frappy/secop/datatypes.py
Enrico Faulhaber c2b17a66b3 datatypes: Change default fmtstr to %g
Change-Id: I6709c98b4c55b70ffd49cbfdc0f43186453e0427
Reviewed-on: https://forge.frm2.tum.de/review/20247
Tested-by: JenkinsCodeReview <bjoern_pedersen@frm2.tum.de>
Reviewed-by: Enrico Faulhaber <enrico.faulhaber@frm2.tum.de>
Reviewed-by: Markus Zolliker <markus.zolliker@psi.ch>
2019-03-27 16:59:28 +01:00

825 lines
30 KiB
Python

# -*- coding: utf-8 -*-
# *****************************************************************************
#
# This program is free software; you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundation; either version 2 of the License, or (at your option) any later
# version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along with
# this program; if not, write to the Free Software Foundation, Inc.,
# 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#
# Module authors:
# Enrico Faulhaber <enrico.faulhaber@frm2.tum.de>
#
# *****************************************************************************
"""Define validated data types."""
from __future__ import division, print_function
from base64 import b64decode, b64encode
from secop.errors import ProgrammingError, ProtocolError
from secop.lib.enum import Enum
from secop.parse import Parser
try:
# py2
unicode
except NameError:
# py3
unicode = str # pylint: disable=redefined-builtin
Parser = Parser()
# Only export these classes for 'from secop.datatypes import *'
__all__ = [
u'DataType',
u'FloatRange', u'IntRange',
u'BoolType', u'EnumType',
u'BLOBType', u'StringType',
u'TupleOf', u'ArrayOf', u'StructOf',
u'CommandType',
]
# *DEFAULT* limits for IntRange/ScaledIntegers transport serialisation
DEFAULT_MIN_INT = -16777216
DEFAULT_MAX_INT = 16777216
# base class for all DataTypes
class DataType(object):
as_json = [u'undefined']
IS_COMMAND = False
unit = u''
fmtstr = u'%r'
def validate(self, value):
"""check if given value (a python obj) is valid for this datatype
returns the value or raises an appropriate exception"""
raise NotImplementedError
def from_string(self, text):
"""interprets a given string and returns a validated (internal) value"""
# to evaluate values from configfiles, ui, etc...
raise NotImplementedError
def export_datatype(self):
"""return a python object which after jsonifying identifies this datatype"""
return self.as_json
def export_value(self, value):
"""if needed, reformat value for transport"""
return value
def import_value(self, value):
"""opposite of export_value, reformat from transport to internal repr
note: for importing from gui/configfile/commandline use :meth:`from_string`
instead.
"""
return value
def format_value(self, value, unit=None):
"""format a value of this type into a unicode string
This is intended for 'nice' formatting for humans and is NOT
the opposite of :meth:`from_string`
if unit is given, use it, else use the unit of the datatype (if any)"""
raise NotImplementedError
class FloatRange(DataType):
"""Restricted float type"""
def __init__(self, minval=None, maxval=None, unit=u'', fmtstr=u'',
absolute_precision=None, relative_precision=None,):
# store hints
self.hints = {}
self.unit = unicode(unit)
self.fmtstr = unicode(fmtstr or u'%g')
self.abs_prec = float(absolute_precision or 0.0)
self.rel_prec = float(relative_precision or 1.2e-7)
# store values for the validator
self.min = float(u'-inf') if minval is None else float(minval)
self.max = float(u'+inf') if maxval is None else float(maxval)
# check values
if self.min > self.max:
raise ValueError(u'Max must be larger then min!')
if '%' not in self.fmtstr:
raise ValueError(u'Invalid fmtstr!')
