Merge remote-tracking branches 'origin/main_laptop_1' and 'origin/sub_laptop_3' into sub_laptop_7

This commit is contained in:
2026-10-16 11:40:04 +09:00
11 changed files with 583 additions and 135 deletions
@@ -23,6 +23,7 @@ from __future__ import annotations
import logging
import math
import time
from collections.abc import Callable
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
@@ -31,7 +32,10 @@ import numpy as np
from shapely.geometry import LineString
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Descent import ContourDescent
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Expand import expand_by_red_boundary
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Expand import (
AnalysisStopped,
expand_by_red_boundary,
)
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Flow import (
FlowClassification,
RoadRaster,
@@ -154,6 +158,7 @@ def preview_stages(
contour_features: list[dict[str, Any]],
stream_features: list[dict[str, Any]],
descent_store: tuple[Path, str] | None = None,
should_stop: Callable[[], bool] | None = None,
) -> StagePreview | None:
"""지금까지 구현·검증된 단계를 순서대로 돌려 결과를 모은다.
@@ -176,6 +181,8 @@ def preview_stages(
marks.append(("1차 영역(resolve_primary_region)", time.perf_counter()))
if region is None:
return None
if should_stop is not None and should_stop():
raise AnalysisStopped
started = time.perf_counter()
floor = route_elevation_floor([vertex.z for vertex in vertices])
@@ -187,6 +194,7 @@ def preview_stages(
region.split.upstream,
floor,
descent_store=descent_store,
should_stop=should_stop,
)
if expansion is None:
logger.warning("배수유역: 등고선 하강 방향을 세우지 못해 흐름 판정을 건너뜁니다.")
@@ -21,6 +21,7 @@ from __future__ import annotations
import logging
import time
from collections.abc import Callable
from dataclasses import dataclass
from pathlib import Path
from typing import Any
@@ -58,6 +59,10 @@ logger = logging.getLogger(__name__)
DESCENT_SPARE_M = 400.0
class AnalysisStopped(Exception):
"""새 차례가 와서 계산을 그만둠(「지금 노선으로 셈」 · 347-2) — 단계 사이에서만 확인."""
@dataclass
class GridAnalysis:
"""한 회차 분석 결과 — 격자·해석 영역·방향·색까지 한 묶음."""
@@ -142,6 +147,7 @@ def expand_by_red_boundary(
band_m: float = DRAINAGE_RED_EXPAND_BAND_M,
max_rounds: int = DRAINAGE_RED_EXPAND_MAX_ROUNDS,
descent_store: tuple[Path, str] | None = None,
should_stop: Callable[[], bool] | None = None,
) -> RedExpansion | None:
"""최외곽 적색 셀 주변으로 넓히며, 새로 추가한 셀에 적색이 없을 때까지 반복한다."""
_expand_started = time.perf_counter()
@@ -194,6 +200,8 @@ def expand_by_red_boundary(
rounds = 0
closed = False
for attempt in range(max_rounds):
if should_stop is not None and should_stop():
raise AnalysisStopped
_round_started = time.perf_counter()
current = analysis.spec
reaches = analysis.flow.reaches_road.reshape(current.n_rows, current.n_cols)
+27 -2
View File
@@ -73,7 +73,11 @@ STALE_MESSAGE = (
def _build(
stored_path: str, context: DrainageContext, points: list[PipePoint] | None
stored_path: str,
context: DrainageContext,
points: list[PipePoint] | None,
routing: Any = None,
upstream_lonlat: list | None = None,
) -> tuple[DrainageDetail | None, list[PipePoint]]:
"""세부유역을 계산하고, 그 결과에 쓰인 관 목록을 함께 돌려준다.
@@ -83,7 +87,7 @@ def _build(
"""
directory = drainage_dir(stored_path)
chainages = [point.chainage_m for point in points] if points is not None else None
detail = build_detail(directory, context.vertices, chainages)
detail = build_detail(directory, context.vertices, chainages, routing, upstream_lonlat)
if detail is None:
return None, []
if points is not None:
@@ -377,6 +381,11 @@ def _raw_payload(
for basin in detail.basins
],
"pipe_count": len(points),
# 관 자리 후보(347-3) — 제안만 · [적용] 때 화면이 관 초안에 더함.
"pipe_candidates": [
{"chainage_m": round(pipe.chainage_m, 2), "lonlat": list(to_lonlat(pipe.x, pipe.y))}
for pipe in detail.pipe_candidates
],
}
@@ -479,6 +488,13 @@ async def _resolve(
return context, detail, resolved, saved, False
async def _analysis_stale(project_id: UUID) -> bool:
context, _ = await load_drainage_context(project_id)
if context is None:
return False
return analysis_route_signature(context.stored_path) != route_signature(context.vertices)
@router.get("/{project_id}/drainage/pipe-points", response_model=None)
async def get_pipe_points(project_id: UUID) -> dict[str, Any] | JSONResponse:
"""저장된 관 지점과 그 세부유역을 돌려준다. 저장분이 없으면 자동 생성한 목록."""
@@ -529,8 +545,17 @@ async def put_pipe_points(
project_id: UUID,
payload: dict[str, Any] | None = None,
session: dict[str, Any] | None = Depends(get_optional_session), # 가져온이(142-2)
recompute: bool = False,
) -> dict[str, Any] | JSONResponse:
"""관 지점을 정본으로 확정하고 세부유역 산출물까지 함께 남긴다(모델 확정 시점)."""
