Migrate updater LAN and devkit features from old repo

devkit/build_server.bat

@@ -0,0 +1,24 @@
+@echo off
+REM ── JE-Skin DevKit: 打包 Python gRPC server 为 exe ──
+REM 前提: pip install pyinstaller grpcio grpcio-tools openpyxl
+
+echo [1/3] Generating gRPC stubs...
+python -m grpc_tools.protoc ^
+  -I../src-tauri/proto ^
+  --python_out=. ^
+  --grpc_python_out=. ^
+  ../src-tauri/proto/sensor_stream.proto
+
+echo [2/3] Building exe with PyInstaller...
+pyinstaller ^
+  --onefile ^
+  --name je-skin-devkit-server ^
+  --add-data "sensor_stream_pb2*.py;." ^
+  --hidden-import grpc ^
+  --hidden-import openpyxl ^
+  --noconfirm ^
+  sensor_server.py
+
+echo [3/3] Done!
+echo Output: dist/je-skin-devkit-server.exe
+pause

devkit/je-skin-devkit-server.spec

@@ -0,0 +1,38 @@
+# -*- mode: python ; coding: utf-8 -*-
+
+
+a = Analysis(
+    ['sensor_server.py'],
+    pathex=[],
+    binaries=[],
+    datas=[],
+    hiddenimports=['grpc', 'openpyxl'],
+    hookspath=[],
+    hooksconfig={},
+    runtime_hooks=[],
+    excludes=[],
+    noarchive=False,
+    optimize=0,
+)
+pyz = PYZ(a.pure)
+
+exe = EXE(
+    pyz,
+    a.scripts,
+    a.binaries,
+    a.datas,
+    [],
+    name='je-skin-devkit-server',
+    debug=False,
+    bootloader_ignore_signals=False,
+    strip=False,
+    upx=True,
+    upx_exclude=[],
+    runtime_tmpdir=None,
+    console=True,
+    disable_windowed_traceback=False,
+    argv_emulation=False,
+    target_arch=None,
+    codesign_identity=None,
+    entitlements_file=None,
+)