if self.abs_prec < 0:
raise ValueError(u'absolute_precision MUST be >=0')
if self.rel_prec < 0:
raise ValueError(u'relative_precision MUST be >=0')
info = {}
if self.min != float(u'-inf'):
info[u'min'] = self.min
if self.max != float(u'inf'):
info[u'max'] = self.max
if unit:
self.hints[u'unit'] = self.unit
if fmtstr:
self.hints[u'fmtstr'] = self.fmtstr
if absolute_precision is not None:
self.hints[u'absolute_precision'] = self.abs_prec
if relative_precision is not None:
self.hints[u'relative_precision'] = self.rel_prec
info.update(self.hints)
self.as_json = [u'double', info]
def validate(self, value):
try:
value = float(value)
except Exception:
raise ValueError(u'Can not validate %r to float' % value)
if self.min is not None and value < self.min:
raise ValueError(u'%r should not be less then %s' %
(value, self.min))
if self.max is not None and value > self.max:
raise ValueError(u'%r should not be greater than %s' %
(value, self.max))
if None in (self.min, self.max):
return value
if self.min <= value <= self.max:
return value
raise ValueError(u'%r should be an float between %.3f and %.3f' %
(value, self.min, self.max))
def __repr__(self):
items = [] if self.max or self.min is None else \
[u'-inf' if self.min == float(u'-inf') else self.fmtstr % self.min,
u'inf' if self.max == float(u'inf') else self.fmtstr % self.max]
for k,v in self.hints.items():
items.append(u'%s=%r' % (k,v))
return u'FloatRange(%s)' % (', '.join(items))
def export_value(self, value):
"""returns a python object fit for serialisation"""
return float(value)
def import_value(self, value):
"""returns a python object from serialisation"""
return float(value)
def from_string(self, text):
value = float(text)
return self.validate(value)
def format_value(self, value, unit=None):
if unit is None:
unit = self.unit
if unit:
return u' '.join([self.fmtstr % value, unit])
return self.fmtstr % value
class IntRange(DataType):
"""Restricted int type"""
def __init__(self, minval=None, maxval=None, fmtstr=u'%d', unit=u''):
self.hints = {}
self.fmtstr = unicode(fmtstr)
self.unit = unicode(unit)
self.min = DEFAULT_MIN_INT if minval is None else int(minval)
self.max = DEFAULT_MAX_INT if maxval is None else int(maxval)
# check values
if self.min > self.max:
raise ValueError(u'Max must be larger then min!')
if '%' not in self.fmtstr:
raise ValueError(u'Invalid fmtstr!')
info = {}
self.hints = {}
info[u'min'] = self.min
info[u'max'] = self.max
if unit:
self.hints[u'unit'] = self.unit
if fmtstr != u'%d':
self.hints[u'fmtstr'] = self.fmtstr
info.update(self.hints)
self.as_json = [u'int', info]
def validate(self, value):
try:
value = int(value)
if value < self.min:
raise ValueError(u'%r should be an int between %d and %d' %
(value, self.min, self.max or 0))
if value > self.max:
raise ValueError(u'%r should be an int between %d and %d' %
(value, self.min or 0, self.max))
return value
except Exception:
raise ValueError(u'Can not validate %r to int' % value)
def __repr__(self):
items = [u"%d, %d" % (self.min, self.max)]
for k, v in self.hints.items():
items.append(u'%s=%r' % (k, v))
return u'IntRange(%s)' % (u', '.join(items))
def export_value(self, value):
"""returns a python object fit for serialisation"""
return int(value)
def import_value(self, value):
"""returns a python object from serialisation"""
return int(value)
def from_string(self, text):
value = int(text)
return self.validate(value)
def format_value(self, value, unit=None):
if unit is None:
unit = self.unit
if unit:
return u' '.join([self.fmtstr % value, unit])
return self.fmtstr % value
class ScaledInteger(DataType):
"""Scaled integer int type
note: limits are for the scaled value (i.e. the internal value)
the scale is only used for calculating to/from transport serialisation"""
def __init__(self, scale, minval=None, maxval=None, unit=u'', fmtstr=u'',
absolute_precision=None, relative_precision=None,):
self.scale = float(scale)
if not self.scale > 0:
raise ValueError(u'Scale MUST be positive!')
