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cos-utils-0.0.9


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توضیحات

Cloud Object Storage utility
ویژگی مقدار
سیستم عامل -
نام فایل cos-utils-0.0.9
نام cos-utils
نسخه کتابخانه 0.0.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Patrick Titzler
ایمیل نویسنده ptitzler@us.ibm.com
آدرس صفحه اصلی https://github.com/CODAIT/cos-utils
آدرس اینترنتی https://pypi.org/project/cos-utils/
مجوز Apache-2.0
# Cloud Object Storage CLI [![Build Status](https://travis-ci.com/CODAIT/cos-utils.svg)](https://travis-ci.com/CODAIT/cos-utils) [![PyPI release](https://img.shields.io/pypi/v/cos-utils.svg)](https://pypi.org/project/cos-utils/) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cos-utils) Table of content: - [Getting Started](#getting-started) - [Listing Cloud Object Storage buckets](#listing-cloud-object-storage-buckets) - [Listing the content of a Cloud Object Storage bucket](#listing-the-content-of-a-cloud-object-storage-bucket) - [Uploading files to a Cloud Object Storage bucket](#uploading-files-to-a-cloud-object-storage-bucket) - [Downloading files from a Cloud Object Storage bucket](#downloading-files-from-a-cloud-object-storage-bucket) - [Removing files from a Cloud Object Storage bucket](#removing-files-from-a-cloud-object-storage-bucket) --- ## Getting started The utility requires Python 3.6 or above. ### Installation You can install the utility from [PyPI](https://pypi.org/project/cos-utils) or from the [source](#install-from-source). #### Install from pypi.org ``` $ pip install cos-utils --upgrade ``` #### Install from source code ``` $ git clone https://github.com/CODAIT/cos-utils.git $ cd cos-utils $ pip install . ``` #### Configuration Set the `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`environment variables based on your [Cloud Object Storage HMAC credentials](https://cloud.ibm.com/docs/services/cloud-object-storage/iam?topic=cloud-object-storage-service-credentials). ``` $ export AWS_ACCESS_KEY_ID=... $ export AWS_SECRET_ACCESS_KEY=... ``` # Listing Cloud Object Storage buckets You can run the list utility in a terminal window using the generated console script ``` $ list_buckets --help ``` or explicitly ``` $ python -m cos_utils.list_buckets --help ``` The help lists required and optional parameters. ``` usage: list_buckets [-h] pattern List buckets in Cloud Object Storage instance. positional arguments: pattern Bucket name spec (supported wildcards: * and ?) optional arguments: -h, --help show this help message and exit Environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY must be defined to run the utility. ``` ## List all buckets ``` $ list_buckets * ``` > On Linux, Unix and MacOS wildcards need to be escaped to prevent shell expansion: `list_files <bucket-name> \*`. ## Apply a filter Use the `*` (any character) and `?` (one character) wildcards to define a filter condition. For example, to limit output to buckets starting with `data-`: ``` $ list_buckets data-* ``` # Listing the content of a Cloud Object Storage bucket You can run the list utility in a terminal window using the generated console script ``` $ list_files --help ``` or explicitly ``` $ python -m cos_utils.list_files --help ``` The help lists required and optional parameters. ``` usage: list_files [-h] bucket pattern List the content of a Cloud Object Storage bucket. positional arguments: bucket Bucket name pattern Object key spec (supported wildcards: * and ?) optional arguments: -h, --help show this help message and exit Environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY must be defined to run the utility. ``` ## List the content of `<bucket-name>` ``` $ list_files <bucket-name> * ``` > On Linux, Unix and MacOS wildcards need to be escaped to prevent shell expansion: `list_files <bucket-name> \*`. ## Apply a filter Use the `*` (any character) and `?` (one character) wildcards to define a filter condition. For example, to limit output to files ending in `.png`: ``` $ list_files <bucket-name> *.png ``` # Uploading files to a Cloud Object Storage bucket You can run the upload utility in a terminal window using the generated console script ``` $ upload_files --help ``` or explicitly ``` $ python -m cos_utils.upload_files --help ``` The help lists required and optional parameters. The examples listed below explain them in detail. ``` usage: upload_files [-h] [-p PREFIX] [-r] [-s] [-w] bucket pattern Upload files to a Cloud Object Storage bucket. positional arguments: bucket Bucket name pattern File or directory spec (supported wildcards: * and ?) optional arguments: -h, --help show this help message and exit -p PREFIX, --prefix PREFIX Key name prefix -r, --recursive Include files in subdirectories -s, --squash Exclude subdirectory name from key name -w, --wipe Clear bucket prior to upload Environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY must be defined to run the utility. ``` ## Example scenario The `</path/to/local/directory>` contains the following directories and files: ``` file1.png file2.png file3.jpg file4.txt dir1/file5.gif dir1/file6.png dir1/dir2/file7.png dir1/dir3/file8.jpg dir1/dir3/file1.png ``` In the examples