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https://github.com/hwchase17/langchain.git
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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>
106 lines
3.4 KiB
Python
106 lines
3.4 KiB
Python
"""Test LLM Math functionality."""
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import json
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from typing import Any
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import pytest
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from langchain.chains.api.base import APIChain
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from langchain.chains.api.prompt import API_RESPONSE_PROMPT, API_URL_PROMPT
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from langchain.chains.llm import LLMChain
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from langchain_community.utilities.requests import TextRequestsWrapper
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from tests.unit_tests.llms.fake_llm import FakeLLM
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class FakeRequestsChain(TextRequestsWrapper):
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"""Fake requests chain just for testing purposes."""
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output: str
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def get(self, url: str, **kwargs: Any) -> str:
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"""Just return the specified output."""
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return self.output
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def get_test_api_data() -> dict:
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"""Fake api data to use for testing."""
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api_docs = """
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This API endpoint will search the notes for a user.
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Endpoint: https://thisapidoesntexist.com
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GET /api/notes
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Query parameters:
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q | string | The search term for notes
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"""
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return {
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"api_docs": api_docs,
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"question": "Search for notes containing langchain",
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"api_url": "https://thisapidoesntexist.com/api/notes?q=langchain",
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"api_response": json.dumps(
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{
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"success": True,
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"results": [{"id": 1, "content": "Langchain is awesome!"}],
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}
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),
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"api_summary": "There is 1 note about langchain.",
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}
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def get_api_chain(**kwargs: Any) -> APIChain:
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"""Fake LLM API chain for testing."""
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data = get_test_api_data()
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test_api_docs = data["api_docs"]
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test_question = data["question"]
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test_url = data["api_url"]
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test_api_response = data["api_response"]
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test_api_summary = data["api_summary"]
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api_url_query_prompt = API_URL_PROMPT.format(
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api_docs=test_api_docs, question=test_question
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)
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api_response_prompt = API_RESPONSE_PROMPT.format(
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api_docs=test_api_docs,
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question=test_question,
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api_url=test_url,
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api_response=test_api_response,
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)
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queries = {api_url_query_prompt: test_url, api_response_prompt: test_api_summary}
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fake_llm = FakeLLM(queries=queries)
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api_request_chain = LLMChain(llm=fake_llm, prompt=API_URL_PROMPT)
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api_answer_chain = LLMChain(llm=fake_llm, prompt=API_RESPONSE_PROMPT)
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requests_wrapper = FakeRequestsChain(output=test_api_response)
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return APIChain(
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api_request_chain=api_request_chain,
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api_answer_chain=api_answer_chain,
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requests_wrapper=requests_wrapper,
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api_docs=test_api_docs,
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**kwargs,
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)
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def test_api_question() -> None:
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"""Test simple question that needs API access."""
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with pytest.raises(ValueError):
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get_api_chain()
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with pytest.raises(ValueError):
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get_api_chain(limit_to_domains=tuple())
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# All domains allowed (not advised)
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api_chain = get_api_chain(limit_to_domains=None)
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data = get_test_api_data()
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assert api_chain.run(data["question"]) == data["api_summary"]
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# Use a domain that's allowed
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api_chain = get_api_chain(
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limit_to_domains=["https://thisapidoesntexist.com/api/notes?q=langchain"]
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)
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# Attempts to make a request against a domain that's not allowed
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assert api_chain.run(data["question"]) == data["api_summary"]
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# Use domains that are not valid
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api_chain = get_api_chain(limit_to_domains=["h", "*"])
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with pytest.raises(ValueError):
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# Attempts to make a request against a domain that's not allowed
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assert api_chain.run(data["question"]) == data["api_summary"]
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