Добавить имитаторы МЛЭ и ГБО с 3D-сценой, съёмкой рельефа и пресетами.

Вкладки позволяют готовить рельеф, двигать АНПА, накапливать поверхность по лучам и сохранять скриншоты окон; ГБО использует бортовые секторы 12–75° и чёрные зоны вне обзора.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
2026-07-21 15:43:08 +03:00
co-authored by Cursor
parent 8b248e1d54
commit 6cfc16e53c
18 changed files with 5512 additions and 12 deletions
+4
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@@ -50,6 +50,10 @@ frontend/web/dist/
# Generated PointNet sonar dataset
sonar_dataset/
# MLE simulator seafloor runs
mle_runs/
gbo_runs/
# OS/editor files
.DS_Store
Thumbs.db
+250 -3
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@@ -9,8 +9,10 @@ Target class 1 = user-provided object; class 0 = seafloor.
from __future__ import annotations
import json
import math
import random
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
@@ -18,6 +20,7 @@ from scene_generator import (
apply_transform,
export_npy_float64,
export_obj,
parse_obj_labeled_points,
parse_obj_points,
)
@@ -474,6 +477,10 @@ def resolve_output_dir(output_dir: str | Path = "sonar_dataset") -> Path:
return out
DATASET_RUN_FILENAME = "dataset_run.json"
DATASET_RUN_VERSION = 1
def _safe_object_stem(object_name: str | None) -> str:
stem = Path(object_name or "object").stem
safe = "".join(ch if ch.isalnum() or ch in "_-" else "_" for ch in stem).strip("._-")
@@ -503,6 +510,221 @@ def make_generation_run_dir(base_dir: Path, object_name: str | None = None) -> P
return path
def _normalize_model_filename(name: str | None) -> str | None:
"""Keep the full uploaded basename, e.g. ``airplane2.obj``."""
if not name:
return None
base = Path(str(name).strip()).name
return base or None
def build_run_manifest(
*,
run_dir: Path,
base_dir: Path,
count: int,
seed: int,
output_dir: str,
object_name: str | None,
object_scale: float,
object_scale_is_max: bool,
beam_count: int,
length_count: int,
object_vertex_count: int,
stats: dict[str, Any],
written: list[dict[str, Any]],
) -> dict[str, Any]:
model_filename = _normalize_model_filename(object_name)
return {
"version": DATASET_RUN_VERSION,
"generatedAt": datetime.now(timezone.utc).isoformat(),
"runName": run_dir.name,
"outputDir": str(run_dir),
"baseDir": str(base_dir),
"objectName": model_filename,
"settings": {
"count": int(count),
"seed": int(seed),
"outputDir": str(output_dir),
"objectScale": float(object_scale),
"objectScaleIsMax": bool(object_scale_is_max),
"beamCount": int(beam_count),
"lengthCount": int(length_count),
"objectName": model_filename,
},
"objectVertexCount": int(object_vertex_count),
"stats": stats,
"written": written,
}
def write_run_manifest(run_dir: Path, manifest: dict[str, Any]) -> Path:
run_dir.mkdir(parents=True, exist_ok=True)
path = run_dir / DATASET_RUN_FILENAME
path.write_text(json.dumps(manifest, ensure_ascii=False, indent=2), encoding="utf-8")
return path
def read_run_manifest(run_dir: Path) -> dict[str, Any] | None:
path = run_dir / DATASET_RUN_FILENAME
if not path.is_file():
return None
try:
data = json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
return None
return data if isinstance(data, dict) else None
def _scene_entry_from_files(run_dir: Path, stem: str) -> dict[str, Any]:
npy_path = run_dir / f"{stem}.npy"
obj_path = run_dir / f"{stem}.obj"
entry: dict[str, Any] = {
"stem": stem,
"visibility": "unknown",
"hasObject": None,
"pointCount": None,
"objectPointCount": None,
}
if npy_path.is_file():
try:
rows = load_npy_float64_rows(npy_path)
object_point_count = sum(1 for row in rows if int(row[6]) == 1)
entry["pointCount"] = len(rows)
entry["objectPointCount"] = object_point_count
entry["hasObject"] = object_point_count > 0
except (OSError, ValueError, IndexError):
pass
elif obj_path.is_file():
try:
text = obj_path.read_text(encoding="utf-8", errors="ignore")
labeled = parse_obj_labeled_points(text)
if labeled:
object_point_count = sum(1 for row in labeled if int(row[3]) == 1)
entry["pointCount"] = len(labeled)
entry["objectPointCount"] = object_point_count
entry["hasObject"] = object_point_count > 0
else:
points = parse_obj_points(text)
entry["pointCount"] = len(points)
except OSError:
pass
return entry
def scan_run_scenes(run_dir: Path) -> list[dict[str, Any]]:
stems: set[str] = set()
for pattern in ("*.obj", "*.npy"):
for path in run_dir.glob(pattern):
if path.is_file():
stems.add(path.stem)
return [_scene_entry_from_files(run_dir, stem) for stem in sorted(stems)]
def _run_has_scene_files(path: Path) -> bool:
return any(path.glob("*.obj")) or any(path.glob("*.npy"))
def _relative_to_project(path: Path) -> str:
project_root = Path(__file__).resolve().parent.parent
try:
return str(path.relative_to(project_root))
except ValueError:
return str(path)
def list_dataset_runs(output_dir: str | Path = "sonar_dataset") -> list[dict[str, Any]]:
"""List dataset run folders under the base output directory."""
base = resolve_output_dir(output_dir)
runs: list[dict[str, Any]] = []
if base.is_dir() and _run_has_scene_files(base):
manifest = read_run_manifest(base)
written = manifest.get("written") if manifest else scan_run_scenes(base)
runs.append(
{
"runName": "(корень)",
"outputDir": str(base),
"loadPath": _relative_to_project(base),
"sceneCount": len(written),
"hasSettings": manifest is not None,
"generatedAt": manifest.get("generatedAt") if manifest else None,
"objectName": (manifest or {}).get("objectName")
or (manifest or {}).get("settings", {}).get("objectName"),
}
)
if not base.is_dir():
return runs
for child in sorted(base.iterdir(), key=lambda p: p.name, reverse=True):
if not child.is_dir() or not _run_has_scene_files(child):
continue
manifest = read_run_manifest(child)
written = manifest.get("written") if manifest else scan_run_scenes(child)
runs.append(
{
"runName": child.name,
"outputDir": str(child),
"loadPath": _relative_to_project(child),
"sceneCount": len(written),
"hasSettings": manifest is not None,
"generatedAt": manifest.get("generatedAt") if manifest else None,
"objectName": (manifest or {}).get("objectName")
or (manifest or {}).get("settings", {}).get("objectName"),
}
)
return runs
def load_dataset_run(output_dir: str | Path) -> dict[str, Any]:
"""Load a dataset run folder: settings, stats and scene list."""
run_dir = resolve_output_dir(output_dir)
if not run_dir.is_dir():
raise FileNotFoundError(f"Dataset folder not found: {run_dir}")
if not _run_has_scene_files(run_dir):
raise FileNotFoundError(f"No scene files in dataset folder: {run_dir}")
manifest = read_run_manifest(run_dir)
written = manifest.get("written") if manifest else scan_run_scenes(run_dir)
if not written:
raise FileNotFoundError(f"No scenes found in dataset folder: {run_dir}")
settings = dict((manifest or {}).get("settings") or {})
model_filename = (
settings.get("objectName")
or (manifest.get("objectName") if manifest else None)
)
stats = dict((manifest or {}).get("stats") or {})
if not stats:
stats = {
"total": len(written),
"withObject": sum(1 for item in written if item.get("hasObject")),
"withoutObject": sum(1 for item in written if item.get("hasObject") is False),
}
base_dir = Path(manifest["baseDir"]) if manifest and manifest.get("baseDir") else run_dir.parent
return {
"outputDir": str(run_dir),
"baseDir": str(base_dir),
"runName": manifest.get("runName") if manifest else run_dir.name,
"generatedAt": manifest.get("generatedAt") if manifest else None,
"hasSettings": manifest is not None,
"settings": settings,
"objectVertexCount": (manifest or {}).get("objectVertexCount"),
"stats": stats,
"written": written,
"count": settings.get("count") or len(written),
"seed": settings.get("seed"),
"beamCount": settings.get("beamCount"),
"lengthCount": settings.get("lengthCount"),
"objectScale": settings.get("objectScale"),
"objectScaleIsMax": settings.get("objectScaleIsMax"),
"objectName": model_filename,
"classLabels": {"0": "background", "1": "object"},
}
def _downsample_points(points: list[list[float]], max_points: int) -> list[list[float]]:
max_points = max(100, int(max_points))
if len(points) <= max_points:
@@ -584,8 +806,10 @@ def load_scene_preview(
labeled = [[float(r[0]), float(r[1]), float(r[2]), float(r[6])] for r in rows]
elif obj_path.is_file():
text = obj_path.read_text(encoding="utf-8", errors="ignore")
points = parse_obj_points(text)
labeled = [[p[0], p[1], p[2], 0.0] for p in points]
labeled = parse_obj_labeled_points(text)
if not labeled:
points = parse_obj_points(text)
labeled = [[p[0], p[1], p[2], 0.0] for p in points]
else:
raise FileNotFoundError(f"Scene not found: {safe}.npy / {safe}.obj")
@@ -613,7 +837,11 @@ def write_scene_files(
npy_path = output_dir / f"{stem}.npy"
obj_path = output_dir / f"{stem}.obj"
npy_path.write_bytes(export_npy_float64(scene["rows"]))
obj_path.write_text(export_obj(scene["points"], object_name=stem), encoding="utf-8")
classes = [int(r[6]) for r in scene["rows"]]
obj_path.write_text(
export_obj(scene["points"], object_name=stem, classes=classes),
encoding="utf-8",
)
return {"npy": str(npy_path), "obj": str(obj_path), "stem": stem}
@@ -662,6 +890,8 @@ def iter_generate_dataset(
if length_count > 1024:
raise ValueError("length_count (Длина) must be <= 1024")
object_name = _normalize_model_filename(object_name)
base = resolve_output_dir(output_dir)
run_dir = make_generation_run_dir(base, object_name)
template = normalize_object_points(object_points)
@@ -773,6 +1003,23 @@ def iter_generate_dataset(
"written": written,
"preview": preview,
}
manifest = build_run_manifest(
run_dir=run_dir,
base_dir=base,
count=count,
seed=int(seed),
output_dir=str(output_dir),
object_name=object_name,
object_scale=object_scale,
object_scale_is_max=object_scale_is_max,
beam_count=beam_count,
length_count=length_count,
object_vertex_count=len(template),
stats=stats,
written=written,
)
write_run_manifest(run_dir, manifest)
result["settingsPath"] = str(run_dir / DATASET_RUN_FILENAME)
yield {"type": "done", "result": result}
+195 -1
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@@ -18,7 +18,15 @@ from pydantic import BaseModel
from builtin_presets import BUILTIN_PRESETS, get_builtin_preset
from demo_generator import DEMO_SURFACE_TYPES, demo_payload
from pipeline_insights import compute_insights
from dataset_generator import iter_generate_dataset, load_object_points_from_obj_text, load_scene_preview
from dataset_generator import (
iter_generate_dataset,
list_dataset_runs,
load_dataset_run,
load_object_points_from_obj_text,
load_scene_preview,
resolve_output_dir,
)
from mle_simulator import load_last_settings, prepare_mle_scene, save_last_settings, save_survey_surface
from scene_generator import (
catalog_payload as generator_catalog_payload,
export_npy_float64,
@@ -123,6 +131,54 @@ class DatasetPreviewBody(BaseModel):
maxPoints: int = 25000
class DatasetLoadBody(BaseModel):
outputDir: str
class MlePrepareBody(BaseModel):
seed: int = 42
sizeX: float = 40.0
sizeY: float = 60.0
resX: int = 80
resY: int = 120
outputDir: str = "mle_runs"
settings: dict[str, Any] | None = None
class MleSaveSurfaceBody(BaseModel):
outputDir: str
vertices: list[list[float]]
faces: list[list[int]]
filename: str = "seafloor.obj"
class MleSettingsBody(BaseModel):
outputDir: str = "mle_runs"
