mirror of
https://github.com/meta-llama/llama-stack.git
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cb84034567
* wip * dataset validation * test_scoring * cleanup * clean up test * comments * error checking * dataset client * test client: * datasetio client * clean up * basic scoring function works * scorer wip * equality scorer * score batch impl * score batch * update scoring test * refactor * validate scorer input * address comments * add all rows scores to ScoringResult * bugfix * scoring function def rename
103 lines
3 KiB
Python
103 lines
3 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 os
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from pathlib import Path
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from typing import Optional
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import fire
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import httpx
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from termcolor import cprint
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from llama_stack.apis.datasets import * # noqa: F403
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from llama_stack.apis.datasetio import * # noqa: F403
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from llama_stack.apis.common.type_system import * # noqa: F403
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from llama_stack.apis.datasets.client import DatasetsClient
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from llama_stack.providers.tests.datasetio.test_datasetio import data_url_from_file
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class DatasetIOClient(DatasetIO):
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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 get_rows_paginated(
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self,
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dataset_id: str,
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rows_in_page: int,
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page_token: Optional[str] = None,
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filter_condition: Optional[str] = None,
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) -> PaginatedRowsResult:
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async with httpx.AsyncClient() as client:
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response = await client.get(
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f"{self.base_url}/datasetio/get_rows_paginated",
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params={
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"dataset_id": dataset_id,
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"rows_in_page": rows_in_page,
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"page_token": page_token,
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"filter_condition": filter_condition,
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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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if not response.json():
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return
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return PaginatedRowsResult(**response.json())
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async def run_main(host: str, port: int):
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client = DatasetsClient(f"http://{host}:{port}")
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# register dataset
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test_file = (
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Path(os.path.abspath(__file__)).parent.parent.parent
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/ "providers/tests/datasetio/test_dataset.csv"
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)
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test_url = data_url_from_file(str(test_file))
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response = await client.register_dataset(
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DatasetDefWithProvider(
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identifier="test-dataset",
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provider_id="meta0",
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url=URL(
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uri=test_url,
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),
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dataset_schema={
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"generated_answer": StringType(),
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"expected_answer": StringType(),
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"input_query": StringType(),
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},
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)
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)
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# list datasets
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list_dataset = await client.list_datasets()
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cprint(list_dataset, "blue")
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# datsetio client to get the rows
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datasetio_client = DatasetIOClient(f"http://{host}:{port}")
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response = await datasetio_client.get_rows_paginated(
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dataset_id="test-dataset",
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rows_in_page=4,
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page_token=None,
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filter_condition=None,
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)
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cprint(f"Returned {len(response.rows)} rows \n {response}", "green")
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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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