Implement GlyphOS Event System

Add lightweight, in-process event bus with Cognitive Kernel integration:

New Components:
- glyphos/events.py: EventBus class + functional API
  * EventBus: publish/subscribe pattern with history
  * Event type definitions (EventType literal)
  * Singleton: get_event_bus(), emit(), on()
  * History filtering and limits
  * Graceful handler error handling

- tests/test_events.py: Comprehensive test suite (16 tests, 100% pass)
  * EventBus subscription/publishing/history
  * Global singleton behavior
  * Functional API (on, emit, get_event_bus)
  * Kernel integration tests
  * Cognition event emission tests

Modified:
- glyphos/cognitive_kernel.py: Event emissions at key points
  * kernel.warmup.completed: After warmup() completes
  * cognition.started: At start of execute_gx()
  * cognition.completed: After execute_gx() completes
  * glyph.resonance.updated: When glyph resonance present

- glyphos/__init__.py: Export events module

Test Results:
- Registry tests:          12/12 
- Bridge tests:            10/10 
- Kernel tests:             8/8  
- Event system tests:      16/16  (NEW)
- Integration tests:        6/6  
- Total:                   52/52 

No breaking changes - all 36 existing tests still pass.
This commit is contained in:
GlyphRunner System
2026-05-20 18:11:25 -04:00
parent 9f4f31e2a3
commit 9792449157
4 changed files with 807 additions and 2 deletions
+19 -2
View File
@@ -1,7 +1,9 @@
"""GlyphOS Cognitive Kernel
"""GlyphOS - Cognitive Kernel and Event System
A system service layer on top of LAIN cognition engine and Supercharged Glyph Registry.
Provides a clean, structured API for running cognition on GX files and managing glyph context.
Provides:
- Cognitive Kernel: Clean API for running cognition on GX files
- Event System: Lightweight in-process event bus for symbolic events
"""
from .cognitive_kernel import (
@@ -11,9 +13,24 @@ from .cognitive_kernel import (
kernel_status,
)
from .events import (
EventBus,
Event,
EventType,
get_event_bus,
emit,
on,
)
__all__ = [
"CognitiveKernel",
"get_kernel",
"run_gx",
"kernel_status",
"EventBus",
"Event",
"EventType",
"get_event_bus",
"emit",
"on",
]
+44
View File
@@ -10,6 +10,7 @@ from pathlib import Path
from gx_lain.runtime import execute_gx_path, load_gx, normalize_segments, map_lanes, build_envelope, execute_with_lain
from glyphs.super_registry import load_all_supercharged, super_stats
from glyphos.events import emit
class CognitiveKernel:
@@ -44,6 +45,9 @@ class CognitiveKernel:
Records:
- Kernel startup time
Emits:
- kernel.warmup.completed event
"""
if self._warmed_up:
return
@@ -58,6 +62,12 @@ class CognitiveKernel:
self._warmed_up = True
# Emit warmup completed event
emit("kernel.warmup.completed", {
"glyph_stats": self._glyph_stats_cache,
"startup_time": self._startup_time,
})
def execute_gx(
self,
gx_path: str,
@@ -78,10 +88,22 @@ class CognitiveKernel:
- output_text: Rendered analysis
- cognition_trace: Step-by-step processing
- diagnostics: Performance metrics + glyph resonance
Emits:
- cognition.started event
- cognition.completed event
- glyph.resonance.updated event (if glyph resonance present)
"""
if not self._warmed_up:
self.warmup()
# Emit cognition started event
emit("cognition.started", {
"gx_path": gx_path,
"mode": mode,
"context": context,
})
# Build context with mode
exec_context = context or {}
exec_context["cognitive_mode"] = mode
@@ -93,6 +115,28 @@ class CognitiveKernel:
self._last_result = result
self._last_mode = mode
# Extract event payload from result
fused_symbol = result.get("fused_symbol", {})
diagnostics = result.get("diagnostics", {})
# Emit cognition completed event
emit("cognition.completed", {
"gx_path": gx_path,
"mode": mode,
"elapsed": diagnostics.get("elapsed"),
"glyph_resonance": diagnostics.get("glyph_resonance"),
"summary": fused_symbol.get("summary"),
})
# Emit glyph resonance event if present
glyph_resonance = diagnostics.get("glyph_resonance")
if glyph_resonance and glyph_resonance.get("glyph_found"):
emit("glyph.resonance.updated", {
"glyph_id": glyph_resonance.get("glyph_id"),
"glyph_score": glyph_resonance.get("glyph_score"),
"glyph_resonance": glyph_resonance,
})
return result
def execute_symbolic(
+183
View File
@@ -0,0 +1,183 @@
"""GlyphOS Event System
Lightweight, in-process event bus for symbolic events.
