feat: 完善模型用量趋势与全局手账卡片并补齐阶段验收
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@@ -0,0 +1,69 @@
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import asyncio
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import sys
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from contextlib import nullcontext
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from types import SimpleNamespace
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import pytest
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from app.errors import ApiError
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from app.providers.routing import ModelRoutingService, MAX_LOCAL_MEDIA_BYTES, MAX_MEDIA_BYTES, RoutedTranscript
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from app.services import transcription_service as jobs
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from app.config import get_settings
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def test_large_media_requires_local_only_and_respects_size_limit():
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path = get_settings().attachments_path / 'large.mp3'
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path.parent.mkdir(parents=True, exist_ok=True)
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with path.open('wb') as file:
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file.truncate(MAX_MEDIA_BYTES + 1)
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with pytest.raises(ApiError):
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ModelRoutingService._media_file(path)
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with ModelRoutingService._media_file(path, local_only=True):
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pass
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with pytest.raises(ApiError):
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asyncio.run(jobs.create_transcription('large.mp3', local_only=False))
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with path.open('wb') as file:
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file.truncate(MAX_LOCAL_MEDIA_BYTES + 1)
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with pytest.raises(ApiError):
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ModelRoutingService._media_file(path, local_only=True)
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def test_decode_recovers_one_corrupt_packet_without_shifting_following_audio(monkeypatch):
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from app.local_models.worker import decode
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class Samples(list):
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def reshape(self, *_): return self
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def astype(self, *_): return self
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def to_ndarray(self): return self
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class InvalidDataError(Exception): pass
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def broken(): raise InvalidDataError()
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packets = [SimpleNamespace(decode=lambda: [Samples([1] * 3200)]),
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SimpleNamespace(decode=broken, duration=100, time_base=.001),
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SimpleNamespace(decode=lambda: [Samples([2] * 3200)])]
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container = SimpleNamespace(streams=SimpleNamespace(audio=[1]), demux=lambda **_: iter(packets))
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fake_av = SimpleNamespace(open=lambda *_a, **_kw: nullcontext(container),
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error=SimpleNamespace(InvalidDataError=InvalidDataError),
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AudioResampler=lambda **_: SimpleNamespace(resample=lambda frame: [] if frame is None else [frame]))
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fake_numpy = SimpleNamespace(float32=float, zeros=lambda count, **_: Samples([0] * count),
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concatenate=lambda frames: Samples(value for frame in frames for value in frame),
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isfinite=lambda _: SimpleNamespace(all=lambda: True))
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monkeypatch.setitem(sys.modules, 'av', fake_av)
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monkeypatch.setitem(sys.modules, 'numpy', fake_numpy)
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warnings = []
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output = decode('test.mp3', warnings=warnings)
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assert output == [1] * 3200 + [0] * 1600 + [2] * 3200
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assert warnings == ['MEDIA_CORRUPT_PACKETS_SKIPPED:1']
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with pytest.raises(ValueError, match='one hour'):
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decode('test.mp3', limit_seconds=.25)
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def test_decode_warning_reaches_persisted_job(monkeypatch):
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from app.container import container
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path = get_settings().attachments_path / 'audio.mp3'
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path.parent.mkdir(parents=True, exist_ok=True)
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path.write_bytes(b'audio')
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async def transcribe(*_args, **_kwargs):
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return RoutedTranscript(text='decoded', source='local', warnings=['MEDIA_CORRUPT_PACKETS_SKIPPED:1'])
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monkeypatch.setattr(container.model_routing, 'transcribe', transcribe)
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job = asyncio.run(jobs.create_transcription('audio.mp3', local_only=True))
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assert job.status == 'completed'
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assert jobs.require_job(job.job_id).warnings == ['MEDIA_CORRUPT_PACKETS_SKIPPED:1']
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@@ -92,3 +92,25 @@ def test_real_adapter_body_and_usage_persistence():
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result = summary()
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assert result["request_count"] == 1 and result["totals"]["input_tokens"] == 10
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assert result["complete_requests"] == 1
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def test_usage_calendar_series_splits_sources_and_preserves_missing_counters():
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start = datetime(2026, 9, 1, tzinfo=timezone.utc)
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for source, hour, count in [('local', 15, 0), ('api', 16, 12), ('api', 17, None)]:
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attempt = UsageAttempt('p', 'm', 'openai_compatible', source=source)
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attempt.started_at = (start + timedelta(hours=hour)).isoformat()
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if count is not None:
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attempt.observe({'usage': {'input_tokens': count}})
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attempt.persist()
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result = aggregate(start, start + timedelta(days=2), timezone_offset=480)
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assert result['series'][0]['local']['totals']['input_tokens'] == 0
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second = result['series'][1]
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assert second['date'] == '2026-09-02'
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assert second['api']['requests'] == 2
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assert second['api']['totals']['input_tokens'] == 12
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assert second['api']['coverage']['input_tokens'] == 1
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assert second['api']['totals']['output_tokens'] is None
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assert sum(b['api']['requests'] + b['local']['requests'] for b in result['series']) == result['request_count']
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filtered = aggregate(start, start + timedelta(days=2), source='local', timezone_offset=480)
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assert all(b['api']['requests'] == 0 for b in filtered['series'])
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assert len(aggregate(start, start + timedelta(days=3660))['series']) <= 90
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