frappy/secop/datatypes.py

#  -*- 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."""

# pylint: disable=abstract-method


import sys
from base64 import b64decode, b64encode

from secop.errors import ProgrammingError, ProtocolError, BadValueError, ConfigError
from secop.lib.enum import Enum
from secop.parse import Parser
from secop.properties import HasProperties, Property


# Only export these classes for 'from secop.datatypes import *'
__all__ = [
    'DataType',
    'FloatRange', 'IntRange',
    'BoolType', 'EnumType',
    'BLOBType', 'StringType',
    'TupleOf', 'ArrayOf', 'StructOf',
    'CommandType',
]

# *DEFAULT* limits for IntRange/ScaledIntegers transport serialisation
DEFAULT_MIN_INT = -16777216
DEFAULT_MAX_INT = 16777216
UNLIMITED = 1 << 64  # internal limit for integers, is probably high enough for any datatype size

Parser = Parser()

# base class for all DataTypes
class DataType(HasProperties):
    IS_COMMAND = False
    unit = ''
    default = None

    def __call__(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"""
        raise NotImplementedError

    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 str 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

    def set_properties(self, **kwds):
        """init datatype properties"""
        try:
            for k,v in kwds.items():
                self.setProperty(k, v)
            self.checkProperties()
        except Exception as e:
            raise ProgrammingError(str(e))

    def get_info(self, **kwds):
        """prepare dict for export or repr

        get a dict with all items different from default
        plus mandatory keys from kwds"""
        result = self.exportProperties()
        result.update(kwds)
        return result

    def copy(self):
        """make a deep copy of the datatype"""

        # looks like the simplest way to make a deep copy
        return get_datatype(self.export_datatype())


class Stub(DataType):
    """incomplete datatype, to be replaced with a proper one later during module load

    this workaround because datatypes need properties with datatypes defined later
    """
    def __init__(self, datatype_name, *args):
        super().__init__()
        self.name = datatype_name
        self.args = args

    def __call__(self, value):
        """validate"""
        return value

    @classmethod
    def fix_datatypes(cls):
        """replace stubs with real datatypes

        for all DataType classes in this module
        to be called after all involved datatypes are defined
        """
        for dtcls in globals().values():
            if isinstance(dtcls, type) and issubclass(dtcls, DataType):
                for prop in dtcls.properties.values():
                    stub = prop.datatype
                    if isinstance(stub, cls):
                        prop.datatype = globals()[stub.name](*stub.args)

# SECoP types:

class FloatRange(DataType):
    """Restricted float type"""
    properties = {
        'min': Property('low limit', Stub('FloatRange'), extname='min', default=float('-inf')),
        'max': Property('high limit', Stub('FloatRange'), extname='max', default=float('+inf')),
        'unit': Property('physical unit', Stub('StringType'), extname='unit', default=''),
        'fmtstr': Property('format string', Stub('StringType'), extname='fmtstr', default='%g'),
        'absolute_resolution': Property('absolute resolution', Stub('FloatRange', 0),
                                        extname='absolute_resolution', default=0.0),
        'relative_resolution': Property('relative resolution', Stub('FloatRange', 0),
                                        extname='relative_resolution', default=1.2e-7),
    }

    def __init__(self, minval=None, maxval=None, **kwds):
        super().__init__()
        if minval is not None:
            kwds['min'] = minval
        if maxval is not None:
            kwds['max'] = maxval
        self.set_properties(**kwds)

    def checkProperties(self):
        self.default = 0 if self.min <= 0 <= self.max else self.min
        super().checkProperties()
        if '%' not in self.fmtstr:
            raise ConfigError('Invalid fmtstr!')

