diff --git a/tests/visualization/test_runtime.py b/tests/visualization/test_runtime.py index 512c2e923..d5451f656 100644 --- a/tests/visualization/test_runtime.py +++ b/tests/visualization/test_runtime.py @@ -1,20 +1,19 @@ """Tests for the installable browser workspace runtime.""" -from io import BytesIO import json -from pathlib import Path import tarfile import threading +from io import BytesIO +from pathlib import Path import pytest from fastapi.testclient import TestClient from PIL import Image from visualization import app as app_runtime -from visualization import modal_deployment -from visualization import runtime -from visualization.app import create_app +from visualization import modal_deployment, runtime from visualization import samples as sample_runtime +from visualization.app import create_app def _cuda_hardware() -> dict: @@ -83,6 +82,14 @@ def test_configuration_schema_defaults_to_vggt() -> None: assert argoverse_options["log_id"]["required"] is True +def test_yaml_catalog_ignores_cloud_duplicate_artifacts(tmp_path: Path) -> None: + (tmp_path / "vggt.yaml").write_text("model: canonical\n", encoding="utf-8") + (tmp_path / "vggt 2.yaml").write_text("model: duplicate\n", encoding="utf-8") + (tmp_path / "_base.yaml").write_text("model: base\n", encoding="utf-8") + + assert runtime._yaml_stem_options(tmp_path) == ["vggt"] + + def test_detect_hardware_always_reports_cpu() -> None: hardware = runtime.detect_hardware() @@ -237,6 +244,9 @@ def test_completed_job_exposes_splat_download(tmp_path: Path) -> None: jobs = client.get("/api/jobs").json()["items"] assert jobs[0]["has_final_splat"] is True + live = client.get("/api/jobs/finished-job/live") + assert live.status_code == 200 + assert live.json()["final_url"].endswith("/runs/finished/gaussian_splats.ply") response = client.get("/api/jobs/finished-job/splat", params={"format": "ply"}) assert response.status_code == 200 assert response.content.startswith(b"ply\n") @@ -273,6 +283,10 @@ def test_live_job_exposes_dask_worker_status(tmp_path: Path) -> None: live_root=str(live_root), spec={}, command=[], + log_tail=[ + "2026-08-13 17:00:00 [runner.py] INFO: 🌟 GTSFM: Starting SceneOptimizer...", + "2026-08-13 17:00:01 [scene_optimizer.py] INFO: 🔥 GTSFM: Partitioning the view graph...", + ], ) response = TestClient(app).get("/api/jobs/running-job/live") @@ -280,6 +294,7 @@ def test_live_job_exposes_dask_worker_status(tmp_path: Path) -> None: assert response.status_code == 200 assert response.json()["dask"]["workers"] == 2 assert response.json()["dask"]["running_tasks"] == 3 + assert response.json()["message"] == "🔥 GTSFM: Partitioning the view graph..." def test_workspace_rejects_invalid_splat_exports(tmp_path: Path) -> None: @@ -308,6 +323,23 @@ def test_sample_downloader_uses_certifi_ca_bundle() -> None: assert sample_runtime._SSL_CONTEXT.get_ca_certs() +def test_remote_workspace_requests_use_certifi_ca_bundle(monkeypatch: pytest.MonkeyPatch) -> None: + observed: dict[str, object] = {} + + def fake_urlopen(_request: object, **kwargs: object) -> BytesIO: + observed.update(kwargs) + return BytesIO(b'{"status": "ready"}') + + monkeypatch.setattr(runtime.urllib.request, "urlopen", fake_urlopen) + + result = runtime.JobManager._remote_json("https://workspace.example/api/hardware", "secret") + + assert result == {"status": "ready"} + assert observed["context"] is runtime._SSL_CONTEXT + assert observed["timeout"] == runtime._REMOTE_REQUEST_TIMEOUT_SECONDS + assert runtime._SSL_CONTEXT.get_ca_certs() + + def test_workspace_rejects_unknown_github_sample(tmp_path: Path) -> None: response = TestClient(create_app(tmp_path)).post("/api/samples/not-a-sample/prepare") @@ -559,6 +591,7 @@ def poll(self) -> None: def test_job_cancel_forwards_to_remote_vm(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(threading.Thread, "start", lambda thread: thread.run()) manager = runtime.JobManager(tmp_path) job = runtime.ManagedJob( id="remote-job", @@ -585,6 +618,60 @@ def test_job_cancel_forwards_to_remote_vm(tmp_path: Path, monkeypatch: pytest.Mo assert cancelled["status"] == "cancelled" assert calls == [("https://gpu.example.test/api/jobs/upstream-job/cancel", "secret", {})] + assert job.remote == { + "endpoint": "https://gpu.example.test", + "job_id": "upstream-job", + "cancel_status": "confirmed", + } + assert job.log_tail[-1] == "Modal job cancellation confirmed." + + +def test_job_cancel_during_modal_start_forwards_after_remote_accepts( + tmp_path: Path, monkeypatch: pytest.MonkeyPatch +) -> None: + manager = runtime.JobManager(tmp_path) + job = runtime.ManagedJob( + id="starting-remote-job", + name="remote", + status="running", + created_at="now", + updated_at="now", + output_root=str(tmp_path / "output"), + live_root=str(tmp_path / "live"), + spec={"splat_implementation": "none"}, + command=[], + remote={"endpoint": "https://gpu.example.test"}, + remote_api_key="secret", + ) + manager._jobs[job.id] = job + calls: list[tuple[str, object]] = [] + + def fake_remote_json( + endpoint: str, _api_key: str, *, payload: dict[str, object] | None = None + ) -> dict[str, object]: + calls.append((endpoint, payload)) + if endpoint.endswith("/api/jobs"): + # Reproduce the user clicking Cancel while the POST is waiting for + # Modal's cold-started container to accept the job. + manager.cancel(job.id) + return {"id": "upstream-job", "status": "queued"} + return {"id": "upstream-job", "status": "cancelled"} + + monkeypatch.setattr(manager, "_remote_json", fake_remote_json) + + manager._run_remote(job) + + assert job.status == "cancelled" + assert calls == [ + ("https://gpu.example.test/api/jobs", {"splat_implementation": "none", "execution_target": "local"}), + ("https://gpu.example.test/api/jobs/upstream-job/cancel", {}), + ] + assert job.remote == { + "endpoint": "https://gpu.example.test", + "job_id": "upstream-job", + "workspace_url": "https://gpu.example.test/?view=results", + "cancel_status": "confirmed", + } def test_remote_job_keeps_modal_and_ssh_credentials_private(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None: @@ -629,7 +716,7 @@ def test_remote_job_transfers_local_dataset_before_submit(tmp_path: Path, monkey def fake_upload(_endpoint: str, _api_key: str, directory: Path, _runtime_root: Path) -> dict[str, object]: assert directory == dataset - return {"path": "/workspace/results/.gtsfm/uploads/remote-dataset"} + return {"path": "/mnt/gtsfm-studio/results/.gtsfm/uploads/remote-dataset"} def fake_remote_json(url: str, _api_key: str, *, payload: dict[str, object] | None = None) -> dict[str, object]: if url.endswith("/api/jobs"): @@ -659,9 +746,10 @@ def fake_remote_json(url: str, _api_key: str, *, payload: dict[str, object] | No manager._run_remote(managed) - assert posted["dataset_dir"] == "/workspace/results/.gtsfm/uploads/remote-dataset" + assert posted["dataset_dir"] == "/mnt/gtsfm-studio/results/.gtsfm/uploads/remote-dataset" assert posted["execution_target"] == "local" assert managed.status == "completed" + assert json.loads((Path(managed.live_root) / "status.json").read_text(encoding="utf-8")) == {} def test_remote_sample_is_downloaded_by_remote_workspace(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None: @@ -696,11 +784,11 @@ def test_remote_sample_is_downloaded_by_remote_workspace(tmp_path: Path, monkeyp assert response.json()["spec"]["sample_id"] == "lund-door" -def test_modal_remote_api_key_is_stable_and_scoped() -> None: - first = modal_deployment.modal_remote_api_key("ak-one", "as-secret") +def test_modal_workspace_api_key_is_stable_and_scoped() -> None: + first = modal_deployment.modal_workspace_api_key("ak-one", "as-secret") - assert first == modal_deployment.modal_remote_api_key("ak-one", "as-secret") - assert first != modal_deployment.modal_remote_api_key("ak-two", "as-secret") + assert first == modal_deployment.modal_workspace_api_key("ak-one", "as-secret") + assert first != modal_deployment.modal_workspace_api_key("ak-two", "as-secret") assert "as-secret" not in first @@ -762,3 +850,37 @@ def test_fastapi_exposes_openapi_and_job_websocket(tmp_path: Path) -> None: with client.websocket_connect("/api/events/jobs") as websocket: assert websocket.receive_json() == {"items": []} + + +def test_fastapi_uses_injected_hardware_provider_and_serves_favicon(tmp_path: Path) -> None: + hardware = { + "summary": "Remote GPU configured without allocation", + "devices": [{"id": "cuda:0", "supports_gaussian_splatting": True}], + "accelerator_count": 1, + "platform": {}, + } + client = TestClient(create_app(tmp_path, hardware_provider=lambda: hardware)) + + assert client.get("/api/hardware").json() == hardware + favicon = client.get("/favicon.ico") + assert favicon.status_code == 200 + assert favicon.headers["content-type"] == "image/png" + + +def test_job_manager_accepts_safe_caller_provided_job_id(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(threading.Thread, "start", lambda _thread: None) + manager = runtime.JobManager(tmp_path) + spec = { + "name": "durable-id", + "dataset_dir": str(tmp_path), + "loader": "olsson", + "config_name": "vggt", + "splat_implementation": "none", + "hardware": "cpu", + } + + job = manager.start(spec, job_id="modal_job-123") + + assert job["id"] == "modal_job-123" + with pytest.raises(ValueError, match="unsupported characters"): + manager.start(spec, job_id="../../unsafe") diff --git a/visualization/app.py b/visualization/app.py index baffa74a7..1fc23487d 100644 --- a/visualization/app.py +++ b/visualization/app.py @@ -8,16 +8,19 @@ import hmac import json import os +import re import shutil import tarfile import urllib.error import uuid +from collections.abc import Callable from pathlib import Path, PurePosixPath from typing import Annotated, Any from urllib.parse import quote, urlparse import uvicorn -from fastapi import Depends, FastAPI, File, Form, Header, HTTPException, Request, UploadFile, WebSocket +from fastapi import (Depends, FastAPI, File, Form, Header, HTTPException, + Request, UploadFile, WebSocket) from fastapi.exceptions import RequestValidationError from fastapi.responses import FileResponse, HTMLResponse, JSONResponse from fastapi.staticfiles import StaticFiles @@ -25,22 +28,31 @@ from pydantic import BaseModel, ConfigDict from starlette.websockets import WebSocketDisconnect -from visualization.runtime import ( - JobManager, - configuration_schema, - detect_hardware, - install_optional_setup, - setup_status, -) -from visualization.modal_deployment import ModalDeploymentManager, modal_remote_api_key -from visualization.samples import SampleDownloadError, prepare_sample, sample_catalog - +from visualization.modal_deployment import (ModalDeploymentManager, + modal_workspace_api_key) +from visualization.runtime import (JobManager, configuration_schema, + detect_hardware, install_optional_setup, + setup_status) +from visualization.samples import (SampleDownloadError, prepare_sample, + sample_catalog) PACKAGE_ROOT = Path(__file__).resolve().parent STATIC_ROOT = PACKAGE_ROOT / "static" TEMPLATE_ROOT = PACKAGE_ROOT / "templates" SPLAT_EXPORT_FORMATS = {"ply"} IMAGE_SUFFIXES = {".avif", ".bmp", ".heic", ".heif", ".jpeg", ".jpg", ".png", ".tif", ".tiff", ".webp"} +_LOG_LEVEL_MESSAGE = re.compile(r"\b(?:DEBUG|INFO|WARNING|ERROR|CRITICAL):\s*(.