diff --git a/ogscope/config.py b/ogscope/config.py index c358291..eac98eb 100644 --- a/ogscope/config.py +++ b/ogscope/config.py @@ -138,8 +138,8 @@ class Settings(BaseSettings): description="大尺度背景减除：小图长边上限（像素），越小越快 / Large-scale BG downsample max side", ) star_analysis_target_fps: float = Field( - default=1.5, - description="星空分析目标帧率（1–2），仅用于前端节流 / Target star-analysis FPS for UI throttle", + default=2 / 3, + description="星空分析目标帧率（约 1.5 秒 1 帧），仅用于前端节流 / Target star-analysis FPS for UI throttle (~1.5s per frame)", ) model_config = SettingsConfigDict( diff --git a/ogscope/web/api/analysis/routes.py b/ogscope/web/api/analysis/routes.py index 0166848..35383e8 100644 --- a/ogscope/web/api/analysis/routes.py +++ b/ogscope/web/api/analysis/routes.py @@ -2,6 +2,7 @@ 素材分析路由 / Asset analysis routes """ +import json import mimetypes from fastapi import APIRouter, File, Form, HTTPException, Query, UploadFile @@ -268,6 +269,40 @@ async def solve_analysis_frame(body: AnalysisSolveVideoFrameRequest): raise HTTPException(status_code=404, detail=str(exc)) from exc except ValueError as exc: raise HTTPException(status_code=400, detail=str(exc)) from exc + + +@router.post("/analysis/solve/frame_upload") +async def solve_uploaded_frame( + file: UploadFile = File(...), + payload: str = Form( + ..., + description="JSON 字符串，字段与 AnalysisSolveImageRequest 对齐 / JSON payload aligned with AnalysisSolveImageRequest", + ), +): + """上传单帧 JPEG/PNG 并解算 / Solve a single uploaded frame (multipart).""" + try: + raw = await file.read() + obj = json.loads(payload) + if not isinstance(obj, dict): + raise ValueError("payload 必须为 JSON 对象 / payload must be a JSON object") + topn = obj.get("overlay_topn_count") + enable_polar = obj.get("enable_polar_guide") + obj.pop("overlay_topn_count", None) + obj.pop("enable_polar_guide", None) + # 前端调试元数据，不参与 Pydantic 模型 / Client metadata not in schema + obj.pop("time_sec", None) + obj.pop("frame_width", None) + obj.pop("frame_height", None) + obj.setdefault("input_name", "__frame_upload__.jpg") + data = AnalysisSolveImageRequest.model_validate(obj) + return await analysis_service.solve_uploaded_frame( + image_bytes=raw, + solve_params=data, + overlay_topn_count=topn, + enable_polar_guide=enable_polar, + ) + except HTTPException: + raise except Exception as exc: # noqa: BLE001 raise HTTPException(status_code=400, detail=str(exc)) from exc diff --git a/ogscope/web/api/analysis/services.py b/ogscope/web/api/analysis/services.py index 76514f8..3613cf2 100644 --- a/ogscope/web/api/analysis/services.py +++ b/ogscope/web/api/analysis/services.py @@ -6,6 +6,7 @@ import asyncio import json +import math import shutil import time import uuid @@ -16,6 +17,7 @@ from typing import Any import cv2 +import numpy as np from ogscope.algorithms.plate_solve import ( CentroidExtractionParams, @@ -161,6 +163,135 @@ def __init__(self) -> None: self.default_hint_dec = settings.solver_hint_dec_deg self._jobs: dict[str, AnalysisJob] = {} self._lab = AnalysisLabStore(settings) + self._overlay_topn_default = 3 + self._polar_guide_default = True + + def _build_topn_labels( + self, + row: dict[str, Any], + *, + topn_count: int, + ) -> list[dict[str, Any]]: + """从 matched 星点构建 Top-N 标注 / Build Top-N labels from matched stars.""" + overlay = row.get("solve_overlay") + if not isinstance(overlay, dict): + return [] + matched = overlay.get("stars_matched") + if not isinstance(matched, list): + return [] + labels: list[dict[str, Any]] = [] + for star in matched: + if not isinstance(star, dict): + continue + mag_raw = star.get("mag") + try: + mag_val = float(mag_raw) if mag_raw is not None else None + except (TypeError, ValueError): + mag_val = None + cat_id = star.get("cat_id") + if isinstance(cat_id, list): + cat_id_text = "-".join(str(v) for v in cat_id if v is not None) + elif cat_id is None: + cat_id_text = "" + else: + cat_id_text = str(cat_id) + # 目前基于 Tetra3 匹配 ID 提供可读名占位，后续可接入正式星表映射 + # Build readable placeholder name from Tetra3 cat_id; can be replaced by real catalog lookup later. + name = f"CAT-{cat_id_text}" if cat_id_text else "Unnamed" + item = { + "x": star.get("x"), + "y": star.get("y"), + "name": name, + "mag": mag_val, + "ra_deg": star.get("ra_deg"), + "dec_deg": star.get("dec_deg"), + } + labels.append(item) + labels.sort( + key=lambda x: ( + x["mag"] is None, + float(x["mag"]) if x["mag"] is not None else 999.0, + ) + ) + n = max(1, int(topn_count)) + return labels[:n] + + def _build_polar_guide(self, row: dict[str, Any]) -> dict[str, Any] | None: + """构建极轴引导向量 / Build polar guide vector from solve center.""" + overlay = row.get("solve_overlay") + if not isinstance(overlay, dict): + return None + frame_shape = overlay.get("frame_shape") + if ( + not isinstance(frame_shape, list) + or len(frame_shape) < 2 + or frame_shape[0] in (None, 0) + or frame_shape[1] in (None, 0) + ): + return None + try: + h = float(frame_shape[0]) + w = float(frame_shape[1]) + ra_center = float(row.get("ra_deg")) + dec_center = float(row.get("dec_deg")) + except (TypeError, ValueError): + return None + fov_deg = row.get("fov_deg") + roll_deg = row.get("roll_deg") + if fov_deg is None: + return None + try: + fov = float(fov_deg) + except (TypeError, ValueError): + return None + roll = 0.0 + try: + if roll_deg is not None: + roll = float(roll_deg) + except (TypeError, ValueError): + roll = 0.0 + + # 北天极近似目标：RA 与当前中心相同，Dec=+90，减少 RA wrap 影响 + # Approximate north celestial pole target with same RA and Dec=+90. + target_ra = ra_center + target_dec = 90.0 + d_ra = target_ra - ra_center + while d_ra > 180.0: + d_ra -= 360.0 + while d_ra < -180.0: + d_ra += 360.0 + d_dec = target_dec - dec_center + east_deg = d_ra * math.cos(math.radians(dec_center)) + north_deg = d_dec + roll_rad = math.radians(roll) + x_deg = east_deg * math.cos(roll_rad) + north_deg * math.sin(roll_rad) + y_deg = -east_deg * math.sin(roll_rad) + north_deg * math.cos(roll_rad) + + px_per_deg = (min(w, h) / max(fov, 1e-6)) if fov > 0 else 1.0 + dx_px = x_deg * px_per_deg + dy_px = -y_deg * px_per_deg + cx = w * 0.5 + cy = h * 0.5 + tx = cx + dx_px + ty = cy + dy_px + + c_dec = math.radians(dec_center) + t_dec = math.radians(target_dec) + d_ra_rad = math.radians(d_ra) + cos_ang = ( + math.sin(c_dec) * math.sin(t_dec) + + math.cos(c_dec) * math.cos(t_dec) * math.cos(d_ra_rad) + ) + cos_ang = max(-1.0, min(1.0, cos_ang)) + angular_sep_deg = math.degrees(math.acos(cos_ang)) + + return { + "target_kind": "north_celestial_pole", + "frame_center": {"x": cx, "y": cy, "ra_deg": ra_center, "dec_deg": dec_center}, + "target": {"x": tx, "y": ty, "ra_deg": target_ra, "dec_deg": target_dec}, + "delta_px": {"dx": dx_px, "dy": dy_px}, + "angular_sep_deg": angular_sep_deg, + } def _centroid_params_from_payload( self, payload: CentroidParamsPayload | None @@ -213,6 +344,22 @@ def resolve_upload_path(self, filename: str) -> Path: raise ValueError("路径非法 / Invalid path") from exc return path + def _resolve_frame_source_path(self, input_name: str) -> Path: + """单帧视频解算源路径：优先素材池，其次调试录制目录 / Resolve frame-solve source path.""" + name = Path(input_name.strip()).name + if not name or name != input_name.strip(): + raise ValueError("文件名无效 / Invalid filename") + try: + up = self.resolve_upload_path(name) + if up.is_file(): + return up + except ValueError: + pass + dbg = Path.home() / "dev_captures" / name + if dbg.is_file(): + return dbg + raise FileNotFoundError("上传文件不存在 / Uploaded file not found") + def get_upload_file_info(self, filename: str) -> dict[str, Any]: """从上传目录读取文件与 stem.txt 侧车 / File + optional sidecar from upload pool.""" path = self.resolve_upload_path(filename) @@ -612,6 +759,76 @@ def delete_upload( self._lab.remove_manifest_entry(path.name) return {"success": True, "filename": path.name, "deleted_experiments": n_exp} + async def solve_uploaded_frame( + self, + *, + image_bytes: bytes, + solve_params: AnalysisSolveImageRequest, + overlay_topn_count: int | None = None, + enable_polar_guide: bool | None = None, + ) -> dict[str, Any]: + """解析上传的单帧图像并解算 / Solve a single uploaded frame (multipart).""" + if not image_bytes: + raise ValueError("空图像数据 / Empty image payload") + buf = np.frombuffer(image_bytes, dtype=np.uint8) + frame = cv2.imdecode(buf, cv2.IMREAD_COLOR) + if frame is None: + raise ValueError("无法解码图像 / Cannot decode image") + + centroid_params, max_stars, timeout_ms, effective_profile = ( + self._resolve_solve_profile( + solve_params.solve_profile, + solve_params.centroid, + solve_params.solve_timeout_ms, + ) + ) + loop = asyncio.get_running_loop() + + def _run() -> dict[str, Any]: + return self._solve_bgr_to_row( + frame, + solve_params.hint_ra_deg, + solve_params.hint_dec_deg, + solve_params.fov_estimate, + solve_params.fov_max_error, + timeout_ms, + centroid_params, + solve_params.max_image_side, + max_stars, + bool(solve_params.large_scale_bg_subtract), + ) + + row = await loop.run_in_executor(self._solver_executor, _run) + # 统一 overlay_ext 结构，便于前端复用渲染逻辑 + topn = ( + int(overlay_topn_count) + if overlay_topn_count is not None + else self._overlay_topn_default + ) + enable_polar = ( + bool(enable_polar_guide) + if enable_polar_guide is not None + else self._polar_guide_default + ) + overlay_ext: dict[str, Any] = {} + try: + overlay_ext["labels_topn"] = self._build_topn_labels( + row, topn_count=topn + ) + except Exception: + overlay_ext["labels_topn"] = [] + if enable_polar: + try: + overlay_ext["polar_guide"] = self._build_polar_guide(row) + except Exception: + overlay_ext["polar_guide"] = None + row["overlay_ext"] = overlay_ext + row["solve_profile"] = effective_profile + detail_level = getattr(solve_params, "detail_level", None) or "summary" + if detail_level != "full": + row.pop("tetra", None) + return {"success": True, "result": row} + def delete_experiment(self, experiment_id: str) -> None: """删除一条实验记录 / Delete one experiment record.""" self._lab.delete_experiment(experiment_id) @@ -828,9 +1045,7 @@ async def solve_video_frame( raise ValueError( "需要 input_name / input_name required for file source" ) - path = self.resolve_upload_path(body.input_name) - if not path.is_file(): - raise FileNotFoundError("上传文件不存在 / Uploaded file not found") + path = self._resolve_frame_source_path(body.input_name) t_decode = time.perf_counter() cap = cv2.VideoCapture(str(path)) if not cap.isOpened(): @@ -868,6 +1083,29 @@ def _run() -> dict[str, Any]: ) row = await loop.run_in_executor(self._solver_executor, _run) + # 二次分析与极轴引导（失败降级，不影响基础解算） + topn = ( + int(body.overlay_topn_count) + if getattr(body, "overlay_topn_count", None) is not None + else self._overlay_topn_default + ) + enable_polar = ( + bool(body.enable_polar_guide) + if getattr(body, "enable_polar_guide", None) is not None + else self._polar_guide_default + ) + overlay_ext: dict[str, Any] = {} + try: + overlay_ext["labels_topn"] = self._build_topn_labels(row, topn_count=topn) + except Exception: + overlay_ext["labels_topn"] = [] + if enable_polar: + try: + overlay_ext["polar_guide"] = self._build_polar_guide(row) + except