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QGIS Plugin Analyzer 🛡️

👉 View Full Rules Catalog (RULES.md)

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Quality Metrics:

Module Stability Maintainability Security Score Type Coverage Docstring Coverage Tests

The QGIS Plugin Analyzer is a static analysis tool designed specifically for QGIS (PyQGIS) plugin developers. Its goal is to elevate plugin quality by ensuring they follow community best practices and are optimized for AI-assisted development.

✨ Main Features

Security & correctness

  • Bandit-inspired Security Core: Detects eval/exec (B307/B102), unsafe pickle (B301), shell=True (B602), SQL injection (B608) and hardcoded secrets; findings carry CWE ids.
  • Deep Entropy Secret Scanner: Detects hardcoded API keys, passwords and tokens via regex + information entropy.
  • Extended Safety Audit: Signal leaks, missing slots and UI-blocking loops, with QgsTask suggestions.
  • Qt Resource Validation: Detects missing/broken resource paths (:/plugins/...).

QGIS standards & modernization

  • Precise AST rules: i18n (self.tr() / QCoreApplication.translate()), obsolete API, protected members, mandatory cleanup, iface-as-argument, and more.
  • Qt6 Migration Rules: 11 AST-based QT6_* rules (drop-in parity with flake8-qgis QGS4xx) detecting APIs removed in Qt6.
  • Official Repository Compliance: Validates binaries, package size and metadata URLs before upload.

Quality & maintainability

  • Cyclomatic Complexity Gate: --max-cc N fails CI when a function exceeds the threshold (cc_gate/cc_violations in --json).
  • Design Patterns & Anti-patterns: Detects singleton/factory/observer/strategy/decorator, plus GOD_OBJECT, SPAGHETTI_CODE, MAGIC_NUMBER, DEAD_CODE.
  • Halstead Metrics & Optimizations: Per-module Halstead metrics and module_too_large / complexity_refactoring suggestions.
  • Transversal # noqa: Suppress any rule inline with # noqa (whole line) or # noqa: RULE_ID (single rule).
  • Enhanced Configuration Profiles: Rule-level severity control (error, warning, info, ignore) via pyproject.toml.
  • Integrated Ruff Analysis: Runs Ruff through the active interpreter, exposing ruff_metadata.tool_unavailable when unavailable.

Architecture & performance

  • High-Performance Engine: ProcessPoolExecutor with single-pass AST traversal, shared worker context, a configurable worker count (--workers) and file batching.
  • Deep Semantic Analysis: Cross-file dependency graph (Mermaid), circular-import detection and coupling metrics.
  • Project Auto-Detection: Distinguishes official QGIS plugins from generic Python projects and tailors validation accordingly.
  • Advanced Ignore Engine: .analyzerignore with non-anchored patterns and smart default excludes (.venv, build, …).

DX & integration

  • Interactive Auto-Fix: AST-based fixes (GDAL imports, PyQt bridge, logging, i18n) with Git-status verification and diff preview.
  • CI Output Contract: --json, --include-content, and a versioned/schema'd project_context.json (schema_version, analyzer_version, ruff_metadata, patterns, optimizations).
  • Quality Gates in CI: ruff + mypy + pytest (coverage floor) and the --max-cc self-analysis gate on Python 3.11–3.13.
  • Embedded Web Server: Built-in serve command to browse HTML reports.
  • Real-time Progress: CLI progress bar with ETA tracking.
  • Zero Runtime Dependencies: Standard library only (Ruff is the only external tool).

🆕 What's New in v1.15.2

B102/B307 false-positive fix — the restored security scanner no longer flags ordinary Qt method calls.

  • 🎯 exec/eval rule fixed - QDialog.exec(), self.dlg.exec() and other attribute/method calls are no longer reported as builtin arbitrary code execution; only bare exec(...)/eval(...) are flagged.
  • 🧪 Regression tests - attribute .exec()/.eval() are asserted to be ignored.

📖 Full Release Notes | 🗺️ CLI Commands Roadmap

🚀 Installation and Usage

If you have uv installed, you can install the analyzer quickly and in isolation:

1. As a global tool (isolated):

uv tool install git+https://github.com/geociencio/qgis-plugin-analyzer.git

2. Standard pip installation (Git):

pip install git+https://github.com/geociencio/qgis-plugin-analyzer.git

3. Local installation for development:

git clone https://github.com/geociencio/qgis-plugin-analyzer
cd qgis-plugin-analyzer
uv sync

Installation with pip:

pip install .