settings: dict[str, Any]
class GboPrepareBody(BaseModel):
seed: int = 42
sizeX: float = 40.0
sizeY: float = 60.0
resX: int = 80
resY: int = 120
outputDir: str = "gbo_runs"
settings: dict[str, Any] | None = None
class GboSaveSurfaceBody(BaseModel):
outputDir: str
vertices: list[list[float]]
faces: list[list[int]]
filename: str = "seafloor.obj"
class GboSettingsBody(BaseModel):
outputDir: str = "gbo_runs"
settings: dict[str, Any]
def preset_to_pipeline_config(preset: dict[str, Any]) -> dict[str, Any]:
if "preprocessPlugins" in preset and "reconstructionPlugin" in preset:
return preset
@@ -481,6 +537,26 @@ def dataset_preview(body: DatasetPreviewBody) -> dict[str, Any]:
raise HTTPException(status_code=500, detail=f"Failed to load scene: {exc}") from exc
@app.get("/api/dataset/runs")
def dataset_runs(outputDir: str = "sonar_dataset") -> dict[str, Any]:
try:
base_path = resolve_output_dir(outputDir or "sonar_dataset")
runs = list_dataset_runs(outputDir or "sonar_dataset")
return {"baseDir": str(base_path), "runs": runs}
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Failed to list dataset runs: {exc}") from exc
@app.post("/api/dataset/load")
def dataset_load(body: DatasetLoadBody) -> dict[str, Any]:
try:
return load_dataset_run(body.outputDir)
except FileNotFoundError as exc:
raise HTTPException(status_code=404, detail=str(exc)) from exc
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Failed to load dataset run: {exc}") from exc
@app.post("/api/generator/export")
def generator_export(body: GeneratorExportBody) -> Response:
from urllib.parse import quote
@@ -718,5 +794,123 @@ def dataset_spa() -> FileResponse:
return index()
@app.get("/mle")
def mle_spa() -> FileResponse:
return index()
@app.post("/api/mle/prepare")
def mle_prepare(body: MlePrepareBody) -> dict[str, Any]:
try:
result = prepare_mle_scene(
seed=body.seed,
size_x=body.sizeX,
size_y=body.sizeY,
res_x=body.resX,
res_y=body.resY,
output_dir=body.outputDir or "mle_runs",
settings=body.settings,
)
if body.settings:
try:
save_last_settings(body.settings, output_dir=body.outputDir or "mle_runs")
except OSError:
pass
return result
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Failed to prepare MLE scene: {exc}") from exc
@app.get("/api/mle/settings")
def mle_get_settings(outputDir: str = "mle_runs") -> dict[str, Any]:
return load_last_settings(output_dir=outputDir or "mle_runs")
@app.put("/api/mle/settings")
def mle_put_settings(body: MleSettingsBody) -> dict[str, Any]:
try:
return save_last_settings(body.settings or {}, output_dir=body.outputDir or "mle_runs")
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Failed to save MLE settings: {exc}") from exc
@app.post("/api/mle/save-surface")
def mle_save_surface(body: MleSaveSurfaceBody) -> dict[str, Any]:
try:
return save_survey_surface(
output_dir=body.outputDir,
vertices=body.vertices,
faces=body.faces,
filename=body.filename or "seafloor.obj",
)
except FileNotFoundError as exc:
raise HTTPException(status_code=404, detail=str(exc)) from exc
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Failed to save survey surface: {exc}") from exc
@app.get("/gbo")
def gbo_spa() -> FileResponse:
return index()
@app.post("/api/gbo/prepare")
def gbo_prepare(body: GboPrepareBody) -> dict[str, Any]:
try:
result = prepare_mle_scene(
seed=body.seed,
size_x=body.sizeX,
size_y=body.sizeY,
res_x=body.resX,
res_y=body.resY,
output_dir=body.outputDir or "gbo_runs",
settings=body.settings,
)
if body.settings:
try:
save_last_settings(body.settings, output_dir=body.outputDir or "gbo_runs")
except OSError:
pass
return result
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Failed to prepare GBO scene: {exc}") from exc
@app.get("/api/gbo/settings")
def gbo_get_settings(outputDir: str = "gbo_runs") -> dict[str, Any]:
return load_last_settings(output_dir=outputDir or "gbo_runs")
@app.put("/api/gbo/settings")
def gbo_put_settings(body: GboSettingsBody) -> dict[str, Any]:
try:
return save_last_settings(body.settings or {}, output_dir=body.outputDir or "gbo_runs")
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Failed to save GBO settings: {exc}") from exc
@app.post("/api/gbo/save-surface")
def gbo_save_surface(body: GboSaveSurfaceBody) -> dict[str, Any]:
try:
return save_survey_surface(
output_dir=body.outputDir,
vertices=body.vertices,
faces=body.faces,
filename=body.filename or "seafloor.obj",
)
except FileNotFoundError as exc:
raise HTTPException(status_code=404, detail=str(exc)) from exc
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Failed to save GBO survey surface: {exc}") from exc
if (WEB_DIST / "assets").is_dir():
app.mount("/assets", StaticFiles(directory=WEB_DIST / "assets"), name="assets")
+321
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@@ -0,0 +1,321 @@
"""Multibeam echosounder (МЛЭ) simulator helpers: seafloor mesh + OBJ export."""
from __future__ import annotations
import json
import math
import random
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
def resolve_mle_dir(output_dir: str | Path = "mle_runs") -> Path:
out = Path(output_dir)
if not out.is_absolute():
project_root = Path(__file__).resolve().parent.parent
out = project_root / out
return out
LAST_SETTINGS_FILENAME = "_last_settings.json"
def save_last_settings(
settings: dict[str, Any],
*,
output_dir: str | Path = "mle_runs",
) -> dict[str, Any]:
"""Persist UI preset so it survives app restarts."""
base = resolve_mle_dir(output_dir)
base.mkdir(parents=True, exist_ok=True)
payload = {
"savedAt": datetime.now(timezone.utc).isoformat(),
"settings": settings or {},
}
path = base / LAST_SETTINGS_FILENAME
path.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
return {"ok": True, "path": str(path), "savedAt": payload["savedAt"]}
def load_last_settings(*, output_dir: str | Path = "mle_runs") -> dict[str, Any]:
"""Load last UI preset from mle_runs/_last_settings.json."""
path = resolve_mle_dir(output_dir) / LAST_SETTINGS_FILENAME
if not path.is_file():
return {"settings": None, "savedAt": None, "path": str(path)}
try:
data = json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
return {"settings": None, "savedAt": None, "path": str(path)}
settings = data.get("settings") if isinstance(data, dict) else None
if not isinstance(settings, dict):
settings = data if isinstance(data, dict) else None
saved_at = data.get("savedAt") if isinstance(data, dict) else None
return {"settings": settings, "savedAt": saved_at, "path": str(path)}
def _height_at(
x: float,
y: float,
*,
base_z: float,
amplitude: float,
frequency: float,
hills: list[tuple[float, float, float, float]],
valleys: list[tuple[float, float, float, float]],
bumps: list[tuple[float, float, float, float]],
) -> float:
z = base_z + amplitude * math.sin(frequency * x) * math.cos(frequency * 0.7 * y)
for hx, hy, hamp, hrad in hills:
d2 = (x - hx) ** 2 + (y - hy) ** 2
z += hamp * math.exp(-d2 / max(hrad * hrad, 1e-6))
for vx, vy, vamp, vrad in valleys:
d2 = (x - vx) ** 2 + (y - vy) ** 2
z -= vamp * math.exp(-d2 / max(vrad * vrad, 1e-6))
for bx, by, bamp, brad in bumps:
d2 = (x - bx) ** 2 + (y - by) ** 2
z += bamp * math.exp(-d2 / max(brad * brad, 1e-6))
return z
def build_seafloor_params(
seed: int = 42,
*,
size_x: float = 40.0,
size_y: float = 60.0,
) -> dict[str, Any]:
rng = random.Random(int(seed))
size_x = max(4.0, float(size_x))
size_y = max(4.0, float(size_y))
base_z = rng.uniform(-8.0, -3.0)
amplitude = rng.uniform(0.15, 0.6)
frequency = rng.uniform(0.15, 0.55)
hills = [
(
rng.uniform(-size_x * 0.4, size_x * 0.4),
rng.uniform(-size_y * 0.4, size_y * 0.4),
rng.uniform(0.3, 1.4),
rng.uniform(2.0, 8.0),
)
for _ in range(rng.randint(2, 5))
]
valleys = [
(
rng.uniform(-size_x * 0.4, size_x * 0.4),
rng.uniform(-size_y * 0.4, size_y * 0.4),
rng.uniform(0.2, 0.9),
rng.uniform(2.0, 7.0),
)
for _ in range(rng.randint(1, 4))
]
bumps = [
(
rng.uniform(-size_x * 0.45, size_x * 0.45),
rng.uniform(-size_y * 0.45, size_y * 0.45),
rng.uniform(0.05, 0.4),
rng.uniform(0.4, 2.0),
)
for _ in range(rng.randint(8, 20))
]
return {
"seed": int(seed),
"sizeX": size_x,
"sizeY": size_y,
"baseZ": base_z,
"amplitude": amplitude,
"frequency": frequency,
"hills": hills,
"valleys": valleys,
"bumps": bumps,
}
def sample_seafloor_grid(
params: dict[str, Any],
*,
res_x: int = 80,
res_y: int = 120,
) -> dict[str, Any]:
"""Build a triangulated seafloor mesh over [-sizeX/2, sizeX/2] × [-sizeY/2, sizeY/2]."""
res_x = max(4, int(res_x))
res_y = max(4, int(res_y))
size_x = float(params["sizeX"])
size_y = float(params["sizeY"])
half_x = size_x * 0.5
half_y = size_y * 0.5
vertices: list[list[float]] = []
heights: list[list[float]] = []
for j in range(res_y):
row: list[float] = []
y = -half_y if res_y == 1 else (-half_y + size_y * j / (res_y - 1))
for i in range(res_x):
x = -half_x if res_x == 1 else (-half_x + size_x * i / (res_x - 1))
z = _height_at(
x,
y,
base_z=float(params["baseZ"]),
amplitude=float(params["amplitude"]),
frequency=float(params["frequency"]),
hills=params["hills"],
valleys=params["valleys"],
bumps=params["bumps"],
)
vertices.append([x, y, z])
row.append(z)
heights.append(row)
faces: list[list[int]] = []
for j in range(res_y - 1):
for i in range(res_x - 1):
a = j * res_x + i
b = a + 1
c = a + res_x
d = c + 1
faces.append([a + 1, c + 1, b + 1]) # 1-based OBJ indices
faces.append([b + 1, c + 1, d + 1])
return {
"resX": res_x,
"resY": res_y,
"vertices": vertices,
"faces": faces,
"heights": heights,
"vertexCount": len(vertices),
"faceCount": len(faces),
}
def export_mesh_obj(
vertices: list[list[float]],
faces: list[list[int]],
*,
object_name: str = "seafloor",
) -> str:
safe = "".join(ch if ch.isalnum() or ch in "_-" else "_" for ch in (object_name or "seafloor")) or "seafloor"
lines = [
f"# DotsToSurface MLE seafloor ({len(vertices)} vertices, {len(faces)} faces)",
f"o {safe}",
]
for v in vertices:
lines.append(f"v {v[0]:.8f} {v[1]:.8f} {v[2]:.8f}")
for f in faces:
lines.append(f"f {f[0]} {f[1]} {f[2]}")
return "\n".join(lines) + "\n"
def write_mesh_obj_file(
path: Path,
vertices: list[list[float]],
faces: list[list[int]],
*,
object_name: str = "seafloor",
) -> Path:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(
export_mesh_obj(vertices, faces, object_name=object_name),
encoding="utf-8",
)
return path
def save_survey_surface(
*,
output_dir: str | Path,
vertices: list[list[float]],
faces: list[list[int]],
filename: str = "seafloor.obj",
) -> dict[str, Any]:
"""Overwrite the survey OBJ inside an existing MLE run folder."""
run_dir = Path(output_dir)
if not run_dir.is_absolute():
run_dir = resolve_mle_dir(run_dir)
if not run_dir.is_dir():
raise FileNotFoundError(f"MLE run folder not found: {run_dir}")
if not vertices:
raise ValueError("vertices must not be empty")
obj_path = write_mesh_obj_file(
run_dir / filename,
vertices,
faces,
object_name="seafloor",
)
return {
"outputDir": str(run_dir),
"seafloorObj": str(obj_path),
"vertexCount": len(vertices),
"faceCount": len(faces),
}
def prepare_mle_scene(
*,
seed: int = 42,
size_x: float = 40.0,
size_y: float = 60.0,
res_x: int = 80,
res_y: int = 120,
output_dir: str | Path = "mle_runs",
settings: dict[str, Any] | None = None,
) -> dict[str, Any]:
"""Generate seafloor for simulation; create run folder with empty survey OBJ."""
