200 lines
6.3 KiB
Python
200 lines
6.3 KiB
Python
"""
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Provide pre-made queries on top of the recorder component.
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For more details about this component, please refer to the documentation at
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https://home-assistant.io/components/history/
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"""
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from collections import defaultdict
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from datetime import timedelta
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from itertools import groupby
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import homeassistant.util.dt as dt_util
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from homeassistant.components import recorder, script
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from homeassistant.components.frontend import register_built_in_panel
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from homeassistant.components.http import HomeAssistantView
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DOMAIN = 'history'
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DEPENDENCIES = ['recorder', 'http']
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SIGNIFICANT_DOMAINS = ('thermostat',)
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IGNORE_DOMAINS = ('zone', 'scene',)
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def last_5_states(entity_id):
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"""Return the last 5 states for entity_id."""
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entity_id = entity_id.lower()
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states = recorder.get_model('States')
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return recorder.execute(
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recorder.query('States').filter(
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(states.entity_id == entity_id) &
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(states.last_changed == states.last_updated)
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).order_by(states.state_id.desc()).limit(5))
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def get_significant_states(start_time, end_time=None, entity_id=None):
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"""
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Return states changes during UTC period start_time - end_time.
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Significant states are all states where there is a state change,
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as well as all states from certain domains (for instance
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thermostat so that we get current temperature in our graphs).
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"""
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states = recorder.get_model('States')
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query = recorder.query('States').filter(
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(states.domain.in_(SIGNIFICANT_DOMAINS) |
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(states.last_changed == states.last_updated)) &
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((~states.domain.in_(IGNORE_DOMAINS)) &
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(states.last_updated > start_time)))
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if end_time is not None:
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query = query.filter(states.last_updated < end_time)
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if entity_id is not None:
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query = query.filter_by(entity_id=entity_id.lower())
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states = (
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state for state in recorder.execute(
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query.order_by(states.entity_id, states.last_updated))
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if _is_significant(state))
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return states_to_json(states, start_time, entity_id)
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def state_changes_during_period(start_time, end_time=None, entity_id=None):
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"""Return states changes during UTC period start_time - end_time."""
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states = recorder.get_model('States')
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query = recorder.query('States').filter(
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(states.last_changed == states.last_updated) &
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(states.last_changed > start_time))
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if end_time is not None:
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query = query.filter(states.last_updated < end_time)
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if entity_id is not None:
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query = query.filter_by(entity_id=entity_id.lower())
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states = recorder.execute(
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query.order_by(states.entity_id, states.last_updated))
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return states_to_json(states, start_time, entity_id)
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def get_states(utc_point_in_time, entity_ids=None, run=None):
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"""Return the states at a specific point in time."""
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if run is None:
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run = recorder.run_information(utc_point_in_time)
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# History did not run before utc_point_in_time
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if run is None:
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return []
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from sqlalchemy import and_, func
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states = recorder.get_model('States')
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most_recent_state_ids = recorder.query(
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func.max(states.state_id).label('max_state_id')
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).filter(
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(states.created >= run.start) &
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(states.created < utc_point_in_time)
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)
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if entity_ids is not None:
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most_recent_state_ids = most_recent_state_ids.filter(
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states.entity_id.in_(entity_ids))
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most_recent_state_ids = most_recent_state_ids.group_by(
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states.entity_id).subquery()
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query = recorder.query('States').join(most_recent_state_ids, and_(
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states.state_id == most_recent_state_ids.c.max_state_id))
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return recorder.execute(query)
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def states_to_json(states, start_time, entity_id):
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"""Convert SQL results into JSON friendly data structure.
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This takes our state list and turns it into a JSON friendly data
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structure {'entity_id': [list of states], 'entity_id2': [list of states]}
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We also need to go back and create a synthetic zero data point for
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each list of states, otherwise our graphs won't start on the Y
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axis correctly.
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"""
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result = defaultdict(list)
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entity_ids = [entity_id] if entity_id is not None else None
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# Get the states at the start time
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for state in get_states(start_time, entity_ids):
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state.last_changed = start_time
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state.last_updated = start_time
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result[state.entity_id].append(state)
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# Append all changes to it
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for entity_id, group in groupby(states, lambda state: state.entity_id):
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result[entity_id].extend(group)
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return result
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def get_state(utc_point_in_time, entity_id, run=None):
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"""Return a state at a specific point in time."""
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states = get_states(utc_point_in_time, (entity_id,), run)
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return states[0] if states else None
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# pylint: disable=unused-argument
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def setup(hass, config):
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"""Setup the history hooks."""
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hass.wsgi.register_view(Last5StatesView)
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hass.wsgi.register_view(HistoryPeriodView)
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register_built_in_panel(hass, 'history', 'History', 'mdi:poll-box')
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return True
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class Last5StatesView(HomeAssistantView):
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"""Handle last 5 state view requests."""
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url = '/api/history/entity/<entity:entity_id>/recent_states'
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name = 'api:history:entity-recent-states'
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def get(self, request, entity_id):
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"""Retrieve last 5 states of entity."""
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return self.json(last_5_states(entity_id))
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class HistoryPeriodView(HomeAssistantView):
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"""Handle history period requests."""
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url = '/api/history/period'
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name = 'api:history:view-period'
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extra_urls = ['/api/history/period/<datetime:datetime>']
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def get(self, request, datetime=None):
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"""Return history over a period of time."""
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one_day = timedelta(days=1)
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if datetime:
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start_time = dt_util.as_utc(datetime)
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else:
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start_time = dt_util.utcnow() - one_day
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end_time = start_time + one_day
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entity_id = request.args.get('filter_entity_id')
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return self.json(
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get_significant_states(start_time, end_time, entity_id).values())
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def _is_significant(state):
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"""Test if state is significant for history charts.
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Will only test for things that are not filtered out in SQL.
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"""
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# scripts that are not cancellable will never change state
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return (state.domain != 'script' or
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state.attributes.get(script.ATTR_CAN_CANCEL))
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