VSCode Extension¶
PyComex provides an official Visual Studio Code extension that streamlines experiment development by integrating experiment execution and archive visualization directly into your editor workflow.
Motivation¶
When developing computational experiments, you typically work with two key elements: experiment configuration files that define parameters and inheritance, and archive directories that store experimental results. The PyComex VSCode extension enhances your development experience by making these elements immediately recognizable and actionable within your editor.
Rather than switching between your editor and terminal to run experiments, or hunting through directories to identify which folders contain archived results, the extension brings these capabilities directly into the VSCode interface. This integration reduces friction in the experimental workflow, allowing you to focus on the science rather than the mechanics.
Installation¶
From VSCode Marketplace¶
Open the Extensions view in VSCode (Ctrl+Shift+X
or Cmd+Shift+X
), search for "PyComex", and click Install.
From VSIX Package¶
If you have a .vsix
file:
Features¶
đź§Ş Experiment Archive Visualization¶
The extension provides custom folder icons for PyComex archive directories, making experiment results immediately identifiable in your workspace. Folders named results
or archive
automatically display with a distinctive beaker icon, eliminating the need to mentally track which directories contain experimental outputs.
Configuration: Enable the icon theme via Command Palette (Ctrl+Shift+P
) → "File Icon Theme" → "PyComex Icons".
▶️ Quick Experiment Execution¶
When you open a PyComex experiment configuration YAML file (identified by the presence of extend:
and parameters:
fields), a green Run button appears in the top-right corner of the editor—identical to the interface Python users expect. Clicking this button executes your experiment directly without leaving VSCode.
Example configuration file:
The extension intelligently handles your Python environment by automatically detecting and activating virtual environments (.venv
, venv
, or env
) before executing the experiment. This ensures that PyComex and your dependencies are properly loaded without manual intervention.
Execution flow:
1. Opens a new terminal in the config file's directory
2. Activates the detected virtual environment (if present)
3. Runs pycomex run <config-file.yml>
4. Displays execution output in the integrated terminal
Configuration Detection¶
The extension continuously monitors your active files and automatically enables the run button when it detects valid PyComex configuration files. Detection occurs dynamically as you edit, so the button appears immediately when you add the required extend:
and parameters:
fields to a YAML file.
For virtual environment detection, the extension searches your workspace in this order:
1. .venv
(PyComex's default convention)
2. venv
3. env
4. VSCode's configured Python interpreter path
If no virtual environment is found, the extension runs pycomex run
directly, assuming PyComex is available in your system PATH.
Next Steps¶
- Explore the Introduction to learn about PyComex experiment structure
- Review Experiment Inheritance to understand configuration file extension
- Visit the PyComex GitHub repository for the latest updates
- Check the extension source code to contribute or report issues