eomsangdonandClaude Opus 5.5
9c8710a934
- 보호구역 = 브이월드 WFS 겹 이름 열(분석 440-C 표 1) · 받은 범위로 잘라 종류 · 이름 · 넓이 · 종류 하나 실패 = 그 종류만 빠짐 - 띠 = 하천중심선(세류 뺌) 100 m · 도로중심선(미분류 · 소로 · 면리간도로 뺌) 300 m 합친 띠 · 넓이 · 범위 비율 · 파생 저장본 - 음영기복 = B07 hillshade_png · 급경사와 같은 길(raster?kind=hillshade) - 도엽 겹 목록에 건물 · 실폭하천 · 수계 면 둘(E003 · E005) 더함 - 지킴 시험 test_581_1_plan_gis_layers Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
471 lines
20 KiB
Python
471 lines
20 KiB
Python
"""D 노선분석 지도 겹 — 도엽 겹 · 지적도 · 급경사 그림 (요구 395-2 · PLAN 569-1).
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- 도엽 겹(하천중심선 · 도로중심선 …) = 지형 받기 병합본 · 없으면 지난 병합 도엽에서 그 겹만 풀어 냄
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- 지적도 = 브이월드 WFS LX맵(`lt_c_landinfobasemap`) · B04 `request_vworld_wfs` 를 1 km 조각으로 ·
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한 번 1,000 필지 한도 → 꽉 차면 넷으로 다시 쪼갬 · `pnu` 로 겹친 필지 거름 ·
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저장 = `processed/연속지적도_bounds.geojson`(B04 `/geojson?layer=지적도` 자리) + 곁 열쇠
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- 급경사 = 평활 안 한 사업 DEM(`models_plan/dtm_sheet_<방법>.npz`) · E07 `slope_rad` ·
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15° · 35° · 40° 단계 PNG · 파생 저장본(열쇠 = 격자 지문)
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- 음영기복 = 같은 DEM · B07 `hillshade_png`(PLAN 581-1)
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- 보호 · 규제 구역 = 브이월드 WFS 여덟 종(겹 이름 = `_분석_440-C` 표 1) ·
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받은 범위로 잘라 종류 · 이름 · 넓이만 · 저장 = `processed/보호구역_bounds.geojson` + 곁 열쇠 ·
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종류 하나 실패 = 그 종류만 빠짐
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- 계류 100 m · 도로 300 m 띠 = 도엽 하천중심선(세류 뺌) · 도로중심선(미분류 · 소로 ·
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면리간도로 뺌) 합친 띠 · 받은 범위로 자름 · 파생 저장본(열쇠 = 두 파일 지문)
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계산 자리 = ③ 서버 단독.
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"""
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from __future__ import annotations
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import base64
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import io
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import json
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import logging
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import math
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import tempfile
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from concurrent.futures import ThreadPoolExecutor
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from pathlib import Path
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from typing import Any
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import numpy as np
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from B04_PreProcess.B04_PreProcess_Engine_GisVector import request_vworld_wfs
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from B04_PreProcess.B04_PreProcess_Engine_SheetParser import SHEET_LAYERS, parse_and_merge_sheets
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from B04_PreProcess.B04_PreProcess_Engine_SheetStore import get_project_map_sheets_dir
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from common_util.common_util_derived_store import (
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derived_key,
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file_stamp,
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read_derived,
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write_derived,
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)
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from common_util.common_util_json import atomic_write_json
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from config.config_system_terrain import SHEET_SURFACE_DEFAULT_METHOD
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logger = logging.getLogger(__name__)
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Box = tuple[float, float, float, float] # x0, y0, x1, y1(작업 좌표계 m)
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CADASTRAL_TYPENAME = "lt_c_landinfobasemap"
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CADASTRAL_FILE = "연속지적도_bounds.geojson"
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CADASTRAL_KEY = "연속지적도_bounds.key.json"
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TILE_M = 1000.0
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WFS_LIMIT = 1000
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MAX_SPLIT = 3 # 1 km → 125 m 까지 쪼갬
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WFS_WORKERS = 4
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SLOPE_KIND = "plan_slope"
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HILLSHADE_KIND = "plan_hillshade"
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RASTER_KINDS = ("slope", "hillshade")
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SLOPE_VERSION = 1
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# (아래 °, 위 °, 색 RGBA) — 임도망_편성 완 · 중 · 급경사지 · 타당성평가 35° · 노선_배치 40° 연속
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SLOPE_BANDS = (
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(15.0, 35.0, (250, 204, 21, 110)),
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(35.0, 40.0, (249, 115, 22, 140)),
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(40.0, 90.0, (220, 38, 38, 160)),
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)
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MAX_SIDE_PX = 4096 # ponytail: 한 변 넘으면 솎음 · 넓은 사업은 조각 그림으로
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def _read_json(path: Path) -> Any:
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try:
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return json.loads(path.read_text(encoding="utf-8"))
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except (OSError, ValueError):
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return None
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# ── 도엽 겹 ─────────────────────────────────────────────
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def ensure_sheet_layer(project_root: Path, key: str) -> Path:
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"""`processed/도엽_{key}.geojson` — 없으면 지난 병합 도엽에서 그 겹만 풀어 냄(0 건 = 빈 것)."""
