def get_ab_test_properties(user):
return {
"a_b_test_variable_1": "A" if deterministic_random(user.username + "a_b_test_variable_1") > 0.5 else "B",
"a_b_test_variable_first_submission": "A"
if deterministic_random(user.username + "a_b_test_variable_first_submission") > 0.5
else "B",
}
def get_ab_test_properties(user):
return {
'a_b_test_variable_1':
'A' if deterministic_random(user.username + 'a_b_test_variable_1') > 0.5 else 'B',
'a_b_test_variable_first_submission':
'A' if deterministic_random(user.username + 'a_b_test_variable_first_submission') > 0.5 else 'B',
}
def get_ab_test_properties(user):
return {
'a_b_test_variable_1':
'A' if deterministic_random(user.username + 'a_b_test_variable_1') > 0.5 else 'B',
'a_b_test_variable_first_submission':
'A' if deterministic_random(user.username + 'a_b_test_variable_first_submission') > 0.5 else 'B',
}
def test_consistency(self):
seen = set()
for seed in self._random_strings(100):
converted_rand = deterministic_random(seed)
self.assertTrue(0 <= converted_rand < 1)
self.assertEqual(converted_rand, deterministic_random(seed))
self.assertTrue(converted_rand not in seen)
seen.add(converted_rand)
def test_consistency(self):
seen = set()
for seed in self._random_strings(100):
converted_rand = deterministic_random(seed)
self.assertTrue(0 <= converted_rand < 1)
self.assertEqual(converted_rand, deterministic_random(seed))
self.assertTrue(converted_rand not in seen)
seen.add(converted_rand)
def track_clicked_deploy_on_hubspot(webuser_id, hubspot_cookie, meta):
webuser = WebUser.get_by_user_id(webuser_id)
num = deterministic_random(webuser.username + 'a_b_variable_deploy')
ab = {'a_b_variable_deploy': 'A' if num > 0.5 else 'B'}
_send_form_to_hubspot(HUBSPOT_CLICKED_DEPLOY_FORM_ID,
webuser,
hubspot_cookie,
meta,
extra_fields=ab)
def track_clicked_signup_on_hubspot(email, cookies, meta):
data = {"lifecyclestage": "subscriber"}
number = deterministic_random(email + "a_b_test_variable_newsletter")
if number < 0.33:
data["a_b_test_variable_newsletter"] = "A"
elif number < 0.67:
data["a_b_test_variable_newsletter"] = "B"
else:
data["a_b_test_variable_newsletter"] = "C"
if email:
_send_form_to_hubspot(HUBSPOT_CLICKED_SIGNUP_FORM, None, cookies, meta, extra_fields=data, email=email)
def track_clicked_signup_on_hubspot(email, cookies, meta):
data = {'lifecyclestage': 'subscriber'}
number = deterministic_random(email + 'a_b_test_variable_newsletter')
if number < 0.33:
data['a_b_test_variable_newsletter'] = 'A'
elif number < 0.67:
data['a_b_test_variable_newsletter'] = 'B'
else:
data['a_b_test_variable_newsletter'] = 'C'
if email:
_send_form_to_hubspot(HUBSPOT_CLICKED_SIGNUP_FORM, None, cookies, meta, extra_fields=data, email=email)
def track_clicked_deploy_on_hubspot(webuser, cookies, meta):
ab = {
'a_b_variable_deploy':
'A' if deterministic_random(webuser.username +
'a_b_variable_deploy') > 0.5 else 'B',
}
_send_form_to_hubspot(HUBSPOT_CLICKED_DEPLOY_FORM_ID,
webuser,
cookies,
meta,
extra_fields=ab)
def track_clicked_signup_on_hubspot(email, cookies, meta):
data = {'lifecyclestage': 'subscriber'}
number = deterministic_random(email + 'a_b_test_variable_newsletter')
if number < 0.33:
data['a_b_test_variable_newsletter'] = 'A'
elif number < 0.67:
data['a_b_test_variable_newsletter'] = 'B'
else:
data['a_b_test_variable_newsletter'] = 'C'
if email:
_send_form_to_hubspot(HUBSPOT_CLICKED_SIGNUP_FORM, None, cookies, meta, extra_fields=data, email=email)
def test_randomness(self):
buckets = defaultdict(lambda: 0)
for i in range(10000):
# use similar looking strings to make sure randomness is in the called function.
# note that this also makes this (statistically-determined) test deterministic which is nice
seed = 'test-string-{}'.format(i)
converted_rand = deterministic_random(seed)
self.assertTrue(0 <= converted_rand < 1)
first_decimal = int("{:.1f}".format(converted_rand)[-1])
buckets[first_decimal] += 1
self.assertEqual(10, len(buckets))
for i in range(10):
# we expect about 1000 in each bucket and the sample is big enough that
# these constraints are fine.
self.assertTrue(900 < buckets[i] < 1100)
def test_randomness(self):
buckets = defaultdict(lambda: 0)
for i in range(10000):
# use similar looking strings to make sure randomness is in the called function.
# note that this also makes this (statistically-determined) test deterministic which is nice
seed = 'test-string-{}'.format(i)
converted_rand = deterministic_random(seed)
self.assertTrue(0 <= converted_rand < 1)
first_decimal = int("{:.1f}".format(converted_rand)[-1])
buckets[first_decimal] += 1
self.assertEqual(10, len(buckets))
for i in range(10):
# we expect about 1000 in each bucket and the sample is big enough that
# these constraints are fine.
self.assertTrue(900 < buckets[i] < 1100)
def test_unicode(self):
unicode_string = u'टूटना{}'.format(self._random_string())
value = deterministic_random(unicode_string)
self.assertEqual(value, deterministic_random(unicode_string))
def test_unicode(self):
unicode_string = 'टूटना{}'.format(self._random_string())
value = deterministic_random(unicode_string)
self.assertEqual(value, deterministic_random(unicode_string))
def track_clicked_deploy_on_hubspot(webuser, cookies, meta):
ab = {
'a_b_variable_deploy': 'A' if deterministic_random(webuser.username + 'a_b_variable_deploy') > 0.5 else 'B',
}
_send_form_to_hubspot(HUBSPOT_CLICKED_DEPLOY_FORM_ID, webuser, cookies, meta, extra_fields=ab)
def test_deterministic(self):
self.assertEqual(
deterministic_random("[None, 'domain']:test_toggle:diana"),
0.5358778226236243
)
def test_deterministic(self):
self.assertEqual(
deterministic_random("[None, 'domain']:test_toggle:diana"),
0.5358778226236243)
