我想监视我的docker容器ram使用。现在我发现一个在线脚本生成一个txt文件,其中包含如下统计信息:
LOG_FILE="/volume1/docker/docker-logs.txt"
while true;
do
sleep 10m
docker stats --format "{{.Name}}, {{.MemUsage}}" --no-stream >> $LOG_FILE
#echo "-" >> $LOG_FILE
done
使用我的Synology NAS让它在启动时运行。工作正常我得到这个文件:
-
Python3, 46.42MiB / 150MiB
hassio, 160.8MiB / 3.855GiB
Jacket, 255.4MiB / 3.855GiB
Radarrnodebug, 96.87MiB / 3.855GiB
Sonarrnodebug, 112.8MiB / 3.855GiB
Ombii, 212.2MiB / 3.855GiB
watchtower, 11.48MiB / 50MiB
-
Python3, 46.42MiB / 150MiB
hassio, 68.34MiB / 3.855GiB
Jacket, 258.3MiB / 3.855GiB
Radarrnodebug, 101.8MiB / 3.855GiB
Sonarrnodebug, 114.8MiB / 3.855GiB
Ombii, 212.4MiB / 3.855GiB
watchtower, 11.48MiB / 50MiB
-
Python3, 46.42MiB / 150MiB
hassio, 71.06MiB / 3.855GiB
Jacket, 262.7MiB / 3.855GiB
Radarrnodebug, 102.2MiB / 3.855GiB
Sonarrnodebug, 124.1MiB / 3.855GiB
Ombii, 217.7MiB / 3.855GiB
watchtower, 11.48MiB / 50MiB
-
Python3, 46.42MiB / 150MiB
hassio, 81.38MiB / 3.855GiB
Jacket, 262.7MiB / 3.855GiB
Radarrnodebug, 102.5MiB / 3.855GiB
Sonarrnodebug, 125.1MiB / 3.855GiB
Ombii, 217.6MiB / 3.855GiB
watchtower, 11.48MiB / 50MiB
-
Python3, 46.42MiB / 150MiB
hassio, 76.55MiB / 3.855GiB
Jacket, 269.2MiB / 3.855GiB
Radarrnodebug, 103.3MiB / 3.855GiB
Sonarrnodebug, 123.8MiB / 3.855GiB
Ombii, 219MiB / 3.855GiB
watchtower, 11.48MiB / 50MiB
-
Python3, 46.42MiB / 150MiB
hassio, 77.52MiB / 3.855GiB
Jacket, 268.4MiB / 3.855GiB
Radarrnodebug, 106.2MiB / 3.855GiB
Sonarrnodebug, 117.8MiB / 3.855GiB
Ombii, 213.1MiB / 3.855GiB
watchtower, 11.48MiB / 50MiB
-
现在让它成为一个不错的PNG我有以下几点:
from pip._internal import main
main(["install", "matplotlib", "numpy","pandas"])
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
log_path = "/stats/docker-logs.txt"
with open(log_path) as f:
raw_data = f.readlines()
nrows = 8
n = len(raw_data) // nrows
data = []
for i in range(n):
start = i * nrows
end = start + nrows - 1
d = raw_data[start:end]
datum = {}
datum['i'] = i
for line in d:
name, stats = line.strip().split(',')
stats = float(stats.split('/')[0].strip()[:-3])
datum[name] = stats
data.append(datum)
data = pd.DataFrame(data)
data['time (hour)'] = data['i'] * 10 / 60
ax = data.drop(columns='i').set_index('time (hour)').plot()
ax.set_ylabel('RAM Usage (MiB)')
ax.figure.savefig('/stats/plot.png')
哪个在beginnen中工作得很好,但是它突然停止工作,我得到了以下错误:
Traceback (most recent call last):
File "/stats/genstat.py", line 22, in <module>
name, stats = line.strip().split(',')
ValueError: not enough values to unpack (expected 2, got 1)
做了一些调试,发现了
var i
成为0所以没有任何工作了(因为它必须跳过“ - ”char)发生了什么,我该如何修复它?我已经通过删除“ - ”char尝试了很多,但是没有什么真正重要的(对于meeeee)
希望有些人可以帮忙
这更pythonic:
if ',' not in line:
continue
name, stats = line.strip().split(',')
这条线
name, stats = line.strip().split(',')
失败,因为输入文件中有一行没有逗号。最后很可能是一个空白行。做
columns = line.strip().split(',')
if len(columns) == 2:
name, stats = columns
else:
print("Expected name and stats, got", columns)
试试这个:
if line.count(',') != 1:
continue
name, stats = line.strip().split(',')