given below `<bucket-name>` refers to an existing bucket in Cloud Object Storage. ## Upload directories You can upload the content of any directory. ### Upload the content of `</path/to/local/directory>` to bucket `<bucket-name>` ``` $ upload_files <bucket-name> </path/to/local/directory> ``` Bucket `<bucket-name>` contains the following objects: ``` file1.png file2.png file3.jpg file4.txt ``` ### Same as before but clear the bucket first before uploading Specify the optional `--wipe` parameter to clear the bucket before upload. ``` $ upload_files <bucket-name> </path/to/local/directory> --wipe ``` Bucket `<bucket-name>` contains the following objects: ``` file1.png file2.png file3.jpg file4.txt ``` ### Same as before but include subdirectories Specify the optional `--recursive` parameter include files in subdirectories. ``` $ upload_files <bucket-name> </path/to/local/directory> --wipe --recursive ``` Bucket `<bucket-name>` contains the following objects: ``` file1.png file2.png file3.jpg file4.txt dir1/file5.gif dir1/file6.png dir1/dir2/file7.png dir1/dir3/file8.jpg dir1/dir3/file1.png ``` ### Same as before but don't use subdirectory names during object key generation Specify the optional `--squash` parameter to ignore subdirectory names during object key generation. ``` $ upload_files <bucket-name> </path/to/local/directory> --wipe --recursive --squash ``` Bucket `<bucket-name>` contains the following objects. Note that `</path/to/local/directory>` contains two files named `file1.png`. First `file1.png` is uploaded and later overwritten with the content of `dir1/dir3/file1.png`. ``` file2.png file3.jpg file4.txt file5.gif file6.png file7.png file8.jpg file1.png ``` ### Same as before but include a static key name prefix Specify the optional `--prefix <prefix>` parameter to add `<prefix>` to the object key for every file. ``` $ upload_files <bucket-name> </path/to/local/directory> --wipe --recursive --squash --prefix data ``` Bucket `<bucket-name>` contains the following objects: ``` data/file2.png data/file3.jpg data/file4.txt data/file5.gif data/file6.png data/file7.png data/file8.jpg data/file1.png ``` ## Upload files You can upload a single file by specifying `</path/to/local/directory/filename>`. ``` $ upload_files <bucket-name> /path/to/local/directory/file1.png --wipe ``` Bucket `<bucket-name>` contains the following object: ``` file1.png ``` You can upload multiple files by specifying a pattern `</path/to/local/directory/filename-pattern>` ``` $ upload_files <bucket-name> /path/to/local/directory/*.png --wipe ``` > On Linux, Unix and MacOS wildcards need to be escaped to prevent shell expansion: `/path/to/local/directory/\*.png`. Bucket `<bucket-name>` contains the following objects: ``` file1.png file2.png ``` Use the `--recursive` parameter to extend the search to subdirectories of `/path/to/local/directory/`. ``` $ upload_files <bucket-name> /path/to/local/directory/*.png --wipe --recursive ``` ``` file1.png file2.png dir1/file6.png dir1/dir2/file7.png dir1/dir3/file1.png ``` # Downloading files from a Cloud Object Storage bucket You can run the download utility in a terminal window using the generated console script ``` $ download_files --help ``` or explicitly ``` $ python -m cos_utils.dowload_files --help ``` The help lists required and optional parameters. The examples listed below explain them in detail. ``` usage: download_files [-h] [-d TARGET_DIR] bucket pattern Download objects from a Cloud Object Storage bucket. positional arguments: bucket Bucket name pattern Object key spec (supported wildcards: * and ?) optional arguments: -h, --help show this help message and exit -d TARGET_DIR, --target_dir TARGET_DIR Local target directory. Defaults to the current directory. Environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY must be defined to run the utility. ``` ### Download complete bucket content You can download the complete content of a bucket to the current directory: ``` $ download_files <bucket-name> * ``` > On Linux, Unix and MacOS wildcards need to be escaped to prevent shell expansion: `download_files <bucket-name> \*`. ### Same as before but specify a target directory Use the `--target_dir </path/to/local/dir>` parameter to specify an existing directory where the downloaded files will be stored: ``` $ download_files <bucket-name> * --target_dir /tmp/downloads ``` ### Use wildcards to selectively download files Use the `*` (any character) and `?` (one character) wildcards to define a filter condition. #### Download only png files ``` $ download_files <bucket-name> *.png ``` #### Download files that contain a certain string in their name ``` $ download_files <bucket-name> *fil* ``` # Removing files from a Cloud Object Storage bucket You can run the remove utility in a terminal window using the generated console script ``` $ remove_files --help ``` or explicitly ``` $ python -m cos_utils.remove_files --help ``` ### Remove all files from a bucket ``` $ remove_files <bucket-name> ``` # License [Apache-2.0](LICENSE)


نحوه نصب


نصب پکیج whl cos-utils-0.0.9:

    pip install cos-utils-0.0.9.whl


نصب پکیج tar.gz cos-utils-0.0.9:

    pip install cos-utils-0.0.9.tar.gz