#cargo #cargo-subcommand #testing

bin+lib cargo-tarpaulin

Cargo-Tarpaulin is a tool to determine code coverage achieved via tests

52 releases

✓ Uses Rust 2018 edition

new 0.8.7 Sep 21, 2019
0.8.5 Jul 27, 2019
0.7.0 Jan 8, 2019
0.6.10 Dec 3, 2018
0.3.9 Jul 24, 2017

#8 in Cargo plugins

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5,296 downloads per month
Used in 1 crate

MIT/Apache

210KB
5K SLoC

Tarpaulin

Build Status Latest Version License:MIT Docker Developers Wiki

Tarpaulin is designed to be a code coverage reporting tool for the Cargo build system, named for a waterproof cloth used to cover cargo on a ship. Currently, tarpaulin provides working line coverage but is still in the early development stage and therefore may contain some bugs. A lot of work has been done to get it working on some example projects and smaller crates so please report anything you find that's wrong. Also, check out our roadmap for planned features.

Tarpaulin only supports x86_64 processors running Linux. This is because instrumenting breakpoints into executables and tracing their execution requires processor and OS specific code. It is a goal when greater stability is reached to add wider system support, however this is sufficient to run Tarpaulin on popular CI tools like Travis.

It can also be run in Docker, which is useful for when you don't use Linux but want to run it locally, e.g. during development. See below for how to do that.

Features

Below is a list of features currently implemented. As Tarpaulin loads binary files into memory and parses the debugging information, different setups could lead to coverage not working. In this instance, please raise an issue detailing your setup and an example project and I'll attempt to fix it (please link us to a repo and the commit containing your project and paste the verbose output).

Usage

Installation

Tarpaulin depends on cargo which depends on SSL. Make sure you've installed your distros SSL development libraries and they are on your path before attempting to install tarpaulin. For example for Debian/Ubuntu:

apt-get update && apt-get install libssl-dev pkg-config cmake zlib1g-dev

Tarpaulin is a command-line program, you install it into your linux development environment with cargo install:

cargo install cargo-tarpaulin

Command line

To get detailed help on available arguments when running tarpaulin call:

cargo tarpaulin --help

Currently no options are required, if no root directory is defined Tarpaulin will run in the current working directory.

Below is a Tarpaulin run utilising one of our example projects. This is a relatively simple project to test and if you check the test, you can see the output correctly reports the lines the test hits.

cargo tarpaulin -v
[INFO tarpaulin] Running Tarpaulin
[INFO tarpaulin] Building project
    Finished dev [unoptimized + debuginfo] target(s) in 0.00s                                                                                                                                                      
[DEBUG tarpaulin] Processing simple_project
[INFO tarpaulin] Launching test
[INFO tarpaulin] running /home/xd009642/code/rust/tarpaulin/tests/data/simple_project/target/debug/deps/simple_project-b0accf6671d080e0

running 1 test
test tests::bad_test ... ok

test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out

[INFO tarpaulin] Coverage Results:
|| Uncovered Lines:
|| src/lib.rs: 6
|| src/unused.rs: 4-6
|| Tested/Total Lines:
|| src/lib.rs: 5/6
|| src/unused.rs: 0/3
|| 
55.56% coverage, 5/9 lines covered

Hint: if using coveralls.io with travis-ci run with the options --ciserver travis-ci --coveralls $TRAVIS_JOB_ID. The coveralls.io repo-token is mainly designed for private repos and it won't generate a badge for the coverage results submitted (although you can still see them on the coveralls web interface). For an example of a project using Tarpaulin, you can check out my crate keygraph-rs.

Ignoring code in files.

Tarpaulin now allows you to ignore modules or functions using config attributes. Below is an example of ignoring the main function in a project:

#[cfg_attr(tarpaulin, skip)]
fn main() {
    println!("I won't be included in results");
}

Continuous Integration Services

Tarpaulin aims to be easy to add to your CI workflow. With well tested support for Travis-CI it also supports sending CI specific meta-data to coveralls.io for Circle, Semaphore, Jenkins and Codeship (though only Jenkin's has been tested).

You can also use Tarpaulin on Azure, check out crate-ci/azure-pipelines for an example config.

Travis-ci and Coverage Sites

The expected most common usecase is launching coverage via a CI service to upload to a site like codecov or coveralls. Given the built in support and ubiquity of travis-ci it seems prudent to document the required steps here for new users. To follow these steps you'll first need a travis-ci and a project setup for your coverage reporting site of choice.

