將文本文件轉換為 python 中的 yaml

Question

我有以下格式的文本文件：

{'Server Type: ABCDDEER' :['name: abcd01t' ,'IP: 127.12.32.52', 'tags: ALL, APP,EER, REER1']},
{'Server Type: ABCDDEER' :['name: abcd02t' ,'IP: 127.12.32.53', 'tags: ALL, APP,EER, REER2']},
{'Server Type: ABCDDEER' :['name: abcd03t' ,'IP: 127.12.32.54', 'tags: ALL, APP,EER, REER1']},
{'Server Type: ABCDDEER' :['name: abcd04t' ,'IP: 127.12.32.55', 'tags: ALL, APP,EER, REER2']},
{'Server Type: ABCDDPP' :['name: abcd1t' ,'IP: 127.12.32.36', 'tags: ALL, APP,PP,  PP1']},
{'Server Type: ABCDDPP' :['name: abcd2t' ,'IP: 127.12.32.37', 'tags: ALL, APP,PP,  PP2']},
{'Server Type: ABCDDPP' :['name: abcd3t' ,'IP: 127.12.32.38', 'tags: ALL, APP,PP,  PP1']},
{'Server Type: ABCDDPP' :['name: abcd4t' ,'IP: 127.12.32.39', 'tags: ALL, APP,PP,  PP2']},
{'Server Type: ABCDDPP' :['name: abcd5t' ,'IP: 127.12.32.47', 'tags: ALL, APP,PP,  PP1']},
{'Server Type: ABCDDPP' :['name: abcd6t' ,'IP: 127.12.32.41', 'tags: ALL, APP,PP,  PP2']},
{'Server Type: ABCDDPP' :['name: abcd7t' ,'IP: 127.12.32.42', 'tags: ALL, APP,PP,  PP1']},
{'Server Type: ABCDDPP' :['name: abcd8t' ,'IP: 127.12.32.48', 'tags: ALL, APP,PP,  PP2']},
{'Server Type: ABCDDPP' :['name: abcd9t' ,'IP: 127.12.32.44', 'tags: ALL, APP,PP,  PP1']},
{'Server Type: ABCDDPP' :['name: abcd0t' ,'IP: 127.12.32.49', 'tags: ALL, APP,PP,  PP2']}

有什么方法可以直接轉換為 yaml 以便它可以采用以下格式：

---

"Server Type: ABCDDEER"
: 
  - "name: abcd01t"
  - "IP: 127.12.32.52"
  - "tags: ALL, APP,EER, REER1"

  - "name: abcd02t"
  - "IP: 127.12.32.53"
  - "tags: ALL, APP,EER, REER2"

  - "name: abcd03t"
  - "IP: 127.12.32.54"
  - "tags: ALL, APP,EER, REER2"

"Server Type: ABCDDPP"
: 
  - "name: abcd1t"
  - "IP: 127.12.32.36"
  - "tags: ALL, APP,PP,  PP1"

ETC

因此 serverTyoe 是 header 並且其中包含相同 serverType 的任何內容。

任何幫助都感激不盡。 非常感謝！

Answer 1

使用yaml模塊。

前任：

import ast
import yaml

result = {}
with open("data.txt") as infile:
    for line in infile:
        d = ast.literal_eval(line.strip().rstrip(","))
        for k, v in d.items():
            result.setdefault(k, []).extend(v)     #groupby header

with open("outfile.yaml", 'w') as yfile:
    yaml.dump(result, yfile)