+)$") +_PIPELINE_STATUS_MARKERS = ( + "gtsfm:", + "running vggt", + "gaussian", + "splat", + "partition", + "cluster optimization", + "bundle adjustment", + "image pair retrieval", + "sceneoptimizer", +) class RemoteInspectRequest(BaseModel): @@ -148,7 +160,9 @@ async def _discover_modal_endpoint(token_id: str, token_secret: str) -> dict[str """Find the deployed GTSFM web function in the token's default Modal environment.""" from modal.client import _Client - from modal.exception import AuthError, ConnectionError as ModalConnectionError, PermissionDeniedError + from modal.exception import AuthError + from modal.exception import ConnectionError as ModalConnectionError + from modal.exception import PermissionDeniedError from modal_proto import api_pb2 client = None @@ -185,7 +199,8 @@ async def _discover_modal_endpoint(token_id: str, token_secret: str) -> dict[str candidates.append((score, url, app_name or "gtsfm", function_name or "web")) if not candidates: raise ValueError( - "No deployed GTSFM web app was found in this Modal workspace. Deploy the GTSFM Modal app first, then try again." + "No deployed GTSFM web app was found in this Modal workspace. " + "Deploy the GTSFM Modal app first, then try again." ) _, endpoint, app_name, function_name = max(candidates, key=lambda item: item[0]) return {"endpoint": endpoint, "app_name": app_name, "function_name": function_name} @@ -293,6 +308,15 @@ def _live_state(manager: JobManager, resolved_base: Path, job_id: str) -> dict[s "stage": "pipeline", "progress": None, } + for raw_line in reversed(job.log_tail): + match = _LOG_LEVEL_MESSAGE.search(raw_line) + message = (match.group(1) if match else raw_line).strip() + lowered = message.lower() + if message and any(marker in lowered for marker in _PIPELINE_STATUS_MARKERS): + payload["message"] = message + break + if "message" not in payload: + payload["message"] = "Waiting for the reconstruction pipeline to report its first stage…" if status_path.exists(): try: loaded = json.loads(status_path.read_text(encoding="utf-8")) @@ -328,11 +352,16 @@ def _websocket_authorized(websocket: WebSocket) -> bool: return hmac.compare_digest(provided, expected) -def create_app(base_dir: Path | str = "results") -> FastAPI: +def create_app( + base_dir: Path | str = "results", + *, + job_manager: JobManager | None = None, + hardware_provider: Callable[[], dict[str, Any]] = detect_hardware, +) -> FastAPI: """Create an isolated FastAPI workspace for ``base_dir``.""" resolved_base = Path(base_dir).expanduser().resolve() - manager = JobManager(resolved_base) + manager = job_manager or JobManager(resolved_base) modal_deployments = ModalDeploymentManager( lambda token_id, token_secret: asyncio.run(_discover_modal_endpoint(token_id, token_secret)) ) @@ -368,6 +397,10 @@ def require_api_key(authorization: Annotated[str | None, Header()] = None) -> No def index() -> HTMLResponse: return HTMLResponse((TEMPLATE_ROOT / "index.html").read_text(encoding="utf-8")) + @app.get("/favicon.ico", include_in_schema=False) + def favicon() -> FileResponse: + return FileResponse(STATIC_ROOT / "brand" / "bee-favicon.png", media_type="image/png") + @app.get("/api/scenes") def list_scenes() -> dict[str, Any]: scenes = find_scenes(resolved_base) @@ -388,7 +421,7 @@ def get_configuration() -> dict[str, Any]: @app.get("/api/hardware") def get_hardware() -> dict[str, Any]: - return detect_hardware() + return hardware_provider() @app.get("/api/setup") def get_setup_status() -> dict[str, Any]: @@ -519,7 +552,7 @@ async def discover_modal_endpoint(payload: ModalDiscoverRequest) -> dict[str, st raise HTTPException(status_code=400, detail="Enter a valid Modal token ID and token secret") try: discovered = await _discover_modal_endpoint(payload.token_id, payload.token_secret) - discovered["api_key"] = modal_remote_api_key(payload.token_id, payload.token_secret) + discovered["api_key"] = modal_workspace_api_key(payload.token_id, payload.token_secret) return discovered except ValueError as exc: raise HTTPException(status_code=400, detail=str(exc)) from exc diff --git a/visualization/frontend/src/main.tsx b/visualization/frontend/src/main.tsx index f0bf5b4a6..8b70ffb3e 100644 --- a/visualization/frontend/src/main.tsx +++ b/visualization/frontend/src/main.tsx @@ -157,6 +157,7 @@ interface SetupStatus { interface RemoteWorkspace { configuration: ConfigurationSchema; hardware: HardwareCatalog; + verified?: boolean; } interface ModalDiscovery { @@ -230,7 +231,7 @@ function ModalDeploymentDialog({ deployment, onCancel, onClose }: { deployment:
MODAL SETUP & DEPLOYMENT{deployment.stage}
{deployment.gpu}{deployment.cpu ? ` · ${deployment.cpu} CPU` : ""}{deployment.memory_mb ? ` · ${formatBytes(deployment.memory_mb * 1024 * 1024)}` : ""} · {deployment.status} - {["queued", "running"].includes(deployment.status) && } + {["queued", "running"].includes(deployment.status) && deployment.phase !== "verifying" && }
@@ -242,21 +243,23 @@ function ModalDeploymentDialog({ deployment, onCancel, onClose }: { deployment: const MODAL_WORKSPACE_STEPS = [ { id: "building", label: "Prepare CUDA image", detail: "Install and cache the GTSFM environment" }, { id: "deploying", label: "Deploy workspace", detail: "Publish the FastAPI workspace on Modal" }, - { id: "verifying", label: "Verify connection", detail: "Find the endpoint and check availability" }, + { id: "verifying", label: "Start & verify workspace", detail: "Cold-start the GPU and confirm the workspace API is healthy" }, ] as const; function ModalDeploymentProgress({ deployment, onCancel, onExpand }: { deployment: ModalDeployment; onCancel: () => void; onExpand: () => void }) { - const currentPhase = deployment.phase === "ready" ? "verifying" : deployment.phase ?? "building"; + const ready = deployment.phase === "ready"; + const verifying = deployment.phase === "verifying"; + const currentPhase = ready ? "verifying" : deployment.phase ?? "building"; const currentIndex = Math.max(0, MODAL_WORKSPACE_STEPS.findIndex((step) => step.id === currentPhase)); const imageDetail = deployment.image_source === "prebuilt" ? "Pull the versioned GTSFM runtime; no package installation" : "Install and cache the GTSFM environment"; return
-
{deployment.status === "completed" ? : deployment.status === "failed" ? : deployment.status === "cancelled" ? : }{deployment.stage}{deployment.image_source === "prebuilt" ? "PREBUILT" : "SOURCE"} · {deployment.gpu}{["queued", "running"].includes(deployment.status) && }
+
{ready ? : deployment.status === "failed" ? : deployment.status === "cancelled" ? : }{deployment.stage}{deployment.image_source === "prebuilt" ? "PREBUILT" : "SOURCE"} · {deployment.gpu}{["queued", "running"].includes(deployment.status) && !verifying && }
    {MODAL_WORKSPACE_STEPS.map((step, index) => { - const complete = deployment.status === "completed" || index < currentIndex; - const active = deployment.status !== "completed" && index === currentIndex; + const complete = ready || index < currentIndex; + const active = !ready && index === currentIndex; const failed = active && deployment.status === "failed"; const cancelled = active && deployment.status === "cancelled"; return
  1. @@ -265,10 +268,27 @@ function ModalDeploymentProgress({ deployment, onCancel, onExpand }: { deploymen
    2. ; })}
- {deployment.log_tail.length > 0 && 
{deployment.log_tail.slice(-4).join("\n")}
} +
LIVE SETUP LOGS
+ 
{deployment.log_tail.slice(-6).join("\n") || "Waiting for Modal setup output…"}
; } +type ModalWorkspaceReadiness = "idle" | "found" | "working" | "ready" | "attention"; + +function ModalWorkspaceStatus({ state, detail }: { state: ModalWorkspaceReadiness; detail: string }) { + const title = { + idle: "Workspace setup required", + found: "Modal workspace found", + working: "Preparing Modal workspace", + ready: "Modal workspace ready", + attention: "Workspace needs attention", + }[state]; + return
+ +
{title}{detail}
+
