KTP - Kernel Transfer Protocol

KTP (Kernel Transfer Protocol) is a Rust application designed to manage kernel file transfers and Git repository operations. It supports multiple transfer protocols and integrates kernel configuration and compilation tools.

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Features

1. Kernel File Transfer

• SCP (via SSH): Securely transfer kernel files using SCP.
• HTTP/HTTPS: Download kernel files over HTTP or HTTPS.
• FTP: Transfer files using FTP with optional username and password.

2. Git Fetcher

• Clone, fetch, and sync Git repositories.
• Supports commit messages, author info, and pushing changes.

3. Kernel Configuration

• Run the KTP.mk installation script to set up the kernel environment.
• Launch make menuconfig kernel configuration interface.
• Optionally auto-compile the kernel after configuration.

4. Real-time Kernel Compilation

• Automatically trigger kernel compilation after file transfer or configuration.

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Supported Protocols

• SCP (SSH-based secure file transfer)
• FTP (with optional credentials)
• HTTP/HTTPS
• Git Fetcher (Git operations support)

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Example Commands

# Transfer kernel files via SCP
ktp scp --source=path/to/source --dest=/path/to/destination --username=your_username

# Transfer kernel files via HTTP
ktp http --source=http://example.com/kernel --dest=/path/to/destination

# Fetch from Git repo and optionally push changes
ktp git --source=https://github.com/user/repo.git --local-path=/local/repo --push=true

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Workflow

1. Specify the transfer protocol (SCP, HTTP, FTP, Git) via CLI.
2. Transfer kernel files or perform Git operations.
3. Launch kernel configuration interface (make menuconfig) post-transfer.
4. Trigger automatic kernel compilation if enabled.

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RepoWatcher & AIAnalyzer Integration (Python)

A Python application combining RepoWatcher and AIAnalyzer for monitoring repositories and analyzing them in real-time or offline. Supports FTP, SCP, HTTP, and local directory monitoring.

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Features

RepoWatcher

• Monitors repositories or directories for changes.
• Supports SCP, FTP, HTTP/HTTPS, and local directories.
• Offers livestream or offline modes for repository changes.

AIAnalyzer

• Performs AI-based analysis on repository contents.
• Supports livestream analysis for HTTP/HTTPS repositories.
• Can analyze local directories in offline mode.

User Interaction

• Commands like start begin AI analysis.
• exit terminates the program.

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Example Commands

# Run RepoWatcher and AIAnalyzer for livestream HTTP repo
python3 main.py --uri http://example.com/repo --stream-type livestream

Example using

Workflow

1. Monitor repository or local directory using RepoWatcher.
2. Analyze repository content based on stream type:
   • Offline: Local directory analysis.
   • Livestream: Live HTTP/HTTPS stream analysis.
3. User commands (start, exit) control analysis lifecycle.

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Modes

• Single mode: Monitor and analyze a single Git repository URL.
• Multiple mode: Monitor and analyze multiple Git repositories simultaneously.

Example for multiple mode:

aipropengine_ktp --uri https://github.com/Zamanhuseyinli/KTP --stream-type offlinestream --mode multiple

This saves repositories under gitroot_multi for collective AI analysis.

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Integration of KTP and RepoWatcher + AIAnalyzer

Both the Rust-based KTP and Python-based RepoWatcher/AIAnalyzer can be combined for a smooth kernel development workflow.

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Workflow Integration

1. Kernel Transfer with KTP
   • Transfer kernel files via SCP, FTP, or HTTP using KTP.
2. Repo Monitoring with RepoWatcher
   • Run Python RepoWatcher to monitor the transferred repo for changes.
3. AI Analysis with AIAnalyzer
   • Once RepoWatcher detects changes, AIAnalyzer performs analysis on the updated kernel or project files.

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Example Interaction

# Step 1: Transfer kernel files via KTP (SCP example)
ktp scp --source=path/to/source --dest=/path/to/destination --username=your_username

# Step 2: Monitor repo changes using RepoWatcher (livestream)
python3 main.py --uri scp://remotehost/repo --stream-type livestream

# Step 3: AI analysis triggered automatically upon detected changes

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Future Enhancements

• Unified CLI: Combine Rust KTP and Python RepoWatcher CLI for a streamlined user experience.
• Cloud Integration: Monitor cloud repositories (GitHub, GitLab) and trigger AI analysis.
• Extended Protocol Support: Add SFTP and other protocols.
• Continuous Integration (CI): Automate AI analysis after each transfer or commit.

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Installation

KTP (Rust)

git clone https://github.com/Zamanhuseyinli/ktp.git
cd ktp
cargo build --release

RepoWatcher & AIAnalyzer (Python)

pip install -r requirements.txt
python setup.py install
aipropengine_ktp --help

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optional installation option

pip install -r requirements.txt
python Makemanifest

Contribution

1. Fork the repository.
2. Create a new branch.
3. Make your changes.
4. Submit a pull request.

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License

This project is licensed under the GPLv2 License. See the LICENSE file for details.