hass.tibber_prices/tests/services/test_find_service_responses.py
Julian Pawlowski 1d065b11cd fix(services): use injected now in resolve_search_range day offset
_resolve_time_with_day_offset() was calling dt_util.now() internally
instead of using the injected now parameter. This caused incorrect date
calculations in tests and any caller that passes a specific reference time.

Also add missing price_rank_* sensor keys to TIME_SENSITIVE_ENTITY_KEYS
in coordinator/constants.py so quarter-hour refresh is registered for all
11 price rank sensors (current/next/previous interval and hour variants).

Rename dt as dt_utils → dt as dt_util (ICN001) across 11 files to follow
the project-wide import alias convention. Apply ruff auto-fixes for import
ordering and collapsing single-item imports throughout the codebase.

Released-Bug: no
2026-04-14 19:33:24 +00:00

297 lines
11 KiB
Python

"""Tests for find service response contracts: reason codes and schedule comparison details."""
from __future__ import annotations
from datetime import UTC, datetime, timedelta
from types import SimpleNamespace
from typing import TYPE_CHECKING, Any, cast
if TYPE_CHECKING:
from homeassistant.core import ServiceCall
import pytest
from custom_components.tibber_prices.services import (
find_cheapest_block as block_module,
find_cheapest_hours as hours_module,
find_cheapest_schedule as schedule_module,
)
from custom_components.tibber_prices.services.find_cheapest_block import (
_determine_no_window_reason,
handle_find_cheapest_block,
)
from custom_components.tibber_prices.services.find_cheapest_hours import (
_determine_no_intervals_reason,
handle_find_cheapest_hours,
)
from custom_components.tibber_prices.services.find_cheapest_schedule import (
FIND_CHEAPEST_SCHEDULE_SERVICE_SCHEMA,
_compute_task_price_comparison,
_determine_schedule_reason,
)
def _make_intervals(prices: list[float], start: datetime | None = None) -> list[dict]:
"""Create quarter-hour intervals for tests."""
base = start or datetime(2026, 1, 1, 0, 0, tzinfo=UTC)
return [
{
"startsAt": (base + timedelta(minutes=15 * i)).isoformat(),
"total": price,
"level": "NORMAL",
}
for i, price in enumerate(prices)
]
class TestBlockNoResultReasons:
"""Reason classification for contiguous block service."""
def test_reason_no_data(self) -> None:
"""Return no_data_in_range when no intervals exist."""
reason = _determine_no_window_reason([], [], 4, level_filter_active=False)
assert reason == "no_data_in_range"
def test_reason_level_filter_eliminated_all(self) -> None:
"""Return level-filter reason when filters remove all intervals."""
reason = _determine_no_window_reason(
_make_intervals([10.0, 12.0]),
[],
4,
level_filter_active=True,
)
assert reason == "no_intervals_matching_level_filter"
def test_reason_not_enough_intervals_after_filter(self) -> None:
"""Return insufficient_intervals_after_filter for short filtered pool."""
reason = _determine_no_window_reason(
_make_intervals([10.0, 12.0, 13.0]),
_make_intervals([10.0, 12.0]),
4,
level_filter_active=False,
)
assert reason == "insufficient_intervals_after_filter"
class TestHoursNoResultReasons:
"""Reason classification for cheapest/most-expensive hours service."""
def test_reason_no_data(self) -> None:
"""Return no_data_in_range when interval pool is empty."""
reason = _determine_no_intervals_reason([], [], 6, level_filter_active=False)
assert reason == "no_data_in_range"
def test_reason_level_filter_eliminated_all(self) -> None:
"""Return level-filter reason when all intervals are filtered out."""
reason = _determine_no_intervals_reason(
_make_intervals([10.0, 11.0]),
[],
4,
level_filter_active=True,
)
assert reason == "no_intervals_matching_level_filter"
def test_reason_not_enough_intervals_after_filter(self) -> None:
"""Return insufficient_intervals_after_filter when pool is too short."""
reason = _determine_no_intervals_reason(
_make_intervals([10.0, 11.0, 12.0]),
_make_intervals([10.0, 11.0]),
4,
level_filter_active=False,
)
assert reason == "insufficient_intervals_after_filter"
class TestScheduleReasonAndComparison:
"""Schedule service reason codes and comparison details behavior."""
def test_schedule_reason_no_data(self) -> None:
"""Return no_data_in_range when schedule has no source intervals."""
reason = _determine_schedule_reason(
all_tasks_scheduled=False,
assignments_count=0,
price_info=[],
filtered_price_info=[],
level_filter_active=False,
)
assert reason == "no_data_in_range"
def test_schedule_reason_level_filter(self) -> None:
"""Return level-filter reason when filter removes all schedule candidates."""
reason = _determine_schedule_reason(
all_tasks_scheduled=False,
assignments_count=0,
price_info=_make_intervals([10.0, 20.0]),
filtered_price_info=[],
level_filter_active=True,
)
assert reason == "no_intervals_matching_level_filter"
def test_schedule_reason_partial(self) -> None:
"""Return partial-schedule reason when some tasks remain unscheduled."""
reason = _determine_schedule_reason(
all_tasks_scheduled=False,
assignments_count=1,
price_info=_make_intervals([10.0, 20.0, 30.0]),
filtered_price_info=_make_intervals([10.0, 20.0, 30.0]),
level_filter_active=False,
)
assert reason == "insufficient_contiguous_window_for_some_tasks"
def test_schedule_schema_accepts_include_comparison_details(self) -> None:
