将Slurm帐户命令的输出捕获到Python Dictionary

Question

我正在尝试捕获以下slurm的输出（

​-format =用户％10，Jobname％10，节点％10，start％10，End％10，经过％10，MAXRSS 输出以下输出：

                   User                  JobName                 NodeList                    Start                      End                  Elapsed     MaxRSS 

---

     user_name                    job10000000                machine00      2022-01-25T12:35:11      2022-01-25T12:36:02                 00:00:51            
                                    something                machine00      2022-01-25T12:35:11      2022-01-25T12:36:02                 00:00:51          0 
                                  job10000000                machine00      2022-01-25T12:35:12      2022-01-25T12:36:02                 00:00:50     24000K

使用Python进入字典中，我的代码如下：

slurm_cmd = 'sacct -a -j '+ str(job_id) + ' --format=user%10,jobname%10,node%10,start%10,end%10,elapsed%10,MaxRSS'
p = subprocess.Popen(slurm_cmd, shell=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
output = p.stdout.read().decode()
header, *data = output.splitlines()   
for datarow in data: 
    if data.index(datarow) == 1:
        dict_ = dict(zip(header.split(), datarow.split()))

我的期望是这样的：

dict_ = {
    "User" : 'user_name',
    "NodList": 'machine00',
    "Start" : '2022-01-25T12:35:12',
    "End"  : '2022-01-25T12:36:02',
    "Elapsed": '00:00:51',
    "MaxRSS"  : '24000K'
    }

有人这样做还是以前做过类似的事情？

Answer 1

header = output.splitlines()[0]
datarow = output.splitlines()[2]
dict_output = {k: v for k, v in zip(header.split(), datarow.split())}