%global _empty_manifest_terminate_build 0 Name: python-pyapacheatlas Version: 0.15.0 Release: 1 Summary: A package to simplify working with the Apache Atlas REST APIs for Atlas and Azure Purview. License: MIT License URL: https://github.com/wjohnson/pyapacheatlas Source0: https://mirrors.nju.edu.cn/pypi/web/packages/33/65/3f4052d891dd7280706aa937be2b8b2305b273075dc83c9b6030930beed7/pyapacheatlas-0.15.0.tar.gz BuildArch: noarch Requires: python3-openpyxl Requires: python3-requests %description # PyApacheAtlas: A Python SDK for Azure Purview and Apache Atlas PyApacheAtlas lets you work with the Azure Purview and Apache Atlas APIs in a Pythonic way. Supporting bulk loading, custom lineage, custom type definition and more from an SDK and Excel templates / integration. The package supports programmatic interaction and an Excel template for low-code uploads. ## Using Excel to Accelerate Metadata Uploads * Bulk upload entities. * Upload entities / assets for built-in or custom types. * Supports adding glossary terms to entities. * Supports adding classifications to entities. * Supports creating relationships between entities (e.g. columns of a table). * Creating custom lineage between existing entities. * Defining Purview Column Mappings / Column Lineage. * Bulk upload custom type definitions. * Bulk upload of classification definitions (Purview Classification Rules not supported). ## Using the Pythonic SDK for Purview and Atlas The PyApacheAtlas package itself supports those operations and more for the advanced user: * Programmatically create Entities, Types (Entity, Relationship, etc.). * Perform partial updates of an entity (for non-complex attributes like strings or integers). * Extracting entities by guid or qualified name. * Creating custom lineage with Process and Entity types. * Working with the glossary. * Uploading terms. * Downloading individual or all terms. * Working with classifications. * Classify one entity with multiple classifications. * Classify multiple entities with a single classification. * Remove classification ("declassify") from an entity. * Working with relationships. * Able to create arbitrary relationships between entities. * e.g. associating a given column with a table. * Deleting types (by name) or entities (by guid). * Performing "What-If" analysis to check if... * Your entities are valid types. * Your entities are missing required attributes. * Your entities are using undefined attributes. * Azure Purview's Search: query, autocomplete, suggest, browse. * Authentication to Azure Purview using azure-identity and Service Principal * Authentication to Apache Atlas using basic authentication of username and password. %package -n python3-pyapacheatlas Summary: A package to simplify working with the Apache Atlas REST APIs for Atlas and Azure Purview. Provides: python-pyapacheatlas BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pyapacheatlas # PyApacheAtlas: A Python SDK for Azure Purview and Apache Atlas PyApacheAtlas lets you work with the Azure Purview and Apache Atlas APIs in a Pythonic way. Supporting bulk loading, custom lineage, custom type definition and more from an SDK and Excel templates / integration. The package supports programmatic interaction and an Excel template for low-code uploads. ## Using Excel to Accelerate Metadata Uploads * Bulk upload entities. * Upload entities / assets for built-in or custom types. * Supports adding glossary terms to entities. * Supports adding classifications to entities. * Supports creating relationships between entities (e.g. columns of a table). * Creating custom lineage between existing entities. * Defining Purview Column Mappings / Column Lineage. * Bulk upload custom type definitions. * Bulk upload of classification definitions (Purview Classification Rules not supported). ## Using the Pythonic SDK for Purview and Atlas The PyApacheAtlas package itself supports those operations and more for the advanced user: * Programmatically create Entities, Types (Entity, Relationship, etc.). * Perform partial updates of an entity (for non-complex attributes like strings or integers). * Extracting entities by guid or qualified name. * Creating custom lineage with Process and Entity types. * Working with the glossary. * Uploading terms. * Downloading individual or all terms. * Working with classifications. * Classify one entity with multiple classifications. * Classify multiple entities with a single classification. * Remove classification ("declassify") from an entity. * Working with relationships. * Able to create arbitrary relationships between entities. * e.g. associating a given column with a table. * Deleting types (by name) or entities (by guid). * Performing "What-If" analysis to check if... * Your entities are valid types. * Your entities are missing required attributes. * Your entities are using undefined attributes. * Azure Purview's Search: query, autocomplete, suggest, browse. * Authentication to Azure Purview using azure-identity and Service Principal * Authentication to Apache Atlas using basic authentication of username and password. %package help Summary: Development documents and examples for pyapacheatlas Provides: python3-pyapacheatlas-doc %description help # PyApacheAtlas: A Python SDK for Azure Purview and Apache Atlas PyApacheAtlas lets you work with the Azure Purview and Apache Atlas APIs in a Pythonic way. Supporting bulk loading, custom lineage, custom type definition and more from an SDK and Excel templates / integration. The package supports programmatic interaction and an Excel template for low-code uploads. ## Using Excel to Accelerate Metadata Uploads * Bulk upload entities. * Upload entities / assets for built-in or custom types. * Supports adding glossary terms to entities. * Supports adding classifications to entities. * Supports creating relationships between entities (e.g. columns of a table). * Creating custom lineage between existing entities. * Defining Purview Column Mappings / Column Lineage. * Bulk upload custom type definitions. * Bulk upload of classification definitions (Purview Classification Rules not supported). ## Using the Pythonic SDK for Purview and Atlas The PyApacheAtlas package itself supports those operations and more for the advanced user: * Programmatically create Entities, Types (Entity, Relationship, etc.). * Perform partial updates of an entity (for non-complex attributes like strings or integers). * Extracting entities by guid or qualified name. * Creating custom lineage with Process and Entity types. * Working with the glossary. * Uploading terms. * Downloading individual or all terms. * Working with classifications. * Classify one entity with multiple classifications. * Classify multiple entities with a single classification. * Remove classification ("declassify") from an entity. * Working with relationships. * Able to create arbitrary relationships between entities. * e.g. associating a given column with a table. * Deleting types (by name) or entities (by guid). * Performing "What-If" analysis to check if... * Your entities are valid types. * Your entities are missing required attributes. * Your entities are using undefined attributes. * Azure Purview's Search: query, autocomplete, suggest, browse. * Authentication to Azure Purview using azure-identity and Service Principal * Authentication to Apache Atlas using basic authentication of username and password. %prep %autosetup -n pyapacheatlas-0.15.0 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-pyapacheatlas -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 0.15.0-1 - Package Spec generated