Exception: + overlay_ext["polar_guide"] = None + row["overlay_ext"] = overlay_ext + if t_open_decode_ms is not None: row["t_open_decode_ms"] = round(t_open_decode_ms, 3) row["t_backend_total_ms"] = round((time.perf_counter() - t_total) * 1000.0, 3) diff --git a/ogscope/web/api/models/schemas.py b/ogscope/web/api/models/schemas.py index f97428b..a92f9f5 100644 --- a/ogscope/web/api/models/schemas.py +++ b/ogscope/web/api/models/schemas.py @@ -242,10 +242,12 @@ class AnalysisSolveVideoFrameRequest(BaseModel): model_config = ConfigDict(extra="forbid") + # 基本输入来源 / Basic input source source: Literal["camera", "file"] input_name: Optional[str] = None frame_index: int = 0 time_sec: Optional[float] = None + # 解算参数 / Solve parameters hint_ra_deg: Optional[float] = None hint_dec_deg: Optional[float] = None fov_estimate: Optional[float] = None @@ -257,6 +259,16 @@ class AnalysisSolveVideoFrameRequest(BaseModel): large_scale_bg_subtract: Optional[bool] = False detail_level: Optional[Literal["summary", "full"]] = "summary" + # 叠加与引导选项（可选，未提供则使用后端默认）/ Optional overlay & guidance options + overlay_topn_count: Optional[int] = Field( + default=None, + description="自动标注的星点数量上限（Top-N），未填用服务器默认 / Max number of stars to label (Top-N); server default if omitted", + ) + enable_polar_guide: Optional[bool] = Field( + default=None, + description="是否计算极轴引导信息；未填用服务器默认 / Whether to compute polar guide info; server default if omitted", + ) + class ImportFromDebugRequest(BaseModel): """从调试采集目录导入到分析素材池 / Import capture into analysis pool.""" diff --git a/tests/unit/test_analysis_api.py b/tests/unit/test_analysis_api.py index 030ef65..f3a93be 100644 --- a/tests/unit/test_analysis_api.py +++ b/tests/unit/test_analysis_api.py @@ -2,6 +2,7 @@ 分析 API 测试 / Analysis API tests """ +import json from pathlib import Path import cv2 @@ -281,3 +282,95 @@ def test_analysis_delete_upload_and_experiment( er = client.delete(f"/api/analysis/experiments/{eid}") assert er.status_code == 200 assert not (temp_analysis_dir / "experiments" / f"{eid}.json").is_file() + + +@pytest.mark.unit +def test_analysis_solve_video_frame_overlay_ext( + client, temp_analysis_dir, mock_plate_solve, tmp_path: Path +): + """单帧视频解算返回扩展叠加字段 / Frame solve returns overlay extension.""" + video_path = tmp_path / "frame_ext.mp4" + _build_test_video(video_path) + with video_path.open("rb") as f: + up = client.post( + "/api/analysis/upload", + files={"file": ("frame_ext.mp4", f, "video/mp4")}, + ) + assert up.status_code == 200 + + resp = client.post( + "/api/analysis/solve/frame", + json={ + "source": "file", + "input_name": "frame_ext.mp4", + "time_sec": 0.1, + "overlay_topn_count": 2, + "enable_polar_guide": True, + }, + ) + assert resp.status_code == 200 + data = resp.json() + assert data.get("success") is True + row = data.get("result") or {} + ext = row.get("overlay_ext") or {} + labels = ext.get("labels_topn") or [] + assert isinstance(labels, list) + assert len(labels) >= 1 + assert "name" in labels[0] + guide = ext.get("polar_guide") + assert isinstance(guide, dict) + assert "delta_px" in guide + + +@pytest.mark.unit +def test_analysis_solve_video_frame_from_debug_capture( + client, temp_analysis_dir, mock_plate_solve, monkeypatch, tmp_path: Path +): + """调试录制目录的视频也可直接单帧解算 / Frame solve supports debug-capture videos.""" + video_path = tmp_path / "dev_captures" / "debug_cam.mp4" + video_path.parent.mkdir(parents=True, exist_ok=True) + _build_test_video(video_path) + monkeypatch.setattr("ogscope.web.api.analysis.services.Path.home", lambda: tmp_path) + + resp = client.post( + "/api/analysis/solve/frame", + json={ + "source": "file", + "input_name": "debug_cam.mp4", + "time_sec": 0.0, + }, + ) + assert resp.status_code == 200 + data = resp.json() + assert data.get("success") is True + result = data.get("result") or {} + assert "status" in result + + +@pytest.mark.unit +def test_analysis_solve_frame_upload_endpoint( + client, temp_analysis_dir, mock_plate_solve, tmp_path: Path +): + """浏览器提帧上传接口可解算 / Browser frame-upload endpoint solves frame.""" + image_path = tmp_path / "frame_upload.jpg" + _build_star_image(image_path) + payload = { + "hint_ra_deg": 45.0, + "hint_dec_deg": 75.0, + "solve_profile": "balanced", + "overlay_topn_count": 2, + "enable_polar_guide": True, + } + with image_path.open("rb") as f: + resp = client.post( + "/api/analysis/solve/frame_upload", + files={"file": ("frame.jpg", f, "image/jpeg")}, + data={"payload": json.dumps(payload)}, + ) + assert resp.status_code == 200 + data = resp.json() + assert data.get("success") is True + row = data.get("result") or {} + assert "status" in row + ext = row.get("overlay_ext") or {} + assert "labels_topn" in ext diff --git a/web/analysis-ui/src/App.tsx b/web/analysis-ui/src/App.tsx index 1cd2470..03c4865 100644 --- a/web/analysis-ui/src/App.tsx +++ b/web/analysis-ui/src/App.tsx @@ -24,6 +24,7 @@ import { fetchDebugFileInfo, fetchDebugFiles, fetchExperiments, + fetchLabSettings, fetchPresets, fetchSystemInfo, fetchUploadExperimentCount, @@ -33,11 +34,13 @@ import { saveExperiment, saveUserPreset, solveBatch, + solveFrameFromBlob, solveImage, solveVideoFrame, uploadFile, uploadFileUrl, type DebugFileRow, + type LabPublicSettings, type SolveParams, type UploadFileRow, } from "./api"; @@ -153,6 +156,11 @@ export default function App() { const [cameraPreviewUrl, setCameraPreviewUrl] = useState(null); const [videoPreviewError, setVideoPreviewError] = useState(null); const [cameraSolveRunning, setCameraSolveRunning] = useState(false); + const [fileSolveRunning, setFileSolveRunning] = useState(false); + const [autoHoldEnabled, setAutoHoldEnabled] = useState(true); + const [isFrozen, setIsFrozen] = useState(false); + const [frozenFrameId, setFrozenFrameId] = useState(null); + const [frozenImageUrl, setFrozenImageUrl] = useState(null); const [meta, setMeta] = useState | null>(null); const [metaLoading, setMetaLoading] = useState(false); const [batchRawOpen, setBatchRawOpen] = useState>({}); @@ -167,9 +175,18 @@ export default function App() { const cameraPreviewImgRef = useRef(null); const lastCameraFrameIdRef = useRef(null); const cameraSolveTimerRef = useRef(null); + const fileSolveTimerRef = useRef(null); const cameraSolveInFlightRef = useRef(false); + const fileSolveInFlightRef = useRef(false); const cvRef = useRef(null); const [sysOverview, setSysOverview] = useState(null); + const [labSettings, setLabSettings] = useState(null); + + const starAnalysisIntervalMs = useMemo(() => { + const fps = labSettings?.star_analysis_target_fps ?? 2 / 3; + const clampedFps = Math.min(Math.max(fps, 0.2), 5.0); + return Math.round(1000 / clampedFps); + }, [labSettings]); const loadLists = useCallback(async () => { const [u, o, usr] = await Promise.all([ @@ -188,6 +205,12 @@ export default function App() { .catch(() => setDebugFiles([])); }, []); + useEffect(() => { + fetchLabSettings() + .then((s) => setLabSettings(s)) + .catch(() => setLabSettings(null)); + }, []); + useEffect(() => { loadLists().catch((e) => setErr(String(e))); }, [loadLists]); @@ -253,7 +276,10 @@ export default function App() { const overlay = useMemo(() => { const r = lastResult?.result as Record | undefined; if (!r) return null; - return (r.solve_overlay || null) as SolveOverlay | null; + const base = (r.solve_overlay || null) as SolveOverlay | null; + if (!base) return null; + const ext = (r.overlay_ext || null) as SolveOverlay["overlay_ext"] | null; + return { ...base, overlay_ext: ext || undefined }; }, [lastResult]); const resultRow = useMemo(() => { @@ -315,7 +341,7 @@ export default function App() { if (view !