ruff
An extremely fast Python linter, written in Rust.
ruff documentation
- Version in MegaLinter: 0.1.14
- Visit Official Web Site
- See How to configure ruff rules
- If custom
.ruff.toml
config file isn't found, .ruff.toml will be used
- If custom
- See How to disable ruff rules in files
- See Index of problems detected by ruff
Configuration in MegaLinter
- Enable ruff by adding
PYTHON_RUFF
in ENABLE_LINTERS variable - Disable ruff by adding
PYTHON_RUFF
in DISABLE_LINTERS variable
- Enable autofixes by adding
PYTHON_RUFF
in APPLY_FIXES variable
Variable | Description | Default value |
---|---|---|
PYTHON_RUFF_ARGUMENTS | User custom arguments to add in linter CLI call Ex: -s --foo "bar" |
|
PYTHON_RUFF_COMMAND_REMOVE_ARGUMENTS | User custom arguments to remove from command line before calling the linter Ex: -s --foo "bar" |
|
PYTHON_RUFF_FILTER_REGEX_INCLUDE | Custom regex including filter Ex: (src\|lib) |
Include every file |
PYTHON_RUFF_FILTER_REGEX_EXCLUDE | Custom regex excluding filter Ex: (test\|examples) |
Exclude no file |
PYTHON_RUFF_CLI_LINT_MODE | Override default CLI lint mode - file : Calls the linter for each file- list_of_files : Call the linter with the list of files as argument- project : Call the linter from the root of the project |
list_of_files |
PYTHON_RUFF_FILE_EXTENSIONS | Allowed file extensions. "*" matches any extension, "" matches empty extension. Empty list excludes all filesEx: [".py", ""] |
[".py"] |
PYTHON_RUFF_FILE_NAMES_REGEX | File name regex filters. Regular expression list for filtering files by their base names using regex full match. Empty list includes all files Ex: ["Dockerfile(-.+)?", "Jenkinsfile"] |
Include every file |
PYTHON_RUFF_PRE_COMMANDS | List of bash commands to run before the linter | None |
PYTHON_RUFF_POST_COMMANDS | List of bash commands to run after the linter | None |
PYTHON_RUFF_UNSECURED_ENV_VARIABLES | List of env variables explicitly not filtered before calling PYTHON_RUFF and its pre/post commands | None |
PYTHON_RUFF_CONFIG_FILE | ruff configuration file nameUse LINTER_DEFAULT to let the linter find it |
.ruff.toml |
PYTHON_RUFF_RULES_PATH | Path where to find linter configuration file | Workspace folder, then MegaLinter default rules |
PYTHON_RUFF_DISABLE_ERRORS | Run linter but consider errors as warnings | false |
PYTHON_RUFF_DISABLE_ERRORS_IF_LESS_THAN | Maximum number of errors allowed | 0 |
PYTHON_RUFF_CLI_EXECUTABLE | Override CLI executable | ['ruff'] |
IDE Integration
Use ruff in your favorite IDE to catch errors before MegaLinter !
IDE | Extension Name | Install | |
---|---|---|---|
IDEA | Ruff | ||
Visual Studio Code | Ruff |
MegaLinter Flavours
This linter is available in the following flavours
Flavor | Description | Embedded linters | Info | |
---|---|---|---|---|
all | Default MegaLinter Flavor | 121 | ||
cupcake | MegaLinter for the most commonly used languages | 83 | ||
python | Optimized for PYTHON based projects | 61 |
Behind the scenes
How are identified applicable files
- File extensions:
.py
How the linting is performed
- ruff is called once with the list of files as arguments (
list_of_files
CLI lint mode)
Example calls
ruff check myfile.py
ruff check --config .ruff.toml myfile.py
Help content
Ruff: An extremely fast Python linter.
Usage: ruff [OPTIONS] <COMMAND>
Commands:
check Run Ruff on the given files or directories (default)
rule Explain a rule (or all rules)
config List or describe the available configuration options
linter List all supported upstream linters
clean Clear any caches in the current directory and any subdirectories
format Run the Ruff formatter on the given files or directories
version Display Ruff's version
help Print this message or the help of the given subcommand(s)
Options:
-h, --help Print help
-V, --version Print version
Log levels:
-v, --verbose Enable verbose logging
-q, --quiet Print diagnostics, but nothing else
-s, --silent Disable all logging (but still exit with status code "1" upon detecting diagnostics)
For help with a specific command, see: `ruff help <command>`.
Installation on mega-linter Docker image
- PIP packages (Python):