preference-lab / test_hf_space.py
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feat: PreferenceLab complete - RLHF preference simulation OpenEnv environment
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import urllib.request
import urllib.error
import json
import time
BASE = 'https://dev-crafterx-preference-lab.hf.space'
PASS = 0
FAIL = 0
def post(url, data={}):
body = json.dumps(data).encode()
req = urllib.request.Request(url, data=body,
headers={'Content-Type': 'application/json'})
try:
with urllib.request.urlopen(req, timeout=60) as r:
return json.loads(r.read())
except Exception as e:
return {'error': str(e)}
def get(url):
try:
with urllib.request.urlopen(url, timeout=60) as r:
return json.loads(r.read())
except Exception as e:
return {'error': str(e)}
def get_obs(r):
"""reward/done are at TOP LEVEL, not inside observation."""
obs = r.get('observation', r)
obs['reward'] = r.get('reward')
obs['done'] = r.get('done')
return obs
def check(name, condition, got=None):
global PASS, FAIL
if condition:
print(f' βœ… PASS β€” {name}')
PASS += 1
else:
print(f' ❌ FAIL β€” {name} | got: {got}')
FAIL += 1
print()
print('=' * 60)
print(' PreferenceLab β€” Full Simulation Test')
print(f' Target: {BASE}')
print('=' * 60)
# ── TEST 1: Health ─────────────────────────────────────────────
print('\n[1] HEALTH CHECK')
r = get(f'{BASE}/health')
check('Returns status field', 'status' in r, r)
check('Status is healthy', r.get('status') == 'healthy', r.get('status'))
# ── TEST 2: Reset β€” all 3 task types ──────────────────────────
print('\n[2] RESET β€” ALL 3 TASK TYPES')
for task in ['pairwise', 'likert', 'consistency']:
r = post(f'{BASE}/reset', {'task_type': task})
obs = get_obs(r)
check(f'reset({task}) returns observation', 'observation' in r, list(r.keys()))
check(f'reset({task}) has prompt', bool(obs.get('prompt')), obs.get('prompt','')[:30])
check(f'reset({task}) reward=0.0', obs.get('reward') == 0.0, obs.get('reward'))
check(f'reset({task}) done=false', obs.get('done') == False, obs.get('done'))
check(f'reset({task}) task_type correct', obs.get('task_type') == task, obs.get('task_type'))
# ── TEST 3: Pairwise β€” all choices ────────────────────────────
print('\n[3] PAIRWISE β€” ALL CHOICES')
rewards_pairwise = {}
for choice in ['A', 'B', 'tie', 'skip']:
post(f'{BASE}/reset', {'task_type': 'pairwise', 'seed': 42})
r = post(f'{BASE}/step', {'action': {'choice': choice}})
obs = get_obs(r)
reward = obs.get('reward')
rewards_pairwise[choice] = reward
check(f'choice={choice} reward in [0,1]',
reward is not None and 0.0 <= reward <= 1.0, reward)
check('A and B give different rewards (anti-constant)',
rewards_pairwise.get('A') != rewards_pairwise.get('B'),
f"A={rewards_pairwise.get('A')} B={rewards_pairwise.get('B')}")
check('skip gives partial credit (0.3)',
rewards_pairwise.get('skip') == 0.3,
rewards_pairwise.get('skip'))
# ── TEST 4: Likert scoring ─────────────────────────────────────
print('\n[4] LIKERT SCORING')
post(f'{BASE}/reset', {'task_type': 'likert', 'seed': 42})
r = post(f'{BASE}/step', {'action': {
'helpfulness': 5, 'honesty': 5,
'harmlessness': 5, 'instruction_following': 5
}})
obs = get_obs(r)
check('Likert perfect scores accepted', obs.get('reward') is not None, list(obs.keys()))
check('Likert reward in [0,1]',
obs.get('reward') is not None and 0.0 <= obs.get('reward', -1) <= 1.0,
obs.get('reward'))
post(f'{BASE}/reset', {'task_type': 'likert', 'seed': 42})
r2 = post(f'{BASE}/step', {'action': {
'helpfulness': 1, 'honesty': 1,
'harmlessness': 1, 'instruction_following': 1
}})
obs2 = get_obs(r2)
check('Likert worst != perfect (varies)',
obs.get('reward') != obs2.get('reward'),
f"perfect={obs.get('reward')} worst={obs2.get('reward')}")
# ── TEST 5: Consistency ranking ────────────────────────────────
print('\n[5] CONSISTENCY RANKING')
post(f'{BASE}/reset', {'task_type': 'consistency', 'seed': 42})
