langchain/libs/community/tests/integration_tests/embeddings/test_qianfan_endpoint.py
Erick Friis c2a3021bb0
multiple: pydantic 2 compatibility, v0.3 (#26443)
Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
2024-09-13 14:38:45 -07:00

59 lines
1.8 KiB
Python

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