Major refactoring of RFCP backend: - Modular propagation models (8 models) - SharedMemoryManager for terrain data - ProcessPoolExecutor parallel processing - WebSocket progress streaming - Building filtering pipeline (351k → 15k) - 82 unit tests Performance: Standard preset 38s → 5s (7.6x speedup) Known issue: Detailed preset timeout (fix in 3.1.0)
7 lines
138 B
Python
7 lines
138 B
Python
"""
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Core business logic for RFCP.
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Existing modules: config.py, database.py
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New modules: engine.py, grid.py, calculator.py, result.py
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"""
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