Captures cognition-related events from Cognitive Kernel / LAIN.
Exposes glyph activation and resonance changes as first-class events.
"""
import time
from typing import Callable, Dict, List, Optional, TypedDict, Literal, Any
# Event type definitions
EventType = Literal[
"cognition.started",
"cognition.completed",
"glyph.activation.changed",
"glyph.resonance.updated",
"kernel.warmup.completed",
]
class Event(TypedDict, total=False):
"""Event structure with optional fields."""
type: EventType
timestamp: float
payload: Dict[str, Any]
class EventBus:
"""Lightweight in-process event bus.
Manages subscriptions and publishing of symbolic events.
Maintains event history for introspection.
"""
def __init__(self) -> None:
"""Initialize an empty EventBus."""
self._subscribers: Dict[EventType, List[Callable[[Event], None]]] = {}
self._history: List[Event] = []
def subscribe(self, event_type: EventType, handler: Callable[[Event], None]) -> None:
"""Register a handler for a specific event type.
Args:
event_type: Type of event to listen for
handler: Callable that takes an Event and returns None
"""
if event_type not in self._subscribers:
self._subscribers[event_type] = []
if handler not in self._subscribers[event_type]:
self._subscribers[event_type].append(handler)
def unsubscribe(self, event_type: EventType, handler: Callable[[Event], None]) -> None:
"""Remove a handler if present.
Args:
event_type: Type of event to stop listening for
handler: The handler to remove
"""
if event_type in self._subscribers:
try:
self._subscribers[event_type].remove(handler)
except ValueError:
pass
def publish(self, event_type: EventType, payload: Dict[str, Any]) -> Event:
"""Create an Event, append to history, and invoke all handlers.
Args:
event_type: Type of event
payload: Event payload data
Returns:
The published Event (with timestamp added)
"""
event: Event = {
"type": event_type,
"timestamp": time.time(),
"payload": payload,
}
# Append to history
self._history.append(event)
# Invoke handlers in registration order
if event_type in self._subscribers:
for handler in self._subscribers[event_type]:
try:
handler(event)
except Exception as e:
# Silently catch handler errors to prevent cascade failures
# In production, could log to a logger
pass
return event
def get_history(
self, event_type: Optional[EventType] = None, limit: int = 100
) -> List[Event]:
"""Return recent events, optionally filtered by type.
Args:
event_type: If provided, filter to only this event type
limit: Maximum number of events to return
Returns:
List of recent events (newest last)
"""
if event_type is None:
# Return all events up to limit
return self._history[-limit:] if self._history else []
else:
# Filter by type and limit
filtered = [e for e in self._history if e.get("type") == event_type]
return filtered[-limit:] if filtered else []
def clear_history(self) -> None:
"""Clear all stored events."""
self._history = []
def get_subscriber_count(self, event_type: Optional[EventType] = None) -> int:
"""Get number of subscribers (for testing).
Args:
event_type: If provided, count for this type only
Returns:
Number of subscribers
"""
if event_type is None:
return sum(len(handlers) for handlers in self._subscribers.values())
else:
return len(self._subscribers.get(event_type, []))
# Global singleton event bus instance
_GLOBAL_BUS: Optional[EventBus] = None
def get_event_bus() -> EventBus:
"""Get or create the singleton EventBus instance.
On first call, creates a new EventBus.
Returns same instance on subsequent calls.
Returns:
Singleton EventBus instance
"""
global _GLOBAL_BUS
if _GLOBAL_BUS is None:
_GLOBAL_BUS = EventBus()
return _GLOBAL_BUS
def emit(event_type: EventType, payload: Dict[str, Any]) -> Event:
"""Convenience function: publish an event on the global bus.
Equivalent to: get_event_bus().publish(event_type, payload)
Args:
event_type: Type of event
payload: Event payload
Returns:
The published Event
"""
bus = get_event_bus()
return bus.publish(event_type, payload)
def on(event_type: EventType, handler: Callable[[Event], None]) -> None:
"""Convenience function: subscribe to an event on the global bus.
Equivalent to: get_event_bus().subscribe(event_type, handler)
Args:
event_type: Type of event to listen for
handler: Handler callback
"""
bus = get_event_bus()
bus.subscribe(event_type, handler)