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92 lines
2.5 KiB
Python
92 lines
2.5 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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import asyncio
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import json
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import fire
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import httpx
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from .datasets import * # noqa: F403
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class DatasetClient(Datasets):
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def __init__(self, base_url: str):
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self.base_url = base_url
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async def initialize(self) -> None:
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pass
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async def shutdown(self) -> None:
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pass
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async def create_dataset(
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self,
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dataset_def: DatasetDef,
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) -> None:
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async with httpx.AsyncClient() as client:
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response = await client.post(
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f"{self.base_url}/datasets/create",
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json={
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"dataset_def": json.loads(dataset_def.json()),
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},
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headers={"Content-Type": "application/json"},
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timeout=60,
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)
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response.raise_for_status()
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return None
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async def get_dataset(
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self,
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dataset_identifier: str,
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) -> DatasetDef:
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async with httpx.AsyncClient() as client:
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response = await client.post(
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f"{self.base_url}/datasets/create",
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json={
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"dataset_identifier": dataset_identifier,
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},
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headers={"Content-Type": "application/json"},
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timeout=60,
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)
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response.raise_for_status()
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return DatasetDef(**response.json())
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async def delete_dataset(
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self,
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dataset_identifier: str,
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) -> DatasetDef:
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async with httpx.AsyncClient() as client:
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response = await client.post(
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f"{self.base_url}/datasets/delete",
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json={
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"dataset_identifier": dataset_identifier,
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},
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headers={"Content-Type": "application/json"},
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timeout=60,
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)
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response.raise_for_status()
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return None
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async def run_main(host: str, port: int):
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client = DatasetClient(f"http://{host}:{port}")
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# Custom Eval Task
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response = await client.create_dataset(
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dataset_def=CustomDatasetDef(
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identifier="test-dataset",
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url="https://openaipublic.blob.core.windows.net/simple-evals/mmlu.csv",
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),
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)
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def main(host: str, port: int):
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asyncio.run(run_main(host, port))
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if __name__ == "__main__":
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fire.Fire(main)
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