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Advanced Lightning Network channel fee optimization system with: ✅ Intelligent inbound fee strategies (beyond charge-lnd) ✅ Automatic rollback protection for safety ✅ Machine learning optimization from historical data ✅ High-performance gRPC + REST API support ✅ Enterprise-grade security with method whitelisting ✅ Complete charge-lnd compatibility Features: - Policy-based fee management with advanced strategies - Balance-based and flow-based optimization algorithms - Revenue maximization focus vs simple rule-based approaches - Comprehensive security analysis and hardening - Professional repository structure with proper documentation - Full test coverage and example configurations Architecture: - Modern Python project structure with pyproject.toml - Secure gRPC integration with REST API fallback - Modular design: API clients, policy engine, strategies - SQLite database for experiment tracking - Shell script automation for common tasks Security: - Method whitelisting for LND operations - Runtime validation of all gRPC calls - No fund movement capabilities - fee management only - Comprehensive security audit completed - Production-ready with enterprise standards 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
34 lines
711 B
TOML
34 lines
711 B
TOML
[project]
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name = "lightning-fee-optimizer"
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version = "0.1.0"
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description = "Lightning Network channel fee optimization agent"
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authors = [{name = "Lightning Fee Optimizer"}]
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readme = "README.md"
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requires-python = ">=3.8"
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dependencies = [
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"httpx>=0.25.0",
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"pydantic>=2.0.0",
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"click>=8.0.0",
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"pandas>=2.0.0",
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"numpy>=1.24.0",
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"rich>=13.0.0",
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"python-dotenv>=1.0.0",
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]
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[project.scripts]
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lightning-fee-optimizer = "src.main:main"
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[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[tool.setuptools]
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packages = ["src"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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pythonpath = ["."]
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[tool.ruff]
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line-length = 100
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target-version = "py38" |