A toner rate needs days behind it
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@@ -37,6 +37,18 @@ NEW_CARTRIDGE_LEVEL = 80
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# through a coarse gauge can "prove" any rate at all.
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MIN_POINTS_FOR_ESTIMATE = 4
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# A rate needs TIME behind it, not just readings. Supply items are often polled
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# every few minutes, so four readings can span a quarter of an hour - and a 2
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# point drop across fifteen minutes extrapolates to nearly 200 percent a day,
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# which is how a cartridge sitting at 82 percent gets forecast to run out in a
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# fortnight. The history window can be short for the same reason: the fetch
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# keeps the newest rows up to a per-item cap, so a fast-polled item returns days
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# rather than the ninety asked for.
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#
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# Two days is the smallest span that survives a printer's daily rhythm - a
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# single heavy morning does not become the whole picture.
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MIN_DAYS_FOR_ESTIMATE = 2
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# Many printers report in 10% steps, so a fortnight can pass on one plateau.
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# Without a minimum observed drop the slope reads as zero and the forecast
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# says "never", which is worse than saying nothing.
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@@ -201,7 +213,7 @@ def burn_rate(points):
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if len(points) < MIN_POINTS_FOR_ESTIMATE:
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return None
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total_days = (points[-1][0] - points[0][0]).total_seconds() / 86400
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if total_days <= 0:
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if total_days < MIN_DAYS_FOR_ESTIMATE:
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return None
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# The overall drop still gates the estimate: a gauge sitting on one plateau
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# has not proved anything yet, whatever the intervals say.
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@@ -290,7 +302,8 @@ def analyse(points, rise=REPLACEMENT_RISE, currentlevel=None):
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if rate is None:
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# Say which of the three it is; "no estimate" alone invites a bug report.
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if len(run) < MIN_POINTS_FOR_ESTIMATE:
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basis = result.get('basisdays') or 0
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if len(run) < MIN_POINTS_FOR_ESTIMATE or basis < MIN_DAYS_FOR_ESTIMATE:
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result['reason'] = ('replaced recently' if replacements
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else 'not enough history yet')
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else:
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@@ -339,3 +339,26 @@ def test_a_real_near_empty_reading_before_a_swap_is_kept():
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points = normalise(series([40, 30, 5, 100, 95, 90]))
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assert 5.0 in [level for _, level in points]
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assert len(find_replacements(points)) == 1
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def test_minutes_of_readings_do_not_forecast_weeks():
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"""Supply items are often polled every few minutes.
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Four readings a quarter of an hour apart, with a 2 point drop between the
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ends, used to extrapolate to nearly 200 percent a day - so a cartridge
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sitting at 82 percent was forecast to run out in a fortnight. A rate needs
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time behind it, and without it the honest answer is no estimate.
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"""
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minutes = 5
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detail = analyse(series([84, 83, 83, 82], hours=minutes / 60))
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assert detail['burnrateperday'] is None
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assert detail['daysleft'] is None
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assert detail['reason'] == 'not enough history yet'
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assert band(detail['daysleft']) is None # lands in "No estimate yet"
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def test_a_run_with_enough_days_still_estimates():
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"""The guard must not silence a genuinely slow, genuinely long run."""
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detail = analyse(series([84, 83, 82, 81, 80, 79]))
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assert detail['burnrateperday'] == 1.0
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assert detail['daysleft'] == 79
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