mirror of
https://github.com/hwchase17/langchain
synced 2024-11-11 19:11:02 +00:00
f92006de3c
0.2rc migrations - [x] Move memory - [x] Move remaining retrievers - [x] graph_qa chains - [x] some dependency from evaluation code potentially on math utils - [x] Move openapi chain from `langchain.chains.api.openapi` to `langchain_community.chains.openapi` - [x] Migrate `langchain.chains.ernie_functions` to `langchain_community.chains.ernie_functions` - [x] migrate `langchain/chains/llm_requests.py` to `langchain_community.chains.llm_requests` - [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder` -> `langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder` (namespace not ideal, but it needs to be moved to `langchain` to avoid circular deps) - [x] unit tests langchain -- add pytest.mark.community to some unit tests that will stay in langchain - [x] unit tests community -- move unit tests that depend on community to community - [x] mv integration tests that depend on community to community - [x] mypy checks Other todo - [x] Make deprecation warnings not noisy (need to use warn deprecated and check that things are implemented properly) - [x] Update deprecation messages with timeline for code removal (likely we actually won't be removing things until 0.4 release) -- will give people more time to transition their code. - [ ] Add information to deprecation warning to show users how to migrate their code base using langchain-cli - [ ] Remove any unnecessary requirements in langchain (e.g., is SQLALchemy required?) --------- Co-authored-by: Erick Friis <erick@langchain.dev>
64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
import asyncio
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import json
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from typing import Any
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from unittest import mock
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from langchain_core.documents import Document
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from langchain_community.document_transformers.nuclia_text_transform import (
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NucliaTextTransformer,
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)
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from langchain_community.tools.nuclia.tool import NucliaUnderstandingAPI
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def fakerun(**args: Any) -> Any:
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async def run(self: Any, **args: Any) -> str:
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await asyncio.sleep(0.1)
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data = {
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"extracted_text": [{"body": {"text": "Hello World"}}],
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"file_extracted_data": [{"language": "en"}],
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"field_metadata": [
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{
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"metadata": {
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"metadata": {
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"paragraphs": [
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{"end": 66, "sentences": [{"start": 1, "end": 67}]}
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]
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}
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}
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}
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],
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}
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return json.dumps(data)
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return run
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async def test_nuclia_loader() -> None:
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with mock.patch(
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"langchain_community.tools.nuclia.tool.NucliaUnderstandingAPI._arun",
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new_callable=fakerun,
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):
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with mock.patch("os.environ.get", return_value="_a_key_"):
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nua = NucliaUnderstandingAPI(enable_ml=False)
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documents = [
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Document(page_content="Hello, my name is Alice", metadata={}),
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Document(page_content="Hello, my name is Bob", metadata={}),
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]
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nuclia_transformer = NucliaTextTransformer(nua)
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transformed_documents = await nuclia_transformer.atransform_documents(
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documents
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)
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assert len(transformed_documents) == 2
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assert (
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transformed_documents[0].metadata["nuclia"]["file"]["language"] == "en"
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)
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assert (
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len(
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transformed_documents[1].metadata["nuclia"]["metadata"]["metadata"][
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"metadata"
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]["paragraphs"]
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)
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== 1
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)
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