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# What does this PR do? simplify Ollama inference adapter by - - moving image_url download code to OpenAIMixin - being a ModelRegistryHelper instead of having one (mypy blocks check_model_availability method assignment) ## Test Plan - add unit tests for new download feature - add integration tests for openai_chat_completion w/ image_url (close test gap)
77 lines
2.1 KiB
Python
77 lines
2.1 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 pathlib
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import pytest
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@pytest.fixture
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def image_path():
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return pathlib.Path(__file__).parent / "dog.png"
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@pytest.fixture
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def base64_image_data(image_path):
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return base64.b64encode(image_path.read_bytes()).decode("utf-8")
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async def test_openai_chat_completion_image_url(openai_client, vision_model_id):
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message = {
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/meta-llama/llama-stack/main/tests/integration/inference/dog.png"
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},
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},
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{
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"type": "text",
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"text": "Describe what is in this image.",
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},
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],
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}
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response = openai_client.chat.completions.create(
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model=vision_model_id,
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messages=[message],
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stream=False,
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)
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message_content = response.choices[0].message.content.lower().strip()
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assert len(message_content) > 0
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assert any(expected in message_content for expected in {"dog", "puppy", "pup"})
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async def test_openai_chat_completion_image_data(openai_client, vision_model_id, base64_image_data):
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message = {
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/png;base64,{base64_image_data}",
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},
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},
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{
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"type": "text",
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"text": "Describe what is in this image.",
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},
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],
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}
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response = openai_client.chat.completions.create(
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model=vision_model_id,
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messages=[message],
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stream=False,
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)
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message_content = response.choices[0].message.content.lower().strip()
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assert len(message_content) > 0
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assert any(expected in message_content for expected in {"dog", "puppy", "pup"})
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