base = resolve_mle_dir(output_dir)
base.mkdir(parents=True, exist_ok=True)
stamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
run_dir = base / stamp
n = 2
while run_dir.exists():
run_dir = base / f"{stamp}_{n}"
n += 1
run_dir.mkdir(parents=True, exist_ok=False)
params = build_seafloor_params(seed, size_x=size_x, size_y=size_y)
mesh = sample_seafloor_grid(params, res_x=res_x, res_y=res_y)
# Survey OBJ starts empty and is filled from multibeam hits during motion.
obj_path = run_dir / "seafloor.obj"
obj_path.write_text(
"# DotsToSurface MLE survey surface (populated during AUV motion)\no seafloor\n",
encoding="utf-8",
)
# Keep full terrain for reference / debugging (not the survey panel content).
write_mesh_obj_file(
run_dir / "terrain_full.obj",
mesh["vertices"],
mesh["faces"],
object_name="terrain_full",
)
manifest = {
"generatedAt": datetime.now(timezone.utc).isoformat(),
"runName": run_dir.name,
"outputDir": str(run_dir),
"seafloorObj": str(obj_path),
"params": params,
"mesh": {
"resX": mesh["resX"],
"resY": mesh["resY"],
"vertexCount": mesh["vertexCount"],
"faceCount": mesh["faceCount"],
},
"settings": settings or {},
}
(run_dir / "mle_run.json").write_text(
json.dumps(manifest, ensure_ascii=False, indent=2),
encoding="utf-8",
)
return {
"runName": run_dir.name,
"outputDir": str(run_dir),
"seafloorObj": str(obj_path),
"params": params,
"mesh": {
"resX": mesh["resX"],
"resY": mesh["resY"],
"vertices": mesh["vertices"],
"faces": mesh["faces"],
"heights": mesh["heights"],
"vertexCount": mesh["vertexCount"],
"faceCount": mesh["faceCount"],
},
}
+78 -4
View File
@@ -649,13 +649,87 @@ def export_ply(points: list[list[float]]) -> str:
return header + body + ("\n" if points else "")
def export_obj(points: list[list[float]], object_name: str = "cloud") -> str:
def export_obj(
points: list[list[float]],
object_name: str = "cloud",
classes: list[int | float] | None = None,
) -> str:
safe_name = "".join(ch if ch.isalnum() or ch in "_-" else "_" for ch in (object_name or "cloud")) or "cloud"
lines = [f"# DotsToSurface point cloud ({len(points)} vertices)", f"o {safe_name}"]
for p in points:
lines.append(f"v {p[0]:.8f} {p[1]:.8f} {p[2]:.8f}")
if classes is None:
lines = [f"# DotsToSurface point cloud ({len(points)} vertices)", f"o {safe_name}"]
for p in points:
lines.append(f"v {p[0]:.8f} {p[1]:.8f} {p[2]:.8f}")
return "\n".join(lines) + "\n"
if len(classes) != len(points):
raise ValueError("classes length must match points length")
class_names = {0: "background", 1: "object"}
grouped: dict[int, list[list[float]]] = {}
for point, cls in zip(points, classes):
grouped.setdefault(int(cls), []).append(point)
lines = [
f"# DotsToSurface labeled point cloud ({len(points)} vertices)",
"# Classes: background=0, object=1",
f"o {safe_name}",
]
for cls_id in sorted(grouped.keys()):
group_name = class_names.get(cls_id, f"class_{cls_id}")
lines.append(f"o {group_name}")
lines.append(f"# class {cls_id}")
for p in grouped[cls_id]:
lines.append(f"v {p[0]:.8f} {p[1]:.8f} {p[2]:.8f}")
return "\n".join(lines) + "\n"
def _class_from_obj_group(name: str) -> float | None:
key = (name or "").strip().lower()
if key == "background":
return 0.0
if key == "object":
return 1.0
if key.startswith("class_"):
try:
return float(key.split("_", 1)[1])
except (IndexError, ValueError):
return None
return None
def parse_obj_labeled_points(text: str) -> list[list[float]]:
"""Extract [x, y, z, class] from OBJ with class groups or ``# class N`` markers."""
labeled: list[list[float]] = []
current_class = 0.0
for raw in text.splitlines():
line = raw.strip()
if not line:
continue
lower = line.lower()
if lower.startswith("# class "):
try:
current_class = float(line.split()[-1])
except ValueError:
pass
continue
if lower.startswith("o "):
cls = _class_from_obj_group(line[2:])
if cls is not None:
current_class = cls
continue
if lower.startswith("v "):
parts = line.split()
if len(parts) < 4:
continue
try:
labeled.append(
[float(parts[1]), float(parts[2]), float(parts[3]), current_class]
)
except ValueError:
continue
return labeled
def parse_obj_points(text: str) -> list[list[float]]:
"""Extract vertex positions from Wavefront OBJ (ignores faces/materials)."""
points: list[list[float]] = []
+3
View File
@@ -11,6 +11,9 @@ services:
USER_PRESETS_DIR: /app/data/user-presets
volumes:
- ../presets:/app/presets:ro
- ../sonar_dataset:/app/sonar_dataset
- ../mle_runs:/app/mle_runs
- ../gbo_runs:/app/gbo_runs
- dottosurface-user-presets:/app/data/user-presets
volumes:
+14
View File
@@ -47,6 +47,20 @@ onMounted(async () => {
>
Генератор Датасета
</RouterLink>
<RouterLink
class="nav-tab"
:class="{ active: route.path.startsWith('/mle') }"
to="/mle"
>
Имитатор МЛЭ
</RouterLink>
<RouterLink
class="nav-tab"
:class="{ active: route.path.startsWith('/gbo') }"
to="/gbo"
>
Имитатор ГБО
</RouterLink>
</nav>
</div>
<div class="header-actions">
+64
View File
@@ -387,6 +387,70 @@ export const api = {
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ stem, outputDir, maxPoints }),
}),
datasetRuns: (outputDir = "sonar_dataset") =>
request(`/api/dataset/runs?outputDir=${encodeURIComponent(outputDir || "sonar_dataset")}`),
datasetLoad: ({ outputDir } = {}) =>
request("/api/dataset/load", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ outputDir }),
}),
mlePrepare: ({
seed = 42,
sizeX = 40,
sizeY = 60,
resX = 80,
resY = 120,
outputDir = "mle_runs",
settings = null,
} = {}) =>
request("/api/mle/prepare", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ seed, sizeX, sizeY, resX, resY, outputDir, settings }),
}),
mleSaveSurface: ({ outputDir, vertices, faces, filename = "seafloor.obj" } = {}) =>
request("/api/mle/save-surface", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ outputDir, vertices, faces, filename }),
}),
mleLoadSettings: ({ outputDir = "mle_runs" } = {}) =>
request(`/api/mle/settings?outputDir=${encodeURIComponent(outputDir || "mle_runs")}`),
mleSaveSettings: ({ outputDir = "mle_runs", settings = {} } = {}) =>
request("/api/mle/settings", {
method: "PUT",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ outputDir, settings }),
}),
gboPrepare: ({
seed = 42,
sizeX = 40,
sizeY = 60,
resX = 80,
resY = 120,
outputDir = "gbo_runs",
settings = null,
} = {}) =>
request("/api/gbo/prepare", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ seed, sizeX, sizeY, resX, resY, outputDir, settings }),
}),
gboSaveSurface: ({ outputDir, vertices, faces, filename = "seafloor.obj" } = {}) =>
request("/api/gbo/save-surface", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ outputDir, vertices, faces, filename }),
}),
gboLoadSettings: ({ outputDir = "gbo_runs" } = {}) =>
request(`/api/gbo/settings?outputDir=${encodeURIComponent(outputDir || "gbo_runs")}`),
gboSaveSettings: ({ outputDir = "gbo_runs", settings = {} } = {}) =>
request("/api/gbo/settings", {
method: "PUT",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ outputDir, settings }),
}),
};
export { exportFilename, parseObjPoints, parseXyzPoints, parsePlyPoints, parseCloudPoints };
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
+4
View File
@@ -2,6 +2,8 @@ import { createRouter, createWebHistory } from "vue-router";
import PipelineView from "@/views/PipelineView.vue";
import GeneratorView from "@/views/GeneratorView.vue";
import DatasetView from "@/views/DatasetView.vue";
import MleView from "@/views/MleView.vue";
import GboView from "@/views/GboView.vue";
export default createRouter({
history: createWebHistory(),
@@ -9,5 +11,7 @@ export default createRouter({
{ path: "/", name: "pipeline", component: PipelineView },
{ path: "/generator", name: "generator", component: GeneratorView },
{ path: "/dataset", name: "dataset", component: DatasetView },
{ path: "/mle", name: "mle", component: MleView },
{ path: "/gbo", name: "gbo", component: GboView },
],
});
+124 -1
View File
@@ -17,6 +17,9 @@ export const useDatasetStore = defineStore("dataset", {
beamCount: 45,
lengthCount: 45,
generateProgress: 0,
browseBusy: false,
availableRuns: [],
selectedRunPath: "",
lastResult: null,
selectedStem: null,
previewPoints: [],
@@ -43,7 +46,7 @@ export const useDatasetStore = defineStore("dataset", {
return (state.lastResult?.written || []).find((item) => item.stem === stem) || null;
},
canGenerate(state) {
return !!state.modelFile && !state.busy;
return !state.busy;
},
classOptions(state) {
const labels = state.classLabels || { 0: "background", 1: "object" };
@@ -75,6 +78,42 @@ export const useDatasetStore = defineStore("dataset", {
}
this.highlightClass = Number(value);
},
logSettingsFromRun(run) {
const settings = run?.settings || {};
const objectName = settings.objectName ?? run?.objectName;
const count = settings.count ?? run?.count;
const seed = settings.seed ?? run?.seed;
const outputDir = settings.outputDir;
const objectScale = settings.objectScale ?? run?.objectScale;
const objectScaleIsMax = settings.objectScaleIsMax ?? run?.objectScaleIsMax;
const beamCount = settings.beamCount ?? run?.beamCount;
const lengthCount = settings.lengthCount ?? run?.lengthCount;
const parts = [];
if (objectName) parts.push(`model=${objectName}`);
if (count != null) parts.push(`count=${count}`);
if (seed != null) parts.push(`seed=${seed}`);
if (beamCount != null) parts.push(`beams=${beamCount}`);
if (lengthCount != null) parts.push(`length=${lengthCount}`);
if (objectScale != null) {
parts.push(
objectScaleIsMax
? `scale=1…${objectScale} (макс.)`
: `scale=${objectScale}`,
);
}
if (outputDir) parts.push(`dir=${outputDir}`);
if (run?.objectVertexCount != null) {
parts.push(`vertices=${run.objectVertexCount}`);
}
if (run?.generatedAt) parts.push(`at=${run.generatedAt}`);
if (parts.length) {
this.pushLog(`Параметры датасета: ${parts.join(", ")}`);
} else {
this.pushLog("Параметры датасета в dataset_run.json не найдены");
}
},
applyPreviewPayload(result, writtenMeta = null) {
this.previewStem = result.stem;
this.previewPoints = result.points || [];
@@ -174,6 +213,9 @@ export const useDatasetStore = defineStore("dataset", {
this.pushLog(
`Записано ${result.count} сцен в ${result.runName || result.outputDir}. С объектом: ${s.withObject}, без: ${s.withoutObject}.`,
);
if (result.settingsPath) {
this.pushLog(`Настройки: ${result.settingsPath}`);
}
this.pushLog(
`Видимость: nearly_hidden=${s.nearly_hidden || 0}, partial=${s.partial || 0}, visible=${s.visible || 0}, absent=${s.absent || 0}.`,
);
@@ -207,6 +249,19 @@ export const useDatasetStore = defineStore("dataset", {
this.previewMeta = null;
this.classCounts = {};
}
try {
await this.refreshAvailableRuns();
const match = this.availableRuns.find(
(run) =>
