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docs: more standard test stubs (#28202)
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efriis authored Nov 19, 2024
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6 changes: 5 additions & 1 deletion docs/docs/contributing/how_to/index.mdx
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- [**Documentation**](documentation/index.mdx): Help improve our docs, including this one!
- [**Code**](code/index.mdx): Help us write code, fix bugs, or improve our infrastructure.
- [**Integrations**](integrations/index.mdx): Help us integrate with your favorite vendors and tools.

## Integrations

- [**Start Here**](integrations/index.mdx): Help us integrate with your favorite vendors and tools.
- [**Standard Tests**](integrations/standard_tests): Ensure your integration passes an expected set of tests.
141 changes: 121 additions & 20 deletions docs/docs/contributing/how_to/integrations/standard_tests.ipynb
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"source": [
"# How to add standard tests to an integration\n",
"\n",
"Implementing standard tests \n",
"\n",
"When creating either a custom class for yourself or a new tool to publish in a LangChain integration, it is important to add standard tests to ensure it works as expected. This guide will show you how to add standard tests to a tool, and the templates for implementing each different kind of integration are linked [at the bottom](#standard-test-templates-per-component).\n",
"When creating either a custom class for yourself or a new tool to publish in a LangChain integration, it is important to add standard tests to ensure it works as expected. This guide will show you how to add standard tests to a tool, and you can **[Skip to the test templates](#standard-test-templates-per-component)** for implementing tests for each integration.\n",
"\n",
"## Setup\n",
"\n",
Expand All @@ -20,7 +18,7 @@
":::note\n",
"\n",
"Because added tests in new versions of `langchain-tests` will always break your CI/CD pipelines, we recommend pinning the \n",
"version of `langchain-tests==0.3.0` to avoid unexpected changes.\n",
"version of `langchain-tests==0.3.2` to avoid unexpected changes.\n",
"\n",
":::"
]
Expand All @@ -31,7 +29,7 @@
"metadata": {},
"outputs": [],
"source": [
"%pip install -U langchain-core langchain-tests==0.3.0 pytest pytest-socket"
"%pip install -U langchain-core langchain-tests==0.3.2 pytest pytest-socket"
]
},
{
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"class TestChatParrotLinkUnit(ChatModelUnitTests):\n",
" @property\n",
" def chat_model_class(self) -> Type[ChatParrotLink]:\n",
" return ChatParrotLink"
" return ChatParrotLink\n",
"\n",
" @property\n",
" def chat_model_params(self) -> dict:\n",
" return {\"model\": \"bird-brain-001\", \"temperature\": 0}"
]
},
{
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"metadata": {},
"source": [
"</details>\n",
"\n",
"<div style={{display:\"none\"}}>\n",
"Work in progress:\n",
"<details>\n",
" <summary>Retrievers</summary>\n",
" TODO"
" <summary>Embedding Models</summary>"
]
},
{
"cell_type": "markdown",
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"</details>\n",
"<details>\n",
" <summary>Vector Stores</summary>\n",
" TODO"
"# title=\"tests/unit_tests/test_embeddings.py\"\n",
"from typing import Tuple, Type\n",
"\n",
"from langchain_parrot_link.embeddings import ParrotLinkEmbeddings\n",
"from langchain_standard_tests.unit_tests import EmbeddingsUnitTests\n",
"\n",
"\n",
"class TestParrotLinkEmbeddingsUnit(EmbeddingsUnitTests):\n",
" @property\n",
" def embeddings_class(self) -> Type[ParrotLinkEmbeddings]:\n",
" return ParrotLinkEmbeddings\n",
"\n",
" @property\n",
" def embedding_model_params(self) -> dict:\n",
" return {\"model\": \"nest-embed-001\", \"temperature\": 0}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# title=\"tests/integration_tests/test_embeddings.py\"\n",
