Files
Tetra-AI-HA-Integration/custom_components/openclaw/coordinator.py
T

223 lines
8.3 KiB
Python

"""DataUpdateCoordinator for the OpenClaw integration."""
from __future__ import annotations
from datetime import datetime, timedelta, timezone
import logging
from typing import Any
from homeassistant.core import HomeAssistant
from homeassistant.helpers.update_coordinator import DataUpdateCoordinator, UpdateFailed
from .api import (
OpenClawApiClient,
OpenClawApiError,
OpenClawAuthError,
OpenClawConnectionError,
)
from .const import (
DATA_CONNECTED,
DATA_CONTEXT_WINDOW,
DATA_GATEWAY_VERSION,
DATA_LAST_TOOL_DURATION_MS,
DATA_LAST_TOOL_ERROR,
DATA_LAST_TOOL_INVOKED_AT,
DATA_LAST_TOOL_NAME,
DATA_LAST_TOOL_RESULT_PREVIEW,
DATA_LAST_TOOL_STATUS,
DATA_LAST_ACTIVITY,
DATA_MODEL,
DATA_PROVIDER,
DATA_SESSION_COUNT,
DATA_SESSIONS,
DATA_STATUS,
DATA_UPTIME,
DEFAULT_SCAN_INTERVAL,
DOMAIN,
)
_LOGGER = logging.getLogger(__name__)
class OpenClawCoordinator(DataUpdateCoordinator[dict[str, Any]]):
"""Coordinator that polls the OpenClaw gateway for status updates.
Fetches status, session info, and model info on a regular interval
and makes the data available to sensor/binary_sensor entities.
Handles:
- Transient connection failures (returns offline data, no UpdateFailed)
- Auth failures (triggers filesystem token re-read)
- Model info cached separately with a longer poll interval
"""
def __init__(
self,
hass: HomeAssistant,
client: OpenClawApiClient,
) -> None:
"""Initialize the coordinator."""
super().__init__(
hass,
_LOGGER,
name=DOMAIN,
update_interval=timedelta(seconds=DEFAULT_SCAN_INTERVAL),
)
self.client = client
self._last_activity: datetime | None = None
self._model_cache: dict[str, Any] = {}
self._consecutive_failures = 0
self._last_tool_state: dict[str, Any] = {
DATA_LAST_TOOL_NAME: None,
DATA_LAST_TOOL_STATUS: None,
DATA_LAST_TOOL_DURATION_MS: None,
DATA_LAST_TOOL_INVOKED_AT: None,
DATA_LAST_TOOL_ERROR: None,
DATA_LAST_TOOL_RESULT_PREVIEW: None,
}
def _offline_data(self) -> dict[str, Any]:
"""Return a data dict representing the offline state."""
return {
DATA_STATUS: "offline",
DATA_CONNECTED: False,
DATA_SESSION_COUNT: 0,
DATA_SESSIONS: [],
DATA_MODEL: self._model_cache.get(DATA_MODEL),
DATA_LAST_ACTIVITY: self._last_activity,
DATA_GATEWAY_VERSION: None,
DATA_UPTIME: None,
DATA_PROVIDER: self._model_cache.get(DATA_PROVIDER),
DATA_CONTEXT_WINDOW: self._model_cache.get(DATA_CONTEXT_WINDOW),
DATA_LAST_TOOL_NAME: self._last_tool_state.get(DATA_LAST_TOOL_NAME),
DATA_LAST_TOOL_STATUS: self._last_tool_state.get(DATA_LAST_TOOL_STATUS),
DATA_LAST_TOOL_DURATION_MS: self._last_tool_state.get(DATA_LAST_TOOL_DURATION_MS),
DATA_LAST_TOOL_INVOKED_AT: self._last_tool_state.get(DATA_LAST_TOOL_INVOKED_AT),
DATA_LAST_TOOL_ERROR: self._last_tool_state.get(DATA_LAST_TOOL_ERROR),
DATA_LAST_TOOL_RESULT_PREVIEW: self._last_tool_state.get(DATA_LAST_TOOL_RESULT_PREVIEW),
}
async def _async_update_data(self) -> dict[str, Any]:
"""Fetch data from the OpenClaw gateway.
