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8e3b579df2
Core implementation of postgresql dataset for llama stack Signed-off-by: Josh Salomon <jsalomon@redhat.com>
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
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 typing import List
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from llama_stack.providers.datatypes import (
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AdapterSpec,
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Api,
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InlineProviderSpec,
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ProviderSpec,
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remote_provider_spec,
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)
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def available_providers() -> List[ProviderSpec]:
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return [
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InlineProviderSpec(
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api=Api.datasetio,
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provider_type="inline::localfs",
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pip_packages=["pandas"],
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module="llama_stack.providers.inline.datasetio.localfs",
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config_class="llama_stack.providers.inline.datasetio.localfs.LocalFSDatasetIOConfig",
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api_dependencies=[],
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),
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remote_provider_spec(
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api=Api.datasetio,
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adapter=AdapterSpec(
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adapter_type="huggingface",
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pip_packages=[
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"datasets",
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],
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module="llama_stack.providers.remote.datasetio.huggingface",
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config_class="llama_stack.providers.remote.datasetio.huggingface.HuggingfaceDatasetIOConfig",
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),
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),
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remote_provider_spec(
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api=Api.datasetio,
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adapter=AdapterSpec(
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adapter_type="postgresql",
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pip_packages=[
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# "asyncpg",
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# "datasets",
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"psycopg",
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"psycopg[pool]",
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],
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module="llama_stack.providers.remote.datasetio.postgresql",
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config_class="llama_stack.providers.remote.datasetio.postgresql.PostgreSQLDatasetIOConfig",
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),
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),
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]
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