mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +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
|
|
|
|
from pytest_mock import MockerFixture
|
|
|
|
from langchain_community.embeddings import InfinityEmbeddings
|
|
|
|
_MODEL_ID = "BAAI/bge-small"
|
|
_INFINITY_BASE_URL = "https://localhost/api"
|
|
_DOCUMENTS = [
|
|
"pizza",
|
|
"another pizza",
|
|
"a document",
|
|
"another pizza",
|
|
"super long document with many tokens",
|
|
]
|
|
|
|
|
|
class MockResponse:
|
|
def __init__(self, json_data: Dict, status_code: int):
|
|
self.json_data = json_data
|
|
self.status_code = status_code
|
|
|
|
def json(self) -> Dict:
|
|
return self.json_data
|
|
|
|
|
|
def mocked_requests_post(
|
|
url: str,
|
|
headers: dict,
|
|
json: dict,
|
|
) -> MockResponse:
|
|
assert url.startswith(_INFINITY_BASE_URL)
|
|
assert "model" in json and _MODEL_ID in json["model"]
|
|
assert json
|
|
assert headers
|
|
|
|
assert "input" in json and isinstance(json["input"], list)
|
|
embeddings = []
|
|
for inp in json["input"]:
|
|
# verify correct ordering
|
|
if "pizza" in inp:
|
|
v = [1.0, 0.0, 0.0]
|
|
elif "document" in inp:
|
|
v = [0.0, 0.9, 0.0]
|
|
else:
|
|
v = [0.0, 0.0, -1.0]
|
|
if len(inp) > 10:
|
|
v[2] += 0.1
|
|
embeddings.append({"embedding": v})
|
|
|
|
return MockResponse(
|
|
json_data={"data": embeddings},
|
|
status_code=200,
|
|
)
|
|
|
|
|
|
def test_infinity_emb_sync(
|
|
mocker: MockerFixture,
|
|
) -> None:
|
|
mocker.patch("requests.post", side_effect=mocked_requests_post)
|
|
|
|
embedder = InfinityEmbeddings(model=_MODEL_ID, infinity_api_url=_INFINITY_BASE_URL)
|
|
|
|
assert embedder.infinity_api_url == _INFINITY_BASE_URL
|
|
assert embedder.model == _MODEL_ID
|
|
|
|
response = embedder.embed_documents(_DOCUMENTS)
|
|
want = [
|
|
[1.0, 0.0, 0.0], # pizza
|
|
[1.0, 0.0, 0.1], # pizza + long
|
|
[0.0, 0.9, 0.0], # doc
|
|
[1.0, 0.0, 0.1], # pizza + long
|
|
[0.0, 0.9, 0.1], # doc + long
|
|
]
|
|
|
|
assert response == want
|
|
|
|
|
|
def test_infinity_large_batch_size(
|
|
mocker: MockerFixture,
|
|
) -> None:
|
|
mocker.patch("requests.post", side_effect=mocked_requests_post)
|
|
|
|
embedder = InfinityEmbeddings(
|
|
infinity_api_url=_INFINITY_BASE_URL,
|
|
model=_MODEL_ID,
|
|
)
|
|
|
|
assert embedder.infinity_api_url == _INFINITY_BASE_URL
|
|
assert embedder.model == _MODEL_ID
|
|
|
|
response = embedder.embed_documents(_DOCUMENTS * 1024)
|
|
want = [
|
|
[1.0, 0.0, 0.0], # pizza
|
|
[1.0, 0.0, 0.1], # pizza + long
|
|
[0.0, 0.9, 0.0], # doc
|
|
[1.0, 0.0, 0.1], # pizza + long
|
|
[0.0, 0.9, 0.1], # doc + long
|
|
] * 1024
|
|
|
|
assert response == want
|