# store hints
self.hints = {}
self.unit = unicode(unit)
self.fmtstr = unicode(fmtstr or u'%g')
self.abs_prec = float(absolute_precision or self.scale)
self.rel_prec = float(relative_precision or 0)
self.min = DEFAULT_MIN_INT * self.scale if minval is None else float(minval)
self.max = DEFAULT_MAX_INT * self.scale if maxval is None else float(maxval)
# check values
if self.min > self.max:
raise ValueError(u'Max must be larger then min!')
if '%' not in self.fmtstr:
raise ValueError(u'Invalid fmtstr!')
if self.abs_prec < 0:
raise ValueError(u'absolute_precision MUST be >=0')
if self.rel_prec < 0:
raise ValueError(u'relative_precision MUST be >=0')
info = {}
self.hints = {}
info[u'min'] = int(self.min // self.scale)
info[u'max'] = int((self.max + self.scale * 0.5) // self.scale)
info[u'scale'] = self.scale
if unit:
self.hints[u'unit'] = self.unit
if fmtstr:
self.hints[u'fmtstr'] = self.fmtstr
if absolute_precision is not None:
self.hints[u'absolute_precision'] = self.abs_prec
if relative_precision is not None:
self.hints[u'relative_precision'] = self.rel_prec
info.update(self.hints)
self.as_json = [u'scaled', info]
def validate(self, value):
try:
value = float(value)
except Exception:
raise ValueError(u'Can not validate %r to float' % value)
if value < self.min:
raise ValueError(u'%r should be a float between %d and %d' %
(value, self.min, self.max))
if value > self.max:
raise ValueError(u'%r should be a float between %d and %d' %
(value, self.min, self.max))
intval = int((value + self.scale * 0.5) // self.scale)
value = float(intval * self.scale)
return value # return 'actual' value (which is more discrete than a float)
def __repr__(self):
items = [self.fmtstr % self.scale, self.fmtstr % self.min, self.fmtstr % self.max]
for k,v in self.hints.items():
items.append(u'%s=%r' % (k,v))
return u'ScaledInteger(%s)' % (', '.join(items))
def export_value(self, value):
"""returns a python object fit for serialisation"""
# note: round behaves different in Py2 vs. Py3, so use floor division
return int((value + self.scale * 0.5) // self.scale)
def import_value(self, value):
"""returns a python object from serialisation"""
return self.scale * int(value)
def from_string(self, text):
value = float(text)
return self.validate(value)
def format_value(self, value, unit=None):
if unit is None:
unit = self.unit
if unit:
return u' '.join([self.fmtstr % value, unit])
return self.fmtstr % value
class EnumType(DataType):
def __init__(self, enum_or_name='', **kwds):
if u'members' in kwds:
kwds = dict(kwds)
kwds.update(kwds[u'members'])
kwds.pop(u'members')
self._enum = Enum(enum_or_name, **kwds)
@property
def as_json(self):
return [u'enum'] + [{u"members":dict((m.name, m.value) for m in self._enum.members)}]
def __repr__(self):
return u"EnumType(%r, %s)" % (self._enum.name, ', '.join(u'%s=%d' %(m.name, m.value) for m in self._enum.members))
def export_value(self, value):
"""returns a python object fit for serialisation"""
return int(self.validate(value))
def import_value(self, value):
"""returns a python object from serialisation"""
return self.validate(value)
def validate(self, value):
"""return the validated (internal) value or raise"""
try:
return self._enum[value]
except KeyError:
raise ValueError(u'%r is not a member of enum %r' % (value, self._enum))
def from_string(self, text):
return self.validate(text)
def format_value(self, value, unit=None):
return u'%s<%s>' % (self._enum[value].name, self._enum[value].value)
class BLOBType(DataType):
minsize = None
maxsize = None
def __init__(self, minsize=0, maxsize=None):
# if only one argument is given, use exactly that many bytes
# if nothing is given, default to 255
if maxsize is None:
maxsize = minsize or 255
self.minsize = int(minsize)
self.maxsize = int(maxsize)
if self.minsize < 0:
raise ValueError(u'sizes must be bigger than or equal to 0!')
elif self.minsize > self.maxsize:
raise ValueError(u'maxsize must be bigger than or equal to minsize!')
self.as_json = [u'blob', dict(min=minsize, max=maxsize)]
def __repr__(self):
return u'BLOB(%d, %d)' % (self.minsize, self.maxsize)
def validate(self, value):
"""return the validated (internal) value or raise"""
if type(value) not in [unicode, str]:
raise ValueError(u'%r has the wrong type!' % value)
size = len(value)
if size < self.minsize:
raise ValueError(
u'%r must be at least %d bytes long!' % (value, self.minsize))
if size > self.maxsize:
raise ValueError(
u'%r must be at most %d bytes long!' % (value, self.maxsize))
return value
def export_value(self, value):
"""returns a python object fit for serialisation"""
return b64encode(value)
def import_value(self, value):
"""returns a python object from serialisation"""
return b64decode(value)
def from_string(self, text):
value = text
# XXX:
return self.validate(value)
def format_value(self, value, unit=None):
return repr(value)
class StringType(DataType):
as_json = [u'string']
minsize = None
maxsize = None
def __init__(self, minsize=0, maxsize=None):
if maxsize is None:
maxsize = minsize or 255
self.minsize = int(minsize)
self.maxsize = int(maxsize)
if self.minsize < 0:
raise ValueError(u'sizes must be bigger than or equal to 0!')