devkit/sensor_server.py

@@ -0,0 +1,323 @@
+"""
+JE-Skin DevKit — Python gRPC Sensor Server
+
+提供两个服务：
+1. SensorPush (streaming) — 接收实时传感器帧
+2. ExportProcessor (unary) — 处理导出的 CSV 文件：梯度过滤、xlsx 转换
+
+安装依赖：
+    pip install grpcio grpcio-tools openpyxl
+
+生成 gRPC 代码：
+    python -m grpc_tools.protoc -I../src-tauri/proto --python_out=. --grpc_python_out=. ../src-tauri/proto/sensor_stream.proto
+
+启动：
+    python sensor_server.py [--port 50051]
+"""
+
+from __future__ import annotations
+
+import argparse
+import csv
+import os
+import signal
+import statistics
+import sys
+import time
+from concurrent import futures
+from pathlib import Path
+
+import grpc
+import sensor_stream_pb2
+import sensor_stream_pb2_grpc
+
+# ── 梯度过滤逻辑（来自用户的 main.py） ─────────────────────────
+
+
+def load_rows(path: Path) -> list[list[str]]:
+    with path.open("r", encoding="utf-8-sig", newline="") as f:
+        return [row for row in csv.reader(f) if row]
+
+
+def row_sum(row: list[str]) -> float:
+    return sum(float(v) for v in row[1:] if v.strip())
+
+
+def find_threshold(sum_values: list[float]) -> float:
+    if len(sum_values) < 2:
+        raise ValueError("At least two rows are required.")
+    sorted_v = sorted(sum_values)
+    idx = max(
+        range(len(sorted_v) - 1),
+        key=lambda i: sorted_v[i + 1] - sorted_v[i],
+    )
+    return (sorted_v[idx] + sorted_v[idx + 1]) / 2.0
+
+
+def extract_press_groups(
+    rows: list[list[str]], sum_values: list[float], threshold: float
+) -> tuple[list[list[str]], list[float]]:
+    filtered: list[list[str]] = []
+    group_means: list[float] = []
+    current_group: list[float] = []
+
+    for row, total in zip(rows, sum_values):
+        if total >= threshold:
+            filtered.append(row)
+            current_group.append(total)
+            continue
+        if current_group:
+            group_means.append(statistics.fmean(current_group))
+            current_group = []
+
+    if current_group:
+        group_means.append(statistics.fmean(current_group))
+
+    return filtered, group_means
+
+
+def write_csv(path: Path, rows: list[list[str]]) -> Path:
+    out = path.with_name(f"{path.stem}_filtered.csv")
+    with out.open("w", encoding="utf-8-sig", newline="") as f:
+        csv.writer(f).writerows(rows)
+    return out
+
+
+def write_xlsx(path: Path, rows: list[list[str]], stats: dict) -> Path:
+    """将过滤后的数据和统计信息写入 xlsx"""
+    try:
+        import openpyxl
+    except ImportError:
+        raise RuntimeError("openpyxl is required for xlsx output. Install it with: pip install openpyxl")
+
+    from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
+
+    wb = openpyxl.Workbook()
+
+    # Sheet 1: 过滤后的数据
+    ws_data = wb.active
+    ws_data.title = "Filtered Data"
+    for row in rows:
+        ws_data.append([float(c) if c.strip().replace(".", "").replace("-", "").isdigit() else c for c in row])
+
+    # Sheet 2: 统计信息
+    ws_stats = wb.create_sheet("Statistics")
+    header_font = Font(bold=True, size=11)
+    header_fill = PatternFill(start_color="E0E0E0", end_color="E0E0E0", fill_type="solid")
+
+    ws_stats.append(["Parameter", "Value"])
+    ws_stats["A1"].font = header_font
+    ws_stats["A1"].fill = header_fill
+    ws_stats["B1"].font = header_font
+    ws_stats["B1"].fill = header_fill
+
+    stats_rows = [
+        ("Source File", stats.get("source_file", "")),
+        ("Total Rows", stats.get("rows_total", 0)),