run.outputDir === this.resolvedOutputDir ||
run.runName === result.runName,
);
if (match) {
this.selectedRunPath = match.loadPath || match.outputDir;
}
} catch {
/* non-fatal */
}
} catch (error) {
this.statusText = `Ошибка: ${error.message}`;
this.pushLog(`Ошибка: ${error.message}`);
@@ -242,5 +297,73 @@ export const useDatasetStore = defineStore("dataset", {
this.previewBusy = false;
}
},
async refreshAvailableRuns() {
try {
const payload = await api.datasetRuns(this.outputDir || "sonar_dataset");
this.availableRuns = payload.runs || [];
return this.availableRuns;
} catch (error) {
this.pushLog(`Ошибка списка датасетов: ${error.message}`);
throw error;
}
},
async loadDatasetRun(loadPath) {
if (!loadPath || this.browseBusy) return;
this.browseBusy = true;
this.selectedRunPath = loadPath;
this.statusText = `Загрузка датасета: ${loadPath}`;
this.pushLog(`Просмотр датасета: ${loadPath}`);
try {
const run = await api.datasetLoad({ outputDir: loadPath });
this.resolvedOutputDir = run.outputDir || loadPath;
this.lastResult = {
outputDir: run.outputDir,
runName: run.runName,
count: run.count,
seed: run.seed,
beamCount: run.beamCount,
lengthCount: run.lengthCount,
objectScale: run.objectScale,
objectScaleIsMax: run.objectScaleIsMax,
objectName: run.objectName,
stats: run.stats,
written: run.written || [],
classLabels: run.classLabels,
};
if (run.hasSettings) {
this.logSettingsFromRun(run);
} else {
this.pushLog("dataset_run.json не найден — параметры генерации недоступны");
}
const s = run.stats || {};
this.statusText = `Датасет: ${run.runName || loadPath} (${(run.written || []).length} сцен)`;
this.pushLog(
`Сцен: ${(run.written || []).length}, с объектом: ${s.withObject ?? "?"}, без: ${s.withoutObject ?? "?"}`,
);
const initialStem =
run.written?.find((item) => item.hasObject)?.stem ||
run.written?.[0]?.stem ||
null;
if (initialStem) {
await this.selectScene(initialStem);
} else {
this.selectedStem = null;
this.previewStem = null;
this.previewPoints = [];
this.previewMeta = null;
this.classCounts = {};
}
return run;
} catch (error) {
this.statusText = `Ошибка загрузки датасета: ${error.message}`;
this.pushLog(`Ошибка загрузки датасета: ${error.message}`);
throw error;
} finally {
this.browseBusy = false;
}
},
},
});
+333
View File
@@ -0,0 +1,333 @@
import { defineStore } from "pinia";
import { api } from "@/api/client";
const STORAGE_KEY = "dottosurface.gbo.settings.v1";
const DEFAULTS = {
auvX: 0,
auvY: -20,
auvDepth: 2.5,
auvHeadingDeg: 0,
auvSizeM: 10,
objectX: 12,
objectY: -20,
objectZ: 0,
objectSizeM: 2,
objectRotXDeg: 0,
objectRotYDeg: 0,
objectRotZDeg: 0,
beamCount: 4,
swathAngleDeg: 150,
detectionRangeM: 400,
speed: 1.5,
surveyLength: 40,
seed: 42,
sizeX: 40,
sizeY: 60,
outputDir: "gbo_runs",
auvFileName: "",
objectFileName: "",
};
function coerceSettings(data) {
if (!data || typeof data !== "object") return {};
const out = {};
// Migrate legacy single-axis yaw
if (data.objectRotZDeg == null && data.objectYawDeg != null) {
data = { ...data, objectRotZDeg: data.objectYawDeg };
}
if (data.object?.yawDeg != null && data.objectRotZDeg == null) {
data = { ...data, objectRotZDeg: data.object.yawDeg };
}
// Flatten nested snapshot shape if loaded from server run settings
if (data.auv && typeof data.auv === "object") {
data = {
...data,
auvX: data.auv.x ?? data.auvX,
auvY: data.auv.y ?? data.auvY,
auvDepth: data.auv.depth ?? data.auvDepth,
auvHeadingDeg: data.auv.headingDeg ?? data.auvHeadingDeg,
auvSizeM: data.auv.sizeM ?? data.auvSizeM,
};
}
if (data.object && typeof data.object === "object") {
data = {
...data,
objectX: data.object.x ?? data.objectX,
objectY: data.object.y ?? data.objectY,
objectZ: data.object.z ?? data.objectZ,
objectSizeM: data.object.sizeM ?? data.objectSizeM,
objectRotXDeg: data.object.rotXDeg ?? data.objectRotXDeg,
objectRotYDeg: data.object.rotYDeg ?? data.objectRotYDeg,
objectRotZDeg: data.object.rotZDeg ?? data.object.yawDeg ?? data.objectRotZDeg,
};
}
if (data.beams && typeof data.beams === "object") {
data = {
...data,
beamCount: data.beams.count ?? data.beamCount,
swathAngleDeg: data.beams.swathAngleDeg ?? data.swathAngleDeg,
detectionRangeM: data.beams.detectionRangeM ?? data.detectionRangeM,
};
}
if (data.motion && typeof data.motion === "object") {
data = {
...data,
speed: data.motion.speed ?? data.speed,
surveyLength: data.motion.surveyLength ?? data.surveyLength,
};
}
if (data.seafloor && typeof data.seafloor === "object") {
data = {
...data,
seed: data.seafloor.seed ?? data.seed,
sizeX: data.seafloor.sizeX ?? data.sizeX,
sizeY: data.seafloor.sizeY ?? data.sizeY,
};
}
for (const key of Object.keys(DEFAULTS)) {
if (data[key] == null) continue;
if (typeof DEFAULTS[key] === "number") {
const n = Number(data[key]);
if (Number.isFinite(n)) out[key] = n;
} else {
out[key] = String(data[key]);
}
}
return out;
}
function loadPersisted() {
try {
const raw = localStorage.getItem(STORAGE_KEY);
if (!raw) return {};
return coerceSettings(JSON.parse(raw));
} catch {
return {};
}
}
export const useGboStore = defineStore("gbo", {
state: () => {
const saved = loadPersisted();
return {
busy: false,
running: false,
statusText: "Загрузите модели АНПА и объекта, задайте параметры и нажмите «Подготовить».",
logLines: [],
auvFile: null,
auvFileName: saved.auvFileName || "",
objectFile: null,
objectFileName: saved.objectFileName || "",
auvX: saved.auvX ?? DEFAULTS.auvX,
auvY: saved.auvY ?? DEFAULTS.auvY,
auvDepth: saved.auvDepth ?? DEFAULTS.auvDepth,
auvHeadingDeg: saved.auvHeadingDeg ?? DEFAULTS.auvHeadingDeg,
auvSizeM: saved.auvSizeM ?? DEFAULTS.auvSizeM,
objectX: saved.objectX ?? DEFAULTS.objectX,
objectY: saved.objectY ?? DEFAULTS.objectY,
objectZ: saved.objectZ ?? DEFAULTS.objectZ,
objectSizeM: saved.objectSizeM ?? DEFAULTS.objectSizeM,
objectRotXDeg: saved.objectRotXDeg ?? DEFAULTS.objectRotXDeg,
objectRotYDeg: saved.objectRotYDeg ?? DEFAULTS.objectRotYDeg,
objectRotZDeg: saved.objectRotZDeg ?? DEFAULTS.objectRotZDeg,
beamCount: saved.beamCount ?? DEFAULTS.beamCount,
swathAngleDeg: saved.swathAngleDeg ?? DEFAULTS.swathAngleDeg,
detectionRangeM: saved.detectionRangeM ?? DEFAULTS.detectionRangeM,
speed: saved.speed ?? DEFAULTS.speed,
surveyLength: saved.surveyLength ?? DEFAULTS.surveyLength,
seed: saved.seed ?? DEFAULTS.seed,
sizeX: saved.sizeX ?? DEFAULTS.sizeX,
sizeY: saved.sizeY ?? DEFAULTS.sizeY,
outputDir: saved.outputDir ?? DEFAULTS.outputDir,
scene: null,
runName: null,
seafloorObjPath: null,
_persistTimer: null,
};
},
getters: {
canPrepare(state) {
return !state.busy && !state.running;
},
canStart(state) {
return !!state.scene && !state.busy;
},
},
actions: {
applySettingsPatch(patch) {
const data = coerceSettings(patch);
for (const [key, value] of Object.entries(data)) {
if (key in DEFAULTS) this[key] = value;
}
},
settingsFlat() {
const payload = {};
for (const key of Object.keys(DEFAULTS)) {
payload[key] = this[key];
}
return payload;
},
persistSettings({ syncServer = true } = {}) {
const payload = this.settingsFlat();
try {
localStorage.setItem(STORAGE_KEY, JSON.stringify(payload));
} catch {
/* ignore */
}
if (!syncServer) return;
if (this._persistTimer) clearTimeout(this._persistTimer);
this._persistTimer = setTimeout(() => {
this._persistTimer = null;
void api
.gboSaveSettings({
outputDir: String(this.outputDir || "gbo_runs"),
settings: payload,
})
.catch(() => {});
}, 400);
},
async hydrateFromServer() {
try {
const result = await api.gboLoadSettings({
outputDir: String(this.outputDir || "gbo_runs"),
});
if (result?.settings) {
const localRaw = localStorage.getItem(STORAGE_KEY);
// Prefer server if local empty; otherwise keep local (fresher for same browser)
if (!localRaw) {
this.applySettingsPatch(result.settings);
this.persistSettings({ syncServer: false });
this.pushLog("Пресет настроек загружен с сервера.");
}
}
} catch {
/* offline / first run */
}
},
pushLog(line) {
this.logLines.push(String(line));
if (this.logLines.length > 300) {
this.logLines = this.logLines.slice(-300);
}
},
setAuvFile(file) {
if (!file) {
this.auvFile = null;
this.auvFileName = "";
this.persistSettings();
return;
}
const name = String(file.name || "");
if (!name.toLowerCase().endsWith(".obj")) {
this.statusText = "Модель АНПА: нужен файл .obj";
return;
}
this.auvFile = file;
this.auvFileName = name;
this.pushLog(`АНПА: ${name}`);
this.persistSettings();
},
setObjectFile(file) {
if (!file) {
this.objectFile = null;
this.objectFileName = "";
this.persistSettings();
return;
}
const name = String(file.name || "");
if (!name.toLowerCase().endsWith(".obj")) {
this.statusText = "Объект: нужен файл .obj";
return;
}
this.objectFile = file;
this.objectFileName = name;
this.pushLog(`Объект: ${name}`);
this.persistSettings();
},
placeObjectAlongTrack() {
const heading = ((Number(this.auvHeadingDeg) || 0) * Math.PI) / 180;
const ahead = Math.min(18, Math.max(6, Number(this.surveyLength) * 0.4 || 12));
this.objectX = Number(this.auvX) + Math.cos(heading) * ahead;
this.objectY = Number(this.auvY) + Math.sin(heading) * ahead;
this.objectZ = 0;
this.objectRotZDeg = Number(this.auvHeadingDeg) || 0;
},
settingsSnapshot() {
return {
...this.settingsFlat(),
auv: {
x: this.auvX,
y: this.auvY,
depth: this.auvDepth,
headingDeg: this.auvHeadingDeg,
sizeM: this.auvSizeM,
},
object: {
x: this.objectX,
y: this.objectY,
z: this.objectZ,
sizeM: this.objectSizeM,
rotXDeg: this.objectRotXDeg,
rotYDeg: this.objectRotYDeg,
rotZDeg: this.objectRotZDeg,
},
beams: {
count: this.beamCount,
swathAngleDeg: this.swathAngleDeg,
detectionRangeM: this.detectionRangeM,
},
motion: {
speed: this.speed,
surveyLength: this.surveyLength,
},
seafloor: {
seed: this.seed,
sizeX: this.sizeX,
sizeY: this.sizeY,
},
};
},
async prepare() {
if (this.busy || this.running) return;
this.placeObjectAlongTrack();
this.persistSettings();
this.busy = true;
this.statusText = "Генерация рельефа дна…";
this.pushLog(
`Подготовка: seed=${this.seed}, size=${this.sizeX}×${this.sizeY}, beams=${this.beamCount}`,
);
try {
const result = await api.gboPrepare({
seed: Number(this.seed) || 42,
sizeX: Number(this.sizeX) || 40,
sizeY: Number(this.sizeY) || 60,
resX: 80,
resY: 120,
outputDir: String(this.outputDir || "gbo_runs"),
settings: this.settingsSnapshot(),
});
this.scene = result;
this.runName = result.runName;
this.seafloorObjPath = result.seafloorObj;
this.statusText = `Рельеф сохранён: ${result.seafloorObj}`;
this.pushLog(
`Рельеф дна: ${result.mesh?.vertexCount || "?"} вершин → ${result.seafloorObj}`,
);
return result;
} catch (error) {
this.statusText = `Ошибка: ${error.message}`;
this.pushLog(`Ошибка: ${error.message}`);
throw error;
} finally {