# [확정](recompute) = 낡았으면 지금 노선으로 배수유역부터 다시 셈(정본 · 작업본에 씀 · 347-2) ·
# [저장] = 낡음 표시 달고 관만 저장.
if recompute and await _analysis_stale(project_id):
from B04_PreProcess.B04_PreProcess_Router_Watershed import get_primary_region
region = await get_primary_region(project_id, refresh=True)
if isinstance(region, JSONResponse):
return region
resolved = await _resolve(project_id, payload, use_stored=True, fresh=True)
if isinstance(resolved, JSONResponse):
return resolved
@@ -569,3 +569,7 @@ async def get_primary_region(
_log_steps("배수유역 분석 내부", marks)
_save_response(prepared["stored_path"], payload)
return payload
# 「지금 노선으로 셈」(347-2) — 같은 router 에 붙임(그 파일이 이 router 를 읽음).
from B04_PreProcess import B04_PreProcess_Router_Watershed_Live # noqa: E402, F401
@@ -0,0 +1,152 @@
"""「지금 노선으로 셈」(347-2) — 노선 초안 + 관 자리로 배수유역 · 세부 유역을 한 요청에 셈.
서버 단독(③) · **작업본에 안 씀** — `00_watershed_response.json` · 격자 배열 · 관 지점은 그대로이고
답으로만 돌려준다(파생 저장본 = 흐름 방향 · 도엽 좌표만 · 347-1). 세부 유역 나눔까지 같은 요청에서
메모리 격자로 해 격자를 화면에 넘기지 않는다.
프로젝트마다 「마지막 차례」를 적어 두고 단계 사이(1차 영역 뒤 · 확장 회차마다 · 세부 유역 앞)에서
차례가 바뀌었으면 그만둔다(`superseded`). 화면은 늦은 답을 차례 · 노선 지문으로 한 번 더 거른다.
라우터는 `B04_PreProcess_Router_Watershed.router` 에 붙는다(그 파일 끝에서 읽음).
"""
from __future__ import annotations
import asyncio
import math
from dataclasses import replace
from typing import Any
from uuid import UUID
from fastapi.responses import JSONResponse
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Analyze import preview_stages
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Expand import AnalysisStopped
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Export import drainage_dir
from B04_PreProcess.B04_PreProcess_Router_Basins import _build, _payload
from B04_PreProcess.B04_PreProcess_Router_Watershed import _prepare, router
from common_util.common_util_drainage_context import _open_sampler, load_drainage_context
from common_util.common_util_drainage_detail import RoadRouting
from common_util.common_util_drainage_pipes import parse_pipe_points
from common_util.common_util_route_geometry import RouteVertex, build_route_vertices
from common_util.common_util_route_polyline import build_planned_polyline
from common_util.common_util_route_profile import resolve_route_profile
from config.config_system import DRAINAGE_ARROW_SPACING_M
# 프로젝트 → 마지막으로 받은 차례 번호. ponytail: 서버 프로세스 하나 전제(여럿이면 DB · 파일로).
_LATEST_GENERATION: dict[str, int] = {}
SUPERSEDED = {"status": "superseded"}
def draft_vertices(draft: dict[str, Any], min_radius_m: float) -> list[RouteVertex]:
"""노선 초안(RouteDraft) → 그린 노선 정점(z 없음) — 노선 [확인]과 같은 폴리라인 규칙.
ponytail: 붙든 곡선 길이(curveLock · curveArc) · 측점 스냅은 안 봄 — 곡선 중점이 조금 다를 뿐
배수유역 결과엔 셀 몇 개 차이. 필요하면 노선 [확인] 길과 같이 넘김.
"""
nodes = [(float(x), float(y)) for x, y in draft["nodes"]]
flags = [bool(flag) for flag in draft.get("curveOn") or [True] * len(nodes)]
radii = [None if r is None else float(r) for r in draft.get("curveRadius") or []]
polyline = build_planned_polyline(
nodes, min_radius_m=min_radius_m, simplify=False, curve_flags=flags, radii=radii or None
)
return build_route_vertices([{"x": x, "y": y} for x, y in polyline.vertices])
def live_routing(preview: Any, route_xy: list[tuple[float, float]], to_lonlat: Any) -> RoadRouting:
"""분석 결과(메모리) → 세부 유역 나눔 입력 — 파일 길(`_write_road_routing` → 읽기)과 같은 값."""
routing, road = preview.routing, preview.road
return RoadRouting(
spec=preview.spec,
road_slot=routing.road_slot,
path_length=routing.path_length,
elevation=preview.terrain.elevation.reshape(-1),
road_cell_index=road.cell_index,
road_chainage=road.chainage,
strength=routing.strength,
route_lonlat=[list(to_lonlat(x, y)) for x, y in route_xy],
basin_lonlat=[list(to_lonlat(x, y)) for x, y in preview.basin_boundary_xy],
base_pipes=list(preview.pipes),
flow_arrows=[
[round(x, 2), round(y, 2), round(math.degrees(angle), 1), reaches, cells]
for x, y, angle, reaches, cells in preview.flow_arrows
],
arrow_spacing_m=DRAINAGE_ARROW_SPACING_M,
)
@router.post("/{project_id}/drainage/live", response_model=None)
async def post_drainage_live(
project_id: UUID, payload: dict[str, Any] | None = None
) -> dict[str, Any] | JSONResponse:
"""몸통 = {generation, route: RouteDraft | null(저장 노선), points: 관 목록 | null(자동)}."""