+        ("Filtered Rows", stats.get("rows_kept", 0)),
+        ("Groups Used", stats.get("groups_used", 0)),
+        ("Mean Value", f"{stats.get('mean_value', 0):.3f}"),
+        ("Threshold", f"{stats.get('threshold', 0):.3f}"),
+        ("Process Time", stats.get("process_time", "")),
+    ]
+    for label, value in stats_rows:
+        ws_stats.append([label, value])
+
+    ws_stats.column_dimensions["A"].width = 18
+    ws_stats.column_dimensions["B"].width = 30
+
+    out = path.with_name(f"{path.stem}_filtered.xlsx")
+    wb.save(str(out))
+    return out
+
+
+def process_csv(csv_path: str, save_as_xlsx: bool) -> dict:
+    """执行梯度过滤，返回结果统计"""
+    path = Path(csv_path)
+    if not path.is_file():
+        raise FileNotFoundError(f"CSV file not found: {csv_path}")
+
+    rows = load_rows(path)
+    if not rows:
+        raise ValueError("CSV file is empty.")
+
+    sum_values = [row_sum(r) for r in rows]
+    threshold = find_threshold(sum_values)
+    filtered_rows, group_means = extract_press_groups(rows, sum_values, threshold)
+
+    if not filtered_rows:
+        raise ValueError("No large press-down data was found.")
+
+    overall_mean = statistics.fmean(group_means)
+
+    stats = {
+        "source_file": path.name,
+        "rows_total": len(rows),
+        "rows_kept": len(filtered_rows),
+        "groups_used": len(group_means),
+        "mean_value": overall_mean,
+        "threshold": threshold,
+        "process_time": time.strftime("%Y-%m-%d %H:%M:%S"),
+    }
+
+    if save_as_xlsx:
+        output_path = write_xlsx(path, filtered_rows, stats)
+        # 删除源 CSV
+        try:
+            path.unlink()
+        except OSError:
+            pass
+    else:
+        output_path = write_csv(path, filtered_rows)
+        # 用过滤后的文件替换源文件
+        try:
+            path.unlink()
+            output_path.rename(path)
+            output_path = path
+        except OSError:
+            pass
+
+    # 追加一行到汇总 xlsx
+    _append_analysis_log(csv_path, stats)
+
+    return {
+        "ok": True,
+        "output_path": str(output_path),
+        "groups_used": len(group_means),
+        "mean_value": overall_mean,
+        "threshold": threshold,
+        "rows_total": len(rows),
+        "rows_kept": len(filtered_rows),
+        "message": "OK",
+    }
+
+
+def _append_analysis_log(source_csv: str, stats: dict):
+    """将处理结果追加到 devkit_analysis_results.xlsx"""
+    try:
+        import openpyxl
+    except ImportError:
+        return  # openpyxl 不可用时跳过
+
+    log_path = Path(source_csv).parent / "devkit_analysis_results.xlsx"
+
+    if log_path.exists():
+        wb = openpyxl.load_workbook(str(log_path))
+        ws = wb.active
+    else:
+        wb = openpyxl.Workbook()
+        ws = wb.active
+        ws.title = "Analysis Log"
+        ws.append(["Time", "Source File", "Total Rows", "Kept Rows",
+                    "Groups", "Mean Value", "Threshold", "Output File"])
+
+    ws.append([
+        stats.get("process_time", ""),
+        stats.get("source_file", ""),
+        stats.get("rows_total", 0),
+        stats.get("rows_kept", 0),
+        stats.get("groups_used", 0),
+        round(stats.get("mean_value", 0), 3),
+        round(stats.get("threshold", 0), 3),
+        f"{Path(stats.get('source_file', '')).stem}_filtered",
+    ])
+
+    wb.save(str(log_path))
+
+
+# ── gRPC 服务实现 ────────────────────────────────────────────────
