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55 lines
2.2 KiB
Python
55 lines
2.2 KiB
Python
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import os
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import pytest
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from haystack.components.embedders import AzureOpenAITextEmbedder
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class TestAzureOpenAITextEmbedder:
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def test_init_default(self, monkeypatch):
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monkeypatch.setenv("AZURE_OPENAI_API_KEY", "fake-api-key")
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embedder = AzureOpenAITextEmbedder(azure_endpoint="https://example-resource.azure.openai.com/")
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assert embedder._client.api_key == "fake-api-key"
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assert embedder.azure_deployment == "text-embedding-ada-002"
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assert embedder.organization is None
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assert embedder.prefix == ""
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assert embedder.suffix == ""
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def test_to_dict(self):
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component = AzureOpenAITextEmbedder(
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api_key="fake-api-key", azure_endpoint="https://example-resource.azure.openai.com/"
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)
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data = component.to_dict()
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assert data == {
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"type": "haystack.components.embedders.azure_text_embedder.AzureOpenAITextEmbedder",
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"init_parameters": {
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"azure_deployment": "text-embedding-ada-002",
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"organization": None,
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"azure_endpoint": "https://example-resource.azure.openai.com/",
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"api_version": "2023-05-15",
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"prefix": "",
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"suffix": "",
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},
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}
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@pytest.mark.integration
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@pytest.mark.skipif(
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not os.environ.get("AZURE_OPENAI_API_KEY", None) and not os.environ.get("AZURE_OPENAI_ENDPOINT", None),
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reason=(
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"Please export env variables called AZURE_OPENAI_API_KEY containing "
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"the Azure OpenAI key, AZURE_OPENAI_ENDPOINT containing "
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"the Azure OpenAI endpoint URL to run this test."
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),
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)
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def test_run(self):
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# the default model is text-embedding-ada-002 even if we don't specify it, but let's be explicit
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embedder = AzureOpenAITextEmbedder(
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azure_deployment="text-embedding-ada-002", prefix="prefix ", suffix=" suffix", organization="HaystackCI"
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)
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result = embedder.run(text="The food was delicious")
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assert len(result["embedding"]) == 1536
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assert all(isinstance(x, float) for x in result["embedding"])
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assert result["meta"] == {"model": "ada", "usage": {"prompt_tokens": 6, "total_tokens": 6}}
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