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https://github.com/MODSetter/SurfSense.git
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Fix test mocks for vision_llm kwarg
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parent
a95bf58c8f
commit
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4 changed files with 7 additions and 7 deletions
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@ -168,7 +168,7 @@ async def test_concurrency_bounded_by_semaphore(
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active = 0
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peak = 0
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async def _slow_extract(client, file):
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async def _slow_extract(client, file, **kwargs):
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nonlocal active, peak
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async with lock:
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active += 1
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@ -209,7 +209,7 @@ async def test_heartbeat_fires_during_parallel_downloads(
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monkeypatch.setattr(_mod, "HEARTBEAT_INTERVAL_SECONDS", 0)
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async def _slow_extract(client, file):
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async def _slow_extract(client, file, **kwargs):
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await asyncio.sleep(0.05)
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return _mock_extract_ok(file["id"], file["name"])
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@ -162,7 +162,7 @@ async def test_concurrency_bounded_by_semaphore(
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active = 0
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peak = 0
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async def _slow_extract(client, file):
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async def _slow_extract(client, file, **kwargs):
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nonlocal active, peak
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async with lock:
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active += 1
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@ -204,7 +204,7 @@ async def test_heartbeat_fires_during_parallel_downloads(
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monkeypatch.setattr(_mod, "HEARTBEAT_INTERVAL_SECONDS", 0)
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async def _slow_extract(client, file):
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async def _slow_extract(client, file, **kwargs):
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await asyncio.sleep(0.05)
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return _mock_extract_ok(file["id"], file["name"])
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@ -162,7 +162,7 @@ async def test_concurrency_bounded_by_semaphore(
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active = 0
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peak = 0
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async def _slow_extract(client, file):
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async def _slow_extract(client, file, **kwargs):
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nonlocal active, peak
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async with lock:
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active += 1
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@ -203,7 +203,7 @@ async def test_heartbeat_fires_during_parallel_downloads(
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monkeypatch.setattr(_mod, "HEARTBEAT_INTERVAL_SECONDS", 0)
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async def _slow_extract(client, file):
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async def _slow_extract(client, file, **kwargs):
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await asyncio.sleep(0.05)
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return _mock_extract_ok(file["id"], file["name"])
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@ -431,7 +431,7 @@ async def test_llamacloud_heif_accepted_only_with_azure_di(tmp_path, mocker):
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mocker.patch("app.config.config.AZURE_DI_ENDPOINT", None, create=True)
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mocker.patch("app.config.config.AZURE_DI_KEY", None, create=True)
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with pytest.raises(EtlUnsupportedFileError, match="not supported by LLAMACLOUD"):
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with pytest.raises(EtlUnsupportedFileError, match="document parser does not support this format"):
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await EtlPipelineService().extract(
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EtlRequest(file_path=str(heif_file), filename="photo.heif")
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)
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