+
+
+class SensorPushServicer(sensor_stream_pb2_grpc.SensorPushServicer):
+    """接收实时传感器帧（streaming）"""
+
+    def __init__(self):
+        self.frame_count = 0
+        self.last_report_time = time.time()
+
+    def Upload(self, request_iterator, context):
+        print("[SensorPush] Client connected, waiting for frames...")
+
+        for frame in request_iterator:
+            self.frame_count += 1
+            if self.frame_count % 100 == 0:
+                now = time.time()
+                elapsed = now - self.last_report_time
+                fps = 100 / elapsed if elapsed > 0 else 0
+                self.last_report_time = now
+                print(
+                    f"[SensorPush] Frame #{frame.seq} | "
+                    f"{frame.rows}x{frame.cols} | "
+                    f"force={frame.resultant_force:.1f} | "
+                    f"total={self.frame_count} | ~{fps:.1f} fps"
+                )
+
+        print(f"[SensorPush] Stream ended. Total: {self.frame_count}")
+        return sensor_stream_pb2.UploadResponse(
+            ok=True,
+            frames_received=self.frame_count,
+            message=f"Processed {self.frame_count} frames",
+        )
+
+
+class ExportProcessorServicer(sensor_stream_pb2_grpc.ExportProcessorServicer):
+    """处理导出的 CSV 文件（unary）"""
+
+    def ProcessFile(self, request, context):
+        csv_path = request.csv_path
+        save_as_xlsx = request.save_as_xlsx
+
+        print(f"[ExportProcessor] Processing: {csv_path} (xlsx={save_as_xlsx})")
+
+        try:
+            result = process_csv(csv_path, save_as_xlsx)
+            return sensor_stream_pb2.ProcessResponse(
+                ok=result["ok"],
+                output_path=result["output_path"],
+                groups_used=result["groups_used"],
+                mean_value=result["mean_value"],
+                threshold=result["threshold"],
+                rows_total=result["rows_total"],
+                rows_kept=result["rows_kept"],
+                message=result["message"],
+            )
+        except Exception as e:
+            print(f"[ExportProcessor] Error: {e}")
+            return sensor_stream_pb2.ProcessResponse(
+                ok=False,
+                output_path="",
+                message=str(e),
+            )
+
+
+# ── 启动 ────────────────────────────────────────────────────────
+
+
+def serve(port: int):
+    server = grpc.server(futures.ThreadPoolExecutor(max_workers=4))
+    sensor_stream_pb2_grpc.add_SensorPushServicer_to_server(SensorPushServicer(), server)
+    sensor_stream_pb2_grpc.add_ExportProcessorServicer_to_server(ExportProcessorServicer(), server)
+
+    listen_addr = f"0.0.0.0:{port}"
+    server.add_insecure_port(listen_addr)
+    server.start()
+
+    print(f"[DevKit Server] gRPC listening on {listen_addr}")
+    print(f"[DevKit Server] Services: SensorPush (streaming), ExportProcessor (unary)")
+
+    def shutdown(signum, frame):
+        print("\n[DevKit Server] Shutting down...")
+        server.stop(grace=5)
+        sys.exit(0)
+
+    signal.signal(signal.SIGINT, shutdown)
+    signal.signal(signal.SIGTERM, shutdown)
+
+    server.wait_for_termination()
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="JE-Skin DevKit gRPC Server")
+    parser.add_argument("--port", type=int, default=50051, help="gRPC listen port (default: 50051)")
+    args = parser.parse_args()
+    serve(args.port)

