File python-langgraph-checkpoint.spec of Package python-langgraph-checkpoint

#
# spec file for package python-langgraph-checkpoint
#
# Copyright (c) 2025 SUSE LLC
#
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# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.

# Please submit bugfixes or comments via https://bugs.opensuse.org/
#


Name:           python-langgraph-checkpoint
Version:        2.1.1
Release:        0
Summary:        Library with base interfaces for LangGraph checkpoint savers
License:        FIXME-UNKNOWN
URL:            https://www.github.com/langchain-ai/langgraph
Source:         https://files.pythonhosted.org/packages/source/l/langgraph-checkpoint/langgraph_checkpoint-%{version}.tar.gz
BuildRequires:  python-rpm-macros
BuildRequires:  %{python_module hatchling}
BuildRequires:  %{python_module pip}
# SECTION test requirements
BuildRequires:  %{python_module dataclasses-json}
BuildRequires:  %{python_module langchain-core >= 0.2.38}
BuildRequires:  %{python_module langchain-tests}
BuildRequires:  %{python_module ormsgpack >= 1.10.0}
BuildRequires:  %{python_module pandas}
BuildRequires:  %{python_module pytest}
BuildRequires:  %{python_module pytest-mock}
# /SECTION
BuildRequires:  fdupes
Requires:       python-langchain-core >= 0.2.38
Requires:       python-ormsgpack >= 1.10.0
Provides:       python-langgraph-cache = %{version}
Provides:       python-langgraph-store = %{version}
BuildArch:      noarch
%python_subpackages

%description
This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph. They allow you to interact with and manage the graph's state. When you use a graph with a checkpointer, the checkpointer saves a _checkpoint_ of the graph state at every superstep, enabling several powerful capabilities like human-in-the-loop, "memory" between interactions and more.

%prep
%autosetup -p1 -n langgraph_checkpoint-%{version}

%build
%pyproject_wheel

%install
%pyproject_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}

%check
%pytest

%files %{python_files}
%license LICENSE
%dir %{python_sitelib}/langgraph
%{python_sitelib}/langgraph/checkpoint
%{python_sitelib}/langgraph/cache
%{python_sitelib}/langgraph/store
%{python_sitelib}/langgraph_checkpoint-%{version}.dist-info

%changelog