File size: 6,242 Bytes
1b141db | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 | from __future__ import annotations
from collections import Counter
from pathlib import Path
from typing import Iterable
from .geometry import bbox_local, centroid_local, polygon_area_local, polygon_perimeter_local
from .models import BoundaryCandidate, SiteSelection
UNIT_CODES = {
"0": "unitless",
"4": "millimeters",
"6": "meters",
}
BOUNDARY_HINTS = ("site boundary", "site boundry", "boundary", "boundry", "plot", "property")
CONTEXT_HINTS = {
"road": "roads/access",
"surround": "surroundings",
"building": "existing building",
"built": "built-up",
"veget": "vegetation",
"tree": "vegetation",
"sea": "water/sea",
"water": "water/sea",
"contour": "contours",
}
def parse_dxf(path: str | Path) -> dict[str, object]:
source = Path(path)
pairs = _read_pairs(source)
unit = _detect_unit(pairs)
scale = 0.001 if unit == "millimeters" else 1.0
layers = _extract_layers(pairs)
polylines = _extract_lwpolylines(pairs)
boundary_candidates: list[BoundaryCandidate] = []
layer_counts: Counter[str] = Counter()
context_layers: Counter[str] = Counter()
for layer, closed, raw_points in polylines:
layer_counts[layer] += 1
category = _context_category(layer)
if category:
context_layers[category] += 1
points_m = [(x * scale, y * scale) for x, y in raw_points]
if _is_boundary_layer(layer) and len(points_m) >= 3:
closed_points = points_m if points_m[0] == points_m[-1] else points_m + [points_m[0]]
area = polygon_area_local(closed_points)
perimeter = polygon_perimeter_local(closed_points)
if area <= 0:
continue
boundary_candidates.append(
BoundaryCandidate(
id=f"{source.stem}:{len(boundary_candidates) + 1}",
source_file=source.name,
layer_name=layer,
unit=unit,
area_sqm=area,
perimeter_m=perimeter,
vertex_count=len(points_m),
is_closed=closed or points_m[0] == points_m[-1],
bbox=bbox_local(points_m),
confidence_reason="Layer name matched a boundary/site hint.",
points_m=points_m,
)
)
boundary_candidates.sort(key=lambda c: c.area_sqm, reverse=True)
return {
"source_file": source.name,
"unit": unit,
"layers": sorted(layers),
"layer_counts": dict(layer_counts),
"context_layers": dict(context_layers),
"boundary_candidates": boundary_candidates,
}
def candidate_to_selection(candidate: BoundaryCandidate, anchor_lat: float, anchor_lon: float) -> SiteSelection:
return SiteSelection(
id=f"S-{candidate.id}",
selection_type="dxf_boundary",
coordinate_mode="anchored_local_cad",
geometry_geojson=None,
local_geometry=candidate.points_m,
anchor_lat=anchor_lat,
anchor_lon=anchor_lon,
radius_m=None,
area_sqm=candidate.area_sqm,
perimeter_m=candidate.perimeter_m,
centroid=centroid_local(candidate.points_m),
bbox=candidate.bbox,
unit_source=f"DXF {candidate.unit}",
accuracy_label="CAD local boundary with public-data anchor",
source_files=[candidate.source_file],
selected_boundary_id=candidate.id,
limitations=[
"CAD geometry uses local drawing coordinates unless georeferenced.",
"Public climate, sun, and OSM data are based on the anchor point, not exact CAD georeferencing.",
"CAD boundary is only as reliable as the uploaded drawing.",
],
)
def _read_pairs(path: Path) -> list[tuple[str, str]]:
lines = path.read_text(errors="ignore").splitlines()
return [
(lines[index].strip(), lines[index + 1].strip())
for index in range(0, len(lines) - 1, 2)
]
def _detect_unit(pairs: list[tuple[str, str]]) -> str:
for idx, (code, value) in enumerate(pairs):
if code == "9" and value == "$INSUNITS":
for c2, v2 in pairs[idx + 1 : idx + 8]:
if c2 == "70":
return UNIT_CODES.get(v2.strip(), f"unit-code-{v2.strip()}")
return "unknown"
def _extract_layers(pairs: list[tuple[str, str]]) -> set[str]:
layers = set()
for idx, (code, value) in enumerate(pairs):
if code == "0" and value == "LAYER":
for c2, v2 in pairs[idx : idx + 30]:
if c2 == "2":
layers.add(v2)
break
return layers
def _extract_lwpolylines(pairs: list[tuple[str, str]]) -> Iterable[tuple[str, bool, list[tuple[float, float]]]]:
index = 0
while index < len(pairs):
code, value = pairs[index]
if code == "0" and value == "LWPOLYLINE":
layer = "0"
closed = False
xs: list[float] = []
ys: list[float] = []
index += 1
while index < len(pairs) and pairs[index][0] != "0":
c2, v2 = pairs[index]
if c2 == "8":
layer = v2
elif c2 == "70":
try:
closed = bool(int(v2.strip()) & 1)
except ValueError:
closed = False
elif c2 == "10":
try:
xs.append(float(v2))
except ValueError:
pass
elif c2 == "20":
try:
ys.append(float(v2))
except ValueError:
pass
index += 1
yield layer, closed, list(zip(xs, ys))
continue
index += 1
def _is_boundary_layer(layer_name: str) -> bool:
lower = layer_name.lower()
return any(hint in lower for hint in BOUNDARY_HINTS)
def _context_category(layer_name: str) -> str | None:
lower = layer_name.lower()
for hint, category in CONTEXT_HINTS.items():
if hint in lower:
return category
return None
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