devkit/sensor_stream_pb2.py

@@ -0,0 +1,46 @@
+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# NO CHECKED-IN PROTOBUF GENCODE
+# source: sensor_stream.proto
+# Protobuf Python Version: 6.31.1
+"""Generated protocol buffer code."""
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import descriptor_pool as _descriptor_pool
+from google.protobuf import runtime_version as _runtime_version
+from google.protobuf import symbol_database as _symbol_database
+from google.protobuf.internal import builder as _builder
+_runtime_version.ValidateProtobufRuntimeVersion(
+    _runtime_version.Domain.PUBLIC,
+    6,
+    31,
+    1,
+    '',
+    'sensor_stream.proto'
+)
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13sensor_stream.proto\x12\rsensor_stream\"\x85\x01\n\x0bSensorFrame\x12\x0b\n\x03seq\x18\x01 \x01(\x04\x12\x14\n\x0ctimestamp_ms\x18\x02 \x01(\x04\x12\x0c\n\x04rows\x18\x03 \x01(\r\x12\x0c\n\x04\x63ols\x18\x04 \x01(\r\x12\x0e\n\x06matrix\x18\x05 \x03(\r\x12\x17\n\x0fresultant_force\x18\x06 \x01(\x01\x12\x0e\n\x06\x64ts_ms\x18\x07 \x01(\r\"F\n\x0eUploadResponse\x12\n\n\x02ok\x18\x01 \x01(\x08\x12\x17\n\x0f\x66rames_received\x18\x02 \x01(\x04\x12\x0f\n\x07message\x18\x03 \x01(\t\"8\n\x0eProcessRequest\x12\x10\n\x08\x63sv_path\x18\x01 \x01(\t\x12\x14\n\x0csave_as_xlsx\x18\x02 \x01(\x08\"\xa6\x01\n\x0fProcessResponse\x12\n\n\x02ok\x18\x01 \x01(\x08\x12\x13\n\x0boutput_path\x18\x02 \x01(\t\x12\x13\n\x0bgroups_used\x18\x03 \x01(\r\x12\x12\n\nmean_value\x18\x04 \x01(\x01\x12\x11\n\tthreshold\x18\x05 \x01(\x01\x12\x12\n\nrows_total\x18\x06 \x01(\r\x12\x11\n\trows_kept\x18\x07 \x01(\r\x12\x0f\n\x07message\x18\x08 \x01(\t2S\n\nSensorPush\x12\x45\n\x06Upload\x12\x1a.sensor_stream.SensorFrame\x1a\x1d.sensor_stream.UploadResponse(\x01\x32_\n\x0f\x45xportProcessor\x12L\n\x0bProcessFile\x12\x1d.sensor_stream.ProcessRequest\x1a\x1e.sensor_stream.ProcessResponseb\x06proto3')
+
+_globals = globals()
+_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
+_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'sensor_stream_pb2', _globals)
+if not _descriptor._USE_C_DESCRIPTORS:
+  DESCRIPTOR._loaded_options = None
+  _globals['_SENSORFRAME']._serialized_start=39
+  _globals['_SENSORFRAME']._serialized_end=172
+  _globals['_UPLOADRESPONSE']._serialized_start=174
+  _globals['_UPLOADRESPONSE']._serialized_end=244
+  _globals['_PROCESSREQUEST']._serialized_start=246
+  _globals['_PROCESSREQUEST']._serialized_end=302
+  _globals['_PROCESSRESPONSE']._serialized_start=305
+  _globals['_PROCESSRESPONSE']._serialized_end=471
+  _globals['_SENSORPUSH']._serialized_start=473
+  _globals['_SENSORPUSH']._serialized_end=556
+  _globals['_EXPORTPROCESSOR']._serialized_start=558
+  _globals['_EXPORTPROCESSOR']._serialized_end=653
+# @@protoc_insertion_point(module_scope)

