From f25a70036607f57a3f050deab42c1a2459504505 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Wed, 10 May 2023 07:07:29 +0000
Subject: automatic import of python-azurebatchload

---
 .gitignore                 |   1 +
 python-azurebatchload.spec | 692 +++++++++++++++++++++++++++++++++++++++++++++
 sources                    |   1 +
 3 files changed, 694 insertions(+)
 create mode 100644 python-azurebatchload.spec
 create mode 100644 sources

diff --git a/.gitignore b/.gitignore
index e69de29..9a77378 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/azurebatchload-0.6.2.tar.gz
diff --git a/python-azurebatchload.spec b/python-azurebatchload.spec
new file mode 100644
index 0000000..d0e103e
--- /dev/null
+++ b/python-azurebatchload.spec
@@ -0,0 +1,692 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-azurebatchload
+Version:	0.6.2
+Release:	1
+Summary:	Download and upload files in batches from Azure Blob Storage Containers
+License:	MIT License
+URL:		https://github.com/zypp-io/azure-batch-load
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/2f/58/7d1adfef54bac2a107bc1d5e0851735dee9f87cb91040ba008df585c3dad/azurebatchload-0.6.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-azure-storage-blob
+Requires:	python3-pandas
+
+%description
+<p align="center">
+  <img alt="logo" src="https://www.zypp.io/static/assets/img/logos/zypp/white/500px.png"  width="200"/>
+</p>
+
+[![Downloads](https://pepy.tech/badge/azurebatchload)](https://pepy.tech/project/azurebatchload)
+[![PyPi](https://img.shields.io/pypi/v/azurebatchload.svg)](https://pypi.python.org/pypi/azurebatchload)
+[![Open Source](https://badges.frapsoft.com/os/v1/open-source.svg?v=103)](https://opensource.org/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+# Azure Batch Load
+High level Python wrapper for the [Azure CLI](https://docs.microsoft.com/en-us/cli/azure/) to download or upload files in batches from or to Azure Blob Storage Containers.
+This project aims to be the [missing functionality](https://github.com/Azure/azure-storage-python/issues/554)
+in the Python SDK of Azure Storage since there is no possibility to download or upload batches of files from or to containers.
+The only option in the Azure Storage Python SDK is downloading file by file, which takes a lot of time.
+
+Besides doing loads in batches, since version `0.0.5` it's possible to set method to `single` which will use the
+[Azure Python SDK](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/storage/azure-storage-blob) to process files one by one.
+
+
+# Installation
+
+```commandline
+pip install azurebatchload
+```
+
+See [PyPi](https://pypi.org/project/azurebatchload/) for package index.
+
+**Note**: For batch uploads (`method="batch"`) Azure CLI has to be [installed](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli)
+and [configured](https://docs.microsoft.com/en-us/cli/azure/get-started-with-azure-cli).
+Check if Azure CLI is installed through terminal:
+
+```commandline
+az --version
+```
+
+# Requirements
+
+Azure Storage connection string has to be set as environment variable `AZURE_STORAGE_CONNECTION_STRING` or
+the seperate environment variables `AZURE_STORAGE_KEY` and `AZURE_STORAGE_NAME` which will be used to create the connection string.
+
+# Usage
+
+## Download
+### 1. Using the standard environment variables
+
+Azure-batch-load automatically checks for environment variables: `AZURE_STORAGE_CONNECTION_STRING`,
+   `AZURE_STORAGE_KEY`and `AZURE_STORAGE_ACCOUNT`.
+So if the connection_string or storage_key + storage_account are set as environment variables,
+   we can leave the argument `connection_string`, `account_key` and `account_name` empty:
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   extension='.pdf'
+).download()
+```
+
+### 2. Using `method="single"`
+
+We can make skip the usage of the `Azure CLI` and just make use Python SDK by setting the `method="single"`:
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   extension='.pdf',
+   method='single'
+).download()
+```
+
+### 3. Download a specific folder from a container
+
+We can download a folder by setting the `folder` argument. This works both for `single` and `batch`.
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   folder='uploads/invoices/',
+   extension='.pdf',
+   method='single'
+).download()
+```
+
+### 4. Download a given list of files
+
+We can give a list of files to download with the `list_files` argument.
+Note, this only works with `method='single'`.
