core/homeassistant/components/automation/trace.py

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"""Trace support for automation."""
from collections import OrderedDict
from contextlib import contextmanager
import datetime as dt
from datetime import timedelta
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from itertools import count
import logging
from typing import Any, Awaitable, Callable, Deque, Dict, Optional
from homeassistant.core import Context, HomeAssistant, callback
from homeassistant.helpers.json import JSONEncoder as HAJSONEncoder
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from homeassistant.helpers.trace import TraceElement, trace_id_set
from homeassistant.helpers.typing import TemplateVarsType
from homeassistant.util import dt as dt_util
DATA_AUTOMATION_TRACE = "automation_trace"
STORED_TRACES = 5 # Stored traces per automation
_LOGGER = logging.getLogger(__name__)
AutomationActionType = Callable[[HomeAssistant, TemplateVarsType], Awaitable[None]]
# mypy: allow-untyped-calls, allow-untyped-defs
# mypy: no-check-untyped-defs, no-warn-return-any
class AutomationTrace:
"""Container for automation trace."""
_run_ids = count(0)
def __init__(
self,
unique_id: Optional[str],
config: Dict[str, Any],
context: Context,
):
"""Container for automation trace."""
self._action_trace: Optional[Dict[str, Deque[TraceElement]]] = None
self._condition_trace: Optional[Dict[str, Deque[TraceElement]]] = None
self._config: Dict[str, Any] = config
self._context: Context = context
self._error: Optional[Exception] = None
self._state: str = "running"
self.run_id: str = str(next(self._run_ids))
self._timestamp_finish: Optional[dt.datetime] = None
self._timestamp_start: dt.datetime = dt_util.utcnow()
self._unique_id: Optional[str] = unique_id
self._variables: Optional[Dict[str, Any]] = None
def set_action_trace(self, trace: Dict[str, Deque[TraceElement]]) -> None:
"""Set action trace."""
self._action_trace = trace
def set_condition_trace(self, trace: Dict[str, Deque[TraceElement]]) -> None:
"""Set condition trace."""
self._condition_trace = trace
def set_error(self, ex: Exception) -> None:
"""Set error."""
self._error = ex
def set_variables(self, variables: Dict[str, Any]) -> None:
"""Set variables."""
self._variables = variables
def finished(self) -> None:
"""Set finish time."""
self._timestamp_finish = dt_util.utcnow()
self._state = "stopped"
def as_dict(self) -> Dict[str, Any]:
"""Return dictionary version of this AutomationTrace."""
result = self.as_short_dict()
action_traces = {}
condition_traces = {}
if self._action_trace:
for key, trace_list in self._action_trace.items():
action_traces[key] = [item.as_dict() for item in trace_list]
if self._condition_trace:
for key, trace_list in self._condition_trace.items():
condition_traces[key] = [item.as_dict() for item in trace_list]
result.update(
{
"action_trace": action_traces,
"condition_trace": condition_traces,
"config": self._config,
"context": self._context,
"variables": self._variables,
}
)
if self._error is not None:
result["error"] = str(self._error)
return result
def as_short_dict(self) -> Dict[str, Any]:
"""Return a brief dictionary version of this AutomationTrace."""
last_action = None
last_condition = None
trigger = None
if self._action_trace:
last_action = list(self._action_trace)[-1]
if self._condition_trace:
last_condition = list(self._condition_trace)[-1]
if self._variables:
trigger = self._variables.get("trigger", {}).get("description")
result = {
"automation_id": self._unique_id,
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"last_action": last_action,
"last_condition": last_condition,
"run_id": self.run_id,
"state": self._state,
"timestamp": {
"start": self._timestamp_start,
"finish": self._timestamp_finish,
},
"trigger": trigger,
"unique_id": self._unique_id,
}
if self._error is not None:
result["error"] = str(self._error)
if last_action is not None:
result["last_action"] = last_action
result["last_condition"] = last_condition
return result
class LimitedSizeDict(OrderedDict):
"""OrderedDict limited in size."""
def __init__(self, *args, **kwds):
"""Initialize OrderedDict limited in size."""
self.size_limit = kwds.pop("size_limit", None)
OrderedDict.__init__(self, *args, **kwds)
self._check_size_limit()
def __setitem__(self, key, value):
"""Set item and check dict size."""
OrderedDict.__setitem__(self, key, value)
self._check_size_limit()
def _check_size_limit(self):
"""Check dict size and evict items in FIFO order if needed."""
if self.size_limit is not None:
while len(self) > self.size_limit:
self.popitem(last=False)
@contextmanager
def trace_automation(hass, unique_id, config, context):
"""Trace action execution of automation with automation_id."""
automation_trace = AutomationTrace(unique_id, config, context)
trace_id_set((unique_id, automation_trace.run_id))
if unique_id:
automation_traces = hass.data[DATA_AUTOMATION_TRACE]
if unique_id not in automation_traces:
automation_traces[unique_id] = LimitedSizeDict(size_limit=STORED_TRACES)
automation_traces[unique_id][automation_trace.run_id] = automation_trace
try:
yield automation_trace
except Exception as ex: # pylint: disable=broad-except
if unique_id:
automation_trace.set_error(ex)
raise ex
finally:
if unique_id:
automation_trace.finished()
@callback
def get_debug_trace(hass, automation_id, run_id):
"""Return a serializable debug trace."""
return hass.data[DATA_AUTOMATION_TRACE][automation_id][run_id]
@callback
def get_debug_traces_for_automation(hass, automation_id, summary=False):
"""Return a serializable list of debug traces for an automation."""
traces = []
for trace in hass.data[DATA_AUTOMATION_TRACE].get(automation_id, {}).values():
if summary:
traces.append(trace.as_short_dict())
else:
traces.append(trace.as_dict())
return traces
@callback
def get_debug_traces(hass, summary=False):
"""Return a serializable list of debug traces."""
traces = []
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for automation_id in hass.data[DATA_AUTOMATION_TRACE]:
traces.extend(get_debug_traces_for_automation(hass, automation_id, summary))
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return traces
class TraceJSONEncoder(HAJSONEncoder):
"""JSONEncoder that supports Home Assistant objects and falls back to repr(o)."""
def default(self, o: Any) -> Any:
"""Convert certain objects.
Fall back to repr(o).
"""
if isinstance(o, timedelta):
return {"__type": str(type(o)), "total_seconds": o.total_seconds()}
try:
return super().default(o)
except TypeError:
return {"__type": str(type(o)), "repr": repr(o)}