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frappy/test/test_datatypes.py
Enrico Faulhaber 94959f2e9b rework message syntax to conform to latest decisions 
needs a bigger rework, since READREPLY and EVENTREPLY are now different....
Also the format of the error-reply got changed :(

Change-Id: I1760743238227730ee49aaf92b54e0ff5f25423b
Reviewed-on: https://forge.frm2.tum.de/review/20246
Tested-by: JenkinsCodeReview <bjoern_pedersen@frm2.tum.de>
Reviewed-by: Enrico Faulhaber <enrico.faulhaber@frm2.tum.de>
2019-03-28 13:38:18 +01:00

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# -*- 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>
#
# *****************************************************************************
"""test data types."""
from __future__ import division, print_function
# no fixtures needed
import pytest
from secop.datatypes import ArrayOf, BLOBType, BoolType, \
DataType, EnumType, FloatRange, IntRange, ProgrammingError, \
ScaledInteger, StringType, StructOf, TupleOf, get_datatype
def test_DataType():
dt = DataType()
assert dt.as_json == [u'undefined']
with pytest.raises(NotImplementedError):
dt = DataType()
dt.validate('')
dt.export_value('')
dt.import_value('')
def test_FloatRange():
dt = FloatRange(-3.14, 3.14)
assert dt.as_json == [u'double', {u'min':-3.14, u'max':3.14}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate(u'XX')
with pytest.raises(ValueError):
dt.validate([19, u'X'])
dt.validate(1)
dt.validate(0)
assert dt.export_value(-2.718) == -2.718
assert dt.import_value(-2.718) == -2.718
with pytest.raises(ValueError):
FloatRange(u'x', u'Y')
dt = FloatRange()
assert dt.as_json == [u'double', {}]
dt = FloatRange(unit=u'X', fmtstr=u'%r', absolute_precision=1,
relative_precision=0.1)
assert dt.as_json == [u'double', {u'unit':u'X', u'fmtstr':u'%r',
u'absolute_precision':1,
u'relative_precision':0.1}]
assert dt.validate(4) == 4
assert dt.format_value(3.14) == u'3.14 X'
assert dt.format_value(3.14, u'') == u'3.14'
assert dt.format_value(3.14, u'#') == u'3.14 #'
def test_IntRange():
dt = IntRange(-3, 3)
assert dt.as_json == [u'int', {u'min':-3, u'max':3}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate(u'XX')
with pytest.raises(ValueError):
dt.validate([19, u'X'])
dt.validate(1)
dt.validate(0)
with pytest.raises(ValueError):
IntRange(u'xc', u'Yx')
dt = IntRange()
assert dt.as_json[0] == u'int'
assert dt.as_json[1][u'min'] < 0 < dt.as_json[1][u'max']
dt = IntRange(unit=u'X', fmtstr=u'%r')
assert dt.as_json == [u'int', {u'fmtstr': u'%r', u'max': 16777216,
u'min': -16777216, u'unit': u'X'}]
assert dt.format_value(42) == u'42 X'
assert dt.format_value(42, u'') == u'42'
assert dt.format_value(42, u'Z') == u'42 Z'
def test_ScaledInteger():
dt = ScaledInteger(0.01, -3, 3)
# serialisation of datatype contains limits on the 'integer' value
assert dt.as_json == [u'scaled', {u'scale':0.01, u'min':-300, u'max':300}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate(u'XX')
with pytest.raises(ValueError):
dt.validate([19, u'X'])
dt.validate(1)
dt.validate(0)
with pytest.raises(ValueError):
ScaledInteger(u'xc', u'Yx')
with pytest.raises(ValueError):
ScaledInteger(scale=0, minval=1, maxval=2)
with pytest.raises(ValueError):
ScaledInteger(scale=-10, minval=1, maxval=2)
assert dt.export_value(0.0001) == int(0)
assert dt.export_value(2.71819) == int(272)
assert dt.import_value(272) == 2.72
dt = ScaledInteger(0.003, 0, 1, unit=u'X', fmtstr=u'%r',
absolute_precision=1, relative_precision=0.1)
assert dt.as_json == [u'scaled', {u'scale':0.003,u'min':0,u'max':333,
u'unit':u'X', u'fmtstr':u'%r',
u'absolute_precision':1,
