mirror of
https://github.com/NVIDIA-NeMo/DataDesigner
synced 2026-05-24 09:48:29 +00:00
f8c201e085
* update script * update headers * refactor a bit and add test script * update headers * update for edge case * update headers * add step to get file creation date * use git history to get copyright year * generation type is printed with inference parameters * fix unit test
52 lines
2.1 KiB
Python
52 lines
2.1 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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import pandas as pd
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import pytest
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from pydantic import ValidationError
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from data_designer.config.utils.code_lang import CodeLang
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from data_designer.config.validator_params import (
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CodeValidatorParams,
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LocalCallableValidatorParams,
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RemoteValidatorParams,
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)
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def test_code_validator_params():
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assert CodeValidatorParams(code_lang=CodeLang.PYTHON).code_lang == CodeLang.PYTHON
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with pytest.raises(ValidationError):
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CodeValidatorParams(code_lang=CodeLang.RUBY)
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def test_remote_validator_params():
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stub_url = "https://example.com"
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params = RemoteValidatorParams(endpoint_url=stub_url)
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assert params.endpoint_url == stub_url
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assert params.output_schema is None
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assert params.timeout == 30.0
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assert params.max_retries == 3
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assert params.retry_backoff == 2.0
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assert params.max_parallel_requests == 4
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with pytest.raises(ValidationError, match="Input should be greater than 0"):
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RemoteValidatorParams(endpoint_url=stub_url, timeout=0.0)
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with pytest.raises(ValidationError, match="Input should be greater than or equal to 0"):
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RemoteValidatorParams(endpoint_url=stub_url, max_retries=-1)
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with pytest.raises(ValidationError, match="Input should be greater than 1"):
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RemoteValidatorParams(endpoint_url=stub_url, retry_backoff=1.0)
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with pytest.raises(ValidationError, match="Input should be greater than or equal to 1"):
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RemoteValidatorParams(endpoint_url=stub_url, max_parallel_requests=0)
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def test_callback_validator_params():
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def stub_callback(df: pd.DataFrame) -> pd.DataFrame:
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return pd.DataFrame([{"is_valid": True, "confidence": "0.98"}])
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params = LocalCallableValidatorParams(validation_function=stub_callback)
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assert params.validation_function == stub_callback
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assert params.output_schema is None
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params_model_dump = params.model_dump(mode="json")
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assert params_model_dump["validation_function"] == "stub_callback"
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