langchain/libs/community/tests/unit_tests/retrievers/test_you.py

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from unittest.mock import AsyncMock, patch
import pytest
community: Add you.com utility, update you retriever integration docs (#17014) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description: changes to you.com files** - general cleanup - adds community/utilities/you.py, moving bulk of code from retriever -> utility - removes `snippet` as endpoint - adds `news` as endpoint - adds more tests <s>**Description: update community MAKE file** - adds `integration_tests` - adds `coverage`</s> - **Issue:** the issue # it fixes if applicable, - [For New Contributors: Update Integration Documentation](https://github.com/langchain-ai/langchain/issues/15664#issuecomment-1920099868) - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-02-08 21:47:50 +00:00
import responses
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) 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
2023-12-11 21:53:30 +00:00
from langchain_community.retrievers.you import YouRetriever
community: Add you.com utility, update you retriever integration docs (#17014) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description: changes to you.com files** - general cleanup - adds community/utilities/you.py, moving bulk of code from retriever -> utility - removes `snippet` as endpoint - adds `news` as endpoint - adds more tests <s>**Description: update community MAKE file** - adds `integration_tests` - adds `coverage`</s> - **Issue:** the issue # it fixes if applicable, - [For New Contributors: Update Integration Documentation](https://github.com/langchain-ai/langchain/issues/15664#issuecomment-1920099868) - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-02-08 21:47:50 +00:00
from ..utilities.test_you import (
LIMITED_PARSED_OUTPUT,
MOCK_PARSED_OUTPUT,
MOCK_RESPONSE_RAW,
NEWS_RESPONSE_PARSED,
NEWS_RESPONSE_RAW,
TEST_ENDPOINT,
)
class TestYouRetriever:
community: Add you.com utility, update you retriever integration docs (#17014) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description: changes to you.com files** - general cleanup - adds community/utilities/you.py, moving bulk of code from retriever -> utility - removes `snippet` as endpoint - adds `news` as endpoint - adds more tests <s>**Description: update community MAKE file** - adds `integration_tests` - adds `coverage`</s> - **Issue:** the issue # it fixes if applicable, - [For New Contributors: Update Integration Documentation](https://github.com/langchain-ai/langchain/issues/15664#issuecomment-1920099868) - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-02-08 21:47:50 +00:00
@responses.activate
def test_get_relevant_documents(self) -> None:
community: Add you.com utility, update you retriever integration docs (#17014) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description: changes to you.com files** - general cleanup - adds community/utilities/you.py, moving bulk of code from retriever -> utility - removes `snippet` as endpoint - adds `news` as endpoint - adds more tests <s>**Description: update community MAKE file** - adds `integration_tests` - adds `coverage`</s> - **Issue:** the issue # it fixes if applicable, - [For New Contributors: Update Integration Documentation](https://github.com/langchain-ai/langchain/issues/15664#issuecomment-1920099868) - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-02-08 21:47:50 +00:00
responses.add(
responses.GET, f"{TEST_ENDPOINT}/search", json=MOCK_RESPONSE_RAW, status=200
)
query = "Test query text"
you_wrapper = YouRetriever(ydc_api_key="test")
results = you_wrapper.get_relevant_documents(query)
expected_result = MOCK_PARSED_OUTPUT
assert results == expected_result
@responses.activate
def test_invoke(self) -> None:
responses.add(
responses.GET, f"{TEST_ENDPOINT}/search", json=MOCK_RESPONSE_RAW, status=200
)
query = "Test query text"
you_wrapper = YouRetriever(ydc_api_key="test")
results = you_wrapper.invoke(query)
expected_result = MOCK_PARSED_OUTPUT
assert results == expected_result
@responses.activate
def test_invoke_max_docs(self) -> None:
responses.add(
responses.GET, f"{TEST_ENDPOINT}/search", json=MOCK_RESPONSE_RAW, status=200
)
query = "Test query text"
you_wrapper = YouRetriever(k=2, ydc_api_key="test")
results = you_wrapper.invoke(query)
expected_result = [MOCK_PARSED_OUTPUT[0], MOCK_PARSED_OUTPUT[1]]
assert results == expected_result
@responses.activate
def test_invoke_limit_snippets(self) -> None:
responses.add(
responses.GET, f"{TEST_ENDPOINT}/search", json=MOCK_RESPONSE_RAW, status=200
)
query = "Test query text"
you_wrapper = YouRetriever(n_snippets_per_hit=1, ydc_api_key="test")
results = you_wrapper.results(query)
expected_result = LIMITED_PARSED_OUTPUT
assert results == expected_result
@responses.activate
def test_invoke_news(self) -> None:
responses.add(
responses.GET, f"{TEST_ENDPOINT}/news", json=NEWS_RESPONSE_RAW, status=200
)
query = "Test news text"
# ensure limit on number of docs returned
you_wrapper = YouRetriever(endpoint_type="news", ydc_api_key="test")
results = you_wrapper.results(query)
expected_result = NEWS_RESPONSE_PARSED
assert results == expected_result
@pytest.mark.asyncio
async def test_aget_relevant_documents(self) -> None:
instance = YouRetriever(ydc_api_key="test_api_key")
# Mock response object to simulate aiohttp response
mock_response = AsyncMock()
mock_response.__aenter__.return_value = (
mock_response # Make the context manager return itself
)
mock_response.__aexit__.return_value = None # No value needed for exit
mock_response.status = 200
mock_response.json = AsyncMock(return_value=MOCK_RESPONSE_RAW)
# Patch the aiohttp.ClientSession object
with patch("aiohttp.ClientSession.get", return_value=mock_response):
results = await instance.aget_relevant_documents("test query")
assert results == MOCK_PARSED_OUTPUT
@pytest.mark.asyncio
async def test_ainvoke(self) -> None:
instance = YouRetriever(ydc_api_key="test_api_key")
# Mock response object to simulate aiohttp response
mock_response = AsyncMock()
mock_response.__aenter__.return_value = (
mock_response # Make the context manager return itself
)
mock_response.__aexit__.return_value = None # No value needed for exit
mock_response.status = 200
mock_response.json = AsyncMock(return_value=MOCK_RESPONSE_RAW)
# Patch the aiohttp.ClientSession object
with patch("aiohttp.ClientSession.get", return_value=mock_response):
results = await instance.ainvoke("test query")
assert results == MOCK_PARSED_OUTPUT