dependencies: list[str],
) -> dict[str, Any]:
if elapsed_seconds <= 0:
raise SimulationError("recovery requires positive elapsed campaign time")
if not treatment.get("provided") or not resources.get("available"):
improvement = 0
else:
required = int(treatment.get("minimum_seconds", 0))
improvement = 1 if elapsed_seconds >= required else 0
new_severity = max(0, previous_severity - improvement)
material = {
"actor_id": actor_id,
"condition": condition_class,
"previous": previous_severity,
"treatment": treatment,
"elapsed": elapsed_seconds,
"resources": resources,
"dependencies": capability_dependencies,
"new": new_severity,
}
return {
"recovery_id": f"recovery:{sha256_json(material)[:32]}",
"actor_id": actor_id,
"condition_class": condition_class,
"previous_state": {"severity": previous_severity},
"treatment": treatment,
"elapsed_seconds": elapsed_seconds,
"resources": resources,
"capability_dependencies": capability_dependencies,
"new_state": {"severity": new_severity},
"visibility": "VISIBLE",
}
def resolve_cross_domain_interaction(
*,
source_domain: str,
target_domain: str,
source_capability_ref: str | None,
target_resistance_ref: str | None,
evidence_refs: list[str],
analogy_refs: list[str],
claimed_exact_outcome: Any | None = None,
) -> dict[str, Any]:
if source_capability_ref and target_resistance_ref and evidence_refs:
status = "ESTABLISHED"
outcome = claimed_exact_outcome
elif evidence_refs or analogy_refs:
status = "ANALOGICAL"
outcome = {"bounded": True, "exact": None}
else:
status = "UNCERTAIN"
outcome = {"unknown_interaction": True}
material = {
"source_domain": source_domain,
"target_domain": target_domain,
"source": source_capability_ref,
"target": target_resistance_ref,
"evidence": evidence_refs,
"analogy": analogy_refs,
"status": status,
"outcome": outcome,
}
return {
"interaction_id": f"interaction:{sha256_json(material)[:32]}",
"source_domain": source_domain,
"target_domain": target_domain,
"source_capability_ref": source_capability_ref,
"target_resistance_ref": target_resistance_ref,
"evidence_refs": evidence_refs + analogy_refs,
"resolution_status": status,
"outcome": outcome,
"invented_power_score": 0,
"visibility": "VISIBLE",
}
def evaluate_project_stage(
*,
project_id: str,
stage_model: list[dict[str, Any]],
stage_before: str,
elapsed_seconds: int,
actions_spent: int,
resources_met: bool,
blockers: list[str],
outcome_degree: str,
) -> dict[str, Any]:
ids = [stage["stage_id"] for stage in stage_model]
if len(ids) != len(set(ids)) or len(ids) < 2:
raise SimulationError("project stages must be distinct")
if stage_before not in ids:
raise SimulationError("unknown current project stage")
current = stage_model[ids.index(stage_before)]
if blockers or not resources_met:
stage_after = stage_before
outcome = "STALL"
elif elapsed_seconds < int(current.get("minimum_seconds", 0)):
stage_after = stage_before
outcome = "STALL"
elif actions_spent < int(current.get("action_cost", 0)):
stage_after = stage_before
outcome = "STALL"
else:
outcome = outcome_degree
advance = outcome_degree in {
"CRITICAL_SUCCESS",
"CLEAN_SUCCESS",
"SUCCESS_WITH_SETBACK",
}
index = ids.index(stage_before)
stage_after = ids[min(index + 1, len(ids) - 1)] if advance else stage_before
material = {
"project": project_id,
"before": stage_before,
"after": stage_after,
"outcome": outcome,
"elapsed": elapsed_seconds,
"actions": actions_spent,
"resources_met": resources_met,
"blockers": blockers,
}
return {
"project_evaluation_id": f"project-eval:{sha256_json(material)[:32]}",
"project_clock_id": project_id,
"stage_before": stage_before,
"stage_after": stage_after,
"outcome_degree": outcome,
"elapsed_seconds": elapsed_seconds,
"action_cost": actions_spent,
"resource_effects": {"requirements_met": resources_met},
"blockers": blockers,
"output": current.get("output", {}),
"basis_hash": sha256_json(material),
"visibility": "VISIBLE",
}
def consequence_debt(
*,
debt_id: str,
causal_event_ref: str,
required_reaction_class: str,
debtor_actor_or_faction_id: str,
created_campaign_time_ref: str,
earliest_discharge_seconds: int,
visibility: str = "SEALED",
) -> dict[str, Any]:
if not causal_event_ref or earliest_discharge_seconds < 0:
raise SimulationError("Consequence Debt requires a causal event and valid latency")
return {
"consequence_debt_id": debt_id,
"causal_event_ref": causal_event_ref,
"required_reaction_class": required_reaction_class,
"debtor_actor_or_faction_id": debtor_actor_or_faction_id,
"created_campaign_time_ref": created_campaign_time_ref,
"earliest_discharge_seconds": earliest_discharge_seconds,
"status": "OPEN",
"visibility": visibility,
"payload": {
"cannot_grant_impossible_knowledge": True,
"cannot_act_as_punishment_quota": True,
},
}
def discharge_consequence_debt(
*,
transition_id: str,
debt: dict[str, Any],
elapsed_seconds: int,
discharge_form: str,
causal_basis: dict[str, Any],
to_status: str = "DISCHARGED",
) -> dict[str, Any]:
if elapsed_seconds < debt["earliest_discharge_seconds"]:
raise SimulationError("Consequence Debt cannot discharge before causal latency")
if causal_basis.get("impossible_knowledge") or causal_basis.get("punishment_only"):
raise SimulationError("invalid Consequence Debt discharge")
return {
"debt_transition_id": transition_id,
"consequence_debt_id": debt["consequence_debt_id"],
"from_status": debt["status"],
"to_status": to_status,
"discharge_form": discharge_form,
"causal_basis": causal_basis,
"elapsed_seconds": elapsed_seconds,
"visibility": debt["visibility"],
}
@dataclass(frozen=True)
class SimulationPlan:
cycle_id: str
mutations: tuple[Mutation, ...]