"from typing import Type\n",
"\n",
"from langchain_parrot_link.embeddings import ParrotLinkEmbeddings\n",
"from langchain_standard_tests.integration_tests import EmbeddingsIntegrationTests\n",
"\n",
"\n",
"class TestParrotLinkEmbeddingsIntegration(EmbeddingsIntegrationTests):\n",
" @property\n",
" def embeddings_class(self) -> Type[ParrotLinkEmbeddings]:\n",
" return ParrotLinkEmbeddings\n",
"\n",
" @property\n",
" def embedding_model_params(self) -> dict:\n",
" return {\"model\": \"nest-embed-001\", \"temperature\": 0}"
]
},
{
Expand All @@ -272,16 +306,83 @@
"source": [
"</details>\n",
"<details>\n",
" <summary>Embedding Models</summary>\n",
" TODO"
" <summary>Tools/Toolkits</summary>\n",
" Note: The standard tests for tools/toolkits are implemented in the example in the main body of this guide too."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# title=\"tests/unit_tests/test_tools.py\"\n",
"from typing import Type\n",
"\n",
"from langchain_parrot_link.tools import ParrotMultiplyTool\n",
"from langchain_standard_tests.unit_tests import ToolsUnitTests\n",
"\n",
"\n",
"class TestParrotMultiplyToolUnit(ToolsUnitTests):\n",
" @property\n",
" def tool_constructor(self) -> Type[ParrotMultiplyTool]:\n",
" return ParrotMultiplyTool\n",
"\n",
" def tool_constructor_params(self) -> dict:\n",
" # if your tool constructor instead required initialization arguments like\n",
" # `def __init__(self, some_arg: int):`, you would return those here\n",
" # as a dictionary, e.g.: `return {'some_arg': 42}`\n",
" return {}\n",
"\n",
" def tool_invoke_params_example(self) -> dict:\n",
" \"\"\"\n",
" Returns a dictionary representing the \"args\" of an example tool call.\n",
"\n",
" This should NOT be a ToolCall dict - i.e. it should not\n",
" have {\"name\", \"id\", \"args\"} keys.\n",
" \"\"\"\n",
" return {\"a\": 2, \"b\": 3}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# title=\"tests/integration_tests/test_tools.py\"\n",
"from typing import Type\n",
"\n",
"from langchain_parrot_link.tools import ParrotMultiplyTool\n",
"from langchain_standard_tests.integration_tests import ToolsIntegrationTests\n",
"\n",
"\n",
"class TestParrotMultiplyToolIntegration(ToolsIntegrationTests):\n",
" @property\n",
" def tool_constructor(self) -> Type[ParrotMultiplyTool]:\n",
" return ParrotMultiplyTool\n",
"\n",
" def tool_constructor_params(self) -> dict:\n",
" # if your tool constructor instead required initialization arguments like\n",
" # `def __init__(self, some_arg: int):`, you would return those here\n",
" # as a dictionary, e.g.: `return {'some_arg': 42}`\n",
" return {}\n",
"\n",
" def tool_invoke_params_example(self) -> dict:\n",
" \"\"\"\n",
" Returns a dictionary representing the \"args\" of an example tool call.\n",
"\n",
" This should NOT be a ToolCall dict - i.e. it should not\n",
" have {\"name\", \"id\", \"args\"} keys.\n",
" \"\"\"\n",
" return {\"a\": 2, \"b\": 3}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"</details>\n",
"</div>"
"</details>"
]
}
],
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1 change: 1 addition & 0 deletions docs/docs/contributing/index.mdx
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Expand Up @@ -17,6 +17,7 @@ More coming soon! We are working on tutorials to help you make your first contri
- [**Documentation**](how_to/documentation/index.mdx): Help improve our docs, including this one!
- [**Code**](how_to/code/index.mdx): Help us write code, fix bugs, or improve our infrastructure.
- [**Integrations**](how_to/integrations/index.mdx): Help us integrate with your favorite vendors and tools.
- [**Standard Tests**](how_to/integrations/standard_tests): Ensure your integration passes an expected set of tests.

## Reference

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