phi-complexity 0.2.1

Code quality metrics based on Golden Ratio (φ) mathematical invariants

phi-complexity

Code quality metrics based on Golden Ratio (φ) mathematical invariants

phi-complexity is the first code quality library that measures the health of your Python code using universal mathematical invariants derived from the Golden Ratio (φ = 1.618...).

Unlike pylint (cultural rules) or radon (McCabe metrics), phi-complexity answers:

"Is this code in resonance with the natural laws of order, or is it collapsing under its own entropy?"

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⚡ Quick Start

pip install phi-complexity

# Audit a file
phi check my_script.py

# Audit a folder
phi check ./src/

# Generate a Markdown report
phi report my_script.py --output report.md

# CI/CD strict mode (exit 1 if radiance < 75)
phi check ./src/ --min-radiance 75

Python API

from phi_complexity import auditer, rapport_console, rapport_markdown

# Get metrics as a dict
metrics = auditer("my_script.py")
print(metrics["radiance"])          # → 82.4
print(metrics["statut_gnostique"])  # → "EN ÉVEIL ◈"
print(metrics["oudjat"])            # → {"nom": "process_data", "ligne": 42, ...}

# Print console report
print(rapport_console("my_script.py"))

# Save Markdown report
rapport_markdown("my_script.py", sortie="report.md")

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📊 Metrics

Metric	Description	Mathematical basis
Radiance Score	Global quality score (0–100)	100 - f(Lilith) - g(H) - h(Anomalies) - i(Fib)
Variance de Lilith	Structural instability	Population variance of function complexities
Shannon Entropy	Information density	H = -Σ p·log₂(p)
φ-Ratio	Dominant function ratio	max_complexity / mean → should tend toward φ
Fibonacci Distance	Natural size alignment	`Σ
Zeta-Score	Global resonance	ζ_meta(functions, φ) converging series

Gnostic Status Levels

Score	Status	Meaning
≥ 85	HERMÉTIQUE ✦	Stable, harmonious, production-ready
60–84	EN ÉVEIL ◈	Potential exists, some entropy zones
< 60	DORMANT ░	Deep restructuring recommended

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🧭 Command Stability Matrix

Command	Stability	Purpose	Output / Side-effects
phi check	Stable	Audit radiance for files/folders	Console or JSON (no writes)
phi report	Stable	Markdown report	Writes report.md if --output
phi oracle	Stable	Release gate (radiance + tests)	Console; exits 1 on failure
phi harvest	Experimental	AST vectors collection	Writes .phi/harvest.jsonl
phi metadata	Experimental	Metadata summary & purge (harvest/vault)	Summaries; sanitized JSONL
phi vault / phi graph / phi canvas	Experimental	Vault storage + graph export + Obsidian canvas	Writes under .phi/ (JSON, DOT/ASCII, .canvas)
phi search	Experimental	Query the vault	Console/JSON; reads .phi/vault.jsonl
phi seal / phi heal	Experimental	Seal + auto-suture via LLM	May call local LLM (--url); writes seal metadata in .phi/
phi spiral	Experimental	Radiance spiral visualization	Console ASCII only

Tip: keep phi check/phi report/phi oracle in CI. Use experimental commands locally first and pin outputs under .phi/ in .gitignore if not needed in VCS.

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🔍 Sample Output

╔══════════════════════════════════════════════════╗
║      PHI-COMPLEXITY — AUDIT DE RADIANCE          ║
╚══════════════════════════════════════════════════╝

  📄 Fichier : my_script.py
  📅 Date    : 2026-04-08 17:11

  ☼  RADIANCE     : ██████████████░░░░░░  72.6 / 100
  ⚖  LILITH       : 11221.9  (Structural variance)
  🌊 ENTROPIE     : 2.48 bits  (Shannon)
  ◈  PHI-RATIO    : 3.43  (ideal: φ = 1.618, Δ=1.81)
  ζ  ZETA-SCORE   : 0.3656  (Global resonance)

  STATUT : EN ÉVEIL ◈

  🔎 OUDJAT : 'process_data' (Line 42, Complexity: 376)

  ⚠  SUTURES IDENTIFIED (2):
  🟡 Line 18 [LILITH] : Nested loop (depth 2). Consider a helper function.
     >> for j in range(b):
  🔵 Line 67 [SOUVERAINETE] : 'load_data' receives 6 arguments. Encapsulate in an object.
     >> def load_data(path, sep, enc, cols, dtype, na):

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🚀 CI Innovation Suite (Open Source)

phi-complexity embarque maintenant une suite orientée productivité/dev/ops :

• AI AutoFix Studio : règles de mutation déterministes pour appliquer rapidement des corrections CI.
• Flow Intelligence : classification dédiée des annulations liées à la concurrence (WORKFLOW_CONCURRENCY_CANCELLED).
• Runner Sentinel : détection explicite des blocages de queue runner (RUNNER_QUEUE_STALL).
• Ops & Engineering Control Plane : snapshot exportable JSON/Markdown (succès/échecs/cancelled, MTTR, causes racines, tendances).
• Dev Productivity Environment : .devcontainer + Makefile + commande make ci-local pour reproduire le pipeline localement.

make setup
make ci-local

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🧮 Mathematical Foundations

The Radiance Formula is derived from:

• φ-Meta Framework (Tomy Verreault, 2026) — Axioms AX-A0 through AX-A58
• Law of Antifragility (EQ-AFR-BMAD): φ_{t+1} = P_φ(φ_t + k·Var(E_t)·E_t)
• Cybernetics (Korchounov, Mir, 1975) — Feedback and variance as control metrics
• Shannon Information Theory — Code as an information channel

The Sovereign Coding Rules are derived from:

• The C Book (Banahan, Brady, Doran) — Scope hermeticity, resource lifecycle
• JaCaMo / Multi-Agent Programming — Agent independence and encapsulation

Full mathematical proof: docs/MATHEMATIQUES.md

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🏗 Sovereign Architecture

Zero external dependencies.
Pure Python standard library (ast, math, json).

phi_complexity/
├── core.py        ← Golden constants (PHI, TAXE_SUTURE, ETA_GOLDEN...)
├── analyseur.py   ← AST fractal dissection
├── metriques.py   ← Radiance Index calculation
├── rapport.py     ← Console / Markdown / JSON rendering
└── cli.py         ← phi check / phi report

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🔗 Integration

Pre-commit Hook

repos:
  - repo: https://github.com/spockoo/phi-complexity
    rev: v0.1.0
    hooks:
      - id: phi-check
        args: [--min-radiance, "70"]

GitHub Action

- name: Phi-Complexity Audit
  run: |
    pip install phi-complexity
    phi check ./src/ --min-radiance 75

Secrets (ADMIN_TOKEN)

• Never commit ADMIN_TOKEN in tracked files.
• Store it in environment variables or GitHub Actions Secrets.
• Use .env.example as a template only:

ADMIN_TOKEN=

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📜 License

MIT — Tomy Verreault, 2026

Anchored in the Bibliothèque Céleste — Morphic Phi Framework (φ-Meta)

🔒 Sécurité : Activation du contrôle phi-check

Ce projet utilise un contrôle automatique (pré-commit) qui bloque tout ajout de code contenant certains mots ou outils réservés (par exemple des scripts ou outils reconnus de piratage).

Pour installer et activer le contrôle localement :

pip install pre-commit
pre-commit install

Le contrôle phi-check se lance alors automatiquement à chaque commit.