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   folder='uploads/invoices/',
+   list_files=["invoice1.pdf", "invoice2.pdf"],
+   method='single'
+).download()
+```
+
+## Upload:
+
+### 1. Using the standard environment variables
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   extension='*.pdf'
+).upload()
+```
+
+### 2. Using the `method="single"` method which does not require Azure CLI.
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   extension='*.pdf',
+   method="single"
+).upload()
+```
+
+### 3. Upload a given list of files with the `list_files` argument.
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   list_files=["invoice1.pdf", "invoice2.pdf"],
+   method="single"
+).upload()
+```
+
+## List blobs
+
+With the `Utils.list_blobs` method we can do advanced listing of blobs in a container or specific folder in a container.
+We have several argument we can use to define our scope of information:
+
+- `name_starts_with`: This can be used to filter files with certain prefix, or to select certain folders: `name_starts_with=folder1/subfolder/lastfolder/`
+- `dataframe`: Define if you want a pandas dataframe object returned for your information.
+- `extended_info`: Get just the blob names or more extended information like size, creation date, modified date.
+
+### 1. List a whole container with just the filenames as a list.
+```python
+from azurebatchload import Utils
+
+list_blobs = Utils(container='containername').list_blobs()
+```
+
+### 2. List a whole container with just the filenames as a dataframe.
+```python
+from azurebatchload import Utils
+
+df_blobs = Utils(
+   container='containername',
+   dataframe=True
+).list_blobs()
+```
+
+### 3. List a folder in a container.
+```python
+from azurebatchload import Utils
+
+list_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/"
+).list_blobs()
+```
+
+### 4. Get extended information a folder.
+```python
+from azurebatchload import Utils
+
+dict_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/",
+   extended_info=True
+).list_blobs()
+```
+
+### 5. Get extended information a folder returned as a pandas dataframe.
+```python
+from azurebatchload import Utils
+
+df_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/",
+   extended_info=True,
+   dataframe=True
+).list_blobs()
+```
+
+
+%package -n python3-azurebatchload
+Summary:	Download and upload files in batches from Azure Blob Storage Containers
+Provides:	python-azurebatchload
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-azurebatchload
+<p align="center">
+  <img alt="logo" src="https://www.zypp.io/static/assets/img/logos/zypp/white/500px.png"  width="200"/>
+</p>
+
+[![Downloads](https://pepy.tech/badge/azurebatchload)](https://pepy.tech/project/azurebatchload)
+[![PyPi](https://img.shields.io/pypi/v/azurebatchload.svg)](https://pypi.python.org/pypi/azurebatchload)
+[![Open Source](https://badges.frapsoft.com/os/v1/open-source.svg?v=103)](https://opensource.org/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+# Azure Batch Load
+High level Python wrapper for the [Azure CLI](https://docs.microsoft.com/en-us/cli/azure/) to download or upload files in batches from or to Azure Blob Storage Containers.
+This project aims to be the [missing functionality](https://github.com/Azure/azure-storage-python/issues/554)
+in the Python SDK of Azure Storage since there is no possibility to download or upload batches of files from or to containers.
+The only option in the Azure Storage Python SDK is downloading file by file, which takes a lot of time.
+
+Besides doing loads in batches, since version `0.0.5` it's possible to set method to `single` which will use the
+[Azure Python SDK](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/storage/azure-storage-blob) to process files one by one.
+
+
+# Installation
+
+```commandline
+pip install azurebatchload
+```
+
+See [PyPi](https://pypi.org/project/azurebatchload/) for package index.
+
+**Note**: For batch uploads (`method="batch"`) Azure CLI has to be [installed](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli)
+and [configured](https://docs.microsoft.com/en-us/cli/azure/get-started-with-azure-cli).
+Check if Azure CLI is installed through terminal:
+
+```commandline
+az --version
+```
+
+# Requirements
+
+Azure Storage connection string has to be set as environment variable `AZURE_STORAGE_CONNECTION_STRING` or
+the seperate environment variables `AZURE_STORAGE_KEY` and `AZURE_STORAGE_NAME` which will be used to create the connection string.
+
+# Usage
+
+## Download
+### 1. Using the standard environment variables
+
+Azure-batch-load automatically checks for environment variables: `AZURE_STORAGE_CONNECTION_STRING`,
+   `AZURE_STORAGE_KEY`and `AZURE_STORAGE_ACCOUNT`.