body = payload or {}
generation = int(body.get("generation") or 0)
key = str(project_id)
_LATEST_GENERATION[key] = generation
def superseded() -> bool:
return _LATEST_GENERATION.get(key) != generation
try:
raw = body.get("points")
points = None if raw is None else parse_pipe_points(raw)
except ValueError as error:
return JSONResponse(status_code=400, content={"status": "error", "message": str(error)})
prepared = await _prepare(project_id)
if isinstance(prepared, JSONResponse):
return prepared
context, reason = await load_drainage_context(project_id)
if context is None:
return JSONResponse(status_code=404, content={"status": "error", "message": reason})
vertices = context.vertices
draft = body.get("route")
if draft and len(draft.get("nodes") or []) >= 2:
from B05_Profile.B05_Profile_Router_Replan import _plan_criteria
radius_m, *_ = await _plan_criteria(project_id)
drawn = await asyncio.to_thread(draft_vertices, draft, radius_m)
sampler = await asyncio.to_thread(
_open_sampler, context.project_root, context.surface_params
)
vertices, _ = await asyncio.to_thread(resolve_route_profile, drawn, sampler=sampler)
if superseded():
return SUPERSEDED
try:
preview = await asyncio.to_thread(
preview_stages,
vertices,
prepared["contours"],
prepared["streams"],
(drainage_dir(context.stored_path), prepared["contour_key"]),
superseded,
)
except AnalysisStopped:
return SUPERSEDED
if preview is None or preview.routing is None:
return JSONResponse(
status_code=400,
content={"status": "error", "message": "지금 노선으로 배수유역을 정하지 못했습니다."},
)
if superseded():
return SUPERSEDED
live = replace(context, vertices=vertices)
to_lonlat = context.to_lonlat
routing = live_routing(preview, [(v.x, v.y) for v in vertices], to_lonlat)
upstream = [
[list(to_lonlat(x, y)) for x, y in line.coords] for line in preview.region.split.upstream
]
detail, carried = await asyncio.to_thread(
_build, context.stored_path, live, points, routing, upstream
)
if detail is None:
return JSONResponse(
status_code=400,
content={"status": "error", "message": "세부 유역을 나누지 못했습니다."},
)
result = _payload(project_id, live, detail, carried, False)
result["generation"] = generation
result["live"] = True
return result
+2 -2
View File
@@ -73,7 +73,7 @@ export function designTerrainGridNow(projectId: string): DesignTerrainGrid | nul
/** 한 번에 물을 수 있는 점 수 — 서버 `MAX_POINTS` 와 같은 값. */
const ELEVATION_CHUNK = 4000;
/** 계산 묶음 ground 단계에 넣을 격자 · 서버 길(PLAN 346-1). 서버 길 값은 mm 자리(응답 그대로). */
/** 계산 묶음 ground 단계에 넣을 격자 · 서버 길(PLAN 346-1). 서버 길도 소수 6자리 — 격자 길과 같은 값. */
export function groundStageDeps(projectId: string): Pick<GroundStageDeps, "grid" | "remote"> {
return {
grid: () => designTerrainGridNow(projectId),
@@ -88,7 +88,7 @@ export function groundStageDeps(projectId: string): Pick<GroundStageDeps, "grid"
method: "POST",
credentials: "include",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ points: chunk, terrain }),
body: JSON.stringify({ points: chunk, terrain, decimals: 6 }),
signal,
});
if (!response.ok) throw new Error(`지반고 요청 실패: HTTP ${response.status}`);
+5 -1
View File
@@ -62,6 +62,8 @@ class ElevationRequest(BaseModel):
points: list[tuple[float, float]] = Field(..., min_length=1, max_length=MAX_POINTS)
terrain: AnalysisTerrain | None = None
#: 표고 자릿수 — 화면 값은 mm(3) · 계산 묶음 서버 길은 6(격자 표본 · 서버 생성과 같은 자리).
