mirror of
https://github.com/meta-llama/llama-stack.git
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98811cc034
# What does this PR do?
- Clean up dead SDK code in
https://github.com/meta-llama/llama-stack-client-python/pull/198
- Regen for local cache key issue
[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])
## Test Plan
```
pytest -v -s --nbval-lax ./docs/getting_started.ipynb
LLAMA_STACK_CONFIG=fireworks pytest -v tests/integration/ --text-model meta-llama/Llama-3.3-70B-Instruct
```
- CI:
1382351211
<img width="1658" alt="image"
src="https://github.com/user-attachments/assets/1a2de383-35a2-47a0-8d80-d666d4970c34"
/>
[//]: # (## Documentation)
114 lines
3.6 KiB
Python
114 lines
3.6 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 base64
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import mimetypes
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import os
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from pathlib import Path
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import pytest
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# How to run this test:
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#
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# LLAMA_STACK_CONFIG="template-name" pytest -v tests/integration/datasetio
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@pytest.fixture
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def dataset_for_test(llama_stack_client):
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dataset_id = "test_dataset"
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register_dataset(llama_stack_client, dataset_id=dataset_id)
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yield
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# Teardown - this always runs, even if the test fails
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try:
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llama_stack_client.datasets.unregister(dataset_id)
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except Exception as e:
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print(f"Warning: Failed to unregister test_dataset: {e}")
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def data_url_from_file(file_path: str) -> str:
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if not os.path.exists(file_path):
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raise FileNotFoundError(f"File not found: {file_path}")
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with open(file_path, "rb") as file:
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file_content = file.read()
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base64_content = base64.b64encode(file_content).decode("utf-8")
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mime_type, _ = mimetypes.guess_type(file_path)
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data_url = f"data:{mime_type};base64,{base64_content}"
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return data_url
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def register_dataset(llama_stack_client, for_generation=False, for_rag=False, dataset_id="test_dataset"):
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if for_rag:
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test_file = Path(os.path.abspath(__file__)).parent / "test_rag_dataset.csv"
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else:
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test_file = Path(os.path.abspath(__file__)).parent / "test_dataset.csv"
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test_url = data_url_from_file(str(test_file))
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if for_generation:
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dataset_schema = {
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"expected_answer": {"type": "string"},
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"input_query": {"type": "string"},
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"chat_completion_input": {"type": "chat_completion_input"},
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}
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elif for_rag:
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dataset_schema = {
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"expected_answer": {"type": "string"},
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"input_query": {"type": "string"},
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"generated_answer": {"type": "string"},
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"context": {"type": "string"},
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}
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else:
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dataset_schema = {
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"expected_answer": {"type": "string"},
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"input_query": {"type": "string"},
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"generated_answer": {"type": "string"},
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}
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dataset_providers = [x for x in llama_stack_client.providers.list() if x.api == "datasetio"]
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dataset_provider_id = dataset_providers[0].provider_id
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llama_stack_client.datasets.register(
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dataset_id=dataset_id,
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dataset_schema=dataset_schema,
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url=dict(uri=test_url),
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provider_id=dataset_provider_id,
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)
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def test_register_unregister_dataset(llama_stack_client):
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register_dataset(llama_stack_client)
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response = llama_stack_client.datasets.list()
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assert isinstance(response, list)
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assert len(response) == 1
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assert response[0].identifier == "test_dataset"
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llama_stack_client.datasets.unregister("test_dataset")
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response = llama_stack_client.datasets.list()
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assert isinstance(response, list)
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assert len(response) == 0
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def test_get_rows_paginated(llama_stack_client, dataset_for_test):
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response = llama_stack_client.datasetio.get_rows_paginated(
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dataset_id="test_dataset",
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rows_in_page=3,
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)
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assert isinstance(response.rows, list)
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assert len(response.rows) == 3
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assert response.next_page_token == "3"
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# iterate over all rows
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response = llama_stack_client.datasetio.get_rows_paginated(
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dataset_id="test_dataset",
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rows_in_page=2,
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page_token=response.next_page_token,
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)
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assert isinstance(response.rows, list)
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assert len(response.rows) == 2
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assert response.next_page_token == "5"
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