effect_system_ids: tuple[str, ...]
resolution_scope: dict[str, Any]
auxiliary: dict[str, Any] = field(default_factory=dict)
def commit_simulation_cycle(
connection: sqlite3.Connection,
*,
campaign_id: str,
campaign_seed: str,
elapsed_campaign_seconds: int,
plan: SimulationPlan,
expected_runtime_hash: str,
synthetic: bool,
gameplay_authorized: bool = False,
) -> dict[str, Any]:
if elapsed_campaign_seconds <= 0:
raise SimulationError("simulation requires positive committed campaign time")
if not synthetic and not gameplay_authorized:
raise SimulationGameplayDisabled("campaign world simulation is disabled")
if len(plan.mutations) != len(plan.effect_system_ids):
raise SimulationError("every mutation requires one owning system")
unknown_systems = [
system_id
for system_id in plan.effect_system_ids
if system_id not in SYSTEM_SPECS
]
if unknown_systems:
raise SimulationError(f"unknown systems: {unknown_systems}")
seed_hash = sha256_text(campaign_seed)
def side_effect(db: sqlite3.Connection, transaction_id: str) -> None:
db.execute(
"""
INSERT INTO simulation_cycle(
simulation_cycle_id,campaign_id,elapsed_campaign_seconds,
source_temporal_node_id,campaign_seed_hash,transaction_id,
resolution_scope_json,synthetic,status
) VALUES(?,?,?,?,?,?,?,?,?)
""",
(
plan.cycle_id,
campaign_id,
elapsed_campaign_seconds,
None,
seed_hash,
transaction_id,
canonical_json(plan.resolution_scope),
int(synthetic),
"COMMITTED",
),
)
for ordinal, (mutation, system_id) in enumerate(
zip(plan.mutations, plan.effect_system_ids)
):
db.execute(
"""
INSERT INTO simulation_effect(
simulation_effect_id,simulation_cycle_id,system_id,domain,
subject_id,state_key,delta_ordinal,causal_ref,visibility
) VALUES(?,?,?,?,?,?,?,?,?)
""",
(
f"simulation-effect:{sha256_json({'cycle': plan.cycle_id, 'ordinal': ordinal, 'system': system_id})[:32]}",
plan.cycle_id,
system_id,
mutation.domain,
mutation.subject_id,
mutation.state_key,
ordinal,
plan.auxiliary.get("causal_ref", plan.cycle_id),
mutation.visibility,
),
)
weather = plan.auxiliary.get("weather")
if weather:
db.execute(
"""
INSERT INTO environment_state(
environment_state_id,location_id,temporal_node_id,state_json,
generation_source,random_event_receipt_id,transaction_id,visibility
) VALUES(?,?,NULL,?,?,NULL,?,?)
""",
(
weather["environment_state_id"],
weather["location_id"],
canonical_json(weather["state"]),
weather["generation_source"],
transaction_id,
weather["visibility"],
),
)
event = plan.auxiliary.get("random_event")
if event:
db.execute(
"""
INSERT INTO random_event_receipt(
random_event_receipt_id,campaign_seed_hash,table_id,
table_version,eligible_events_json,roll_json,modifiers_json,
selected_result_json,causality_json,transaction_id,visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?)
