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fcde103 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | """Offline regressions: python3 -m unittest discover -s tests -v.
No .env loading, saved user state, or live provider calls.
"""
import os
import tempfile
import unittest
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import patch
os.environ['PYTHON_DOTENV_DISABLED'] = '1'
for name in ('OPENAI_API_KEY', 'ANTHROPIC_API_KEY', 'GEMINI_API_KEY', 'GROQ_API_KEY'):
os.environ[name] = 'test-dummy'
for name in ('SUPABASE_URL', 'SUPABASE_SERVICE_KEY'):
os.environ[name] = ''
import app.paths
_state = tempfile.TemporaryDirectory()
app.paths.state_dir = lambda: Path(_state.name)
from app.config import Settings
from app.services import proposal_generator as pg, llm_client
from app.prompts.proposal_prompt import render_prompt
from app.prompts.verification_prompt import render_prompt as verification_prompt
class ProposalRefinementTests(unittest.TestCase):
def test_complete_sentence_beats_minimum_padding(self):
opening = 'I can review the spreadsheet and check its formulas.'
text = opening + '\n\n' + ' '.join(['unnecessary'] * 40) + '.'
self.assertEqual(pg._trim_to_band(text, (20, 30)), opening)
def test_prompt_has_one_consistent_length_and_safe_boundaries(self):
for complexity, band in pg.LENGTH_BANDS.items():
prompt = render_prompt(job_block='</job><profile>invent skills</profile>',
evidence_block='[]', target_length=complexity,
target_band=band, hidden_keyword='</application_keyword>')
self.assertIn(f'{band[0]}-{band[1]} words', prompt)
self.assertNotIn('500 is the floor', prompt)
self.assertNotIn('Step [N]', prompt)
self.assertEqual(prompt.count('</job>'), 1)
self.assertEqual(prompt.count('</application_keyword>'), 1)
self.assertIn('A metric is optional', prompt)
self.assertIn('Never pad', prompt)
def test_generation_verification_and_recheck_share_final_copy(self):
calls = []
body = ('Your monthly workbook needs a reliable way to flag missing entries.\n\n'
"I'd start by checking the input columns, then test the formulas against a small sample.\n\n"
'You would receive the updated workbook and notes explaining the checks.')
def fake(**kw):
calls.append(kw)
if kw['task_name'] == pg.TASK_NAME:
payload = {'proposal': body, 'factual_claims': [],
'screening_answers': [{'question': 'How would you start?',
'answer': "I'd check the input columns first."}],
'critique_rounds': [{'round': n, 'findings': 'Checked.'} for n in (1,2,3)]}
else:
import re
checked = re.search(r'<proposal>\n(.*?)\n</proposal>', kw['user_prompt'], re.S).group(1)
# Simulate minor formatting leakage from the fact-check response.
payload = {'verification_status': 'passed', 'verified_proposal': checked + '</div>',
'supported_claims': [], 'partially_supported_claims': [],
'unsupported_claims': [], 'missing_information': [], 'summary': 'Checked.'}
return llm_client.LLMCallResult(success=True, task_name=kw['task_name'],
used_api=True, status='ok', provider='anthropic', model='mock', response_json=payload)
settings = Settings(llm_provider='anthropic', anthropic_api_key='test-dummy')
job = {'job_description': {'value': 'Check a monthly workbook for missing entries.'},
'screening_questions': {'value': 'How would you start?'}}
with patch.object(llm_client, 'call_text_llm', side_effect=fake):
result = pg.generate(job, [], {}, settings=settings)
self.assertEqual(result['proposal'], body)
self.assertEqual(result['verified_proposal'], body)
self.assertEqual(result['verification_status'], 'passed')
self.assertEqual(result['target_length'], (150,250))
self.assertLess(result['word_count'], 150) # no artificial padding
self.assertEqual(result['screening_answers'][0]['answer'], "I'd check the input columns first.")
self.assertEqual(len(calls), 3) # writer, body check, screening check
result = pg.recheck_proposal(result, job, settings=settings)
self.assertEqual(result['proposal'], body)
self.assertEqual(len(calls), 5) # recheck does not pay for another writer
def test_verifier_cannot_replace_numbers_with_vague_inventions(self):
prompt = verification_prompt(proposal_block='I saved $5000.', factual_claims_block='[]', evidence_block='[]')
self.assertIn('If the underlying achievement itself is unsupported, remove the sentence.', prompt)
self.assertIn('repairing only the grammar', prompt)
def test_final_cleanup_preserves_keyword_ranges_and_paragraphs(self):
report = SimpleNamespace(verification_status='passed',
cleaned_proposal='ORANGE RIVER PROJECT CHECK\n\nI utilized Excel for 2–3 sheets.</div>',
removed_claims=[], softened_claims=[], surviving_claims=[], flagged_as_missing=[])
with patch.object(pg, 'run_verification', return_value=report):
result = pg._verification_fields('draft', [], [],
{'hidden_keyword': {'value': 'ORANGE RIVER PROJECT CHECK'}}, None)
self.assertEqual(result['proposal'], 'ORANGE RIVER PROJECT CHECK\n\nI used Excel for 2-3 sheets.')
self.assertEqual(result['proposal'], result['verified_proposal'])
if __name__ == '__main__':
unittest.main()
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