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6343479 3d46076 6343479 3d46076 6343479 3d46076 6343479 3d46076 6343479 3d46076 6343479 3d46076 6343479 3d46076 6343479 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 | """Typed Runtime Event Bus for FlyBrain V8/V9.
Implements Section 84:
Publishes and dispatches typed simulation, cognitive, asset, and resource events.
Thread-safe, non-blocking listener invocation with bounded history.
"""
import time
import logging
import threading
from enum import Enum
from dataclasses import dataclass, field, asdict
from typing import Dict, Any, List, Callable, Optional
logger = logging.getLogger("FlyBrain.EventBus")
class EventType(str, Enum):
# Simulation & Physics
WORLD_TICK = "WORLD_TICK"
CHUNK_LOADED = "CHUNK_LOADED"
CHUNK_UNLOADED = "CHUNK_UNLOADED"
ORGANISM_MOVED = "ORGANISM_MOVED"
COLLISION = "COLLISION"
CONTACT = "CONTACT"
# Cognition & Biology
NEURON_SPIKE = "NEURON_SPIKE"
GOAL_CHANGED = "GOAL_CHANGED"
MEMORY_UPDATED = "MEMORY_UPDATED"
SOCIAL_INTERACTION = "SOCIAL_INTERACTION"
DREAM_STARTED = "DREAM_STARTED"
DREAM_COMPLETED = "DREAM_COMPLETED"
# Generative AI & Assets
IMAGE_GENERATION_STARTED = "IMAGE_GENERATION_STARTED"
IMAGE_GENERATED = "IMAGE_GENERATED"
ASSET_GENERATION_STARTED = "ASSET_GENERATION_STARTED"
ASSET_GENERATED = "ASSET_GENERATED"
ASSET_VALIDATED = "ASSET_VALIDATED"
RIG_CREATED = "RIG_CREATED"
MOTION_STARTED = "MOTION_STARTED"
MOTION_COMPLETED = "MOTION_COMPLETED"
# Model & Resource Management
MODEL_LOADING = "MODEL_LOADING"
MODEL_LOADED = "MODEL_LOADED"
MODEL_OFFLOADED = "MODEL_OFFLOADED"
MODEL_FAILED = "MODEL_FAILED"
RESOURCE_PRESSURE_CHANGED = "RESOURCE_PRESSURE_CHANGED"
# Persistence & Resilience
BACKUP_CREATED = "BACKUP_CREATED"
BACKUP_VERIFIED = "BACKUP_VERIFIED"
BACKUP_RESTORED = "BACKUP_RESTORED"
WATCHDOG_RECOVERY = "WATCHDOG_RECOVERY"
@dataclass
class Event:
type: EventType
timestamp: float = field(default_factory=time.time)
source: str = "core"
payload: Dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> Dict[str, Any]:
return {
"type": self.type.value,
"timestamp": self.timestamp,
"source": self.source,
"payload": self.payload
}
class EventBus:
_instance = None
_lock = threading.RLock()
def __new__(cls):
with cls._lock:
if cls._instance is None:
cls._instance = super(EventBus, cls).__new__(cls)
cls._instance._initialized = False
return cls._instance
def __init__(self):
if getattr(self, "_initialized", False):
return
self._lock = threading.RLock()
self._subscribers: Dict[EventType, List[Callable[[Event], None]]] = {
et: [] for et in EventType
}
self._all_subscribers: List[Callable[[Event], None]] = []
self._history: List[Event] = []
self._max_history = 1000
self._initialized = True
def subscribe(self, event_type: EventType, callback: Callable[[Event], None]) -> None:
"""Subscribes a callback to a specific typed event."""
with self._lock:
if event_type in self._subscribers:
self._subscribers[event_type].append(callback)
def subscribe_all(self, callback: Callable[[Event], None]) -> None:
"""Subscribes a callback to all events (e.g. for WebSocket telemetry)."""
with self._lock:
self._all_subscribers.append(callback)
def unsubscribe(self, event_type: EventType, callback: Callable[[Event], None]) -> None:
with self._lock:
if event_type in self._subscribers and callback in self._subscribers[event_type]:
self._subscribers[event_type].remove(callback)
def publish(self, event: Event) -> None:
"""Publishes an event to all subscribers and records to bounded history."""
with self._lock:
self._history.append(event)
if len(self._history) > self._max_history:
self._history.pop(0)
# Copy listener lists for safe iteration outside lock
listeners = list(self._subscribers.get(event.type, []))
wildcard = list(self._all_subscribers)
for cb in listeners:
try:
cb(event)
except Exception as e:
logger.error(f"Error in listener for {event.type.value}: {e}")
for cb in wildcard:
try:
cb(event)
except Exception as e:
logger.error(f"Error in wildcard listener for {event.type.value}: {e}")
def get_recent(self, count: int = 50, event_type: Optional[EventType] = None) -> List[Dict[str, Any]]:
"""Returns recent events in chronological order."""
with self._lock:
if event_type is not None:
filtered = [e for e in self._history if e.type == event_type]
else:
filtered = self._history
return [e.to_dict() for e in filtered[-count:]]
def get_event_bus() -> EventBus:
return EventBus()
# ---- Backward Compatibility Biological Event Stream (V4/V5/V7) ----
import hashlib
import os
VALID_EVENTS = {
"NEURON_BORN", "NEURON_DIFFERENTIATED", "NEURON_MOVED",
"AXON_GROWN", "DENDRITE_GROWN", "SYNAPSE_CREATED",
"SYNAPSE_STRENGTHENED", "SYNAPSE_WEAKENED", "SYNAPSE_PRUNED",
"NEURON_DIED", "MEMORY_CREATED", "MEMORY_RECALLED",
"MEMORY_CONSOLIDATED", "SLEEP_STARTED", "DREAM_STARTED",
"DREAM_ENDED", "TEACHING_STARTED", "TEACHING_ENDED",
"LEARNING_EVENT", "REPRODUCTION", "MUTATION", "CROSSOVER",
"ORGANISM_BORN", "ORGANISM_DIED", "GENERATION_STARTED",
"GENERATION_ENDED", "WORLD_STEP", "SNAPSHOT_SAVED",
}
class EventLog:
def __init__(self):
self.events: List[Dict[str, Any]] = []
self._tick_counter = 0
def log(self, event_type: str, tick: int, organism_id: str = "",
generation: int = 0, payload: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
if event_type not in VALID_EVENTS:
raise ValueError(f"Unknown event type: {event_type}")
ev = {
"seq": len(self.events),
"type": event_type,
"tick": int(tick),
"organism_id": organism_id,
"generation": int(generation),
"payload": payload or {},
}
self.events.append(ev)
return ev
def __len__(self):
return len(self.events)
def filter(self, event_type: str = "", organism_id: str = "") -> List[Dict[str, Any]]:
out = self.events
if event_type:
out = [e for e in out if e["type"] == event_type]
if organism_id:
out = [e for e in out if e["organism_id"] == organism_id]
return out
def compute_hash(self) -> str:
import json as _json
h = hashlib.sha256()
for e in self.events:
h.update(_json.dumps(e, sort_keys=True).encode())
return h.hexdigest()
def to_jsonl(self, path: str):
import json as _json
os.makedirs(os.path.dirname(os.path.abspath(path)), exist_ok=True)
with open(path, "w", encoding="utf-8") as f:
for e in self.events:
f.write(_json.dumps(e, sort_keys=True) + "\n")
@classmethod
def from_jsonl(cls, path: str) -> "EventLog":
import json as _json
log = cls()
with open(path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if line:
log.events.append(_json.loads(line))
return log
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