this.busy = false;
}
},
},
});
+333
View File
@@ -0,0 +1,333 @@
import { defineStore } from "pinia";
import { api } from "@/api/client";
const STORAGE_KEY = "dottosurface.mle.settings.v1";
const DEFAULTS = {
auvX: 0,
auvY: -20,
auvDepth: 2.5,
auvHeadingDeg: 0,
auvSizeM: 10,
objectX: 12,
objectY: -20,
objectZ: 0,
objectSizeM: 2,
objectRotXDeg: 0,
objectRotYDeg: 0,
objectRotZDeg: 0,
beamCount: 45,
swathAngleDeg: 90,
detectionRangeM: 400,
speed: 1.5,
surveyLength: 40,
seed: 42,
sizeX: 40,
sizeY: 60,
outputDir: "mle_runs",
auvFileName: "",
objectFileName: "",
};
function coerceSettings(data) {
if (!data || typeof data !== "object") return {};
const out = {};
// Migrate legacy single-axis yaw
if (data.objectRotZDeg == null && data.objectYawDeg != null) {
data = { ...data, objectRotZDeg: data.objectYawDeg };
}
if (data.object?.yawDeg != null && data.objectRotZDeg == null) {
data = { ...data, objectRotZDeg: data.object.yawDeg };
}
// Flatten nested snapshot shape if loaded from server run settings
if (data.auv && typeof data.auv === "object") {
data = {
...data,
auvX: data.auv.x ?? data.auvX,
auvY: data.auv.y ?? data.auvY,
auvDepth: data.auv.depth ?? data.auvDepth,
auvHeadingDeg: data.auv.headingDeg ?? data.auvHeadingDeg,
auvSizeM: data.auv.sizeM ?? data.auvSizeM,
};
}
if (data.object && typeof data.object === "object") {
data = {
...data,
objectX: data.object.x ?? data.objectX,
objectY: data.object.y ?? data.objectY,
objectZ: data.object.z ?? data.objectZ,
objectSizeM: data.object.sizeM ?? data.objectSizeM,
objectRotXDeg: data.object.rotXDeg ?? data.objectRotXDeg,
objectRotYDeg: data.object.rotYDeg ?? data.objectRotYDeg,
objectRotZDeg: data.object.rotZDeg ?? data.object.yawDeg ?? data.objectRotZDeg,
};
}
if (data.beams && typeof data.beams === "object") {
data = {
...data,
beamCount: data.beams.count ?? data.beamCount,
swathAngleDeg: data.beams.swathAngleDeg ?? data.swathAngleDeg,
detectionRangeM: data.beams.detectionRangeM ?? data.detectionRangeM,
};
}
if (data.motion && typeof data.motion === "object") {
data = {
...data,
speed: data.motion.speed ?? data.speed,
surveyLength: data.motion.surveyLength ?? data.surveyLength,
};
}
if (data.seafloor && typeof data.seafloor === "object") {
data = {
...data,
seed: data.seafloor.seed ?? data.seed,
sizeX: data.seafloor.sizeX ?? data.sizeX,
sizeY: data.seafloor.sizeY ?? data.sizeY,
};
}
for (const key of Object.keys(DEFAULTS)) {
if (data[key] == null) continue;
if (typeof DEFAULTS[key] === "number") {
const n = Number(data[key]);
if (Number.isFinite(n)) out[key] = n;
} else {
out[key] = String(data[key]);
}
}
return out;
}
function loadPersisted() {
try {
const raw = localStorage.getItem(STORAGE_KEY);
if (!raw) return {};
return coerceSettings(JSON.parse(raw));
} catch {
return {};
}
}
export const useMleStore = defineStore("mle", {
state: () => {
const saved = loadPersisted();
return {
busy: false,
running: false,
statusText: "Загрузите модели АНПА и объекта, задайте параметры и нажмите «Подготовить».",
logLines: [],
auvFile: null,
auvFileName: saved.auvFileName || "",
objectFile: null,
objectFileName: saved.objectFileName || "",
auvX: saved.auvX ?? DEFAULTS.auvX,
auvY: saved.auvY ?? DEFAULTS.auvY,
auvDepth: saved.auvDepth ?? DEFAULTS.auvDepth,
auvHeadingDeg: saved.auvHeadingDeg ?? DEFAULTS.auvHeadingDeg,
auvSizeM: saved.auvSizeM ?? DEFAULTS.auvSizeM,
objectX: saved.objectX ?? DEFAULTS.objectX,
objectY: saved.objectY ?? DEFAULTS.objectY,
objectZ: saved.objectZ ?? DEFAULTS.objectZ,
objectSizeM: saved.objectSizeM ?? DEFAULTS.objectSizeM,
objectRotXDeg: saved.objectRotXDeg ?? DEFAULTS.objectRotXDeg,
objectRotYDeg: saved.objectRotYDeg ?? DEFAULTS.objectRotYDeg,
objectRotZDeg: saved.objectRotZDeg ?? DEFAULTS.objectRotZDeg,
beamCount: saved.beamCount ?? DEFAULTS.beamCount,
swathAngleDeg: saved.swathAngleDeg ?? DEFAULTS.swathAngleDeg,
detectionRangeM: saved.detectionRangeM ?? DEFAULTS.detectionRangeM,
speed: saved.speed ?? DEFAULTS.speed,
surveyLength: saved.surveyLength ?? DEFAULTS.surveyLength,
seed: saved.seed ?? DEFAULTS.seed,
sizeX: saved.sizeX ?? DEFAULTS.sizeX,
sizeY: saved.sizeY ?? DEFAULTS.sizeY,
outputDir: saved.outputDir ?? DEFAULTS.outputDir,
scene: null,
runName: null,
seafloorObjPath: null,
_persistTimer: null,
};
},
getters: {
canPrepare(state) {
return !state.busy && !state.running;
},
canStart(state) {
return !!state.scene && !state.busy;
},
},
actions: {
applySettingsPatch(patch) {
const data = coerceSettings(patch);
for (const [key, value] of Object.entries(data)) {
if (key in DEFAULTS) this[key] = value;
}
},
settingsFlat() {
const payload = {};
for (const key of Object.keys(DEFAULTS)) {
payload[key] = this[key];
}
return payload;
},
persistSettings({ syncServer = true } = {}) {
const payload = this.settingsFlat();
try {
localStorage.setItem(STORAGE_KEY, JSON.stringify(payload));
} catch {
/* ignore */
}
if (!syncServer) return;
if (this._persistTimer) clearTimeout(this._persistTimer);
this._persistTimer = setTimeout(() => {
this._persistTimer = null;
void api
.mleSaveSettings({
outputDir: String(this.outputDir || "mle_runs"),
settings: payload,
})
.catch(() => {});
}, 400);
},
async hydrateFromServer() {
try {
const result = await api.mleLoadSettings({
outputDir: String(this.outputDir || "mle_runs"),
});
if (result?.settings) {
const localRaw = localStorage.getItem(STORAGE_KEY);
// Prefer server if local empty; otherwise keep local (fresher for same browser)
if (!localRaw) {
this.applySettingsPatch(result.settings);
this.persistSettings({ syncServer: false });
this.pushLog("Пресет настроек загружен с сервера.");
}
}
} catch {
/* offline / first run */
}
},
pushLog(line) {
this.logLines.push(String(line));
if (this.logLines.length > 300) {
this.logLines = this.logLines.slice(-300);
}
},
setAuvFile(file) {
if (!file) {
this.auvFile = null;
this.auvFileName = "";
this.persistSettings();
return;
}
const name = String(file.name || "");
if (!name.toLowerCase().endsWith(".obj")) {
this.statusText = "Модель АНПА: нужен файл .obj";
return;
}
this.auvFile = file;
this.auvFileName = name;
this.pushLog(`АНПА: ${name}`);
this.persistSettings();
},
setObjectFile(file) {
if (!file) {
this.objectFile = null;
this.objectFileName = "";
this.persistSettings();
return;
}
const name = String(file.name || "");
if (!name.toLowerCase().endsWith(".obj")) {
this.statusText = "Объект: нужен файл .obj";
return;
}
this.objectFile = file;
this.objectFileName = name;
this.pushLog(`Объект: ${name}`);
this.persistSettings();
},
placeObjectAlongTrack() {
const heading = ((Number(this.auvHeadingDeg) || 0) * Math.PI) / 180;
const ahead = Math.min(18, Math.max(6, Number(this.surveyLength) * 0.4 || 12));
this.objectX = Number(this.auvX) + Math.cos(heading) * ahead;
this.objectY = Number(this.auvY) + Math.sin(heading) * ahead;
this.objectZ = 0;
this.objectRotZDeg = Number(this.auvHeadingDeg) || 0;
},
settingsSnapshot() {
return {
...this.settingsFlat(),
auv: {
x: this.auvX,
y: this.auvY,
depth: this.auvDepth,
headingDeg: this.auvHeadingDeg,
sizeM: this.auvSizeM,
},
object: {
x: this.objectX,
y: this.objectY,
z: this.objectZ,
sizeM: this.objectSizeM,
rotXDeg: this.objectRotXDeg,
rotYDeg: this.objectRotYDeg,
rotZDeg: this.objectRotZDeg,
},
beams: {
count: this.beamCount,
swathAngleDeg: this.swathAngleDeg,
detectionRangeM: this.detectionRangeM,
},
motion: {
speed: this.speed,
surveyLength: this.surveyLength,
},
seafloor: {
seed: this.seed,
sizeX: this.sizeX,
sizeY: this.sizeY,
},
};
},
async prepare() {
if (this.busy || this.running) return;
this.placeObjectAlongTrack();
this.persistSettings();
this.busy = true;
this.statusText = "Генерация рельефа дна…";
this.pushLog(
`Подготовка: seed=${this.seed}, size=${this.sizeX}×${this.sizeY}, beams=${this.beamCount}`,
);
try {
const result = await api.mlePrepare({
seed: Number(this.seed) || 42,
sizeX: Number(this.sizeX) || 40,
sizeY: Number(this.sizeY) || 60,
resX: 80,
resY: 120,
outputDir: String(this.outputDir || "mle_runs"),
settings: this.settingsSnapshot(),
});
this.scene = result;
this.runName = result.runName;
this.seafloorObjPath = result.seafloorObj;
this.statusText = `Рельеф сохранён: ${result.seafloorObj}`;
this.pushLog(
`Рельеф дна: ${result.mesh?.vertexCount || "?"} вершин → ${result.seafloorObj}`,
);
return result;
} catch (error) {
this.statusText = `Ошибка: ${error.message}`;
this.pushLog(`Ошибка: ${error.message}`);
throw error;
} finally {
this.busy = false;
}
},
},
});
+29
View File
@@ -0,0 +1,29 @@
/** Browser PNG snapshot helpers (Pipeline-style download). */
export function formatSnapshotStamp(date = new Date()) {
const p = (n) => String(n).padStart(2, "0");
return `${date.getFullYear()}${p(date.getMonth() + 1)}${p(date.getDate())}_${p(date.getHours())}${p(date.getMinutes())}${p(date.getSeconds())}`;
}
export function buildSnapshotFilename(windowName) {
const safe =
String(windowName || "view")
.trim()
.replace(/\s+/g, "-")
.replace(/[^\w.\-]+/g, "_")
.replace(/_+/g, "_")
.replace(/^_|_$/g, "")
.toLowerCase() || "view";
return `dottosurface-${safe}-${formatSnapshotStamp()}.png`;
}
export function downloadPngDataUrl(dataUrl, filename) {
const link = document.createElement("a");
link.href = dataUrl;
link.download = filename;
link.rel = "noopener";
link.style.display = "none";
document.body.appendChild(link);
link.click();
link.remove();
}
+109 -3
View File
@@ -57,10 +57,15 @@ watch(
},
);
onMounted(() => {
onMounted(async () => {
if (store.previewPoints?.length) {
refreshViewer({ fit: true });
}
try {
await store.refreshAvailableRuns();
} catch {
/* logged in store */
}
});
async function onGenerate() {
@@ -92,11 +97,80 @@ function onModelFileChange(event) {
function onHighlightClassChange(event) {
store.setHighlightClass(event.target?.value);
}
async function onRefreshRuns() {
try {
await store.refreshAvailableRuns();
store.statusText = `Найдено запусков: ${store.availableRuns.length}`;
} catch {
/* status already set */
}
}
async function onSelectRun(event) {
const loadPath = event.target?.value;
if (!loadPath) return;
try {
await store.loadDatasetRun(loadPath);
} catch {
/* status already set */
}
}
function runOptionLabel(run) {
const parts = [run.runName, `${run.sceneCount} сцен`];
if (run.objectName) parts.push(run.objectName);
if (run.hasSettings) parts.push("json");
return parts.join(" · ");
}
</script>
<template>
<main class="layout dataset-layout">
<aside class="sidebar dataset-sidebar">
<section class="panel browse-panel">
<h2>Просмотр датасета</h2>
<p class="hint">
Выберите папку с ранее сгенерированными <code>.obj</code> / <code>.npy</code>.
Параметры из <code>dataset_run.json</code> выводятся в лог.
