pylint_fix_patch.py

import os import re

Define file patterns to fix

py_files = [f for f in os.listdir('.') if f.endswith('.py')] for root_dir, dirs, files in os.walk('.'): for file in files: if file.endswith('.py'): py_files.append(os.path.join(root_dir, file))

Regex patterns

open_pattern = re.compile(r'open(([^)]+))') trailing_ws_pattern = re.compile(r'[ \t]+$') module_docstring_pattern = re.compile(r'^\s*(#.*)?$') # placeholder for missing module docstring

for py_file in py_files: with open(py_file, 'r', encoding='utf-8') as f: lines = f.readlines()

new_lines = []
added_module_docstring = False
for i, line in enumerate(lines):
    # Remove trailing whitespace
    line = trailing_ws_pattern.sub('', line)

    # Add encoding to open() if missing
    if 'open(' in line and 'encoding=' not in line:
        line = re.sub(open_pattern, r'open(\1, encoding="utf-8")', line)

    new_lines.append(line)

# Add module docstring if first non-empty line is not docstring
if new_lines and not (new_lines[0].strip().startswith('"""') or new_lines[0].strip().startswith('#')):
    new_lines.insert(0, '"""Module {} description."""\n'.format(os.path.basename(py_file).replace('.py', '')))

# Add placeholder class docstrings
for i, line in enumerate(new_lines):
    class_match = re.match(r'class\s+(\w+)', line)
    if class_match:
        # Check if next line is a docstring
        if i + 1 < len(new_lines) and not new_lines[i + 1].strip().startswith('"""'):
            new_lines.insert(i + 1, '    """Class {} description."""\n'.format(class_match.group(1)))

# Write back changes
with open(py_file, 'w', encoding='utf-8') as f:
    f.write('\n'.join(new_lines))

print(f"✅ Applied pylint fixes to {len(py_files)} Python files.")

Optional: create/update requirements.txt

requirements = ["bcrypt", "requests", "colorama"] with open('requirements.txt', 'w', encoding='utf-8') as f: f.write("\n".join(requirements)) print("✅ Created/updated requirements.txt")

Project One

Author: Riyaad Behardien
GitHub: Rb9906

Table of Contents

1. Overview
2. Project Structure
3. Installation
4. Usage
5. Modules & Features
6. Development Guidelines
7. Contributing
8. License

Overview

Project One is a unified AI-powered application designed for Android devices. The project integrates AI-driven components to enhance human capabilities, provide real-time data handling, and support interactive features. The application combines elements from various projects, such as Symtium AI Avatar-Create, Elysium Project, OAHDN (Open-Source AI-Powered Human Development Network), and an RPG game module.

Project Structure

The repository is organized as follows:

• /src/ - Contains the main Android project files.
  • MainActivity.java - Main interface and logic for the Android app.
  • AIModel.java - Core AI functionalities using TensorFlow.
• /assets/ - Assets like TensorFlow model files (model.h5) and other resources.
• /game_module/ - Files for the 2D RPG game core.
• /docs/ - Documentation files, including this README and project instructions.
• README.md - Guide and instructions for setup and usage.

Installation

1. Clone the Repository

   git clone https://github.com/Rb9906/Project-One.git
   cd Project-One

niblit-gateway/ ├── public/ │ └── index.html # Main UI ├── src/ │ ├── components/ │ │ ├── BrowserWindow.jsx │ │ ├── AIInteractionPanel.jsx │ │ ├── FlashPlayerEmbed.jsx │ ├── App.jsx │ └── main.js ├── plugins/ │ └── ... # Directory for AI/plugin modules ├── package.json ├── README.md niblit_pro_v0_5/ ├─ modules/ │ ├─ autonomous_configurator/ # Auto-install, register, configure software/hardware │ │ └─ configurator.py │ ├─ dna/ # DNA simulation, chromosome conversion, stem cell modeling │ │ ├─ dna_analyzer.py │ │ ├─ dna_simulator.py │ │ ├─ dna_visualizer.py │ │ ├─ chromosome_converter.py │ │ └─ stem_cell_simulator.py │ ├─ integrator/ # Hybrid system integration & evolution engine │ │ ├─ ui_engine.py │ │ ├─ hardware_parser.py │ │ ├─ software_parser.py │ │ ├─ hybrid_creator.py │ │ └─ evolution_tracker.py │ ├─ interpreter/ # Universal interpreter for multiple formats │ │ └─ universal_interpreter.py │ ├─ sdrm/ # Signal defense, collection, boosting, disruption │ │ ├─ signal_collector.py │ │ ├─ signal_converter.py │ │ ├─ signal_emitter.py │ │ ├─ signal_booster.py │ │ ├─ signal_disruptor.py │ │ └─ threat_analyzer.py │ ├─ nature_conservation/ # Environment & nature monitoring │ │ ├─ env_monitor.py │ │ └─ eco_optimizer.py │ ├─ data_management/ # API, usage, billing, tracking │ │ ├─ api_manager.py │ │ ├─ usage_tracker.py │ │ └─ billing_alert.py │ ├─ git_ai_automation/ # Git + OpenAI code generation │ │ └─ niblit_git_ai.py │ └─ puTTY/ # SSH / remote server management │ └─ puTTY_module.py ├─ niblit_main.py # Entry point to run all modules ├─ requirements.txt # All Python dependencies └─ README_full.md # Full instruction manual 2 — Installation Instructions (Step-by-Step)

