我有一个需要分析的811行JSON文件。现在，我正在使用以下命令来解析我感兴趣的数据（{awk是必需的，因为我使用的JSON不能以适当的数组提供数据）：
sed 's/},/},\n/g' 1st_run.json |awk '/"characater"/ { gsub("\"characater\"", "\"char" ++n "\"", $0) } 1'| jq -r '.frames.frame.lps.lp|.characters[]|[.code_ascii,.confidence]|@tsv'
这项工作正常，但我收到大量无法以任何方式分隔的数据。如何至少在JSON中每行有可分析结果的行后插入定界符？
我的JSON输入类似：
...
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...
4 99
9 95
2 94
3 94
9 97
B 96
A 92
B 94
L 76
E 88
B 90
R 95
1 85
4 99
9 87
2 98
3 97
9 98
B 98
A 94
4 91
9 97
2 90
3 92
9 96
B 98
A 99
在每条JSON行之后插入分隔符，与提取的项数（每行）无关-（在JSON中等于.ncharacter）
4 99
9 95
2 94
3 94
9 97
B 96
----------
A 92
B 94
L 76
E 88
B 90
R 95
1 85
4 99
----------
9 87
2 98
3 97
9 98
B 98
A 94
4 91
----------
9 97
2 90
3 92
9 96
B 98
A 99
答案 0 :(得分：0)
您可以使用awk为每行打印额外的换行[ ]和,。
awk 'BEGIN {print "["} END {print "]"} {gsub(/characater/, "char" ++n); print $0 ","}'
答案 1 :(得分：0)
好吧
我通过编写可以处理格式错误的JSON数据的Python脚本解决了这个问题。
这个想法是分别遍历每一行，然后用子字符串将内容分解，以提取ascii_code和confidence，最后它们看起来像：
#!/usr/bin/python
def mysplit( str ):
spltstr = str.split("code_ascii")
itr = iter(spltstr)
next(itr)
for k in itr:
a = k.split("\"")
print a[2] + " " +a[6]
filepath = 'test2.json'
with open(filepath) as fp:
line = fp.readline()
cnt = 1
while line:
print "----------"
mysplit(line)
line = fp.readline()
cnt += 1
我认为这应该为我做很多...