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if key not in SHEET_LAYERS:
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raise KeyError(key)
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processed = project_root / "B04_PreProcess" / "processed"
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path = processed / f"도엽_{key}.geojson"
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if path.is_file():
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return path
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sheets = (_read_json(processed / "sheet_merge.key.json") or {}).get("sheets") or []
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if not sheets:
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raise FileNotFoundError("병합한 도엽이 없습니다 — 지형 받기 뒤 보입니다.")
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parse_and_merge_sheets(get_project_map_sheets_dir(project_root), sheets, processed, [key])
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if not path.is_file():
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atomic_write_json(path, {"type": "FeatureCollection", "features": []})
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return path
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# ── 지적도 ──────────────────────────────────────────────
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def tiles(box: Box, size: float = TILE_M) -> list[Box]:
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"""상자를 `size` 칸으로 쪼갬(끝 칸은 남은 만큼)."""
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x0, y0, x1, y1 = box
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nx, ny = max(1, math.ceil((x1 - x0) / size)), max(1, math.ceil((y1 - y0) / size))
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return [
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(x0 + i * size, y0 + j * size, min(x1, x0 + (i + 1) * size), min(y1, y0 + (j + 1) * size))
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for j in range(ny)
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for i in range(nx)
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]
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def quarter(box: Box) -> list[Box]:
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x0, y0, x1, y1 = box
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xm, ym = (x0 + x1) / 2, (y0 + y1) / 2
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return [(x0, y0, xm, ym), (xm, y0, x1, ym), (x0, ym, xm, y1), (xm, ym, x1, y1)]
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def _lonlat_bounds(box: Box, epsg: int) -> dict[str, float]:
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from common_util.common_util_crs import tm_to_lonlat
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x0, y0, x1, y1 = box
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ring = [tm_to_lonlat(x, y, epsg) for x, y in ((x0, y0), (x1, y0), (x1, y1), (x0, y1))]
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lons, lats = [p[0] for p in ring], [p[1] for p in ring]
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return {"min_lon": min(lons), "min_lat": min(lats), "max_lon": max(lons), "max_lat": max(lats)}
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def _wfs(box: Box, epsg: int, typename: str) -> list[dict[str, Any]] | None:
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"""조각 하나 — B04 WFS 받기(실패 = 파일 없음 · 키 값은 남기지 않음). None = 실패."""
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with tempfile.TemporaryDirectory() as folder:
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request_vworld_wfs(typename, "tile.geojson", _lonlat_bounds(box, epsg), Path(folder))
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data = _read_json(Path(folder) / "tile.geojson")
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if not isinstance(data, dict) or not isinstance(data.get("features"), list):
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return None
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return data["features"]
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def fetch_tile(
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box: Box, epsg: int, depth: int = 0, typename: str = CADASTRAL_TYPENAME
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) -> tuple[list[dict[str, Any]], int]:
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"""(지물, 실패 조각 수) — 1,000 꽉 차면 넷으로 다시 쪼갬."""