u'relative_precision':0.1}]
assert dt.validate(0.4) == 0.399
assert dt.format_value(0.4) == u'0.4 X'
assert dt.format_value(0.4, u'') == u'0.4'
assert dt.format_value(0.4, u'Z') == u'0.4 Z'
def test_EnumType():
# test constructor catching illegal arguments
with pytest.raises(TypeError):
EnumType(1)
with pytest.raises(TypeError):
EnumType([u'b', 0])
dt = EnumType(u'dt', a=3, c=7, stuff=1)
assert dt.as_json == [u'enum', dict(members=dict(a=3, c=7, stuff=1))]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate(u'XX')
with pytest.raises(TypeError):
dt.validate([19, u'X'])
assert dt.validate(u'a') == 3
assert dt.validate(u'stuff') == 1
assert dt.validate(1) == 1
with pytest.raises(ValueError):
dt.validate(2)
assert dt.export_value(u'c') == 7
assert dt.export_value(u'stuff') == 1
assert dt.export_value(1) == 1
assert dt.import_value(u'c') == 7
assert dt.import_value(u'a') == 3
assert dt.import_value(u'stuff') == 1
with pytest.raises(ValueError):
dt.export_value(2)
with pytest.raises(ValueError):
dt.import_value(u'A')
assert dt.format_value(3) == u'a<3>'
def test_BLOBType():
# test constructor catching illegal arguments
dt = BLOBType()
assert dt.as_json == [u'blob', {u'min':0, u'max':255}]
dt = BLOBType(10)
assert dt.as_json == [u'blob', {u'min':10, u'max':10}]
dt = BLOBType(3, 10)
assert dt.as_json == [u'blob', {u'min':3, u'max':10}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(u'av')
with pytest.raises(ValueError):
dt.validate(u'abcdefghijklmno')
assert dt.validate('abcd') == b'abcd'
assert dt.validate(b'abcd') == b'abcd'
assert dt.validate(u'abcd') == b'abcd'
assert dt.export_value('abcd') == u'YWJjZA=='
assert dt.export_value(b'abcd') == u'YWJjZA=='
assert dt.export_value(u'abcd') == u'YWJjZA=='
assert dt.import_value(u'YWJjZA==') == b'abcd'
# XXX: right? or different format?
assert dt.format_value(b'ab\0cd') == '\'ab\\x00cd\''
def test_StringType():
# test constructor catching illegal arguments
dt = StringType()
dt = StringType(12)
assert dt.as_json == [u'string', {u'min':12, u'max':12}]
dt = StringType(4, 11)
assert dt.as_json == [u'string', {u'min':4, u'max':11}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(u'av')
with pytest.raises(ValueError):
dt.validate(u'abcdefghijklmno')
with pytest.raises(ValueError):
dt.validate('abcdefg\0')
assert dt.validate('abcd') == b'abcd'
assert dt.validate(b'abcd') == b'abcd'
assert dt.validate(u'abcd') == b'abcd'
assert dt.export_value('abcd') == b'abcd'
assert dt.export_value(b'abcd') == b'abcd'
assert dt.export_value(u'abcd') == b'abcd'
assert dt.import_value(u'abcd') == u'abcd'
assert dt.format_value(u'abcd') == u"u'abcd'"
def test_BoolType():
# test constructor catching illegal arguments
dt = BoolType()
assert dt.as_json == [u'bool', {}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(u'av')
assert dt.validate(u'true') is True
assert dt.validate(u'off') is False
assert dt.validate(1) is True
assert dt.export_value(u'false') is False
assert dt.export_value(0) is False
assert dt.export_value(u'on') is True
assert dt.import_value(False) is False
assert dt.import_value(True) is True
with pytest.raises(ValueError):
dt.import_value(u'av')
assert dt.format_value(0) == u"False"
assert dt.format_value(True) == u"True"
def test_ArrayOf():
# test constructor catching illegal arguments
with pytest.raises(ValueError):
ArrayOf(int)
with pytest.raises(ValueError):
ArrayOf(-3, IntRange(-10,10))
dt = ArrayOf(IntRange(-10, 10), 5)
assert dt.as_json == [u'array', {u'min':5, u'max':5,
u'members':[u'int', {u'min':-10,
u'max':10}]}]
dt = ArrayOf(IntRange(-10, 10, unit=u'Z'), 1, 3)
assert dt.as_json == [u'array', {u'min':1, u'max':3,