devkit/sensor_stream_pb2_grpc.py

@@ -0,0 +1,175 @@
+# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
+"""Client and server classes corresponding to protobuf-defined services."""
+import grpc
+import warnings
+
+import sensor_stream_pb2 as sensor__stream__pb2
+
+GRPC_GENERATED_VERSION = '1.80.0'
+GRPC_VERSION = grpc.__version__
+_version_not_supported = False
+
+try:
+    from grpc._utilities import first_version_is_lower
+    _version_not_supported = first_version_is_lower(GRPC_VERSION, GRPC_GENERATED_VERSION)
+except ImportError:
+    _version_not_supported = True
+
+if _version_not_supported:
+    raise RuntimeError(
+        f'The grpc package installed is at version {GRPC_VERSION},'
+        + ' but the generated code in sensor_stream_pb2_grpc.py depends on'
+        + f' grpcio>={GRPC_GENERATED_VERSION}.'
+        + f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}'
+        + f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.'
+    )
+
+
+class SensorPushStub(object):
+    """传感器数据推送服务 —— Rust 端作为 gRPC client 推送实时帧
+    """
+
+    def __init__(self, channel):
+        """Constructor.
+
+        Args:
+            channel: A grpc.Channel.
+        """
+        self.Upload = channel.stream_unary(
+                '/sensor_stream.SensorPush/Upload',
+                request_serializer=sensor__stream__pb2.SensorFrame.SerializeToString,
+                response_deserializer=sensor__stream__pb2.UploadResponse.FromString,
+                _registered_method=True)
+
+
+class SensorPushServicer(object):
+    """传感器数据推送服务 —— Rust 端作为 gRPC client 推送实时帧
+    """
+
+    def Upload(self, request_iterator, context):
+        """Missing associated documentation comment in .proto file."""
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+
+def add_SensorPushServicer_to_server(servicer, server):
+    rpc_method_handlers = {
+            'Upload': grpc.stream_unary_rpc_method_handler(
+                    servicer.Upload,
+                    request_deserializer=sensor__stream__pb2.SensorFrame.FromString,
+                    response_serializer=sensor__stream__pb2.UploadResponse.SerializeToString,
+            ),
+    }
+    generic_handler = grpc.method_handlers_generic_handler(
+            'sensor_stream.SensorPush', rpc_method_handlers)
+    server.add_generic_rpc_handlers((generic_handler,))
+    server.add_registered_method_handlers('sensor_stream.SensorPush', rpc_method_handlers)
+
+
+ # This class is part of an EXPERIMENTAL API.
+class SensorPush(object):
+    """传感器数据推送服务 —— Rust 端作为 gRPC client 推送实时帧
+    """
+
+    @staticmethod
+    def Upload(request_iterator,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.stream_unary(
+            request_iterator,
+            target,
+            '/sensor_stream.SensorPush/Upload',
+            sensor__stream__pb2.SensorFrame.SerializeToString,
+            sensor__stream__pb2.UploadResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+
+class ExportProcessorStub(object):
+    """导出后处理服务 —— Rust 导出 CSV 后将路径发给 Python 做梯度过滤
+    """
+
+    def __init__(self, channel):
+        """Constructor.
+
+        Args:
+            channel: A grpc.Channel.
+        """
+        self.ProcessFile = channel.unary_unary(
+                '/sensor_stream.ExportProcessor/ProcessFile',
+                request_serializer=sensor__stream__pb2.ProcessRequest.SerializeToString,
+                response_deserializer=sensor__stream__pb2.ProcessResponse.FromString,
+                _registered_method=True)
+
+
+class ExportProcessorServicer(object):
+    """导出后处理服务 —— Rust 导出 CSV 后将路径发给 Python 做梯度过滤
+    """
+
+    def ProcessFile(self, request, context):
+        """Missing associated documentation comment in .proto file."""
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+
+def add_ExportProcessorServicer_to_server(servicer, server):
+    rpc_method_handlers = {
+            'ProcessFile': grpc.unary_unary_rpc_method_handler(
+                    servicer.ProcessFile,
+                    request_deserializer=sensor__stream__pb2.ProcessRequest.FromString,
+                    response_serializer=sensor__stream__pb2.ProcessResponse.SerializeToString,
+            ),
+    }
+    generic_handler = grpc.method_handlers_generic_handler(
+            'sensor_stream.ExportProcessor', rpc_method_handlers)
+    server.add_generic_rpc_handlers((generic_handler,))
+    server.add_registered_method_handlers('sensor_stream.ExportProcessor', rpc_method_handlers)
+
+
+ # This class is part of an EXPERIMENTAL API.
+class ExportProcessor(object):
+    """导出后处理服务 —— Rust 导出 CSV 后将路径发给 Python 做梯度过滤
+    """
+
+    @staticmethod
+    def ProcessFile(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/sensor_stream.ExportProcessor/ProcessFile',
+            sensor__stream__pb2.ProcessRequest.SerializeToString,
+            sensor__stream__pb2.ProcessResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)

package-lock.json

@@ -11,6 +11,8 @@
       "dependencies": {
         "@tauri-apps/api": "^2",
         "@tauri-apps/plugin-opener": "^2",
+        "@tauri-apps/plugin-process": "^2.3.1",
+        "@tauri-apps/plugin-updater": "^2.10.1",
         "three": "^0.183.2"
       },
       "devDependencies": {
@@ -1280,6 +1282,24 @@
         "@tauri-apps/api": "^2.8.0"
       }
     },
+    "node_modules/@tauri-apps/plugin-process": {
+      "version": "2.3.1",
+      "resolved": "https://registry.npmjs.org/@tauri-apps/plugin-process/-/plugin-process-2.3.1.tgz",
+      "integrity": "sha512-nCa4fGVaDL/B9ai03VyPOjfAHRHSBz5v6F/ObsB73r/dA3MHHhZtldaDMIc0V/pnUw9ehzr2iEG+XkSEyC0JJA==",
+      "license": "MIT OR Apache-2.0",
+      "dependencies": {
+        "@tauri-apps/api": "^2.8.0"
+      }
+    },
+    "node_modules/@tauri-apps/plugin-updater": {
+      "version": "2.10.1",
+      "resolved": "https://registry.npmjs.org/@tauri-apps/plugin-updater/-/plugin-updater-2.10.1.tgz",
+      "integrity": "sha512-NFYMg+tWOZPJdzE/PpFj2qfqwAWwNS3kXrb1tm1gnBJ9mYzZ4WDRrwy8udzWoAnfGCHLuePNLY1WVCNHnh3eRA==",
+      "license": "MIT OR Apache-2.0",
+      "dependencies": {
+        "@tauri-apps/api": "^2.10.1"
+      }
+    },
     "node_modules/@tweenjs/tween.js": {
       "version": "23.1.3",
       "resolved": "https://registry.npmjs.org/@tweenjs/tween.js/-/tween.js-23.1.3.tgz",

