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https://github.com/hwchase17/langchain
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64 lines
1.5 KiB
Python
64 lines
1.5 KiB
Python
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"""Test Vertex AI embeddings API wrapper.
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"""
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from langchain_community.embeddings import VertexAIEmbeddings
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def test_split_by_punctuation() -> None:
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parts = VertexAIEmbeddings._split_by_punctuation(
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"Hello, my friend!\nHow are you?\nI have 2 news:\n\n\t- Good,\n\t- Bad."
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)
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assert parts == [
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"Hello",
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",",
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" ",
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"my",
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" ",
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"friend",
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"!",
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"\n",
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"How",
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" ",
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"are",
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" ",
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"you",
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"?",
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"\n",
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"I",
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" ",
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"have",
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" ",
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"2",
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" ",
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"news",
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":",
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"\n",
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"\n",
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"\t",
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"-",
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" ",
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"Good",
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",",
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"\n",
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"\t",
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"-",
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" ",
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"Bad",
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".",
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]
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def test_batching() -> None:
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long_text = "foo " * 500 # 1000 words, 2000 tokens
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long_texts = [long_text for _ in range(0, 250)]
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documents251 = ["foo bar" for _ in range(0, 251)]
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five_elem = VertexAIEmbeddings._prepare_batches(long_texts, 5)
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default250_elem = VertexAIEmbeddings._prepare_batches(long_texts, 250)
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batches251 = VertexAIEmbeddings._prepare_batches(documents251, 250)
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assert len(five_elem) == 50 # 250/5 items
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assert len(five_elem[0]) == 5 # 5 items per batch
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assert len(default250_elem[0]) == 10 # Should not be more than 20K tokens
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assert len(default250_elem) == 25
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assert len(batches251[0]) == 250
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assert len(batches251[1]) == 1
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