    def export_datatype(self):
        return self.get_info(type='double')

    def __call__(self, value):
        try:
            value = float(value)
        except Exception:
            raise BadValueError('Can not __call__ %r to float' % value)
        prec = max(abs(value * self.relative_resolution), self.absolute_resolution)
        if self.min - prec <= value <= self.max + prec:
            return min(max(value, self.min), self.max)
        raise BadValueError('%.14g should be a float between %.14g and %.14g' %
                         (value, self.min, self.max))

    def __repr__(self):
        hints = self.get_info()
        if 'min' in hints:
            hints['minval'] = hints.pop('min')
        if 'max' in hints:
            hints['maxval'] = hints.pop('max')
        return 'FloatRange(%s)' % (', '.join('%s=%r' % (k,v) for k,v in hints.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(value)

    def format_value(self, value, unit=None):
        if unit is None:
            unit = self.unit
        if unit:
            return ' '.join([self.fmtstr % value, unit])
        return self.fmtstr % value



class IntRange(DataType):
    """Restricted int type"""
    properties = {
        'min': Property('minimum value', Stub('IntRange', -UNLIMITED, UNLIMITED), extname='min', mandatory=True),
        'max': Property('maximum value', Stub('IntRange', -UNLIMITED, UNLIMITED), extname='max', mandatory=True),
        # a unit on an int is now allowed in SECoP, but do we need them in Frappy?
        # 'unit': Property('physical unit', StringType(), extname='unit', default=''),
    }

    def __init__(self, minval=None, maxval=None):
        super().__init__()
        self.set_properties(min=DEFAULT_MIN_INT if minval is None else minval,
                            max=DEFAULT_MAX_INT if maxval is None else maxval)

    def checkProperties(self):
        self.default = 0 if self.min <= 0 <= self.max else self.min
        super().checkProperties()

    def export_datatype(self):
        return self.get_info(type='int')

    def __call__(self, value):
        try:
            value = int(value)
            if not (self.min <= value <= self.max) or int(value) != value:
                raise BadValueError('%r should be an int between %d and %d' %
                                 (value, self.min, self.max))
            return value
        except Exception:
            raise BadValueError('Can not convert %r to int' % value)

    def __repr__(self):
        return 'IntRange(%d, %d)' % (self.min, self.max)

    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(value)

    def format_value(self, value, unit=None):
        return '%d' % 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"""
    properties = {
        'scale': Property('scale factor', FloatRange(sys.float_info.min), extname='scale', mandatory=True),
        'min': Property('low limit', FloatRange(), extname='min', mandatory=True),
        'max': Property('high limit', FloatRange(), extname='max', mandatory=True),
        'unit': Property('physical unit', Stub('StringType'), extname='unit', default=''),
        'fmtstr': Property('format string', Stub('StringType'), extname='fmtstr', default='%g'),
        'absolute_resolution': Property('absolute resolution', FloatRange(0),
                                        extname='absolute_resolution', default=0.0),
        'relative_resolution': Property('relative resolution', FloatRange(0),
                                        extname='relative_resolution', default=1.2e-7),
    }

    def __init__(self, scale, minval=None, maxval=None, absolute_resolution=None, **kwds):
        super().__init__()
        scale = float(scale)
        if absolute_resolution is None:
            absolute_resolution = scale
        self.set_properties(scale=scale,
            min=DEFAULT_MIN_INT * scale if minval is None else float(minval),
            max=DEFAULT_MAX_INT * scale if maxval is None else float(maxval),
            absolute_resolution=absolute_resolution,
            **kwds)

    def checkProperties(self):
        self.default = 0 if self.min <= 0 <= self.max else self.min
        super().checkProperties()

        # check values
        if '%' not in self.fmtstr:
            raise BadValueError('Invalid fmtstr!')
        # Remark: Datatype.copy() will round min, max to a multiple of self.scale
        # this should be o.k.

    def exportProperties(self):
        result = super().exportProperties()
        if self.absolute_resolution == 0:
            result['absolute_resolution'] = 0
        elif self.absolute_resolution == self.scale:
            result.pop('absolute_resolution', 0)
        return result

    def setProperty(self, key, value):
        if key == 'scale' and self.absolute_resolution == self.scale:
            super().setProperty('absolute_resolution', value)
        super().setProperty(key, value)

    def export_datatype(self):
        return self.get_info(type='scaled',
                                min = int((self.min + self.scale * 0.5) // self.scale),
                                max = int((self.max + self.scale * 0.5) // self.scale))

    def __call__(self, value):
        try:
            value = float(value)
        except Exception:
            raise BadValueError('Can not convert %r to float' % value)
        prec = max(self.scale, abs(value * self.relative_resolution),
                   self.absolute_resolution)
        if self.min - prec <= value <= self.max + prec:
            value = min(max(value, self.min), self.max)
        else:
            raise BadValueError('%g should be a float between %g and %g' %
                             (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):
        hints = self.get_info(scale=float('%g' % self.scale),
                              min = int((self.min + self.scale * 0.5) // self.scale),
                              max = int((self.max + self.scale * 0.5) // self.scale))
        return 'ScaledInteger(%s)' % (', '.join('%s=%r' % kv for kv in hints.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(value)

