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@arizeai/phoenix-mcp

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by Arize-ai
test_dataset.py1.41 kB
from sqlalchemy import select from phoenix.db import models from phoenix.db.insertion.dataset import ExampleContent, add_dataset_examples from phoenix.server.types import DbSessionFactory async def test_create_dataset( db: DbSessionFactory, ) -> None: async with db() as session: await add_dataset_examples( session=session, examples=[ ExampleContent(input={"x": 1, "y": 2}, output={"z": 3}, metadata={"zz": 4}), ExampleContent(input={"x": 11, "y": 22}, output={"z": 33}, metadata={"zz": 44}), ], name="abc", description="xyz", metadata={"m": 0}, ) async with db() as session: data = await session.scalars( select(models.DatasetExampleRevision) .join(models.DatasetExample) .join_from(models.DatasetExample, models.Dataset) .where(models.Dataset.name == "abc") .where(models.Dataset.description == "xyz") .where(models.Dataset.metadata_["m"].as_float() == 0) .order_by(models.DatasetExampleRevision.id) ) rev = next(data) assert rev.input == {"x": 1, "y": 2} assert rev.output == {"z": 3} assert rev.metadata_ == {"zz": 4} rev = next(data) assert rev.input == {"x": 11, "y": 22} assert rev.output == {"z": 33} assert rev.metadata_ == {"zz": 44}

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