chore: import upstream snapshot with attribution
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# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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"""Cache configuration model."""
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from graphrag_storage import StorageConfig, StorageType
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from pydantic import BaseModel, ConfigDict, Field
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from graphrag_cache.cache_type import CacheType
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class CacheConfig(BaseModel):
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"""The configuration section for cache."""
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model_config = ConfigDict(extra="allow")
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"""Allow extra fields to support custom cache implementations."""
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type: str = Field(
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description="The cache type to use. Builtin types include 'Json', 'Memory', and 'Noop'.",
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default=CacheType.Json,
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)
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storage: StorageConfig | None = Field(
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description="The storage configuration to use for file-based caches such as 'Json'.",
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default_factory=lambda: StorageConfig(type=StorageType.File, base_dir="cache"),
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)
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