""",
(
event["random_event_receipt_id"],
event["campaign_seed_hash"],
event["table_id"],
event["table_version"],
canonical_json(event["eligible_events"]),
canonical_json(event["roll"]),
canonical_json(event["modifiers"]),
canonical_json(event["selected_result"]),
canonical_json(event["causality"]),
transaction_id,
event["visibility"],
),
)
for decision in plan.auxiliary.get("decisions", []):
db.execute(
"""
INSERT INTO agency_decision_receipt(
decision_id,simulation_cycle_id,decision_owner_type,
decision_owner_id,decision_outcome,motive_ref,
knowledge_refs_json,resource_refs_json,opportunity_json,
constraints_json,latency_seconds,evidence_signatures_json,
decision_basis_hash,visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?)
""",
(
decision["decision_id"],
plan.cycle_id,
decision["owner_type"],
decision["owner_id"],
decision["outcome"],
decision["motive_ref"],
canonical_json(decision["knowledge_refs"]),
canonical_json(decision["resource_refs"]),
canonical_json(decision["opportunity"]),
canonical_json(decision["constraints"]),
decision["latency_seconds"],
canonical_json(decision["evidence_signatures"]),
decision["basis_hash"],
decision["visibility"],
),
)
for packet in plan.auxiliary.get("information", []):
db.execute(
"""
INSERT INTO information_transmission(
transmission_id,simulation_cycle_id,proposition,originator_id,
sender_id,intended_recipients_json,actual_recipients_json,
channel,delay_seconds,distortion_json,credibility,
classification,interception_json,downstream_inference_json,
source_packet_id,visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?,NULL,?)
""",
(
packet["transmission_id"],
plan.cycle_id,
packet["proposition"],
packet["originator_id"],
packet["sender_id"],
canonical_json(packet["intended_recipients"]),
canonical_json(packet["actual_recipients"]),
packet["channel"],
packet["delay_seconds"],
canonical_json(packet["distortion"]),
packet["credibility"],
packet["classification"],
canonical_json(packet["interception"]),
canonical_json(packet["downstream_inference"]),
packet["visibility"],
),
)
for change in plan.auxiliary.get("relationship_changes", []):
db.execute(
"""
INSERT INTO relationship_change_receipt(
relationship_change_id,simulation_cycle_id,from_actor_id,
to_actor_id,dimension,previous_value_json,delta_json,
new_value_json,causal_event_ref,effective_sequence,visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?)
""",
(
change["relationship_change_id"],
plan.cycle_id,
change["from_actor_id"],
change["to_actor_id"],
change["dimension"],
canonical_json(change["previous_value"]),
canonical_json(change["delta"]),
canonical_json(change["new_value"]),
change["causal_event_ref"],
change["effective_sequence"],
change["visibility"],
),
)
for transfer in plan.auxiliary.get("resource_transfers", []):
db.execute(
"""
INSERT INTO resource_transfer_receipt(
transfer_id,simulation_cycle_id,source_account,
destination_account,amount_min,amount_max,unit,purpose,
elapsed_campaign_seconds,provenance_ref,visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?)
""",
(
transfer["transfer_id"],
plan.cycle_id,
transfer["source_account"],
transfer["destination_account"],
transfer["amount_min"],
transfer["amount_max"],
transfer["unit"],
transfer["purpose"],
transfer["elapsed_campaign_seconds"],
transfer["provenance_ref"],
transfer["visibility"],
),
)
for effect in plan.auxiliary.get("infrastructure_effects", []):
db.execute(
"""
INSERT INTO infrastructure_effect_receipt(
infrastructure_effect_id,simulation_cycle_id,
infrastructure_id,cause_class,cause_ref,effect_json,
downstream_domains_json,mitigation_json,visibility
) VALUES(?,?,?,?,?,?,?,?,?)
""",
(
effect["infrastructure_effect_id"],
plan.cycle_id,
effect["infrastructure_id"],
effect["cause_class"],
effect["cause_ref"],
canonical_json(effect["effect"]),
canonical_json(effect["downstream_domains"]),
canonical_json(effect["mitigation"]),
effect["visibility"],
),
)
disaster = plan.auxiliary.get("disaster")
if disaster:
db.execute(
"""
INSERT INTO disaster_evaluation_receipt(
disaster_evaluation_id,simulation_cycle_id,risk_profile_id,
preconditions_met,accumulation,warning_issued,triggered,
severity,cascade_effects_json,mitigation_json,basis_hash,visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?,?)
""",
(
disaster["disaster_evaluation_id"],
plan.cycle_id,
disaster["risk_profile_id"],
int(disaster["preconditions_met"]),
disaster["accumulation"],
int(disaster["warning_issued"]),
int(disaster["triggered"]),
disaster["severity"],
canonical_json(disaster["cascade_effects"]),
canonical_json(disaster["mitigation"]),
disaster["basis_hash"],
disaster["visibility"],
),
)
for recovery in plan.auxiliary.get("health", []):
db.execute(
"""
INSERT INTO health_recovery_receipt(
recovery_id,simulation_cycle_id,actor_id,condition_class,
previous_state_json,treatment_json,elapsed_seconds,
resources_json,capability_dependencies_json,new_state_json,
visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?)