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features = _wfs(box, epsg, typename)
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if features is None:
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return [], 1
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if len(features) < WFS_LIMIT or depth >= MAX_SPLIT:
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return features, 0
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out: list[dict[str, Any]] = []
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failed = 0
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for part in quarter(box):
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got, bad = fetch_tile(part, epsg, depth + 1, typename)
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out.extend(got)
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failed += bad
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return out, failed
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def dedup_parcels(features: list[dict[str, Any]]) -> list[dict[str, Any]]:
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"""조각 경계에 걸친 필지 — `pnu`(없으면 지물 id) 첫 것만."""
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seen: set[str] = set()
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out = []
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for feature in features:
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props = feature.get("properties") or {}
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key = str(props.get("pnu") or feature.get("id") or json.dumps(feature.get("geometry")))
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if key not in seen:
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seen.add(key)
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out.append(feature)
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return out
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def _covers(have: Any, box: Box) -> bool:
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try:
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return have[0] <= box[0] and have[1] <= box[1] and have[2] >= box[2] and have[3] >= box[3]
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except (TypeError, IndexError):
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return False
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def ensure_cadastral(processed: Path, box: Box, epsg: int) -> dict[str, Any]:
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"""지적도 — 열쇠 상자가 덮고 실패 조각 없으면 그대로 · 아니면 상자 통째로 다시 받음."""
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path, key_path = processed / CADASTRAL_FILE, processed / CADASTRAL_KEY
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key = _read_json(key_path) or {}
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if path.is_file() and not key.get("failed") and _covers(key.get("box"), box):
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return {"path": path, "fetched": False, "count": key.get("count"), "failed": 0}
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parts = tiles(box)
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with ThreadPoolExecutor(max_workers=WFS_WORKERS) as pool:
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results = list(pool.map(lambda part: fetch_tile(part, epsg), parts))
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failed = sum(bad for _, bad in results)
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if failed == len(parts):
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raise RuntimeError(f"지적도를 받지 못했습니다 — 브이월드 WFS 조각 {failed}개 실패")
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features = dedup_parcels([f for got, _ in results for f in got])
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processed.mkdir(parents=True, exist_ok=True)
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atomic_write_json(path, {"type": "FeatureCollection", "features": features})
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atomic_write_json(
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key_path,
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{
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"box": [float(v) for v in box],
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"epsg": int(epsg),
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"count": len(features),
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"failed": failed,
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},
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)
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logger.info("D 지적도 받기: 조각 %d · 실패 %d · 필지 %d", len(parts), failed, len(features))
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return {"path": path, "fetched": True, "count": len(features), "failed": failed}
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# ── 급경사 ──────────────────────────────────────────────
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def slope_bands_png(z: np.ndarray, valid: np.ndarray, cell_m: float) -> dict[str, Any]:
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"""격자(행 = 남 → 북) → 단계 PNG(위 = 북 · 15° 미만 · 빈 칸 투명) + 단계 칸 비율."""
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from PIL import Image
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from E07_StabArea.E07_StabArea_Engine import slope_rad
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stride = max(1, math.ceil(max(z.shape) / MAX_SIDE_PX))
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grid = np.where(valid, np.asarray(z, float), np.nan)[::stride, ::stride]
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deg = np.degrees(slope_rad(grid, cell_m * stride))
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known = np.isfinite(deg)
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index = np.zeros(deg.shape, np.uint8)
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for i, (low, high, _) in enumerate(SLOPE_BANDS, start=1):
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index[known & (deg >= low) & (deg < high)] = i
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total = max(1, int(known.sum()))
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image = Image.fromarray(np.flipud(index), mode="P")
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palette = [0, 0, 0] + [c for _, _, rgba in SLOPE_BANDS for c in rgba[:3]]
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image.putpalette(palette + [0] * (768 - len(palette)))
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alpha = bytes([0] + [rgba[3] for _, _, rgba in SLOPE_BANDS])
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buffer = io.BytesIO()
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image.save(buffer, format="PNG", optimize=True, transparency=alpha)
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return {
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"width": image.width,
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"height": image.height,
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"image": "data:image/png;base64," + base64.b64encode(buffer.getvalue()).decode("ascii"),
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"bands": [
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{
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"min_deg": low,
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"max_deg": high,
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"color": "#{:02x}{:02x}{:02x}".format(*rgba[:3]),
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"ratio": round(int((index == i).sum()) / total, 4),
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}
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for i, (low, high, rgba) in enumerate(SLOPE_BANDS, start=1)
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],
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}
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def hillshade_layer_png(z: np.ndarray, valid: np.ndarray, cell_m: float) -> dict[str, Any]:
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"""음영기복 PNG(B07 그대로 · 빈 칸 흰색 = 화면이 곱하기로 겹쳐 투명)."""
