willemjan
79249958c2
willemjan/glucose-dashboard/pipeline/head This commit looks good
Fetch and parse the latest-used Nightscout profile (basal schedule, ISF, carb ratio, DIA, targets) and show it as a new dashboard page: a list of basal/ISF/carb-ratio segments plus a bar chart of basal rate by hour of day. This is the data foundation for treatment overlays on the glucose charts and the redesigned PDF report in follow-up PRs.
118 lines
4.1 KiB
Python
118 lines
4.1 KiB
Python
import pytest
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import profile_data as pd_
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def _raw_profile(units="mg/dl", default_name="Default"):
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return {
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"defaultProfile": default_name,
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"store": {
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"Default": {
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"units": units,
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"dia": "5",
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"basal": [
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{"time": "00:00", "value": "0.8"},
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{"time": "06:00", "value": "1.2"},
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{"time": "22:00", "value": "0.7"},
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],
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"sens": [{"time": "00:00", "value": "50"}],
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"carbratio": [{"time": "00:00", "value": "10"}],
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"target_low": [{"time": "00:00", "value": "90"}],
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"target_high": [{"time": "00:00", "value": "120"}],
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}
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},
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}
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def test_parse_profile_returns_empty_dict_for_empty_input():
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assert pd_.parse_profile({}) == {}
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def test_parse_profile_converts_mgdl_to_mmol():
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profile = pd_.parse_profile(_raw_profile(units="mg/dl"))
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assert profile["units"] == "mmol"
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# 90 mg/dl -> ~5.0 mmol/L, 120 mg/dl -> ~6.7 mmol/L, 50 mg/dl (ISF) -> ~2.8 mmol/L
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assert profile["target_low"][0]["value"] == pytest.approx(5.0, abs=0.05)
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assert profile["target_high"][0]["value"] == pytest.approx(6.7, abs=0.05)
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assert profile["sens"][0]["value"] == pytest.approx(2.8, abs=0.05)
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def test_parse_profile_leaves_mmol_profiles_unconverted():
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profile = pd_.parse_profile(_raw_profile(units="mmol"))
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assert profile["target_low"][0]["value"] == pytest.approx(90.0)
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def test_parse_profile_does_not_convert_basal_or_carbratio():
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profile = pd_.parse_profile(_raw_profile(units="mg/dl"))
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assert profile["basal"][0]["value"] == pytest.approx(0.8)
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assert profile["carbratio"][0]["value"] == pytest.approx(10.0)
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def test_parse_profile_sorts_basal_segments_by_time():
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raw = _raw_profile()
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raw["store"]["Default"]["basal"] = [
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{"time": "22:00", "value": "0.7"},
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{"time": "00:00", "value": "0.8"},
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{"time": "06:00", "value": "1.2"},
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]
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profile = pd_.parse_profile(raw)
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assert [seg["minutes"] for seg in profile["basal"]] == [0, 360, 1320]
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def test_parse_profile_falls_back_to_first_profile_when_default_name_missing():
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raw = _raw_profile(default_name="DoesNotExist")
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profile = pd_.parse_profile(raw)
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assert profile["dia"] == pytest.approx(5.0)
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def test_parse_profile_dia_and_name():
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profile = pd_.parse_profile(_raw_profile())
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assert profile["dia"] == pytest.approx(5.0)
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assert profile["name"] == "Default"
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def test_value_at_returns_active_segment():
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segments = [{"minutes": 0, "value": 0.8}, {"minutes": 360, "value": 1.2}, {"minutes": 1320, "value": 0.7}]
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assert pd_.value_at(segments, 100) == pytest.approx(0.8)
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assert pd_.value_at(segments, 360) == pytest.approx(1.2)
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assert pd_.value_at(segments, 1000) == pytest.approx(1.2)
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assert pd_.value_at(segments, 1350) == pytest.approx(0.7)
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def test_value_at_wraps_to_last_segment_before_first():
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segments = [{"minutes": 360, "value": 1.2}, {"minutes": 1320, "value": 0.7}]
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assert pd_.value_at(segments, 100) == pytest.approx(0.7)
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def test_value_at_empty_segments_returns_none():
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assert pd_.value_at([], 100) is None
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def test_segments_table_computes_end_times_from_next_segment():
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segments = [{"minutes": 0, "value": 0.8}, {"minutes": 360, "value": 1.2}]
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rows = pd_.segments_table(segments)
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assert rows == [
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{"start": "00:00", "end": "06:00", "value": 0.8},
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{"start": "06:00", "end": "24:00", "value": 1.2},
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]
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def test_segments_to_hourly_bars_closes_the_24h_loop():
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segments = [{"minutes": 0, "value": 0.8}, {"minutes": 360, "value": 1.2}]
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bars = pd_.segments_to_hourly_bars(segments)
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assert bars[-1] == {"hour": 24.0, "value": 0.8}
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def test_segments_to_hourly_bars_empty_input():
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assert pd_.segments_to_hourly_bars([]) == []
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def test_total_daily_basal_weights_by_segment_duration():
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# 6h @ 0.8 + 18h @ 1.2 = 4.8 + 21.6 = 26.4
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segments = [{"minutes": 0, "value": 0.8}, {"minutes": 360, "value": 1.2}]
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assert pd_.total_daily_basal(segments) == pytest.approx(26.4)
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def test_total_daily_basal_empty_input():
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assert pd_.total_daily_basal([]) == 0.0
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