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* Simplify Factory interface * Migrate CacheFactory to standard base class * Migrate LoggerFactory to standard base class * Migrate StorageFactory to standard base class * Migrate VectorStoreFactory to standard base class * Update vector store example notebook * Delete notebook outputs * Move default providers into factories * Move retry/limit tests into integ * Split language model factories * Set smoke test tpm/rpm * Fix factory integ tests * Add method to smoke test, switch text to 'fast' * Fix text smoke config for fast workflow * Add new workflows to text smoke test * Convert input readers to a proper factory * Remove covariates from fast smoke test * Update docs for input factory * Bump smoke runtime * Even longer runtime * min-csv timeout * Remove unnecessary lambdas
64 lines
2.4 KiB
Python
64 lines
2.4 KiB
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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"""LoggerFactory Tests.
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These tests will test the LoggerFactory class and the creation of each reporting type that is natively supported.
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"""
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import logging
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import pytest
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from graphrag.config.enums import ReportingType
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from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger
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from graphrag.logger.factory import LoggerFactory
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# cspell:disable-next-line well-known-key
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WELL_KNOWN_BLOB_STORAGE_KEY = "DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1;"
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# cspell:disable-next-line well-known-key
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WELL_KNOWN_COSMOS_CONNECTION_STRING = "AccountEndpoint=https://127.0.0.1:8081/;AccountKey=C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
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@pytest.mark.skip(reason="Blob storage emulator is not available in this environment")
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def test_create_blob_logger():
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kwargs = {
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"type": "blob",
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"connection_string": WELL_KNOWN_BLOB_STORAGE_KEY,
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"base_dir": "testbasedir",
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"container_name": "testcontainer",
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}
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logger = LoggerFactory().create(ReportingType.blob.value, kwargs)
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assert isinstance(logger, BlobWorkflowLogger)
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def test_register_and_create_custom_logger():
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"""Test registering and creating a custom logger type."""
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from unittest.mock import MagicMock
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custom_logger_class = MagicMock(spec=logging.Handler)
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instance = MagicMock()
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instance.initialized = True
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custom_logger_class.return_value = instance
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LoggerFactory().register("custom", lambda **kwargs: custom_logger_class(**kwargs))
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logger = LoggerFactory().create("custom")
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assert custom_logger_class.called
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assert logger is instance
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# Access the attribute we set on our mock
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assert logger.initialized is True # type: ignore # Attribute only exists on our mock
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# Check if it's in the list of registered logger types
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assert "custom" in LoggerFactory()
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def test_get_logger_types():
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# Check that built-in types are registered
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assert ReportingType.file.value in LoggerFactory()
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assert ReportingType.blob.value in LoggerFactory()
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def test_create_unknown_logger():
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with pytest.raises(ValueError, match="Strategy 'unknown' is not registered\\."):
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LoggerFactory().create("unknown")
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