We recommend taking the minimal rust .travis.yml, installing the libssl-dev dependency tarpaulin has and then running Tarpaulin with the version of rustc you require. Tarpaulin is installed in before_cache to allow it to be cached and prevent having to reinstall every Travis run. You can also replace cargo test with a verbose run of tarpaulin to see the test results as well as coverage output.

For codecov.io you'll need to export CODECOV_TOKEN are instructions on this in the settings of your codecov project.

language: rust
sudo: required
dist: trusty
addons:
    apt:
        packages:
            - libssl-dev
cache: cargo
rust:
  - stable
  - beta
  - nightly
matrix:
  allow_failures:
    - rust: nightly

before_cache: |
  if [[ "$TRAVIS_RUST_VERSION" == stable ]]; then
    cargo install cargo-tarpaulin -f
  fi

script:
- cargo clean
- cargo build
- cargo test

after_success: |
  if [[ "$TRAVIS_RUST_VERSION" == stable ]]; then
    # Uncomment the following line for coveralls.io
    # cargo tarpaulin --ciserver travis-ci --coveralls $TRAVIS_JOB_ID

    # Uncomment the following two lines create and upload a report for codecov.io
    # cargo tarpaulin --out Xml
    # bash <(curl -s https://codecov.io/bash)
  fi

Alternative, there is the travis-install shell script will install the latest tagged release built on travis to your travis instance and significantly speeds up the travis builds. You can install via that script using bash <(curl https://raw.githubusercontent.com/xd009642/tarpaulin/master/travis-install.sh).

CircleCI

To run tarpaulin on CircleCI you need to run tarpaulin in docker and set the machine flag to true as shown below:

jobs:
  coverage:
    machine: true
    steps:
      - checkout
      - run:
          name: Coverage with docker
          command: docker run --security-opt seccomp=unconfined -v "${PWD}:/volume" xd009642/tarpaulin

Docker

Tarpaulin has builds deployed to docker-hub, to run Tarpaulin on any system that has Docker, run this in your project directory:

docker run --security-opt seccomp=unconfined -v "${PWD}:/volume" xd009642/tarpaulin

This builds your project inside Docker and runs Tarpaulin without any arguments. There are also tags available for the latest version on the develop branch in stable or nightly. And versions after 0.5.6 will have the latest release built with the rust stable and nightly compilers. To get the latest development version built with rustc-nightly run the following:

docker run --security-opt seccomp=unconfined -v "${PWD}:/volume" xd009642/tarpaulin:develop-nightly

Note that the build might fail if the Docker image doesn't contain any necessary dependencies. In that case, you can install dependencies before, like this:

docker run --security-opt seccomp=unconfined -v "${PWD}:/volume" xd009642/tarpaulin sh -c "apt-get install xxx && cargo tarpaulin"

Extending Tarpaulin.

There are some tools available which can extend tarpaulin functionality for other potential user needs.

Procedural Macros

Normally, Tarpaulin can't report on code coverage within the code for a procedural macro. You'll need to add a test that expands the macro at run-time in order to get those stats. The runtime-macros crate was made for this purpose, and its documentation describes how to use it with Tarpaulin.

Pycobertura

pycobertura is a python library for working with cobertura reports. It offers a report diffing tool as well as it's own report implementations.

To generate a cobertura.xml simply run the following tarpaulin command:

cargo tarpaulin --out Xml

Then install pycobertura with pip and execute the desired command.

As tarpaulin doesn't allow you to change the name of the generated cobertura report be mindful of this if diffing reports between multiple commits.

Issues and Contributing

Issues, feature requests and pull requests are always welcome! For a guide on how to approach bugs found in Tarpaulin and adding features please check CONTRIBUTING.

Rust 1.23 introduced a regression in the compiler affecting tarpaulin's accuracy. If you see missing lines or files, check your compiler version.

Roadmap

  • Line coverage for tests
  • Branch coverage for tests
  • Condition coverage for tests
  • Annotated coverage reports
  • Coverage reports in the style of existing tools (i.e. kcov)
  • Integration with 3rd party tools like coveralls or codecov
  • Optional coverage statistics for doctests
  • MCDC coverage reports
  • OSX support
  • Windows support

License

Tarpaulin is currently licensed under the terms of both the MIT license and the Apache License (Version 2.0). See LICENSE-MIT and LICENSE-APACHE for more details.

Thanks

I wouldn't have been able to make progress as quickly in this project without Joseph Kain's blog on writing a debugger in Rust and C. It's a great read, so I recommend you check it out here.

Dependencies

~44MB
~1M SLoC