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https://github.com/jpawlowski/hass.tibber_prices.git
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test(services): add end-to-end regression test for must_finish_by fix
Add a real (non-mocked) end-to-end test exercising apply_must_finish_by
and resolve_search_range together with a range-filtering fake pool,
reproducing the exact scenario from GH #168: a naive must_finish_by
datetime combined with search_start_day_offset: 0. The underlying fix
already landed in db5d172 but had no test covering the full request
pipeline (only individual helpers were mocked in existing tests).
Release-Notes: skip
User-Impact: none
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@ -5,6 +5,7 @@ from __future__ import annotations
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from datetime import UTC, datetime, timedelta
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from types import SimpleNamespace
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from typing import TYPE_CHECKING, Any, cast
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from zoneinfo import ZoneInfo
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if TYPE_CHECKING:
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from homeassistant.core import ServiceCall
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@ -351,6 +352,103 @@ async def test_block_handler_preserves_service_search_data(monkeypatch: pytest.M
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assert response["must_finish_by"] == deadline.isoformat()
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class _FakeRangeFilteringPool:
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"""Fake interval pool that honors start_time/end_time like the real pool.
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Unlike `_FakePool`, this filters the static interval list by the
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requested [start_time, end_time) range, so tests using it will fail if a
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service handler resolves the wrong search range (regression guard for
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GH issue #168).
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"""
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def __init__(self, intervals: list[dict]) -> None:
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"""Store the full static interval list."""
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self._intervals = intervals
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async def get_intervals(
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self, *, start_time: datetime, end_time: datetime, **_kwargs: object
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) -> tuple[list[dict], bool]:
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"""Return only intervals within [start_time, end_time)."""
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filtered = [iv for iv in self._intervals if start_time <= datetime.fromisoformat(iv["startsAt"]) < end_time]
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return filtered, False
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@pytest.mark.asyncio
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async def test_block_handler_must_finish_by_end_to_end_regression(monkeypatch: pytest.MonkeyPatch) -> None:
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"""GH #168 regression: must_finish_by must actually constrain the found window.
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Uses the real `apply_must_finish_by` and `resolve_search_range` (no mocking)
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plus a range-filtering fake pool, reproducing the exact bug reported: a
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naive `must_finish_by` datetime combined with `search_start_day_offset: 0`
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used to be silently ignored, letting the found window run past the deadline.
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"""
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# Use UTC as the home timezone: HA's test environment default timezone
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# (dt_util.DEFAULT_TIME_ZONE) is also UTC, so the naive `must_finish_by`
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# datetime below localizes 1:1 without an additional offset shift. This
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# keeps the test focused on the search-range regression rather than
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# timezone-conversion arithmetic.
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home_tz = ZoneInfo("UTC")
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day_start = datetime(2026, 6, 29, 0, 0, tzinfo=home_tz)
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# Full day of quarter-hour intervals: expensive by default, very cheap in
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# the afternoon (12:00-16:00) and moderately cheap in the morning
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# (08:00-12:00). Without the deadline, the cheapest 4h block is the
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# afternoon one (which ends after the 12:00 deadline).
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prices = [50.0] * 96
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for i in range(32, 48): # 08:00-12:00
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prices[i] = 20.0
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for i in range(48, 64): # 12:00-16:00
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prices[i] = 10.0
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intervals = _make_intervals(prices, start=day_start)
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pool = _FakeRangeFilteringPool(intervals)
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entry = SimpleNamespace(
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data={"home_id": "home_1", "currency": "EUR"},
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options={},
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runtime_data=SimpleNamespace(interval_pool=pool),
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)
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coordinator = SimpleNamespace(
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api=object(),
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_cached_user_data={"viewer": {"homes": [{"id": "home_1", "timeZone": "UTC"}]}},
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)
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coordinator_data = {"priceInfo": intervals}
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monkeypatch.setattr(
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block_module, "get_entry_and_data", lambda _hass, _entry_id: (entry, coordinator, coordinator_data)
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)
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# Fix "now" so the default search_start (no search_start_time given) is deterministic.
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fixed_now = datetime(2026, 6, 28, 22, 0, tzinfo=UTC)
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monkeypatch.setattr(block_module.dt_util, "now", lambda *_a, **_k: fixed_now)
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# Matches what voluptuous' cv.datetime produces for the naive string
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# "2026-06-29 12:00:00" reported in GH #168 (no tzinfo attached yet).
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call = SimpleNamespace(
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hass=object(),
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data={
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"duration": timedelta(hours=4),
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"search_start_day_offset": 0,
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"must_finish_by": datetime(2026, 6, 29, 12, 0),
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"smooth_outliers": False,
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"allow_relaxation": False,
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"use_base_unit": True,
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},
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)
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response = cast("dict[str, Any]", await handle_find_cheapest_block(cast("ServiceCall", call)))
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deadline = datetime(2026, 6, 29, 12, 0, tzinfo=home_tz)
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assert response["must_finish_by"] == deadline.isoformat()
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assert response["search_end"] == deadline.isoformat()
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assert response["window_found"] is True
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window = cast("dict[str, Any]", response["window"])
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window_end = datetime.fromisoformat(window["end"])
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assert window_end <= deadline
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# The morning block (08:00-12:00, price 20.0) must be selected, not the
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# cheaper afternoon block that would violate the deadline.
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assert window["price_mean"] == 20.0
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@pytest.mark.asyncio
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async def test_hours_handler_preserves_service_search_data(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Hours handler must pass resolved call data (not coordinator data) into search helpers."""
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