python-code-quality 0.1.6

Python Code Quality Analysis Tool - feed the results from 11 CQ CQ straight into an LLM.

CQ - Python Code Quality Analysis Tool

Python Code Quality Analysis Tool - feed the results from 11 CQ tools straight into an LLM. The primary workflow is:

cq check -o llm   # get the single most critical defect as markdown

Feed that output to an LLM, apply the fix, repeat until the score is clean.

Install

uv tool install python-code-quality

# or
git pull https://github.com/rhiza-fr/py-cq.git
cd py-cq
uv tool install .

Tools

CQ runs these tools in parallel:

Priority	Tool	Measures
1	compileall	Syntax errors
2	bandit	Security vulnerabilities
3	ruff	Lint / style
4	ty	Type errors
5	pytest	Test pass rate
6	coverage	Test coverage
7	radon cc	Cyclomatic complexity
8	radon mi	Maintainability index
9	radon hal	Halstead volume / bug estimate
10	vulture	Dead code
11	interrogate	Docstring coverage

Usage

# LLM workflow: get the top defect as markdown (primary use case)
cq check -o llm

# Rich table with all metrics (default, also saves .cq.json)
cq check

# Numeric score only — useful in CI or scripts
cq check -o score

# Full JSON output
cq check -o json

# Explicit path (defaults to current directory)
cq check path/to/project/
cq check path/to/file.py

# Run sequentially (1 worker) instead of in parallel
cq check --workers 1

# Clear cached results before running
cq check --clear-cache

# Save table output to a custom file
cq check --out-file custom_results.json

# Show effective tool configuration (thresholds, enabled/disabled status)
cq config
cq config path/to/project/

Output

> cq check .

┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓
┃ Tool             ┃     Time ┃                    Metric ┃ Score   ┃ Status   ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩
│ compile          │    0.42s │                   compile │ 1.000   │ OK       │
│ bandit           │    0.56s │                  security │ 1.000   │ OK       │
│ ruff             │    0.17s │                      lint │ 1.000   │ OK       │
│ ty               │    0.33s │                type_check │ 1.000   │ OK       │
│ pytest           │    0.91s │                     tests │ 1.000   │ OK       │
│ coverage         │    1.26s │                  coverage │ 0.910   │ OK       │
│ radon cc         │    0.32s │                simplicity │ 0.982   │ OK       │
│ radon mi         │    0.38s │           maintainability │ 0.869   │ OK       │
│ radon hal        │    0.30s │             file_bug_free │ 0.928   │ OK       │
│ radon hal        │          │            file_smallness │ 0.851   │ OK       │
│ radon hal        │          │        functions_bug_free │ 0.913   │ OK       │
│ radon hal        │          │       functions_smallness │ 0.724   │ OK       │
│ vulture          │    0.32s │                 dead_code │ 1.000   │ OK       │
│ interrogate      │    0.36s │              doc_coverage │ 1.000   │ OK       │
│                  │          │                     Score │ 0.965   │          │
└──────────────────┴──────────┴───────────────────────────┴─────────┴──────────┘

> cq check . -o score

0.9662730667181059 # this is designed to approach but not reach 1.0

> cq check . -o llm

`data/problems/travelling_salesman/ts_bad.py:21` — **F841**: Local variable `unused_variable` is assigned to but never used

18:     min_dist = float("inf")
19:     nearest_city = None
20:     for city in cities:
21:         unused_variable = 67
22:         dist = calc_dist(current_city, city)
23:         if dist < min_dist:
24:             min_dist = dist
25:             nearest_city = city

Please fix only this issue. After fixing, run `cq check . -o llm` to verify.

Configuration

Add a [tool.cq] section to your project's pyproject.toml:

[tool.cq]
# Skip tools that are slow or not relevant to your project
disable = ["coverage", "interrogate"]

# Override warning/error thresholds per tool
[tool.cq.thresholds.coverage]
warning = 0.9
error = 0.7

Tool IDs match the keys in config/tools.yaml: compilation, bandit, ruff, ty, pytest, coverage, complexity, maintainability, halstead, vulture, interrogate.

LLM workflow

-o llm selects the single worst-scoring tool and formats its top defect as concise markdown. The LLM fixes it, you re-run cq check -o llm, and repeat until all tools are green. Priority order ensures the most critical category (security, type errors, failing tests) is fixed before cosmetic ones.

Tools

Many thanks to all the wonderful maintainers of :

• compileall
• bandit
• ruff
• ty
• pytest
• coverage.py
• radon
• vulture
• interrogate