    def format_value(self, value, unit=None):
        if unit is None:
            unit = self.unit
        if unit:
            return ' '.join([self.fmtstr % value, unit])
        return self.fmtstr % value


class EnumType(DataType):

    def __init__(self, enum_or_name='', **kwds):
        super().__init__()
        if 'members' in kwds:
            kwds = dict(kwds)
            kwds.update(kwds['members'])
            kwds.pop('members')
        self._enum = Enum(enum_or_name, **kwds)
        self.default = self._enum[self._enum.members[0]]

    def copy(self):
        # as the name is not exported, we have to implement copy ourselfs
        return EnumType(self._enum)

    def export_datatype(self):
        return {'type': 'enum', 'members':dict((m.name, m.value) for m in self._enum.members)}

    def __repr__(self):
        return "EnumType(%r, %s)" % (self._enum.name, ', '.join('%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(value))

    def import_value(self, value):
        """returns a python object from serialisation"""
        return self(value)

    def __call__(self, value):
        """return the validated (internal) value or raise"""
        try:
            return self._enum[value]
        except (KeyError, TypeError): # TypeError will be raised when value is not hashable
            raise BadValueError('%r is not a member of enum %r' % (value, self._enum))

    def from_string(self, text):
        return self(text)

    def format_value(self, value, unit=None):
        return '%s<%s>' % (self._enum[value].name, self._enum[value].value)


class BLOBType(DataType):
    properties = {
        'minbytes': Property('minimum number of bytes', IntRange(0), extname='minbytes',
                             default=0),
        'maxbytes': Property('maximum number of bytes', IntRange(0), extname='maxbytes',
                             mandatory=True),
    }

    def __init__(self, minbytes=0, maxbytes=None):
        super().__init__()
        # if only one argument is given, use exactly that many bytes
        # if nothing is given, default to 255
        if maxbytes is None:
            maxbytes = minbytes or 255
        self.set_properties(minbytes=minbytes, maxbytes=maxbytes)

    def checkProperties(self):
        self.default = b'\0' * self.minbytes
        super().checkProperties()

    def export_datatype(self):
        return self.get_info(type='blob')

    def __repr__(self):
        return 'BLOBType(%d, %d)' % (self.minbytes, self.maxbytes)

    def __call__(self, value):
        """return the validated (internal) value or raise"""
        if not isinstance(value, bytes):
            raise BadValueError('%r has the wrong type!' % value)
        size = len(value)
        if size < self.minbytes:
            raise BadValueError(
                '%r must be at least %d bytes long!' % (value, self.minbytes))
        if size > self.maxbytes:
            raise BadValueError(
                '%r must be at most %d bytes long!' % (value, self.maxbytes))
        return value

    def export_value(self, value):
        """returns a python object fit for serialisation"""
        return b64encode(value).decode('ascii')

    def import_value(self, value):
        """returns a python object from serialisation"""
        return b64decode(value)

    def from_string(self, text):
        value = text
        # XXX: what should we do here?
        return self(value)

    def format_value(self, value, unit=None):
        return repr(value)


class StringType(DataType):
    properties = {
        'minchars': Property('minimum number of character points', IntRange(0, UNLIMITED),
                             extname='minchars', default=0),
        'maxchars': Property('maximum number of character points', IntRange(0, UNLIMITED),
                             extname='maxchars', default=UNLIMITED),
        'isUTF8': Property('flag telling whether encoding is UTF-8 instead of ASCII',
                           Stub('BoolType'), extname='isUTF8', default=False),
    }

    def __init__(self, minchars=0, maxchars=None, **kwds):
        super().__init__()
        if maxchars is None:
            maxchars = minchars or UNLIMITED
        self.set_properties(minchars=minchars, maxchars=maxchars, **kwds)

    def checkProperties(self):
        self.default = ' ' * self.minchars
        super().checkProperties()

    def export_datatype(self):
        return self.get_info(type='string')

    def __repr__(self):
        return 'StringType(%s)' % (', '.join('%s=%r' % kv for kv in self.get_info().items()))

