mytec
defa3ad440
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)
66 lines
1.8 KiB
Python
66 lines
1.8 KiB
Python
"""
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Coverage result aggregation and statistics.
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"""
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from dataclasses import dataclass
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from typing import List
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@dataclass
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class PointResult:
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lat: float
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lon: float
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rsrp: float
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distance: float
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path_loss: float
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terrain_loss: float
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building_loss: float
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diffraction_loss: float
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has_los: bool
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model_used: str
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def to_dict(self) -> dict:
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return {
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"lat": self.lat, "lon": self.lon,
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"rsrp": self.rsrp, "distance": self.distance,
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"path_loss": self.path_loss, "terrain_loss": self.terrain_loss,
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"building_loss": self.building_loss, "diffraction_loss": self.diffraction_loss,
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"has_los": self.has_los, "model_used": self.model_used,
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}
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@dataclass
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class CoverageResult:
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points: List[PointResult]
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stats: dict
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computation_time: float
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models_used: List[str]
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def to_dict(self) -> dict:
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return {
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"points": [p.to_dict() for p in self.points],
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"count": len(self.points),
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"stats": self.stats,
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"computation_time": round(self.computation_time, 2),
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"models_used": self.models_used,
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}
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def compute_stats(points: List[PointResult]) -> dict:
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if not points:
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return {"min_rsrp": 0, "max_rsrp": 0, "avg_rsrp": 0,
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"los_percentage": 0, "total_points": 0}
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rsrp_values = [p.rsrp for p in points]
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los_count = sum(1 for p in points if p.has_los)
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return {
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"min_rsrp": min(rsrp_values),
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"max_rsrp": max(rsrp_values),
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"avg_rsrp": sum(rsrp_values) / len(rsrp_values),
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"los_percentage": los_count / len(points) * 100,
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"total_points": len(points),
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"points_with_buildings": sum(1 for p in points if p.building_loss > 0),
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"points_with_terrain_loss": sum(1 for p in points if p.terrain_loss > 0),
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}
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