u'members':[u'int', {u'min':-10,
u'max':10,
u'unit':u'Z'}]}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(u'av')
assert dt.validate([1, 2, 3]) == [1, 2, 3]
assert dt.export_value([1, 2, 3]) == [1, 2, 3]
assert dt.import_value([1, 2, 3]) == [1, 2, 3]
assert dt.format_value([1,2,3]) == u'[1, 2, 3] Z'
assert dt.format_value([1,2,3], u'') == u'[1, 2, 3]'
assert dt.format_value([1,2,3], u'Q') == u'[1, 2, 3] Q'
def test_TupleOf():
# test constructor catching illegal arguments
with pytest.raises(ValueError):
TupleOf(2)
dt = TupleOf(IntRange(-10, 10, unit=u'X'), BoolType())
assert dt.as_json == [u'tuple', {u'members':[[u'int', {u'min':-10,
u'max':10,
u'unit':u'X'}],
[u'bool', {}]]}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate([99, 'X'])
assert dt.validate([1, True]) == [1, True]
assert dt.export_value([1, True]) == [1, True]
assert dt.import_value([1, True]) == [1, True]
assert dt.format_value([3,0]) == u"(3 X, False)"
def test_StructOf():
# test constructor catching illegal arguments
with pytest.raises(ValueError):
StructOf(IntRange) # pylint: disable=E1121
with pytest.raises(ProgrammingError):
StructOf(IntRange=1)
dt = StructOf(a_string=StringType(0, 55), an_int=IntRange(0, 999, unit=u'Y'),
optional=[u'an_int'])
assert dt.as_json == [u'struct', {u'members':{u'a_string':
[u'string', {u'min':0, u'max':55}],
u'an_int':
[u'int', {u'min':0, u'max':999,
u'unit':u'Y'}],},
u'optional':[u'an_int'],
}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate([99, u'X'])
with pytest.raises(ValueError):
dt.validate(dict(a_string=u'XXX', an_int=1811))
assert dt.validate(dict(a_string=u'XXX', an_int=8)) == {u'a_string': u'XXX',
u'an_int': 8}
assert dt.export_value({u'an_int': 13, u'a_string': u'WFEC'}) == {
u'a_string': u'WFEC', u'an_int': 13}
assert dt.import_value({u'an_int': 13, u'a_string': u'WFEC'}) == {
u'a_string': u'WFEC', u'an_int': 13}
assert dt.format_value({u'an_int':2, u'a_string':u'Z'}) == u"{a_string=u'Z', an_int=2 Y}"
def test_get_datatype():
with pytest.raises(ValueError):
get_datatype(1)
with pytest.raises(ValueError):
get_datatype(True)
with pytest.raises(ValueError):
get_datatype(str)
with pytest.raises(ValueError):
get_datatype([u'undefined'])
assert isinstance(get_datatype([u'bool', {}]), BoolType)
with pytest.raises(ValueError):
get_datatype([u'bool'])
with pytest.raises(ValueError):
get_datatype([u'bool', 3])
with pytest.raises(ValueError):
get_datatype([u'int', {u'min':-10}])
with pytest.raises(ValueError):
get_datatype([u'int', {u'max':10}])
assert isinstance(get_datatype([u'int', {u'min':-10, u'max':10}]), IntRange)
with pytest.raises(ValueError):
get_datatype([u'int', {u'min':10, u'max':-10}])
with pytest.raises(ValueError):
get_datatype([u'int'])
with pytest.raises(ValueError):
get_datatype([u'int', {}])
with pytest.raises(ValueError):
get_datatype([u'int', 1, 2])
assert isinstance(get_datatype([u'double', {}]), FloatRange)
assert isinstance(get_datatype([u'double', {u'min':-2.718}]), FloatRange)
assert isinstance(get_datatype([u'double', {u'max':3.14}]), FloatRange)
assert isinstance(get_datatype([u'double', {u'min':-9.9, u'max':11.1}]),
FloatRange)
with pytest.raises(ValueError):
get_datatype([u'double'])
with pytest.raises(ValueError):
get_datatype([u'double', {u'min':10, u'max':-10}])
with pytest.raises(ValueError):
get_datatype([u'double', 1, 2])
with pytest.raises(ValueError):
get_datatype([u'scaled', {u'scale':0.01,u'min':-2.718}])
with pytest.raises(ValueError):
get_datatype([u'scaled', {u'scale':0.02,u'max':3.14}])
assert isinstance(get_datatype([u'scaled', {u'scale':0.03,
u'min':-99,
u'max':111}]), ScaledInteger)