    def __call__(self, value):
        """return the validated (internal) value or raise"""
        if not isinstance(value, str):
            raise BadValueError('%r has the wrong type!' % value)
        if not self.isUTF8:
            try:
                value.encode('ascii')
            except UnicodeEncodeError:
                raise BadValueError('%r contains non-ascii character!' % value)
        size = len(value)
        if size < self.minchars:
            raise BadValueError(
                '%r must be at least %d bytes long!' % (value, self.minchars))
        if size > self.maxchars:
            raise BadValueError(
                '%r must be at most %d bytes long!' % (value, self.maxchars))
        if '\0' in value:
            raise BadValueError(
                '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 '%s' % value

    def import_value(self, value):
        """returns a python object from serialisation"""
        return str(value)

    def from_string(self, text):
        value = str(text)
        return self(value)

    def format_value(self, value, unit=None):
        return repr(value)


# TextType is a special StringType intended for longer texts (i.e. embedding \n),
# whereas StringType is supposed to not contain '\n'
# unfortunately, SECoP makes no distinction here....
# note: content is supposed to follow the format of a git commit message, i.e. a line of text, 2 '\n' + a longer explanation
class TextType(StringType):
    def __init__(self, maxchars=None):
        if maxchars is None:
            maxchars = UNLIMITED
        super(TextType, self).__init__(0, maxchars)

    def __repr__(self):
        return 'TextType(%d, %d)' % (self.minchars, self.maxchars)

    def copy(self):
        # DataType.copy will not work, because it is exported as 'string'
        return TextType(self.maxchars)


class BoolType(DataType):
    default = False

    def export_datatype(self):
        return {'type': 'bool'}

    def __repr__(self):
        return 'BoolType()'

    def __call__(self, value):
        """return the validated (internal) value or raise"""
        if value in [0, '0', 'False', 'false', 'no', 'off', False]:
            return False
        if value in [1, '1', 'True', 'true', 'yes', 'on', True]:
            return True
        raise BadValueError('%r is not a boolean value!' % value)

    def export_value(self, value):
        """returns a python object fit for serialisation"""
        return self(value)

    def import_value(self, value):
        """returns a python object from serialisation"""
        return self(value)

    def from_string(self, text):
        value = text
        return self(value)

    def format_value(self, value, unit=None):
        return repr(bool(value))

Stub.fix_datatypes()

#
# nested types
#


class ArrayOf(DataType):
    properties = {
        'minlen': Property('minimum number of elements', IntRange(0), extname='minlen',
                           default=0),
        'maxlen': Property('maximum number of elements', IntRange(0), extname='maxlen',
                           mandatory=True),
    }

    def __init__(self, members, minlen=0, maxlen=None):
        super().__init__()
        if not isinstance(members, DataType):
            raise BadValueError(
                'ArrayOf only works with a DataType as first argument!')
        # one argument -> exactly that size
        # argument default to 100
        if maxlen is None:
            maxlen = minlen or 100
        self.members = members
        self.set_properties(minlen=minlen, maxlen=maxlen)

    def checkProperties(self):
        self.default = [self.members.default] * self.minlen
        super().checkProperties()

    def getProperties(self):
        """get also properties of members"""
        return {**super().getProperties(), **self.members.getProperties()}

    def setProperty(self, key, value):
        """set also properties of members"""
        if key in self.__class__.properties:
            super().setProperty(key, value)
        else:
            self.members.setProperty(key, value)

    def export_datatype(self):
        return dict(type='array', minlen=self.minlen, maxlen=self.maxlen,
                               members=self.members.export_datatype())

    def __repr__(self):
        return 'ArrayOf(%s, %s, %s)' % (
            repr(self.members), self.minlen, self.maxlen)

    def __call__(self, value):
        """validate an external representation to an internal one"""
        if isinstance(value, (tuple, list)):
            # check number of elements
            if self.minlen is not None and len(value) < self.minlen:
                raise BadValueError(
                    'Array too small, needs at least %d elements!' %
                    self.minlen)
            if self.maxlen is not None and len(value) > self.maxlen:
                raise BadValueError(
                    'Array too big, holds at most %d elements!' % self.minlen)
            # apply subtype valiation to all elements and return as list
            return [self.members(elem) for elem in value]
        raise BadValueError(
            '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('trailing garbage: %r' % rem)
        return self(value)