Main Commands:

1. Analyze a Plugin (Full Analysis):

qgis-analyzer analyze /path/to/your/plugin -o ./quality_report

2. Specialized Analysis (NEW in v1.9.0):

# Internationalization audit only
qgis-analyzer analyze i18n /path/to/your/plugin

# Security vulnerability scanning only
qgis-analyzer analyze security /path/to/your/plugin

# Performance and UI blocking detection only
qgis-analyzer analyze performance /path/to/your/plugin

# Dependency and coupling analysis only
qgis-analyzer analyze architecture /path/to/your/plugin

# QGIS metadata validation only
qgis-analyzer analyze metadata /path/to/your/plugin

3. Auto-Fix issues (Dry Run):

qgis-analyzer fix /path/to/your/plugin

4. Legacy Support: The default command remains analysis if no subcommand is specified:

qgis-analyzer /path/to/your/plugin

🔄 Pre-commit Hook

You can run qgis-plugin-analyzer automatically before every commit to ensure quality. Add this to your .pre-commit-config.yaml:

  - repo: https://github.com/geociencio/qgis-plugin-analyzer
    rev: main  # Use 'main' for latest features or a specific tag like v1.5.0
    hooks:
      - id: qgis-plugin-analyzer

🤖 GitHub Action

Use it directly in your CI/CD workflows:

steps:
  - uses: actions/checkout@v4
  - name: Run QGIS Quality Check
    uses: geociencio/qgis-plugin-analyzer@main
    with:
      path: .
      output: quality_report
      args: --profile release

⚙️ Configuration (pyproject.toml)

You can customize the analyzer's behavior using a [tool.qgis-analyzer] section in your pyproject.toml.

[tool.qgis-analyzer]
# Profiles allow different settings for CI vs Local
[tool.qgis-analyzer.profiles.default]
strict = false
generate_html = false  # CLI default

[tool.qgis-analyzer.profiles.release]
strict = true
fail_on_error = true

[tool.qgis-analyzer.profiles.default.rules]
GDAL_DIRECT_IMPORT = "error"    # Ban direct 'import gdal'
IFACE_AS_ARGUMENT = "warning"   # Warn on iface passed as an argument
MANUAL_RESOURCE_PATH = "ignore" # Ignore resource path checks

# i18n rule configuration (AST-based):
[tool.qgis-analyzer.profiles.default.rules.MISSING_I18N]
extra_ignore_calls = ["customSetLabel"]
extra_exact_ignores = ["My App Name"]

⚠️ Technical Limitations

This tool performs Static Analysis (AST & Regex parsing). It does not execute your code or load QGIS libraries.

  • Dynamic Imports: Imports inside functions or conditional blocks might be analyzed differently than top-level imports.
  • Runtime Validation: Checks like "Missing Resources" rely on static string analysis of .qrc files and path strings. It cannot verify resources loaded dynamically at runtime.
  • False Positives: While we strive for accuracy, complex meta-programming or unusual patterns might trigger false positives. Use # noqa or .analyzerignore to handle these cases.

⌨️ Full CLI Reference

Note: The Python package is named qgis-plugin-analyzer, but the command-line tool is installed as qgis-analyzer.

qgis-analyzer analyze [scope] [path]

Audits an existing QGIS plugin repository with optional specialized scopes.

NEW in v1.9.0: Specialized analysis scopes for targeted auditing.

Available Scopes:

  • i18n - Internationalization and translation audit (detects untranslated strings)
  • security - Security vulnerability scanning (unsafe calls, hardcoded secrets, SQL injection)
  • performance - Performance and UI blocking detection (blocking loops, missing indexes)
  • architecture - Dependency and coupling analysis (imports, QGIS API usage)
  • metadata - QGIS metadata validation (metadata.txt compliance)
  • all or no scope - Full analysis (default, legacy compatible)

Arguments:

Argument Description Default
scope (Optional) Analysis scope: i18n, security, performance, architecture, metadata, or all. all
project_path (Required) Path to the plugin directory to analyze. .
-o, --output Directory where HTML/Markdown reports will be saved. ./analysis_results
-r, --report Explicitly generate detailed HTML/Markdown reports. False
-p, --profile Configuration profile from pyproject.toml (default, release). default
--json Emit machine-readable JSON (project_context.json) to stdout. False
--include-content Embed module source content in the JSON output. False
--max-cc N Fail analysis if any function exceeds this cyclomatic complexity. off
--workers N Number of parallel worker processes (clamped to 1..4 to bound memory). min(4, cpu-1)

