Python flask request.json订单
我将JSON数据提交到我的api(使用Flask构建)端点,我需要将该数据导出到excel,但问题是,一旦我的api接收到数据并使用request.JSON将其加载到“body”部分数据被打乱了-与我收到数据的顺序不同,这完全打破了我的表格标题,更不用说所需的输出excel格式了 下面是我接收到的原始JSON数据Python flask request.json订单,python,json,python-2.7,flask,Python,Json,Python 2.7,Flask,我将JSON数据提交到我的api(使用Flask构建)端点,我需要将该数据导出到excel,但问题是,一旦我的api接收到数据并使用request.JSON将其加载到“body”部分数据被打乱了-与我收到数据的顺序不同,这完全打破了我的表格标题,更不用说所需的输出excel格式了 下面是我接收到的原始JSON数据 { "data": { "header": [ "date,group.groupname,user.NameSurname,forwarding_number
{
"data": {
"header": [
"date,group.groupname,user.NameSurname,forwarding_number,reciver_number,CallerNameSurname,alert,connection,call_summ"
],
"body": [
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Romāns Tiščenko",
"forwarding_number": "66055002",
"reciver_number": "66055002",
"CallerNameSurname": false,
"alert": "00:00:14",
"connection": "00:00:53",
"call_summ": "00:01:07"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Romāns Tiščenko",
"forwarding_number": "66055002",
"reciver_number": "66055002",
"CallerNameSurname": false,
"alert": "00:00:27",
"connection": "00:00:25",
"call_summ": "00:00:52"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Romāns Tiščenko",
"forwarding_number": "66055002",
"reciver_number": "66055002",
"CallerNameSurname": false,
"alert": "00:00:16",
"connection": "00:01:00",
"call_summ": "00:01:16"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Arvīds Boļesko",
"forwarding_number": "66055001",
"reciver_number": "66055001",
"CallerNameSurname": false,
"alert": "00:00:22",
"connection": "00:00:52",
"call_summ": "00:01:14"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Romāns Tiščenko",
"forwarding_number": "66055002",
"reciver_number": "66055002",
"CallerNameSurname": false,
"alert": "00:00:18",
"connection": "00:00:09",
"call_summ": "00:00:27"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Romāns Tiščenko",
"forwarding_number": "66055002",
"reciver_number": "66055002",
"CallerNameSurname": false,
"alert": "00:00:09",
"connection": "00:01:59",
"call_summ": "00:02:08"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Romāns Tiščenko",
"forwarding_number": "66055002",
"reciver_number": "66055002",
"CallerNameSurname": false,
"alert": "00:00:08",
"connection": "00:02:14",
"call_summ": "00:02:22"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Roberts Neijs",
"forwarding_number": "66055003",
"reciver_number": "66055003",
"CallerNameSurname": false,
"alert": "00:00:04",
"connection": "00:00:01",
"call_summ": "00:00:05"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Arvīds Boļesko",
"forwarding_number": "66055001",
"reciver_number": "66055001",
"CallerNameSurname": false,
"alert": "00:00:57",
"connection": "00:01:26",
"call_summ": "00:02:23"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Roberts Neijs",
"forwarding_number": "66055003",
"reciver_number": "66055003",
"CallerNameSurname": false,
"alert": "00:00:05",
"connection": "00:02:23",
"call_summ": "00:02:28"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Roberts Neijs",
"forwarding_number": "66055003",
"reciver_number": "66055003",
"CallerNameSurname": false,
"alert": "00:00:06",
"connection": "00:00:44",
"call_summ": "00:00:50"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Romāns Tiščenko",
"forwarding_number": "66055002",
"reciver_number": "66055002",
"CallerNameSurname": false,
"alert": "00:00:08",
"connection": "00:02:43",
"call_summ": "00:02:51"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Roberts Neijs",
"forwarding_number": "66055003",
"reciver_number": "66055003",
"CallerNameSurname": false,
"alert": "00:00:05",
"connection": "00:01:13",
"call_summ": "00:01:18"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Roberts Neijs",
"forwarding_number": "66055003",
"reciver_number": "66055003",
"CallerNameSurname": false,
"alert": "00:00:09",
"connection": "00:00:01",
"call_summ": "00:00:10"
},
{
"date": "2013-01-08",
"group.groupname": "administration",
"user.NameSurname": "Ieva Sproģe",
"forwarding_number": "67783165",
"reciver_number": "67783165",
"CallerNameSurname": false,
"alert": "00:00:06",
"connection": "00:01:30",
"call_summ": "00:01:36"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Roberts Neijs",
"forwarding_number": "66055003",
"reciver_number": "66055003",
"CallerNameSurname": false,
"alert": "00:00:06",
"connection": "00:00:50",
"call_summ": "00:00:56"
},
{
"date": "2013-01-08",
"group.groupname": "administration",
