如何解析VLAN简短输出（Cisco）

Question

我正在从IOS思科交换机中检索数据。 输出如下：

VLAN Name                             Status    Ports
---- -------------------------------- --------- -------------------------------
1    default                          active    Gi1/0/3, Gi1/0/4, Gi1/0/5               
10   ADMIN_SWT                        active
11   ADMIN_WIFI                       active    Gi1/0/31, Gi1/0/45, Gi1/0/46
12   ADMIN_SRV-DATA                   active

想法是将此输出解析为CSV文件。 你有什么想法吗？

Answer 1

您可以解析Mylist每个条目并将其全部添加到Pandas DataFrame。

这是我的解决方案：

import pandas as pd

Mylist = ['VLAN Name Status Ports', '1 default active Gi1/0/3, Gi1/0/4, Gi1/0/5, Gi1/0/6, Gi1/0/7, Gi1/0/8, Gi1/0/9, Gi1/0/10, Gi1/0/11, Gi1/0/12, Gi1/0/17, Gi1/0/19, Gi1/0/21, Gi1/0/22, Gi1/0/24, Gi1/0/30, Gi1/0/32, Gi1/0/42, Gi1/0/51, Gi1/0/52', '10 ADMIN_SWT active ', '11 ADMIN_WIFI']

results = []
ports_list = []
output_list = []

# save the headers
headers = Mylist.pop(0).split(" ")

# convert string to list of lists
for l in Mylist:
  for k in l.split(" "):
    # if this is a port add all the port to one cell 
    if '/' in k:    
      ports_list.append(k)
    else:
      output_list.append(k)
  output_list.append(' '.join(ports_list))
  results.append(output_list)
  # clear the temp lists
  output_list = []
  ports_list = []

# make sure every sublist has only number of elements in headers length
for item in results:
  if len(item) < len(headers):
    item.append("")
  elif len(item) > len(headers):
    # remove all the unnecessary elements
    del item[len(headers)-1:-1]

df = pd.DataFrame(results, columns = headers)
df.to_csv('out.csv')

根据您的Mylist示例，结果如下：

  VLAN        Name  Status                                              Ports
0    1     default  active  Gi1/0/3, Gi1/0/4, Gi1/0/5, Gi1/0/6, Gi1/0/7, G...
1   10   ADMIN_SWT  active
2   11  ADMIN_WIFI

Answer 2

模板文本解析器可以帮助您生成所需的结果，示例代码：

from ttp import ttp

template = """
<input load="text">
VLAN Name                             Status    Ports
---- -------------------------------- --------- -------------------------------
1    default                          active    Gi1/0/3, Gi1/0/4, Gi1/0/5               
10   ADMIN_SWT                        active
11   ADMIN_WIFI                       active    Gi1/0/31, Gi1/0/45, Gi1/0/46
                                                Gi1/0/47, Gi1/0/48, Gi1/0/49
12   ADMIN_SRV-DATA                   active
</input>

<group name="{{ vid }}">
{{ vid | DIGIT | _start_ }}  {{ name }}   {{ status }}
{{ vid | DIGIT | _start_ }}  {{ name }}   {{ status }}    {{ ports | ORPHRASE | split(", ") | joinmatches | default([]) }}
                                                {{ ports | ORPHRASE | split(", ") | joinmatches }}
</group>
"""

parser = ttp(template=template)
parser.parse()
print(parser.result(format="json")[0])

输出将是：

[
    {
        "1": {
            "name": "default",
            "ports": [
                "Gi1/0/3",
                "Gi1/0/4",
                "Gi1/0/5"
            ],
            "status": "active"
        },
        "10": {
            "name": "ADMIN_SWT",
            "ports": [],
            "status": "active"
        },
        "11": {
            "name": "ADMIN_WIFI",
            "ports": [
                "Gi1/0/31",
                "Gi1/0/45",
                "Gi1/0/46",
                "Gi1/0/47",
                "Gi1/0/48",
                "Gi1/0/49"
            ],
            "status": "active"
        },
        "12": {
            "name": "ADMIN_SRV-DATA",
            "ports": [],
            "status": "active"
        }
    }
]

请注意组中的最后一行，它应该具有与要解析的实际文本相同的前导空格数。