== "lab_video" || videoPreviewMode !== "camera") return; let cancelled = false; const poll = async () => { - if (cancelled) return; + if (cancelled || isFrozen) return; try { const qs = lastCameraFrameIdRef.current ? `?since_frame_id=${encodeURIComponent(lastCameraFrameIdRef.current)}` @@ -346,7 +372,7 @@ export default function App() { }); lastCameraFrameIdRef.current = null; }; - }, [view, videoPreviewMode]); + }, [view, videoPreviewMode, isFrozen]); useEffect(() => { const img = imgRef.current; @@ -445,40 +471,71 @@ export default function App() { const onCameraSolve = async () => { if (cameraSolveInFlightRef.current) return; setErr(null); - setBusy(true); cameraSolveInFlightRef.current = true; const t0 = performance.now(); try { const out = await solveVideoFrame({ source: "camera", + overlay_topn_count: 3, + enable_polar_guide: true, + solve_timeout_ms: Math.min((labSettings?.solver_timeout_ms ?? 1500) * 0.6, 1200), ...params, }); setLastResult(out as Record); setBatchPack(null); setLastSolveSource("camera"); setVideoPreviewMode("camera"); + const outResult = (out as { result?: Record }).result; + const solveStatus = + typeof outResult?.status === "string" ? String(outResult.status) : ""; + if (autoHoldEnabled && solveStatus === "MATCH_FOUND") { + setIsFrozen(true); + setFrozenFrameId( + (out as { frame_id?: number }).frame_id != null + ? String((out as { frame_id?: number }).frame_id) + : null, + ); + setFrozenImageUrl(cameraPreviewUrl); + stopCameraSolveLoop(); + } setLastRoundTripMs(performance.now() - t0); } catch (e) { setErr(String(e)); setLastRoundTripMs(null); } finally { cameraSolveInFlightRef.current = false; - setBusy(false); } }; const onVideoFileSolve = async () => { + if (fileSolveInFlightRef.current) return; if (!selected) return; + const vd = videoRef.current; + if (!vd || vd.videoWidth < 2 || vd.videoHeight < 2 || videoPreviewError) return; setErr(null); - setBusy(true); + fileSolveInFlightRef.current = true; const t0 = performance.now(); try { - const vd = videoRef.current; - const out = await solveVideoFrame({ - source: "file", - input_name: selected, - time_sec: vd?.currentTime ?? 0, + const canvas = document.createElement("canvas"); + canvas.width = vd.videoWidth; + canvas.height = vd.videoHeight; + const ctx = canvas.getContext("2d"); + if (!ctx) { + throw new Error("无法创建画布上下文 / Cannot create canvas context"); + } + ctx.drawImage(vd, 0, 0, canvas.width, canvas.height); + const frameBlob = await new Promise((resolve, reject) => { + canvas.toBlob( + (b) => (b ? resolve(b) : reject(new Error("帧编码失败 / Frame encode failed"))), + "image/jpeg", + 0.92, + ); + }); + const out = await solveFrameFromBlob(frameBlob, { ...params, + solve_timeout_ms: Math.min((labSettings?.solver_timeout_ms ?? 1500) * 0.6, 1200), + overlay_topn_count: 3, + enable_polar_guide: true, }); setLastResult(out as Record); setBatchPack(null); @@ -488,17 +545,42 @@ export default function App() { setErr(String(e)); setLastRoundTripMs(null); } finally { - setBusy(false); + fileSolveInFlightRef.current = false; + } + }; + + const startFileSolveLoop = () => { + if (fileSolveRunning || !selected) return; + setFileSolveRunning(true); + void onVideoFileSolve(); + fileSolveTimerRef.current = window.setInterval(() => { + void onVideoFileSolve(); + }, starAnalysisIntervalMs); + }; + + const canSolveVideoFile = useMemo(() => { + if (view !