[英]flask request.json order
我將JSON數據提交給我的api（使用Flask構建）端點，我需要將數據導出到excel，但問題是，一旦我的api收到數據並將其加載到request.json數據的“正文”部分是亂碼 - 不是我收到它的順序完全打破我的表標題，更不用說所需的輸出excel格式。
包括我收到的原始JSON數據下面的api
{
"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"
}
}
正如我所說，一旦用request.json將其讀入api，“body”的每個“行”內的數據都會被擾亂 - 訂單被破壞。 它應該如標題中所寫。
我試圖使用不同的json庫加載它，但結果是相同的，加載的數據與給定的順序不同。 我完全不知道為什么它會以這種方式發生而且它讓我的生活變得非常困難，因為我對Python相對較新。
我應該提到我無法將標題列的鍵匹配，因為標題的鍵可能比“body”“row”中的鍵少。
作為示例輸出，我可以提供略有不同的已發布JSON數據的“加擾版本”：
{
"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"
]
}
}
並且為了更好地添加excel導出代碼：
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)
Python字典是無序的 ，JSON對象也是如此。 你看到的行為是正常的。
如果您需要保留排序，請不要使用dict()而是使用列表來代替：
[
["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]字符串按順序讀取正文dict()值，因為已經為您訂購了：
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
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