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|
from collections import Counter
from uuid import uuid4
import pytest
from pytest import approx
from generalresearch.currency import USDCent
from generalresearch.models.thl.contest import (
ContestPrize,
ContestEndCondition,
)
from generalresearch.models.thl.contest.contest_entry import ContestEntry
from generalresearch.models.thl.contest.definitions import (
ContestEntryType,
ContestPrizeKind,
ContestType,
ContestStatus,
ContestEndReason,
)
from generalresearch.models.thl.contest.raffle import RaffleContest
from tests.models.thl.test_contest.test_contest import TestContest
class TestRaffleContest(TestContest):
@pytest.fixture(scope="function")
def raffle_contest(self, product) -> RaffleContest:
return RaffleContest(
product_id=product.uuid,
name=f"Raffle Contest {uuid4().hex}",
contest_type=ContestType.RAFFLE,
entry_type=ContestEntryType.CASH,
prizes=[
ContestPrize(
name="iPod 64GB White",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
)
],
end_condition=ContestEndCondition(target_entry_amount=100),
)
@pytest.fixture(scope="function")
def ended_raffle_contest(self, raffle_contest, utc_now) -> RaffleContest:
# Fake ending the contest
raffle_contest = raffle_contest.model_copy()
raffle_contest.update(
status=ContestStatus.COMPLETED,
ended_at=utc_now,
end_reason=ContestEndReason.ENDS_AT,
)
return raffle_contest
class TestRaffleContestUserView(TestRaffleContest):
def test_user_view(self, raffle_contest, user):
from generalresearch.models.thl.contest.raffle import RaffleUserView
data = {
"current_amount": USDCent(1_00),
"product_user_id": user.product_user_id,
"user_amount": USDCent(1),
"user_amount_today": USDCent(1),
}
r = RaffleUserView.model_validate(raffle_contest.model_dump() | data)
res = r.model_dump(mode="json")
assert res["product_user_id"] == user.product_user_id
assert res["user_amount_today"] == 1
assert res["current_win_probability"] == approx(0.01, rel=0.000001)
assert res["projected_win_probability"] == approx(0.01, rel=0.000001)
# Now change the amount
r.current_amount = USDCent(1_01)
res = r.model_dump(mode="json")
assert res["current_win_probability"] == approx(0.0099, rel=0.001)
assert res["projected_win_probability"] == approx(0.0099, rel=0.001)
def test_win_pct(self, raffle_contest, user):
from generalresearch.models.thl.contest.raffle import RaffleUserView
data = {
"current_amount": USDCent(10),
"product_user_id": user.product_user_id,
"user_amount": USDCent(1),
"user_amount_today": USDCent(1),
}
r = RaffleUserView.model_validate(raffle_contest.model_dump() | data)
r.prizes = [
ContestPrize(
name="iPod 64GB White",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
ContestPrize(
name="iPod 64GB White",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
]
# Raffle has 10 entries, user has 1 entry.
# There are 2 prizes.
assert r.current_win_probability == approx(expected=0.2, rel=0.01)
# He can only possibly win 1 prize
assert r.current_prize_count_probability[1] == approx(expected=0.2, rel=0.01)
# He has a 0 prob of winning 2 prizes
assert r.current_prize_count_probability[2] == 0
# Contest end when there are 100 entries, so 1/100 * 2 prizes
assert r.projected_win_probability == approx(expected=0.02, rel=0.01)
# Change to user having 2 entries (out of 10)
# Still with 2 prizes
r.user_amount = USDCent(2)
assert r.current_win_probability == approx(expected=0.3777, rel=0.01)
# 2/10 chance of winning 1st, 8/9 change of not winning 2nd, plus the
# same in the other order
p = (2 / 10) * (8 / 9) * 2 # 0.355555
assert r.current_prize_count_probability[1] == approx(p, rel=0.01)
p = (2 / 10) * (1 / 9) # 0.02222
assert r.current_prize_count_probability[2] == approx(p, rel=0.01)
class TestRaffleContestWinners(TestRaffleContest):
def test_winners_1_prize(self, ended_raffle_contest, user_1, user_2, user_3):
ended_raffle_contest.entries = [
ContestEntry(
user=user_1,
amount=USDCent(1),
entry_type=ContestEntryType.CASH,
),
ContestEntry(
user=user_2,
amount=USDCent(2),
entry_type=ContestEntryType.CASH,
),
ContestEntry(
user=user_3,
amount=USDCent(3),
entry_type=ContestEntryType.CASH,
),
]
