forked from phoenix-oss/llama-stack-mirror
# What does this PR do? - move folder ## Test Plan **Unit Test** ``` pytest -v -s -m "huggingface" datasetio/test_datasetio.py ``` **E2E** ``` llama stack run ``` ``` llama-stack-client eval run_benchmark meta-reference-mmlu --num-examples 5 --output-dir ./ --eval-task-config ~/eval_task_config.json --visualize ``` <img width="657" alt="image" src="https://github.com/user-attachments/assets/63d53f9d-6c7e-4667-af8c-9d16c91ae6e3"> ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
17 lines
629 B
Python
17 lines
629 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from llama_stack.distribution.utils.config_dirs import RUNTIME_BASE_DIR
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from llama_stack.providers.utils.kvstore.config import (
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KVStoreConfig,
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SqliteKVStoreConfig,
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)
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from pydantic import BaseModel
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class HuggingfaceDatasetIOConfig(BaseModel):
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kvstore: KVStoreConfig = SqliteKVStoreConfig(
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db_path=(RUNTIME_BASE_DIR / "huggingface_datasetio.db").as_posix()
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) # Uses SQLite config specific to HF storage
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