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Running on Zero
Running on Zero
File size: 1,570 Bytes
7f9dfed | 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 | from __future__ import annotations
import logging
from dataclasses import asdict
from core.events import Event, EventBus, EventType
from tracking.trackio_client import TrackingClient
class AppState:
"""Shared in-process state for UI events and lightweight traces."""
def __init__(
self,
event_bus: EventBus | None = None,
tracking_client: TrackingClient | None = None,
) -> None:
self.event_bus = event_bus or EventBus()
self.events: list[Event] = []
self.logger = logging.getLogger("openbmb_workbench")
self.tracking_client = tracking_client or TrackingClient()
self.tracking_client.init()
def emit(self, event: Event) -> None:
self.events.append(event)
self.logger.info("event=%s payload=%s", event.type.value, event.payload)
self.tracking_client.log(event.type.value, event.payload)
self.event_bus.emit(event)
def recent_events(self, limit: int = 20) -> list[dict]:
recent = self.events[-limit:]
return [asdict(event) for event in recent]
def emit_inference_response(
mode: str,
model_id: str,
backend: str,
response: str,
state: AppState | None = None,
) -> None:
target_state = state or APP_STATE
target_state.emit(
Event(
EventType.INFERENCE_RESPONSE,
{
"mode": mode,
"model_id": model_id,
"backend": backend,
"response_chars": len(response),
},
)
)
APP_STATE = AppState()
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