    def format_value(self, value, unit=None):
        if unit is None:
            unit = self.unit or self.members.unit
        res = '[%s]' % (', '.join([self.members.format_value(elem, '') for elem in value]))
        if unit:
            return ' '.join([res, unit])
        return res


class TupleOf(DataType):

    def __init__(self, *members):
        super().__init__()
        if not members:
            raise BadValueError('Empty tuples are not allowed!')
        for subtype in members:
            if not isinstance(subtype, DataType):
                raise BadValueError(
                    'TupleOf only works with DataType objs as arguments!')
        self.members = members
        self.default = tuple(el.default for el in members)

    def export_datatype(self):
        return dict(type='tuple', members=[subtype.export_datatype() for subtype in self.members])

    def __repr__(self):
        return 'TupleOf(%s)' % ', '.join([repr(st) for st in self.members])

    def __call__(self, value):
        """return the validated value or raise"""
        # keep the ordering!
        try:
            if len(value) != len(self.members):
                raise BadValueError(
                    'Illegal number of Arguments! Need %d arguments.' %
                        (len(self.members)))
            # validate elements and return as list
            return [sub(elem)
                    for sub, elem in zip(self.members, value)]
        except Exception as exc:
            raise BadValueError('Can not validate:', str(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('trailing garbage: %r' % rem)
        return self(value)

    def format_value(self, value, unit=None):
        return '(%s)' % (', '.join([sub.format_value(elem)
                                     for sub, elem in zip(self.members, value)]))


class StructOf(DataType):

    def __init__(self, optional=None, **members):
        super().__init__()
        self.members = members
        if not members:
            raise BadValueError('Empty structs are not allowed!')
        self.optional = list(optional or [])
        for name, subtype in list(members.items()):
            if not isinstance(subtype, DataType):
                raise ProgrammingError(
                    'StructOf only works with named DataType objs as keyworded arguments!')
            if not isinstance(name, str):
                raise ProgrammingError(
                    'StructOf only works with named DataType objs as keyworded arguments!')
        for name in self.optional:
            if name not in members:
                raise ProgrammingError(
                    'Only members of StructOf may be declared as optional!')
        self.default = dict((k,el.default) for k, el in members.items())

    def export_datatype(self):
        res = dict(type='struct', members=dict((n, s.export_datatype())
                                       for n, s in list(self.members.items())))
        if self.optional:
            res['optional'] = self.optional
        return res

    def __repr__(self):
        opt = self.optional if self.optional else ''
        return 'StructOf(%s%s)' % (', '.join(
            ['%s=%s' % (n, repr(st)) for n, st in list(self.members.items())]), opt)

    def __call__(self, value):
        """return the validated value or raise"""
        try:
            # XXX: handle optional elements !!!
            if len(list(value.keys())) != len(list(self.members.keys())):
                raise BadValueError(
                    'Illegal number of Arguments! Need %d arguments.' %
                        len(list(self.members.keys())))
            # validate elements and return as dict
            return dict((str(k), self.members[k](v))
                        for k, v in list(value.items()))
        except Exception as exc:
            raise BadValueError('Can not validate %s: %s' % (repr(value), str(exc)))

    def export_value(self, value):
        """returns a python object fit for serialisation"""
        if len(list(value.keys())) != len(list(self.members.keys())):
            raise BadValueError(
                'Illegal number of Arguments! Need %d arguments.' % len(
                    list(self.members.keys())))
        return dict((str(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 BadValueError(
                'Illegal number of Arguments! Need %d arguments.' % len(
                    list(self.members.keys())))
        return dict((str(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('trailing garbage: %r' % rem)
        return self(dict(value))

    def format_value(self, value, unit=None):
        return '{%s}' % (', '.join(['%s=%s' % (k, self.members[k].format_value(v)) for k, v in sorted(value.items())]))


class CommandType(DataType):
    IS_COMMAND = True

    def __init__(self, argument=None, result=None):
        super().__init__()
        if argument is not None:
            if not isinstance(argument, DataType):
                raise BadValueError('CommandType: Argument type must be a DataType!')
        if result is not None:
            if not isinstance(result, DataType):
                raise BadValueError('CommandType: Result type must be a DataType!')
        self.argument = argument
        self.result = result