The OpenClaw gateway does not implement /v1/models — only
/v1/chat/completions is guaranteed. We use a lightweight base-URL
ping (``async_check_alive``) to confirm the gateway process is
running and then attempt ``async_get_models`` as a best-effort call.
Returns:
Aggregated data dict for all entities.
"""
data = self._offline_data()
# ── Connectivity check (base URL ping) ─────────────────────
try:
alive = await self.client.async_check_alive()
if not alive:
return data
data[DATA_STATUS] = "online"
data[DATA_CONNECTED] = True
data[DATA_GATEWAY_VERSION] = None
data[DATA_UPTIME] = None
data[DATA_SESSION_COUNT] = 0
data[DATA_SESSIONS] = []
data[DATA_LAST_ACTIVITY] = self._last_activity
self._consecutive_failures = 0
except OpenClawConnectionError:
self._consecutive_failures += 1
if self._consecutive_failures <= 3:
_LOGGER.debug("Gateway unreachable (attempt %d)", self._consecutive_failures)
elif self._consecutive_failures == 4:
_LOGGER.warning(
"Gateway has been unreachable for %d consecutive polls",
self._consecutive_failures,
)
return data
# ── Best-effort model info (/v1/models may not exist) ──────
try:
models_resp = await self.client.async_get_models()
models = models_resp.get("data", [])
if models:
current = models[0]
self._model_cache = {
DATA_MODEL: current.get("id", "unknown"),
DATA_PROVIDER: current.get("owned_by"),
DATA_CONTEXT_WINDOW: current.get("context_window"),
}
except OpenClawAuthError as err:
_LOGGER.warning("Gateway auth failed during poll: %s", err)
await self._try_refresh_token()
except OpenClawApiError:
# /v1/models not implemented — expected, not an error
pass
# ── Best-effort sessions_list via tools invoke ──────────────
try:
tool_resp = await self.client.async_invoke_tool(
tool="sessions_list",
action="json",
args={},
)
result = tool_resp.get("result") if isinstance(tool_resp, dict) else None
sessions: list[dict[str, Any]] = []
if isinstance(result, list):
sessions = [item for item in result if isinstance(item, dict)]
elif isinstance(result, dict):
candidates = result.get("sessions") or result.get("items") or result.get("data")
if isinstance(candidates, list):
sessions = [item for item in candidates if isinstance(item, dict)]
if sessions:
data[DATA_SESSIONS] = sessions
data[DATA_SESSION_COUNT] = len(sessions)
except OpenClawApiError:
# tools endpoint may be policy-limited; not fatal
pass
data.update(self._model_cache)
data.update(self._last_tool_state)
return data
async def _try_refresh_token(self) -> None:
"""Attempt to re-read the gateway token via the refresh callback."""
entry_data = self.hass.data.get(DOMAIN, {})
for eid, ed in entry_data.items():
if isinstance(ed, dict) and "refresh_token" in ed:
refresh_fn = ed["refresh_token"]
if await refresh_fn():
_LOGGER.info("Token refreshed successfully — next poll should succeed")
return
_LOGGER.debug("No token refresh callback available")
def update_last_activity(self) -> None:
"""Update the last activity timestamp to now.
Called when a message is sent/received through the integration.
"""
self._last_activity = datetime.now(timezone.utc)
def record_tool_invocation(
self,
*,
tool_name: str,
ok: bool,
duration_ms: int,
error_message: str | None = None,
result_preview: str | None = None,
) -> None:
"""Store latest tool invocation metadata and update entities immediately."""
self._last_tool_state = {
DATA_LAST_TOOL_NAME: tool_name,
DATA_LAST_TOOL_STATUS: "ok" if ok else "error",
DATA_LAST_TOOL_DURATION_MS: duration_ms,
DATA_LAST_TOOL_INVOKED_AT: datetime.now(timezone.utc),
DATA_LAST_TOOL_ERROR: error_message,
DATA_LAST_TOOL_RESULT_PREVIEW: result_preview,
}
current = dict(self.data or self._offline_data())
current.update(self._last_tool_state)
self.async_set_updated_data(current)