Question

我的头上有

读取“原始文件”，将第3行${startFrom}更改为"ENTRY1"中第一个单词的行。写出data_file。读取“原始文件”，将第3行new_file1更改为"ENTRY1"中第二个单词的行。写出data_file

重复整个new_file2。

节选/示例：

data_file

..依此类推。

我一直在尝试使用sed，类似

original_file:

    line1      {
    line2        "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c",
    line3        "name": "ENTRY1",
    line4        "auto": true,
    line5        "contexts": [],
    line6        "responses": [
    line7      {
    ------------

    data_file:(simply a word/number List)
    line1   AAA11
    line2   BBB12
    line3   CCC13
    ..100lines/Words..
    -------------

    *the First output/finished file would look like:
    newfile1:
    line1      {
    line2        "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c",
    line3        "name": "AAA11",
    line4        "auto": true,
    line5        "contexts": [],
    line6        "responses": [
    line7      {
    ------------
    and the Second:
    newfile2:
    line1      {
    line2        "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c",
    line3        "name": "BBB12",
    line4        "auto": true,
    line5        "contexts": [],
    line6        "responses": [
    line7      {
    ------------

和..作为shell脚本的开始。.

awk 'FNR==$n1{if((getline line < "data_file") > 0) fprint '/"id:"/' '/""/' line ; next}$n2' < newfile

任何帮助将不胜感激..我一直在尝试将在SO上发现的各种技术粘合在一起..一次做一件事..学习如何更换.. 然后从第二个文件替换..但是它超出了我的知识。再次感谢。我的data_file中大约有#!/bin/bash n1=3 n2=2 sed '$n1;$n2 data_file' original_file > newfile行。.因此这是必需的。（自动化）。这是一次性的事情，但对其他人可能很有用？

Answer 1

假设我们正在尝试更改某些JSON数据中的“名称”，并且新值将完全是字母数字（以便双引号正常工作）：

#!/bin/bash

n=1
cat data_file | while read value; do
    jq <original_file >"newfile$n" ".name = \"$value\""
    ((n++))
done

Answer 2

在Python 2. +中：

输入：

more original_file.json data_file 
::::::::::::::
original_file.json
::::::::::::::
{
  "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c",
  "name": "ENTRY1",
  "auto": true,
  "contexts": [],
  "responses": []
}
::::::::::::::
data_file
::::::::::::::
AAA11
BBB12
CCC13

python脚本：

import json

#open the original json file
with open('original_file.json') as handle:
  #create a dict based on the json content
  dictdump = json.loads(handle.read())
  #file counter
  i = 1
  #open the data file
  f = open("data_file", "r")
  #get all lines of the data file
  lines = f.read().splitlines()
  #close it
  f.close()
  #for each line of the data file
  for line in lines:
    #change the value of the json name element by the current line
    dictdump['name'] = line
    #open newfileX
    o = open("newfile" + str(i),'w')
    #dump the content of modified json
    json.dump(dictdump,o)
    #close the file
    o.close()
    #increase the counter value
    i += 1

输出：

more newfile*
::::::::::::::
newfile1
::::::::::::::
{"contexts": [], "auto": true, "responses": [], "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", "name": "AAA11"}
::::::::::::::
newfile2
::::::::::::::
{"contexts": [], "auto": true, "responses": [], "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", "name": "BBB12"}
::::::::::::::
newfile3
::::::::::::::
{"contexts": [], "auto": true, "responses": [], "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", "name": "CCC13"}

如果您需要垂直输出json转储，则可以修改以下行： json.dump(dictdump, o)到json.dump(dictdump, o, indent=4)中。这将产生：

more newfile*
::::::::::::::
newfile1
::::::::::::::
{
    "contexts": [], 
    "auto": true, 
    "responses": [], 
    "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", 
    "name": "AAA11"
}
::::::::::::::
newfile2
::::::::::::::
{
    "contexts": [], 
    "auto": true, 
    "responses": [], 
    "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", 
    "name": "BBB12"
}
::::::::::::::
newfile3
::::::::::::::
{
    "contexts": [], 
    "auto": true, 
    "responses": [], 
    "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", 
    "name": "CCC13"
}

DOC：https://docs.python.org/2/library/json.html

较新的版本与输入保持相同的顺序：

import json
from collections import OrderedDict

#open the original json file
with open('original_file.json') as handle:
  #create a dict based on the json content
  dictdump = json.loads(handle.read(), object_pairs_hook=OrderedDict)
  #file counter
  i = 1
  #open the data file
  f = open("data_file", "r")
  #get all lines of the data file
  lines = f.read().splitlines()
  #close it
  f.close()
  #for each line of the data file
  for line in lines:
    #change the value of the json name element by the current line
    dictdump['name'] = line
    #open newfileX
    o = open("newfile" + str(i),'w')
    #dump the content of modified json
    json.dump(dictdump, o, indent=4)
    #close the file
    o.close()
    #increase the counter value
    i += 1

输出：

more newfile*
::::::::::::::
newfile1
::::::::::::::
{
    "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", 
    "name": "AAA11", 
    "auto": true, 
    "contexts": [], 
    "responses": []
}
::::::::::::::
newfile2
::::::::::::::
{
    "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", 
    "name": "BBB12", 
    "auto": true, 
    "contexts": [], 
    "responses": []
}
::::::::::::::
newfile3
::::::::::::::
{
    "id": "b5902627-0ba0-40b6-8127-834a3ddd6c2c", 
    "name": "CCC13", 
    "auto": true, 
    "contexts": [], 
    "responses": []
}

使用另一个文本文件单词列表顺序替换单词-data_file

2 个答案: