Blank asset numbers, contested device claims, and honest toner forecasting

This commit is contained in:
2026-08-20 17:09:02 -04:00
parent fa88ef0afe
commit ebb86ccf3b
12 changed files with 473 additions and 34 deletions

View File

@@ -1963,6 +1963,17 @@ def update_printer(printer_id: int):
asset = printer.asset
# An UPDATE may not blank the asset number. Create validates it and the
# column is NOT NULL, but the conflict check below only runs when the value
# DIFFERS, and '' never collides with anything - so a payload carrying an
# empty assetnumber wrote it straight through. A form that loaded blank
# (a failed reference load, a partial fetch) then saved the blank over a
# real record.
if 'assetnumber' in data and not (data['assetnumber'] or '').strip():
return error_response(
ErrorCodes.VALIDATION_ERROR,
'assetnumber cannot be empty')
# Check for conflicting assetnumber
if 'assetnumber' in data and data['assetnumber'] != asset.assetnumber:
if Asset.query.filter_by(assetnumber=data['assetnumber']).first():

View File

@@ -90,7 +90,7 @@
<th class="collevel">Level</th>
<th>Runs out</th>
<th>Rate</th>
<th>Changed</th>
<th title="Cartridge changes detected, over the days of history behind this row">Replacements</th>
</tr>
</thead>
<tbody>
@@ -123,11 +123,20 @@
<span class="days" :class="c.band">{{ daysText(c) }}</span>
</td>
<td class="muted small">
{{ c.burnrateperday != null ? c.burnrateperday + '%/day' : '-' }}
<template v-if="c.burnrateperday != null">
{{ c.burnrateperday }}%/day<!--
--><span v-if="c.rateunstable" class="unstable"
title="This cartridge's usage has varied a lot between readings - a burst then a lull, or the reverse. The estimate is the best available, not a measurement.">~</span>
</template>
<template v-else>-</template>
</td>
<td class="muted small">
{{ c.replacements || 0 }}
<span v-if="c.basisdays">/ {{ c.basisdays }}d</span>
<!-- "2 / 90d" read as a date, a ratio, or a version to
everyone who saw it. Say the unit. -->
<template v-if="c.basisdays">
{{ c.replacements || 0 }} in {{ c.basisdays }}d
</template>
<template v-else>{{ c.replacements || 0 }}</template>
</td>
</tr>
</tbody>
@@ -424,6 +433,10 @@ onMounted(load)
.days.empty { color: var(--danger); }
.days.soon { color: var(--warning); }
.small { font-size: 0.8rem; }
/* Marks a rate the intervals do not agree on. Deliberately quiet - it qualifies
the number beside it rather than competing with the urgency bands. */
.unstable { margin-left: 2px; font-weight: 600; cursor: help; }
.empty-state { padding: 2rem; text-align: center; }
.footnote { margin-top: 1rem; font-size: 0.85rem; }
</style>