; +} + interface JobEvent { job: Job; live: LiveState; @@ -295,6 +315,7 @@ interface JobsResponse { interface LiveState { progress?: number; stage?: string; + message?: string; step?: number; max_steps?: number; loss?: number; @@ -364,7 +385,7 @@ interface FolderFile { interface ViewerApi { isBusy(): boolean; - loadSplatsFile(input: { splatsUrl: string; label: string }): Promise; + loadSplatsFile(input: { splatsUrl: string; label: string }): Promise; } declare global { @@ -877,6 +898,7 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh const [modalDiscovering, setModalDiscovering] = useState(false); const [remoteChecking, setRemoteChecking] = useState(false); const [modalDeploying, setModalDeploying] = useState(false); + const [modalWorkspaceIssue, setModalWorkspaceIssue] = useState(false); const [modalDeployment, setModalDeployment] = useState(null); const [modalLogExpanded, setModalLogExpanded] = useState(false); const [advanced, setAdvanced] = useState(false); @@ -951,12 +973,38 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh { id: "aws", label: "AWS EC2 — Coming Soon!", status: "coming-soon" }, ]; + const useDeployedModalWorkspace = (gpu: string) => { + const gpuInfo = MODAL_GPU_PRICING.find((item) => item.id === gpu); + const workspace: RemoteWorkspace = { + configuration: schema, + verified: false, + hardware: { + summary: `Modal ${gpu} workspace`, + devices: [{ + id: "cuda:0", + kind: "cuda", + label: `Modal ${gpu}`, + details: "NVIDIA CUDA GPU · starts with the first reconstruction", + memory: gpuInfo ? `${gpuInfo.memoryGiB} GB` : undefined, + supports_gaussian_splatting: true, + }], + }, + }; + setRemote(workspace); + set("remote_hardware", "cuda:0"); + return workspace; + }; + useEffect(() => { if (!modalGpuRecommendation) return; - setForm((current) => current.modal_gpu === modalGpuRecommendation.gpu.id - ? current - : { ...current, modal_gpu: modalGpuRecommendation.gpu.id }); - }, [modalGpuRecommendation?.gpu.id, modalRecommendationKey]); + if (form.modal_gpu === modalGpuRecommendation.gpu.id) return; + set("modal_gpu", modalGpuRecommendation.gpu.id); + if (form.remote_endpoint) { + setRemote(null); + setModalWorkspaceIssue(true); + setRemoteMessage("The dataset changed the recommended VM. Update the Modal workspace to apply it, then verify readiness."); + } + }, [modalGpuRecommendation?.gpu.id, modalRecommendationKey, form.modal_gpu, form.remote_endpoint]); useEffect(() => { setForm((current) => ({ @@ -975,7 +1023,13 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh }, [form.execution_target, selectedSample, preparedSample?.path]); const updateModalCredential = (field: "modal_token_id" | "modal_token_secret", value: string) => { + modalDiscoverySequence.current += 1; + setModalDiscovering(false); + setRemoteChecking(false); const parsed = parseModalTokenCommand(value); + setRemote(null); + setModalWorkspaceIssue(false); + setRemoteMessage(""); if (parsed) { setForm((current) => ({ ...current, modal_token_id: parsed.tokenId, modal_token_secret: parsed.tokenSecret, modal_api_key: "" })); setModalTokenMessage("Token command parsed. Both fields are filled."); @@ -985,6 +1039,13 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh setModalTokenMessage(""); }; + const updateModalGpu = (value: string) => { + set("modal_gpu", value); + setRemote(null); + setModalWorkspaceIssue(Boolean(form.remote_endpoint)); + setRemoteMessage("VM selection changed. Update the Modal workspace to apply it, then verify readiness."); + }; + useEffect(() => { if (form.execution_target !== "remote" || form.remote_connection !== "api" || form.remote_provider !== "modal") return; if (!form.modal_token_id.startsWith("ak-") || !form.modal_token_secret.startsWith("as-")) return; @@ -1006,9 +1067,14 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh return { ...current, remote_endpoint: discovered.endpoint, modal_api_key: discovered.api_key }; }); automaticModalEndpoint.current = discovered.endpoint; - setRemoteMessage(`Found ${discovered.app_name} · ${discovered.function_name}. Endpoint filled automatically.`); + useDeployedModalWorkspace(form.modal_gpu); + setModalWorkspaceIssue(false); + setRemoteMessage(`Found ${discovered.app_name} · ${discovered.function_name}. Update it to this GTSFM version, or verify the existing workspace.`); } catch (reason) { - if (sequence === modalDiscoverySequence.current) setRemoteMessage(errorMessage(reason)); + if (sequence === modalDiscoverySequence.current) { + setModalWorkspaceIssue(true); + setRemoteMessage(errorMessage(reason)); + } } finally { if (sequence === modalDiscoverySequence.current) setModalDiscovering(false); } @@ -1020,14 +1086,14 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh if (form.splat_implementation === "gsplat" && model && !capabilities.iterative_splat) set("splat_implementation", "none"); }, [form.splat_implementation, model, capabilities.iterative_splat]); - const inspectRemote = async (endpoint: string, apiKey: string) => { + async function inspectRemote(endpoint: string, apiKey: string) { const payload = await getJson("/api/remote/inspect", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ endpoint, api_key: apiKey, remote_provider: form.remote_provider }) }); - setRemote(payload); + setRemote({ ...payload, verified: true }); const gsDevice = payload.hardware.devices.find((item) => item.supports_gaussian_splatting); set("remote_hardware", gsDevice?.id ?? payload.hardware.devices[0]?.id ?? ""); return payload; - }; + } const connectRemote = async () => { if (form.remote_connection !== "api") { @@ -1039,12 +1105,16 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh return; } setRemoteChecking(true); - setRemoteMessage("Connecting…"); + setModalWorkspaceIssue(false); + setRemote((current) => current ? { ...current, verified: false } : null); + setRemoteMessage("Checking the lightweight Modal control service…"); try { const payload = await inspectRemote(form.remote_endpoint, modalBearerToken(form)); - setRemoteMessage(`${payload.hardware.summary}. Modal connection is healthy and workspace options are up to date.`); + setModalWorkspaceIssue(false); + setRemoteMessage(`${payload.hardware.summary}. The control service is ready; the GPU stays off until you run a reconstruction.`); } catch (reason) { - setRemoteMessage(errorMessage(reason)); + setModalWorkspaceIssue(true); + setRemoteMessage(`Workspace check failed. Update the Modal workspace before running. ${errorMessage(reason)}`); } finally { setRemoteChecking(false); } @@ -1057,6 +1127,7 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh } modalDiscoverySequence.current += 1; setModalDeploying(true); + setModalWorkspaceIssue(false); setRemote(null); setRemoteMessage(""); try { @@ -1084,11 +1155,48 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh if (deployment.status === "failed") throw new Error(deployment.error || "Modal deployment failed"); automaticModalEndpoint.current = deployment.endpoint; setForm((current) => ({ ...current, remote_endpoint: deployment.endpoint, modal_api_key: deployment.api_key })); - setRemoteMessage("Workspace deployed. Loading its GPU and pipeline catalog…"); - const payload = await inspectRemote(deployment.endpoint, deployment.api_key); - setRemoteMessage(`${payload.hardware.summary}. Modal workspace is ready.`); + useDeployedModalWorkspace(deployment.gpu); + setModalDeployment({ + ...deployment, + status: "running", + phase: "verifying", + stage: "Starting and verifying the Modal workspace", + log_tail: [...deployment.log_tail, `Registered endpoint ${deployment.endpoint}`, "Checking the CPU control service; the GPU remains off until a run starts…"], + }); + setRemoteChecking(true); + try { + await inspectRemote(deployment.endpoint, deployment.api_key); + } catch (reason) { + const message = `Deployment finished, but the workspace health check failed: ${errorMessage(reason)}`; + setRemote((current) => current ? { ...current, verified: false } : null); + setModalWorkspaceIssue(true); + setModalDeployment({ + ...deployment, + status: "failed", + phase: "verifying", + stage: "Modal workspace needs an update", + error: message, + log_tail: [...deployment.log_tail, `Registered endpoint ${deployment.endpoint}`, message], + }); + throw new Error(message); + } finally { + setRemoteChecking(false); + } + setModalDeployment({ + ...deployment, + phase: "ready", + stage: "Modal workspace ready", + log_tail: [ + ...deployment.log_tail, + `Registered endpoint ${deployment.endpoint}`, + "Workspace health check passed. The Modal GPU is ready.", + ], + }); + setModalWorkspaceIssue(false); + setRemoteMessage(`Modal ${deployment.gpu} workspace passed its health check and is ready to run.`); } catch (reason) { const message = errorMessage(reason); + setModalWorkspaceIssue(true); setRemoteMessage(/Request failed \(404\)/.test(message) ? "This GTSFM server was started before Modal deployment support was installed. Stop it with Ctrl-C, run `gtsfm run` again, then click Deploy." : message); @@ -1142,6 +1250,9 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh if (form.execution_target === "remote" && form.remote_connection === "ssh") { throw new Error("SSH execution is not available yet. Choose API to run on Modal."); } + if (form.execution_target === "remote" && form.remote_provider === "modal" && !remote?.verified) { + throw new Error("The Modal workspace must pass its health check before a reconstruction can start."); + } const payload = { ...form, api_key: form.execution_target === "remote" ? modalBearerToken(form) : "", loader_options: loaderOptions, hardware: form.execution_target === "remote" ? form.remote_hardware : form.hardware, max_resolution: form.max_resolution ? Number(form.max_resolution) : null, @@ -1155,6 +1266,33 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh } catch (reason) { setError(errorMessage(reason)); } finally { setBusy(false); } }; + const modalWorkspaceSelected = form.execution_target === "remote" && form.remote_connection === "api" && form.remote_provider === "modal"; + const modalWorkspaceState: ModalWorkspaceReadiness = remote?.verified + ? "ready" + : modalDeploying || modalDiscovering || remoteChecking + ? "working" + : modalWorkspaceIssue + ? "attention" + : form.remote_endpoint + ? "found" + : "idle"; + const modalWorkspaceDetail = remoteMessage || { + idle: "Enter Modal credentials, then deploy or discover a workspace.", + found: "Choose Update to apply this GTSFM version, or verify the existing deployment.", + working: "Preparing the lightweight control service. The GPU starts only when a reconstruction runs.", + ready: "Health checks passed. Reconstruction can start.", + attention: "Update or verify this workspace before starting a run.", + }[modalWorkspaceState]; + const modalActionLabel = modalDeploying + ? modalDeployment?.phase === "verifying" ? "Starting & verifying Modal workspace…" : "Setting up Modal workspace…" + : modalDiscovering + ? "Finding Modal workspace…" + : remoteChecking + ? "Starting & verifying Modal workspace…" + : modalWorkspaceSelected && !remote?.verified + ? "Prepare Modal workspace first" + : "Run reconstruction"; + return
NEW RECONSTRUCTION {schemaLoading ? Syncing workspace options… @@ -1219,9 +1357,9 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh { set("remote_provider", value); setRemote(null); }} /> {form.remote_provider === "modal" &&
M
ModalConnect with your Modal account token
AVAILABLE
- set("modal_gpu", value)} /> + { - if (modalGpuRecommendation) set("modal_gpu", modalGpuRecommendation.gpu.id); + if (modalGpuRecommendation) updateModalGpu(modalGpuRecommendation.gpu.id); }}/>

Enter the two values separately, or paste the complete modal token set --token-id … --token-secret … command into either field.

