Your First Extension
In this topic, we'll teach you the fundamental concepts for building extensions. Make sure you have Node.js and Git installed, then install Yeoman and VS Code Extension Generator with:
Once you have learned the basics of Visual Studio Code Extension API in the Hello World sample, it's time to build some real-world extensions. While the Extension Capabilities section offers high-level overviews of what an extension can do, this section contains a list of detailed code guides and samples that explains how to use a specific VS Code API.
In each guide or sample, you can expect to find:
- Thoroughly commented source code.
- A gif or image showing the usage of the sample extension.
- Instructions for running the sample extension.
- Listing of VS Code API being used.
- Listing of Contribution Points being used.
- Real-world extensions resembling the sample.
- Explanation of API concepts.
Black is "the uncompromising Python code formatter." It can be configured to automatically format your code whenever you save a file in VSCode.
GitLens supercharges the Git capabilities built into VS Code. Whether you’re a seasoned Git developer or just getting started, GitLens makes it easier, safer and faster to leverage the full power of Git. This GitLens tutorial will show you how to use GitLens in VS Code and get the most out of the tool. Sign up for GitLens+ to get the most out of your experience - it’s free: OpenVSX: GitLens
- 0:00 Welcome to GitLens
- 0:17 Inline Blame and Hover Support
- 0:49 File Blame
- 1:43 Git CodeLens
- 2:15 Sidebar Views
- 3:01 Customize your experience
VSCodium is a community-driven, freely-licensed binary distribution of Microsoft’s editor VSCode
Microsoft’s vscode source code is open source (MIT-licensed), but the the product available for download (Visual Studio Code) is licensed under this not-FLOSS license and contains telemetry/tracking.
This is not a fork. This is a repository of scripts to automatically build Microsoft's vscode repository into freely-licensed binaries with a community-driven default configuration.
Semgrep is a fast, open-source, static analysis tool for finding bugs and enforcing code standards at editor, commit, and CI time. Get started →.
Semgrep analyzes code locally on your computer or in your build environment: code is never uploaded.
Its rules look like the code you already write; no abstract syntax trees, regex wrestling, or painful DSLs. Here's a quick rule for finding Python print() statements, run it online in Semgrep's Playground by clicking the image:
Semgrep rule example for finding Python print() statements
The Semgrep ecosystem includes:
Semgrep - the open-source command line tool at the heart of everything (this project)
Semgrep CI - a specialized Docker image for running Semgrep in CI environments
Semgrep Playground - an online interactive rule builder for writing and sharing rules
Semgrep Registry - 2,000+ community-driven rules covering security, correctness, and performance bugs
Semgrep App - deploy, manage, and monitor Semgrep at scale with free and paid tiers.Join 100,000 other developers and security engineers already using Semgrep at companies like Chef, Dropbox, Figma, HashiCorp, Snowflake, and Trail of Bits. Also check out tools powered by Semgrep!
Semgrep is developed and commercially supported by r2c, a software security company.
Language support
General availability
C# · Go · Java · JavaScript · JSX · JSON · PHP · Python · Ruby · Scala · TypeScript · TSX
Find security vulnerabilities, compliance issues, and infrastructure misconfigurations early in the development cycle of your infrastructure-as-code with KICS by Checkmarx.
KICS stands for Keeping Infrastructure as Code Secure, it is open source and is a must-have for any cloud native project.
Black is the uncompromising Python code formatter. By using it, you agree to cede control over minutiae of hand-formatting. In return, Black gives you speed, determinism, and freedom from pycodestyle nagging about formatting. You will save time and mental energy for more important matters.
Blackened code looks the same regardless of the project you're reading. Formatting becomes transparent after a while and you can focus on the content instead.
Black makes code review faster by producing the smallest diffs possible.
Try it out now using the Black Playground. Watch the PyCon 2019 talk to learn more.
Wily is an application for tracking the complexity of Python code in tests and applications.