decimals: int = Field(3, ge=0, le=6)
def _sample(project_root: Path, params: dict, points: list[tuple[float, float]]):
@@ -112,7 +114,9 @@ async def read_route_elevations(project_id: UUID, request: ElevationRequest) ->
return {
"status": "success",
"project_id": str(project_id),
"z": [None if not ok else round(float(value), 3) for value, ok in zip(z, valid)],
"z": [
None if not ok else round(float(value), request.decimals) for value, ok in zip(z, valid)
],
"valid": [bool(ok) for ok in valid],
}
+35 -129
View File
@@ -25,7 +25,6 @@ from __future__ import annotations
import json
import logging
import math
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
@@ -36,10 +35,11 @@ from B04_PreProcess.B04_PreProcess_Engine_Watershed_Analyze import find_inflow_h
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Export import STAGES
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Flow import polygon_parts, polygonize_labels
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Grid import GridSpec
from common_util.common_util_drainage_pipes import (
PIPE_FACILITY_BOX,
PIPE_FACILITY_FORD_BRIDGE,
PIPE_FACILITY_PIPE,
from common_util.common_util_drainage_sizing import ( # noqa: F401 — 옛 자리에서 읽는 곳
estimate_pipe_diameter_mm,
load_rainfall_idf,
recommend_structure,
size_pipe,
)
from common_util.common_util_route_geometry import (
RouteVertex,
@@ -48,24 +48,11 @@ from common_util.common_util_route_geometry import (
is_uphill_at,
)
from common_util.common_util_structure_station import snap_candidates
from common_util.common_util_wamis_rainfall import idf_intensity
from config.config_system import (
DRAINAGE_BOX_THRESHOLD_MM,
DRAINAGE_BRIDGE_THRESHOLD_MM,
DRAINAGE_DESIGN_FLOW_FACTOR,
DRAINAGE_DITCH_SAMPLE_M,
DRAINAGE_FLOW_AREA_RATIO,
DRAINAGE_MANNING_N,
DRAINAGE_PIPE_MAX_SPACING_M,
DRAINAGE_PIPE_MIN_SPACING_M,
DRAINAGE_PIPE_SLOPE_DEG,
DRAINAGE_RAINFALL_FILENAME,
DRAINAGE_RECOMMEND_DIAMETERS_MM,
DRAINAGE_RUNOFF_COEFFICIENT,
DRAINAGE_TC_MIN_MINUTES,
DRAINAGE_VELOCITY_MAX_MS,
DRAINAGE_VELOCITY_MIN_MS,
PIPE_DEFAULT_DIAMETER_MM,
)
logger = logging.getLogger(__name__)
@@ -98,6 +85,8 @@ class DrainageDetail:
strength_profile: list[list[float]] = field(default_factory=list)
# 유입 집중점 — [누가거리, 유입면적, 구역번호, 구역 내 순위]. 관 자리를 판단하는 근거.
inflow_hotspots: list[list[float]] = field(default_factory=list)
# 관 자리 후보(347-3) — 관 사이가 최대 간격을 넘는 구간의 흐름 세기 + 오목 자리 · 제안만.
pipe_candidates: list[StructureCandidate] = field(default_factory=list)
@dataclass
@@ -176,18 +165,23 @@ def build_detail(
directory: Path,
vertices: list[RouteVertex],
confirmed_chainages: list[float] | None = None,
routing: RoadRouting | None = None,
upstream_lonlat: list[list[list[float]]] | None = None,
) -> DrainageDetail | None:
"""B04 분석 결과를 읽어 관을 보충하고 세부유역을 나눈다.
`confirmed_chainages`를 주면 그 위치를 관으로 확정하고(사용자 편집 · 빈 목록 = 관 0개), None 이면
B04의 기본 관에 최대 간격 규칙으로 최소 개수만 보충한다. 어느 쪽이든 격자 해석은 하지 않는다.
`routing` · `upstream_lonlat` 을 주면 파일 대신 그것(「지금 노선으로 셈」 메모리 결과 · 347-2).
"""
routing = read_road_routing(directory)
routing = routing or read_road_routing(directory)
if routing is None or len(vertices) < 2:
return None
candidates: list[StructureCandidate] = []
if confirmed_chainages is not None:
pipes = pipes_from_chainages(vertices, confirmed_chainages)
candidates = suggest_pipe_positions(vertices, pipes, routing.strength_curve)
else:
# 저장분의 기본 관은 누가거리만 신뢰한다 — 좌표는 현재 노선 위로 다시 찍는다.
base = [
@@ -209,7 +203,9 @@ def build_detail(
grid_cell_m=routing.spec.cell_m,
flow_arrows=routing.flow_arrows,
arrow_spacing_m=routing.arrow_spacing_m,
upstream_lonlat=read_upstream_lines(directory),
upstream_lonlat=read_upstream_lines(directory)
if upstream_lonlat is None
else upstream_lonlat,
strength_profile=build_strength_profile(routing),
inflow_hotspots=[
[chainage, area, float(zone), float(rank)]
@@ -219,6 +215,7 @@ def build_detail(
vertices[-1].chainage_m,
)
],
pipe_candidates=candidates,
)
if not pipes:
return detail
@@ -475,6 +472,24 @@ def _best_position(
return float(positions[int(np.argmax(score))])
def suggest_pipe_positions(
vertices: list[RouteVertex],
pipes: list[StructureCandidate],
strength_curve: np.ndarray,
) -> list[StructureCandidate]:
"""관 자리 후보(347-3) — 지금 관 사이가 최대 간격을 넘는 구간만 간격 보충 규칙으로 고른 자리.
`_best_position`(흐름 세기 + 오목 · 성토 덜 선호) · 정수 m · 관 목록엔 안 넣음(제안).
"""
taken = [pipe.chainage_m for pipe in pipes]
filled = snap_candidates(place_pipes(vertices, pipes, strength_curve), vertices)
return [
pipe
for pipe in filled
if pipe.reason == "spacing" and all(abs(pipe.chainage_m - other) > 0.5 for other in taken)
]
def pipes_from_chainages(
vertices: list[RouteVertex], chainages: list[float]
) -> list[StructureCandidate]:
@@ -610,112 +625,3 @@ def _outlet_elevation(routing: RoadRouting, pipe_order: int, pipe_of_slot: np.nd
elevations = routing.elevation[routing.road_cell_index[slots]]
finite = elevations[np.isfinite(elevations)]
return float(finite.min()) if finite.size else 0.0
def load_rainfall_idf(directory: Path) -> dict[str, float] | None:
"""배수유역 폴더의 rainfall_table.json에서 설계빈도 IDF 적합계수를 읽는다.
