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Smooth out old data to avoid false positives in disk full prediction

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Peter J. Holzer 2023-03-27 22:34:00 +02:00 committed by Peter J. Holzer
parent a95ba6c51f
commit 2e8641ad18
1 changed files with 7 additions and 5 deletions
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12
process_queue
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@ -4,6 +4,7 @@ import logging
import logging.config
import os
import socket
import statistics
import time
from ltsdb_json import LTS
@ -44,12 +45,13 @@ class DiskFullPredictor:
current_used_bytes = lts.data[-1][1]
current_usable_bytes = usable_lts.data[-1][1]
tuf = 1E9
for d in reversed(lts.data):
if d[1] < current_usable_bytes * 0.1:
for i in reversed(range(len(lts.data))):
m = statistics.mean(x[1] for x in lts.data[max(0, i - 2) : min(len(lts.data), i + 3)])
if m < current_usable_bytes * 0.1:
continue # for sanity
if current_used_bytes ** 2 / d[1] > current_usable_bytes:
log.info("d = %s, current_used_bytes = %s, current_usable_bytes = %s", d, current_used_bytes, current_usable_bytes)
tuf = now - d[0]
if current_used_bytes ** 2 / m > current_usable_bytes:
log.info("d = %s, current_used_bytes = %s, current_usable_bytes = %s", m, current_used_bytes, current_usable_bytes)
tuf = now - lts.data[i][0]
break
desc = {**lts.description,
"measure": "time_until_disk_full",