Python
Language-specific properties
Discover and update the Python-specific properties in Administration > General Settings > Languages > Python.
Handling project Python version
Python code is analyzed by default as compatible with python 2 and python 3. Some issues will be automatically silenced to avoid raising False Positives. In order to get a more precise analysis you can specify the Python versions your code supports via the sonar.python.version
parameter.
The accepted format is a comma-separated list of versions having the format "X.Y". Here are some examples:
sonar.python.version=2.7
sonar.python.version=3.8
sonar.python.version=2.7, 3.7, 3.8, 3.9
This parameter can be used in the sonar-project.properties file or the SonarScanner CLI command.
Custom rules
Overview
The Python analyzer parses the source code, creates an abstract syntax tree (AST), and then walks through the entire tree. A coding rule is a visitor that is able to visit nodes from this AST.
As soon as the coding rule visits a node, it can navigate its children and log issues if necessary.
Writing a plugin
Custom rules for Python can be added by writing a SonarQube Plugin and using Python analyzer APIs. Here are the steps to follow:
Create a SonarQube plugin
- Create a standard SonarQube plugin project.
- Attach this plugin to the SonarQube Python analyzer through the
pom.xml
:- Add the dependency to the Python analyzer.
- Add the following line in the sonar-packaging-maven-plugin configuration.
<requirePlugins>python:2.0-SNAPSHOT</requirePlugins>
- Implement the following extension points:
- Plugin
- RulesDefinition and PythonCustomRuleRepository, which can be implemented by a single class, to declare your custom rules.
- Declare the RulesDefinition as an extension in the Plugin extension point.
Implement a rule
- Create a class that will hold the implementation of the rule, it should:
- extend
PythonVisitorCheck
orPythonSubscriptionCheck
. - define the rule name, key, tags, etc. with Java annotations.
- extend
- declare this class in the
RulesDefinition
.
Example plugin
A sample plugin can be found here: python-custom-rules to help you get started.
Implementation details
Using PythonVisitorCheck
To explore a part of the AST, override a method from PythonVisitorCheck
. For example, if you want to explore "if statement" nodes, override the visitIfStatement
method that will be called each time an ifStatement node is encountered in the AST.
When overriding a visit method, you must call the super method in order to allow the visitor to visit the children of the node.
Using PythonSubscriptionCheck
To explore a part of the AST, override PythonSubscriptionCheck#initialize
and call SubscriptionCheck.Context#registerSyntaxNodeConsumer
with the Tree#Kind
of node you want to visit. For example, if you want to explore "if statement", you should register to the kind Tree#Kind#IF_STATEMENT
and then provide a lambda that will consume a SubscriptionContext
to act on such nodes.
Create issues
From the check, an issue can be created by calling the SubscriptionContext#addIssue
method or a PythonVisitorCheck
#addIssue
method.
Testing checks
You can use the PythonCheckVerifier#verify
method to test custom checks. Don't forget to add the testkit dependency to access this class from your project:
You should end each line having an issue with a comment in the following form:
Comment syntax is described here.
Configuring plugins for analyzer loading optimization
When the loading of analyzers is optimized (see Improving performance), SonarQube will only download analyzers and third-party plugins for the detected languages before running an analysis.
When creating custom plugins, to prevent errors when projects are analyzed, you must use the requiredForLanguages
property in your plugin's pom.xml
file to specify the languages your plugin supports. Without this property, your plugin will be executed unconditionally during analysis, even when its language-specific dependencies are unavailable. See Plugin basics for details on this behavior and the requiredForLanguages
property.
Related Pages
- Importing external issues (Pylint, Bandit, Flake8)
- Test coverage and execution (the Coverage tool provided by Ned Batchelder, Nose, pytest)
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