@@ -1230,12 +1368,17 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh updateModalCredential("modal_token_secret", value)} autoComplete="new-password" spellCheck={false} placeholder="as-…" />
{modalTokenMessage &&
{modalTokenMessage}
} - set("remote_endpoint", value)} placeholder={modalDiscovering ? "Discovering your Modal endpoint…" : "Filled after credentials are verified"} /> + { + set("remote_endpoint", value); + setRemote(null); + setModalWorkspaceIssue(false); + setRemoteMessage("Endpoint changed. Start and verify this workspace before running."); + }} placeholder={modalDiscovering ? "Discovering your Modal endpoint…" : "Filled after credentials are verified"} /> {modalDeployment && setModalLogExpanded(true)}/>} {modalDeployment && modalLogExpanded && setModalLogExpanded(false)}/>} - {form.remote_endpoint && form.modal_api_key && } -
{remoteMessage}
+ {form.remote_endpoint && form.modal_api_key && } + {remote && set("remote_hardware", value)} />}
} :
@@ -1291,7 +1434,7 @@ function RunForm({ schema, hardware, samples, samplesLoading, onStarted, onTabCh
{error}
- + ; } @@ -1319,7 +1462,7 @@ function ActivityPanel({ jobs, activeId, onSelect, onCancel, onRefresh }: Activi
{job.name}{statusLabel(job.status)}
{displayName(job.spec.config_name || "GTSFM")} · {displayName(job.spec.splat_implementation || "no_splats")} {job.error &&

{job.error}

} -
+
{["queued", "running"].includes(job.status) && } {job.status === "completed" && !job.remote && View results} {job.remote?.workspace_url && Remote results ↗} @@ -1344,13 +1487,93 @@ interface StatusBarProps { onClose: () => void; } +interface StatusBarPosition { + left: number; + top: number; + width: number; +} + function StatusBar({ job, live, logsOpen, setLogsOpen, visible, onCancel, onClose }: StatusBarProps) { + const barRef = useRef(null); + const dragStart = useRef<{ + pointerX: number; + pointerY: number; + left: number; + top: number; + width: number; + maxLeft: number; + maxTop: number; + } | null>(null); + const [position, setPosition] = useState(null); + const [dragging, setDragging] = useState(false); + + useEffect(() => { + const bar = barRef.current; + const container = bar?.parentElement; + if (!bar || !container || typeof ResizeObserver === "undefined") return; + const keepInBounds = () => setPosition((current) => { + if (!current) return null; + const containerRect = container.getBoundingClientRect(); + const width = Math.min(current.width, containerRect.width); + const height = bar.getBoundingClientRect().height; + return { + left: Math.max(0, Math.min(containerRect.width - width, current.left)), + top: Math.max(0, Math.min(containerRect.height - height, current.top)), + width, + }; + }); + const observer = new ResizeObserver(keepInBounds); + observer.observe(container); + return () => observer.disconnect(); + }, []); + + const beginDrag = (event: React.PointerEvent) => { + if ((event.target as HTMLElement).closest("button, a, input, select")) return; + const bar = barRef.current; + const container = bar?.parentElement; + if (!bar || !container || event.button !== 0) return; + event.preventDefault(); + event.currentTarget.setPointerCapture(event.pointerId); + const barRect = bar.getBoundingClientRect(); + const containerRect = container.getBoundingClientRect(); + const start = { + pointerX: event.clientX, + pointerY: event.clientY, + left: barRect.left - containerRect.left, + top: barRect.top - containerRect.top, + width: barRect.width, + maxLeft: Math.max(0, containerRect.width - barRect.width), + maxTop: Math.max(0, containerRect.height - barRect.height), + }; + dragStart.current = start; + setPosition({ left: start.left, top: start.top, width: start.width }); + setDragging(true); + }; + + const moveDrag = (event: React.PointerEvent) => { + const start = dragStart.current; + if (!start) return; + setPosition({ + left: Math.max(0, Math.min(start.maxLeft, start.left + event.clientX - start.pointerX)), + top: Math.max(0, Math.min(start.maxTop, start.top + event.clientY - start.pointerY)), + width: start.width, + }); + }; + + const finishDrag = (event: React.PointerEvent) => { + if (!dragStart.current) return; + dragStart.current = null; + setDragging(false); + if (event.currentTarget.hasPointerCapture(event.pointerId)) event.currentTarget.releasePointerCapture(event.pointerId); + }; + if (!job || !visible) return null; const progress = typeof live?.progress === "number" && Number.isFinite(live.progress) ? live.progress : job.status === "completed" ? 1 : 0; const loss = typeof live?.loss === "number" && Number.isFinite(live.loss) ? `loss ${live.loss.toFixed(4)}` : ""; const splatCount = typeof live?.splat_count === "number" && Number.isFinite(live.splat_count) ? `${live.splat_count.toLocaleString()} splats` : ""; - return
-
{job.name} · {statusLabel(job.status)}{job.error || (live?.stage === "gaussian_splatting" ? "Optimizing Gaussian splats" : "Running reconstruction pipeline")}
+ const style = position ? { left: position.left, top: position.top, width: position.width, right: "auto", bottom: "auto" } : undefined; + return
+
setPosition(null)}>
{job.name} · {statusLabel(job.status)}{job.error || (live?.stage === "gaussian_splatting" ? "Optimizing Gaussian splats" : "Running reconstruction pipeline")}
{live?.max_steps ? `${Number(live.step).toLocaleString()} / ${Number(live.max_steps).toLocaleString()} steps` : ""}{loss}{splatCount}
{job.has_final_splat && }{["queued", "running"].includes(job.status) && }
@@ -1378,6 +1601,8 @@ interface LogPanelGeometry { height: number; } +type LogResizeCorner = "nw" | "ne" | "sw" | "se"; + function LogPanel({ open, lines, onClose }: { open: boolean; lines: string[]; onClose: () => void }) { const panelRef = useRef(null); const copyReset = useRef(null); @@ -1430,7 +1655,7 @@ function LogPanel({ open, lines, onClose }: { open: boolean; lines: string[]; on window.addEventListener("pointercancel", finish, { once: true }); }; - const beginResize = (event: React.PointerEvent) => { + const beginResize = (corner: LogResizeCorner) => (event: React.PointerEvent) => { const panel = panelRef.current; const container = panel?.parentElement; if (!panel || !container) return; @@ -1446,13 +1671,27 @@ function LogPanel({ open, lines, onClose }: { open: boolean; lines: string[]; on top: panelRect.top - containerRect.top, right: panelRect.right - containerRect.left, bottom: panelRect.bottom - containerRect.top, + containerWidth: containerRect.width, + containerHeight: containerRect.height, }; setGeometry({ left: start.left, top: start.top, width: panelRect.width, height: panelRect.height }); const move = (moveEvent: PointerEvent) => { - const left = Math.max(0, Math.min(start.right - 300, start.left + moveEvent.clientX - start.pointerX)); - const top = Math.max(0, Math.min(start.bottom - 150, start.top + moveEvent.clientY - start.pointerY)); - setGeometry({ left, top, width: start.right - left, height: start.bottom - top }); + const dx = moveEvent.clientX - start.pointerX; + const dy = moveEvent.clientY - start.pointerY; + const left = corner.includes("w") + ? Math.max(0, Math.min(start.right - 300, start.left + dx)) + : start.left; + const right = corner.includes("e") + ? Math.min(start.containerWidth, Math.max(start.left + 300, start.right + dx)) + : start.right; + const top = corner.includes("n") + ? Math.max(0, Math.min(start.bottom - 150, start.top + dy)) + : start.top; + const bottom = corner.includes("s") + ? Math.min(start.containerHeight, Math.max(start.top + 150, start.bottom + dy)) + : start.bottom; + setGeometry({ left, top, width: right - left, height: bottom - top }); }; const finish = () => { window.removeEventListener("pointermove", move); @@ -1465,9 +1704,20 @@ function LogPanel({ open, lines, onClose }: { open: boolean; lines: string[]; on }; if (!open) return null; - const style = geometry ? { left: geometry.left, top: geometry.top, width: geometry.width, height: geometry.height, right: "auto", bottom: "auto" } : undefined; + const logFontSize = geometry + ? Math.max(8, Math.min(16, 9 + (geometry.width - 420) / 140 + (geometry.height - 240) / 120)) + : 9; + const style = geometry ? ({ + left: geometry.left, + top: geometry.top, + width: geometry.width, + height: geometry.height, + right: "auto", + bottom: "auto", + "--log-font-size": `${logFontSize}px`, + } as React.CSSProperties) : undefined; return
- 
{lines.join("\n")}
