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123 lines
4.2 KiB
Python
123 lines
4.2 KiB
Python
"""Test that min/max/average include enriched attributes."""
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from datetime import UTC, datetime
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import pytest
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from custom_components.tibber_prices.services import _get_price_stat, _get_price_stats
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# Constants for service enrichment tests
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PRICE_MIN = 0.15
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PRICE_MID = 0.25
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PRICE_MAX = 0.35
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PRICE_MINOR_MIN = 15
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PRICE_MINOR_MID = 25
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PRICE_MINOR_MAX = 35
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DIFF_MIN = -10.5
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DIFF_MID = 5.0
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DIFF_MAX = 25.3
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DIFF_MIN_LOW = -15.0
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DIFF_MID_ZERO = 0.0
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PRICE_LOW = 0.10
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PRICE_HIGH = 0.20
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def test_min_max_intervals_include_enriched_attributes() -> None:
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"""Test that min/max intervals contain difference and rating_level."""
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merged = [
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{
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"start_time": "2025-11-01T00:00:00+01:00",
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"end_time": "2025-11-01T01:00:00+01:00",
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"start_dt": datetime(2025, 11, 1, 0, 0, tzinfo=UTC),
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"price": PRICE_MIN,
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"price_minor": PRICE_MINOR_MIN,
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"difference": DIFF_MIN,
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"rating_level": "LOW",
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"level": "VERY_CHEAP",
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},
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{
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"start_time": "2025-11-01T01:00:00+01:00",
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"end_time": "2025-11-01T02:00:00+01:00",
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"start_dt": datetime(2025, 11, 1, 1, 0, tzinfo=UTC),
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"price": PRICE_MID,
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"price_minor": PRICE_MINOR_MID,
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"difference": DIFF_MID,
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"rating_level": "NORMAL",
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"level": "NORMAL",
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},
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{
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"start_time": "2025-11-01T02:00:00+01:00",
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"end_time": "2025-11-01T03:00:00+01:00",
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"start_dt": datetime(2025, 11, 1, 2, 0, tzinfo=UTC),
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"price": PRICE_MAX,
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"price_minor": PRICE_MINOR_MAX,
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"difference": DIFF_MAX,
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"rating_level": "HIGH",
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"level": "EXPENSIVE",
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},
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]
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stats = _get_price_stats(merged)
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# Verify min interval has all attributes
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assert stats.price_min == PRICE_MIN # noqa: S101
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assert stats.price_min_interval is not None # noqa: S101
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assert stats.price_min_interval["difference"] == DIFF_MIN # noqa: S101
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assert stats.price_min_interval["rating_level"] == "LOW" # noqa: S101
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assert stats.price_min_interval["level"] == "VERY_CHEAP" # noqa: S101
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# Verify max interval has all attributes
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assert stats.price_max == PRICE_MAX # noqa: S101
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assert stats.price_max_interval is not None # noqa: S101
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assert stats.price_max_interval["difference"] == DIFF_MAX # noqa: S101
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assert stats.price_max_interval["rating_level"] == "HIGH" # noqa: S101
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assert stats.price_max_interval["level"] == "EXPENSIVE" # noqa: S101
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# Verify average price is calculated
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assert stats.price_avg == pytest.approx( # noqa: S101
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(PRICE_MIN + PRICE_MID + PRICE_MAX) / 3, rel=1e-4
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)
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def test_get_price_stat_returns_full_interval() -> None:
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"""Test that _get_price_stat returns the complete interval dict."""
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merged = [
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{
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"start_time": "2025-11-01T00:00:00+01:00",
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"price": PRICE_LOW,
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"difference": DIFF_MIN_LOW,
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"rating_level": "LOW",
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},
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{
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"start_time": "2025-11-01T01:00:00+01:00",
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"price": PRICE_HIGH,
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"difference": DIFF_MID_ZERO,
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"rating_level": "NORMAL",
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},
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]
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min_price, min_interval = _get_price_stat(merged, "min")
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max_price, max_interval = _get_price_stat(merged, "max")
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# Min should be first interval
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assert min_price == PRICE_LOW # noqa: S101
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assert min_interval is not None # noqa: S101
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assert min_interval["difference"] == DIFF_MIN_LOW # noqa: S101
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assert min_interval["rating_level"] == "LOW" # noqa: S101
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# Max should be second interval
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assert max_price == PRICE_HIGH # noqa: S101
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assert max_interval is not None # noqa: S101
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assert max_interval["difference"] == DIFF_MID_ZERO # noqa: S101
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assert max_interval["rating_level"] == "NORMAL" # noqa: S101
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def test_empty_merged_returns_none_intervals() -> None:
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"""Test that empty merged list returns None for intervals."""
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stats = _get_price_stats([])
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assert stats.price_min == 0 # noqa: S101
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assert stats.price_min_interval is None # noqa: S101
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assert stats.price_max == 0 # noqa: S101
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assert stats.price_max_interval is None # noqa: S101
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assert stats.price_avg == 0 # noqa: S101
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