mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
"""Test dashscope embeddings."""
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import numpy as np
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from langchain_community.embeddings.dashscope import DashScopeEmbeddings
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def test_dashscope_embedding_documents() -> None:
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"""Test dashscope embeddings."""
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documents = ["foo bar"]
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embedding = DashScopeEmbeddings(model="text-embedding-v1")
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output = embedding.embed_documents(documents)
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assert len(output) == 1
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assert len(output[0]) == 1536
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def test_dashscope_embedding_documents_multiple() -> None:
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"""Test dashscope embeddings."""
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documents = ["foo bar", "bar foo", "foo"]
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embedding = DashScopeEmbeddings(model="text-embedding-v1")
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output = embedding.embed_documents(documents)
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assert len(output) == 3
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assert len(output[0]) == 1536
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assert len(output[1]) == 1536
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assert len(output[2]) == 1536
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def test_dashscope_embedding_query() -> None:
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"""Test dashscope embeddings."""
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document = "foo bar"
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embedding = DashScopeEmbeddings(model="text-embedding-v1")
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output = embedding.embed_query(document)
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assert len(output) == 1536
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def test_dashscope_embedding_with_empty_string() -> None:
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"""Test dashscope embeddings with empty string."""
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import dashscope
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document = ["", "abc"]
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embedding = DashScopeEmbeddings(model="text-embedding-v1")
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output = embedding.embed_documents(document)
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assert len(output) == 2
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assert len(output[0]) == 1536
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expected_output = dashscope.TextEmbedding.call(
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input="", model="text-embedding-v1", text_type="document"
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).output["embeddings"][0]["embedding"]
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assert np.allclose(output[0], expected_output)
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assert len(output[1]) == 1536
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if __name__ == "__main__":
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test_dashscope_embedding_documents()
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test_dashscope_embedding_documents_multiple()
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test_dashscope_embedding_query()
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test_dashscope_embedding_with_empty_string()
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