파일은 B04 전처리(`/drainage/rainfall`)가 만든다. 없으면 None — 유효직경은
"미정"으로 남고, 강우량표가 생기는 순간 다음 세부유역 계산부터 채워진다.
"""
path = Path(directory) / DRAINAGE_RAINFALL_FILENAME
if not path.exists():
return None
try:
table = json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
logger.warning("강우량표를 읽지 못했습니다 (%s) — 유효직경 미산출.", path)
return None
idf = table.get("idf_design")
if not isinstance(idf, dict) or not all(k in idf for k in ("a", "b", "n")):
return None
return idf
def size_pipe(
area_m2: float,
relief_m: float,
flow_length_m: float,
idf: dict[str, float] | None,
) -> dict[str, float] | None:
"""유역 제원 + 설계빈도 IDF로 배수 유효직경(mm)과 산출 근거를 계산한다.
시행규칙 별표2 (가) 1호 방법: 100년빈도 확률강우량 + 홍수도달시간 → 합리식.
전 과정·계수 근거: docs/raw/guidelines/2026-08-05_임도_배수설계_규정_조사.md 4·6절.
① 도달시간 tc = 0.0663·L^0.77·(H/L)^-0.385 [Kirpich, hr] — 하한 5분
② 강우강도 I = General형 적합식 I(tc) [mm/hr]
③ 합리식 Q = (1/3.6)·C·I·A[km²], 설계유량 = 2.0·Q (별표2)
④ 유속 V = Manning(경사 10도 고정, n=0.024) → 0.8~3.0m/s 클램프
⑤ 통수단면 70%만 유효 → D = √(4·(Q설계/V)/(0.7π))
"""
if idf is None or area_m2 <= 0:
return None
length_km = max(flow_length_m, 1.0) / 1000.0
slope = max(relief_m, 0.1) / max(flow_length_m, 1.0)
tc_hr = 0.0663 * (length_km**0.77) * (slope**-0.385)
tc_min = max(DRAINAGE_TC_MIN_MINUTES, tc_hr * 60.0)
intensity = idf_intensity(idf, tc_min)
flow = DRAINAGE_RUNOFF_COEFFICIENT * intensity * (area_m2 / 1e6) / 3.6
design_flow = DRAINAGE_DESIGN_FLOW_FACTOR * flow
if design_flow <= 0:
return None
pipe_slope = math.tan(math.radians(DRAINAGE_PIPE_SLOPE_DEG))
diameter = 0.5
for _ in range(20):
velocity = (
(1.0 / DRAINAGE_MANNING_N) * (diameter / 4.0) ** (2.0 / 3.0) * math.sqrt(pipe_slope)
)
velocity = min(DRAINAGE_VELOCITY_MAX_MS, max(DRAINAGE_VELOCITY_MIN_MS, velocity))
required_area = design_flow / velocity
updated = math.sqrt(4.0 * required_area / (DRAINAGE_FLOW_AREA_RATIO * math.pi))
if abs(updated - diameter) < 1e-4:
diameter = updated
break
diameter = updated
return {
"tc_minutes": round(tc_min, 1),
"intensity_mm_hr": round(intensity, 1),
"design_flow_m3s": round(design_flow, 4),
"diameter_mm": round(diameter * 1000.0, 1),
# 물넘이·세월교는 관이 아니라 개수로라 직경 대신 이 단면적에서 출발한다.
"required_area_m2": round(required_area, 4),
}
def recommend_structure(diameter_mm: float | None) -> tuple[str, int | None]:
"""유효직경으로 추천 구조물과 관경을 고른다 (2026-08-17 사용자 확정: 유량 근거만).
지식DB 선정 트리(개거_세월시설 §5·횡단배수관_암거 §5)에서 유량 조건만 취했다 —
계곡 횡단경사·하천 차수는 지형 계산이 필요해 화면이 "현장 확인"으로 안내한다.
D ≤ 1,500㎜ 배관 (레지스트리 선택지로 스냅, 하한 800㎜)
1,500 < D ≤ 2,000 BOX암거 후보
D > 2,000㎜ 세월교·물넘이 검토 (관 최대 규격 초과)
유효직경을 못 구한 유역(강우량표 없음)은 배관·관경 미정으로 둔다.
"""
if diameter_mm is None:
return PIPE_FACILITY_PIPE, None
if diameter_mm > DRAINAGE_BRIDGE_THRESHOLD_MM:
return PIPE_FACILITY_FORD_BRIDGE, None
if diameter_mm > DRAINAGE_BOX_THRESHOLD_MM:
return PIPE_FACILITY_BOX, None
# 별표2 (나) 예외 하한 800㎜ — 계산값이 더 작아도 그 아래로는 내리지 않는다.
need = max(float(PIPE_DEFAULT_DIAMETER_MM), diameter_mm)
size = next(
(value for value in DRAINAGE_RECOMMEND_DIAMETERS_MM if value >= need),
DRAINAGE_RECOMMEND_DIAMETERS_MM[-1],
)
return PIPE_FACILITY_PIPE, int(size)
def estimate_pipe_diameter_mm(
area_m2: float,
relief_m: float,
flow_length_m: float,
idf: dict[str, float] | None = None,
) -> float | None:
"""유역 제원으로 배수 유효직경(mm)만 돌려주는 축약형 — 상세는 size_pipe()."""
sizing = size_pipe(area_m2, relief_m, flow_length_m, idf)
return sizing["diameter_mm"] if sizing else None
+145
View File
@@ -0,0 +1,145 @@
"""배수 관경 산정 — 강우량표 읽기 · 합리식 유효직경 · 추천 구조물.