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from B07_DesignDetail.B07_DesignDetail_Engine_Cad_Lidar import hillshade_png
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image, width, height = hillshade_png(z, valid, cell_m)
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return {"width": width, "height": height, "image": image, "bands": []}
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def slope_layer(
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project_root: Path, models_dir: Path, epsg: int, kind: str = "slope"
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) -> dict[str, Any]:
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"""급경사(`slope`) · 음영기복(`hillshade`) — 지문(격자 파일 · 단계 · 판) 같으면 저장본."""
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from common_util.common_util_crs import tm_to_lonlat
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npz = models_dir / f"dtm_sheet_{SHEET_SURFACE_DEFAULT_METHOD}.npz"
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stamp = file_stamp(npz)
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if stamp is None:
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raise FileNotFoundError("사업 지형면이 없습니다 — 지형 받기 뒤 보입니다.")
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store_kind, build = (
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(SLOPE_KIND, slope_bands_png) if kind == "slope" else (HILLSHADE_KIND, hillshade_layer_png)
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)
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key = derived_key(
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store_kind, SLOPE_VERSION, npz.name, stamp, int(epsg), SLOPE_BANDS, MAX_SIDE_PX
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)
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saved = read_derived(project_root, store_kind, key)
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if saved is not None:
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return saved["value"]
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with np.load(npz) as dem:
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x, y = np.asarray(dem["x"], float), np.asarray(dem["y"], float)
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cell = float(dem["resolution"][0]) if "resolution" in dem.files else float(x[1] - x[0])
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value = build(dem["z"], np.asarray(dem["valid_mask"], bool), cell)
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half = cell / 2
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box = (x[0] - half, y[0] - half, x[-1] + half, y[-1] + half)
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value["box_m"] = [float(v) for v in box]
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value["box"] = [
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list(tm_to_lonlat(px, py, epsg))
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for px, py in ((box[0], box[1]), (box[2], box[1]), (box[2], box[3]), (box[0], box[3]))
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]
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write_derived(project_root, store_kind, key, value)
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return value
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# ── 보호 · 규제 구역 ─────────────────────────────────────
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# (열쇠, 이름, 브이월드 WFS 겹 이름) — `_분석_440-C` 표 1 그대로
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ZONE_KINDS: tuple[tuple[str, str, tuple[str, ...]], ...] = (
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("forest", "산림보호구역", ("lt_c_uf151",)),
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("baekdu", "백두대간보호지역", ("lt_c_uf901",)),
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("water", "상수원보호구역", ("lt_c_um710",)),
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("park", "자연공원", ("lt_c_wgisnpgug", "lt_c_wgisnpdo", "lt_c_wgisnpgun")),
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("heritage", "국가유산 지정 · 보호구역", ("lt_c_uo301",)),
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("wetland", "습지보호지역", ("lt_c_um901",)),
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("wildlife", "야생생물보호구역", ("lt_c_um221",)),
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("greenbelt", "개발제한구역", ("lt_c_ud801",)),
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)
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ZONE_FILE = "보호구역_bounds.geojson"
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ZONE_KEY = "보호구역_bounds.key.json"
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ZONE_VERSION = 1
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ZONE_NAME_PROPS = ("alias", "park_name", "uname")
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def _transforms(epsg: int) -> tuple[Any, Any]:
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"""(경위도 → m, m → 경위도) shapely 변환 함수."""
