263 lines
6.7 KiB
Python
263 lines
6.7 KiB
Python
"""
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REST+Json protocol implementation.
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"""
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from __future__ import absolute_import
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import datetime
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import decimal
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import six
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from simplegeneric import generic
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from wsme.types import Unset
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import wsme.types
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import wsme.utils
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from wsme.exc import UnknownArgument
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try:
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import simplejson as json
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except ImportError:
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import json # noqa
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content_type = 'application/json'
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accept_content_types = [
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content_type,
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'text/javascript',
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'application/javascript'
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]
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@generic
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def tojson(datatype, value):
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"""
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A generic converter from python to jsonify-able datatypes.
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If a non-complex user specific type is to be used in the api,
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a specific tojson should be added::
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from wsme.protocol.restjson import tojson
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myspecialtype = object()
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@tojson.when_object(myspecialtype)
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def myspecialtype_tojson(datatype, value):
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return str(value)
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"""
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if value is None:
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return None
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if wsme.types.iscomplex(datatype):
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d = dict()
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for attr in wsme.types.list_attributes(datatype):
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attr_value = getattr(value, attr.key)
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if attr_value is not Unset:
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d[attr.name] = tojson(attr.datatype, attr_value)
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return d
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elif wsme.types.isusertype(datatype):
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return tojson(datatype.basetype, datatype.tobasetype(value))
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return value
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@tojson.when_object(wsme.types.bytes)
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def bytes_tojson(datatype, value):
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if value is None:
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return None
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return value.decode('ascii')
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@tojson.when_type(wsme.types.ArrayType)
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def array_tojson(datatype, value):
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if value is None:
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return None
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return [tojson(datatype.item_type, item) for item in value]
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@tojson.when_type(wsme.types.DictType)
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def dict_tojson(datatype, value):
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if value is None:
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return None
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return dict((
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(tojson(datatype.key_type, item[0]),
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tojson(datatype.value_type, item[1]))
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for item in value.items()
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))
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@tojson.when_object(decimal.Decimal)
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def decimal_tojson(datatype, value):
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if value is None:
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return None
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return str(value)
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@tojson.when_object(datetime.date)
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def date_tojson(datatype, value):
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if value is None:
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return None
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return value.isoformat()
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@tojson.when_object(datetime.time)
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def time_tojson(datatype, value):
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if value is None:
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return None
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return value.isoformat()
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@tojson.when_object(datetime.datetime)
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def datetime_tojson(datatype, value):
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if value is None:
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return None
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return value.isoformat()
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@generic
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def fromjson(datatype, value):
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"""
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A generic converter from json base types to python datatype.
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If a non-complex user specific type is to be used in the api,
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a specific fromjson should be added::
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from wsme.protocol.restjson import fromjson
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class MySpecialType(object):
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pass
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@fromjson.when_object(MySpecialType)
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def myspecialtype_fromjson(datatype, value):
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return MySpecialType(value)
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"""
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if value is None:
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return None
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if wsme.types.iscomplex(datatype):
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obj = datatype()
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for attrdef in wsme.types.list_attributes(datatype):
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if attrdef.name in value:
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setattr(obj, attrdef.key,
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fromjson(attrdef.datatype, value[attrdef.name]))
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return obj
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elif wsme.types.isusertype(datatype):
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value = datatype.frombasetype(
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fromjson(datatype.basetype, value))
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return value
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@fromjson.when_type(wsme.types.ArrayType)
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def array_fromjson(datatype, value):
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if value is None:
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return None
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return [fromjson(datatype.item_type, item) for item in value]
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@fromjson.when_type(wsme.types.DictType)
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def dict_fromjson(datatype, value):
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if value is None:
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return None
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return dict((
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(fromjson(datatype.key_type, item[0]),
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fromjson(datatype.value_type, item[1]))
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for item in value.items()))
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@fromjson.when_object(six.binary_type)
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def str_fromjson(datatype, value):
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if value is None:
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return None
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return value.encode('utf8')
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@fromjson.when_object(wsme.types.text)
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def text_fromjson(datatype, value):
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if value is not None and isinstance(value, wsme.types.bytes):
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return wsme.types.text(value)
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return value
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@fromjson.when_object(decimal.Decimal)
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def decimal_fromjson(datatype, value):
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if value is None:
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return None
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return decimal.Decimal(value)
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@fromjson.when_object(datetime.date)
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def date_fromjson(datatype, value):
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if value is None:
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return None
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return wsme.utils.parse_isodate(value)
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@fromjson.when_object(datetime.time)
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def time_fromjson(datatype, value):
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if value is None:
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return None
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return wsme.utils.parse_isotime(value)
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@fromjson.when_object(datetime.datetime)
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def datetime_fromjson(datatype, value):
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if value is None:
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return None
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return wsme.utils.parse_isodatetime(value)
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def parse(s, datatypes, bodyarg, encoding='utf8'):
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if hasattr(s, 'read'):
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jdata = json.load(s)
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else:
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if six.PY3 and isinstance(s, six.binary_type):
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s = s.decode(encoding)
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jdata = json.loads(s)
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if bodyarg:
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argname = list(datatypes.keys())[0]
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kw = {argname: fromjson(datatypes[argname], jdata)}
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else:
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kw = {}
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extra_args = []
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for key in jdata:
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if key not in datatypes:
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extra_args.append(key)
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else:
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kw[key] = fromjson(datatypes[key], jdata[key])
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if extra_args:
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raise UnknownArgument(', '.join(extra_args))
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return kw
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def encode_result(value, datatype, **options):
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jsondata = tojson(datatype, value)
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if options.get('nest_result', False):
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jsondata = {options.get('nested_result_attrname', 'result'): jsondata}
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return json.dumps(jsondata)
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def encode_error(context, errordetail):
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return json.dumps(errordetail)
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def encode_sample_value(datatype, value, format=False):
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r = tojson(datatype, value)
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content = json.dumps(r, ensure_ascii=False, indent=4 if format else 0,
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sort_keys=format)
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return ('javascript', content)
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def encode_sample_params(params, format=False):
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kw = {}
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for name, datatype, value in params:
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kw[name] = tojson(datatype, value)
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content = json.dumps(kw, ensure_ascii=False, indent=4 if format else 0,
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sort_keys=format)
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return ('javascript', content)
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def encode_sample_result(datatype, value, format=False):
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r = tojson(datatype, value)
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#if self.nest_result:
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#r = {'result': r}
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content = json.dumps(r, ensure_ascii=False, indent=4 if format else 0,
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sort_keys=format)
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return ('javascript', content)
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