</p>
<label class="field">
<span>Папка датасета</span>
<div class="run-picker-row">
<select
:value="store.selectedRunPath || ''"
:disabled="store.browseBusy || store.busy"
@change="onSelectRun"
>
<option value=""> выберите папку </option>
<option
v-for="run in store.availableRuns"
:key="run.loadPath || run.outputDir"
:value="run.loadPath || run.outputDir"
>
{{ runOptionLabel(run) }}
</option>
</select>
<button
type="button"
class="secondary refresh-btn"
:disabled="store.browseBusy || store.busy"
title="Обновить список папок"
@click="onRefreshRuns"
>
</button>
</div>
<span class="ref-caption">
Каталог: <code>{{ store.outputDir || "sonar_dataset" }}</code>
<template v-if="store.resolvedOutputDir && store.selectedRunPath">
· открыто: <code>{{ store.resolvedOutputDir }}</code>
</template>
</span>
</label>
</section>
<section class="panel">
<h2>Генератор датасета</h2>
<p class="hint">
@@ -225,7 +299,7 @@ function onHighlightClassChange(event) {
<span>Выбор сцены</span>
<select
:value="store.selectedStem || ''"
:disabled="store.previewBusy || store.busy"
:disabled="store.previewBusy || store.busy || store.browseBusy"
@change="onSelectChange"
>
<option
@@ -271,7 +345,7 @@ function onHighlightClassChange(event) {
<button
type="button"
class="scene-btn"
:disabled="store.previewBusy || store.busy"
:disabled="store.previewBusy || store.busy || store.browseBusy"
@click="onSelectScene(item.stem)"
>
<code>{{ item.stem }}</code>
@@ -335,6 +409,38 @@ function onHighlightClassChange(event) {
margin: 0;
font-size: 16px;
}
.browse-panel {
margin-bottom: 4px;
padding-bottom: 12px;
border-bottom: 1px solid var(--header-border);
}
.run-picker-row {
display: flex;
gap: 6px;
align-items: stretch;
}
.run-picker-row select {
flex: 1 1 auto;
min-width: 0;
}
.refresh-btn {
flex: 0 0 auto;
padding: 6px 10px;
border-radius: 6px;
border: 1px solid var(--header-border);
background: var(--button-bg);
color: var(--control-text);
cursor: pointer;
font-size: 16px;
line-height: 1;
}
.refresh-btn:disabled {
opacity: 0.6;
cursor: wait;
}
.secondary:hover:not(:disabled) {
background: var(--chain-enabled-bg);
}
.hint {
margin: 0;
font-size: 12px;
+681
View File
@@ -0,0 +1,681 @@
<script setup>
import { onMounted, ref, watch } from "vue";
import { useGboStore } from "@/stores/gbo";
import { useGboSimulator } from "@/composables/useGboSimulator";
const store = useGboStore();
const viewerRef = ref(null);
const surveyRef = ref(null);
const sim = useGboSimulator(viewerRef, surveyRef);
const liveStatus = ref("");
function applyLiveParams(fit = true) {
if (!store.scene || store.running) return;
sim.updateParams({
beamCount: store.beamCount,
swathAngleDeg: store.swathAngleDeg,
detectionRangeM: store.detectionRangeM,
speed: store.speed,
surveyLength: store.surveyLength,
auvDepth: store.auvDepth,
auvX: store.auvX,
auvY: store.auvY,
auvHeadingDeg: store.auvHeadingDeg,
objectX: store.objectX,
objectY: store.objectY,
objectZ: store.objectZ,
objectRotXDeg: store.objectRotXDeg,
objectRotYDeg: store.objectRotYDeg,
objectRotZDeg: store.objectRotZDeg,
fitCamera: fit,
});
}
onMounted(async () => {
await store.hydrateFromServer();
if (store.auvFileName || store.objectFileName) {
const parts = [];
if (store.auvFileName) parts.push(`АНПА: ${store.auvFileName}`);
if (store.objectFileName) parts.push(`объект: ${store.objectFileName}`);
store.pushLog(`Восстановлены настройки (${parts.join(", ")}). Файлы моделей нужно выбрать снова.`);
}
sim.setCallbacks({
status: ({ traveled, x, y, z, surveyFaces }) => {
liveStatus.value = `путь ${traveled.toFixed(1)} м · (${x.toFixed(1)}, ${y.toFixed(1)}, ${z.toFixed(1)}) · поверхность ${surveyFaces || 0} граней`;
store.running = true;
},
finished: ({ traveled, saved }) => {
store.running = false;
store.statusText = `Съёмка завершена: ${traveled.toFixed(1)} м`;
store.pushLog(`Съёмка завершена: пройдено ${traveled.toFixed(1)} м`);
if (saved?.seafloorObj) {
store.seafloorObjPath = saved.seafloorObj;
store.pushLog(
`Поверхность съёмки сохранена: ${saved.seafloorObj} (${saved.vertexCount} вершин, ${saved.faceCount} граней)`,
);
}
liveStatus.value = "";
},
});
});
watch(
() => [
store.auvDepth,
store.auvX,
store.auvY,
store.auvHeadingDeg,
store.auvSizeM,
store.objectX,
store.objectY,
store.objectZ,
store.objectSizeM,
store.objectRotXDeg,
store.objectRotYDeg,
store.objectRotZDeg,
store.beamCount,
store.swathAngleDeg,
store.detectionRangeM,
store.speed,
store.surveyLength,
store.seed,
store.sizeX,
store.sizeY,
store.outputDir,
],
() => {
store.persistSettings();
applyLiveParams(true);
},
);
function onAuvFile(event) {
store.setAuvFile(event.target?.files?.[0] || null);
}
function onObjectFile(event) {
store.setObjectFile(event.target?.files?.[0] || null);
}
async function onPrepare() {
try {
const result = await store.prepare();
await sim.applyScene({
seafloorPayload: result,
auvFile: store.auvFile,
objectFile: store.objectFile,
params: {
auvX: store.auvX,
auvY: store.auvY,
auvDepth: store.auvDepth,
auvHeadingDeg: store.auvHeadingDeg,
auvSizeM: store.auvSizeM,
objectX: store.objectX,
objectY: store.objectY,
objectZ: store.objectZ,
objectSizeM: store.objectSizeM,
objectRotXDeg: store.objectRotXDeg,
objectRotYDeg: store.objectRotYDeg,
objectRotZDeg: store.objectRotZDeg,
beamCount: store.beamCount,
swathAngleDeg: store.swathAngleDeg,
detectionRangeM: store.detectionRangeM,
speed: store.speed,
surveyLength: store.surveyLength,
},
});
store.pushLog("Сцена готова. Нажмите «Старт» для движения АНПА.");
} catch {
/* logged in store */
}
}
function onStart() {
if (!store.scene) {
store.statusText = "Сначала подготовьте сцену";
return;
}
sim.updateParams({
beamCount: store.beamCount,
swathAngleDeg: store.swathAngleDeg,
detectionRangeM: store.detectionRangeM,
speed: store.speed,
surveyLength: store.surveyLength,
auvDepth: store.auvDepth,
auvX: store.auvX,
auvY: store.auvY,
auvHeadingDeg: store.auvHeadingDeg,
objectX: store.objectX,
objectY: store.objectY,
objectZ: store.objectZ,
objectRotXDeg: store.objectRotXDeg,
objectRotYDeg: store.objectRotYDeg,
objectRotZDeg: store.objectRotZDeg,
});
if (sim.start()) {
store.running = true;
store.statusText = "Съёмка…";
store.pushLog(
`Старт: скорость=${store.speed} м/с, курс=${store.auvHeadingDeg}°, глубина над дном=${store.auvDepth} м, лучей=${store.beamCount}`,
);
}
}
function onStop() {
sim.stop();
store.running = false;
store.statusText = "Остановлено";
store.pushLog("Съёмка остановлена");
liveStatus.value = "";
}
function onShotScene() {
const result = sim.captureSnapshot("scene");
if (result) {
store.pushLog(`Скриншот окна «${result.windowLabel}» сохранён: ${result.filename} (загрузки браузера)`);
} else {
store.pushLog("Скриншот сцены: окно ещё не готово");
}
}
function onShotSurvey() {
const result = sim.captureSnapshot("survey");
if (result) {
store.pushLog(`Скриншот окна «${result.windowLabel}» сохранён: ${result.filename} (загрузки браузера)`);
} else {
store.pushLog("Скриншот рельефа: окно ещё не готово");
}
}
</script>
<template>
<main class="layout gbo-layout">
<aside class="sidebar gbo-sidebar">
<section class="panel">
<h2>Имитатор ГБО</h2>
<p class="hint">
Гидролокатор бокового обзора (ГБО) на АНПА: рельеф дна, объект и движение.
На каждом борту <strong>сплошной сектор</strong> от <strong>12°</strong> до <strong>75°</strong>
от надира (симметрично). Шаг озвучивания 0.5°. Между бортами
<strong>слепая зона</strong> (|θ|&lt;12°), чёрная.
В окне съёмки: сплошное покрытие секторов + чёрные зоны вне обзора
(надир |θ|&lt;12° и |θ|&gt;75°) + акустическая тень <code>seafloor.obj</code>.
</p>
<h3>Модели</h3>
<label class="field">
<span>3D модель АНПА (.obj)</span>
<input type="file" accept=".obj" :disabled="store.busy || store.running" @change="onAuvFile" />
<span class="ref-caption">{{ store.auvFileName || "Не выбрана — будет упрощённая модель" }}</span>
</label>
<label class="field">
<span>3D модель объекта на дне (.obj)</span>
<input type="file" accept=".obj" :disabled="store.busy || store.running" @change="onObjectFile" />
<span class="ref-caption">{{ store.objectFileName || "Не выбрана — будет упрощённая модель" }}</span>
</label>
<h3>Положение АНПА</h3>
<div class="grid-2">
<label class="field">
<span>X</span>
<input v-model.number="store.auvX" type="number" step="0.5" :disabled="store.running" />
</label>
<label class="field">
<span>Y (старт)</span>
<input v-model.number="store.auvY" type="number" step="0.5" :disabled="store.running" />
</label>
<label class="field">
<span>Высота над дном, м</span>
<input v-model.number="store.auvDepth" type="number" min="0.3" step="0.1" :disabled="store.running" />
</label>
<label class="field">
<span>Курс, °</span>
<input v-model.number="store.auvHeadingDeg" type="number" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Длина АНПА, м</span>
<input v-model.number="store.auvSizeM" type="number" min="0.05" step="0.1" :disabled="store.running" />
</label>
</div>
<h3>Положение объекта</h3>
<div class="grid-2">
<label class="field">
<span>X</span>
<input v-model.number="store.objectX" type="number" step="0.5" :disabled="store.running" />
</label>
<label class="field">
<span>Y</span>
<input v-model.number="store.objectY" type="number" step="0.5" :disabled="store.running" />
</label>
<label class="field">
<span>Высота над дном</span>
<input v-model.number="store.objectZ" type="number" step="0.1" :disabled="store.running" />
</label>
<label class="field">
<span>Размер объекта, м</span>
<input v-model.number="store.objectSizeM" type="number" min="0.05" step="0.1" :disabled="store.running" />
</label>
<label class="field">
<span>Поворот X, °</span>
<input v-model.number="store.objectRotXDeg" type="number" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Поворот Y, °</span>
<input v-model.number="store.objectRotYDeg" type="number" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Поворот Z, °</span>
<input v-model.number="store.objectRotZDeg" type="number" step="1" :disabled="store.running" />
</label>
</div>
<h3>Лучи и движение</h3>
<p class="hint">Геометрия ГБО: сектор ±12°±75° от надира на каждом борту, шаг 0.5°.</p>
<div class="grid-2">
<label class="field">
<span>Число лучей</span>
<input v-model.number="store.beamCount" type="number" min="1" max="256" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Угол обзора, °</span>
<input v-model.number="store.swathAngleDeg" type="number" min="10" max="170" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Дальность, м</span>
<input v-model.number="store.detectionRangeM" type="number" min="1" max="400" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Скорость, м/с</span>
<input v-model.number="store.speed" type="number" min="0.1" step="0.1" :disabled="store.running" />
</label>
<label class="field">
<span>Длина галса, м</span>
<input v-model.number="store.surveyLength" type="number" min="1" step="1" :disabled="store.running" />
</label>
</div>
<h3>Рельеф дна</h3>
<div class="grid-2">
<label class="field">
<span>Seed</span>
<input v-model.number="store.seed" type="number" step="1" :disabled="store.busy || store.running" />
</label>
<label class="field">
<span>Размер X</span>
<input v-model.number="store.sizeX" type="number" min="8" step="1" :disabled="store.busy || store.running" />
</label>
<label class="field">
<span>Размер Y</span>
<input v-model.number="store.sizeY" type="number" min="8" step="1" :disabled="store.busy || store.running" />
</label>
<label class="field">
<span>Каталог</span>
<input v-model="store.outputDir" type="text" :disabled="store.busy || store.running" />
</label>
</div>
<div class="actions">
<button
type="button"
class="primary"
:disabled="!store.canPrepare"
@click="onPrepare"
>
{{ store.busy ? "Подготовка…" : "Подготовить" }}
</button>
<button
type="button"
class="primary"
