Question

示例json文件payload.json.tpl：

{
  "foo": "bar",
  "x": {
    "y": "${array}"
  }
}

我在bash中有一个数组

array=("one" "two" "three")

如何运行jq命令将键.x.y替换为["one", "two", "three"]

所以最终的json将是：

{
  "foo": "bar",
  "x": {
    "y": ["one", "two", "three"]
  }
}

Answer 1

使用import xlsxwriter import pandas as pd df= pd.DataFrame({'Time':['2019/01/03 15:02:07', '2019/01/03 15:16:55', '2019/01/03 15:17:20', '2019/01/03 15:28:58','2019/01/03 15:32:28','2019/01/03 15:38:54'], 'Payload':['[0]->[1]', '[1]->[0]','[0]->[1]','[0]->[1]','[1]->[0]','[0]->[1]']}) workbook = xlsxwriter.Workbook('Results.xlsx') ws = workbook.add_worksheet("Rapport détaillé") # wsNavco = workbook.add_worksheet("Délai reconnexion NAVCO") ws.set_column(0, 1, 30) ws.set_column(1, 2, 25) # Add a format. Light yellow fill with dark red text. format1 = workbook.add_format({'bg_color': '#fffcad', 'font_color': '#0a0a0a'}) # Add a format. Green fill with dark green text. format2 = workbook.add_format({'bg_color': '#e7fabe', 'font_color': '#0a0a0a'}) # Write a conditional format over a range. ws.conditional_format('A1:A24', {'type': 'cell', 'criteria': '>=', 'value': 50, 'format': format1}) ws.conditional_format('B1:B24', {'type': 'cell', 'criteria': '>=', 'value': 50, 'format': format2}) parametres = ( ['Parametres', 'Valeurs'], ['1ere date ', str(df['Time'].iloc[0])], ['Derniere date ', str(df['Time'].iloc[len(df)-1])], ) # Start from the first cell. Rows and # columns are zero indexed. row = 0 col = 0 # Iterate over the data and write it out row by row. for name, parametres in (parametres): ws.write(row, col, name) ws.write(row, col + 1, parametres) row += 1 workbook.close() df= df.sort_values(by='Time') df.Time = pd.to_datetime(df.Time, format='%Y/%m/%d %H:%M:%S') print('df\n',df) diff = [] for i in range(len(df) - 1): if df.iloc[i, 1] == '[1]->[0]' and df.iloc[i + 1, 1] == '[0]->[1]': time_diff = df.iloc[i + 1, 0] - df.iloc[i, 0] else: time_diff = 0 diff.append(time_diff) diff.append(0) # to fill the last value df['Difference'] = diff print(df['Difference']) print('df1\n',df) workbook = xlsxwriter.Workbook('Results.xlsx') wsNavco = workbook.add_worksheet('Délai reconnexion NAVCO') # wsNavco = wb.worksheets[1] wsNavco.set_column(0, 1, 25) wsNavco.set_column(1, 2, 55) # Add a format. Light yellow fill with dark red text. format1 = workbook.add_format({'bg_color': '#fffcad', 'font_color': '#0a0a0a'}) # Add a format. Green fill with dark green text. format2 = workbook.add_format({'bg_color': '#e7fabe', 'font_color': '#0a0a0a'}) # Write a conditional format over a range. wsNavco.conditional_format('A1:A24', {'type': 'cell', 'criteria': '>=', 'value': 50, 'format': format1}) wsNavco.conditional_format('B1:B24', {'type': 'cell', 'criteria': '>=', 'value': 50, 'format': format2}) for i in range (len(df)-1): wsNavco.set_column(1, 1, 15) wsNavco.write('A'+str(3),'Payload') wsNavco.write('A'+str(i+4), str((df.iloc[i,1]))) wsNavco.write('B'+str(3),'Délai reconnexion NAVCO') wsNavco.write('B'+str(i+4), str((df.iloc[i,2]))) workbook.close()（需要jq 1.6）

$ARGS.positional

Answer 2

就像这样，也可以与jq <1.6一起使用：

< payload.json.tpl jq --arg a "${array[*]}" '.x.y=($a|split(" "))'

请注意使用${array[*]}而不是${array[@]}。使用*时，${array}的元素将作为单个字符串而不是多个字符串传递。

https://www.gnu.org/software/bash/manual/html_node/Arrays.html

用bash中的数组替换键

2 个答案: