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from datetime import datetime, timezone
class TestEligibility:
def test_evaluate_task_criteria(self):
from generalresearch.models.dynata.survey import (
DynataQuotaGroup,
DynataFilterGroup,
DynataSurvey,
DynataRequirements,
)
filters = [[["a", "b"], ["c", "d"]], [["e"], ["f"]]]
filters = [DynataFilterGroup.model_validate(f) for f in filters]
criteria_evaluation = {
"a": True,
"b": True,
"c": True,
"d": False,
"e": True,
"f": True,
}
quotas = [
DynataQuotaGroup.model_validate(
[{"count": 100, "condition_hashes": [], "status": "OPEN"}]
)
]
task = DynataSurvey.model_validate(
{
"survey_id": "1",
"filters": filters,
"quotas": quotas,
"allowed_devices": set("1"),
"calculation_type": "COMPLETES",
"client_id": "",
"country_iso": "us",
"language_iso": "eng",
"group_id": "g1",
"project_id": "p1",
"status": "OPEN",
"project_exclusions": set(),
"created": datetime.now(tz=timezone.utc),
"category_exclusions": set(),
"category_ids": set(),
"cpi": 1,
"days_in_field": 0,
"expected_count": 0,
"order_number": "",
"live_link": "",
"bid_ir": 0.5,
"bid_loi": 500,
"requirements": DynataRequirements(),
}
)
assert task.determine_eligibility(criteria_evaluation)
# task status
task.status = "CLOSED"
assert not task.determine_eligibility(criteria_evaluation)
task.status = "OPEN"
# one quota with no space left (count = 0)
quotas = [
DynataQuotaGroup.model_validate(
[{"count": 0, "condition_hashes": [], "status": "OPEN"}]
)
]
task.quotas = quotas
assert not task.determine_eligibility(criteria_evaluation)
# we pass 'a' and 'b'
quotas = [
DynataQuotaGroup.model_validate(
[{"count": 100, "condition_hashes": ["a", "b"], "status": "OPEN"}]
)
]
task.quotas = quotas
assert task.determine_eligibility(criteria_evaluation)
# make 'f' false, we still pass the 2nd filtergroup b/c 'e' is True
criteria_evaluation = {
"a": True,
"b": True,
"c": True,
"d": False,
"e": True,
"f": False,
}
assert task.determine_eligibility(criteria_evaluation)
# make 'e' false, we don't pass the 2nd filtergroup
criteria_evaluation = {
"a": True,
"b": True,
"c": True,
"d": False,
"e": False,
"f": False,
}
assert not task.determine_eligibility(criteria_evaluation)
# We fail quota 'c','d', but we pass 'a','b', so we pass the first quota group
criteria_evaluation = {
"a": True,
"b": True,
"c": True,
"d": False,
"e": True,
"f": True,
}
quotas = [
DynataQuotaGroup.model_validate(
[
{"count": 100, "condition_hashes": ["a", "b"], "status": "OPEN"},
{"count": 100, "condition_hashes": ["c", "d"], "status": "CLOSED"},
]
)
]
task.quotas = quotas
assert task.determine_eligibility(criteria_evaluation)
# we pass the first qg, but then fall into a full 2nd qg
quotas = [
DynataQuotaGroup.model_validate(
[
{"count": 100, "condition_hashes": ["a", "b"], "status": "OPEN"},
{"count": 100, "condition_hashes": ["c", "d"], "status": "CLOSED"},
]
),
DynataQuotaGroup.model_validate(
[{"count": 100, "condition_hashes": ["f"], "status": "CLOSED"}]
),
]
task.quotas = quotas
assert not task.determine_eligibility(criteria_evaluation)
def test_soft_pair(self):
from generalresearch.models.dynata.survey import (
DynataQuotaGroup,
DynataFilterGroup,
DynataSurvey,
DynataRequirements,
)
filters = [[["a", "b"], ["c", "d"]], [["e"], ["f"]]]
filters = [DynataFilterGroup.model_validate(f) for f in filters]
criteria_evaluation = {
"a": True,
"b": True,
"c": True,
"d": False,
"e": True,
"f": True,
}
quotas = [
DynataQuotaGroup.model_validate(
[{"count": 100, "condition_hashes": [], "status": "OPEN"}]
)
]
task = DynataSurvey.model_validate(
{
"survey_id": "1",
"filters": filters,
"quotas": quotas,
"allowed_devices": set("1"),
"calculation_type": "COMPLETES",
"client_id": "",
"country_iso": "us",
"language_iso": "eng",
"group_id": "g1",
"project_id": "p1",
"status": "OPEN",
"project_exclusions": set(),
"created": datetime.now(tz=timezone.utc),
"category_exclusions": set(),
"category_ids": set(),
"cpi": 1,
"days_in_field": 0,
"expected_count": 0,
"order_number": "",
"live_link": "",
"bid_ir": 0.5,
"bid_loi": 500,
"requirements": DynataRequirements(),
