[英]python: parse a colon-separated formatted string
I need to write a python
script (I'm a newbie in python
but would like to take this a practice) to parse a message of the following format:我需要编写一个python
脚本(我是python
的新手,但想实践一下)来解析以下格式的消息:
T:L:x1:x2:x3:...T1:L1:y1:y2:y3...Tn:Ln:z1:z2:z3:...
where T
holds a type, L
is the length and x1..xn is the actual data of the type T1-Tn.其中T
保存类型, L
是长度,x1..xn 是 T1-Tn 类型的实际数据。 Each character is separated with :
symbol.每个字符用:
符号分隔。
For example:例如:
1:4:a:5:6:7:2:10:72:75:63:6f:6e:74:72:6f:6c:6c:65:72:2e:6f:72:67
(Type1=1, Length1=4, Type2=2, Length2=16) (类型 1=1,长度 1=4,类型 2=2,长度 2=16)
The parsed messages should be stored in dictionary (I think this is the most appropriate data structure, but I'd be glad to hear some other suggestions).解析后的消息应该存储在字典中(我认为这是最合适的数据结构,但我很高兴听到其他一些建议)。
So I am probably going to split the text, extract type and length, walk further and extract L
bytes and store them in a dict
with T
as a key.所以我可能会拆分文本,提取类型和长度,进一步提取L
个字节并将它们存储在一个以T
为键的dict
。
:
removed.实际数据(例如 x1-x3...)必须存储在字典中,删除:
。 I'm not sure how to do that.我不知道该怎么做。I'd appreciate to learn about more efficient approach of parsing the string.我很高兴了解解析字符串的更有效方法。 Thanks!谢谢!
Something like this should work:这样的事情应该工作:
ss = "1:4:a:5:6:7:2:10:72:75:63:6f:6e:74:72:6f:6c:6c:65:72:2e:6f:72:67".split(":")
d = {}
idx = 0
while idx < len(ss):
key = ss[idx]
idx += 1
length = int(ss[idx])
idx += 1
arr = ss[idx:idx+length]
d[key] = arr
idx += length
output d
:输出d
:
{'1': ['a', '5', '6', '7'],
'2': ['72', '75', '63', '6f', '6e', '74', '72', '6f', '6c', '6c'],
'65': ['2e', '6f', '72', '67']}
Create an iterator
over your string:在你的字符串上创建一个iterator
:
# v--- I replaced 10 by 12
message = '1:4:a:5:6:7:2:12:72:75:63:6f:6e:74:72:6f:6c:6c:65:72:2e:6f:72:67'
code = iter(message.split(':'))
data = {}
l = 0
for t in code:
l += int(next(code))
d = [next(code) for _ in range(l)]
data[t] = d
Output:输出:
>>> data
{'1': ['a', '5', '6', '7'],
'2': ['72', '75', '63', '6f', '6e', '74', '72', '6f', '6c', '6c', '65', '72', '2e', '6f', '72', '67']}
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