mirror of
https://github.com/hwchase17/langchain
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38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
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"""Test embeddings model integration."""
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from langchain_core.pydantic_v1 import SecretStr
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from pytest import CaptureFixture
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from langchain_google_genai.embeddings import GoogleGenerativeAIEmbeddings
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def test_integration_initialization() -> None:
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"""Test chat model initialization."""
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GoogleGenerativeAIEmbeddings(
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model="models/embedding-001",
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google_api_key="...",
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)
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GoogleGenerativeAIEmbeddings(
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model="models/embedding-001",
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google_api_key="...",
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task_type="retrieval_document",
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)
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def test_api_key_is_string() -> None:
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embeddings = GoogleGenerativeAIEmbeddings(
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model="models/embedding-001",
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google_api_key="secret-api-key",
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)
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assert isinstance(embeddings.google_api_key, SecretStr)
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def test_api_key_masked_when_passed_via_constructor(capsys: CaptureFixture) -> None:
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embeddings = GoogleGenerativeAIEmbeddings(
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model="models/embedding-001",
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google_api_key="secret-api-key",
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)
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print(embeddings.google_api_key, end="")
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captured = capsys.readouterr()
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assert captured.out == "**********"
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