Implement ScaledInteger type

Change-Id: I14d55d2427017e1e07f947504348804c3e66848e
Reviewed-on: https://forge.frm2.tum.de/review/20225
Tested-by: JenkinsCodeReview <bjoern_pedersen@frm2.tum.de>
Reviewed-by: Enrico Faulhaber <enrico.faulhaber@frm2.tum.de>
This commit is contained in:
Enrico Faulhaber 2019-03-25 13:52:42 +01:00
parent 7d63643b64
commit 58bae697c9
2 changed files with 94 additions and 1 deletions

View File

@ -181,6 +181,52 @@ class IntRange(DataType):
return self.validate(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=-16777216, maxval=16777216):
self.min = int(minval)
self.max = int(maxval)
self.scale = float(scale)
if self.min > self.max:
raise ValueError(u'Max must be larger then min!')
if not self.scale > 0:
raise ValueError(u'Scale MUST be positive!')
self.as_json = [u'scaled', dict(min=int(round(minval/scale)), max=int(round(maxval/scale)), scale=scale)]
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))
if value > self.max:
raise ValueError(u'%r should be an int between %d and %d' %
(value, self.min, self.max))
return value
except Exception:
raise ValueError(u'Can not validate %r to int' % value)
def __repr__(self):
return u'ScaledInteger(%f, %d, %d)' % (self.scale, self.min, self.max)
def export_value(self, value):
"""returns a python object fit for serialisation"""
# XXX: rounds toward even !!! (i.e. 12.5 -> 12, 13.5 -> 14)
return round(value / self.scale)
def import_value(self, value):
"""returns a python object from serialisation"""
return self.scale * int(value)
def from_string(self, text):
value = int(text)
return self.validate(value)
class EnumType(DataType):
def __init__(self, enum_or_name='', **kwds):
if 'members' in kwds:
@ -591,6 +637,7 @@ class Status(TupleOf):
DATATYPES = dict(
bool =BoolType,
int =lambda min, max: IntRange(minval=min,maxval=max),
scaled =lambda scale, min, max: ScaledInteger(scale=scale,minval=min*scale,maxval=max*scale),
double =lambda min=None, max=None: FloatRange(minval=min, maxval=max),
blob =lambda min=0, max=None: BLOBType(minsize=min, maxsize=max),
string =lambda min=0, max=None: StringType(minsize=min, maxsize=max),

View File

@ -28,7 +28,7 @@ import pytest
from secop.datatypes import ArrayOf, BLOBType, BoolType, \
DataType, EnumType, FloatRange, IntRange, ProgrammingError, \
StringType, StructOf, TupleOf, get_datatype
StringType, StructOf, TupleOf, get_datatype, ScaledInteger
def test_DataType():
@ -87,6 +87,33 @@ def test_IntRange():
assert dt.as_json[1]['min'] < 0 < dt.as_json[1]['max']
def test_ScaledInteger():
dt = ScaledInteger(0.01, -3, 3)
# serialisation of datatype contains limits on the 'integer' value
assert dt.as_json == ['scaled', {'scale':0.01, 'min':-300, 'max':300}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate('XX')
with pytest.raises(ValueError):
dt.validate([19, 'X'])
dt.validate(1)
dt.validate(0)
with pytest.raises(ValueError):
ScaledInteger('xc', '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
def test_EnumType():
# test constructor catching illegal arguments
with pytest.raises(TypeError):
@ -311,6 +338,25 @@ def test_get_datatype():
with pytest.raises(ValueError):
get_datatype(['double', 1, 2])
with pytest.raises(ValueError):
get_datatype(['scaled', {'scale':0.01,'min':-2.718}])
with pytest.raises(ValueError):
get_datatype(['scaled', {'scale':0.02,'max':3.14}])
assert isinstance(get_datatype(['scaled', {'scale':0.03,'min':-99, 'max':111}]), ScaledInteger)
dt = ScaledInteger(scale=0.03, minval=0, maxval=9.9)
assert dt.as_json == ['scaled', {'max':330, 'min':0, 'scale':0.03}]
assert get_datatype(dt.as_json).as_json == dt.as_json
with pytest.raises(ValueError):
get_datatype(['scaled']) # dict missing
with pytest.raises(ValueError):
get_datatype(['scaled', {'min':-10, 'max':10}]) # no scale
with pytest.raises(ValueError):
get_datatype(['scaled', {'min':10, 'max':-10}]) # limits reversed
with pytest.raises(ValueError):
get_datatype(['scaled', {}, 1, 2]) # trailing data
with pytest.raises(ValueError):
get_datatype(['enum'])
with pytest.raises(ValueError):