automatic import of python-amazonianopeneuler20.03

3 files changed, 176 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/amazonian-2022.5.27.tar.gz
diff --git a/python-amazonian.spec b/python-amazonian.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-amazonian
+Version:	2022.5.27
+Release:	1
+Summary:	Python library for working with Amazon Web Services such as Redshift and S3
+License:	MIT
+URL:		https://github.com/idin/amazonian
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/07/4b/62848de13c11722a30e9e79bd620d82d115477875e787114180438b67666/amazonian-2022.5.27.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-sqlalchemy
+Requires:	python3-psycopg2-binary
+Requires:	python3-s3fs
+Requires:	python3-urllib3
+
+%description
+# Amazonian
+
+*Amazonian* is a *Python* library for interacting easily with Amazon S3 and Redshift.
+
+# Installation
+`pip install amazonian`
+
+# Usage
+
+## `S3`
+
+```python
+from amazonian import S3
+
+s3 = S3(key=None, secret=None, iam_role=None, root='s3://', spark=spark)
+
+# get list of files:
+s3.ls(path='s3://bucket/directory/subdirectory')
+
+# get a tree representation of folder structure
+s3.tree(path='s3://bucket/directory/subdirectory')
+
+# get file size:
+s3.get_size(path='some_file')
+
+# save a Spark DataFrame as a Parquet
+s3.save_parquet(data=my_data, path='s3://bucket/directory/subdirectory/name.parquet')
+
+# load a Parquet into a Spark DataFrame
+my_data = s3.load_parquet(path='s3://bucket/directory/subdirectory/name.parquet')
+```
+
+
+
+%package -n python3-amazonian
+Summary:	Python library for working with Amazon Web Services such as Redshift and S3
+Provides:	python-amazonian
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-amazonian
+# Amazonian
+
+*Amazonian* is a *Python* library for interacting easily with Amazon S3 and Redshift.
+
+# Installation
+`pip install amazonian`
+
+# Usage
+
+## `S3`
+
+```python
+from amazonian import S3
+
+s3 = S3(key=None, secret=None, iam_role=None, root='s3://', spark=spark)
+
+# get list of files:
+s3.ls(path='s3://bucket/directory/subdirectory')
+
+# get a tree representation of folder structure
+s3.tree(path='s3://bucket/directory/subdirectory')
+
+# get file size:
+s3.get_size(path='some_file')
+
+# save a Spark DataFrame as a Parquet
+s3.save_parquet(data=my_data, path='s3://bucket/directory/subdirectory/name.parquet')
+
+# load a Parquet into a Spark DataFrame
+my_data = s3.load_parquet(path='s3://bucket/directory/subdirectory/name.parquet')
+```
+
+
+
+%package help
+Summary:	Development documents and examples for amazonian
+Provides:	python3-amazonian-doc
+%description help
+# Amazonian
+
+*Amazonian* is a *Python* library for interacting easily with Amazon S3 and Redshift.
+
+# Installation
+`pip install amazonian`
+
+# Usage
+
+## `S3`
+
+```python
+from amazonian import S3
+
+s3 = S3(key=None, secret=None, iam_role=None, root='s3://', spark=spark)
+
+# get list of files:
+s3.ls(path='s3://bucket/directory/subdirectory')
+
+# get a tree representation of folder structure
+s3.tree(path='s3://bucket/directory/subdirectory')
+
+# get file size:
+s3.get_size(path='some_file')
+
+# save a Spark DataFrame as a Parquet
+s3.save_parquet(data=my_data, path='s3://bucket/directory/subdirectory/name.parquet')
+
+# load a Parquet into a Spark DataFrame
+my_data = s3.load_parquet(path='s3://bucket/directory/subdirectory/name.parquet')
+```
+
+
+
+%prep
+%autosetup -n amazonian-2022.5.27
+
+%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-amazonian -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2022.5.27-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..4d78723
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+34094f9317e8da23ba6b9227cec67d7c  amazonian-2022.5.27.tar.gz