r = post(f'{BASE}/step', {'action': {'ranking': ['A', 'B', 'C', 'D']}})
obs = get_obs(r)
check('Consistency accepts 4-item ranking', obs.get('reward') is not None, list(obs.keys()))
check('Consistency reward in [0,1]',
obs.get('reward') is not None and 0.0 <= obs.get('reward', -1) <= 1.0,
obs.get('reward'))
post(f'{BASE}/reset', {'task_type': 'consistency', 'seed': 42})
r2 = post(f'{BASE}/step', {'action': {'ranking': ['D', 'C', 'B', 'A']}})
obs2 = get_obs(r2)
check('Consistency reversed != perfect (grader works)',
obs.get('reward') != obs2.get('reward'),
f"correct={obs.get('reward')} reversed={obs2.get('reward')}")
# ── TEST 6: Full episode β€” 5 steps ────────────────────────────
print('\n[6] FULL EPISODE β€” 5 STEPS')
post(f'{BASE}/reset', {'task_type': 'pairwise', 'seed': 99})
rewards = []
done = False
steps = 0
for i in range(10):
r = post(f'{BASE}/step', {'action': {'choice': 'A'}})
obs = get_obs(r)
rewards.append(obs.get('reward', 0))
done = obs.get('done', False)
steps += 1
if done:
break
check('Episode terminates (done=true)', done == True, done)
check('Episode runs exactly 5 steps', steps == 5, steps)
check('All rewards in [0,1]',
all(0.0 <= rv <= 1.0 for rv in rewards if rv is not None), rewards)
# ── TEST 7: Reproducibility with seed ─────────────────────────
print('\n[7] REPRODUCIBILITY β€” SAME SEED = SAME EPISODE')
r1 = post(f'{BASE}/reset', {'task_type': 'pairwise', 'seed': 777})
r2 = post(f'{BASE}/reset', {'task_type': 'pairwise', 'seed': 777})
p1 = get_obs(r1).get('prompt', 'X')
p2 = get_obs(r2).get('prompt', 'Y')
check('Same seed produces same prompt', p1 == p2, f"p1={p1[:30]} p2={p2[:30]}")
r3 = post(f'{BASE}/reset', {'task_type': 'pairwise', 'seed': 888})
p3 = get_obs(r3).get('prompt', 'Z')
check('Different seed produces different episode',
p1 != p3, f"seed777={p1[:30]} seed888={p3[:30]}")
# ── TEST 8: State endpoint ─────────────────────────────────────
print('\n[8] STATE ENDPOINT')
post(f'{BASE}/reset', {'task_type': 'likert', 'seed': 42})
post(f'{BASE}/step', {'action': {
'helpfulness': 4, 'honesty': 4,
'harmlessness': 4, 'instruction_following': 4
}})
r = get(f'{BASE}/state')
check('State has step_count > 0', r.get('step_count', 0) > 0, r.get('step_count'))
check('State has task_type=likert', r.get('task_type') == 'likert', r.get('task_type'))
check('State has seed=42', r.get('seed') == 42, r.get('seed'))
check('State has cumulative_reward', 'cumulative_reward' in r, list(r.keys()))
# ── TEST 9: Concurrent resets ──────────────────────────────────
print('\n[9] CONCURRENT RESETS β€” ISOLATION CHECK')
ra = post(f'{BASE}/reset', {'task_type': 'pairwise', 'seed': 1})
rb = post(f'{BASE}/reset', {'task_type': 'consistency', 'seed': 2})
ta = get_obs(ra).get('task_type')
tb = get_obs(rb).get('task_type')
check('Different task types accepted',
ta in ['pairwise','likert','consistency'] and
tb in ['pairwise','likert','consistency'], f"ta={ta} tb={tb}")
# ── TEST 10: Disqualification guard ───────────────────────────
print('\n[10] DISQUALIFICATION GUARD β€” REWARDS MUST VARY')
all_rewards = set()
for seed in [1, 2, 3, 4, 5]:
post(f'{BASE}/reset', {'task_type': 'pairwise', 'seed': seed})
for choice in ['A', 'B']:
r = post(f'{BASE}/step', {'action': {'choice': choice}})
obs = get_obs(r)
rw = obs.get('reward')
if rw is not None:
all_rewards.add(rw)
post(f'{BASE}/reset', {'task_type': 'pairwise', 'seed': seed})
check('Rewards NOT constant (DQ check)',
len(all_rewards) > 1, f"unique rewards: {all_rewards}")
# ── FINAL SUMMARY ──────────────────────────────────────────────
print()
print('=' * 60)
total = PASS + FAIL
print(f' RESULTS: {PASS}/{total} PASSED')
print()
if FAIL == 0:
print(' πŸ† ALL TESTS PASSED β€” SUBMISSION READY!')
elif FAIL <= 3:
print(' ⚠️ MINOR ISSUES β€” Check above')
else:
print(' ❌ FAILURES β€” Fix before submitting')
print('=' * 60)