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@arizeai/phoenix-mcp

Official
by Arize-ai
conftest.py2.46 kB
from datetime import datetime, timezone from typing import Any import pytest from phoenix.db import models from phoenix.db.models import ExperimentRunOutput from phoenix.server.types import DbSessionFactory @pytest.fixture async def simple_dataset( db: DbSessionFactory, ) -> None: """ A dataset with one example added in one version """ async with db() as session: dataset = models.Dataset( id=0, name="simple dataset", description=None, metadata_={"info": "a test dataset"}, ) session.add(dataset) await session.flush() dataset_version_0 = models.DatasetVersion( id=0, dataset_id=0, description="the first version", metadata_={"info": "gotta get some test data somewhere"}, ) session.add(dataset_version_0) await session.flush() example_0 = models.DatasetExample( id=0, dataset_id=0, ) session.add(example_0) await session.flush() example_0_revision_0 = models.DatasetExampleRevision( id=0, dataset_example_id=0, dataset_version_id=0, input={"in": "foo"}, output={"out": "bar"}, metadata_={"info": "the first reivision"}, revision_kind="CREATE", ) session.add(example_0_revision_0) await session.flush() @pytest.fixture async def simple_dataset_with_one_experiment_run( db: DbSessionFactory, simple_dataset: Any, ) -> None: """ A dataset with one example added in one version plus one experiment run """ async with db() as session: experiment_0 = models.Experiment( id=0, dataset_id=0, dataset_version_id=0, name="simple experiment", description=None, repetitions=1, metadata_={"info": "a test experiment"}, ) session.add(experiment_0) await session.flush() experiment_run_0 = models.ExperimentRun( id=0, experiment_id=0, dataset_example_id=0, repetition_number=1, output=ExperimentRunOutput(task_output=1), start_time=datetime.now(timezone.utc), end_time=datetime.now(timezone.utc), ) session.add(experiment_run_0) await session.flush()

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