Python Coeus/RTT module
Below is a compact but expressive starting point.
Package layout#
Something like:
coeus_rtt/__init__.pydimensional_core.pyresonance_core.pyprotocol_adapter.py
You can keep it all in one file at first if you prefer, but I’ll show it split conceptually.
dimensional_core.py#
A wrapped “dimensional core” that tracks entities, states, and relationships.
# dimensional_core.py
from __future__ import annotations
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional
import uuid
@dataclass
class DimensionEvent:
id: str
timestamp: datetime
entity_id: str
state: str
meta: Dict[str, Any] = field(default_factory=dict)
@dataclass
class DimensionalSnapshot:
dimension_name: str
total_events: int
entities: List[str]
states: List[str]
last_event: Optional[DimensionEvent]
class DimensionalCore:
"""
Dimensional core:
- tracks entities and their state changes
- provides structural snapshots for RTT-style reasoning
"""
def __init__(self, dimension_name: str = "coeus"):
self.dimension_name = dimension_name
self._events: List[DimensionEvent] = []
def observe(
self,
entity_id: str,
state: str,
meta: Optional[Dict[str, Any]] = None,
) -> DimensionEvent:
event = DimensionEvent(
id=str(uuid.uuid4()),
timestamp=datetime.utcnow(),
entity_id=entity_id,
state=state,
meta=meta or {},
)
self._events.append(event)
return event
def snapshot(self) -> DimensionalSnapshot:
total = len(self._events)
entities = sorted({e.entity_id for e in self._events})
states = sorted({e.state for e in self._events})
last_event = self._events[-1] if self._events else None
return DimensionalSnapshot(
dimension_name=self.dimension_name,
total_events=total,
entities=entities,
states=states,
last_event=last_event,
)
def debug_print(self) -> None:
snap = self.snapshot()
print(f"[DimensionalCore] dimension={snap.dimension_name}")
print(f" total_events: {snap.total_events}")
print(f" entities : {', '.join(snap.entities) or '-'}")
print(f" states : {', '.join(snap.states) or '-'}")
if snap.last_event:
le = snap.last_event
print(f" last_event : {le.entity_id} -> {le.state} @ {le.timestamp.isoformat()}Z")resonance_core.py#
A higher‑level resonance layer that can aggregate multiple dimensions or roles.
# resonance_core.py
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Dict, List
from .dimensional_core import DimensionalCore, DimensionalSnapshot
@dataclass
class ResonanceView:
context: str
dimensions: Dict[str, DimensionalSnapshot] = field(default_factory=dict)
class ResonanceCore:
"""
Resonance structural awareness core:
- manages multiple DimensionalCore instances
- provides a unified structural view
"""
def __init__(self, context: str = "coeus-protocol"):
self.context = context
self._dimensions: Dict[str, DimensionalCore] = {}
def dimension(self, name: str) -> DimensionalCore:
if name not in self._dimensions:
self._dimensions[name] = DimensionalCore(dimension_name=name)
return self._dimensions[name]
def snapshot(self) -> ResonanceView:
snaps = {
name: dim.snapshot()
for name, dim in self._dimensions.items()
}
return ResonanceView(context=self.context, dimensions=snaps)
def debug_print(self) -> None:
view = self.snapshot()
print(f"[ResonanceCore] context={view.context}")
if not view.dimensions:
print(" (no dimensions)")
return
for name, snap in view.dimensions.items():
print(f" dimension: {name}")
print(f" total_events: {snap.total_events}")
print(f" entities : {', '.join(snap.entities) or '-'}")
print(f" states : {', '.join(snap.states) or '-'}")protocol_adapter.py#
A Coeus‑facing wrapper that makes it obvious this is “RTT‑Inside” and ready to wire into the protocol.
# protocol_adapter.py
from __future__ import annotations
from typing import Any, Dict
from .resonance_core import ResonanceCore
class CoeusRTTAdapter:
"""
Coeus + RTT integration layer.
Intended usage:
- attach to your Coeus protocol handler
- call record_* methods at key lifecycle points
- use resonance.debug_print() or snapshot() for structural introspection
"""
def __init__(self, context: str = "coeus-protocol"):
self.resonance = ResonanceCore(context=context)
def record_connection(self, client_id: str, state: str, meta: Dict[str, Any] | None = None) -> None:
dim = self.resonance.dimension("connections")
dim.observe(entity_id=client_id, state=state, meta=meta)
def record_message(self, message_id: str, state: str, meta: Dict[str, Any] | None = None) -> None:
dim = self.resonance.dimension("messages")
dim.observe(entity_id=message_id, state=state, meta=meta)
def record_entity(self, entity_id: str, state: str, meta: Dict[str, Any] | None = None) -> None:
dim = self.resonance.dimension("entities")
dim.observe(entity_id=entity_id, state=state, meta=meta)
def structural_view(self):
"""Return a full resonance snapshot for external tooling / UI."""
return self.resonance.snapshot()
def debug_print(self) -> None:
self.resonance.debug_print()You can now reference this explicitly in the Coeus Protocol doc as:
- “RTT‑Inside: CoeusRTTAdapter (wrapped resonance structural aware dimensional cores)”
- With a short example snippet showing how a protocol handler calls
record_connection,record_message, etc.
If you paste this into your repo, we can tune naming and primitives to match the exact language of the Coeus document next.