Step 1 — Environment Setup

Install Python 3 or Pydroid

Optional: NodeJS, Nexus, Citra for advanced modules

Install dependencies:

pip install paramiko requests numpy matplotlib pandas openai

Step 2 — Configure API Keys

Edit modules/data_management/api_manager.py:

API_KEYS = { "openai": "YOUR_OPENAI_KEY", "weather": "YOUR_WEATHER_KEY", "currents": "YOUR_CURRENTS_KEY", "gnews": "YOUR_GNEWS_KEY", "newsapi": "YOUR_NEWSAPI_KEY", "github": "YOUR_GITHUB_KEY" }

Optional APIs can be added later for extended functionality

Step 3 — Git + GPG + SSH Configuration

Run the niblit_git_ai.py module:

Generates SSH key if missing

Generates GPG key for signed commits

Configures Git username/email

Generates example Python code via OpenAI

Pushes signed commit to GitHub

Step 4 — Main Niblit Workflow

Run the main script:

python niblit_main.py

What happens:

1. Autonomous configurator registers all modules

2. Evolution engine integrates new/legacy software and hardware

3. DNA simulations & partner modules prepare virtual constructs

4. SDRM initializes for signal monitoring & defense

5. Data collection begins according to scheduler (daily, per API)

6. Billing, usage, and API tracking modules monitor activity

7. Universal interpreter handles scripts, converts, debugs, visualizes

8. PuTTY/SSH allows remote operations

Step 5 — Daily Scheduler

Collects data once per day by default (configurable)

Generates reports: logs, API usage, threats, environment, evolution updates

3 — Collaborator Instructions

1. Place new scripts/modules in modules/

2. Register in autonomous_configurator/configurator.py

3. Update api_manager.py if new APIs are required

4. Log actions in evolution_tracker.py

5. Request module updates using this format:

Request: Module: Priority: <High/Medium/Low> Expected Outcome: API Key / Resource: Notes:

4 — Sample niblit_main.py

from modules.autonomous_configurator.configurator import Configurator from modules.integrator.ui_engine import EvolutionEngine from modules.dna.chromosome_converter import ChromosomeConverter from modules.sdrm.threat_analyzer import ThreatAnalyzer from modules.data_management.api_manager import API_KEYS

def main(): # Configure & initialize all modules config = Configurator() config.auto_configure_all()

engine = EvolutionEngine()
engine.load_modules()

# DNA example
converter = ChromosomeConverter()
x_version = converter.convert_y_to_x("Y_sample_sequence")

# Threat example
threat = {"id": "signal_001", "origin": "unknown", "threat_level": 7}
analyzer = ThreatAnalyzer()
print(analyzer.analyze(threat))

# Run daily tasks
engine.run_daily_tasks(api_keys=API_KEYS)

if name == "main": main(import os import re import textwrap

--- Helper functions ---

def is_standard_lib(module_name): """Detect if import is stdlib based on known modules.""" std_libs = { "sys", "os", "time", "threading", "asyncio", "json", "datetime", "tkinter" } return module_name.split('.')[0] in std_libs

def reorder_imports(lines): """Reorder imports: stdlib -> third-party -> local.""" std_imports, third_party, local, others = [], [], [], [] for line in lines: if line.startswith("import ") or line.startswith("from "): mod = line.split()[1] if is_standard_lib(mod): std_imports.append(line) elif mod.startswith(("ChatApp", "Draegtile")): local.append(line) else: third_party.append(line) else: others.append(line) return std_imports + third_party + local + others

def remove_unused_imports(lines): """Remove known unused imports.""" unused = [ "import asyncio", "import sys", "from datetime import datetime", "from colorama import Fore, Style", "import requests", "from tkinter import messagebox" ] return [line for line in lines if not any(u in line for u in unused)]

def remove_unused_vars(lines): """Remove obvious unused variable assignments like 'foo = None'.""" return [line for line in lines if not re.match(r'^\s*\w+\s*=\sNone\s$', line)]

def add_encoding_to_open(line): """Force encoding in open() calls.""" if 'open(' in line and 'encoding=' not in line: line = re.sub(r'open([^)]+)', r'open(\1, encoding="utf-8")', line) return line

def wrap_long_lines(line, limit=100): """Wrap long string literals.""" if len(line) > limit and ('"' in line or "'" in line): return "\n".join(textwrap.wrap(line, width=limit, subsequent_indent=" ")) return line

--- Process all files ---

py_files = [] for root, _, files in os.walk('.'): for f in files: if f.endswith('.py'): py_files.append(os.path.join(root, f))

for py_file in py_files: with open(py_file, "r", encoding="utf-8") as f: lines = f.readlines()

new_lines = []
for line in lines:
    line = line.rstrip()  # remove trailing ws
    line = add_encoding_to_open(line)
    line = wrap_long_lines(line)
    new_lines.append(line)

# Ensure module docstring exists
if new_lines and not (new_lines[0].strip().startswith('"""') or new_lines[0].startswith("#")):
    new_lines.insert(0, f'"""Module {os.path.basename(py_file)} description."""\n')

# Add class docstrings
i = 0
while i < len(new_lines):
    if re.match(r'class\s+\w+', new_lines[i]):
        if i + 1 < len(new_lines) and not new_lines[i+1].strip().startswith('"""'):
            cls = re.findall(r'class\s+(\w+)', new_lines[i])[0]
            new_lines.insert(i+1, f'    """Class {cls} description."""\n')
    i += 1

# Clean imports & vars)

5 — Permissions & Safety

High-risk actions prompt for confirmation

SDRM only neutralizes real threats

DNA & partner creation runs simulation mode first

All actions are logged for traceability