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9e73341008
# What does this PR do? quick fix as the vision_inference test dog.jpg path has been changed. [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan [Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.*] [//]: # (## Documentation)
125 lines
3.7 KiB
Python
125 lines
3.7 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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# Convert the image to base64
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return base64.b64encode(image_path.read_bytes()).decode("utf-8")
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@pytest.fixture
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def base64_image_url(base64_image_data, image_path):
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# suffix includes the ., so we remove it
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return f"data:image/{image_path.suffix[1:]};base64,{base64_image_data}"
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@pytest.mark.xfail(reason="This test is failing because the image is not being downloaded correctly.")
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def test_image_chat_completion_non_streaming(client_with_models, 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",
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"image": {
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"url": {
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"uri": "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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{
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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 = client_with_models.inference.chat_completion(
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model_id=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.completion_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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@pytest.mark.xfail(reason="This test is failing because the image is not being downloaded correctly.")
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def test_image_chat_completion_streaming(client_with_models, 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",
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"image": {
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"url": {
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"uri": "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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{
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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 = client_with_models.inference.chat_completion(
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model_id=vision_model_id,
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messages=[message],
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stream=True,
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)
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streamed_content = ""
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for chunk in response:
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streamed_content += chunk.event.delta.text.lower()
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assert len(streamed_content) > 0
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assert any(expected in streamed_content for expected in {"dog", "puppy", "pup"})
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@pytest.mark.parametrize("type_", ["url", "data"])
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def test_image_chat_completion_base64(client_with_models, vision_model_id, base64_image_data, base64_image_url, type_):
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image_spec = {
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"url": {
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"type": "image",
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"image": {
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"url": {
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"uri": base64_image_url,
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},
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},
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},
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"data": {
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"type": "image",
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"image": {
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"data": base64_image_data,
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},
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},
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}[type_]
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message = {
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"role": "user",
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"content": [
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image_spec,
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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 = client_with_models.inference.chat_completion(
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model_id=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.completion_message.content.lower().strip()
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assert len(message_content) > 0
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