dt = ScaledInteger(scale=0.03, minval=0, maxval=9.9)
assert dt.as_json == [u'scaled', {u'max':330, u'min':0, u'scale':0.03}]
assert get_datatype(dt.as_json).as_json == dt.as_json
with pytest.raises(ValueError):
get_datatype([u'scaled']) # dict missing
with pytest.raises(ValueError):
get_datatype([u'scaled', {u'min':-10, u'max':10}]) # no scale
with pytest.raises(ValueError):
get_datatype([u'scaled', {u'min':10, u'max':-10}]) # limits reversed
with pytest.raises(ValueError):
get_datatype([u'scaled', {}, 1, 2]) # trailing data
with pytest.raises(ValueError):
get_datatype([u'enum'])
with pytest.raises(ValueError):
get_datatype([u'enum', dict(a=-2)])
assert isinstance(get_datatype([u'enum', {u'members':dict(a=-2)}]), EnumType)
with pytest.raises(ValueError):
get_datatype([u'enum', 10, -10])
with pytest.raises(ValueError):
get_datatype([u'enum', [1, 2, 3]])
assert isinstance(get_datatype([u'blob', {u'max':1}]), BLOBType)
assert isinstance(get_datatype([u'blob', {u'min':1, u'max':10}]), BLOBType)
with pytest.raises(ValueError):
get_datatype([u'blob', {u'min':10, u'max':1}])
with pytest.raises(ValueError):
get_datatype([u'blob', {u'min':10, u'max':-10}])
with pytest.raises(ValueError):
get_datatype([u'blob', 10, -10, 1])
with pytest.raises(ValueError):
get_datatype([u'string'])
assert isinstance(get_datatype([u'string', {u'min':1}]), StringType)
assert isinstance(get_datatype([u'string', {u'min':1, u'max':10}]), StringType)
with pytest.raises(ValueError):
get_datatype([u'string', {u'min':10, u'max':1}])
with pytest.raises(ValueError):
get_datatype([u'string', {u'min':10, u'max':-10}])
with pytest.raises(ValueError):
get_datatype([u'string', 10, -10, 1])
with pytest.raises(ValueError):
get_datatype([u'array'])
with pytest.raises(ValueError):
get_datatype([u'array', 1])
with pytest.raises(ValueError):
get_datatype([u'array', [1], 2, 3])
assert isinstance(get_datatype([u'array', {u'min':1, u'max':1,
u'members':[u'blob', {u'max':1}]}]
), ArrayOf)
assert isinstance(get_datatype([u'array', {u'min':1, u'max':1,
u'members':[u'blob', {u'max':1}]}]
).members, BLOBType)
with pytest.raises(ValueError):
get_datatype([u'array', {u'members':[u'blob', {u'max':1}], u'min':-10}])
with pytest.raises(ValueError):
get_datatype([u'array', {u'members':[u'blob', {u'max':1}],
u'min':10, 'max':1}])
with pytest.raises(ValueError):
get_datatype([u'array', [u'blob', 1], 10, -10])
with pytest.raises(ValueError):
get_datatype([u'tuple'])
with pytest.raises(ValueError):
get_datatype([u'tuple', 1])
with pytest.raises(ValueError):
get_datatype([u'tuple', [1], 2, 3])
assert isinstance(get_datatype([u'tuple', {u'members':[[u'blob',
{u'max':1}]]}]), TupleOf)
assert isinstance(get_datatype([u'tuple', {u'members':[[u'blob',
{u'max':1}]]}]).members[0], BLOBType)
with pytest.raises(ValueError):
get_datatype([u'tuple', {}])
with pytest.raises(ValueError):
get_datatype([u'tuple', 10, -10])
assert isinstance(get_datatype([u'tuple', {u'members':[[u'blob', {u'max':1}],
[u'bool',{}]]}]), TupleOf)
with pytest.raises(ValueError):
get_datatype([u'struct'])
with pytest.raises(ValueError):
get_datatype([u'struct', 1])
with pytest.raises(ValueError):
get_datatype([u'struct', [1], 2, 3])
assert isinstance(get_datatype([u'struct', {u'members':
{u'name': [u'blob', {u'max':1}]}}]), StructOf)
assert isinstance(get_datatype([u'struct', {u'members':
{u'name': [u'blob', {u'max':1}]}}]).members[u'name'], BLOBType)
with pytest.raises(ValueError):
get_datatype([u'struct', {}])
with pytest.raises(ValueError):
get_datatype([u'struct', {u'members':[1,2,3]}])
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