hass.tibber_prices/custom_components/tibber_prices/sensor/attributes/timing.py
Julian Pawlowski ac7cd5b572 fix(lint): apply Python 3.14 ruff rules and update HA minimum version
Add UP037 to ruff ignore list to preserve quoted TYPE_CHECKING forward
references (PEP 649 lazy eval breaks get_type_hints() at runtime for
TYPE_CHECKING-guarded imports).

Move datetime imports into TYPE_CHECKING blocks in sensor/calculators
timing.py and trend.py (TC003, type-only usage confirmed).

Apply PEP 758 parenthesis-free except clauses across 7 files via
ruff format with target-version=py314.

Update hacs.json minimum HA version to 2026.4.0, the first HA release
requiring Python 3.14.

Impact: Linter config now correctly handles Python 3.14 semantics.
Users need HA >= 2026.4 (Python 3.14) to use this integration.
2026-04-11 10:56:34 +00:00

95 lines
3.3 KiB
Python

"""Period timing attribute builders for Tibber Prices sensors."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any
from custom_components.tibber_prices.entity_utils import add_icon_color_attribute
if TYPE_CHECKING:
from custom_components.tibber_prices.coordinator.time_service import TibberPricesTimeService
# Timer #3 triggers every 30 seconds
TIMER_30_SEC_BOUNDARY = 30
def _hours_to_minutes(state_value: Any) -> int | None:
"""Convert hour-based state back to rounded minutes for attributes."""
if state_value is None:
return None
try:
return round(float(state_value) * 60)
except TypeError, ValueError:
return None
def _is_timing_or_volatility_sensor(key: str) -> bool:
"""Check if sensor is a timing or volatility sensor."""
return key.endswith("_volatility") or (
key.startswith(("best_price_", "peak_price_"))
and any(
suffix in key
for suffix in [
"end_time",
"remaining_minutes",
"progress",
"next_start_time",
"next_in_minutes",
]
)
)
def add_period_timing_attributes(
attributes: dict,
key: str,
state_value: Any = None,
*,
time: TibberPricesTimeService,
) -> None:
"""
Add timestamp and icon_color attributes for best_price/peak_price timing sensors.
The timestamp indicates when the sensor value was calculated:
- Quarter-hour sensors (end_time, next_start_time): Rounded to 15-min boundary (:00, :15, :30, :45)
- 30-second update sensors (remaining_minutes, progress, next_in_minutes): Current time with seconds
Args:
attributes: Dictionary to add attributes to
key: The sensor entity key (e.g., "best_price_end_time")
state_value: Current sensor value for icon_color calculation
time: TibberPricesTimeService instance (required)
"""
# Determine if this is a quarter-hour or 30-second update sensor
is_quarter_hour_sensor = key.endswith(("_end_time", "_next_start_time"))
now = time.now()
if is_quarter_hour_sensor:
# Quarter-hour sensors: Use timestamp of current 15-minute interval
# Round down to the nearest quarter hour (:00, :15, :30, :45)
minute = (now.minute // 15) * 15
timestamp = now.replace(minute=minute, second=0, microsecond=0)
else:
# 30-second update sensors: Round to nearest 30-second boundary (:00 or :30)
# Timer triggers at :00 and :30, so round current time to these boundaries
second = 0 if now.second < TIMER_30_SEC_BOUNDARY else TIMER_30_SEC_BOUNDARY
timestamp = now.replace(second=second, microsecond=0)
attributes["timestamp"] = timestamp
# Add minute-precision attributes for hour-based states to keep automation-friendly values
minute_value = _hours_to_minutes(state_value)
if minute_value is not None:
if key.endswith("period_duration"):
attributes["period_duration_minutes"] = minute_value
elif key.endswith("remaining_minutes"):
attributes["remaining_minutes"] = minute_value
elif key.endswith("next_in_minutes"):
attributes["next_in_minutes"] = minute_value
# Add icon_color for dynamic styling
add_icon_color_attribute(attributes, key=key, state_value=state_value)