mirror of
https://github.com/meta-llama/llama-stack.git
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79 lines
2 KiB
Python
79 lines
2 KiB
Python
import os
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import re
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import signal
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import subprocess
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import time
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import pytest
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# Inference provider and the required environment arg for running integration tests
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INFERENCE_PROVIDER_ENV_KEY = {
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"ollama": None,
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"fireworks": "FIREWORKS_API_KEY",
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"together": "TOGETHER_API_KEY",
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}
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# Model category and the keywords of the corresponding functionality tests
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CATEGORY_FUNCTIONALITY_TESTS = {
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"text": ["streaming", "tool_calling", "structured_output"],
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"vision": [
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"streaming",
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],
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}
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def generate_pytest_args(category, provider, env_key):
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test_path = (
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"./llama_stack/providers/tests/inference/test_{model_type}_inference.py".format(
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model_type=category
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)
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)
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pytest_args = [
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test_path,
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"-v",
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"-s",
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"-k",
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provider,
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]
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if env_key is not None:
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pytest_args.extend(
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[
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"--env",
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"{key_name}={key_value}".format(
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key_name=env_key, key_value=os.getenv(env_key)
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),
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]
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)
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return pytest_args
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def main():
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test_result = []
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for model_category, functionality_tests in CATEGORY_FUNCTIONALITY_TESTS.items():
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for provider, env_key in INFERENCE_PROVIDER_ENV_KEY.items():
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if provider == "ollama":
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proc = subprocess.Popen(
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[
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"ollama",
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"run",
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(
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"llama3.1:8b-instruct-fp16"
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if model_category == "text"
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else "llama3.2-vision"
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),
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]
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)
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retcode = pytest.main(
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generate_pytest_args(model_category, provider, env_key)
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)
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proc.terminate()
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else:
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retcode = pytest.main(
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generate_pytest_args(model_category, provider, env_key)
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)
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if __name__ == "__main__":
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main()
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