+So if the connection_string or storage_key + storage_account are set as environment variables,
+   we can leave the argument `connection_string`, `account_key` and `account_name` empty:
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   extension='.pdf'
+).download()
+```
+
+### 2. Using `method="single"`
+
+We can make skip the usage of the `Azure CLI` and just make use Python SDK by setting the `method="single"`:
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   extension='.pdf',
+   method='single'
+).download()
+```
+
+### 3. Download a specific folder from a container
+
+We can download a folder by setting the `folder` argument. This works both for `single` and `batch`.
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   folder='uploads/invoices/',
+   extension='.pdf',
+   method='single'
+).download()
+```
+
+### 4. Download a given list of files
+
+We can give a list of files to download with the `list_files` argument.
+Note, this only works with `method='single'`.
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   folder='uploads/invoices/',
+   list_files=["invoice1.pdf", "invoice2.pdf"],
+   method='single'
+).download()
+```
+
+## Upload:
+
+### 1. Using the standard environment variables
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   extension='*.pdf'
+).upload()
+```
+
+### 2. Using the `method="single"` method which does not require Azure CLI.
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   extension='*.pdf',
+   method="single"
+).upload()
+```
+
+### 3. Upload a given list of files with the `list_files` argument.
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   list_files=["invoice1.pdf", "invoice2.pdf"],
+   method="single"
+).upload()
+```
+
+## List blobs
+
+With the `Utils.list_blobs` method we can do advanced listing of blobs in a container or specific folder in a container.
+We have several argument we can use to define our scope of information:
+
+- `name_starts_with`: This can be used to filter files with certain prefix, or to select certain folders: `name_starts_with=folder1/subfolder/lastfolder/`
+- `dataframe`: Define if you want a pandas dataframe object returned for your information.
+- `extended_info`: Get just the blob names or more extended information like size, creation date, modified date.
+
+### 1. List a whole container with just the filenames as a list.
+```python
+from azurebatchload import Utils
+
+list_blobs = Utils(container='containername').list_blobs()
+```
+
+### 2. List a whole container with just the filenames as a dataframe.
+```python
+from azurebatchload import Utils
+
+df_blobs = Utils(
+   container='containername',
+   dataframe=True
+).list_blobs()
+```
+
+### 3. List a folder in a container.
+```python
+from azurebatchload import Utils
+
+list_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/"
+).list_blobs()
+```
+
+### 4. Get extended information a folder.
+```python
+from azurebatchload import Utils
+
+dict_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/",
+   extended_info=True
+).list_blobs()
+```
+
+### 5. Get extended information a folder returned as a pandas dataframe.
+```python
+from azurebatchload import Utils
+
+df_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/",
+   extended_info=True,
+   dataframe=True
+).list_blobs()
+```
+
+
+%package help
+Summary:	Development documents and examples for azurebatchload
+Provides:	python3-azurebatchload-doc
+%description help
+<p align="center">
+  <img alt="logo" src="https://www.zypp.io/static/assets/img/logos/zypp/white/500px.png"  width="200"/>
+</p>
+
+[![Downloads](https://pepy.tech/badge/azurebatchload)](https://pepy.tech/project/azurebatchload)
+[![PyPi](https://img.shields.io/pypi/v/azurebatchload.svg)](https://pypi.python.org/pypi/azurebatchload)
+[![Open Source](https://badges.frapsoft.com/os/v1/open-source.svg?v=103)](https://opensource.org/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+# Azure Batch Load
+High level Python wrapper for the [Azure CLI](https://docs.microsoft.com/en-us/cli/azure/) to download or upload files in batches from or to Azure Blob Storage Containers.
+This project aims to be the [missing functionality](https://github.com/Azure/azure-storage-python/issues/554)
+in the Python SDK of Azure Storage since there is no possibility to download or upload batches of files from or to containers.
+The only option in the Azure Storage Python SDK is downloading file by file, which takes a lot of time.
+
+Besides doing loads in batches, since version `0.0.5` it's possible to set method to `single` which will use the
+[Azure Python SDK](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/storage/azure-storage-blob) to process files one by one.
+
+
+# Installation
+
+```commandline
+pip install azurebatchload
+```
+
+See [PyPi](https://pypi.org/project/azurebatchload/) for package index.
