qodana
is a simple cross-platform command-line tool to run Qodana linters anywhere with minimum effort required.
tl;dr
Install and run:
qodana scan --show-report
You can also add the linter by its name with the --linter
option (e.g. --linter jetbrains/qodana-js
).
Table of Contents
Installation
💡 The Qodana CLI is distributed and run as a binary. The Qodana linters with inspections are Docker Images.
- You must have Docker installed and running locally to support this: https://www.docker.com/get-started
- If you are using Linux, you should be able to run Docker from the current (non-root) user (https://docs.docker.com/engine/install/linux-postinstall/#manage-docker-as-a-non-root-user)
macOS and Linux
Homebrew (recommended)
Install withbrew install jetbrains/utils/qodana
Install with our installer
curl -fsSL https://jb.gg/qodana-cli/install | bash
Windows
Windows Package Manager (recommended)
Install withwinget install -e --id JetBrains.QodanaCLI
Chocolatey
Install withchoco install qodana
Scoop
Install withscoop bucket add jetbrains https://github.com/JetBrains/scoop-utils
scoop install qodana
Anywhere else
Alternatively, you can install the latest binary (or the apt/rpm/deb package) from this page.
Usage
Get.Started.with.Qodana.CLI.mp4
Prepare your project
Before you start using Qodana, you need to configure your project – choose a linter to use. If you know what linter you want to use, you can skip this step.
Also, Qodana CLI can choose a linter for you. Just run the following command in your project root:
qodana init
Analyze your project
Right after you configured your project (or remember linter's name you want to run), you can run Qodana inspections simply by invoking the following command in your project root:
qodana scan
- After the first Qodana run, the following runs will be faster because of the saved Qodana cache in your project (defaults to
./<userCacheDir>/JetBrains/<linter>/cache
) - The latest Qodana report will be saved to
./<userCacheDir>/JetBrains/<linter>/results
– you can find qodana.sarif.json and other Qodana artifacts (like logs) in this directory.
View the report
After the analysis, the results are saved to ./<userCacheDir>/JetBrains/<linter>/results
by default.
Inside the directory ./<userCacheDir>/JetBrains/<linter>/results/report
, you can find a Qodana HTML report.
To view it in the browser, run the following command from your project root:
qodana show
You can serve any Qodana HTML report regardless of the project if you provide the correct report path.
Configuration
To find more CLI options run qodana ...
commands with the --help
flag.
If you want to configure Qodana or a check inside Qodana,
consider
using qodana.yaml
to have the same configuration on any CI you use and your machine.
In some flags help texts you can notice that the default path contains
<userCacheDir>/JetBrains
. The<userCacheDir>
differs from the OS you are running Qodana with.
- macOS:
~/Library/Caches/
- Linux:
~/.cache/
- Windows:
%LOCALAPPDATA%\
Also, you can just runqodana show -d
to open the directory with the latest Qodana report.
init
Configure a project for Qodana
Synopsis
Configure a project for Qodana: prepare Qodana configuration file by analyzing the project structure and generating a default configuration qodana.yaml file.
qodana init [flags]
Options
-f, --force Force initialization (overwrite existing valid qodana.yaml)
-h, --help help for init
-i, --project-dir string Root directory of the project to configure (default ".")
scan
Scan project with Qodana
Synopsis
Scan a project with Qodana. It runs one of Qodana Docker's images (https://www.jetbrains.com/help/qodana/docker-images.html) and reports the results.
Note that most options can be configured via qodana.yaml (https://www.jetbrains.com/help/qodana/qodana-yaml.html) file. But you can always override qodana.yaml options with the following command-line options.
qodana scan [flags]
Options
-l, --linter string Override linter to use
-i, --project-dir string Root directory of the inspected project (default ".")