; @@ -1544,9 +1794,26 @@ function DaskStats({ job, live }: { job: Job; live: LiveState | null }) { ; } +function pipelineStatusMessage(job: Job, live: LiveState | null): string { + if (live?.stage === "gaussian_splatting") { + const step = Number(live.step || 0); + const maxSteps = Number(live.max_steps || 0); + return maxSteps > 0 + ? `GTSFM: Optimizing Gaussian splats · ${step.toLocaleString()} / ${maxSteps.toLocaleString()} steps` + : "GTSFM: Initializing Gaussian optimization…"; + } + if (live?.message) return live.message; + if (job.status === "queued") return job.remote ? "Waiting for the Modal GPU worker…" : "Waiting for the reconstruction worker…"; + const latestStatus = [...(job.log_tail || [])].reverse().find((line) => /GTSFM|partition|VGGT|Gaussian|splat/i.test(line)); + return latestStatus?.replace(/^.*?\b(?:DEBUG|INFO|WARNING|ERROR|CRITICAL):\s*/, "") || "GTSFM: Preparing the reconstruction pipeline…"; +} + function Viewer({ activeJob, live, logsOpen, setLogsOpen, statusBarOpen, setStatusBarOpen, onCancelJob, setup, setupRefreshing, onRefreshSetup, onSetupChange }: ViewerProps) { const closeStatus = () => { setStatusBarOpen(false); setLogsOpen(false); }; - const showDaskStats = Boolean(activeJob && !activeJob.remote && ["queued", "running"].includes(activeJob.status)); + const showDaskStats = Boolean(activeJob && ["queued", "running"].includes(activeJob.status)); + const expectsSplats = Boolean(activeJob && (activeJob.spec.splat_implementation || "none") !== "none"); + const visualizationAvailable = Boolean(live?.preview_url || live?.final_url || activeJob?.has_final_splat); + const showPipelineWait = Boolean(activeJob && expectsSplats && ["queued", "running"].includes(activeJob.status) && !visualizationAvailable); return
Cameras0
Points0
Image—
Splats0
{showDaskStats && activeJob && }
@@ -1554,6 +1821,7 @@ function Viewer({ activeJob, live, logsOpen, setLogsOpen, statusBarOpen, setStat
setLogsOpen(false)} /> + {showPipelineWait && activeJob &&
RECONSTRUCTION IN PROGRESS{pipelineStatusMessage(activeJob, live)}The first live Gaussian preview will appear here automatically.
}
Loading…
; } @@ -1604,8 +1872,29 @@ function HardwareWarning({ hardware, onClose, onUseRemote }: { hardware: Hardwar ; } +const SIDEBAR_WIDTH_KEY = "gtsfm-studio-sidebar-width"; +const SIDEBAR_MIN_WIDTH = 320; +const SIDEBAR_MAX_WIDTH = 760; + +function constrainSidebarWidth(width: number): number { + const viewerRoom = Math.max(SIDEBAR_MIN_WIDTH, window.innerWidth - 360); + return Math.round(Math.min(SIDEBAR_MAX_WIDTH, viewerRoom, Math.max(SIDEBAR_MIN_WIDTH, width))); +} + +function storedSidebarWidth(): number { + try { + const saved = Number(window.localStorage.getItem(SIDEBAR_WIDTH_KEY)); + return constrainSidebarWidth(Number.isFinite(saved) && saved > 0 ? saved : 420); + } catch { + return 420; + } +} + function App() { const [sidebarCollapsed, setSidebarCollapsed] = useState(false); + const [sidebarWidth, setSidebarWidth] = useState(storedSidebarWidth); + const [sidebarResizing, setSidebarResizing] = useState(false); + const sidebarResizeStart = useRef<{ pointerX: number; width: number } | null>(null); const [tab, setTab] = useState(new URLSearchParams(location.search).get("view") === "results" ? "results" : "run"); const [schema, setSchema] = useState(BOOTSTRAP_SCHEMA); const [schemaLoading, setSchemaLoading] = useState(true); @@ -1622,9 +1911,52 @@ function App() { const [statusBarOpen, setStatusBarOpen] = useState(true); const [hardwareWarningDismissed, setHardwareWarningDismissed] = useState(false); const [remotePromptKey, setRemotePromptKey] = useState(0); + const [viewerLoadRequest, setViewerLoadRequest] = useState(0); const previewVersion = useRef(null); const finalLoaded = useRef(null); + const finishSidebarResize = useCallback(() => { + sidebarResizeStart.current = null; + setSidebarResizing(false); + document.body.classList.remove("sidebar-is-resizing"); + }, []); + + const startSidebarResize = (event: React.PointerEvent) => { + if (sidebarCollapsed || event.button !== 0) return; + event.preventDefault(); + sidebarResizeStart.current = { pointerX: event.clientX, width: sidebarWidth }; + event.currentTarget.setPointerCapture(event.pointerId); + setSidebarResizing(true); + document.body.classList.add("sidebar-is-resizing"); + }; + + const moveSidebarResize = (event: React.PointerEvent) => { + const start = sidebarResizeStart.current; + if (!start) return; + setSidebarWidth(constrainSidebarWidth(start.width + event.clientX - start.pointerX)); + }; + + const resizeSidebarWithKeyboard = (event: React.KeyboardEvent) => { + if (event.key === "ArrowLeft" || event.key === "ArrowRight") { + event.preventDefault(); + const direction = event.key === "ArrowRight" ? 1 : -1; + setSidebarWidth((current) => constrainSidebarWidth(current + direction * (event.shiftKey ? 40 : 10))); + } else if (event.key === "Home") { + event.preventDefault(); + setSidebarWidth(420); + } + }; + + useEffect(() => () => document.body.classList.remove("sidebar-is-resizing"), []); + useEffect(() => { + try { window.localStorage.setItem(SIDEBAR_WIDTH_KEY, String(sidebarWidth)); } catch { /* storage is optional */ } + }, [sidebarWidth]); + useEffect(() => { + const keepSidebarOnScreen = () => setSidebarWidth((current) => constrainSidebarWidth(current)); + window.addEventListener("resize", keepSidebarOnScreen); + return () => window.removeEventListener("resize", keepSidebarOnScreen); + }, []); + const refreshJobs = useCallback(async () => { try { const payload = await getJson("/api/jobs"); setJobs(payload.items || []); setActiveId((current) => current || payload.items?.find((job) => ["queued", "running"].includes(job.status))?.id || null); } catch (reason) { console.warn("Unable to refresh jobs", reason); } }, []); @@ -1679,37 +2011,69 @@ function App() { }, []); useEffect(() => { - if (!activeJob || activeJob.remote) { setLive(null); return; } + if (!activeJob) { setLive(null); return; } + setLive(null); const socket = new WebSocket(websocketUrl(`/api/events/jobs/${encodeURIComponent(activeJob.id)}`)); - socket.onmessage = async (event) => { + socket.onmessage = (event) => { const payload = JSON.parse(event.data) as JobEvent; setJobs((current) => current.map((job) => job.id === payload.job.id ? payload.job : job)); setLive(payload.live); + }; + return () => socket.close(); + }, [activeJob?.id]); + + useEffect(() => { + if (!activeJob || !live) return; + const finalKey = activeJob.status === "completed" && live.final_url ? `${activeJob.id}:${live.final_url}` : null; + const previewKey = live.preview_url ? `${activeJob.id}:${String(live.preview_version ?? live.preview_url)}` : null; + const desired = finalKey + ? { kind: "final" as const, key: finalKey, url: live.final_url as string, label: `${activeJob.name} · final` } + : previewKey + ? { kind: "preview" as const, key: previewKey, url: live.preview_url as string, label: `${activeJob.name} · live` } + : null; + if (!desired) return; + if (desired.kind === "final" && finalLoaded.current === desired.key) return; + if (desired.kind === "preview" && previewVersion.current === desired.key) return; + + let cancelled = false; + let retry: number | null = null; + let loadFailures = 0; + const tryLoad = async () => { + if (cancelled) return; const viewer = window.gtsfmViewer; - if (payload.live.preview_url && payload.live.preview_version !== previewVersion.current && viewer && !viewer.isBusy()) { - previewVersion.current = payload.live.preview_version ?? null; - await viewer.loadSplatsFile({ splatsUrl: payload.live.preview_url, label: `${payload.job.name} · live` }); + if (!viewer || viewer.isBusy()) { + retry = window.setTimeout(() => { void tryLoad(); }, 250); + return; } - if (payload.job.status === "completed" && payload.live.final_url && finalLoaded.current !== payload.job.id && viewer && !viewer.isBusy()) { - finalLoaded.current = payload.job.id; - await viewer.loadSplatsFile({ splatsUrl: payload.live.final_url, label: `${payload.job.name} · final` }); + const loaded = await viewer.loadSplatsFile({ splatsUrl: desired.url, label: desired.label }); + if (cancelled) return; + if (loaded === false) { + loadFailures += 1; + if (loadFailures < 3) retry = window.setTimeout(() => { void tryLoad(); }, 1200); + return; } + if (desired.kind === "final") finalLoaded.current = desired.key; + else previewVersion.current = desired.key; }; - return () => socket.close(); - }, [activeJob?.id]); + void tryLoad(); + return () => { + cancelled = true; + if (retry !== null) window.clearTimeout(retry); + }; + }, [activeJob?.id, activeJob?.status, live?.final_url, live?.preview_url, live?.preview_version, viewerLoadRequest]); const cancelJob = async (id: string) => { await fetch(`/api/jobs/${encodeURIComponent(id)}/cancel`, { method: "POST" }); await refreshJobs(); }; const activeCount = jobs.filter((job) => ["queued", "running"].includes(job.status)).length; const hasNvidiaSplatSupport = hardware?.devices.some((device) => device.supports_gaussian_splatting && (!device.status || device.status === "available")) ?? false; const showHardwareWarning = Boolean(hardware && !hasNvidiaSplatSupport && !hardwareWarningDismissed); const useRemoteVm = () => { setHardwareWarningDismissed(true); setTab("run"); setRemotePromptKey((current) => current + 1); }; - return
