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
102 lines
2.5 KiB
Python
102 lines
2.5 KiB
Python
from typing import Dict
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from pytest_mock import MockerFixture
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from langchain_community.embeddings import InfinityEmbeddings
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_MODEL_ID = "BAAI/bge-small"
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_INFINITY_BASE_URL = "https://localhost/api"
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_DOCUMENTS = [
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"pizza",
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"another pizza",
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"a document",
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"another pizza",
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"super long document with many tokens",
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]
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class MockResponse:
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def __init__(self, json_data: Dict, status_code: int):
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self.json_data = json_data
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self.status_code = status_code
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def json(self) -> Dict:
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return self.json_data
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def mocked_requests_post(
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url: str,
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headers: dict,
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json: dict,
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) -> MockResponse:
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assert url.startswith(_INFINITY_BASE_URL)
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assert "model" in json and _MODEL_ID in json["model"]
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assert json
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assert headers
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assert "input" in json and isinstance(json["input"], list)
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embeddings = []
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for inp in json["input"]:
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# verify correct ordering
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if "pizza" in inp:
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v = [1.0, 0.0, 0.0]
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elif "document" in inp:
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v = [0.0, 0.9, 0.0]
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else:
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v = [0.0, 0.0, -1.0]
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if len(inp) > 10:
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v[2] += 0.1
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embeddings.append({"embedding": v})
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return MockResponse(
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json_data={"data": embeddings},
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status_code=200,
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)
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def test_infinity_emb_sync(
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mocker: MockerFixture,
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) -> None:
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mocker.patch("requests.post", side_effect=mocked_requests_post)
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embedder = InfinityEmbeddings(model=_MODEL_ID, infinity_api_url=_INFINITY_BASE_URL)
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assert embedder.infinity_api_url == _INFINITY_BASE_URL
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assert embedder.model == _MODEL_ID
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response = embedder.embed_documents(_DOCUMENTS)
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want = [
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[1.0, 0.0, 0.0], # pizza
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[1.0, 0.0, 0.1], # pizza + long
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[0.0, 0.9, 0.0], # doc
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[1.0, 0.0, 0.1], # pizza + long
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[0.0, 0.9, 0.1], # doc + long
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]
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assert response == want
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def test_infinity_large_batch_size(
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mocker: MockerFixture,
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) -> None:
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mocker.patch("requests.post", side_effect=mocked_requests_post)
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embedder = InfinityEmbeddings(
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infinity_api_url=_INFINITY_BASE_URL,
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model=_MODEL_ID,
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)
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assert embedder.infinity_api_url == _INFINITY_BASE_URL
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assert embedder.model == _MODEL_ID
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response = embedder.embed_documents(_DOCUMENTS * 1024)
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want = [
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[1.0, 0.0, 0.0], # pizza
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[1.0, 0.0, 0.1], # pizza + long
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[0.0, 0.9, 0.0], # doc
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[1.0, 0.0, 0.1], # pizza + long
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[0.0, 0.9, 0.1], # doc + long
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] * 1024
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assert response == want
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