-o, --results-dir string Override directory to save Qodana inspection results to (default <userCacheDir>/JetBrains/<linter>/results)
--cache-dir string Override cache directory (default <userCacheDir>/JetBrains/<linter>/cache)
-e, --env stringArray Define additional environment variables for the Qodana container (you can use the flag multiple times). CLI is not reading full host environment variables and does not pass it to the Qodana container for security reasons
-v, --volume stringArray Define additional volumes for the Qodana container (you can use the flag multiple times)
-u, --user string User to run Qodana container as. Please specify user id – '$UID' or user id and group id $(id -u):$(id -g). Use 'root' to run as the root user (default: the current user)
--skip-pull Skip pulling the latest Qodana container
--print-problems Print all found problems by Qodana in the CLI output
--clear-cache Clear the local Qodana cache before running the analysis
-w, --show-report Serve HTML report on port
--port int Port to serve the report on (default 8080)
-a, --analysis-id string Unique report identifier (GUID) to be used by Qodana Cloud
-b, --baseline string Provide the path to an existing SARIF report to be used in the baseline state calculation
--baseline-include-absent Include in the output report the results from the baseline run that are absent in the current run
--commit string Base changes commit to reset to, useful with --script local-changes: analysis will be run only on changed files since commit X, 'reset' will be cancelled once the analysis is finished if the commit prefix does not contain CI prefix
--fail-threshold string Set the number of problems that will serve as a quality gate. If this number is reached, the inspection run is terminated with a non-zero exit code
--disable-sanity Skip running the inspections configured by the sanity profile
-d, --source-directory string Directory inside the project-dir directory must be inspected. If not specified, the whole project is inspected
-n, --profile-name string Profile name defined in the project
-p, --profile-path string Path to the profile file
--run-promo string Set to 'true' to have the application run the inspections configured by the promo profile; set to 'false' otherwise (default: 'true' only if Qodana is executed with the default profile)
--script string Override the run scenario (default "default")
--stub-profile string Absolute path to the fallback profile file. This option is applied in case the profile was not specified using any available options
--property stringArray Set a JVM property to be used while running Qodana using the --property property.name=value1,value2,...,valueN notation
-s, --save-report Generate HTML report (default true)
-h, --help help for scan
show
Show a Qodana report
Synopsis
Show (serve) the latest Qodana report.
Due to JavaScript security restrictions, the generated report cannot
be viewed via the file:// protocol (by double-clicking the index.html file).
https://www.jetbrains.com/help/qodana/html-report.html
This command serves the Qodana report locally and opens a browser to it.
qodana show [flags]
Options
-d, --dir-only Open report directory only, don't serve it
-h, --help help for show
-l, --linter string Override linter to use
-p, --port int Specify port to serve report at (default 8080)
-i, --project-dir string Root directory of the inspected project (default ".")
-r, --report-dir string Specify HTML report path (the one with index.html inside) (default <userCacheDir>/JetBrains/<linter>/results/report)
view
View SARIF files in CLI
Synopsis
Preview all problems found in SARIF files in CLI.
qodana view [flags]
Options
-h, --help help for view
-f, --sarif-file string Path to the SARIF file (default "./qodana.sarif.json")
contributors
A command-line helper for Qodana pricing to calculate active contributors* in the given repository.
Synopsis
- An active contributor is anyone who has made a commit to any of the projects you’ve registered in Qodana Cloud within the last 90 days, regardless of when those commits were originally authored. The number of such contributors will be calculated using both the commit author information and the timestamp for when their contribution to the project was pushed.
** Ultimate Plus plan currently has a discount, more information can be found on https://www.jetbrains.com/qodana/buy/
qodana contributors [flags]
Options
-d, --days int Number of days since when to calculate the number of active contributors (default 30)
-h, --help help for contributors
-i, --project-dir string Root directory of the inspected project (default ".")
cloc
A command-line helper for project statistics: languages, lines of code. Powered by boyter/scc. For contributors, use "qodana contributors" command.
Synopsis
qodana cloc [flags]
Options
-h, --help help for cloc
-o, --output string Output format, can be [tabular, wide, json, csv, csv-stream, cloc-yaml, html, html-table, sql, sql-insert, openmetrics] (default "tabular")
-i, --project-dir stringArray Project directory, can be specified multiple times to check multiple projects, if not specified, current directory will be used
Why
Qodana linters are distributed via Docker images – which become handy for developers (us) and users to run code inspections in CI.
But to set up Qodana in CI, one wants to try it locally first, as there is some additional configuration tuning required that differs from project to project (and we try to be as much user-friendly as possible).
It's easy to try Qodana locally by running a simple command:
docker run --rm -it -p 8080:8080 -v <source-directory>/:/data/project/ -v <output-directory>/:/data/results/ -v <caches-directory>/:/data/cache/ jetbrains/qodana-<linter> --show-report
And that's not so simple: you have to provide a few absolute paths, forward some ports, add a few Docker options...
- On Linux, you might want to set the proper permissions to the results produced after the container run – so you need to add an option like
-u $(id -u):$(id -g)
- On Windows and macOS, when there is the default Docker Desktop RAM limit (2GB), your run might fail because of OOM (and this often happens on big Gradle projects on Gradle sync), and the only workaround, for now, is increasing the memory – but to find that out, one needs to look that up in the docs.
- That list could go on, but we've thought about these problems, experimented a bit, and created the CLI to simplify all of this.
Isn't that a bit overhead to write a tool that runs Docker containers when we have Docker CLI already? Our CLI, like Docker CLI, operates with Docker daemon via Docker Engine API using the official Docker SDK, so actually, our tool is our own tailored Docker CLI at the moment.