== "lab_video" || videoPreviewMode !== "file") return false; + if (!selected) return false; + if (videoPreviewError) return false; + return videoNatural.w > 1 && videoNatural.h > 1; + }, [view, videoPreviewMode, selected, videoPreviewError, videoNatural.w, videoNatural.h]); + + const stopFileSolveLoop = () => { + setFileSolveRunning(false); + if (fileSolveTimerRef.current != null) { + window.clearInterval(fileSolveTimerRef.current); + fileSolveTimerRef.current = null; } }; const startCameraSolveLoop = () => { if (cameraSolveRunning) return; + if (isFrozen) return; setCameraSolveRunning(true); void onCameraSolve(); cameraSolveTimerRef.current = window.setInterval(() => { void onCameraSolve(); - }, 1200); + }, starAnalysisIntervalMs); }; const stopCameraSolveLoop = () => { @@ -509,6 +591,12 @@ export default function App() { } }; + const resumeLivePreview = () => { + setIsFrozen(false); + setFrozenFrameId(null); + setFrozenImageUrl(null); + }; + const togglePreset = (id: string) => { setSelectedPresetIds((prev) => { const n = new Set(prev); @@ -636,12 +724,25 @@ export default function App() { useEffect(() => { if (view !== "lab_video" || videoPreviewMode !== "camera") { stopCameraSolveLoop(); + setIsFrozen(false); + setFrozenFrameId(null); + setFrozenImageUrl(null); + } + if (view !== "lab_video" || videoPreviewMode !== "file") { + stopFileSolveLoop(); } }, [view, videoPreviewMode]); + useEffect(() => { + if (!selected) { + stopFileSolveLoop(); + } + }, [selected]); + useEffect(() => { return () => { stopCameraSolveLoop(); + stopFileSolveLoop(); }; }, []); @@ -930,10 +1031,10 @@ export default function App() { {view === "lab_video" && videoPreviewMode === "camera" ? (
- {cameraPreviewUrl ? ( + {((isFrozen && frozenImageUrl) || cameraPreviewUrl) ? ( @@ -1026,7 +1127,6 @@ export default function App() { autoPlay muted preload="metadata" - controls className="max-h-[70vh] w-full max-w-full object-contain" onError={() => setVideoPreviewError(t("lab.videoPreviewFailed"))} onLoadedData={() => { @@ -1568,21 +1668,39 @@ export default function App() { {view === "lab_video" && (
{videoPreviewMode === "file" ? ( - + <> + + + + ) : ( <> @@ -1598,10 +1716,32 @@ export default function App() { type="button" className="w-full rounded bg-secondary/80 py-2.5 font-semibold text-on-secondary disabled:opacity-40" onClick={() => void onCameraSolve()} - disabled={busy} + disabled={busy || isFrozen} > {t("lab.solveCameraFrame")} + + {isFrozen && ( + + )} + {isFrozen && ( +
+ 已冻结帧 / Frozen frame {frozenFrameId ?? "-"} +
+ )} )}
diff --git a/web/analysis-ui/src/api.ts b/web/analysis-ui/src/api.ts index 2580c4e..dc3c22b 100644 --- a/web/analysis-ui/src/api.ts +++ b/web/analysis-ui/src/api.ts @@ -273,7 +273,11 @@ export async function solveVideoFrame(payload: { input_name?: string | null; frame_index?: number; time_sec?: number | null; -} & SolveParams): Promise<{ success: boolean; result?: Record }> { + /** 自动标注 Top-N 星点（省略则用后端默认） / Auto-label top-N stars (server default if omitted) */ + overlay_topn_count?: number | null; + /** 是否启用极轴引导信息（省略则用后端默认） / Whether to enable polar guide info (server default if omitted) */ + enable_polar_guide?: boolean | null; +} & SolveParams): Promise<{ success: boolean; result?: Record; frame_id?: number | null; frame_ts?: string | null }> { const r = await fetch(`${API}/analysis/solve/frame`, { method: "POST", headers: { "Content-Type": "application/json" }, @@ -281,6 +285,25 @@ export async function solveVideoFrame(payload: { }); const data = await parseJson(r); if (!r.ok) throw new Error(String((data as { detail?: string }).detail || r.status)); + return