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from pyproj import Transformer
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to_m = Transformer.from_crs("EPSG:4326", f"EPSG:{epsg}", always_xy=True).transform
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to_ll = Transformer.from_crs(f"EPSG:{epsg}", "EPSG:4326", always_xy=True).transform
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return to_m, to_ll
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def clip_zones(
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found: dict[str, list[dict[str, Any]]], box: Box, epsg: int
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) -> tuple[list[dict[str, Any]], dict[str, dict[str, Any]]]:
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"""종류별 지물 → 받은 범위로 자른 지물(종류 · 이름) + 종류별 {이름, 개수, 넓이 m²}."""
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from shapely.geometry import box as rect
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from shapely.geometry import mapping, shape
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from shapely.ops import transform
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to_m, to_ll = _transforms(epsg)
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frame = rect(*box)
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features: list[dict[str, Any]] = []
|
|
summary: dict[str, dict[str, Any]] = {}
|
|
for kind, label, _ in ZONE_KINDS:
|
|
count, area = 0, 0.0
|
|
for feature in dedup_parcels(found.get(kind) or []):
|
|
try:
|
|
metric = transform(to_m, shape(feature["geometry"]))
|
|
except (KeyError, TypeError, ValueError, AttributeError):
|
|
continue
|
|
if not metric.is_valid:
|
|
metric = metric.buffer(0)
|
|
part = metric.intersection(frame)
|
|
if part.is_empty or part.area <= 0:
|
|
continue
|
|
props = feature.get("properties") or {}
|
|
name = next((str(props[k]) for k in ZONE_NAME_PROPS if props.get(k)), label)
|
|
count += 1
|
|
area += part.area
|
|
features.append(
|
|
{
|
|
"type": "Feature",
|
|
"geometry": mapping(transform(to_ll, part)),
|
|
"properties": {"kind": kind, "name": name, "area_m2": round(part.area, 1)},
|
|
}
|
|
)
|
|
summary[kind] = {"label": label, "count": count, "area_m2": round(area, 1)}
|
|
return features, summary
|
|
|
|
|
|
def ensure_zones(processed: Path, box: Box, epsg: int) -> dict[str, Any]:
|
|
"""보호 · 규제 구역 — 열쇠 상자가 덮고 실패 종류 없으면 그대로 · 아니면 통째로 다시 받음."""
|
|
path, key_path = processed / ZONE_FILE, processed / ZONE_KEY
|
|
key = _read_json(key_path) or {}
|
|
if (
|
|
path.is_file()
|
|
and key.get("version") == ZONE_VERSION
|
|
and not key.get("failed")
|
|
and _covers(key.get("box"), box)
|
|
):
|
|
return {"path": path, "fetched": False, "failed": []}
|
|
jobs = [(kind, name) for kind, _, names in ZONE_KINDS for name in names]
|
|
# ponytail: 겹마다 범위 통째 한 번 · 1,000 꽉 차면 넷 — 구역은 필지보다 훨씬 적음
|
|
with ThreadPoolExecutor(max_workers=WFS_WORKERS) as pool:
|
|
results = list(pool.map(lambda job: fetch_tile(box, epsg, 0, job[1]), jobs))
|
|
failed = sorted({kind for (kind, _), (_, bad) in zip(jobs, results) if bad})
|
|
if len(failed) == len(ZONE_KINDS):
|
|
raise RuntimeError("보호 · 규제 구역을 받지 못했습니다 — 브이월드 WFS 실패")
|
|
found: dict[str, list[dict[str, Any]]] = {}
|
|
for (kind, _), (got, _) in zip(jobs, results):
|
|
found.setdefault(kind, []).extend(got)
|
|
features, summary = clip_zones(found, box, epsg)
|
|
for kind in failed:
|
|
summary[kind]["failed"] = True
|
|
processed.mkdir(parents=True, exist_ok=True)
|
|
atomic_write_json(path, {"type": "FeatureCollection", "features": features, "summary": summary})
|
|
atomic_write_json(
|
|
key_path,
|
|
{
|
|
"version": ZONE_VERSION,
|
|
"box": [float(v) for v in box],
|
|
"epsg": int(epsg),
|
|
"failed": failed,
|
|
},
|
|
)
|
|
logger.info("D 보호구역 받기: 지물 %d · 실패 종류 %s", len(features), failed)
|
|
return {"path": path, "fetched": True, "failed": failed}
|
|
|
|
|
|
# ── 계류 · 도로 띠 ───────────────────────────────────────
|
|
|
|
BAND_KIND = "plan_band"
|
|
BAND_VERSION = 1
|
|
# 타당성평가 「산지계류 100 m 이내」 · 「도로법 도로 300 m 이내」
|
|
STREAM_BAND_M = 100.0
|
|
ROAD_BAND_M = 300.0
|
|
# ponytail: 원문 = 1/25,000 주요 수계 · 도로법 도로 — 1/5,000 도엽에서 세류 · 소로급을 뺀
|
|
# 어림(협의 값)
|
|
SMALL_STREAMS = frozenset({"세류"})
|
|
LOCAL_ROADS = frozenset({"미분류", "소로", "면리간도로"})
|
|
BAND_SEGMENTS = 8 # 둥근 끝 사분원 꼭짓점
|
|
|
|
|
|
def band_union(lines: list[Any], dist_m: float, box: Box) -> Any:
|
|
"""선(작업 좌표계 m) → 거리 `dist_m` 띠 하나(겹친 곳 합침 · 범위로 자름) · 선 없으면 None."""