:disabled="!store.canStart || store.running"
@click="onStart"
>
Старт
</button>
<button type="button" :disabled="!store.running" @click="onStop">
Стоп
</button>
</div>
<p class="status">{{ store.statusText }}</p>
<p v-if="liveStatus" class="live">{{ liveStatus }}</p>
<p v-if="store.seafloorObjPath" class="ref-caption">
Рельеф: <code>{{ store.seafloorObjPath }}</code>
</p>
</section>
</aside>
<div class="content-column gbo-content">
<div class="viewer-wrap">
<div ref="viewerRef" class="viewer-canvas" />
<div class="shot-bar scene-shot-bar" role="toolbar" aria-label="Скриншот сцены">
<button
type="button"
class="shot-btn"
title="Скриншот сцены"
aria-label="Скриншот сцены"
@click="onShotScene"
>
<svg viewBox="0 0 24 24" aria-hidden="true">
<path d="M4 7h4l2-3h4l2 3h4v12H4V7z" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linejoin="round" />
<circle cx="12" cy="13" r="3.5" fill="none" stroke="currentColor" stroke-width="1.6" />
</svg>
</button>
</div>
<div class="viewer-label">
Имитатор ГБО
<span v-if="store.running"> · съёмка</span>
</div>
<div class="survey-panel">
<div class="survey-title">Съёмка ГБО seafloor.obj</div>
<div class="survey-canvas-wrap">
<div ref="surveyRef" class="survey-canvas" />
<div class="shot-bar survey-shot-bar" role="toolbar" aria-label="Скриншот рельефа">
<button
type="button"
class="shot-btn"
title="Скриншот рельефа"
aria-label="Скриншот рельефа"
@click="onShotSurvey"
>
<svg viewBox="0 0 24 24" aria-hidden="true">
<path d="M4 7h4l2-3h4l2 3h4v12H4V7z" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linejoin="round" />
<circle cx="12" cy="13" r="3.5" fill="none" stroke="currentColor" stroke-width="1.6" />
</svg>
</button>
</div>
</div>
</div>
</div>
<section class="log-panel">
<h3>Лог</h3>
<pre class="log">{{ store.logLines.join("\n") || "—" }}</pre>
</section>
</div>
</main>
</template>
<style scoped>
.gbo-layout {
display: grid;
grid-template-columns: minmax(300px, 360px) minmax(0, 1fr);
align-items: stretch;
height: calc(100vh - 56px);
min-height: 0;
max-height: calc(100vh - 56px);
overflow: hidden;
gap: 12px;
padding: 12px;
box-sizing: border-box;
}
.gbo-sidebar {
display: block;
width: 100%;
max-width: 100%;
min-width: 0;
height: 100%;
max-height: 100%;
min-height: 0;
overflow-x: hidden;
overflow-y: auto;
overscroll-behavior: contain;
position: relative;
z-index: 2;
box-sizing: border-box;
-webkit-overflow-scrolling: touch;
}
.panel {
padding: 14px 12px 20px;
display: flex;
flex-direction: column;
gap: 10px;
width: 100%;
max-width: 100%;
min-width: 0;
box-sizing: border-box;
overflow: visible;
}
.panel h2 {
margin: 0;
font-size: 16px;
}
.panel h3 {
margin: 8px 0 0;
font-size: 13px;
color: var(--muted-text);
}
.hint {
margin: 0;
font-size: 12px;
color: var(--muted-text);
line-height: 1.4;
}
.hint code {
font-size: 11px;
}
.ref-caption {
font-size: 11px;
color: var(--muted-text);
word-break: break-all;
}
.field {
display: flex;
flex-direction: column;
gap: 4px;
font-size: 13px;
min-width: 0;
width: 100%;
box-sizing: border-box;
}
.field input[type="number"],
.field input[type="text"],
.field input[type="file"] {
width: 100%;
max-width: 100%;
min-width: 0;
padding: 6px 8px;
border-radius: 6px;
border: 1px solid var(--header-border);
background: var(--button-bg);
color: var(--control-text);
box-sizing: border-box;
}
.grid-2 {
display: grid;
grid-template-columns: minmax(0, 1fr) minmax(0, 1fr);
gap: 8px;
width: 100%;
min-width: 0;
box-sizing: border-box;
}
.actions {
display: flex;
flex-direction: column;
gap: 8px;
width: 100%;
min-width: 0;
box-sizing: border-box;
}
.actions button {
width: 100%;
max-width: 100%;
box-sizing: border-box;
padding: 8px 12px;
}
.primary {
font-weight: 600;
cursor: pointer;
}
.primary:disabled,
button:disabled {
opacity: 0.6;
cursor: wait;
}
.status,
.live {
margin: 0;
font-size: 12px;
color: var(--muted-text);
}
.live {
color: var(--control-text);
}
.gbo-content {
display: flex;
flex-direction: column;
gap: 8px;
min-width: 0;
min-height: 0;
height: 100%;
overflow: hidden;
padding: 0;
position: relative;
z-index: 1;
}
.viewer-wrap {
position: relative;
flex: 1 1 auto;
min-height: 0;
border: 1px solid var(--header-border);
border-radius: var(--radius-sm, 6px);
overflow: hidden;
background: #1a3d38;
}
.viewer-canvas {
width: 100%;
height: 100%;
}
.viewer-canvas :deep(canvas) {
width: 100% !important;
height: 100% !important;
display: block;
}
.viewer-label {
position: absolute;
left: 10px;
bottom: 10px;
font-size: 12px;
padding: 4px 8px;
border-radius: 6px;
background: rgba(0, 0, 0, 0.55);
color: #e2e8f0;
z-index: 2;
pointer-events: none;
}
.survey-panel {
position: absolute;
right: 10px;
bottom: 10px;
width: min(380px, 46%);
height: min(280px, 42%);
display: flex;
flex-direction: column;
border: 1px solid rgba(148, 163, 184, 0.45);
border-radius: 8px;
overflow: hidden;
background: #2a5a4a;
box-shadow: 0 8px 24px rgba(0, 0, 0, 0.35);
z-index: 3;
pointer-events: auto;
}
.survey-title {
flex: 0 0 auto;
padding: 5px 8px;
font-size: 11px;
color: #cbd5e1;
background: rgba(15, 23, 42, 0.9);
border-bottom: 1px solid rgba(148, 163, 184, 0.25);
pointer-events: none;
}
.survey-canvas-wrap {
position: relative;
flex: 1 1 auto;
min-height: 0;
width: 100%;
height: 100%;
}
.survey-canvas {
width: 100%;
height: 100%;
min-height: 0;
touch-action: none;
position: relative;
overflow: hidden;
background: #2a5a4a;
}
.survey-canvas :deep(canvas) {
width: 100% !important;
height: 100% !important;
display: block;
}
.shot-bar {
position: absolute;
z-index: 4;
display: flex;
gap: 2px;
padding: 2px 4px;
border-radius: 4px;
background: color-mix(in srgb, var(--card-bg) 88%, transparent);
border: 1px solid var(--card-border);
box-shadow: 0 1px 4px rgba(0, 0, 0, 0.12);
pointer-events: auto;
}
.scene-shot-bar {
top: 8px;
left: 8px;
}
.survey-shot-bar {
top: 6px;
right: 6px;
}
.shot-btn {
width: 28px;
height: 28px;
padding: 0;
display: grid;
place-items: center;
border: none;
border-radius: 3px;
background: transparent;
color: var(--modebar-icon, #e2e8f0);
cursor: pointer;
}
.shot-btn:hover {
background: color-mix(in srgb, var(--control-text) 12%, transparent);
}
.shot-btn svg {
width: 18px;
height: 18px;
}
.log-panel {
flex: 0 0 140px;
min-height: 0;
overflow: hidden;
display: flex;
flex-direction: column;
border: 1px solid var(--header-border);
border-radius: var(--radius-sm, 6px);
padding: 8px 10px;
}
.log-panel h3 {
margin: 0 0 6px;
font-size: 13px;
}
.log {
margin: 0;
flex: 1;
min-height: 0;
overflow: auto;
font-size: 11px;
line-height: 1.35;
white-space: pre-wrap;
color: var(--muted-text);
}
@media (max-width: 1100px) {
.gbo-layout {
grid-template-columns: 1fr;
grid-template-rows: minmax(220px, 38vh) minmax(0, 1fr);
}
}
</style>
+678
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<script setup>
import { onMounted, ref, watch } from "vue";
import { useMleStore } from "@/stores/mle";
import { useMleSimulator } from "@/composables/useMleSimulator";
const store = useMleStore();
const viewerRef = ref(null);
const surveyRef = ref(null);
const sim = useMleSimulator(viewerRef, surveyRef);
const liveStatus = ref("");
function applyLiveParams(fit = true) {
if (!store.scene || store.running) return;
sim.updateParams({
beamCount: store.beamCount,
swathAngleDeg: store.swathAngleDeg,
detectionRangeM: store.detectionRangeM,
speed: store.speed,
surveyLength: store.surveyLength,
auvDepth: store.auvDepth,
auvX: store.auvX,
auvY: store.auvY,
auvHeadingDeg: store.auvHeadingDeg,
objectX: store.objectX,
objectY: store.objectY,
objectZ: store.objectZ,
objectRotXDeg: store.objectRotXDeg,
objectRotYDeg: store.objectRotYDeg,
objectRotZDeg: store.objectRotZDeg,
fitCamera: fit,
});
}
onMounted(async () => {
await store.hydrateFromServer();
if (store.auvFileName || store.objectFileName) {
const parts = [];
if (store.auvFileName) parts.push(`АНПА: ${store.auvFileName}`);
if (store.objectFileName) parts.push(`объект: ${store.objectFileName}`);
store.pushLog(`Восстановлены настройки (${parts.join(", ")}). Файлы моделей нужно выбрать снова.`);
}
sim.setCallbacks({
status: ({ traveled, x, y, z, surveyFaces }) => {
liveStatus.value = `путь ${traveled.toFixed(1)} м · (${x.toFixed(1)}, ${y.toFixed(1)}, ${z.toFixed(1)}) · поверхность ${surveyFaces || 0} граней`;
store.running = true;
},
finished: ({ traveled, saved }) => {
store.running = false;
store.statusText = `Съёмка завершена: ${traveled.toFixed(1)} м`;
store.pushLog(`Съёмка завершена: пройдено ${traveled.toFixed(1)} м`);
if (saved?.seafloorObj) {
store.seafloorObjPath = saved.seafloorObj;
store.pushLog(
`Поверхность съёмки сохранена: ${saved.seafloorObj} (${saved.vertexCount} вершин, ${saved.faceCount} граней)`,
);
}
liveStatus.value = "";
},
});
});
watch(
() => [
store.auvDepth,
store.auvX,
store.auvY,
store.auvHeadingDeg,
store.auvSizeM,
store.objectX,
store.objectY,
store.objectZ,
store.objectSizeM,
store.objectRotXDeg,
store.objectRotYDeg,
store.objectRotZDeg,
store.beamCount,
store.swathAngleDeg,
store.detectionRangeM,
store.speed,
store.surveyLength,
store.seed,
store.sizeX,
store.sizeY,
store.outputDir,
],
() => {
store.persistSettings();
applyLiveParams(true);
},
);
function onAuvFile(event) {
store.setAuvFile(event.target?.files?.[0] || null);
}
function onObjectFile(event) {
store.setObjectFile(event.target?.files?.[0] || null);
}
async function onPrepare() {
try {
const result = await store.prepare();
await sim.applyScene({
seafloorPayload: result,
auvFile: store.auvFile,
objectFile: store.objectFile,
params: {
auvX: store.auvX,
auvY: store.auvY,
auvDepth: store.auvDepth,
auvHeadingDeg: store.auvHeadingDeg,
auvSizeM: store.auvSizeM,
objectX: store.objectX,
objectY: store.objectY,
objectZ: store.objectZ,
objectSizeM: store.objectSizeM,
objectRotXDeg: store.objectRotXDeg,
objectRotYDeg: store.objectRotYDeg,
objectRotZDeg: store.objectRotZDeg,
beamCount: store.beamCount,
swathAngleDeg: store.swathAngleDeg,
detectionRangeM: store.detectionRangeM,
speed: store.speed,
surveyLength: store.surveyLength,
},
});
store.pushLog("Сцена готова. Нажмите «Старт» для движения АНПА.");
} catch {
/* logged in store */
}
}
function onStart() {
if (!store.scene) {
store.statusText = "Сначала подготовьте сцену";
return;
}
sim.updateParams({
beamCount: store.beamCount,
swathAngleDeg: store.swathAngleDeg,
detectionRangeM: store.detectionRangeM,
speed: store.speed,
surveyLength: store.surveyLength,
auvDepth: store.auvDepth,
auvX: store.auvX,
auvY: store.auvY,
auvHeadingDeg: store.auvHeadingDeg,
objectX: store.objectX,
objectY: store.objectY,
objectZ: store.objectZ,
objectRotXDeg: store.objectRotXDeg,
objectRotYDeg: store.objectRotYDeg,
objectRotZDeg: store.objectRotZDeg,
});
if (sim.start()) {
store.running = true;
store.statusText = "Съёмка…";
store.pushLog(
`Старт: скорость=${store.speed} м/с, курс=${store.auvHeadingDeg}°, глубина над дном=${store.auvDepth} м, лучей=${store.beamCount}`,
);
}
}
function onStop() {
sim.stop();
store.running = false;
store.statusText = "Остановлено";
store.pushLog("Съёмка остановлена");
liveStatus.value = "";
}
function onShotScene() {
const result = sim.captureSnapshot("scene");
if (result) {
store.pushLog(`Скриншот окна «${result.windowLabel}» сохранён: ${result.filename} (загрузки браузера)`);
} else {
store.pushLog("Скриншот сцены: окно ещё не готово");
}
}
function onShotSurvey() {
const result = sim.captureSnapshot("survey");
if (result) {
store.pushLog(`Скриншот окна «${result.windowLabel}» сохранён: ${result.filename} (загрузки браузера)`);
} else {
store.pushLog("Скриншот рельефа: окно ещё не готово");
}
}
</script>
<template>
<main class="layout mle-layout">
<aside class="sidebar mle-sidebar">
<section class="panel">
<h2>Имитатор МЛЭ</h2>
<p class="hint">
Многолучевой эхолот на АНПА: рельеф дна, объект, лучи и движение аппарата.
