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datasetio
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parent
97d6b87e05
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2 changed files with 7 additions and 3 deletions
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@ -15,11 +15,12 @@ import pytest
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#
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#
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# LLAMA_STACK_CONFIG="template-name" pytest -v tests/integration/datasetio
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# LLAMA_STACK_CONFIG="template-name" pytest -v tests/integration/datasetio
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@pytest.fixture
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@pytest.fixture
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def test_dataset(llama_stack_client):
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def test_dataset(llama_stack_client):
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register_dataset(llama_stack_client)
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register_dataset(llama_stack_client)
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yield # This is where the test function will run
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yield # This is where the test function will run
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# Teardown - this always runs, even if the test fails
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# Teardown - this always runs, even if the test fails
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try:
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try:
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llama_stack_client.datasets.unregister("test_dataset")
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llama_stack_client.datasets.unregister("test_dataset")
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@ -9,11 +9,12 @@ import pytest
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from ..datasetio.test_datasetio import register_dataset
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from ..datasetio.test_datasetio import register_dataset
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@pytest.fixture
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@pytest.fixture
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def test_dataset_rag(llama_stack_client):
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def test_dataset_rag(llama_stack_client):
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register_dataset(llama_stack_client, for_rag=True)
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register_dataset(llama_stack_client, for_rag=True)
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yield # This is where the test function will run
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yield # This is where the test function will run
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# Teardown - this always runs, even if the test fails
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# Teardown - this always runs, even if the test fails
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try:
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try:
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llama_stack_client.datasets.unregister("test_dataset")
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llama_stack_client.datasets.unregister("test_dataset")
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@ -124,7 +125,9 @@ def test_scoring_score(llama_stack_client, test_dataset_rag):
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assert len(response.results[x].score_rows) == 5
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assert len(response.results[x].score_rows) == 5
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def test_scoring_score_with_params_llm_as_judge(llama_stack_client, sample_judge_prompt_template, judge_model_id, test_dataset_rag):
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def test_scoring_score_with_params_llm_as_judge(
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llama_stack_client, sample_judge_prompt_template, judge_model_id, test_dataset_rag
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):
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# scoring individual rows
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# scoring individual rows
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rows = llama_stack_client.datasetio.get_rows_paginated(
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rows = llama_stack_client.datasetio.get_rows_paginated(
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dataset_id="test_dataset",
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dataset_id="test_dataset",
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