benchmark-results / test_subq.py
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Rerun SubQ with full method context (#43)
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import unittest
from unittest.mock import Mock, patch
import httpx
import subq
class SubQTests(unittest.TestCase):
def setUp(self):
names = ('API API_LABEL KEY_ENV COST_BASIS HOST_PREFIX CATALOG MODELS MODEL_ID REVISION PROTOCOL RUN_ID HOST CONTEXT_LIMIT PRICE prediction predict report').split()
self.restore = patch.multiple(subq.runner, **{n: getattr(subq.runner, n) for n in names})
self.restore.start(); self.addCleanup(self.restore.stop)
subq.configure(); subq.runner.select_model(subq.MODEL)
self.pack = subq.runner.core.load_pack(subq.runner.ROOT/'question-pack.json')
self.pair = {'pair_id': 'example', 'language': 'python',
'rule': {'ensure': 'Reject zero before division.'},
'before': {'state': {'method': {'source': 'return a / b'}}}}
def plan(self, names):
return {'state': self.pair['before']['state'], 'question_names': names,
'covers': {'start_byte': 0, 'end_byte': 12}}
def answer(self, probability, tokens=100):
return {'model': subq.MODEL, 'answers': {'semantic': {'type': 'noul', 'noul': probability}},
'usage': {'input_tokens': tokens, 'output_tokens': 0}}
def test_chunk_scores_preserve_polarity_and_sum_billed_tokens(self):
sizer = Mock(); sizer.plan.return_value = [self.plan(['semantic']), self.plan(['semantic'])]
with patch.object(subq, 'sizer', return_value=sizer), patch.object(subq, 'request', side_effect=[self.answer(.9), self.answer(.2, 200)]) as request:
row = subq.predict('key', self.pair, 'before', 'lint', self.pack, 30, Mock(), subq.MODEL)
self.assertEqual(request.call_count, 2)
self.assertAlmostEqual(row['score'], .8)
self.assertTrue(row['alert'])
self.assertEqual(row['usage']['input_tokens'], 300)
self.assertAlmostEqual(row['usage']['cost'], .000015)
self.assertEqual(len(row['readings']), 2)
def test_security_pack_is_split_into_at_most_sixteen_questions(self):
checks = subq.runner.questions_for(self.pair, 'security', self.pack)
self.assertGreater(len(checks), subq.MAX_QUESTIONS)
sizer = Mock(); sizer.plan.return_value = [self.plan([c['name'] for c in checks])]
def answer(key, state, batch, timeout, limiter):
self.assertLessEqual(len(batch), 16)
return {'model': subq.MODEL, 'answers': {c['name']: {'type':'noul','noul':.9} for c in batch},
'usage': {'input_tokens':100,'output_tokens':0}}
with patch.object(subq, 'sizer', return_value=sizer), patch.object(subq, 'request', side_effect=answer) as request:
row = subq.predict('key', self.pair, 'before', 'security', self.pack, 30, Mock(), subq.MODEL)
self.assertEqual(set(row['question_scores']), {c['name'] for c in checks})
self.assertGreater(request.call_count, 1)
self.assertTrue(all(len(r['question_names'])<=16 for r in row['readings']))
def test_timeout_stays_failed_and_retains_prior_reading_cost(self):
sizer = Mock(); sizer.plan.return_value = [self.plan(['semantic']), self.plan(['semantic'])]
with patch.object(subq, 'sizer', return_value=sizer), patch.object(subq, 'request', side_effect=[self.answer(.9, 300), httpx.ReadTimeout('timeout')]) as request:
with self.assertRaises(httpx.ReadTimeout) as raised:
subq.predict('key', self.pair, 'before', 'lint', self.pack, 30, Mock(), subq.MODEL)
self.assertEqual(request.call_count, 2)
self.assertEqual(raised.exception.usage['input_tokens'], 300)
self.assertAlmostEqual(raised.exception.usage['cost'], .000015)
def test_size_rejection_reduces_state_budget(self):
sizer = Mock(); sizer.plan.return_value = [self.plan(['semantic'])]
with patch.object(subq, 'sizer', return_value=sizer), patch.object(subq, 'request', side_effect=[subq.SizeError('maximum model length'), self.answer(.1)]) as request:
row = subq.predict('key', self.pair, 'before', 'lint', self.pack, 30, Mock(), subq.MODEL)
self.assertEqual(request.call_count, 2)
self.assertEqual(row['final_state_budget'], subq.STATE_BUDGET//2)
self.assertEqual(sizer.plan.call_args.args[2], subq.STATE_BUDGET//2)
self.assertTrue(row['alert'])
if __name__ == '__main__':
unittest.main()