# There is 1 prize. If we select a winner 1000 times, we'd expect user 1
# to win ~ 1/6th of the time, user 2 ~2/6th and 3 3/6th.
winners = ended_raffle_contest.select_winners()
assert len(winners) == 1
c = Counter(
[
ended_raffle_contest.select_winners()[0].user.user_id
for _ in range(10000)
]
)
assert c[user_1.user_id] == approx(
10000 * 1 / 6, rel=0.1
) # 10% relative tolerance
assert c[user_2.user_id] == approx(10000 * 2 / 6, rel=0.1)
assert c[user_3.user_id] == approx(10000 * 3 / 6, rel=0.1)
def test_winners_2_prizes(self, ended_raffle_contest, user_1, user_2, user_3):
ended_raffle_contest.prizes.append(
ContestPrize(
name="iPod 64GB Black",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
)
)
ended_raffle_contest.entries = [
ContestEntry(
user=user_3,
amount=USDCent(1),
entry_type=ContestEntryType.CASH,
),
ContestEntry(
user=user_1,
amount=USDCent(9999999),
entry_type=ContestEntryType.CASH,
),
ContestEntry(
user=user_2,
amount=USDCent(1),
entry_type=ContestEntryType.CASH,
),
]
# In this scenario, user 1 should win both prizes
winners = ended_raffle_contest.select_winners()
assert len(winners) == 2
# Two different prizes
assert len({w.prize.name for w in winners}) == 2
# Same user
assert all(w.user.user_id == user_1.user_id for w in winners)
def test_winners_2_prizes_1_entry(self, ended_raffle_contest, user_3):
ended_raffle_contest.prizes = [
ContestPrize(
name="iPod 64GB White",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
ContestPrize(
name="iPod 64GB Black",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
]
ended_raffle_contest.entries = [
ContestEntry(
user=user_3,
amount=USDCent(1),
entry_type=ContestEntryType.CASH,
),
]
# One prize goes unclaimed
winners = ended_raffle_contest.select_winners()
assert len(winners) == 1
def test_winners_2_prizes_1_entry_2_pennies(self, ended_raffle_contest, user_3):
ended_raffle_contest.prizes = [
ContestPrize(
name="iPod 64GB White",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
ContestPrize(
name="iPod 64GB Black",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
]
ended_raffle_contest.entries = [
ContestEntry(
user=user_3,
amount=USDCent(2),
entry_type=ContestEntryType.CASH,
),
]
# User wins both prizes
winners = ended_raffle_contest.select_winners()
assert len(winners) == 2
def test_winners_3_prizes_3_entries(
self, ended_raffle_contest, product, user_1, user_2, user_3
):
ended_raffle_contest.prizes = [
ContestPrize(
name="iPod 64GB White",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
ContestPrize(
name="iPod 64GB Black",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
ContestPrize(
name="iPod 64GB Red",
kind=ContestPrizeKind.PHYSICAL,
estimated_cash_value=USDCent(100_00),
),
]
ended_raffle_contest.entries = [
ContestEntry(
user=user_1,
amount=USDCent(1),
entry_type=ContestEntryType.CASH,
),
ContestEntry(
user=user_2,
amount=USDCent(2),
entry_type=ContestEntryType.CASH,
),
ContestEntry(
user=user_3,
amount=USDCent(3),
entry_type=ContestEntryType.CASH,
),
]
winners = ended_raffle_contest.select_winners()
assert len(winners) == 3
winners = [ended_raffle_contest.select_winners() for _ in range(10000)]
# There's 3 winners, the 1st should follow the same percentages
c = Counter([w[0].user.user_id for w in winners])
assert c[user_1.user_id] == approx(10000 * 1 / 6, rel=0.1)
assert c[user_2.user_id] == approx(10000 * 2 / 6, rel=0.1)
assert c[user_3.user_id] == approx(10000 * 3 / 6, rel=0.1)
# Assume the 1st user won
ended_raffle_contest.entries.pop(0)
winners = [ended_raffle_contest.select_winners() for _ in range(10000)]
c = Counter([w[0].user.user_id for w in winners])
assert c[user_2.user_id] == approx(10000 * 2 / 5, rel=0.1)
assert c[user_3.user_id] == approx(10000 * 3 / 5, rel=0.1)
|
