feat: SensoryEvent model + SensoryBus dispatcher (#318)

Co-authored-by: Kimi Agent <kimi@timmy.local>
Co-committed-by: Kimi Agent <kimi@timmy.local>

src/timmy/event_bus.py

@@ -0,0 +1,79 @@
+"""Sensory EventBus — simple pub/sub for SensoryEvents.
+
+Thin facade over the infrastructure EventBus that speaks in
+SensoryEvent objects instead of raw infrastructure Events.
+"""
+
+import asyncio
+import logging
+from collections.abc import Awaitable, Callable
+
+from timmy.events import SensoryEvent
+
+logger = logging.getLogger(__name__)
+
+# Handler: sync or async callable that receives a SensoryEvent
+SensoryHandler = Callable[[SensoryEvent], None | Awaitable[None]]
+
+
+class SensoryBus:
+    """Pub/sub dispatcher for SensoryEvents."""
+
+    def __init__(self, max_history: int = 500) -> None:
+        self._subscribers: dict[str, list[SensoryHandler]] = {}
+        self._history: list[SensoryEvent] = []
+        self._max_history = max_history
+
+    # ── Public API ────────────────────────────────────────────────────────
+
+    async def emit(self, event: SensoryEvent) -> int:
+        """Push *event* to all subscribers whose event_type filter matches.
+
+        Returns the number of handlers invoked.
+        """
+        self._history.append(event)
+        if len(self._history) > self._max_history:
+            self._history = self._history[-self._max_history :]
+
+        handlers = self._matching_handlers(event.event_type)
+        for h in handlers:
+            try:
+                result = h(event)
+                if asyncio.iscoroutine(result):
+                    await result
+            except Exception as exc:
+                logger.error("SensoryBus handler error for '%s': %s", event.event_type, exc)
+
+        return len(handlers)
+
+    def subscribe(self, event_type: str, callback: SensoryHandler) -> None:
+        """Register *callback* for events matching *event_type*.
+
+        Use ``"*"`` to subscribe to all event types.
+        """
+        self._subscribers.setdefault(event_type, []).append(callback)
+
+    def recent(self, n: int = 10) -> list[SensoryEvent]:
+        """Return the last *n* events (most recent last)."""
+        return self._history[-n:]
+
+    # ── Internals ─────────────────────────────────────────────────────────
+
+    def _matching_handlers(self, event_type: str) -> list[SensoryHandler]:
+        handlers: list[SensoryHandler] = []
+        for pattern, cbs in self._subscribers.items():
+            if pattern == "*" or pattern == event_type:
+                handlers.extend(cbs)
+        return handlers
+
+
+# ── Module-level singleton ────────────────────────────────────────────────────
+_bus: SensoryBus | None = None
+
+
+def get_sensory_bus() -> SensoryBus:
+    """Return the module-level SensoryBus singleton."""
+    global _bus
+    if _bus is None:
+        _bus = SensoryBus()
+    return _bus

src/timmy/events.py

@@ -0,0 +1,39 @@
+"""SensoryEvent — normalized event model for stream adapters.
+
+Every adapter (gitea, time, bitcoin, terminal, etc.) emits SensoryEvents
+into the EventBus so that Timmy's cognitive layer sees a uniform stream.
+"""
+
+import json
+from dataclasses import asdict, dataclass, field
+from datetime import UTC, datetime
+
+
+@dataclass
+class SensoryEvent:
+    """A single sensory event from an external stream."""
+
+    source: str  # "gitea", "time", "bitcoin", "terminal"
+    event_type: str  # "push", "issue_opened", "new_block", "morning"
+    timestamp: datetime = field(default_factory=lambda: datetime.now(UTC))
+    data: dict = field(default_factory=dict)
+    actor: str = ""  # who caused it (username, "system", etc.)
+
+    def to_dict(self) -> dict:
+        """Return a JSON-serializable dictionary."""
+        d = asdict(self)
+        d["timestamp"] = self.timestamp.isoformat()
+        return d
+
+    def to_json(self) -> str:
+        """Return a JSON string."""
+        return json.dumps(self.to_dict())
+
+    @classmethod
+    def from_dict(cls, data: dict) -> "SensoryEvent":
+        """Reconstruct a SensoryEvent from a dictionary."""
+        data = dict(data)  # shallow copy
+        ts = data.get("timestamp")
+        if isinstance(ts, str):
+            data["timestamp"] = datetime.fromisoformat(ts)
+        return cls(**data)