세부 유역 엔진(`common_util_drainage_detail` · 700줄로 나눔)이 유역 제원으로 부름 ·
이름은 그 파일에서도 그대로 읽힘.
"""
from __future__ import annotations
import json
import logging
import math
from pathlib import Path
from common_util.common_util_drainage_pipes import (
PIPE_FACILITY_BOX,
PIPE_FACILITY_FORD_BRIDGE,
PIPE_FACILITY_PIPE,
)
from common_util.common_util_wamis_rainfall import idf_intensity
from config.config_system import (
DRAINAGE_BOX_THRESHOLD_MM,
DRAINAGE_BRIDGE_THRESHOLD_MM,
DRAINAGE_DESIGN_FLOW_FACTOR,
DRAINAGE_FLOW_AREA_RATIO,
DRAINAGE_MANNING_N,
DRAINAGE_PIPE_SLOPE_DEG,
DRAINAGE_RAINFALL_FILENAME,
DRAINAGE_RECOMMEND_DIAMETERS_MM,
DRAINAGE_RUNOFF_COEFFICIENT,
DRAINAGE_TC_MIN_MINUTES,
DRAINAGE_VELOCITY_MAX_MS,
DRAINAGE_VELOCITY_MIN_MS,
PIPE_DEFAULT_DIAMETER_MM,
)
logger = logging.getLogger(__name__)
def load_rainfall_idf(directory: Path) -> dict[str, float] | None:
"""배수유역 폴더의 rainfall_table.json에서 설계빈도 IDF 적합계수를 읽는다.
파일은 B04 전처리(`/drainage/rainfall`)가 만든다. 없으면 None — 유효직경은
"미정"으로 남고, 강우량표가 생기는 순간 다음 세부유역 계산부터 채워진다.
"""
path = Path(directory) / DRAINAGE_RAINFALL_FILENAME
if not path.exists():
return None
try:
table = json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
logger.warning("강우량표를 읽지 못했습니다 (%s) — 유효직경 미산출.", path)
return None
idf = table.get("idf_design")
if not isinstance(idf, dict) or not all(k in idf for k in ("a", "b", "n")):
return None
return idf
def size_pipe(
area_m2: float,
relief_m: float,
flow_length_m: float,
idf: dict[str, float] | None,
) -> dict[str, float] | None:
"""유역 제원 + 설계빈도 IDF로 배수 유효직경(mm)과 산출 근거를 계산한다.
시행규칙 별표2 (가) 1호 방법: 100년빈도 확률강우량 + 홍수도달시간 → 합리식.
전 과정·계수 근거: docs/raw/guidelines/2026-08-05_임도_배수설계_규정_조사.md 4·6절.
① 도달시간 tc = 0.0663·L^0.77·(H/L)^-0.385 [Kirpich, hr] — 하한 5분
② 강우강도 I = General형 적합식 I(tc) [mm/hr]
③ 합리식 Q = (1/3.6)·C·I·A[km²], 설계유량 = 2.0·Q (별표2)
④ 유속 V = Manning(경사 10도 고정, n=0.024) → 0.8~3.0m/s 클램프
⑤ 통수단면 70%만 유효 → D = √(4·(Q설계/V)/(0.7π))
"""
if idf is None or area_m2 <= 0:
return None
length_km = max(flow_length_m, 1.0) / 1000.0
slope = max(relief_m, 0.1) / max(flow_length_m, 1.0)
tc_hr = 0.0663 * (length_km**0.77) * (slope**-0.385)
tc_min = max(DRAINAGE_TC_MIN_MINUTES, tc_hr * 60.0)
intensity = idf_intensity(idf, tc_min)
flow = DRAINAGE_RUNOFF_COEFFICIENT * intensity * (area_m2 / 1e6) / 3.6
design_flow = DRAINAGE_DESIGN_FLOW_FACTOR * flow
if design_flow <= 0:
return None
pipe_slope = math.tan(math.radians(DRAINAGE_PIPE_SLOPE_DEG))
diameter = 0.5
for _ in range(20):
velocity = (
(1.0 / DRAINAGE_MANNING_N) * (diameter / 4.0) ** (2.0 / 3.0) * math.sqrt(pipe_slope)
)
velocity = min(DRAINAGE_VELOCITY_MAX_MS, max(DRAINAGE_VELOCITY_MIN_MS, velocity))
required_area = design_flow / velocity
updated = math.sqrt(4.0 * required_area / (DRAINAGE_FLOW_AREA_RATIO * math.pi))
if abs(updated - diameter) < 1e-4:
diameter = updated
break
diameter = updated
return {
"tc_minutes": round(tc_min, 1),
"intensity_mm_hr": round(intensity, 1),
"design_flow_m3s": round(design_flow, 4),
"diameter_mm": round(diameter * 1000.0, 1),
# 물넘이·세월교는 관이 아니라 개수로라 직경 대신 이 단면적에서 출발한다.
"required_area_m2": round(required_area, 4),
}
def recommend_structure(diameter_mm: float | None) -> tuple[str, int | None]:
"""유효직경으로 추천 구조물과 관경을 고른다 (2026-08-17 사용자 확정: 유량 근거만).
