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test_sequencing.py — Unit tests for the HardSequencingGrader and DP oracle.
Run: python test_sequencing.py
"""
import sys
sys.path.insert(0, ".")
from environment import HardSequencingGrader
def test_dp_oracle_simple():
"""Fixed scenario: 4 steps, known optimal is to bid on steps 0 and 2."""
g = HardSequencingGrader()
# Step 0: cheap (clears at $1), good CTR 0.10
g.record_step(step=0, context="Fitness", clearing_price=1.0,
base_ctr=0.10, auction_won=True, cost=1.0,
conversion_value=15.0)
# Step 1: expensive (clears at $8), low CTR 0.02
g.record_step(step=1, context="Tech", clearing_price=8.0,
base_ctr=0.02, auction_won=False, cost=0.0,
conversion_value=15.0)
# Step 2: cheap (clears at $1), good CTR 0.10
g.record_step(step=2, context="Fashion", clearing_price=1.0,
base_ctr=0.10, auction_won=True, cost=1.0,
conversion_value=15.0)
# Step 3: cheap (clears at $1), good CTR 0.08
g.record_step(step=3, context="Gaming", clearing_price=1.0,
base_ctr=0.08, auction_won=True, cost=1.0,
conversion_value=15.0)
oracle_val = g._oracle_conversions(budget=10.0)
assert oracle_val > 0, f"Oracle should find positive conversions, got {oracle_val}"
print(f" DP oracle conversions: {oracle_val:.4f} ✓")
score = g.episode_score(initial_budget=10.0)
assert 0.0 <= score <= 1.0, f"Score out of range: {score}"
print(f" Episode score: {score:.4f} ✓")
def test_never_bid_score_zero():
"""Agent never bids → score should be 0.0."""
g = HardSequencingGrader()
for i in range(24):
ctx = ["Fitness", "Tech", "Fashion", "Gaming"][i % 4]
g.record_step(step=i, context=ctx, clearing_price=1.0,
base_ctr=0.05, auction_won=False, cost=0.0,
conversion_value=15.0)
score = g.episode_score(initial_budget=100.0)
assert score == 0.0, f"Expected 0.0 for never-bid agent, got {score}"
print(f" Never-bid score: {score} ✓")
def test_diversity_multiplier():
"""Check 1.2× when ≥3 contexts, 1.0 otherwise."""
g = HardSequencingGrader()
# Only 2 contexts
g.record_step(step=0, context="Fitness", clearing_price=1.0,
base_ctr=0.10, auction_won=True, cost=1.0,
conversion_value=15.0)
g.record_step(step=1, context="Tech", clearing_price=1.0,
base_ctr=0.10, auction_won=True, cost=1.0,
conversion_value=15.0)
assert g._diversity_multiplier() == 1.0, "Should be 1.0 with only 2 contexts"
# Add 3rd context
g.record_step(step=2, context="Fashion", clearing_price=1.0,
base_ctr=0.10, auction_won=True, cost=1.0,
conversion_value=15.0)
assert g._diversity_multiplier() == 1.20, "Should be 1.2 with 3 contexts"
print(f" Diversity multiplier: correct ✓")
def test_carryover_schedule():
"""Verify carry-over boosts decay correctly: +15%/+10%/+5%."""
g = HardSequencingGrader()
# Win at step 0, skip rest
g.record_step(step=0, context="Fitness", clearing_price=1.0,
base_ctr=0.10, auction_won=True, cost=1.0,
conversion_value=15.0)
for i in range(1, 5):
g.record_step(step=i, context="Tech", clearing_price=1.0,
base_ctr=0.10, auction_won=False, cost=0.0,
conversion_value=15.0)
agent_conv = g._agent_conversions()
# Only step 0 won, no prior wins → no boost, base conversion = 0.10 * 15 = 1.5
expected = 0.10 * 15.0
assert abs(agent_conv - expected) < 0.001, \
f"Expected {expected}, got {agent_conv}"
print(f" Carry-over schedule: correct ✓")
# Now test with consecutive wins
g.reset()
g.record_step(step=0, context="Fitness", clearing_price=1.0,
base_ctr=0.10, auction_won=True, cost=1.0,
conversion_value=15.0)
g.record_step(step=1, context="Tech", clearing_price=1.0,
base_ctr=0.10, auction_won=True, cost=1.0,
conversion_value=15.0)
agent_conv = g._agent_conversions()
# step 0: no boost → 0.10 * 15 = 1.5
# step 1: boost from step 0 win = +15% → 0.10 * 1.15 * 15 = 1.725
expected = 1.5 + 0.10 * 1.15 * 15.0
assert abs(agent_conv - expected) < 0.001, \
f"Expected {expected}, got {agent_conv}"
print(f" Consecutive carry-over: correct ✓")
def test_episode_score_bounded():
"""Score should always be in [0.0, 1.0]."""
g = HardSequencingGrader()
# Agent bids on everything (cheap auctions)
for i in range(24):
ctx = ["Fitness", "Tech", "Fashion", "Gaming"][i % 4]
g.record_step(step=i, context=ctx, clearing_price=0.50,
base_ctr=0.08, auction_won=True, cost=0.50,
conversion_value=15.0)
score = g.episode_score(initial_budget=100.0)
assert 0.0 <= score <= 1.0, f"Score out of bounds: {score}"
print(f" All-bid score: {score:.4f} (bounded) ✓")
def test_empty_episode():
"""Empty episode → score 0.0."""
g = HardSequencingGrader()
score = g.episode_score(initial_budget=100.0)
assert score == 0.0, f"Expected 0.0 for empty episode, got {score}"
print(f" Empty episode: {score} ✓")
if __name__ == "__main__":
tests = [
("DP Oracle (simple scenario)", test_dp_oracle_simple),
("Never-bid agent → 0.0", test_never_bid_score_zero),
("Diversity multiplier", test_diversity_multiplier),
("Carry-over schedule", test_carryover_schedule),
("Score bounded [0, 1]", test_episode_score_bounded),
("Empty episode", test_empty_episode),
]
print("=" * 52)
print(" HardSequencingGrader Unit Tests")
print("=" * 52)
passed = 0
for name, fn in tests:
try:
print(f"\n▸ {name}")
fn()
passed += 1
except Exception as e:
print(f" ✗ FAILED: {e}")
print(f"\n{'─'*52}")
print(f" {passed}/{len(tests)} tests passed")
print(f"{'─'*52}")
if passed < len(tests):
sys.exit(1)
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