replace validators with datatypes

Change-Id: I446c4e14e24afa3f65e79c8b6e07eec3271532b0
This commit is contained in:
Enrico Faulhaber
2017-07-03 15:15:46 +02:00
parent a87e568b55
commit bc3253a01a
11 changed files with 233 additions and 438 deletions

View File

@ -21,14 +21,6 @@
# *****************************************************************************
"""Define validated data types."""
# a Validator returns a validated object or raises an ValueError
# also validators should have a __repr__ returning a 'python' string
# which recreates them
# if a validator does a mapping, it normally maps to the
# internal representation with method :meth:`validate`
# to get the external representation (aöso for logging),
# call method :meth:`export`
from .errors import ProgrammingError
@ -56,10 +48,10 @@ class FloatRange(DataType):
"""Restricted float type"""
def __init__(self, min=None, max=None):
self.min = float('-Inf') if min is None else float(min)
self.max = float('+Inf') if max is None else float(max)
self.min = None if min is None else float(min)
self.max = None if max is None else float(max)
# note: as we may compare to Inf all comparisons would be false
if self.min <= self.max:
if (self.min or float('-inf')) <= (self.max or float('+inf')):
self.as_json = ['double', min, max]
else:
raise ValueError('Max must be larger then min!')
@ -67,15 +59,25 @@ class FloatRange(DataType):
def validate(self, value):
try:
value = float(value)
if self.min <= value <= self.max:
return value
raise ValueError('%r should be an float between %.3f and %.3f' %
(value, self.min, self.max))
except:
raise ValueError('Can not validate %r to float' % value)
if self.min is not None and value < self.min:
raise ValueError('%r should not be less then %s' % (value, self.min))
if self.max is not None and value > self.max:
raise ValueError('%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('%r should be an float between %.3f and %.3f' %
(value, self.min, self.max))
def __repr__(self):
return "FloatRange(%f, %f)" % (self.min, self.max)
if self.max != None:
return "FloatRange(%r, %r)" % (float('-inf') if self.min is None else self.min, self.max)
if self.min != None:
return "FloatRange(%r)" % self.min
return "FloatRange()"
def export(self, value):
"""returns a python object fit for serialisation"""
@ -105,7 +107,11 @@ class IntRange(DataType):
raise ValueError('Can not validate %r to int' % value)
def __repr__(self):
return "IntRange(%d, %d)" % (self.min, self.max)
if self.max is not None:
return "IntRange(%d, %d)" % (self.min, self.max)
if self.min is not None:
return "IntRange(%d)" % self.min
return "IntRange(%d)" % self.min
def export(self, value):
"""returns a python object fit for serialisation"""
@ -119,7 +125,8 @@ class EnumType(DataType):
self.entries = {}
num = 0
for arg in args:
if type(args) != str:
if type(arg) != str:
print arg, type(arg)
raise ValueError('EnumType entries MUST be strings!')
self.entries[num] = arg
num += 1
@ -138,7 +145,7 @@ class EnumType(DataType):
self.as_json = ['enum', self.reversed.copy()]
def __repr__(self):
return "EnumType(%s)" % ', '.join(['%r=%d' % (v,k) for k,v in self.entries.items()])
return "EnumType(%s)" % ', '.join(['%s=%d' % (v,k) for k,v in self.entries.items()])
def export(self, value):
"""returns a python object fit for serialisation"""
@ -169,8 +176,10 @@ class BLOBType(DataType):
raise ValueError('maxsize must be bigger than minsize!')
def __repr__(self):
if self.minsize or self.maxsize:
return 'BLOB(%d, %s)' % (self.minsize, self.maxsize)
if self.maxsize:
return 'BLOB(%s, %s)' % (str(self.minsize), str(self.maxsize))
if self.minsize:
return 'BLOB(%d)' % self.minsize
return 'BLOB()'
def validate(self, value):
@ -203,7 +212,11 @@ class StringType(DataType):
raise ValueError('maxsize must be bigger than minsize!')
def __repr__(self):
return 'StringType(%d, %s)' % (self.minsize, self.maxsize)
if self.maxsize:
return 'StringType(%s, %s)' % (str(self.minsize), str(self.maxsize))
if self.minsize:
return 'StringType(%d)' % str(self.minsize)
return 'StringType()'
def validate(self, value):
"""return the validated (internal) value or raise"""
@ -223,6 +236,7 @@ class StringType(DataType):
"""returns a python object fit for serialisation"""
return '%s' % value
# Bool is a special enum
class BoolType(DataType):
as_json = ['bool']
@ -265,6 +279,9 @@ class ArrayOf(DataType):
if self.minsize is not None and self.maxsize is not None and self.minsize > self.maxsize:
raise ValueError('Maximum size must be >= Minimum size')
def __repr__(self):
return 'ArrayOf(%s, %s, %s)' % (repr(self.subtype), self.minsize, self.maxsize)
def validate(self, value):
"""validate a external representation to an internal one"""
if isinstance(value, (tuple, list)):
@ -292,6 +309,9 @@ class TupleOf(DataType):
self.subtypes = subtypes
self.as_json = ['tuple', [subtype.as_json for subtype in subtypes]]
def __repr__(self):
return 'TupleOf(%s)' % ', '.join([repr(st) for st in self.subtypes])
def validate(self, value):
"""return the validated value or raise"""
# keep the ordering!
@ -320,6 +340,9 @@ class StructOf(DataType):
self.named_subtypes = named_subtypes
self.as_json = ['struct', dict((n,s.as_json) for n,s in named_subtypes.items())]
def __repr__(self):
return 'StructOf(%s)' % ', '.join(['%s=%s'%(n,repr(st)) for n,st in self.named_subtypes.iteritems()])
def validate(self, value):
"""return the validated value or raise"""
try:
@ -358,10 +381,14 @@ DATATYPES = dict(
# probably not needed...
def export_datatype(datatype):
if datatype is None:
return datatype
return datatype.as_json
# important for getting the right datatype from formerly jsonified descr.
def get_datatype(json):
if json is None:
return json
if not isinstance(json, list):
raise ValueError('Argument must be a properly formatted list!')
if len(json)<1: