f794d9e11e
Code-only import without upstream history. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
import os
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import sys
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from unittest.mock import MagicMock
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# The production code converts SIENTIA_MINIO_OFFLOAD_THRESHOLD_MEGABYTES to int at import-time.
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# Tests must set it to a valid integer string to avoid import errors.
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os.environ.setdefault('SIENTIA_MINIO_OFFLOAD_THRESHOLD_MEGABYTES', '1')
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class DummyMinioDataFramePayload:
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"""
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Minimal payload double used by unit tests.
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The production workflow/gates expect a MinioDataFramePayload-like object with:
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- async retrieve(minio_repo, workflow_metadata) -> DataFrame | dict
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- has_data() -> bool
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- cleanup_prefix() -> str | None
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- last_timestamp: attribute
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- status: attribute
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"""
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def __init__(
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self,
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*,
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retrieve_return=None,
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has_data: bool = True,
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cleanup_prefix: str | None = None,
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last_timestamp: str = '2024-01-01',
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status: dict | None = None,
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):
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self._retrieve_return = retrieve_return
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self._has_data = has_data
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self._cleanup_prefix = cleanup_prefix
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self.last_timestamp = last_timestamp
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self.status = status
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async def retrieve(self, _minio_repo, _workflow_metadata=None):
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return self._retrieve_return
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def has_data(self) -> bool:
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return self._has_data
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def cleanup_prefix(self) -> str | None:
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return self._cleanup_prefix
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"""
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Pytest configuration file with global mocks for external dependencies.
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This module mocks the 'sientia' module to avoid requiring its installation
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during unit tests. The mock is registered in sys.modules before any test
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imports are executed.
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"""
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# Mock sientia module
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sientia_mock = MagicMock()
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sientia_mock.ModelAnalysis = MagicMock
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sys.modules['sientia'] = sientia_mock
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sys.modules['sientia.ModelAnalysis'] = MagicMock()
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