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📸 Screenshots

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⚡ Features

🚀 Performance 8–32 parallel browsers for extraction 16–64 concurrent download streams Stall detection & automatic lane kills Resume interrupted downloads (.tmp)	🛡️ Reliability Per-URL retry with exponential backoff Dead link detection (instant fail, no wasted time) Ad overlay bypass & popup dismissal Per-session telemetry logs
🎯 Providers fuckingfast.co — regex extraction, no browser needed datanodes.to — full browser automation flow Automatic provider detection from URL	🔧 Modes Download — extract & download files Links only — extract direct URLs to file CLI version included (gen_cli.py)

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🚀 Quick Start

One-click launch (Windows)

1. Install Python 3.10+ — check ✅ "Add Python to PATH"
2. Double-click avvia.bat
3. Done. First run auto-installs everything.

Manual setup

pip install -r requirements.txt
playwright install chromium
python gen_1.py

CLI version

python gen_cli.py <url1> <url2> ... -o <output_folder>

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⚙️ Settings

Setting	Range	Default	Description
Browsers	8 – 32	16	Parallel browser workers for link extraction
DL Streams	16 – 64	48	Concurrent download connections
Retries	0 – 5	3	Retry attempts per failed URL

Tip: For 40+ file sessions, 16 browsers / 48 streams is the sweet spot. For 200+ files, push browsers toward 32.

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📂 Output Files

File	Description
moontech_*.log	Human-readable performance report
moontech_*.json	Per-file metrics (machine-readable)
output_links.txt	Extracted direct links (Links-only mode)
failed_links.txt	URLs that failed all retries

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📁 Optional Files

Place in the same folder as gen_1.py:

File	Purpose
proxies.txt	Proxy list — ip:port:user:pass or http://user:pass@ip:port
logo.png	Custom header logo (auto-scaled to 44×44)

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🏗️ Architecture

Single-file application (~1350 lines), structured in layers:

gen_1.py
├── Global config          — theme, tuning constants, user agents
├── Resource singletons    — aiohttp session pool, proxy rotation
├── Extraction layer       — fuckingfast (regex) + datanodes (Playwright)
├── Download engine        — Range resume, stall detection, lane kills
├── Telemetry              — 1 Hz snapshots, .log + .json output
├── GUI (tkinter)          — live stats, dual progress bars, color log
└── Async orchestration    — queue-based workers, semaphore concurrency

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📋 Requirements

• OS: Windows 10 / 11
• Python: 3.10+
• Disk: ~150 MB for Chromium browser
• Packages: aiohttp, playwright, pillow

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