elif self.minsize > self.maxsize:
raise ValueError(u'maxsize must be bigger than or equal to minsize!')
self.as_json = [u'string', dict(min=minsize, max=maxsize)]
def __repr__(self):
return u'StringType(%d, %d)' % (self.minsize, self.maxsize)
def validate(self, value):
"""return the validated (internal) value or raise"""
if type(value) not in (unicode, str):
raise ValueError(u'%r has the wrong type!' % value)
size = len(value)
if size < self.minsize:
raise ValueError(
u'%r must be at least %d bytes long!' % (value, self.minsize))
if size > self.maxsize:
raise ValueError(
u'%r must be at most %d bytes long!' % (value, self.maxsize))
if u'\0' in value:
raise ValueError(
u'Strings are not allowed to embed a \\0! Use a Blob instead!')
return value
def export_value(self, value):
"""returns a python object fit for serialisation"""
return u'%s' % value
def import_value(self, value):
"""returns a python object from serialisation"""
# XXX: do we keep it as unicode str, or convert it to something else? (UTF-8 maybe?)
return unicode(value)
def from_string(self, text):
value = unicode(text)
return self.validate(value)
def format_value(self, value, unit=None):
return repr(value)
# Bool is a special enum
class BoolType(DataType):
def __init__(self):
self.as_json = [u'bool', {}]
def __repr__(self):
return u'BoolType()'
def validate(self, value):
"""return the validated (internal) value or raise"""
if value in [0, u'0', u'False', u'false', u'no', u'off', False]:
return False
if value in [1, u'1', u'True', u'true', u'yes', u'on', True]:
return True
raise ValueError(u'%r is not a boolean value!' % value)
def export_value(self, value):
"""returns a python object fit for serialisation"""
return True if self.validate(value) else False
def import_value(self, value):
"""returns a python object from serialisation"""
return self.validate(value)
def from_string(self, text):
value = text
return self.validate(value)
def format_value(self, value, unit=None):
return repr(bool(value))
#
# nested types
#
class ArrayOf(DataType):
minsize = None
maxsize = None
members = None
def __init__(self, members, minsize=0, maxsize=None, unit=u''):
if not isinstance(members, DataType):
raise ValueError(
u'ArrayOf only works with a DataType as first argument!')
# one argument -> exactly that size
# argument default to 10
if maxsize is None:
maxsize = minsize or 10
self.members = members
self.unit = unit
self.minsize = int(minsize)
self.maxsize = int(maxsize)
if self.minsize < 0:
raise ValueError(u'sizes must be > 0')
elif self.maxsize < 1:
raise ValueError(u'Maximum size must be >= 1!')
elif self.minsize > self.maxsize:
raise ValueError(u'maxsize must be bigger than or equal to minsize!')