}
)
assert task.passes_filters(criteria_evaluation)
passes, condition_hashes = task.passes_filters_soft(criteria_evaluation)
assert passes
# make 'e' & 'f' None, we don't pass the 2nd filtergroup
criteria_evaluation = {
"a": True,
"b": True,
"c": True,
"d": False,
"e": None,
"f": None,
}
assert not task.passes_filters(criteria_evaluation)
passes, conditional_hashes = task.passes_filters_soft(criteria_evaluation)
assert passes is None
assert {"e", "f"} == conditional_hashes
# 1st filtergroup unknown
criteria_evaluation = {
"a": True,
"b": None,
"c": None,
"d": None,
"e": None,
"f": None,
}
assert not task.passes_filters(criteria_evaluation)
passes, conditional_hashes = task.passes_filters_soft(criteria_evaluation)
assert passes is None
assert {"b", "c", "d", "e", "f"} == conditional_hashes
# 1st filtergroup unknown, 2nd cell False
criteria_evaluation = {
"a": True,
"b": None,
"c": None,
"d": False,
"e": None,
"f": None,
}
assert not task.passes_filters(criteria_evaluation)
passes, conditional_hashes = task.passes_filters_soft(criteria_evaluation)
assert passes is None
assert {"b", "e", "f"} == conditional_hashes
# we pass the first qg, unknown 2nd
criteria_evaluation = {
"a": True,
"b": True,
"c": None,
"d": False,
"e": None,
"f": None,
}
quotas = [
DynataQuotaGroup.model_validate(
[
{"count": 100, "condition_hashes": ["a", "b"], "status": "OPEN"},
{"count": 100, "condition_hashes": ["c", "d"], "status": "CLOSED"},
]
),
DynataQuotaGroup.model_validate(
[{"count": 100, "condition_hashes": ["f"], "status": "OPEN"}]
),
]
task.quotas = quotas
passes, conditional_hashes = task.passes_quotas_soft(criteria_evaluation)
assert passes is None
assert {"f"} == conditional_hashes
# both quota groups unknown
criteria_evaluation = {
"a": True,
"b": None,
"c": None,
"d": False,
"e": None,
"g": None,
}
quotas = [
DynataQuotaGroup.model_validate(
[
{"count": 100, "condition_hashes": ["a", "b"], "status": "OPEN"},
{"count": 100, "condition_hashes": ["c", "d"], "status": "CLOSED"},
]
),
DynataQuotaGroup.model_validate(
[{"count": 100, "condition_hashes": ["g"], "status": "OPEN"}]
),
]
task.quotas = quotas
passes, conditional_hashes = task.passes_quotas_soft(criteria_evaluation)
assert passes is None
assert {"b", "g"} == conditional_hashes
passes, conditional_hashes = task.determine_eligibility_soft(
criteria_evaluation
)
assert passes is None
assert {"b", "e", "f", "g"} == conditional_hashes
# def x(self):
# # ----
# c1 = DynataCondition(question_id='gender', values=['male'], value_type=ConditionValueType.LIST) # 718f759
# c2 = DynataCondition(question_id='age', values=['18-24'], value_type=ConditionValueType.RANGE) # 7a7b290
# obj1 = DynataFilterObject(cells=[c1.criterion_hash, c2.criterion_hash])
#
# c3 = DynataCondition(question_id='gender', values=['female'], value_type=ConditionValueType.LIST) # 38fa4e1
# c4 = DynataCondition(question_id='age', values=['35-45'], value_type=ConditionValueType.RANGE) # e4f06fa
# obj2 = DynataFilterObject(cells=[c3.criterion_hash, c4.criterion_hash])
#
# grp1 = DynataFilterGroup(objects=[obj1, obj2])
#
# # -----
# c5 = DynataCondition(question_id='ethnicity', values=['white'], value_type=ConditionValueType.LIST) # eb9b9a4
# obj3 = DynataFilterObject(cells=[c5.criterion_hash])
#
# c6 = DynataCondition(question_id='ethnicity', values=['black'], value_type=ConditionValueType.LIST) # 039fe2d
# obj4 = DynataFilterObject(cells=[c6.criterion_hash])
#
# grp2 = DynataFilterGroup(objects=[obj3, obj4])
# # -----
# q1 = DynataQuota(count=5, status=DynataStatus.OPEN,
# condition_hashes=[c1.criterion_hash, c2.criterion_hash])
# q2 = DynataQuota(count=10, status=DynataStatus.CLOSED,
# condition_hashes=[c3.criterion_hash, c4.criterion_hash])
# qg1 = DynataQuotaGroup(cells=[q1, q2])
# # ----
#
# s = DynataSurvey(survey_id='123', status=DynataStatus.OPEN, country_iso='us',
# language_iso='eng', group_id='123', client_id='123', project_id='12',
# filters=[grp1, grp2],
# quotas=[qg1])
# ce = {'718f759': True, '7a7b290': True, 'eb9b9a4': True}
# s.passes_filters(ce)
# s.passes_quotas(ce)
|