Examples:

# Full analysis (legacy compatible)
qgis-analyzer analyze .
qgis-analyzer analyze /path/to/plugin

# Specialized i18n analysis
qgis-analyzer analyze i18n .

# Security-only scan with reports
qgis-analyzer analyze security . --report

qgis-analyzer fix

Automatically fix common QGIS issues identified during analysis.

Argument Description Default
path (Required) Path to the plugin directory. N/A
--dry-run Show proposed changes without applying them. True
--apply Apply fixes to the files (disables dry-run). False
--auto-approve Apply fixes without interactive confirmation. False
--rules Comma-separated list of rule IDs to fix. Fix all
-o, --output Directory to read previous analysis from. ./analysis_results

qgis-analyzer summary

Shows a professional, color-coded summary of findings directly in your terminal.

Argument Description Default
-b, --by Granularity of the summary: total, modules, functions, classes, security. total
-i, --input Path to the project_context.json file to summarize. analysis_results/project_context.json

qgis-analyzer security

Performs a focused security scan on a file or directory.

Argument Description Default
path (Required) Path to the file or directory to scan. N/A
--deep Run more intensive (but slower) security checks. False
-p, --profile Configuration profile. default

qgis-analyzer version

Shows the current version of the analyzer.

Example:

# Executive summary
qgis-analyzer summary

# Identify high-complexity functions
qgis-analyzer summary --by functions

qgis-analyzer list-rules

Displays the full catalog of implemented QGIS audit rules with their severity and descriptions.

qgis-analyzer graph

Visualizes the project's dependency graph.

Argument Description Default
project_path Path to the plugin directory. .
--format Output format: text or mermaid. text

qgis-analyzer serve

Starts a local web server to view the generated HTML reports.

Argument Description Default
path Path to the analysis results directory. ./analysis_results
--port Port to run the server on. 8000

qgis-analyzer init

Initializes a recommended .analyzerignore file in the current directory with common Python and QGIS development exclusions.

📊 Generated Reports

Written to the --output directory (default ./analysis_results):

  • project_context.json — machine-readable contract (schema v1):
    • Top level: schema_version, analyzer_version, project_name, project_path, analyzed_at, metrics.
    • ruff_findings + ruff_metadata (exit_code, tool_unavailable, command).
    • patterns (design patterns) and optimizations (module_too_large, complexity_refactoring).
    • Per module: path, lines, complexity, imports, functions, classes, ast_issues, research_metrics (type-hint/docstring coverage, halstead).
    • cc_gate / cc_violations when --max-cc is used with --json.
  • PROJECT_SUMMARY.md / PROJECT_SUMMARY.html — human-readable report.
  • analyzer.log — run log.

The JSON is consumed by ai-context-core; keep the schema keys stable (bump schema_version on change).

📜 Audit Rules

For a complete list of all implemented checks, their severity, and recommendations, please refer to the:

👉 Detailed Rules Catalog (RULES.md)

📚 References and Standards

The development of this analyzer is based on official QGIS community guidelines, geospatial standards, and industry best practices:

Official QGIS Documentation

Industry & Community Standards

Security Standards

  • Bandit (PyCQA): The security rules implemented (B1xx - B6xx) are directly derived from the Bandit project's rule set for identifying common security issues in Python code.
  • CWE (Common Weakness Enumeration): Security findings are mapped to standard CWE IDs (e.g., CWE-78 Command Injection, CWE-89 SQL Injection) for industry-standard classification.
  • OWASP Top 10: The "Hardcoded Secret" and "Injection" checks align with critical OWASP vulnerabilities.

Internal Resources

🛠️ Contributing

Contributions are welcome! Please refer to our Contributing Guide to learn how to report bugs, propose rules, and submit code changes.

Audit rules are located in src/analyzer/rules/ (regex catalog) and src/analyzer/visitors/ (AST visitors). Feel free to add new rules following the existing pattern!


⚖️ License

This project is licensed under the GNU General Public License v3 (GPL v3). See the LICENSE file for details.


Developed for the SecInterp team and the QGIS community.

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