# -*- coding: utf-8 -*-
# Copyright (c) 2010 Mark Sandstrom
# Copyright (c) 2011-2015 Raphaël Barrois
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
"""Additional declarations for "fuzzy" attribute definitions."""
from __future__ import unicode_literals
import decimal
import random
import string
import datetime
from . import compat
from . import declarations
_random = random.Random()
[docs]def get_random_state():
"""Retrieve the state of factory.fuzzy's random generator."""
return _random.getstate()
[docs]def set_random_state(state):
"""Force-set the state of factory.fuzzy's random generator."""
return _random.setstate(state)
[docs]def reseed_random(seed):
"""Reseed factory.fuzzy's random generator."""
r = random.Random(seed)
set_random_state(r.getstate())
[docs]class BaseFuzzyAttribute(declarations.OrderedDeclaration):
"""Base class for fuzzy attributes.
Custom fuzzers should override the `fuzz()` method.
"""
[docs] def fuzz(self): # pragma: no cover
raise NotImplementedError()
def evaluate(self, sequence, obj, create, extra=None, containers=()):
return self.fuzz()
[docs]class FuzzyAttribute(BaseFuzzyAttribute):
"""Similar to LazyAttribute, but yields random values.
Attributes:
function (callable): function taking no parameters and returning a
random value.
"""
def __init__(self, fuzzer, **kwargs):
super(FuzzyAttribute, self).__init__(**kwargs)
self.fuzzer = fuzzer
def fuzz(self):
return self.fuzzer()
[docs]class FuzzyText(BaseFuzzyAttribute):
"""Random string with a given prefix.
Generates a random string of the given length from chosen chars.
If a prefix or a suffix are supplied, they will be prepended / appended
to the generated string.
Args:
prefix (text): An optional prefix to prepend to the random string
length (int): the length of the random part
suffix (text): An optional suffix to append to the random string
chars (str list): the chars to choose from
Useful for generating unique attributes where the exact value is
not important.
"""
def __init__(self, prefix='', length=12, suffix='',
chars=string.ascii_letters, **kwargs):
super(FuzzyText, self).__init__(**kwargs)
self.prefix = prefix
self.suffix = suffix
self.length = length
self.chars = tuple(chars) # Unroll iterators
def fuzz(self):
chars = [_random.choice(self.chars) for _i in range(self.length)]
return self.prefix + ''.join(chars) + self.suffix
[docs]class FuzzyChoice(BaseFuzzyAttribute):
"""Handles fuzzy choice of an attribute.
Args:
choices (iterable): An iterable yielding options; will only be unrolled
on the first call.
"""
def __init__(self, choices, **kwargs):
self.choices = None
self.choices_generator = choices
super(FuzzyChoice, self).__init__(**kwargs)
def fuzz(self):
if self.choices is None:
self.choices = list(self.choices_generator)
return _random.choice(self.choices)
[docs]class FuzzyInteger(BaseFuzzyAttribute):
"""Random integer within a given range."""
def __init__(self, low, high=None, step=1, **kwargs):
if high is None:
high = low
low = 0
self.low = low
self.high = high
self.step = step
super(FuzzyInteger, self).__init__(**kwargs)
def fuzz(self):
return _random.randrange(self.low, self.high + 1, self.step)
[docs]class FuzzyDecimal(BaseFuzzyAttribute):
"""Random decimal within a given range."""
def __init__(self, low, high=None, precision=2, **kwargs):
if high is None:
high = low
low = 0.0
self.low = low
self.high = high
self.precision = precision
super(FuzzyDecimal, self).__init__(**kwargs)
def fuzz(self):
base = decimal.Decimal(str(_random.uniform(self.low, self.high)))
return base.quantize(decimal.Decimal(10) ** -self.precision)
[docs]class FuzzyFloat(BaseFuzzyAttribute):
"""Random float within a given range."""
def __init__(self, low, high=None, **kwargs):
if high is None:
high = low
low = 0
self.low = low
self.high = high
super(FuzzyFloat, self).__init__(**kwargs)
def fuzz(self):
return _random.uniform(self.low, self.high)
[docs]class FuzzyDate(BaseFuzzyAttribute):
"""Random date within a given date range."""
def __init__(self, start_date, end_date=None, **kwargs):
super(FuzzyDate, self).__init__(**kwargs)
if end_date is None:
end_date = datetime.date.today()
if start_date > end_date:
raise ValueError(
"FuzzyDate boundaries should have start <= end; got %r > %r."