data as { success: boolean; result?: Record; frame_id?: number | null; frame_ts?: string | null }; +} + +export async function solveFrameFromBlob( + frameBlob: Blob, + payload: SolveParams & { + overlay_topn_count?: number | null; + enable_polar_guide?: boolean | null; + }, +): Promise<{ success: boolean; result?: Record }> { + const fd = new FormData(); + fd.append("file", frameBlob, "frame.jpg"); + fd.append("payload", JSON.stringify(payload)); + const r = await fetch(`${API}/analysis/solve/frame_upload`, { + method: "POST", + body: fd, + }); + const data = await parseJson(r); + if (!r.ok) throw new Error(String((data as { detail?: string }).detail || r.status)); return data as { success: boolean; result?: Record }; } diff --git a/web/analysis-ui/src/drawOverlay.ts b/web/analysis-ui/src/drawOverlay.ts index dc4e39c..7cbe814 100644 --- a/web/analysis-ui/src/drawOverlay.ts +++ b/web/analysis-ui/src/drawOverlay.ts @@ -10,6 +10,23 @@ export type SolveOverlay = { stars_all_centroids?: Array<{ x: number; y: number }>; stars_pattern?: Array<{ x: number; y: number }>; stars_matched?: Array<{ x: number; y: number; mag?: number }>; + overlay_ext?: { + labels_topn?: Array<{ + x: number; + y: number; + name?: string; + mag?: number | null; + ra_deg?: number | null; + dec_deg?: number | null; + }>; + polar_guide?: { + target_kind?: string; + frame_center?: { x: number; y: number }; + target?: { x: number; y: number }; + delta_px?: { dx: number; dy: number }; + angular_sep_deg?: number; + } | null; + }; }; function drawOverlayCore( @@ -53,6 +70,43 @@ function drawOverlayCore( } } } + const ext = overlay.overlay_ext; + if (Array.isArray(ext?.labels_topn) && ext.labels_topn.length > 0) { + ctx.fillStyle = "rgba(96, 165, 250, 0.95)"; + ctx.font = "12px system-ui, sans-serif"; + for (const s of ext.labels_topn) { + if (typeof s?.x !== "number" || typeof s?.y !== "number") continue; + const magText = typeof s.mag === "number" ? ` m${s.mag.toFixed(1)}` : ""; + const title = `${s.name ?? "Star"}${magText}`; + ctx.fillText(title, s.x + 8, s.y + 14); + } + } + const guide = ext?.polar_guide; + if ( + guide && + typeof guide.frame_center?.x === "number" && + typeof guide.frame_center?.y === "number" && + typeof guide.target?.x === "number" && + typeof guide.target?.y === "number" + ) { + const cx = guide.frame_center.x; + const cy = guide.frame_center.y; + const tx = guide.target.x; + const ty = guide.target.y; + ctx.strokeStyle = "rgba(244, 63, 94, 0.95)"; + ctx.fillStyle = "rgba(244, 63, 94, 0.95)"; + ctx.lineWidth = 2; + ctx.beginPath(); + ctx.moveTo(cx, cy); + ctx.lineTo(tx, ty); + ctx.stroke(); + ctx.beginPath(); + ctx.arc(tx, ty, 6, 0, Math.PI * 2); + ctx.stroke(); + const ang = typeof guide.angular_sep_deg === "number" ? guide.angular_sep_deg.toFixed(2) : "-"; + ctx.font = "12px system-ui, sans-serif"; + ctx.fillText(`Polar ${ang}deg`, tx + 10, ty - 6); + } } export function drawSolveOverlay( diff --git a/web/static/analysis-lab/assets/index-B7lY1o6d.js 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"lab.solveCameraFrame": "Solve live camera frame", "lab.solveCameraStart": "Start camera solve", diff --git a/web/static/i18n/analysis.zh.json b/web/static/i18n/analysis.zh.json index be43e88..3514822 100644 --- a/web/static/i18n/analysis.zh.json +++ b/web/static/i18n/analysis.zh.json @@ -138,6 +138,8 @@ "common.placeholder": "—", "delete.uploadCascade": "该素材有 {n} 条实验记录，是否一并删除？", "lab.solveCurrentFrame": "解算当前帧（文件）", + "lab.solveFileStart": "开始文件连续解算", + "lab.solveFileStop": "停止文件连续解算", "lab.cameraPreviewLoading": "正在连接共享预览…", "lab.solveCameraFrame": "解算相机当前帧", "lab.solveCameraStart": "开始相机解算",