"""Schedule schema should accept include_comparison_details flag."""
result = cast(
"dict[str, Any]",
FIND_CHEAPEST_SCHEDULE_SERVICE_SCHEMA(
{
"tasks": [{"name": "dishwasher", "duration": timedelta(hours=2)}],
"include_comparison_details": True,
}
),
)
assert result["include_comparison_details"] is True
def test_task_comparison_includes_details(self) -> None:
"""Task comparison helper should emit detail fields when enabled."""
full_intervals = _make_intervals([5.0, 10.0, 50.0, 60.0])
task_intervals = full_intervals[:2]
comparison = _compute_task_price_comparison(
task_intervals,
full_intervals,
1,
include_details=True,
)
assert comparison is not None
assert "comparison_price_mean" in comparison
assert "comparison_price_min" in comparison
assert "comparison_price_max" in comparison
assert "comparison_window_start" in comparison
assert "comparison_window_end" in comparison
class _FakePool:
"""Minimal async interval pool for service handler tests."""
def __init__(self, intervals: list[dict]) -> None:
"""Store static interval list returned by get_intervals."""
self._intervals = intervals
async def get_intervals(self, **_kwargs: object) -> tuple[list[dict], bool]:
"""Return predefined intervals and no API-call marker."""
return self._intervals, False
def _build_fake_entry_and_coordinator(intervals: list[dict]) -> tuple[SimpleNamespace, SimpleNamespace, dict]:
"""Build a minimal entry/coordinator/data tuple used by service handlers."""
pool = _FakePool(intervals)
entry = SimpleNamespace(
data={"home_id": "home_1", "currency": "EUR"},
runtime_data=SimpleNamespace(interval_pool=pool),
)
coordinator = SimpleNamespace(
api=object(),
_cached_user_data={"viewer": {"homes": [{"id": "home_1", "timeZone": "UTC"}]}},
)
data = {"priceInfo": intervals}
return entry, coordinator, data
@pytest.mark.asyncio
async def test_block_handler_returns_level_filter_reason(monkeypatch: pytest.MonkeyPatch) -> None:
"""Block handler should return reason when level filter eliminates all intervals."""
intervals = _make_intervals([10.0, 11.0, 12.0, 13.0])
fake_tuple = _build_fake_entry_and_coordinator(intervals)
monkeypatch.setattr(block_module, "get_entry_and_data", lambda _hass, _entry_id: fake_tuple)
monkeypatch.setattr(block_module, "resolve_home_timezone", lambda _coord, _home_id: "UTC")
monkeypatch.setattr(
block_module,
"resolve_search_range",
lambda _call_data, _now, _home_tz: (
datetime(2026, 1, 1, 0, 0, tzinfo=UTC),
datetime(2026, 1, 1, 2, 0, tzinfo=UTC),
),
)
call = SimpleNamespace(
hass=object(),
data={
"duration": timedelta(hours=1),
"max_price_level": "very_cheap",
"use_base_unit": True,
},
)
response = cast("dict[str, Any]", await handle_find_cheapest_block(cast("ServiceCall", call)))
assert response["window_found"] is False
assert response["reason"] == "no_intervals_matching_level_filter"
@pytest.mark.asyncio
async def test_hours_handler_returns_insufficient_intervals_reason(monkeypatch: pytest.MonkeyPatch) -> None:
"""Hours handler should return insufficient_intervals_after_filter when pool is too short."""
intervals = _make_intervals([10.0, 11.0, 12.0]) # 3 intervals only
fake_tuple = _build_fake_entry_and_coordinator(intervals)
monkeypatch.setattr(hours_module, "get_entry_and_data", lambda _hass, _entry_id: fake_tuple)
monkeypatch.setattr(hours_module, "resolve_home_timezone", lambda _coord, _home_id: "UTC")
monkeypatch.setattr(
hours_module,
"resolve_search_range",
lambda _call_data, _now, _home_tz: (
datetime(2026, 1, 1, 0, 0, tzinfo=UTC),
datetime(2026, 1, 1, 2, 0, tzinfo=UTC),
),
)
call = SimpleNamespace(
hass=object(),
data={
"duration": timedelta(hours=1), # needs 4 intervals
"use_base_unit": True,
},
)
response = cast("dict[str, Any]", await handle_find_cheapest_hours(cast("ServiceCall", call)))
assert response["intervals_found"] is False
assert response["reason"] == "insufficient_intervals_after_filter"
@pytest.mark.asyncio
async def test_schedule_handler_adds_per_task_comparison_details(monkeypatch: pytest.MonkeyPatch) -> None:
"""Schedule handler should include per-task comparison details when requested."""
intervals = _make_intervals([5.0, 6.0, 50.0, 60.0])
fake_tuple = _build_fake_entry_and_coordinator(intervals)
monkeypatch.setattr(schedule_module, "get_entry_and_data", lambda _hass, _entry_id: fake_tuple)
monkeypatch.setattr(schedule_module, "resolve_home_timezone", lambda _coord, _home_id: "UTC")
monkeypatch.setattr(
schedule_module,
"resolve_search_range",
lambda _call_data, _now, _home_tz: (
datetime(2026, 1, 1, 0, 0, tzinfo=UTC),
datetime(2026, 1, 1, 2, 0, tzinfo=UTC),
),
)
call = SimpleNamespace(
hass=object(),
data={
"tasks": [{"name": "dishwasher", "duration": timedelta(minutes=30)}],
"include_comparison_details": True,
"use_base_unit": True,
},
)
response = cast("dict[str, Any]", await schedule_module.handle_find_cheapest_schedule(cast("ServiceCall", call)))
assert response["all_tasks_scheduled"] is True
assert response["reason"] is None
tasks = cast("list[dict[str, Any]]", response["tasks"])
assert len(tasks) == 1
comparison = cast("dict[str, Any] | None", tasks[0]["price_comparison"])
assert comparison is not None
assert "comparison_price_min" in comparison
assert "comparison_price_max" in comparison
assert "comparison_window_end" in comparison