Command line Application for automating Micropython project setup and management in Visual Studio Code.
Project description
Micropy Cli
Micropy Cli is a project management/generation tool for writing Micropython code in modern IDEs such as VSCode. Its primary goal is to automate the process of creating a workspace complete with:
- Linting compatible with Micropython
- VSCode Intellisense
- Autocompletion
- Dependency Management
- VCS Compatibility
Installation
You can download and install the latest version of this software from the Python package index (PyPI) as follows:
pip install --upgrade micropy-cli
Usage
Usage: micropy [OPTIONS] COMMAND [ARGS]...
CLI Application for creating/managing Micropython Projects.
Options:
--version Show the version and exit.
--help Show this message and exit.
Commands:
init Create new Micropython Project
install Install Project Requirements
stubs Manage Micropy Stubs
Creating a Project
Creating a new project folder is as simple as:
- Executing
micropy init <PROJECT NAME>
- Selecting which templates to use
- Selecting your target device/firmware
- Boom. Your workspace is ready.
Micropy Project Environment
When creating a project with micropy-cli
, two special items are added:
- A
.micropy/
folder - A
micropy.json
file
The .micropy/
contains symlinks from your project to your $HOME/.micropy/stubs
folder. By doing this, micropy can reference the required stub files for your project as relative to it, rather than using absolute paths to $HOME/.micropy
. How does this benefit you? Thanks to this feature, you can feel free to push common setting files such as settings.json
and .pylint.rc
to your remote git repository. This way, others who clone your repo can achieve a matching workspace in their local environment.
Note: The generated
.micropy/
folder should be IGNORED by your VCS. It is created locally for each environment via themicropy.json
file.
The micropy.json
file contains information micropy needs in order to resolve your projects required files when other clone your repo. Think of it as a package.json
for micropython.
Cloning a Micropy Environment
To setup a Micropy environment locally, simply:
- Install
micropy-cli
- Navigate to the project directory
- Execute
micropy
Micropy will automatically configure and install any stubs required by a project thanks to its micropy.json
file.
Project Dependencies
While all modules that are included in your targeted micropython firmware are available with autocompletion, intellisense, and linting, most projects require external dependencies.
Currently, handling dependencies with micropython is a bit tricky. Maybe you can install a cpython version of your requirement? Maybe you could just copy and paste it? What if it needs to be frozen?
Micropy handles all these issues for you automatically. Not only does it track your project's dependencies, it keeps both requirements.txt
and dev-requirements.txt
updated, enables autocompletion/intellisense for each dep, and allows you to import them just as you would on your device.
This allows you to include your requirement however you want, whether that be as a frozen module in your custom built firmware, or simply in the /lib
folder on your device.
Installing Packages
To add a package as a requirement for your project, run:
micropy install <PACKAGE_NAMES>
while in your project's root directory.
This will automatically execute the following:
- Source
PACKAGE_NAMES
from pypi, as a url, or a local path - Retrieve the module/package and stub it, adding it to your local
.micropy
folder. - Add requirement to your
micropy.json
- Update
requirements.txt
To install dev packages that are not needed on your device, but are needed for local development, add the --dev
flag. This will do everything above except stub the requirement.
You can also install all requirements found in micropy.json
/requirements.txt
/dev-requirements.txt
by executing micropy install
without passing any packages. Micropy will automatically do this when setting up a local environment of an existing micropy project.
Example
Lets say your new project will depend on picoweb and blynklib. Plus, you'd like to use rshell to communicate directly with your device. After creating your project via micropy init
, you can install your requirements as so:
Now you or anybody cloning your project can import those requirements normally, and have the benefits of all the features micropy brings:
Stub Management
Stub files are the magic behind how micropy allows features such as linting, Intellisense, and autocompletion to work. To achieve the best results with MicropyCli, its important that you first add the appropriate stubs for the device/firmware your project uses.
Note: When working in a micropy project, all stub related commands will also be executed on the active project. (i.e if in a project and you run
micropy stubs add <stub-name>
, then that stub retrieved AND added to the active project.)
Adding Stubs
Adding stubs to Micropy is a breeze. Simply run: micropy stubs add <STUB_NAME>
By sourcing micropy-stubs, MicroPy has several premade stub packages to choose from.
These packages generally use the following naming schema:
<device>-<firmware>-<version>
For example, running micropy stubs add esp32-micropython-1.11.0
will install the following:
- Micropython Specific Stubs
- ESP32 Micropython v1.11 Device Specific Stubs
- Frozen Modules for both device and firmware
You can search stubs that are made available to Micropy via micropy stubs search <QUERY>
Alternatively, using micropy stubs add <PATH>
, you can manually add stubs to Micropy.
For manual stub generation, please see Josvel/micropython-stubber.
Creating Stubs
Using micropy stubs create <PORT/IP_ADDRESS>
, MicropyCli can automatically generate and add stubs from any Micropython device you have on hand. This can be done over both USB and WiFi.
Note: For stub creation, micropy-cli has additional dependencies.
These can be installed by executing:
pip install micropy-cli[create_stubs]
Viewing Stubs
To list stubs you have installed, simply run micropy stubs list
.
To search for stubs for your device, use micropy stubs search <QUERY>
.
Acknowledgements
Micropython-Stubber
Josverl's Repo is full of information regarding Micropython compatibility with VSCode and more. To find out more about how this process works, take a look at it.
micropy-cli and micropy-stubs depend on micropython-stubber for its ability to generate frozen modules, create stubs on a pyboard, and more.
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