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- **Description:** Standardize QianfanEmbeddingsEndpoint, include: - docstrings, the issue #21983 - model init arg names, the issue #20085
59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
"""Test Baidu Qianfan Embedding Endpoint."""
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from typing import cast
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from langchain_core.pydantic_v1 import SecretStr
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from langchain_community.embeddings.baidu_qianfan_endpoint import (
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QianfanEmbeddingsEndpoint,
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)
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def test_embedding_multiple_documents() -> None:
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documents = ["foo", "bar"]
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embedding = QianfanEmbeddingsEndpoint() # type: ignore[call-arg]
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output = embedding.embed_documents(documents)
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assert len(output) == 2
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assert len(output[0]) == 384
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assert len(output[1]) == 384
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def test_embedding_query() -> None:
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query = "foo"
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embedding = QianfanEmbeddingsEndpoint() # type: ignore[call-arg]
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output = embedding.embed_query(query)
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assert len(output) == 384
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def test_model() -> None:
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documents = ["hi", "qianfan"]
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embedding = QianfanEmbeddingsEndpoint(model="Embedding-V1") # type: ignore[call-arg]
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output = embedding.embed_documents(documents)
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assert len(output) == 2
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def test_rate_limit() -> None:
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llm = QianfanEmbeddingsEndpoint( # type: ignore[call-arg]
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model="Embedding-V1", init_kwargs={"query_per_second": 2}
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)
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assert llm.client._client._rate_limiter._sync_limiter._query_per_second == 2
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documents = ["foo", "bar"]
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output = llm.embed_documents(documents)
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assert len(output) == 2
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assert len(output[0]) == 384
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assert len(output[1]) == 384
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def test_initialization_with_alias() -> None:
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"""Test qianfan embedding model initialization with alias."""
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api_key = "your-api-key"
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secret_key = "your-secret-key"
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embeddings = QianfanEmbeddingsEndpoint( # type: ignore[arg-type, call-arg]
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api_key=api_key, # type: ignore[arg-type]
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secret_key=secret_key, # type: ignore[arg-type]
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)
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assert cast(SecretStr, embeddings.qianfan_ak).get_secret_value() == api_key
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assert cast(SecretStr, embeddings.qianfan_sk).get_secret_value() == secret_key
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