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%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
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.15.0-1
- Package Spec generated
|