{showHardwareWarning && hardware && setHardwareWarningDismissed(true)} onUseRemote={useRemoteVm}/>}
; } const root = document.getElementById("root"); diff --git a/visualization/frontend/src/styles.css b/visualization/frontend/src/styles.css index 3d6fc5534..1b47e28cb 100644 --- a/visualization/frontend/src/styles.css +++ b/visualization/frontend/src/styles.css @@ -66,8 +66,8 @@ button { position: relative; z-index: 10; display: flex; - flex: 0 0 420px; - min-width: 360px; + flex: 0 0 var(--sidebar-width, 420px); + min-width: 320px; flex-direction: column; overflow: hidden; background: var(--paper); @@ -75,6 +75,50 @@ button { transition: flex-basis 180ms ease, min-width 180ms ease; } +#sidebar.sidebar-resizing { + transition: none; +} + +.sidebar-resize-handle { + position: absolute; + z-index: 20; + top: 0; + right: 0; + bottom: 0; + width: 9px; + touch-action: none; + cursor: col-resize; + outline: 0; +} + +.sidebar-resize-handle::after { + position: absolute; + top: 0; + right: 0; + bottom: 0; + width: 2px; + background: var(--accent); + content: ""; + opacity: 0; + transition: opacity 120ms ease; +} + +.sidebar-resize-handle:hover::after, +.sidebar-resize-handle:focus-visible::after, +.sidebar-resizing .sidebar-resize-handle::after { + opacity: 1; +} + +.sidebar-collapsed .sidebar-resize-handle { + display: none; +} + +body.sidebar-is-resizing, +body.sidebar-is-resizing * { + cursor: col-resize !important; + user-select: none !important; +} + #sidebar.sidebar-collapsed { flex-basis: 0; min-width: 0; @@ -167,8 +211,7 @@ button { backdrop-filter: blur(8px); } -.sidebar-collapsed + #main-content #sceneStats, -.sidebar-collapsed + #main-content .run-status-bar { +.sidebar-collapsed + #main-content #sceneStats { left: 103px; } @@ -996,6 +1039,41 @@ input[type="checkbox"] { white-space: pre-wrap; } +.modal-deployment .modal-log-preview-heading { + display: flex; + margin-top: 1px; + padding: 0 1px; + align-items: center; + justify-content: space-between; +} + +.modal-log-preview-heading > span { + color: var(--ink-faint); + font-family: "SFMono-Regular", Consolas, monospace; + font-size: 6px; + font-weight: 700; + letter-spacing: 0.11em; +} + +.modal-log-preview-heading button { + display: inline-flex; + min-height: 22px; + padding: 0 5px; + align-items: center; + gap: 4px; + border: 0; + background: transparent; + color: var(--ink-soft); + font-size: 7px; + font-weight: 650; + cursor: pointer; +} + +.modal-log-preview-heading button:hover { + background: #deded7; + color: var(--ink); +} + .modal-log-backdrop { position: fixed; z-index: 80; @@ -1093,6 +1171,82 @@ input[type="checkbox"] { display: none; } +.modal-workspace-status { + display: grid; + min-height: 50px; + margin: 0 0 10px; + padding: 9px 10px; + grid-template-columns: 24px minmax(0, 1fr); + align-items: center; + gap: 8px; + border: 1px solid var(--line-dark); + background: #eeeeea; +} + +.modal-workspace-status > span { + display: grid; + width: 23px; + height: 23px; + place-items: center; + border: 1px solid currentColor; + border-radius: 50%; + color: var(--ink-soft); +} + +.modal-workspace-status > div { + display: grid; + gap: 2px; +} + +.modal-workspace-status strong { + color: var(--ink); + font-size: 9px; + font-weight: 700; +} + +.modal-workspace-status small { + color: var(--ink-soft); + font-size: 8px; + line-height: 1.45; +} + +.modal-workspace-status.working { + border-color: #d8bd85; + background: #f8f2e7; +} + +.modal-workspace-status.working > span { + color: #8d681e; +} + +.modal-workspace-status.found { + border-color: #aebbc2; + background: #eef2f3; +} + +.modal-workspace-status.found > span { + color: #536d79; +} + +.modal-workspace-status.ready { + border-color: #9ac5af; + background: #edf5f0; +} + +.modal-workspace-status.ready > span { + color: var(--success); +} + +.modal-workspace-status.attention { + border-color: #d4a3a3; + background: #faf0ef; +} + +.modal-workspace-status.attention > span, +.modal-workspace-status.attention strong { + color: var(--danger); +} + .field-help { margin: -5px 0 12px; color: var(--ink-soft); @@ -2151,9 +2305,10 @@ input[type="checkbox"] { .run-status-bar { position: absolute; z-index: 8; - top: 18px; right: 18px; - left: 18px; + bottom: 68px; + left: auto; + width: min(720px, calc(100% - 36px)); display: grid; min-height: 61px; grid-template-columns: 1.2fr 1fr auto; @@ -2164,6 +2319,7 @@ input[type="checkbox"] { border: 1px solid #373a3c; background: rgba(19, 21, 23, 0.94); color: #ecece7; + cursor: grab; } .status-copy { @@ -2172,6 +2328,27 @@ input[type="checkbox"] { gap: 10px; } +.status-drag-handle { + min-width: 0; + cursor: grab; + touch-action: none; + user-select: none; +} + +.status-metrics, +.run-progress-track { + touch-action: none; + user-select: none; +} + +.run-status-bar.is-dragging .status-drag-handle { + cursor: grabbing; +} + +.run-status-bar.is-dragging { + cursor: grabbing; +} + .status-copy > div { display: flex; flex-direction: column; @@ -2658,6 +2835,81 @@ input[type="checkbox"] { /* Logs and loading */ +.pipeline-wait-overlay { + position: absolute; + z-index: 4; + inset: 0; + display: flex; + align-items: center; + justify-content: center; + padding: 96px 28px 76px; + background: rgba(5, 6, 7, 0.42); + color: #ecece7; + pointer-events: none; + animation: pipeline-viewport-dim 2.6s ease-in-out infinite; +} + +.pipeline-wait-content { + display: grid; + width: min(560px, calc(100% - 48px)); + justify-items: center; + gap: 11px; + text-align: center; +} + +.pipeline-wait-content > span { + color: #858a89; + font: 650 8px/1.2 "SFMono-Regular", Consolas, monospace; + letter-spacing: 0.14em; +} + +.pipeline-wait-content strong { + max-width: 100%; + color: #f0f0eb; + font-size: clamp(15px, 2vw, 22px); + font-weight: 500; + line-height: 1.35; + text-wrap: balance; +} + +.pipeline-wait-content small { + color: #858a89; + font-size: 10px; +} + +.pipeline-wait-dots { + display: flex; + height: 6px; + align-items: center; + gap: 5px; +} + +.pipeline-wait-dots i { + display: block; + width: 3px; + height: 3px; + border-radius: 50%; + background: var(--accent); + animation: pipeline-dot 1.35s ease-in-out infinite; +} + +.pipeline-wait-dots i:nth-child(2) { + animation-delay: 160ms; +} + +.pipeline-wait-dots i:nth-child(3) { + animation-delay: 320ms; +} + +@keyframes pipeline-viewport-dim { + 50% { background-color: rgba(5, 6, 7, 0.57); } +} + +@keyframes pipeline-dot { + 0%, 70%, 100% { opacity: 0.22; transform: translateY(0); } + 35% { opacity: 1; transform: translateY(-2px); } +} + .hardware-warning { position: fixed; z-index: 30; @@ -2797,40 +3049,79 @@ input[type="checkbox"] { .log-resize-handle { position: absolute; - z-index: 2; - top: -1px; - left: -1px; + z-index: 4; width: 18px; height: 18px; border: 0; padding: 0; background: transparent; - cursor: nwse-resize; touch-action: none; } -.log-resize-handle::before, -.log-resize-handle::after { +.log-resize-handle::before { position: absolute; - top: 3px; - left: 3px; - background: #737879; + width: 8px; + height: 8px; + border-color: #737879; + border-style: solid; + border-width: 0; content: ""; } -.log-resize-handle::before { - width: 9px; - height: 1px; +.log-resize-handle.nw { + top: -1px; + left: -1px; + cursor: nwse-resize; } -.log-resize-handle::after { - width: 1px; - height: 9px; +.log-resize-handle.nw::before { + top: 4px; + left: 4px; + border-top-width: 1px; + border-left-width: 1px; } -.log-resize-handle:hover::before, -.log-resize-handle:hover::after { - background: var(--accent); +.log-resize-handle.ne { + top: -1px; + right: -1px; + cursor: nesw-resize; +} + +.log-resize-handle.ne::before { + top: 4px; + right: 4px; + border-top-width: 1px; + border-right-width: 1px; +} + +.log-resize-handle.sw { + bottom: -1px; + left: -1px; + cursor: nesw-resize; +} + +.log-resize-handle.sw::before { + bottom: 4px; + left: 4px; + border-bottom-width: 1px; + border-left-width: 1px; +} + +.log-resize-handle.se { + right: -1px; + bottom: -1px; + cursor: nwse-resize; +} + +.log-resize-handle.se::before { + right: 4px; + bottom: 4px; + border-right-width: 1px; + border-bottom-width: 1px; +} + +.log-resize-handle:hover::before { + border-color: