uplink-python 1.2.2.0

Python-native language binding for uplink to communicate with the Storj network.

uplink-python binding

Developed using v1.2.2 storj/uplink-c

API documentation and tutorial

Initial Set-up (Important)

NOTE: for Golang

Make sure your PATH includes the $GOPATH/bin directory, so that your commands can be easily used Refer: Install the Go Tools:

export PATH=$PATH:$GOPATH/bin

Depending on your operating system, you will need to install:

On Unix

• A proper C/C++ compiler toolchain, like GCC

On macOS

• Xcode : You also need to install the XCode Command Line Tools by running xcode-select --install. Alternatively, if you already have the full Xcode installed, you can find them under the menu Xcode -> Open Developer Tool -> More Developer Tools.... This step will install clang, clang++, and make.

On Windows

• Install Visual C++ Build Environment: Visual Studio Build Tools (using "Visual C++ build tools" workload) or Visual Studio 2017 Community (using the "Desktop development with C++" workload)
• Make sure you have access to site-packages folder inside the directory where Python is installed. To do this navigate to the directory where Python is installed, if you get an error "Permission Denied", follow the instruction in the message box and allow access using security tab.

Binding Set-up

Please ensure you have Python 3.x and pip installed on your system. If you have Python version 3.4 or later, pip is included by default. uplink-python does not support Python 2.x.

$ python get-pip.py

Option 1

Install uplink-python python package with --no-cache-dir tag if re-installing or upgrading from the previous version, otherwise, the tag can be ignored (using Terminal/Powershell/CMD as Administrator):

$ pip install --no-cache-dir uplink-python

Note: If Administrator privilege is not granted to the terminal/cmd, the libuplinkc.so build process may fail.

Option 2

Follow these steps to set-up binding manually or if libuplinkc.so fails to build using Option 1.

• Install uplink-python python package (using Terminal/Powershell/CMD) if not already done in Option 1

$ pip install uplink-python

• Clone storj-uplink-c package to any location of your choice, using cmd/terminal navigate to PREFERED_DIR_PATH and run:

$ git clone -b v1.2.2 https://github.com/storj/uplink-c

• After cloning the package, navigate to the PREFERED_DIR_PATH/uplink-c folder.

$ cd uplink-c

• Create '.so' file at PREFERED_DIR_PATH/uplink-c folder, by using following command:

$ go build -o libuplinkc.so -buildmode=c-shared

• Copy created libuplinkc.so file into the folder, where Python package was installed (by default it is python3.X -> site-packages -> uplink_python)

Project Set-up

To include uplink in your project, import the library, by using the following command:

from uplink_python.uplink import Uplink

Create an object of Uplink class to access all the functions of the library. Please refer to the sample hello_storj.py file, for example.

variable_name = Uplink()

To use various parameters such as ListBucketsOptions, ListObjectsOptions, Permissions, etc you would require to import them first from module_classes i.e. uplink_python.module_classes.

from uplink_python.module_classes import DownloadOptions, Permission

To use various user-defined Storj Exceptions such as InternalError, BucketNotFoundError, etc you would require to import them first from errors i.e. uplink_python.errors.

from uplink_python.errors import InternalError, BucketNotFoundError

Sample Hello Storj!

File hello_storj.py can be found in the folder where the Python package was installed.

The sample hello_storj.py code calls the uplink.py file and imports the Uplink binding class to do the following:

• list all buckets in a Storj project
• create a new bucket (if it does not exist) within the desired Storj project
• write a file from local computer to the Storj bucket
• read back the object from the Storj bucket to the local system for verification
• list all objects in a bucket
• delete bucket from a Storj project
• create shareable Access with permissions and shared prefix.
• list all buckets and objects with permission to shareable access.

Run Unit Test Cases on Local

Directory with unit test cases test can be found in the uplink-python repository.

To run the test cases on a local system, you need to perform the following steps:

• clone the repo so that you have the test folder on your local system.

    directory_on_local
    └── test
        └── __init__.py
        └── test_data
        └── test_cases.py
  

• Add a test file parallel to the tests folder, add API Key in the file, and name it as secret.txt. The directory structure would be something like this now:

    directory_on_local
    └── secret.txt
    └── test
        └── __init__.py
        └── test_data
        └── test_cases.py
  

• Navigate to the folder, here directory_on_local and use the following command to run through all the tests.

    $ python3 -m unittest test/test_cases.py -v
  

Documentation

For more information on function definations and diagrams, check out the Detail or jump to:

• Uplink-Python Binding Functions
• Flow Diagram
• libuplink Documentation