"user.NameSurname": "Ieva Sproģe",
"forwarding_number": "67783165",
"reciver_number": "67783165",
"CallerNameSurname": false,
"alert": "00:00:04",
"connection": "00:02:00",
"call_summ": "00:02:04"
},
{
"date": "2013-01-08",
"group.groupname": "customerService",
"user.NameSurname": "Roberts Neijs",
"forwarding_number": "66055003",
"reciver_number": "66055003",
"CallerNameSurname": false,
"alert": "00:00:07",
"connection": "00:00:26",
"call_summ": "00:00:33"
},
{
"date": "2013-01-08",
"group.groupname": "administration",
"user.NameSurname": "Ieva Sproģe",
"forwarding_number": "67783165",
"reciver_number": "67783165",
"CallerNameSurname": false,
"alert": "00:00:04",
"connection": "00:00:13",
"call_summ": "00:00:17"
}
],
"footer": [
",,,,,,7,8,9"
],
"filename": "outGoingAnswered.xls"
}
}
正如我所说的,一旦使用request.json将其读入api,“body”的每个“行”中的数据都被置乱——顺序被打破。它应该写在标题中
我尝试使用不同的json库加载它,但结果是一样的,加载的数据顺序与给定的顺序不同。我完全不知道为什么会这样,这让我的生活变得非常困难,因为我对Python比较陌生
我应该提到,我无法将键与标题列匹配,因为标题的键可能比“body”行中的键少
作为示例输出,我可以提供稍微不同的发布JSON数据的“加扰版本”:
{
"data": {
"body": [
{
"group.groupname": "customerService",
"connection": "00:01:28",
"call_summ": "00:01:42",
"CallerNameSurname": "false",
"forwarding_number": "66055002",
"user.NameSurname": "Arnolds Apels",
"date": "2012-12-13",
"reciver_number": "66055002",
"alert": "00:00:14"
},
{
"group.groupname": "customerService",
"connection": "00:01:33",
"call_summ": "00:01:45",
"CallerNameSurname": "false",
"forwarding_number": "66055002",
"user.NameSurname": "Arnolds Apels",
"date": "2012-12-13",
"reciver_number": "66055002",
"alert": "00:00:12"
},
{
"group.groupname": "administration",
"connection": "00:00:30",
"call_summ": "00:00:33",
"CallerNameSurname": "false",
"forwarding_number": "67783165",
"user.NameSurname": "Ieva Sproģe",
"date": "2012-12-13",
"reciver_number": "67783165",
"alert": "00:00:03"
}
],
"header": [
"date,group.groupname,user.NameSurname,forwarding_number,reciver_number,CallerNameSurname,alert,connection,call_summ"
],
"footer": [
"false,false,user.NameSurname,forwarding_number,reciver_number,CallerNameSurname,alert,connection,call_summ"
],
"filename": [
"asdasda.xls"
]
}
}
为了更好地添加excel导出代码:
r = request.json
data = r['data']
if data:
# Initialize excel export
excel = Workbook()
sheet = excel.add_sheet('Report')
## Excel headers
# Setup font styling
font = Font()
font.name = 'Arial'
font.bold = True
# Setup cell border styling
borders = Borders()
borders.bottom = 1
borders.right = 1
# Setup formating style
style = XFStyle()
style.font = font
style.borders = borders
# Write headers
header = data['header'][0]
headers = header.split(',')
h = 0
for col in headers:
if col == 'false':
col = ''
sheet.write(0, h, col, style)
h += 1
# Write body
rows = data['body']
i = 1
for row in rows:
x = sheet.row(i)
y = 0
for key, value in row.iteritems():
x.write(y, value)
y += 1
i += 1
# Write footer
footer = data['footer'][0]
footers = footer.split(',')
f = 0
for col in footers:
if col == 'false':
col = ''
sheet.write(i, f, col)
f += 1
# Setup column widths
if h > f:
cols = h
else:
cols = f
a = 0
while a < cols:
sheet.col(a).width = 5000
a += 1
# Get report filename
filename = data['filename'][0]
# Setup report path
path = "/path/to/exports/" + filename
# Save the report
excel.save(path)
r=request.json
data=r['data']
如果数据:
#初始化excel导出
excel=工作簿()
工作表=excel。添加工作表(“报告”)
##Excel标题
#设置字体样式
font=font()
font.name='Arial'
font.bold=True
#设置单元格边框样式
边框=边框()
borders.bottom=1
borders.right=1
#设置格式化样式
style=XFStyle()
style.font=font
style.borders=边框
#写标题
header=数据['header'][0]
headers=header.split(“,”)
h=0
对于标题中的列:
如果col==“false”:
col=''
书写(0,h,col,style)
h+=1
#正文
行=数据['body']
i=1
对于行中的行:
x=第页第(i)行
y=0
对于键,第行中的值。iteritems()
x、 写入(y,值)
y+=1
i+=1
#写页脚
页脚=数据['footer'][0]
footers=footer.split(',')
f=0
对于页脚中的列:
如果col==“false”:
col=''
书写(i、f、col)
f+=1
#设置列宽
如果h>f:
cols=h
其他:
cols=f
a=0
而a
Python字典和JSON对象都是无序的。你看到的行为是正常的
如果需要保留顺序,请不要使用dict()
,而是使用元组列表:
[
["date", "2013-01-08"],
["group.groupname", "customerService"],
["user.NameSurname", "Romāns Tiščenko"],
["forwarding_number", "66055002"],
["reciver_number", "66055002"],
["CallerNameSurname", false],
["alert", "00:00:14"],
["connection", "00:00:53"],
["call_summ", "00:01:07"]
],
# ... etc.
或者您也可以使用data['header'][0]
字符串按顺序读取正文dict()
值,因为已经为您排序了:
rows = data['body']
i = 1
for row in rows:
x = sheet.row(i)
y = 0
for col in headers:
x.write(y, row.get(col, ''))
y += 1
i += 1
哦,我的天,我觉得没有正确阅读pythons dict文档真的很愚蠢:(现在我读了tho,非常感谢您的快速响应!最后我坚持使用第二个版本,因为我无法控制发布到API的内容。我还没有测试它,但这个答案可能对您有所帮助