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