# if only one arg is given, it is maxsize!
if self.unit:
self.as_json = [u'array', dict(min=minsize, max=maxsize,
members=members.as_json, unit=self.unit)]
else:
self.as_json = [u'array', dict(min=minsize, max=maxsize,
members=members.as_json)]
def __repr__(self):
return u'ArrayOf(%s, %s, %s)' % (
repr(self.members), self.minsize, self.maxsize)
def validate(self, value):
"""validate a external representation to an internal one"""
if isinstance(value, (tuple, list)):
# check number of elements
if self.minsize is not None and len(value) < self.minsize:
raise ValueError(
u'Array too small, needs at least %d elements!' %
self.minsize)
if self.maxsize is not None and len(value) > self.maxsize:
raise ValueError(
u'Array too big, holds at most %d elements!' % self.minsize)
# apply subtype valiation to all elements and return as list
return [self.members.validate(elem) for elem in value]
raise ValueError(
u'Can not convert %s to ArrayOf DataType!' % repr(value))
def export_value(self, value):
"""returns a python object fit for serialisation"""
return [self.members.export_value(elem) for elem in value]
def import_value(self, value):
"""returns a python object from serialisation"""
return [self.members.import_value(elem) for elem in value]
def from_string(self, text):
value, rem = Parser.parse(text)
if rem:
raise ProtocolError(u'trailing garbage: %r' % rem)
return self.validate(value)
def format_value(self, value, unit=None):
if unit is None:
unit = self.unit or self.members.unit
res = u'[%s]' % (', '.join([self.members.format_value(elem, u'') for elem in value]))
if unit:
return ' '.join([res, unit])
return res
class TupleOf(DataType):
def __init__(self, *members):
if not members:
raise ValueError(u'Empty tuples are not allowed!')
for subtype in members:
if not isinstance(subtype, DataType):
raise ValueError(
u'TupleOf only works with DataType objs as arguments!')
self.members = members
self.as_json = [u'tuple', dict(members=[subtype.as_json for subtype in members])]
def __repr__(self):
return u'TupleOf(%s)' % u', '.join([repr(st) for st in self.members])
def validate(self, value):
"""return the validated value or raise"""
# keep the ordering!
try:
if len(value) != len(self.members):
raise ValueError(
u'Illegal number of Arguments! Need %d arguments.' %
(len(self.members)))
# validate elements and return as list
return [sub.validate(elem)
for sub, elem in zip(self.members, value)]
except Exception as exc:
raise ValueError(u'Can not validate:', unicode(exc))
def export_value(self, value):
"""returns a python object fit for serialisation"""
return [sub.export_value(elem) for sub, elem in zip(self.members, value)]
def import_value(self, value):
"""returns a python object from serialisation"""
return [sub.import_value(elem) for sub, elem in zip(self.members, value)]
def from_string(self, text):
value, rem = Parser.parse(text)
if rem:
raise ProtocolError(u'trailing garbage: %r' % rem)
return self.validate(value)
def format_value(self, value, unit=None):
return u'(%s)' % (', '.join([sub.format_value(elem)
for sub, elem in zip(self.members, value)]))
class StructOf(DataType):
def __init__(self, optional=None, **members):
self.members = members
if not members:
raise ValueError(u'Empty structs are not allowed!')
self.optional = list(optional or [])
for name, subtype in list(members.items()):
if not isinstance(subtype, DataType):
raise ProgrammingError(
u'StructOf only works with named DataType objs as keyworded arguments!')
if not isinstance(name, (unicode, str)):
raise ProgrammingError(
u'StructOf only works with named DataType objs as keyworded arguments!')
for name in self.optional:
if name not in members:
raise ProgrammingError(
u'Only members of StructOf may be declared as optional!')
self.as_json = [u'struct', dict(members=dict((n, s.as_json)
for n, s in list(members.items())))]
if optional:
self.as_json[1]['optional'] = self.optional
def __repr__(self):
return u'StructOf(%s)' % u', '.join(
[u'%s=%s' % (n, repr(st)) for n, st in list(self.members.items())])
def validate(self, value):
"""return the validated value or raise"""
try:
# XXX: handle optional elements !!!
if len(list(value.keys())) != len(list(self.members.keys())):
raise ValueError(
u'Illegal number of Arguments! Need %d arguments.' %
len(list(self.members.keys())))
# validate elements and return as dict
return dict((unicode(k), self.members[k].validate(v))
for k, v in list(value.items()))
except Exception as exc:
raise ValueError(u'Can not validate %s: %s' % (repr(value), unicode(exc)))
def export_value(self, value):
"""returns a python object fit for serialisation"""
if len(list(value.keys())) != len(list(self.members.keys())):
raise ValueError(
u'Illegal number of Arguments! Need %d arguments.' % len(
list(self.members.keys())))
return dict((unicode(k), self.members[k].export_value(v))
for k, v in list(value.items()))
def import_value(self, value):
"""returns a python object from serialisation"""
if len(list(value.keys())) != len(list(self.members.keys())):
raise ValueError(
u'Illegal number of Arguments! Need %d arguments.' % len(
list(self.members.keys())))
return dict((unicode(k), self.members[k].import_value(v))
for k, v in list(value.items()))
def from_string(self, text):
value, rem = Parser.parse(text)
if rem:
raise ProtocolError(u'trailing garbage: %r' % rem)
return self.validate(dict(value))
def format_value(self, value, unit=None):
return u'{%s}' % (', '.join(['%s=%s' % (k, self.members[k].format_value(v)) for k, v in sorted(value.items())]))
class CommandType(DataType):
IS_COMMAND = True
argtype = None
resulttype = None
def __init__(self, argument=None, result=None):
if argument is not None:
if not isinstance(argument, DataType):
raise ValueError(u'CommandType: Argument type must be a DataType!')
