131 lines
4.1 KiB
Python
131 lines
4.1 KiB
Python
"""Tests for toner burn-rate and replacement counting.
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The analysis is pure arithmetic over a list of readings, so it is tested that
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way - no Zabbix, no fixtures. What matters is that it refuses to guess: the
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cases where an estimate would be dishonest are the ones most likely to reach a
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purchasing decision.
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"""
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from datetime import datetime, timedelta, timezone
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from plugins.printers.services.supply_history import (
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analyse, burn_rate, current_run, find_replacements, normalise, soonest,
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)
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START = datetime(2026, 6, 1, tzinfo=timezone.utc)
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def series(levels, hours=24):
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"""[(clock, value)] one reading per `hours`, as Zabbix returns them."""
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return [(str(int((START + timedelta(hours=i * hours)).timestamp())), str(v))
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for i, v in enumerate(levels)]
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def test_counts_one_replacement_per_upward_step():
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points = normalise(series([80, 60, 40, 20, 100, 80, 60, 95, 70]))
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assert len(find_replacements(points)) == 2
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def test_ignores_a_wobble_that_is_not_a_replacement():
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"""SNMP rounding and a gauge settling both nudge a reading upward."""
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points = normalise(series([60, 58, 61, 57, 55]))
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assert find_replacements(points) == []
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def test_estimate_uses_only_the_current_cartridge():
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"""Fitting across a swap averages a spent cartridge with a fresh one."""
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points = normalise(series([90, 60, 30, 100, 90, 80, 70]))
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run = current_run(points)
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assert [level for _, level in run] == [100, 90, 80, 70]
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def test_days_left_from_a_steady_drain():
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# 10 points a day apart, 5% a day, ending at 55%
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result = analyse(series([100, 95, 90, 85, 80, 75, 70, 65, 60, 55]))
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assert result['burnrateperday'] == 5.0
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assert result['daysleft'] == 11 # 55 / 5
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assert result['reason'] is None
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assert result['basisdays'] == 9.0
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def test_no_estimate_from_two_readings():
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"""Two points through a coarse gauge can prove any rate at all."""
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result = analyse(series([100, 90]))
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assert result['daysleft'] is None
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assert result['reason'] == 'not enough history yet'
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def test_no_estimate_while_the_gauge_has_not_moved():
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"""A printer reporting in 10% steps sits on a plateau for a fortnight."""
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result = analyse(series([70, 70, 70, 70, 70, 70]))
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assert result['daysleft'] is None
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assert result['reason'] == 'level has not moved enough to estimate'
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def test_a_recent_replacement_says_so_rather_than_guessing():
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result = analyse(series([40, 30, 20, 10, 100, 98]))
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assert result['daysleft'] is None
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assert result['reason'] == 'replaced recently'
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assert result['replacements'] == 1
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assert result['lastreplaced'] is not None
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def test_empty_history_is_reported_not_crashed():
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result = analyse([])
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assert result['reason'] == 'no history'
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assert result['currentlevel'] is None
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assert result['replacements'] == 0
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def test_junk_rows_are_dropped_not_fatal():
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points = normalise([('notaclock', '50'), ('1780000000', 'n/a'),
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('1780000000', '50')])
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assert len(points) == 1
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def test_days_left_never_goes_negative():
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result = analyse(series([20, 15, 10, 5, 0]))
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assert result['daysleft'] == 0
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def test_printer_sorts_by_its_soonest_supply():
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"""A colour MFP is as urgent as its most pressing cartridge."""
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supplies = [{'daysleft': 40}, {'daysleft': 6}, {'daysleft': None}]
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assert soonest(supplies) == 6
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def test_soonest_is_none_when_nothing_can_be_estimated():
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assert soonest([{'daysleft': None}, {'daysleft': None}]) is None
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def test_burn_rate_needs_elapsed_time():
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"""Several readings in the same second is not a rate."""
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clock = str(int(START.timestamp()))
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points = normalise([(clock, '90'), (clock, '80'), (clock, '70'), (clock, '60')])
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assert burn_rate(points) is None
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def test_forecast_endpoint_says_so_when_zabbix_is_absent(client, db):
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"""A dashboard must be told the data is missing, not shown an empty list
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that reads as 'nothing runs out soon'."""
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response = client.get('/api/printers/supplies/forecast')
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assert response.status_code == 200
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body = response.get_json()['data']
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assert body['available'] is False
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assert 'not configured' in body['reason']
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assert body['printers'] == []
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