package.json

@@ -9,12 +9,16 @@
     "preview": "vite preview",
     "check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
     "check:watch": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json --watch",
-    "tauri": "tauri"
+    "tauri": "tauri",
+    "tauri:devkit": "tauri dev -- --features devkit",
+    "tauri:devkit:build": "tauri build -- --features devkit"
   },
   "license": "MIT",
   "dependencies": {
     "@tauri-apps/api": "^2",
     "@tauri-apps/plugin-opener": "^2",
+    "@tauri-apps/plugin-process": "^2.3.1",
+    "@tauri-apps/plugin-updater": "^2.10.1",
     "three": "^0.183.2"
   },
   "devDependencies": {

src-tauri/Cargo.toml

@@ -14,14 +14,26 @@ edition = "2021"
 name = "tauri_demo_lib"
 crate-type = ["staticlib", "cdylib", "rlib"]
 
+[features]
+default = []
+devkit = ["dep:tonic", "dep:prost", "dep:prost-types", "dep:async-stream", "dep:dirs"]
+
 [build-dependencies]
 tauri-build = { version = "2", features = [] }
+tonic-build = { version = "0.12" }
+protoc-bin-vendored = "3"
 
 [dependencies]
 tauri = { version = "2", features = ["tray-icon"] }
 tauri-plugin-opener = "2"
+tauri-plugin-process = "2"
 serde = { version = "1", features = ["derive"] }
 anyhow = "1.0.102"
+tonic = { version = "0.12", optional = true }
+prost = { version = "0.13", optional = true }
+prost-types = { version = "0.13", optional = true }
+async-stream = { version = "0.3", optional = true }
+dirs = { version = "6", optional = true }
 tokio-serial = { version = "5.4.5" }
 tokio = { version = "1.50.0", features = ["full"] }
 async-trait = "0.1.89"
@@ -33,3 +45,12 @@ humantime = "2.3.0"
 csv = "1.4.0"
 chrono = "0.4.44"
 crc = "3.4.0"
+axum = { version = "0.8", features = ["ws"] }
+tower-http = { version = "0.6", features = ["cors"] }
+futures-util = "0.3"
+uuid = { version = "1", features = ["v4", "serde"] }
+rand = "0.8"
+reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
+
+[target.'cfg(not(any(target_os = "android", target_os = "ios")))'.dependencies]
+tauri-plugin-updater = "2"

src-tauri/build.rs

@@ -1,3 +1,11 @@
 fn main() {
+    if std::env::var("CARGO_FEATURE_DEVKIT").is_ok() {
+        let protoc = protoc_bin_vendored::protoc_bin_path()
+            .unwrap_or_else(|error| panic!("Failed to resolve bundled protoc: {error}"));
+        std::env::set_var("PROTOC", protoc);
+        tonic_build::compile_protos("proto/sensor_stream.proto")
+            .unwrap_or_else(|error| panic!("Failed to compile devkit proto: {error}"));
+    }
+
     tauri_build::build()
 }

src-tauri/capabilities/default.json

@@ -10,6 +10,8 @@
     "core:window:allow-inner-size",
     "core:window:allow-set-size",
     "core:window:allow-start-dragging",
-    "opener:default"
+    "opener:default",
+    "process:default",
+    "updater:default"
   ]
 }