지식DB 선정 트리(개거_세월시설 §5·횡단배수관_암거 §5)에서 유량 조건만 취했다 —
계곡 횡단경사·하천 차수는 지형 계산이 필요해 화면이 "현장 확인"으로 안내한다.
D ≤ 1,500㎜ 배관 (레지스트리 선택지로 스냅, 하한 800㎜)
1,500 < D ≤ 2,000 BOX암거 후보
D > 2,000㎜ 세월교·물넘이 검토 (관 최대 규격 초과)
유효직경을 못 구한 유역(강우량표 없음)은 배관·관경 미정으로 둔다.
"""
if diameter_mm is None:
return PIPE_FACILITY_PIPE, None
if diameter_mm > DRAINAGE_BRIDGE_THRESHOLD_MM:
return PIPE_FACILITY_FORD_BRIDGE, None
if diameter_mm > DRAINAGE_BOX_THRESHOLD_MM:
return PIPE_FACILITY_BOX, None
# 별표2 (나) 예외 하한 800㎜ — 계산값이 더 작아도 그 아래로는 내리지 않는다.
need = max(float(PIPE_DEFAULT_DIAMETER_MM), diameter_mm)
size = next(
(value for value in DRAINAGE_RECOMMEND_DIAMETERS_MM if value >= need),
DRAINAGE_RECOMMEND_DIAMETERS_MM[-1],
)
return PIPE_FACILITY_PIPE, int(size)
def estimate_pipe_diameter_mm(
area_m2: float,
relief_m: float,
flow_length_m: float,
idf: dict[str, float] | None = None,
) -> float | None:
"""유역 제원으로 배수 유효직경(mm)만 돌려주는 축약형 — 상세는 size_pipe()."""
sizing = size_pipe(area_m2, relief_m, flow_length_m, idf)
return sizing["diameter_mm"] if sizing else None
@@ -114,3 +114,30 @@ def test_받을_자리_서명은_manifest_구성과_평활(tmp_path):
)
assert terrain_router._design_grid({**PARAMS, "method": "tin"}, models, confirmed) is None
assert terrain_router._design_grid(PARAMS, models, None) is None
def test_지반고_자릿수_기본_3_묶음은_6(tmp_path, monkeypatch):
root = tmp_path
models = root / "B04_PreProcess" / "models"
models.mkdir(parents=True)
x = np.arange(0.0, 11.0)
np.savez(
models / "dtm_csf_smooth.npz",
x=x,
y=x,
z=np.add.outer(x * 0.0, x * 0.1234567),
valid_mask=np.ones((11, 11), dtype=bool),
)
_patch(monkeypatch, root, None)
async def params(_connection, _project_id):
return dict(PARAMS)
monkeypatch.setattr(terrain_router, "get_surface_confirmation_params", params)
ask = terrain_router.ElevationRequest
plain = asyncio.run(terrain_router.read_route_elevations(PID, ask(points=[(5.5, 5.0)])))
fine = asyncio.run(
terrain_router.read_route_elevations(PID, ask(points=[(5.5, 5.0)], decimals=6))
)
assert plain["z"] == [round(5.5 * 0.1234567, 3)]
assert fine["z"] == [round(5.5 * 0.1234567, 6)]
@@ -0,0 +1,169 @@
"""347-2 「지금 노선으로 셈」 서버 길 · 347-3 관 자리 후보.
- 늦은 차례: 계산 중 새 차례가 오면 단계 사이에서 그만둠(superseded) · 작업본에 안 씀.
- 메모리 격자로 세부 유역(파일 안 읽음) · 노선 초안 → 그린 노선.
- 관 자리 후보: 최대 간격(100 m)을 넘는 구간에만 · 기존 관 자리엔 안 냄 · 관 목록엔 안 넣음.
- [확정](recompute) = 낡았으면 배수유역부터 다시 셈 · [저장] = 안 셈.