var(--accent); } .log-header { @@ -2895,7 +3186,9 @@ input[type="checkbox"] { margin: 0; padding: 11px; color: #adb1af; - font: 9px/1.6 "SFMono-Regular", Consolas, monospace; + font-family: "SFMono-Regular", Consolas, monospace; + font-size: var(--log-font-size, 9px); + line-height: 1.6; cursor: text; user-select: text; white-space: pre-wrap; @@ -2950,7 +3243,7 @@ input[type="checkbox"] { @media (max-width: 900px) { #sidebar { - flex-basis: 380px; + flex-basis: var(--sidebar-width, 380px); } .status-metrics { @@ -2987,6 +3280,10 @@ input[type="checkbox"] { background: transparent; } + .sidebar-resize-handle { + display: none; + } + .sidebar-collapsed .studio-header { top: 10px; left: 10px; diff --git a/visualization/modal_app.py b/visualization/modal_app.py index 892db596b..214c930ea 100644 --- a/visualization/modal_app.py +++ b/visualization/modal_app.py @@ -53,7 +53,20 @@ } if RUNTIME_IMAGE: - image = modal.Image.from_registry(RUNTIME_IMAGE).entrypoint([]).env(RUNTIME_ENV) + image = ( + modal.Image.from_registry( + RUNTIME_IMAGE, + setup_dockerfile_commands=[ + # uv-created virtual environments intentionally omit pip, but + # Modal's legacy registry-image builder requires ``python -m + # pip`` while installing its runtime dependencies. + "RUN uv pip install --python /opt/gtsfm-venv/bin/python pip", + ], + ) + .entrypoint([]) + .env(RUNTIME_ENV) + .workdir("/root") + ) else: image = ( modal.Image.from_registry("nvidia/cuda:12.8.1-devel-ubuntu22.04", add_python="3.12") diff --git a/visualization/modal_deployment.py b/visualization/modal_deployment.py index adde4decc..945524a47 100644 --- a/visualization/modal_deployment.py +++ b/visualization/modal_deployment.py @@ -2,19 +2,18 @@ from __future__ import annotations -from collections.abc import Callable -from dataclasses import dataclass, field import hashlib import hmac import os -from pathlib import Path import signal import subprocess import sys import threading -from typing import Any import uuid - +from collections.abc import Callable +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any SUPPORTED_MODAL_GPUS = { "T4", @@ -31,7 +30,7 @@ DEFAULT_MODAL_RUNTIME_IMAGE = "docker.io/su071301/gtsfm-modal-runtime:firstclass" -def modal_remote_api_key(token_id: str, token_secret: str) -> str: +def modal_workspace_api_key(token_id: str, token_secret: str) -> str: """Derive a stable app-specific key without exposing the Modal credentials.""" digest = hmac.new( @@ -241,7 +240,7 @@ def _run(self, deployment: ModalDeployment, source_root: Path) -> None: "GTSFM_MODAL_GPU": deployment.gpu, "GTSFM_MODAL_CPU": str(deployment.cpu), "GTSFM_MODAL_MEMORY_MB": str(deployment.memory_mb), - "GTSFM_REMOTE_API_KEY": modal_remote_api_key(deployment.token_id, deployment.token_secret), + "GTSFM_API_KEY": modal_workspace_api_key(deployment.token_id, deployment.token_secret), "GTSFM_SOURCE_ROOT": str(source_root), } ) @@ -287,7 +286,7 @@ def run_command() -> int: self._update( deployment, phase="deploying", - stage="Deploying the Modal web workspace", + stage="Deploying the Modal CPU control service", ) self._update(deployment, line=line) return process.wait() @@ -350,7 +349,7 @@ def run_command() -> int: self._mark_cancelled(deployment) return deployment.endpoint = discovered["endpoint"] - deployment.api_key = modal_remote_api_key(deployment.token_id, deployment.token_secret) + deployment.api_key = modal_workspace_api_key(deployment.token_id, deployment.token_secret) deployment.status = "completed" deployment.phase = "ready" deployment.stage = "Ready" diff --git a/visualization/runtime.py b/visualization/runtime.py index d1e8b6a15..891b79e80 100644 --- a/visualization/runtime.py +++ b/visualization/runtime.py @@ -2,36 +2,40 @@ from __future__ import annotations -import importlib.util import http.client +import importlib.util import json import os import platform import re import shutil import signal +import ssl import subprocess import sys import tarfile import tempfile import threading import time -import uuid import urllib.error import urllib.request -from functools import lru_cache -from urllib.parse import urljoin, urlparse +import uuid from dataclasses import dataclass, field from datetime import datetime, timezone +from functools import lru_cache from pathlib import Path from typing import Any, Mapping +from urllib.parse import urljoin, urlparse -import gtsfm +import certifi import yaml +import gtsfm PACKAGE_ROOT = Path(gtsfm.__file__).resolve().parent CONFIG_ROOT = PACKAGE_ROOT / "configs" +_SSL_CONTEXT = ssl.create_default_context(cafile=certifi.where()) +_REMOTE_REQUEST_TIMEOUT_SECONDS = 10 * 60 _RUN_NAME_PATTERN = re.compile(r"[^A-Za-z0-9._-]+") _OPTIONAL_SUBMODULES = { "submodule-anysplat": { @@ -463,10 +467,30 @@ def install_optional_setup(check_id: str, results_root: Path) -> dict[str, Any]: return {"item": item, "setup": status} +_CATALOG_YAML_NAME_PATTERN = re.compile(r"^[A-Za-z0-9_.-]+\.yaml$") + + +def _yaml_catalog_paths(folder: Path) -> list[Path]: + """Return canonical catalog YAMLs, excluding cloud/conflict copies. + + macOS cloud storage can create numbered copies such as ``vggt 2.yaml``. + Those files are not GTSFM configurations and may be dataless placeholders, + so attempting to read them can block the configuration endpoint indefinitely. + """ + + if not folder.exists(): + return [] + return sorted( + path + for path in folder.glob("*.yaml") + if not path.name.startswith("_") and _CATALOG_YAML_NAME_PATTERN.fullmatch(path.name) + ) + + def _yaml_stem_options(folder: Path) -> list[str]: if not folder.exists(): return [] - return sorted(path.stem for path in folder.glob("*.yaml") if not path.name.startswith("_")) + return [path.stem for path in _yaml_catalog_paths(folder)] def _display_name(value: str) -> str: @@ -508,7 +532,7 @@ def configuration_schema() -> dict[str, Any]: ) loader_options: dict[str, list[dict[str, Any]]] = {} standard_loader_fields = {"_target_", "dataset_dir", "images_dir", "max_resolution", "input_worker"} - for loader_path in sorted((CONFIG_ROOT / "loader").glob("*.yaml")): + for loader_path in _yaml_catalog_paths(CONFIG_ROOT / "loader"): data = yaml.safe_load(loader_path.read_text(encoding="utf-8")) or {} options: list[dict[str, Any]] = [] for name, value in data.items(): @@ -766,6 +790,8 @@ class ManagedJob: pid: int | None = None remote: dict[str, Any] | None = None remote_api_key: str | None = field(default=None, repr=False, compare=False) + remote_cancel_requested: bool = field(default=False, repr=False, compare=False) + remote_cancel_dispatched: bool = field(default=False, repr=False, compare=False) process: subprocess.Popen[str] | None = field(default=None, repr=False, compare=False) def public(self) -> dict[str, Any]: @@ -808,8 +834,12 @@ def get(self, job_id: str) -> ManagedJob | None: with self._lock: return self._jobs.get(job_id) - def start(self, spec: Mapping[str, Any]) -> dict[str, Any]: - job_id = uuid.uuid4().hex[:12] + def start(self, spec: Mapping[str, Any], *, job_id: str | None = None) -> dict[str, Any]: + """Start a pipeline, optionally using a caller-provided durable job ID.""" + + job_id = job_id or uuid.uuid4().hex[:12] + if not re.fullmatch(r"[A-Za-z0-9_-]{1,64}", job_id): + raise ValueError("Job ID contains unsupported characters") name = _normalise_run_name(spec.get("name")) run_root = self.results_root / "runs" / f"{name}-{job_id}" # Keep transient previews outside the results tree discovered by the viewer. @@ -881,7 +911,10 @@ def _remote_json(url: str, api_key: str, *, payload: dict[str, Any] | None = Non method="POST" if payload is not None else "GET", headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}, ) - with urllib.request.urlopen(request, timeout=120) as response: + # Allocating a Modal GPU and loading the CUDA runtime can take more than + # two minutes on the first request. Keep the socket open through that + # cold start instead of launching a second competing verification. + with urllib.request.urlopen(request, timeout=_REMOTE_REQUEST_TIMEOUT_SECONDS, context=_SSL_CONTEXT) as response: result = json.loads(response.read().decode("utf-8")) if not isinstance(result, dict): raise ValueError("Remote workspace returned an invalid response") @@ -893,7 +926,10 @@ def _remote_download(url: str, api_key: str, destination: Path) -> None: destination.parent.mkdir(parents=True, exist_ok=True) temporary = destination.with_suffix(f"{destination.suffix}.part") try: - with urllib.request.urlopen(request, timeout=300) as response, temporary.open("wb") as output: + with ( + urllib.request.urlopen(request, timeout=300, context=_SSL_CONTEXT) as response, + temporary.open("wb") as