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46da187c07
# What does this PR do? #1161 updated the embedding signature making the nested list tests irrelevant
98 lines
3 KiB
Python
98 lines
3 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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#
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# Test plan:
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#
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# Types of input:
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# - array of a string
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# - array of a image (ImageContentItem, either URL or base64 string)
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# - array of a text (TextContentItem)
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# Types of output:
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# - list of list of floats
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#
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# Todo:
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# - negative tests
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# - empty
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# - empty list
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# - empty string
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# - empty text
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# - empty image
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# - long
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# - long string
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# - long text
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# - large image
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# - appropriate combinations
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# - batch size
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# - many inputs
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# - invalid
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# - invalid URL
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# - invalid base64
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#
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# Notes:
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# - use llama_stack_client fixture
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# - use pytest.mark.parametrize when possible
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# - no accuracy tests: only check the type of output, not the content
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#
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import pytest
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from llama_stack_client.types import EmbeddingsResponse
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from llama_stack_client.types.shared.interleaved_content import (
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ImageContentItem,
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ImageContentItemImage,
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ImageContentItemImageURL,
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TextContentItem,
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)
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DUMMY_STRING = "hello"
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DUMMY_STRING2 = "world"
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DUMMY_TEXT = TextContentItem(text=DUMMY_STRING, type="text")
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DUMMY_TEXT2 = TextContentItem(text=DUMMY_STRING2, type="text")
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# TODO(mf): add a real image URL and base64 string
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DUMMY_IMAGE_URL = ImageContentItem(
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image=ImageContentItemImage(url=ImageContentItemImageURL(uri="https://example.com/image.jpg")), type="image"
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)
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DUMMY_IMAGE_BASE64 = ImageContentItem(image=ImageContentItemImage(data="base64string"), type="image")
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@pytest.mark.parametrize(
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"contents",
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[
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[DUMMY_STRING, DUMMY_STRING2],
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[DUMMY_TEXT, DUMMY_TEXT2],
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],
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ids=[
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"list[string]",
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"list[text]",
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],
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)
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def test_embedding_text(llama_stack_client, embedding_model_id, contents):
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response = llama_stack_client.inference.embeddings(model_id=embedding_model_id, contents=contents)
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assert isinstance(response, EmbeddingsResponse)
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assert len(response.embeddings) == sum(len(content) if isinstance(content, list) else 1 for content in contents)
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assert isinstance(response.embeddings[0], list)
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assert isinstance(response.embeddings[0][0], float)
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@pytest.mark.parametrize(
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"contents",
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[
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[DUMMY_IMAGE_URL, DUMMY_IMAGE_BASE64],
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[DUMMY_IMAGE_URL, DUMMY_STRING, DUMMY_IMAGE_BASE64, DUMMY_TEXT],
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],
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ids=[
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"list[url,base64]",
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"list[url,string,base64,text]",
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],
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)
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@pytest.mark.skip(reason="Media is not supported")
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def test_embedding_image(llama_stack_client, embedding_model_id, contents):
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response = llama_stack_client.inference.embeddings(model_id=embedding_model_id, contents=contents)
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assert isinstance(response, EmbeddingsResponse)
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assert len(response.embeddings) == sum(len(content) if isinstance(content, list) else 1 for content in contents)
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assert isinstance(response.embeddings[0], list)
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assert isinstance(response.embeddings[0][0], float)
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