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persist local hf datasetio
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parent
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commit
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2 changed files with 31 additions and 3 deletions
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@ -3,7 +3,15 @@
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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.apis.datasetio import * # noqa: F401, F403
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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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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 FAISS storage
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@ -11,9 +11,12 @@ from llama_stack.apis.datasetio import * # noqa: F403
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import datasets as hf_datasets
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from llama_stack.providers.datatypes import DatasetsProtocolPrivate
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from llama_stack.providers.utils.datasetio.url_utils import get_dataframe_from_url
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from llama_stack.providers.utils.kvstore import kvstore_impl
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from .config import HuggingfaceDatasetIOConfig
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DATASETS_PREFIX = "datasets:"
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def load_hf_dataset(dataset_def: Dataset):
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if dataset_def.metadata.get("path", None):
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@ -33,9 +36,20 @@ class HuggingfaceDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate):
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self.config = config
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# local registry for keeping track of datasets within the provider
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self.dataset_infos = {}
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self.kvstore = None
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async def initialize(self) -> None:
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pass
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self.kvstore = await kvstore_impl(self.config.kvstore)
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# Load existing datasets from kvstore
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start_key = DATASETS_PREFIX
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end_key = f"{DATASETS_PREFIX}\xff"
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stored_datasets = await self.kvstore.range(start_key, end_key)
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for dataset in stored_datasets:
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dataset = Dataset.model_validate_json(dataset)
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self.dataset_infos[dataset.identifier] = dataset
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print(f"HF DatasetIO initialized with {self.dataset_infos}")
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async def shutdown(self) -> None: ...
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@ -43,6 +57,12 @@ class HuggingfaceDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate):
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self,
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dataset_def: Dataset,
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) -> None:
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# Store in kvstore
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key = f"{DATASETS_PREFIX}{dataset_def.identifier}"
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await self.kvstore.set(
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key=key,
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value=dataset_def.json(),
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)
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self.dataset_infos[dataset_def.identifier] = dataset_def
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async def get_rows_paginated(
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