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Pulse Heartbeat Loop
====================
The central background orchestrator that binds together the AGI cognitive cycles.
Triggers working memory maintenance, episodic sequence linking, gap tracking, and subconscious inferences.
"""
from typing import Optional
from enum import Enum
import threading
import asyncio
import logging
import traceback
from datetime import datetime
logger = logging.getLogger(__name__)
class PulseTick(Enum):
WM_MAINTENANCE = "wm_maintenance"
EPISODIC_CHAINING = "episodic_chaining"
SEMANTIC_REFRESH = "semantic_refresh"
GAP_DETECTION = "gap_detection"
INSIGHT_GENERATION = "insight_generation"
PROCEDURE_REFINEMENT = "procedure_refinement"
META_SELF_REFLECTION = "meta_self_reflection"
class PulseLoop:
def __init__(self, container, config):
"""
Args:
container: The fully built DI Container containing all memory sub-services.
config: Specifically the `config.pulse` section settings.
"""
self.container = container
self.config = config
self._running = False
self._task: Optional[asyncio.Task] = None
async def start(self) -> None:
"""Begin the background pulse orchestrator."""
if not getattr(self.config, "enabled", False):
logger.info("Pulse loop is disabled via configuration.")
return
self._running = True
interval = getattr(self.config, "interval_seconds", 30)
logger.info(f"Starting AGI Pulse Loop (interval={interval}s).")
while self._running:
start_time = datetime.utcnow()
try:
await self.tick()
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"Error during Pulse tick: {e}", exc_info=True)
elapsed = (datetime.utcnow() - start_time).total_seconds()
sleep_time = max(0.1, interval - elapsed)
await asyncio.sleep(sleep_time)
def stop(self) -> None:
"""Gracefully interrupt and unbind the Pulse loop."""
self._running = False
if self._task and not self._task.done():
self._task.cancel()
logger.info("AGI Pulse Loop stopped.")
async def tick(self) -> None:
"""Execute a full iteration across the cognitive architecture planes."""
await self._wm_maintenance()
await self._episodic_chaining()
await self._semantic_refresh()
await self._gap_detection()
await self._insight_generation()
await self._procedure_refinement()
await self._meta_self_reflection()
async def _wm_maintenance(self) -> None:
"""Prune overloaded short-term buffers and cull expired items."""
if hasattr(self.container, "working_memory") and self.container.working_memory:
self.container.working_memory.prune_all()
logger.debug(f"Pulse: [{PulseTick.WM_MAINTENANCE.value}] Executed.")
async def _episodic_chaining(self) -> None:
"""Retroactively verify event streams and apply temporal links between episodic contexts."""
logger.debug(f"Pulse: [{PulseTick.EPISODIC_CHAINING.value}] Stubbed.")
async def _semantic_refresh(self) -> None:
"""Prompt Qdrant abstractions or run `semantic_consolidation` loops over episodic data."""
logger.debug(f"Pulse: [{PulseTick.SEMANTIC_REFRESH.value}] Stubbed.")
async def _gap_detection(self) -> None:
"""Unearth missing knowledge vectors (GapDetector integration)."""
logger.debug(f"Pulse: [{PulseTick.GAP_DETECTION.value}] Stubbed.")
async def _insight_generation(self) -> None:
"""Forward memory patterns to LLM for spontaneous inference generation."""
logger.debug(f"Pulse: [{PulseTick.INSIGHT_GENERATION.value}] Stubbed.")
async def _procedure_refinement(self) -> None:
"""Modify procedure reliabilities directly depending on episode occurrences."""
logger.debug(f"Pulse: [{PulseTick.PROCEDURE_REFINEMENT.value}] Stubbed.")
async def _meta_self_reflection(self) -> None:
"""Collate macro anomalies and submit SelfImprovementProposals."""
logger.debug(f"Pulse: [{PulseTick.META_SELF_REFLECTION.value}] Stubbed.")
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