Wily uses git to go through each revision (commit) in a branch and run complexity and code-analysis metrics over the code. You can use this to limit your code or report on trends for complexity, length etc.
Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux. It comes with built-in support for JavaScript, TypeScript and Node.js and has a rich ecosystem of extensions for other languages (such as C++, C#, Java, Python, PHP, Go) and runtimes (such as .NET and Unity). Begin your journey with VS Code with these introductory videos.
Zuul is a Project Gating System. That’s like a CI or CD system, but the focus is on testing the future state of code repositories.
A gating system doesn’t just test a proposed change; it tests the proposed future state of multiple branches and repositories with any number of in-flight changes and their dependencies. And the same playbooks used to test software can also be used to deploy it.
Zuul itself is a service which listens to events from various code review systems, executes jobs based on those events, and reports the results back to the code review system. The primary interface for Zuul is the code review system (or systems) so that it fits seamlessly into developer workflows, and a web interface is available for inspecting the current status and browsing build results.
The best way to run Zuul is with a single installation serving as many projects or groups as possible. It is a multi-tenant application that is able to provide as much or as little separation between projects as desired.
Once I was working in the software development company. It was a regular company: nothing really bad, but nothing fancy. It had the same problems as other similar companies:
Low-quality code
Unmet deadlines
Budget overflowsAnd disappointed clients as a final result.
Of course, everyone in management was eager to know, what (or “who”) was the reason. During our workday, it was quite normal to hear something like: “the project is failed because you wrote low-quality code, now the client is moving away from us”.
Did it help in any way? No. Was it pleasant to work there? No. So, once I woke up and decided that I do not want to work in this company anymore.
The ugliest part is that I was the founder of this company.
Network automation to screen-scraping devices is primarily concerned with gathering output from show commands and with making configuration changes.
Netmiko aims to accomplish both of these operations and to do it across a very broad set of platforms. It seeks to do this while abstracting away low-level state control (i.e. eliminate low-level regex pattern matching to the extent practical).
Nornir is an automation framework written in python to be used with python. Most automation frameworks hide the language they are written in by using some cumbersome pseudo-language which usually is almost Turing complete, but lacks tooling to debug and troubleshoot. Integrating with other systems is also usually quite hard as they usually have complex APIs if any at all. Some of the other common problems of those pseudo-languages is that are usually quite bad at dealing with data and re-usability is limited.
Nornir aims to solve those problems by providing a pure python framework. Just imagine Nornir as the Flask of automation. Nornir will take care of dealing with the inventory where you have your host information, it will take care of dispatching the tasks to your devices and will provide a common framework to write “plugins”.
This document gives coding conventions for the Python code comprising the standard library in the main Python distribution. Please see the companion informational PEP describing style guidelines for the C code in the C implementation of Python 1.
This document and PEP 257 (Docstring Conventions) were adapted from Guido’s original Python Style Guide essay, with some additions from Barry’s style guide 2.
This style guide evolves over time as additional conventions are identified and past conventions are rendered obsolete by changes in the language itself.
Many projects have their own coding style guidelines. In the event of any conflicts, such project-specific guides take precedence for that project.
Bandit is a tool designed to find common security issues in Python code. To do this, Bandit processes each file, builds an AST from it, and runs appropriate plugins against the AST nodes. Once Bandit has finished scanning all the files, it generates a report.
This documentation is generated by the Sphinx toolkit and lives in the source tree.
Atheris is a coverage-guided Python fuzzing engine. It supports fuzzing of Python code, but also native extensions written for CPython. Atheris is based off of libFuzzer. When fuzzing native code, Atheris can be used in combination with Address Sanitizer or Undefined Behavior Sanitizer to catch extra bugs.
Handling own exception class
When you raise an exception from within an except block in Python, you have three options:
- If a new/unexpected exception occurs in the code handling the original exception, raise NewException.
- If you want to wrap the original exception(s) (e.g., with a common base exception to reduce complexity for your users), raise NewException from cause.
- If you want to hide the original exception because it is irrelevant for your users, raise NewException from None.