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https://github.com/hwchase17/langchain.git
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56dde3ade3
This PR adds scaffolding for langchain 1.0 entry package. Most contents have been removed. Currently remaining entrypoints for: * chat models * embedding models * memory -> trimming messages, filtering messages and counting tokens [we may remove this] * prompts -> we may remove some prompts * storage: primarily to support cache backed embeddings, may remove the kv store * tools -> report tool primitives Things to be added: * Selected agent implementations * Selected workflows * Common primitives: messages, Document * Primitives for type hinting: BaseChatModel, BaseEmbeddings * Selected retrievers * Selected text splitters Things to be removed: * Globals needs to be removed (needs an update in langchain core) Todos: * TBD indexing api (requires sqlalchemy which we don't want as a dependency) * Be explicit about public/private interfaces (e.g., likely rename chat_models.base.py to something more internal) * Remove dockerfiles * Update module doc-strings and README.md
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
"""A unit test meant to catch accidental introduction of non-optional dependencies."""
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from collections.abc import Mapping
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from pathlib import Path
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from typing import Any
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import pytest
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import toml
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from packaging.requirements import Requirement
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HERE = Path(__file__).parent
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PYPROJECT_TOML = HERE / "../../pyproject.toml"
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@pytest.fixture
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def uv_conf() -> dict[str, Any]:
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"""Load the pyproject.toml file."""
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with PYPROJECT_TOML.open() as f:
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return toml.load(f)
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def test_required_dependencies(uv_conf: Mapping[str, Any]) -> None:
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"""A test that checks if a new non-optional dependency is being introduced.
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If this test is triggered, it means that a contributor is trying to introduce a new
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required dependency. This should be avoided in most situations.
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"""
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# Get the dependencies from the [tool.poetry.dependencies] section
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dependencies = uv_conf["project"]["dependencies"]
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required_dependencies = {Requirement(dep).name for dep in dependencies}
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assert sorted(required_dependencies) == sorted(
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["langchain-core", "langchain-text-splitters", "langgraph", "pydantic"]
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)
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