tegwick
a18d83f74a
Assistant: codex Assistant-Model: gpt-6-astra Assistant-Session: 01a0e738-9e15-7600-87e6-90dec3a7beef
87 lines
4.1 KiB
Python
87 lines
4.1 KiB
Python
import copy
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import json
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from datetime import datetime, timezone
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from pathlib import Path
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import pytest
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from activity_core.context_resolvers import frontend_patterns as f
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NOW = datetime(2026, 10, 1, 7, tzinfo=timezone.utc)
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INPUT = {'schema_version': 1, 'as_of': '2026-09-28T09:00:00Z',
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'health': {k: 'unverified' for k in ('schedule','collection','verification','publication','rollback','executor')},
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'evidence_ref': 'docs/evidence/report.json', 'decisions': []}
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EVENT = {'date': '2026-09-28', 'effort': {'research_minutes': 4, 'execution_minutes': 1, 'reported_tokens': None, 'cost_usd': None}}
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def setup(monkeypatch, data=None, events=None, unavailable=False):
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data = copy.deepcopy(INPUT if data is None else data)
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events = [EVENT] if events is None else events
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def raw(repo, sha, path):
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assert repo == 'frontend-patterns' and sha == 'a'*40
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if path == 'feedback/sources.json': return b'{"schema_version":1,"sources":[]}'
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if path == 'feedback/monthly-review-input.json':
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if unavailable: raise ValueError('unavailable')
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return json.dumps(data).encode()
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if path == 'research/evolution/ledger.json': return json.dumps({'events': events}).encode()
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if path == 'docs/evidence/report.json': return b'{}'
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raise ValueError('unexpected or missing file')
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monkeypatch.setattr(f, 'raw', raw)
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monkeypatch.setattr(f, 'revision', lambda *args: 'a'*40)
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def test_october_packet_with_no_consumers_retains_health_and_unknown_cost(monkeypatch):
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setup(monkeypatch)
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r=f.collect('monthly', NOW)
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assert r['status']=='no_consumers' and r['model_calls']==0
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assert r['window']=={'start':'2026-09-01T00:00:00+02:00','end_exclusive':'2026-10-01T00:00:00+02:00'}
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assert r['review']['health']['executor']=='unverified'
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assert r['review']['measured_effort']['cost_usd']=={'known':0,'unknown_cycles':1}
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assert r['review']['measured_effort']['research_minutes']=={'known':4,'unknown_cycles':0}
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assert r['execution_ready'] is False
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assert len(json.dumps(r,sort_keys=True,separators=(',',':'))) <= 3900
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def test_incomplete_input_degrades_without_losing_receipt_summary(monkeypatch):
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setup(monkeypatch, unavailable=True)
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r=f.collect('monthly', NOW)
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assert r['status']=='degraded' and r['real_uses']==0
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assert r['review']['health']=='unknown' and r['review']['decisions']==[]
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@pytest.mark.parametrize('change', [
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{'as_of':'2026-10-02T00:00:00Z'}, {'as_of':'2026-09-28T00:00:00'},
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{'evidence_ref':'../secret'}, {'decisions':[{}]*4},
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{'health':{'executor':'ready'}}, {'decisions':[{'question':'x','recommendation':'y'}]},
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{'evidence_ref':'docs/evidence/missing.json'},
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])
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def test_invalid_review_input_never_claims_health(monkeypatch, change):
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data=copy.deepcopy(INPUT); data.update(change); setup(monkeypatch,data)
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r=f.collect('monthly', NOW)
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assert r['status']=='degraded' and r['review']['health']=='unknown'
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def test_month_filter_and_missing_effort(monkeypatch):
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old=copy.deepcopy(EVENT); old['date']='2026-08-31'
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future=copy.deepcopy(EVENT); future['date']='2026-10-01'
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unknown=copy.deepcopy(EVENT); unknown['effort']['research_minutes']=None
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setup(monkeypatch, events=[old,future,EVENT,unknown])
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r=f.collect('monthly', NOW)['review']
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assert r['research_cycles']==2
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assert r['measured_effort']['research_minutes']=={'known':4,'unknown_cycles':1}
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def test_stale_owner_snapshot_is_not_live_health(monkeypatch):
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data=copy.deepcopy(INPUT); data['as_of']='2026-09-01T00:00:00Z'; setup(monkeypatch,data)
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r=f.collect('monthly',NOW)['review']
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assert r['stale'] is True and 'not live attestation' in r['basis']
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@pytest.mark.parametrize('value', [-1, float('nan'), True])
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def test_invalid_effort_does_not_invent_totals(monkeypatch, value):
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event=copy.deepcopy(EVENT); event['effort']['cost_usd']=value
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setup(monkeypatch, events=[event])
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assert f.collect('monthly', NOW)['status']=='degraded'
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def test_daily_does_not_require_monthly_packet(monkeypatch):
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setup(monkeypatch, unavailable=True)
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assert f.collect('daily', NOW)['status']=='no_consumers'
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