% (start_date, end_date))
self.start_date = start_date.toordinal()
self.end_date = end_date.toordinal()
def fuzz(self):
return datetime.date.fromordinal(_random.randint(self.start_date, self.end_date))
class BaseFuzzyDateTime(BaseFuzzyAttribute):
"""Base class for fuzzy datetime-related attributes.
Provides fuzz() computation, forcing year/month/day/hour/...
"""
def _check_bounds(self, start_dt, end_dt):
if start_dt > end_dt:
raise ValueError(
"""%s boundaries should have start <= end, got %r > %r""" % (
self.__class__.__name__, start_dt, end_dt))
def __init__(self, start_dt, end_dt=None,
force_year=None, force_month=None, force_day=None,
force_hour=None, force_minute=None, force_second=None,
force_microsecond=None, **kwargs):
super(BaseFuzzyDateTime, self).__init__(**kwargs)
if end_dt is None:
end_dt = self._now()
self._check_bounds(start_dt, end_dt)
self.start_dt = start_dt
self.end_dt = end_dt
self.force_year = force_year
self.force_month = force_month
self.force_day = force_day
self.force_hour = force_hour
self.force_minute = force_minute
self.force_second = force_second
self.force_microsecond = force_microsecond
def fuzz(self):
delta = self.end_dt - self.start_dt
microseconds = delta.microseconds + 1000000 * (delta.seconds + (delta.days * 86400))
offset = _random.randint(0, microseconds)
result = self.start_dt + datetime.timedelta(microseconds=offset)
if self.force_year is not None:
result = result.replace(year=self.force_year)
if self.force_month is not None:
result = result.replace(month=self.force_month)
if self.force_day is not None:
result = result.replace(day=self.force_day)
if self.force_hour is not None:
result = result.replace(hour=self.force_hour)
if self.force_minute is not None:
result = result.replace(minute=self.force_minute)
if self.force_second is not None:
result = result.replace(second=self.force_second)
if self.force_microsecond is not None:
result = result.replace(microsecond=self.force_microsecond)
return result
[docs]class FuzzyNaiveDateTime(BaseFuzzyDateTime):
"""Random naive datetime within a given range.
If no upper bound is given, will default to datetime.datetime.utcnow().
"""
def _now(self):
return datetime.datetime.now()
def _check_bounds(self, start_dt, end_dt):
if start_dt.tzinfo is not None:
raise ValueError(
"FuzzyNaiveDateTime only handles naive datetimes, got start=%r"
% start_dt)
if end_dt.tzinfo is not None:
raise ValueError(
"FuzzyNaiveDateTime only handles naive datetimes, got end=%r"
% end_dt)
super(FuzzyNaiveDateTime, self)._check_bounds(start_dt, end_dt)
[docs]class FuzzyDateTime(BaseFuzzyDateTime):
"""Random timezone-aware datetime within a given range.
If no upper bound is given, will default to datetime.datetime.now()
If no timezone is given, will default to utc.
"""
def _now(self):
return datetime.datetime.now(tz=compat.UTC)
def _check_bounds(self, start_dt, end_dt):
if start_dt.tzinfo is None:
raise ValueError(
"FuzzyDateTime requires timezone-aware datetimes, got start=%r"
% start_dt)
if end_dt.tzinfo is None:
raise ValueError(
"FuzzyDateTime requires timezone-aware datetimes, got end=%r"
% end_dt)
super(FuzzyDateTime, self)._check_bounds(start_dt, end_dt)