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feat: D69478008 [llama-stack] turning tests into data-driven (#1180)
# What does this PR do? We have several places running tests for different purposes. - oss llama stack - provider tests - e2e tests - provider llama stack - unit tests - e2e tests It would be nice if they can *share the same set of test data*, so we maintain the consistency between spec and implementation. This is what this diff is about, isolating test data from test coding, so that we can reuse the same data at different places by writing different test coding. ## Test Plan == Set up Ollama local server == Run a provider test conda activate stack OLLAMA_URL="http://localhost:8321" \ pytest -v -s -k "ollama" --inference-model="llama3.2:3b-instruct-fp16" \ llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion_structured_output // test_structured_output should also work == Run an e2e test conda activate sherpa with-proxy pip install llama-stack export INFERENCE_MODEL=llama3.2:3b-instruct-fp16 export LLAMA_STACK_PORT=8322 with-proxy llama stack build --template ollama with-proxy llama stack run --env OLLAMA_URL=http://localhost:8321 ollama - Run test client, LLAMA_STACK_PORT=8322 LLAMA_STACK_BASE_URL="http://localhost:8322" \ pytest -v -s --inference-model="llama3.2:3b-instruct-fp16" \ tests/client-sdk/inference/test_text_inference.py::test_text_completion_structured_output // test_text_chat_completion_structured_output should also work ## Notes - This PR was automatically generated by oss_sync - Please refer to D69478008 for more details.
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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 os
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from typing import Any, Dict
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from pydantic import BaseModel
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@ -12,7 +13,7 @@ DEFAULT_OLLAMA_URL = "http://localhost:11434"
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class OllamaImplConfig(BaseModel):
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url: str = DEFAULT_OLLAMA_URL
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url: str = os.getenv("OLLAMA_URL", DEFAULT_OLLAMA_URL)
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@classmethod
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def sample_run_config(cls, url: str = "${env.OLLAMA_URL:http://localhost:11434}", **kwargs) -> Dict[str, Any]:
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