""",
(
recovery["recovery_id"],
plan.cycle_id,
recovery["actor_id"],
recovery["condition_class"],
canonical_json(recovery["previous_state"]),
canonical_json(recovery["treatment"]),
recovery["elapsed_seconds"],
canonical_json(recovery["resources"]),
canonical_json(recovery["capability_dependencies"]),
canonical_json(recovery["new_state"]),
recovery["visibility"],
),
)
for interaction in plan.auxiliary.get("interactions", []):
db.execute(
"""
INSERT INTO cross_domain_interaction_receipt(
interaction_id,simulation_cycle_id,source_domain,target_domain,
source_capability_ref,target_resistance_ref,evidence_refs_json,
resolution_status,outcome_json,invented_power_score,visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?)
""",
(
interaction["interaction_id"],
plan.cycle_id,
interaction["source_domain"],
interaction["target_domain"],
interaction["source_capability_ref"],
interaction["target_resistance_ref"],
canonical_json(interaction["evidence_refs"]),
interaction["resolution_status"],
canonical_json(interaction["outcome"]),
0,
interaction["visibility"],
),
)
for project in plan.auxiliary.get("projects", []):
db.execute(
"""
INSERT INTO project_evaluation_receipt(
project_evaluation_id,simulation_cycle_id,project_clock_id,
stage_before,stage_after,outcome_degree,elapsed_seconds,
action_cost,resource_effects_json,blockers_json,output_json,
basis_hash,visibility
) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?)
""",
(
project["project_evaluation_id"],
plan.cycle_id,
project["project_clock_id"],
project["stage_before"],
project["stage_after"],
project["outcome_degree"],
project["elapsed_seconds"],
project["action_cost"],
canonical_json(project["resource_effects"]),
canonical_json(project["blockers"]),
canonical_json(project["output"]),
project["basis_hash"],
project["visibility"],
),
)
for debt in plan.auxiliary.get("consequence_debts", []):
db.execute(
"""
INSERT INTO consequence_debt_record(
consequence_debt_id,causal_event_ref,required_reaction_class,
debtor_actor_or_faction_id,created_campaign_time_ref,
earliest_discharge_seconds,status,visibility,payload_json
) VALUES(?,?,?,?,?,?,?,?,?)
""",
(
debt["consequence_debt_id"],
debt["causal_event_ref"],
debt["required_reaction_class"],
debt["debtor_actor_or_faction_id"],
debt["created_campaign_time_ref"],
debt["earliest_discharge_seconds"],
debt["status"],
debt["visibility"],
canonical_json(debt["payload"]),
),
)
for transition in plan.auxiliary.get("debt_transitions", []):
db.execute(
"""
INSERT INTO consequence_debt_transition(
debt_transition_id,consequence_debt_id,simulation_cycle_id,
from_status,to_status,discharge_form,causal_basis_json,
elapsed_seconds,visibility
) VALUES(?,?,?,?,?,?,?,?,?)
""",
(
transition["debt_transition_id"],
transition["consequence_debt_id"],
plan.cycle_id,
transition["from_status"],
transition["to_status"],
transition["discharge_form"],
canonical_json(transition["causal_basis"]),
transition["elapsed_seconds"],
transition["visibility"],
),
)
draft = TurnDraft(
source_turn_id=f"simulation-turn:{sha256_json({'campaign': campaign_id, 'cycle': plan.cycle_id})}",
source_message_id=None, # type: ignore[arg-type]
expected_runtime_hash=expected_runtime_hash,
phase_before="CONTROL",
step_before="WORLD_SIMULATION_DRAFT",
phase_after="CONTROL",
step_after="WORLD_SIMULATION_COMMITTED",
player_declaration="Synthetic world-system verification" if synthetic else "Committed elapsed-time world cycle",
adjudication={
"kind": "COUPLED_WORLD_SIMULATION",
"cycle_id": plan.cycle_id,
"systems": list(plan.effect_system_ids),
"synthetic": synthetic,
},
narration=None,
elapsed_min_seconds=elapsed_campaign_seconds,
elapsed_max_seconds=elapsed_campaign_seconds,
mutations=plan.mutations,
schema_version=3,
)
transaction_id = commit_turn(
connection, draft, transaction_side_effect=side_effect
)
return {
"cycle_id": plan.cycle_id,
"transaction_id": transaction_id,
"runtime_hash_after": current_runtime_hash(connection),
"integrity": verify_database(connection)["status"],
"effects": len(plan.mutations),
}
SHA-256: 5b11e14341b7ccbf3ee50d7829612a5c6745eab6c8c3c532b13ded849b606bd0