mirror of
https://github.com/RunLit/Bambu-Run.git
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141 lines
4.4 KiB
Python
141 lines
4.4 KiB
Python
import pytest
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from datetime import timedelta
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from django.utils import timezone
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from bambu_run.models import Printer
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from bambu_run.mcp.shapes import (
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STALE_THRESHOLD_SECONDS,
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freshness,
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remaining_status,
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smoothed_remaining_percent,
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classify_alerts,
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display_name,
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normalize_consumed,
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resolve_printer,
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)
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def test_freshness_fresh_reading():
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now = timezone.now()
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ts = now - timedelta(seconds=10)
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assert freshness(ts, now) == {"data_age_seconds": 10, "stale": False}
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def test_freshness_stale_reading():
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now = timezone.now()
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ts = now - timedelta(seconds=STALE_THRESHOLD_SECONDS + 30)
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result = freshness(ts, now)
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assert result["stale"] is True
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def test_remaining_status_unread_sentinel():
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assert remaining_status(-1) == (None, "unread")
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def test_remaining_status_none_is_unread():
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assert remaining_status(None) == (None, "unread")
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def test_remaining_status_empty():
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assert remaining_status(0) == (0, "empty")
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def test_remaining_status_low_boundary():
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assert remaining_status(20) == (20, "low")
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assert remaining_status(21) == (21, "ok")
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def test_remaining_status_ok():
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assert remaining_status(72) == (72, "ok")
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def test_smoothed_remaining_percent_rejects_spikes():
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# Real data pattern (spec, job 122): genuine values bouncing 22-35%.
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readings = [35, 22, 30, 28, 25]
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assert smoothed_remaining_percent(readings) == (28, "ok")
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def test_smoothed_remaining_percent_excludes_unread_sentinel():
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readings = [-1, -1, 90, 88, 91]
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assert smoothed_remaining_percent(readings) == (90, "ok")
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def test_smoothed_remaining_percent_all_unread():
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assert smoothed_remaining_percent([-1, -1, -1]) == (None, "unread")
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def test_smoothed_remaining_percent_only_uses_5_most_recent():
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readings = [10, 10, 10, 10, 10, 100]
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value, _ = smoothed_remaining_percent(readings)
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assert value == 10
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def test_classify_alerts_persistent_above_20_percent():
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counts = {(83887616, 131078): 25}
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assert classify_alerts(counts, total_rows=100) == [{
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"attr": 83887616, "code": 131078,
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"kind": "persistent", "occurrences": 25, "severity": "unknown",
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}]
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def test_classify_alerts_transient_below_5_percent():
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counts = {(50336256, 131073): 3}
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alerts = classify_alerts(counts, total_rows=100)
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assert alerts[0]["kind"] == "transient"
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def test_classify_alerts_omits_ambiguous_band():
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counts = {(1, 2): 10} # exactly 10% of 100 rows: neither >20% nor <5%
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assert classify_alerts(counts, total_rows=100) == []
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def test_display_name_falls_back_through_chain():
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assert display_name("", "", "raw_project") == "raw_project"
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assert display_name("", "plate_1", "raw_project") == "plate_1"
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assert display_name("Cool Design", "plate_1", "raw_project") == "Cool Design"
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def test_normalize_consumed_ordinary_reading():
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assert normalize_consumed(74, 68, initial_weight_grams=1000) == (6, 60, "ok")
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def test_normalize_consumed_rfid_jitter_goes_unreliable_not_negative():
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# spec finding: start=51% end=52% -> raw consumed=-1% (ordinary jitter)
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assert normalize_consumed(51, 52, initial_weight_grams=1000) == (None, None, "unreliable")
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def test_normalize_consumed_sentinel_start_goes_unreliable():
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# spec finding: jobs 62/63/70/77, start=-1% end=100%
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assert normalize_consumed(-1, 100, initial_weight_grams=1000) == (None, None, "unreliable")
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def test_normalize_consumed_sentinel_end_goes_unreliable():
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# symmetric case: ending_percent == -1 (no RFID reading at job end)
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# must not fabricate a plausible-looking consumption figure
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assert normalize_consumed(74, -1, initial_weight_grams=1000) == (None, None, "unreliable")
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@pytest.mark.django_db
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def test_resolve_printer_by_id():
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p = Printer.objects.create(name="RNL-H2C", model="H2C", is_active=True)
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assert list(resolve_printer(p.id)) == [p]
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@pytest.mark.django_db
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def test_resolve_printer_by_name():
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p = Printer.objects.create(name="RNL-H2C", model="H2C", is_active=True)
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assert list(resolve_printer("RNL-H2C")) == [p]
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@pytest.mark.django_db
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def test_resolve_printer_none_returns_all_active():
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p1 = Printer.objects.create(name="A", model="H2C", is_active=True)
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Printer.objects.create(name="B", model="X1C", is_active=False)
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assert list(resolve_printer(None)) == [p1]
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@pytest.mark.django_db
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def test_resolve_printer_unknown_name_raises():
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with pytest.raises(Printer.DoesNotExist):
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resolve_printer("nonexistent")
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