output, + ): shutil.copyfileobj(response, output) temporary.replace(destination) finally: @@ -930,7 +966,7 @@ def _remote_upload_directory(endpoint: str, api_key: str, directory: Path, runti parsed = urlparse(endpoint) if parsed.scheme == "https": connection: http.client.HTTPConnection = http.client.HTTPSConnection( - parsed.hostname, parsed.port or 443, timeout=3600 + parsed.hostname, parsed.port or 443, timeout=3600, context=_SSL_CONTEXT ) elif parsed.scheme == "http": connection = http.client.HTTPConnection(parsed.hostname, parsed.port or 80, timeout=3600) @@ -1003,6 +1039,9 @@ def _run_remote(self, job: ManagedJob) -> None: with self._lock: if job.status == "cancelled": return + job.status = "running" + job.updated_at = _utc_now() + job.log_tail.append("Starting the remote GPU workspace; the first run may take several minutes…") remote_spec["execution_target"] = "local" created = self._remote_json(f"{endpoint}/api/jobs", job.remote_api_key, payload=remote_spec) remote_id = str(created["id"]) @@ -1014,11 +1053,13 @@ def _run_remote(self, job: ManagedJob) -> None: "workspace_url": f"{endpoint}/?view=results", } ) + if cancelled: + job.log_tail.append("Modal accepted the job. Sending the pending cancellation request…") if not cancelled: job.status = str(created.get("status", "queued")) job.updated_at = _utc_now() if cancelled: - self._remote_json(f"{endpoint}/api/jobs/{remote_id}/cancel", job.remote_api_key, payload={}) + self._dispatch_remote_cancel(job, background=False) return preview_version: object = None remote_status = str(created.get("status", "queued")) @@ -1028,6 +1069,11 @@ def _run_remote(self, job: ManagedJob) -> None: remote_status = str(state.get("status", "running")) try: live = self._remote_json(f"{endpoint}/api/jobs/{remote_id}/live", job.remote_api_key) + live_path = Path(job.live_root) / "status.json" + live_path.parent.mkdir(parents=True, exist_ok=True) + live_temporary = live_path.with_suffix(".json.tmp") + live_temporary.write_text(json.dumps(live), encoding="utf-8") + live_temporary.replace(live_path) next_version = live.get("preview_version") preview_url = str(live.get("preview_url") or "") if preview_url and next_version != preview_version: @@ -1150,27 +1196,82 @@ def force_kill() -> None: threading.Thread(target=force_kill, daemon=True, name="gtsfm-job-cancel").start() + def _dispatch_remote_cancel(self, job: ManagedJob, *, background: bool) -> bool: + """Send one cancellation request to the remote workspace once its job ID exists.""" + + with self._lock: + remote = job.remote + remote_id = str(remote.get("job_id") or "") if remote else "" + if ( + not job.remote_cancel_requested + or job.remote_cancel_dispatched + or not remote + or not remote_id + or not job.remote_api_key + ): + return False + job.remote_cancel_dispatched = True + remote["cancel_status"] = "requested" + endpoint = str(remote["endpoint"]) + api_key = job.remote_api_key + + def send_cancel() -> None: + try: + self._remote_json(f"{endpoint}/api/jobs/{remote_id}/cancel", api_key, payload={}) + except (urllib.error.URLError, ValueError, TimeoutError) as exc: + with self._lock: + if job.remote is not None: + job.remote["cancel_status"] = "failed" + job.log_tail.append(f"Unable to confirm Modal cancellation: {exc}") + del job.log_tail[:-250] + job.updated_at = _utc_now() + else: + with self._lock: + if job.remote is not None: + job.remote["cancel_status"] = "confirmed" + job.log_tail.append("Modal job cancellation confirmed.") + del job.log_tail[:-250] + job.updated_at = _utc_now() + + if background: + threading.Thread( + target=send_cancel, + daemon=True, + name=f"gtsfm-remote-cancel-{job.id}", + ).start() + else: + send_cancel() + return True + def cancel(self, job_id: str) -> dict[str, Any]: with self._lock: job = self._jobs.get(job_id) if job is None: raise KeyError(job_id) - if job.status not in {"queued", "running"}: + if job.status not in {"queued", "running", "cancelled"}: return job.public() - job.status = "cancelled" - job.updated_at = _utc_now() + if job.status != "cancelled": + job.status = "cancelled" + job.updated_at = _utc_now() + job.log_tail.append("Cancellation requested.") process = job.process + if job.remote is not None: + job.remote_cancel_requested = True + if job.remote.get("job_id"): + job.remote["cancel_status"] = "requested" + else: + job.remote["cancel_status"] = "waiting_for_remote_job" + job.log_tail.append( + "Waiting for Modal to accept the starting job; it will be cancelled immediately afterward." + ) + del job.log_tail[:-250] if process is not None and process.poll() is None: self._terminate_process(process) - elif job.remote and job.remote.get("job_id") and job.remote_api_key: - try: - self._remote_json( - f"{job.remote['endpoint']}/api/jobs/{job.remote['job_id']}/cancel", - job.remote_api_key, - payload={}, - ) - except (urllib.error.URLError, ValueError): - pass + elif job.remote is not None: + # Do not make the browser wait on a network round-trip. If Modal is + # still cold-starting, _run_remote dispatches this as soon as the + # upstream job ID becomes available. + self._dispatch_remote_cancel(job, background=True) return job.public() def live_root(self, job_id: str) -> Path: diff --git a/visualization/samples.py b/visualization/samples.py index 43a30f23c..419d923c8 100644 --- a/visualization/samples.py +++ b/visualization/samples.py @@ -124,7 +124,9 @@ def _github_json(source_path: str) -> list[dict[str, Any]]: def _download_file(url: str, destination: Path) -> None: request = urllib.request.Request(url, headers={"User-Agent": "gtsfm-studio"}) destination.parent.mkdir(parents=True, exist_ok=True) - with urllib.request.urlopen(request, timeout=120, context=_SSL_CONTEXT) as response, destination.open("wb") as output: + with urllib.request.urlopen(request, timeout=120, context=_SSL_CONTEXT) as response, destination.open( + "wb" + ) as output: shutil.copyfileobj(response, output) diff --git a/visualization/static/studio.css b/visualization/static/studio.css index ab7c98ef9..5e122b870 100644 --- a/visualization/static/studio.css +++ b/visualization/static/studio.css @@ -1 +1 @@ -:root{--ink: #20211f;--ink-soft: #666761;--ink-faint: #96978f;--paper: #f4f4f0;--paper-raised: #fafaf7;--line: #d8d8d1;--line-dark: #c7c7bf;--viewport: #0e1012;--viewport-line: #2a2e31;--accent: #e45d37;--accent-dark: #c94825;--success: #3a8060;--danger: #b94b40;--control-height: 40px}*{box-sizing:border-box}html,body{height:100%}body{margin:0;overflow:hidden;background:var(--viewport);color:var(--ink);font-family:Inter,ui-sans-serif,-apple-system,BlinkMacSystemFont,Segoe UI,sans-serif;font-size:13px;line-height:1.45;-webkit-font-smoothing:antialiased}#root,.app-shell{width:100%;height:100%}.app-shell{display:flex}button,input,select,textarea{font:inherit}button{color:inherit}.hidden{display:none!important}#sidebar{position:relative;z-index:10;display:flex;flex:0 0 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small{color:var(--ink-soft);line-height:1.4}.hardware-card.detecting{display:flex;min-height:54px;align-items:center;gap:10px}.hardware-card.detecting>div{display:grid;gap:3px}.primary-action:disabled{cursor:wait;opacity:.55}.form-error{min-height:18px;margin:4px 0 8px;color:var(--danger);font-size:10px}.secondary-action,.icon-button{border:1px solid var(--line-dark);border-radius:2px;background:var(--paper-raised);color:var(--ink);font-size:10px;font-weight:650;cursor:pointer}.secondary-action{padding:7px 10px}.secondary-action:hover,.icon-button:hover{border-color:var(--ink)}.secondary-action.full-width{width:100%;margin:2px 0 10px}.panel-title{display:flex;align-items:center;justify-content:space-between;margin:22px 0 17px}.panel-title h3{margin:0;font-size:18px;font-weight:680;letter-spacing:-.035em}.panel-title p{margin:2px 0 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a:hover{border-color:var(--ink)}#main-content{position:relative;min-width:0;flex:1;overflow:hidden;background:var(--viewport)}#renderCanvas{display:block;width:100%;height:100%;outline:none}.setup-panel,.setup-reopen{position:absolute;z-index:9;top:18px;right:18px}.setup-panel.with-active-job,.setup-reopen.with-active-job{top:91px}.setup-panel{width:318px;overflow:hidden;border:1px solid #404346;border-radius:2px;background:#131517f5;box-shadow:0 12px 32px #0000003d;color:#e8e8e3;-webkit-backdrop-filter:blur(12px);backdrop-filter:blur(12px)}.setup-panel.collapsed{width:238px}.setup-panel-header{display:grid;min-height:52px;grid-template-columns:20px 1fr auto;align-items:center;gap:9px;padding:9px 8px 9px 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