Peak SDK
Overview
This is the official Python SDK
for the entire Peak
platform, and is currently in the stable state. All users are encouraged to participate in the development process by providing feedbacks, submitting issues and pull requests. 🙏
Setting up a Virtual Environment
To ensure a smooth development experience with Peak SDK, we highly recommend creating a Python virtual environment. A virtual environment helps to isolate the dependencies required by your project and prevents conflicts with other projects or the system’s global Python environment.
Follow these steps to create a virtual environment using Python’s built-in venv
module:
Open a terminal.
Navigate to your project’s root directory (where you plan to work with the Peak SDK).
Create a new virtual environment with the following command:
python3 -m venv <venv_name>
Activate the virtual environment by running:
source <venv_name>/bin/activate
You will now be working within the virtual environment, and you can install dependencies and run the project without affecting other projects on your system’s Python environment.
When you’re finished working on your project, you can deactivate the virtual environment using the following command:
deactivate
Installation
You can install Peak SDK via pip from PyPI or from source, the only requirement is Python 3.8+:
Installation from a source branch or tag
pip install "peak-sdk @ git+https://github.com/PeakBI/peak-sdk.git@{branch-name-or-tag}"
Installation from PyPI
pip install peak-sdk
Or if you want to install a specific version
pip install peak-sdk==<version>
The Peak SDK ships with the CLI as well. Once CLI is installed, you can enable auto-completion for your shell by running
peak --install-completion ${shell-name}
command, where shell can be one of[bash|zsh|fish|powershell|pwsh]
.Once this has run, we need to add
compinit
to the shell configuration file (like - .zshrc, .bashrc, etc). To do so, you can the following commandecho "compinit" >> ~/.zshrc # replace .zshrc with your shell's configuration file
API Key
To start using the SDK and CLI, you’ll need to export API key. If you don’t have one yet, sign up for an account on our platform to obtain your API key. To export it, run the following command in your terminal and replace <api_key> with your actual API key:
export API_KEY=<api_key>
Platform Support
Python Version | Linux | MacOS | Windows |
---|---|---|---|
3.8 | 🟢 | 🟡 | 🟤 |
3.9 | 🟢 | 🟡 | 🟤 |
3.10 | 🟢 | 🟢 | 🟤 |
3.11 | 🟡 | 🟡 | 🟤 |
Key | Status | Description |
---|---|---|
🟢 | Supported | regularly tested, and fully supported |
🟡 | Limited Support | not explicitly tested but should work, and supported on a best-effort basis |
🟤 | Not Tested | should work, but no guarantees and/or support |
Documentation
You can access the documentation for the SDK and CLI at https://docs.peak.ai/sdk/. Here are some quick links to help you navigate easily:
Running the documentation locally
You can access the documentation by running them locally as well, just run the following commands and the documentation will be available at 127.0.0.1:8000
poetry install --no-interaction --no-ansi --with docs,jupyter
poetry run nox --session=autodocs
If browsing on github you can check out the docs online and browse the raw markdown files.
Usage
Please see the usage documentation for details.
Contributing
Contributions are very welcome. To learn more, see the Contributor Guide.
Changelogs
The changelog can be found here.
The changelog only tracks changes from
v0.0.3
onwards, for previous changelogs please see individual releases on github.
License
Distributed under the terms of the Apache 2.0 license, Peak SDK is free and open source software.