"""
import asyncio
import math
from pathlib import Path
from types import SimpleNamespace
from uuid import uuid4
import numpy as np
import pytest
from shapely.geometry import LineString
from B04_PreProcess import B04_PreProcess_Engine_Watershed_Expand as expand
from B04_PreProcess import B04_PreProcess_Router_Basins as basins
from B04_PreProcess import B04_PreProcess_Router_Watershed_Live as live
from B04_PreProcess.B04_PreProcess_Engine_Watershed_Grid import GridSpec
from common_util.common_util_drainage_context import DrainageContext
from common_util.common_util_drainage_detail import (
RoadRouting,
build_detail,
pipes_from_chainages,
suggest_pipe_positions,
)
from common_util.common_util_route_geometry import RouteVertex
VERTICES = [RouteVertex(0.0, 0.0, 100.0, 0.0), RouteVertex(300.0, 0.0, 90.0, 300.0)]
def test_draft_vertices_follow_nodes():
draft = {"nodes": [[0, 0], [100, 0], [100, 100]], "curveOn": [False, False, False]}
vertices = live.draft_vertices(draft, 30.0)
assert vertices[0].x == 0 and vertices[-1].y == 100
assert math.isclose(vertices[-1].chainage_m, 200.0)
def test_candidates_only_in_long_gaps():
strength = np.zeros(301)
strength[150] = 50.0 # 흐름이 모이는 자리
pipes = pipes_from_chainages(VERTICES, [0.0, 300.0])
picked = suggest_pipe_positions(VERTICES, pipes, strength)
assert picked and all(0 < pipe.chainage_m < 300 for pipe in picked)
assert all(pipe.chainage_m == round(pipe.chainage_m) for pipe in picked) # 정수 m
dense = pipes_from_chainages(VERTICES, [0.0, 90.0, 180.0, 270.0, 300.0])
assert suggest_pipe_positions(VERTICES, dense, strength) == []
def _routing() -> RoadRouting:
spec = GridSpec(x_min=-5.0, y_max=5.0, cell_m=1.0, n_rows=10, n_cols=310)
road_index = np.arange(5 * 310 + 5, 5 * 310 + 305, dtype=np.int32)
road_slot = np.full(spec.size, -1, dtype=np.int32)
road_slot[road_index] = np.arange(road_index.size)
return RoadRouting(
spec=spec,
road_slot=road_slot,
path_length=np.zeros(spec.size, np.float32),
elevation=np.full(spec.size, 95.0, np.float32),
road_cell_index=road_index,
road_chainage=np.arange(road_index.size, dtype=np.float64),
strength=np.ones(road_index.size, np.int64),
)
def test_build_detail_uses_memory_routing(tmp_path):
missing = tmp_path / "없는 폴더" # 파일을 읽으면 None 이 됨
detail = build_detail(missing, VERTICES, [0.0, 300.0], _routing(), [])
assert detail is not None and detail.pipe_candidates
assert build_detail(missing, VERTICES, [0.0, 300.0]) is None
def _patch_live(monkeypatch, preview_fn):
async def prepare(project_id):
return {"contours": [], "streams": [], "contour_key": "k"}
async def load(project_id):
return DrainageContext(stored_path="x", project_root=Path("."), vertices=VERTICES), ""
monkeypatch.setattr(live, "_prepare", prepare)
monkeypatch.setattr(live, "load_drainage_context", load)
monkeypatch.setattr(live, "drainage_dir", lambda stored: Path("."))
monkeypatch.setattr(live, "preview_stages", preview_fn)
calls = SimpleNamespace(build=0)
def build(*args):
calls.build += 1
return None, []
monkeypatch.setattr(live, "_build", build)
return calls
def test_newer_generation_stops_between_stages(monkeypatch):
pid = uuid4()
def preview(vertices, contours, streams, store, should_stop):
live._LATEST_GENERATION[str(pid)] = 8 # 계산 중 새 조작 → 새 요청이 차례를 올림
if should_stop():
raise expand.AnalysisStopped
calls = _patch_live(monkeypatch, preview)
result = asyncio.run(live.post_drainage_live(pid, {"generation": 7, "points": []}))
assert result == live.SUPERSEDED and calls.build == 0
def test_newer_generation_after_preview_skips_split(monkeypatch):
pid = uuid4()
def preview(vertices, contours, streams, store, should_stop):
assert not should_stop()
live._LATEST_GENERATION[str(pid)] = 3
return SimpleNamespace(routing=object())
calls = _patch_live(monkeypatch, preview)
result = asyncio.run(live.post_drainage_live(pid, {"generation": 2}))
assert result == live.SUPERSEDED and calls.build == 0
def test_engine_stops_in_expansion_round():
contours = [
{
"geometry": {
"type": "LineString",
"coordinates": [
[150 + r * math.cos(t), -150 + r * math.sin(t)]
for t in np.linspace(0, 2 * math.pi, 121)
],
},
"properties": {"elevation": 300 - r},
}
for r in range(10, 200, 10)
]
spec = GridSpec(x_min=100.0, y_max=-100.0, cell_m=1.0, n_rows=100, n_cols=100)
domain = np.zeros((100, 100), bool)
domain[20:80, 20:80] = True
route = LineString([(110.0, -150.0), (190.0, -150.0)])
with pytest.raises(expand.AnalysisStopped):
expand.expand_by_red_boundary(
spec, domain, contours, route, [], None, should_stop=lambda: True
)
@pytest.mark.parametrize(
"recompute, stale, expected", [(True, True, 1), (True, False, 0), (False, True, 0)]
)
def test_confirm_recomputes_only_when_stale(monkeypatch, recompute, stale, expected):
import B04_PreProcess.B04_PreProcess_Router_Watershed as watershed
calls = []
async def is_stale(project_id):
return stale
async def region(project_id, refresh=False):
calls.append(refresh)
return {"status": "success"}
async def resolve(*args, **kwargs):
return basins.JSONResponse(status_code=404, content={})
monkeypatch.setattr(basins, "_analysis_stale", is_stale)
monkeypatch.setattr(watershed, "get_primary_region", region)
monkeypatch.setattr(basins, "_resolve", resolve)
asyncio.run(basins.put_pipe_points(uuid4(), {"points": []}, None, recompute))
assert len(calls) == expected and all(calls)