chore: format Python code and update README#7
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CyberRoute merged 5 commits intomainfrom Apr 9, 2026
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Apr 9, 2026
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- Applied black formatter and isort to all Python source files
- Added new core modules: db.py, mitm.py, ollama_analyst.py, spoof_detector.py
- Updated README to document MITM, LLM analysis, spoof detection, device history, PCAP/export features, and project architecture
- Applied black formatter and isort to all Python source files - Added new core modules: db.py, mitm.py, ollama_analyst.py, spoof_detector.py - Updated README to document MITM, LLM analysis, spoof detection, device history, PCAP/export features, and project architecture Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add module/class/method docstrings where missing - Fix import order and use from-import style - Add check= to all subprocess.run calls - Suppress protected-access on _saved_rules function attribute pattern - Remove unused QObject import in spoof_detector - Fix closeEvent invalid-name with pylint disable (Qt override) - Remove unnecessary lambda in _SnifferThread.run - Move device_details_window init to __init__ - Suppress lazy scapy imports (wrpcap, QApplication) with disable comment - Update .pylintrc: raise design limits, disable too-few-public-methods and import-outside-toplevel globally Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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- Change default model to llama3.2:1b for faster responses - Increase read timeout to 300s (connect stays 5s) to handle slow models - Add explicit ReadTimeout handler with actionable error message - Rewrite system prompt focused on IoT/embedded device analysis: plaintext protocols, credentials in clear, CVE patterns, firmware update mechanisms, beaconing and C2 indicators Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Wrap long SYSTEM_PROMPT line to stay within 100 chars - Replace PyQt6 import with PySide6 in sniffer.py (project uses PySide6) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
OllamaThread now accepts device_vendor and hostname parameters and injects them into the prompt before the packet, giving the model manufacturer and device identity context for more targeted IoT vulnerability analysis. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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