if result is not None:
if not isinstance(result, DataType):
raise ValueError(u'CommandType: Result type must be a DataType!')
self.argtype = argument
self.resulttype = result
if argument:
argument = argument.as_json
if result:
result = result.as_json
self.as_json = [u'command', dict(argument=argument, result=result)]
def __repr__(self):
argstr = repr(self.argtype) if self.argtype else ''
if self.resulttype is None:
return u'CommandType(%s)' % argstr
return u'CommandType(%s)->%s' % (argstr, repr(self.resulttype))
def validate(self, value):
"""return the validated argument value or raise"""
return self.argtype.validate(value)
def export_value(self, value):
raise ProgrammingError(u'values of type command can not be transported!')
def import_value(self, value):
raise ProgrammingError(u'values of type command can not be transported!')
def from_string(self, text):
value, rem = Parser.parse(text)
if rem:
raise ProtocolError(u'trailing garbage: %r' % rem)
return self.validate(value)
def format_value(self, value, unit=None):
# actually I have no idea what to do here!
raise NotImplementedError
# Goodie: Convenience Datatypes for Programming
class LimitsType(StructOf):
def __init__(self, _min=None, _max=None):
StructOf.__init__(self, min=FloatRange(_min,_max), max=FloatRange(_min, _max))
def validate(self, value):
limits = StructOf.validate(self, value)
if limits.max < limits.min:
raise ValueError(u'Maximum Value %s must be greater than minimum value %s!' % (limits['max'], limits['min']))
return limits
class Status(TupleOf):
# shorten initialisation and allow acces to status enumMembers from status values
def __init__(self, enum):
TupleOf.__init__(self, EnumType(enum), StringType())
self.enum = enum
def __getattr__(self, key):
enum = TupleOf.__getattr__(self, 'enum')
if hasattr(enum, key):
return getattr(enum, key)
return TupleOf.__getattr__(self, key)
# argumentnames to lambda from spec!
DATATYPES = dict(
bool =BoolType,
int =lambda min, max, **kwds: IntRange(minval=min, maxval=max, **kwds),
scaled =lambda scale, min, max, **kwds: ScaledInteger(scale=scale, minval=min*scale, maxval=max*scale, **kwds),
double =lambda min=None, max=None, **kwds: FloatRange(minval=min, maxval=max, **kwds),
blob =lambda min=0, max=None: BLOBType(minsize=min, maxsize=max),
string =lambda min=0, max=None: StringType(minsize=min, maxsize=max),
array =lambda min, max, members: ArrayOf(get_datatype(members), minsize=min, maxsize=max),
tuple =lambda members=[]: TupleOf(*map(get_datatype, members)),
enum =lambda members={}: EnumType('', members=members),
struct =lambda members: StructOf(
**dict((n, get_datatype(t)) for n, t in list(members.items()))),
command = lambda argument, result: CommandType(get_datatype(argument), get_datatype(result)),
)
# important for getting the right datatype from formerly jsonified descr.
def get_datatype(json):
"""returns a DataType object from description
inverse of <DataType>.export_datatype()
"""
if json is None:
return json
if not isinstance(json, list):
raise ValueError(
u'Can not interpret datatype %r, it should be a list!' % json)
if len(json) != 2:
raise ValueError(u'Can not interpret datatype %r, it should be a list of 2 elements!' % json)
base, args = json
if base in DATATYPES:
try:
return DATATYPES[base](**args)
except (TypeError, AttributeError):
raise ValueError(u'Invalid datatype descriptor in %r' % json)
raise ValueError(u'can not convert %r to datatype: unknown descriptor!' % json)