+
+**Note**: For batch uploads (`method="batch"`) Azure CLI has to be [installed](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli)
+and [configured](https://docs.microsoft.com/en-us/cli/azure/get-started-with-azure-cli).
+Check if Azure CLI is installed through terminal:
+
+```commandline
+az --version
+```
+
+# Requirements
+
+Azure Storage connection string has to be set as environment variable `AZURE_STORAGE_CONNECTION_STRING` or
+the seperate environment variables `AZURE_STORAGE_KEY` and `AZURE_STORAGE_NAME` which will be used to create the connection string.
+
+# Usage
+
+## Download
+### 1. Using the standard environment variables
+
+Azure-batch-load automatically checks for environment variables: `AZURE_STORAGE_CONNECTION_STRING`,
+   `AZURE_STORAGE_KEY`and `AZURE_STORAGE_ACCOUNT`.
+So if the connection_string or storage_key + storage_account are set as environment variables,
+   we can leave the argument `connection_string`, `account_key` and `account_name` empty:
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   extension='.pdf'
+).download()
+```
+
+### 2. Using `method="single"`
+
+We can make skip the usage of the `Azure CLI` and just make use Python SDK by setting the `method="single"`:
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   extension='.pdf',
+   method='single'
+).download()
+```
+
+### 3. Download a specific folder from a container
+
+We can download a folder by setting the `folder` argument. This works both for `single` and `batch`.
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   folder='uploads/invoices/',
+   extension='.pdf',
+   method='single'
+).download()
+```
+
+### 4. Download a given list of files
+
+We can give a list of files to download with the `list_files` argument.
+Note, this only works with `method='single'`.
+
+```python
+from azurebatchload import Download
+
+Download(
+   destination='../pdfs',
+   source='blobcontainername',
+   folder='uploads/invoices/',
+   list_files=["invoice1.pdf", "invoice2.pdf"],
+   method='single'
+).download()
+```
+
+## Upload:
+
+### 1. Using the standard environment variables
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   extension='*.pdf'
+).upload()
+```
+
+### 2. Using the `method="single"` method which does not require Azure CLI.
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   extension='*.pdf',
+   method="single"
+).upload()
+```
+
+### 3. Upload a given list of files with the `list_files` argument.
+
+```python
+from azurebatchload import Upload
+
+Upload(
+   destination='blobcontainername',
+   source='../pdf',
+   list_files=["invoice1.pdf", "invoice2.pdf"],
+   method="single"
+).upload()
+```
+
+## List blobs
+
+With the `Utils.list_blobs` method we can do advanced listing of blobs in a container or specific folder in a container.
+We have several argument we can use to define our scope of information:
+
+- `name_starts_with`: This can be used to filter files with certain prefix, or to select certain folders: `name_starts_with=folder1/subfolder/lastfolder/`
+- `dataframe`: Define if you want a pandas dataframe object returned for your information.
+- `extended_info`: Get just the blob names or more extended information like size, creation date, modified date.
+
+### 1. List a whole container with just the filenames as a list.
+```python
+from azurebatchload import Utils
+
+list_blobs = Utils(container='containername').list_blobs()
+```
+
+### 2. List a whole container with just the filenames as a dataframe.
+```python
+from azurebatchload import Utils
+
+df_blobs = Utils(
+   container='containername',
+   dataframe=True
+).list_blobs()
+```
+
+### 3. List a folder in a container.
+```python
+from azurebatchload import Utils
+
+list_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/"
+).list_blobs()
+```
+
+### 4. Get extended information a folder.
+```python
+from azurebatchload import Utils
+
+dict_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/",
+   extended_info=True
+).list_blobs()
+```
+
+### 5. Get extended information a folder returned as a pandas dataframe.
+```python
+from azurebatchload import Utils
+
+df_blobs = Utils(
+   container='containername',
+   name_starts_with="foldername/",
+   extended_info=True,
+   dataframe=True
+).list_blobs()
+```
+
+
+%prep
+%autosetup -n azurebatchload-0.6.2
+
+%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-azurebatchload -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..9b9ba41
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+f99f1430d2eaed83dc9fcd9318766d63  azurebatchload-0.6.2.tar.gz
-- 
cgit v1.2.3