    def export_datatype(self):
        a, r = self.argument, self.result
        props = {'type': 'command'}
        if a is not None:
            props['argument'] = a.export_datatype()
        if r is not None:
            props['result'] = r.export_datatype()
        return props

    def __repr__(self):
        argstr = repr(self.argument) if self.argument else ''
        if self.result is None:
            return 'CommandType(%s)' % argstr
        return 'CommandType(%s)->%s' % (argstr, repr(self.result))

    def __call__(self, value):
        """return the validated argument value or raise"""
        return self.argument(value)

    def export_value(self, value):
        raise ProgrammingError('values of type command can not be transported!')

    def import_value(self, value):
        raise ProgrammingError('values of type command can not be transported!')

    def from_string(self, text):
        value, rem = Parser.parse(text)
        if rem:
            raise ProtocolError('trailing garbage: %r' % rem)
        return self(value)

    def format_value(self, value, unit=None):
        # actually I have no idea what to do here!
        raise NotImplementedError


# internally used datatypes (i.e. only for programming the SEC-node)
class DataTypeType(DataType):
    def __call__(self, value):
        """check if given value (a python obj) is a valid datatype

        returns the value or raises an appropriate exception"""
        if isinstance(value, DataType):
            return value
        raise ProgrammingError('%r should be a DataType!' % value)

    def export_value(self, value):
        """if needed, reformat value for transport"""
        return value.export_datatype()

    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.
        """
        raise NotImplementedError


class ValueType(DataType):
    """validates any python value"""
    def __call__(self, value):
        """check if given value (a python obj) is valid for this datatype

        returns the value or raises an appropriate exception"""
        return value

    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.
        """
        raise NotImplementedError


class NoneOr(DataType):
    """validates a None or smth. else"""
    default = None

    def __init__(self, other):
        super().__init__()
        self.other = other

    def __call__(self, value):
        return None if value is None else self.other(value)

    def export_value(self, value):
        if value is None:
            return None
        return self.other.export_value(value)


class OrType(DataType):
    def __init__(self, *types):
        super().__init__()
        self.types = types
        self.default = self.types[0].default

    def __call__(self, value):
        for t in self.types:
            try:
                return t(value)
            except Exception:
                pass
        raise BadValueError("Invalid Value, must conform to one of %s" % (', '.join((str(t) for t in self.types))))


Int8   = IntRange(-(1 << 7),  (1 << 7) - 1)
Int16  = IntRange(-(1 << 15), (1 << 15) - 1)
Int32  = IntRange(-(1 << 31), (1 << 31) - 1)
Int64  = IntRange(-(1 << 63), (1 << 63) - 1)
UInt8  = IntRange(0, (1 << 8) - 1)
UInt16 = IntRange(0, (1 << 16) - 1)
UInt32 = IntRange(0, (1 << 32) - 1)
UInt64 = IntRange(0, (1 << 64) - 1)


# 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 __call__(self, value):
        limits = StructOf.__call__(self, value)
        if limits['max'] < limits['min']:
            raise BadValueError('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 maxbytes, minbytes=0: BLOBType(minbytes=minbytes, maxbytes=maxbytes),
    string  =lambda minchars=0, maxchars=None, isUTF8=False: StringType(minchars=minchars, maxchars=maxchars, isUTF8=isUTF8),
    array   =lambda maxlen, members, minlen=0: ArrayOf(get_datatype(members), minlen=minlen, maxlen=maxlen),
    tuple   =lambda members: TupleOf(*tuple(map(get_datatype, members))),
    enum    =lambda members: EnumType('', members=members),
    struct  =lambda members, optional=None: StructOf(optional,
        **dict((n, get_datatype(t)) for n, t in list(members.items()))),
    command = lambda argument=None, result=None: 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 isinstance(json, list) and len(json) == 2:
        base, args = json # still allow old syntax
    else:
        try:
            args = json.copy()
            base = args.pop('type')
        except (TypeError, KeyError, AttributeError):
            raise BadValueError('a data descriptor must be a dict containing a "type" key, not %r' % json)
    try:
        return DATATYPES[base](**args)
    except Exception as e:
        raise BadValueError('invalid data descriptor: %r (%s)' % (json, str(e)))