def test_tip_filter(self):
tip1 = {"isPersonalized": True}
optin = False
showTip = tip_filter(tip1, UserDataTree({}), optin)
self.assertEqual(showTip, False)
tip1 = {"isPersonalized": False, "active": True}
showTip = tip_filter(tip1, UserDataTree({}), False)
self.assertEqual(showTip, True)
optin = True
tip1 = {"isPersonalized": True, "active": False}
showTip = tip_filter(tip1, UserDataTree({}), optin)
self.assertEqual(showTip, False)
optin = True
tip1 = {"isPersonalized": True, "active": True}
showTip = tip_filter(tip1, UserDataTree({}), optin)
self.assertEqual(showTip, True)
def test_heeft_kinderen(self):
fixture = self._get_tips_request_data()
user_data = UserDataTree(fixture["user_data"])
rules = [{"type": "ref", "ref_id": "4"}]
self.assertTrue(apply_rules(user_data, rules, compound_rules))
fixture["user_data"]["BRP"]["kinderen"] = []
user_data = UserDataTree(fixture["user_data"])
self.assertFalse(apply_rules(user_data, rules, compound_rules))
def test_woont_in_gemeente_Amsterdam(self):
fixture = self._get_tips_request_data()
user_data = UserDataTree(fixture["user_data"])
rules = [{"type": "ref", "ref_id": "3"}]
self.assertTrue(apply_rules(user_data, rules, compound_rules))
fixture["user_data"]["BRP"]["persoon"]["mokum"] = True
user_data = UserDataTree(fixture["user_data"])
self.assertTrue(apply_rules(user_data, rules, compound_rules))
fixture["user_data"]["BRP"]["persoon"]["mokum"] = False
user_data = UserDataTree(fixture["user_data"])
self.assertFalse(apply_rules(user_data, rules, compound_rules))
def test_stadspas(self):
# Stadspas rule
rules = [{"type": "ref", "ref_id": "1"}]
def is_valid(stadspas):
user_data = UserDataTree({"FOCUS_AANVRAGEN": [stadspas]})
return apply_rules(user_data, rules, compound_rules)
# Use invalid date
invalid_date = get_date_years_ago(2)
stadspas = {
"productTitle": "Stadspas",
"steps": [{
"datePublished": invalid_date,
"decision": "toekenning"
}],
}
self.assertFalse(is_valid(stadspas))
# Use valid date
valid_date = get_date_years_ago(1)
stadspas = {
"productTitle": "Stadspas",
"steps": [{
"datePublished": valid_date,
"decision": "toekenning"
}],
}
self.assertTrue(is_valid(stadspas))
# Use invalid decision
stadspas = {
"productTitle": "Stadspas",
"steps": [{
"datePublished": valid_date,
"decision": "afwijzing"
}],
}
self.assertFalse(is_valid(stadspas))
# Use invalid productTitle
stadspas = {
"productTitle": "Bijstandsuitkering",
"steps": [{
"datePublished": valid_date,
"decision": "toekenning"
}],
}
self.assertFalse(is_valid(stadspas))
# regression test for when there is no stadspas data or malformed stadspas data
self.assertFalse(is_valid(None))
self.assertFalse(is_valid({"steps": ["hy"]}))
user_data = UserDataTree({"bliep": None})
is_valid_data = apply_rules(user_data, rules, compound_rules)
self.assertFalse(is_valid_data)
def tips_generator(request_data=None, tips=None, audience: List[str] = None):
"""Generate tips."""
if request_data is None:
request_data = {}
if tips is None:
tips = tips_pool
# add source tips
if request_data["source_tips"]:
tips = tips + format_source_tips(request_data["source_tips"])
tips = [normalize_tip_personalization(tip) for tip in tips]
if request_data["optin"]:
user_data_prepared = UserDataTree(request_data["user_data"])
else:
user_data_prepared = UserDataTree({})
for tip in tips:
enrich_tip(tip)
if audience:
tips = [
tip for tip in tips
if set(tip.get("audience", [])).intersection(set(audience))
]
tips = [
tip for tip in tips
if tip_filter(tip, user_data_prepared, request_data["optin"])
]
tips = [normalize_tip_output(tip) for tip in tips]
tips.sort(key=lambda t: t["priority"], reverse=True)
return tips
def test_stadspas(self):
# Stadspas rule
rules = [{"type": "ref", "ref_id": "1"}]
def is_valid(stadspas):
user_data = UserDataTree({"WPI_STADSPAS": {"aanvragen": [stadspas]}})
return apply_rules(user_data, rules, compound_rules)
# Use invalid date
invalid_date = get_date_years_ago(2)
stadspas = {
"about": "Stadspas",
"decision": "toekenning",
"datePublished": invalid_date,
}
self.assertFalse(is_valid(stadspas))
# Use valid date
valid_date = get_date_years_ago(1)
stadspas = {
"about": "Stadspas",
"datePublished": valid_date,
"decision": "toekenning",
}
self.assertTrue(is_valid(stadspas))
# Use invalid decision
stadspas = {
"about": "Stadspas",
"datePublished": valid_date,
"decision": "afwijzing",
}
self.assertFalse(is_valid(stadspas))
# regression test for when there is no stadspas data or malformed stadspas data
self.assertFalse(is_valid(None))
self.assertFalse(is_valid({"steps": ["hy"]}))
user_data = UserDataTree({"bliep": None})
is_valid_data = apply_rules(user_data, rules, compound_rules)
self.assertFalse(is_valid_data)
def is_valid(stadspas):
user_data = UserDataTree({"FOCUS_AANVRAGEN": [stadspas]})
return apply_rules(user_data, rules, compound_rules)
def get_result():
user_data = UserDataTree(fixture["user_data"])
return apply_rules(user_data, rules, compound_rules)
def is_valid(stadspas):
user_data = UserDataTree({"WPI_STADSPAS": {"aanvragen": [stadspas]}})
return apply_rules(user_data, rules, compound_rules)