|
|
from shapely import union_all
|
|
from shapely.geometry import box as rect
|
|
|
|
if not lines:
|
|
return None
|
|
band = union_all(lines).buffer(dist_m, quad_segs=BAND_SEGMENTS).intersection(rect(*box))
|
|
return None if band.is_empty else band
|
|
|
|
|
|
def _band(
|
|
path: Path, epsg: int, box: Box, dist_m: float, prop: str, skip: frozenset[str]
|
|
) -> dict[str, Any]:
|
|
from shapely.geometry import mapping, shape
|
|
from shapely.ops import transform
|
|
|
|
to_m, to_ll = _transforms(epsg)
|
|
features = (_read_json(path) or {}).get("features") or []
|
|
lines = [
|
|
transform(to_m, shape(f["geometry"]))
|
|
for f in features
|
|
if f.get("geometry") and (f.get("properties") or {}).get(prop) not in skip
|
|
]
|
|
band = band_union(lines, dist_m, box)
|
|
frame = (box[2] - box[0]) * (box[3] - box[1])
|
|
area = band.area if band is not None else 0.0
|
|
shown = [] if band is None else [band.simplify(0.5)]
|
|
return {
|
|
"dist_m": dist_m,
|
|
"lines": len(lines),
|
|
"area_m2": round(area, 1),
|
|
"ratio": round(area / frame, 4) if frame > 0 else 0.0,
|
|
"collection": {
|
|
"type": "FeatureCollection",
|
|
"features": [
|
|
{"type": "Feature", "geometry": mapping(transform(to_ll, g)), "properties": {}}
|
|
for g in shown
|
|
],
|
|
},
|
|
}
|
|
|
|
|
|
def band_layer(project_root: Path, epsg: int, box: Box) -> dict[str, Any]:
|
|
"""계류 100 m · 도로 300 m 띠 — 두 도엽 겹 지문 · 범위 같으면 저장본 그대로."""
|
|
stream = ensure_sheet_layer(project_root, "하천중심선")
|
|
road = ensure_sheet_layer(project_root, "도로중심선")
|
|
key = derived_key(
|
|
BAND_KIND,
|
|
BAND_VERSION,
|
|
file_stamp(stream),
|
|
file_stamp(road),
|
|
int(epsg),
|
|
[round(v, 1) for v in box],
|
|
STREAM_BAND_M,
|
|
ROAD_BAND_M,
|
|
sorted(SMALL_STREAMS),
|
|
sorted(LOCAL_ROADS),
|
|
)
|
|
saved = read_derived(project_root, BAND_KIND, key)
|
|
if saved is not None:
|
|
return saved["value"]
|
|
value = {
|
|
"stream": _band(stream, epsg, box, STREAM_BAND_M, "구분", SMALL_STREAMS),
|
|
"road": _band(road, epsg, box, ROAD_BAND_M, "도로구분", LOCAL_ROADS),
|
|
}
|
|
write_derived(project_root, BAND_KIND, key, value)
|
|
return value
|