View File

@@ -20,6 +20,19 @@ from datetime import datetime, timezone
# new cartridge rather than noise.
REPLACEMENT_RISE = 10
# A replacement must also LAND high. A fresh cartridge reads near full, so a
# rise that stops mid-range is a gauge bouncing, not a swap. Without this the
# count was any +10 between readings, and the two common noise shapes both
# scored: a supply reading 0 or near-0 while it was out of the machine, then the
# real level again (0 -> 60 counts as +60), and a coarse gauge ticking back up
# after a reseat or a power cycle. That is how one cartridge claimed five
# changes in ninety days.
#
# A site that fits PART-USED cartridges will under-count with this rule. That is
# the right way round: a missed swap widens the run and slows the estimate,
# while a phantom swap resets the run and throws the estimate away entirely.
NEW_CARTRIDGE_LEVEL = 80
# Below this many readings a slope is arithmetic, not evidence. Two points
# through a coarse gauge can "prove" any rate at all.
MIN_POINTS_FOR_ESTIMATE = 4
@@ -29,6 +42,12 @@ MIN_POINTS_FOR_ESTIMATE = 4
# says "never", which is worse than saying nothing.
MIN_DROP_FOR_ESTIMATE = 2
# How far the fastest and slowest intervals may differ before a single rate
# stops being a fair summary. A cartridge that ran at 10 percent/day for two
# days and 0.2 percent/day since is not described by any one number, and a
# precise-looking figure invites more trust than it has earned.
RATE_SPREAD_FACTOR = 5
# At or below this, the cartridge is done and the arithmetic stops being the
# useful answer. A supply sitting at 1% that drains a tenth of a point a day
# computes to ten days; a printer at 1% is out of toner as far as anyone
@@ -58,18 +77,65 @@ def normalise(points):
continue
out.append((datetime.fromtimestamp(seconds, tz=timezone.utc), level))
out.sort(key=lambda p: p[0])
return drop_spikes(out)
def drop_spikes(points, rise=REPLACEMENT_RISE):
"""Remove one-reading dips that RECOVER to where they came from.
A single reading far below both neighbours, then a recovery, is a big
upward step that scores as a cartridge change. That is how a cartridge
claimed five changes in ninety days.
NOT a Zabbix timeout: an item that does not answer records nothing, it does
not write a zero. The dip is a value the device really reported - a supply
pulled out to be shaken and reseated, a door open mid-poll, or a site whose
preprocessing maps the Printer MIB's "unknown" sentinels (-1/-2/-3, which
cannot land in the unsigned history table) onto 0.
The filter keys on SHAPE rather than cause, which is why it holds for all of
them: a level that comes back to where it was did not get a new cartridge.
Only a dip that comes BACK to roughly its previous level is removed. A
genuine near-empty reading before a swap (30, 5, 100) does not recover - it
jumps to full - so it is kept, and the swap after it still counts.
"""
if len(points) < 3:
return points
out = [points[0]]
for index in range(1, len(points) - 1):
previous = points[index - 1][1]
current = points[index][1]
following = points[index + 1][1]
dipped = (previous - current) >= rise and (following - current) >= rise
recovered = abs(following - previous) <= rise
if dipped and recovered:
continue
out.append(points[index])
out.append(points[-1])
return out
def find_replacements(points, rise=REPLACEMENT_RISE):
def _is_replacement(previous, current, rise=REPLACEMENT_RISE,
newlevel=NEW_CARTRIDGE_LEVEL):
"""One definition of "a cartridge was changed", used by every caller.
The rise must be big enough to clear gauge noise AND land near full, which
is what a new cartridge reads. Both conditions, because either alone admits
a shape that is not a swap.
"""
return (current - previous) >= rise and current >= newlevel
def find_replacements(points, rise=REPLACEMENT_RISE,
newlevel=NEW_CARTRIDGE_LEVEL):
"""Timestamps where the level jumped up - one per cartridge change.
Returns [] for a series that only falls. A rise smaller than `rise` is
treated as noise, not a replacement.
Returns [] for a series that only falls.
"""
replacements = []
for (_, previous), (when, current) in zip(points, points[1:]):
if current - previous >= rise:
if _is_replacement(previous, current, rise, newlevel):
replacements.append(when)
return replacements
@@ -84,28 +150,78 @@ def current_run(points, rise=REPLACEMENT_RISE):
return []
start = 0
for index in range(1, len(points)):
if points[index][1] - points[index - 1][1] >= rise:
if _is_replacement(points[index - 1][1], points[index][1], rise):
start = index
return points[start:]
def interval_rates(points):
"""Percent-per-day for each consecutive pair, falling intervals only.
A rise inside a run is gauge noise (a swap would have ended the run), and
a flat interval is real information - a cartridge that did not move - so it
stays in at zero.
"""
rates = []
for (whenprev, prev), (when, current) in zip(points, points[1:]):
days = (when - whenprev).total_seconds() / 86400
if days <= 0:
continue
drop = prev - current
if drop < 0:
continue
rates.append(drop / days)
return rates
def _median(values):
ordered = sorted(values)
count = len(ordered)
if not count:
return None
middle = count // 2
if count % 2:
return ordered[middle]
return (ordered[middle - 1] + ordered[middle]) / 2
def burn_rate(points):
"""Percent consumed per day over these readings, or None.
THE MEDIAN OF THE PER-INTERVAL RATES, not the slope between the first and
last reading. Two endpoints cannot tell "steady" from "burst then stopped":
a cartridge that lost 20 percent in two days and then barely moved for a
month reads as 0.83 percent/day forever after, so the report keeps promising
it will run out long after printing slowed. The burst is one interval among
many to a median, and one of two points to a secant.
None means "no honest estimate": too few readings, no elapsed time, or a
drop too small to distinguish from a gauge that has not moved yet.
"""
if len(points) < MIN_POINTS_FOR_ESTIMATE:
return None
first_when, first_level = points[0]
last_when, last_level = points[-1]
days = (last_when - first_when).total_seconds() / 86400
if days <= 0:
total_days = (points[-1][0] - points[0][0]).total_seconds() / 86400
if total_days <= 0:
return None
drop = first_level - last_level
if drop < MIN_DROP_FOR_ESTIMATE:
# The overall drop still gates the estimate: a gauge sitting on one plateau
# has not proved anything yet, whatever the intervals say.
if points[0][1] - points[-1][1] < MIN_DROP_FOR_ESTIMATE:
return None
return drop / days
rate = _median(interval_rates(points))
if not rate:
# Every interval flat or rising, yet the run dropped overall - the
# movement is all in intervals the median discarded. Fall back to the
# whole-run slope rather than reporting nothing.
return (points[0][1] - points[-1][1]) / total_days
return rate
def rate_is_unstable(points, factor=RATE_SPREAD_FACTOR):
"""True when the intervals disagree enough that one number oversells it."""
rates = [r for r in interval_rates(points) if r > 0]
if len(rates) < 2:
return False
return max(rates) >= min(rates) * factor
def analyse(points, rise=REPLACEMENT_RISE, currentlevel=None):
@@ -131,6 +247,7 @@ def analyse(points, rise=REPLACEMENT_RISE, currentlevel=None):
points = normalise(points)
result = {
'currentlevel': currentlevel, 'daysleft': None, 'burnrateperday': None,
'rateunstable': False,
'reason': None, 'replacements': 0, 'lastreplaced': None,
'basisdays': 0, 'points': [],
}
@@ -182,6 +299,9 @@ def analyse(points, rise=REPLACEMENT_RISE, currentlevel=None):
result['burnrateperday'] = round(rate, 2)
result['daysleft'] = max(0, int(level / rate))
# Say so when the intervals disagree wildly. The number is still the best
# estimate available; the flag stops it reading as a measurement.
result['rateunstable'] = rate_is_unstable(run)
return result