Объект по умолчанию ставится по курсу АНПА на дне. В правом нижнем окне
наращивается поверхность съёмки (дно + объект по первому отклику луча)
она же сохраняется в <code>seafloor.obj</code>.
</p>
<h3>Модели</h3>
<label class="field">
<span>3D модель АНПА (.obj)</span>
<input type="file" accept=".obj" :disabled="store.busy || store.running" @change="onAuvFile" />
<span class="ref-caption">{{ store.auvFileName || "Не выбрана — будет упрощённая модель" }}</span>
</label>
<label class="field">
<span>3D модель объекта на дне (.obj)</span>
<input type="file" accept=".obj" :disabled="store.busy || store.running" @change="onObjectFile" />
<span class="ref-caption">{{ store.objectFileName || "Не выбрана — будет упрощённая модель" }}</span>
</label>
<h3>Положение АНПА</h3>
<div class="grid-2">
<label class="field">
<span>X</span>
<input v-model.number="store.auvX" type="number" step="0.5" :disabled="store.running" />
</label>
<label class="field">
<span>Y (старт)</span>
<input v-model.number="store.auvY" type="number" step="0.5" :disabled="store.running" />
</label>
<label class="field">
<span>Высота над дном, м</span>
<input v-model.number="store.auvDepth" type="number" min="0.3" step="0.1" :disabled="store.running" />
</label>
<label class="field">
<span>Курс, °</span>
<input v-model.number="store.auvHeadingDeg" type="number" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Длина АНПА, м</span>
<input v-model.number="store.auvSizeM" type="number" min="0.05" step="0.1" :disabled="store.running" />
</label>
</div>
<h3>Положение объекта</h3>
<div class="grid-2">
<label class="field">
<span>X</span>
<input v-model.number="store.objectX" type="number" step="0.5" :disabled="store.running" />
</label>
<label class="field">
<span>Y</span>
<input v-model.number="store.objectY" type="number" step="0.5" :disabled="store.running" />
</label>
<label class="field">
<span>Высота над дном</span>
<input v-model.number="store.objectZ" type="number" step="0.1" :disabled="store.running" />
</label>
<label class="field">
<span>Размер объекта, м</span>
<input v-model.number="store.objectSizeM" type="number" min="0.05" step="0.1" :disabled="store.running" />
</label>
<label class="field">
<span>Поворот X, °</span>
<input v-model.number="store.objectRotXDeg" type="number" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Поворот Y, °</span>
<input v-model.number="store.objectRotYDeg" type="number" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Поворот Z, °</span>
<input v-model.number="store.objectRotZDeg" type="number" step="1" :disabled="store.running" />
</label>
</div>
<h3>Лучи и движение</h3>
<div class="grid-2">
<label class="field">
<span>Число лучей</span>
<input v-model.number="store.beamCount" type="number" min="1" max="256" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Угол обзора, °</span>
<input v-model.number="store.swathAngleDeg" type="number" min="10" max="170" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Дальность, м</span>
<input v-model.number="store.detectionRangeM" type="number" min="1" max="400" step="1" :disabled="store.running" />
</label>
<label class="field">
<span>Скорость, м/с</span>
<input v-model.number="store.speed" type="number" min="0.1" step="0.1" :disabled="store.running" />
</label>
<label class="field">
<span>Длина галса, м</span>
<input v-model.number="store.surveyLength" type="number" min="1" step="1" :disabled="store.running" />
</label>
</div>
<h3>Рельеф дна</h3>
<div class="grid-2">
<label class="field">
<span>Seed</span>
<input v-model.number="store.seed" type="number" step="1" :disabled="store.busy || store.running" />
</label>
<label class="field">
<span>Размер X</span>
<input v-model.number="store.sizeX" type="number" min="8" step="1" :disabled="store.busy || store.running" />
</label>
<label class="field">
<span>Размер Y</span>
<input v-model.number="store.sizeY" type="number" min="8" step="1" :disabled="store.busy || store.running" />
</label>
<label class="field">
<span>Каталог</span>
<input v-model="store.outputDir" type="text" :disabled="store.busy || store.running" />
</label>
</div>
<div class="actions">
<button
type="button"
class="primary"
:disabled="!store.canPrepare"
@click="onPrepare"
>
{{ store.busy ? "Подготовка…" : "Подготовить" }}
</button>
<button
type="button"
class="primary"
:disabled="!store.canStart || store.running"
@click="onStart"
>
Старт
</button>
<button type="button" :disabled="!store.running" @click="onStop">
Стоп
</button>
</div>
<p class="status">{{ store.statusText }}</p>
<p v-if="liveStatus" class="live">{{ liveStatus }}</p>
<p v-if="store.seafloorObjPath" class="ref-caption">
Рельеф: <code>{{ store.seafloorObjPath }}</code>
</p>
</section>
</aside>
<div class="content-column mle-content">
<div class="viewer-wrap">
<div ref="viewerRef" class="viewer-canvas" />
<div class="shot-bar scene-shot-bar" role="toolbar" aria-label="Скриншот сцены">
<button
type="button"
class="shot-btn"
title="Скриншот сцены"
aria-label="Скриншот сцены"
@click="onShotScene"
>
<svg viewBox="0 0 24 24" aria-hidden="true">
<path d="M4 7h4l2-3h4l2 3h4v12H4V7z" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linejoin="round" />
<circle cx="12" cy="13" r="3.5" fill="none" stroke="currentColor" stroke-width="1.6" />
</svg>
</button>
</div>
<div class="viewer-label">
Имитатор МЛЭ
<span v-if="store.running"> · съёмка</span>
</div>
<div class="survey-panel">
<div class="survey-title">Съёмка рельефа seafloor.obj</div>
<div class="survey-canvas-wrap">
<div ref="surveyRef" class="survey-canvas" />
<div class="shot-bar survey-shot-bar" role="toolbar" aria-label="Скриншот рельефа">
<button
type="button"
class="shot-btn"
title="Скриншот рельефа"
aria-label="Скриншот рельефа"
@click="onShotSurvey"
>
<svg viewBox="0 0 24 24" aria-hidden="true">
<path d="M4 7h4l2-3h4l2 3h4v12H4V7z" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linejoin="round" />
<circle cx="12" cy="13" r="3.5" fill="none" stroke="currentColor" stroke-width="1.6" />
</svg>
</button>
</div>
</div>
</div>
</div>
<section class="log-panel">
<h3>Лог</h3>
<pre class="log">{{ store.logLines.join("\n") || "—" }}</pre>
</section>
</div>
</main>
</template>
<style scoped>
.mle-layout {
display: grid;
grid-template-columns: minmax(300px, 360px) minmax(0, 1fr);
align-items: stretch;
height: calc(100vh - 56px);
min-height: 0;
max-height: calc(100vh - 56px);
overflow: hidden;
gap: 12px;
padding: 12px;
box-sizing: border-box;
}
.mle-sidebar {
display: block;
width: 100%;
max-width: 100%;
min-width: 0;
height: 100%;
max-height: 100%;
min-height: 0;
overflow-x: hidden;
overflow-y: auto;
overscroll-behavior: contain;
position: relative;
z-index: 2;
box-sizing: border-box;
-webkit-overflow-scrolling: touch;
}
.panel {
padding: 14px 12px 20px;
display: flex;
flex-direction: column;
gap: 10px;
width: 100%;
max-width: 100%;
min-width: 0;
box-sizing: border-box;
overflow: visible;
}
.panel h2 {
margin: 0;
font-size: 16px;
}
.panel h3 {
margin: 8px 0 0;
font-size: 13px;
color: var(--muted-text);
}
.hint {
margin: 0;
font-size: 12px;
color: var(--muted-text);
line-height: 1.4;
}
.hint code {
font-size: 11px;
}
.ref-caption {
font-size: 11px;
color: var(--muted-text);
word-break: break-all;
}
.field {
display: flex;
flex-direction: column;
gap: 4px;
font-size: 13px;
min-width: 0;
width: 100%;
box-sizing: border-box;
}
.field input[type="number"],
.field input[type="text"],
.field input[type="file"] {
width: 100%;
max-width: 100%;
min-width: 0;
padding: 6px 8px;
border-radius: 6px;
border: 1px solid var(--header-border);
background: var(--button-bg);
color: var(--control-text);
box-sizing: border-box;
}
.grid-2 {
display: grid;
grid-template-columns: minmax(0, 1fr) minmax(0, 1fr);
gap: 8px;
width: 100%;
min-width: 0;
box-sizing: border-box;
}
.actions {
display: flex;
flex-direction: column;
gap: 8px;
width: 100%;
min-width: 0;
box-sizing: border-box;
}
.actions button {
width: 100%;
max-width: 100%;
box-sizing: border-box;
padding: 8px 12px;
}
.primary {
font-weight: 600;
cursor: pointer;
}
.primary:disabled,
button:disabled {
opacity: 0.6;
cursor: wait;
}
.status,
.live {
margin: 0;
font-size: 12px;
color: var(--muted-text);
}
.live {
color: var(--control-text);
}
.mle-content {
display: flex;
flex-direction: column;
gap: 8px;
min-width: 0;
min-height: 0;
height: 100%;
overflow: hidden;
padding: 0;
position: relative;
z-index: 1;
}
.viewer-wrap {
position: relative;
flex: 1 1 auto;
min-height: 0;
border: 1px solid var(--header-border);
border-radius: var(--radius-sm, 6px);
overflow: hidden;
background: #1a3d38;
}
.viewer-canvas {
width: 100%;
height: 100%;
}
.viewer-canvas :deep(canvas) {
width: 100% !important;
height: 100% !important;
display: block;
}
.viewer-label {
position: absolute;
left: 10px;
bottom: 10px;
font-size: 12px;
padding: 4px 8px;
border-radius: 6px;
background: rgba(0, 0, 0, 0.55);
color: #e2e8f0;
z-index: 2;
pointer-events: none;
}
.survey-panel {
position: absolute;
right: 10px;
bottom: 10px;
width: min(380px, 46%);
height: min(280px, 42%);
display: flex;
flex-direction: column;
border: 1px solid rgba(148, 163, 184, 0.45);
border-radius: 8px;
overflow: hidden;
background: #2a5a4a;
box-shadow: 0 8px 24px rgba(0, 0, 0, 0.35);
z-index: 3;
pointer-events: auto;
}
.survey-title {
flex: 0 0 auto;
padding: 5px 8px;
font-size: 11px;
color: #cbd5e1;
background: rgba(15, 23, 42, 0.9);
border-bottom: 1px solid rgba(148, 163, 184, 0.25);
pointer-events: none;
}
.survey-canvas-wrap {
position: relative;
flex: 1 1 auto;
min-height: 0;
width: 100%;
height: 100%;
}
.survey-canvas {
width: 100%;
height: 100%;
min-height: 0;
touch-action: none;
position: relative;
overflow: hidden;
background: #2a5a4a;
}
.survey-canvas :deep(canvas) {
width: 100% !important;
height: 100% !important;
display: block;
}
.shot-bar {
position: absolute;
z-index: 4;
display: flex;
gap: 2px;
padding: 2px 4px;
border-radius: 4px;
background: color-mix(in srgb, var(--card-bg) 88%, transparent);
border: 1px solid var(--card-border);
box-shadow: 0 1px 4px rgba(0, 0, 0, 0.12);
pointer-events: auto;
}
.scene-shot-bar {
top: 8px;
left: 8px;
}
.survey-shot-bar {
top: 6px;
right: 6px;
}
.shot-btn {
width: 28px;
height: 28px;
padding: 0;
display: grid;
place-items: center;
border: none;
border-radius: 3px;
background: transparent;
color: var(--modebar-icon, #e2e8f0);
cursor: pointer;
}
.shot-btn:hover {
background: color-mix(in srgb, var(--control-text) 12%, transparent);
}
.shot-btn svg {
width: 18px;
height: 18px;
}
.log-panel {
flex: 0 0 140px;
min-height: 0;
overflow: hidden;
display: flex;
flex-direction: column;
border: 1px solid var(--header-border);
border-radius: var(--radius-sm, 6px);
padding: 8px 10px;
}
.log-panel h3 {
margin: 0 0 6px;
font-size: 13px;
}
.log {
margin: 0;
flex: 1;
min-height: 0;
overflow: auto;
font-size: 11px;
line-height: 1.35;
white-space: pre-wrap;
color: var(--muted-text);
}
@media (max-width: 1100px) {
.mle-layout {
grid-template-columns: 1fr;
grid-template-rows: minmax(220px, 38vh) minmax(0, 1fr);
}
}
</style>