当启用服务器端处理时,我在处理由 jquery datatables 1.10 发送的参数时遇到了一些问题。我像这样在 javascript 端初始化了数据表:
var table = $('#mytable').DataTable( {
"processing": true,
"serverSide": true,
"ajax": {
'url': url,
'type': 'POST'
},
"columns": data
} );
然后在基于 Flask 的服务器中接收 POST 请求:
@app.route('/data/<data_key>', methods=['POST'])
def get_data(data_key):
print request.form
# do some processing here in order to filter data
# ...
return Response(json.dumps(data), status=200, mimetype='application/json')
为了过滤数据,我尝试查看 request.form 内部,但结果很奇怪,无法轻松转换为对象数组。我得到这样的东西:
ImmutableMultiDict(
[
('columns[0][data]', u'ReportDate'),
('draw', u'1'),
('columns[1][name]', u''),
('columns[1][data]', u'FundName'),
('columns[0][orderable]', u'true'),
('columns[1][searchable]', u'true'),
('columns[1][orderable]', u'true'),
('order[0][column]', u'0'),
('columns[0][name]', u''),
('order[0][dir]', u'asc'),
('search[value]', u''),
('columns[1][search][regex]', u'false'),
('columns[0][search][value]', u''),
('search[regex]', u'false'),
('columns[1][search][value]', u''),
('columns[0][search][regex]', u'false'),
('start', u'0'),
('length', u'10'),
('columns[0][searchable]', u'true')
]
)
他们在 jquery 数据表文档中说:
The order[i] and columns[i] parameters that are sent to the server are arrays of information:
order[i] - is an array defining how many columns are being ordered upon - i.e. if the array length is 1, then a single column sort is being performed, otherwise a multi-column sort is being performed.
columns[i] - an array defining all columns in the table.
In both cases, i is an integer which will change to indicate the array value. In most modern server-side scripting environments this data will automatically be available to you as an array.
但是,Flask 将这些数据作为一个简单的字典提供,有没有办法轻松地将它转换为对象数组?
最佳答案
获取DataTable发送json
ajax: {
url: "/api/data_table",
type: "POST",
data: function ( args ) {
return { "args": JSON.stringify( args ) };
}
},
在flask中,解析json
args = json.loads(request.values.get("args"))
columns = args.get("columns")
关于python - 如何使用 Flask 处理从 jquery 数据表发送的服务器端参数?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/24890420/