src-tauri/proto/sensor_stream.proto

@@ -0,0 +1,49 @@
+syntax = "proto3";
+
+package sensor_stream;
+
+// 传感器数据推送服务 —— Rust 端作为 gRPC client 推送实时帧
+service SensorPush {
+  rpc Upload (stream SensorFrame) returns (UploadResponse);
+}
+
+// 导出后处理服务 —— Rust 导出 CSV 后将路径发给 Python 做梯度过滤
+service ExportProcessor {
+  rpc ProcessFile (ProcessRequest) returns (ProcessResponse);
+}
+
+// 一帧传感器数据
+message SensorFrame {
+  uint64 seq = 1;
+  uint64 timestamp_ms = 2;
+  uint32 rows = 3;
+  uint32 cols = 4;
+  repeated uint32 matrix = 5;
+  double resultant_force = 6;
+  uint32 dts_ms = 7;
+}
+
+// 上传确认响应
+message UploadResponse {
+  bool ok = 1;
+  uint64 frames_received = 2;
+  string message = 3;
+}
+
+// 导出处理请求
+message ProcessRequest {
+  string csv_path = 1;        // 导出的 CSV 文件路径
+  bool save_as_xlsx = 2;      // 是否以 xlsx 保存（删除源 CSV）
+}
+
+// 导出处理响应
+message ProcessResponse {
+  bool ok = 1;
+  string output_path = 2;     // 输出文件路径
+  uint32 groups_used = 3;     // 分组数
+  double mean_value = 4;      // 均值
+  double threshold = 5;       // 梯度阈值
+  uint32 rows_total = 6;      // 原始行数
+  uint32 rows_kept = 7;       // 保留行数
+  string message = 8;
+}

src-tauri/src/commands/devkit.rs

@@ -0,0 +1,47 @@
+//! DevKit Tauri 命令
+//!
+//! 仅在 `devkit` feature 启用时编译。
+
+use tauri::State;
+
+use crate::devkit::{DevKitConfig, DevKitState, DevKitStatusSnapshot, ExportProcessResult};
+
+#[tauri::command]
+pub fn devkit_status(state: State<'_, DevKitState>) -> DevKitStatusSnapshot {
+    state.status()
+}
+
+#[tauri::command]
+pub async fn devkit_start(state: State<'_, DevKitState>, port: Option<u16>) -> Result<DevKitStatusSnapshot, String> {
+    let target_port = port.unwrap_or(50051);
+    state.start(target_port).await?;
+    Ok(state.status())
+}
+
+#[tauri::command]
+pub async fn devkit_stop(state: State<'_, DevKitState>) -> Result<DevKitStatusSnapshot, String> {
+    state.stop().await?;
+    Ok(state.status())
+}
+
+#[tauri::command]
+pub fn devkit_get_config(state: State<'_, DevKitState>) -> DevKitConfig {
+    state.get_config()
+}
+
+#[tauri::command]
+pub fn devkit_set_config(state: State<'_, DevKitState>, config: DevKitConfig) -> Result<DevKitConfig, String> {
+    state.set_config(config)?;
+    Ok(state.get_config())
+}
+
+#[tauri::command]
+pub async fn devkit_process_export(
+    state: State<'_, DevKitState>,
+    csv_path: String,
+    save_as_xlsx: Option<bool>,
+) -> Result<ExportProcessResult, String> {
+    let config = state.get_config();
+    let use_xlsx = save_as_xlsx.unwrap_or(config.save_as_xlsx);
+    state.process_export(&csv_path, use_xlsx).await
+}

src-tauri/src/commands/mod.rs

@@ -1,3 +1,6 @@
 pub mod file_explorer;
 pub mod serial;
 pub mod window;
+
+#[cfg(feature = "devkit")]
+pub mod devkit;

src-tauri/src/devkit/client.rs

@@ -0,0 +1,268 @@
+//! DevKit gRPC Client
+//!
+//! Rust 端作为 gRPC client：
+//! 1. 以 client-streaming 方式推送实时帧（SensorPush.Upload）
+//! 2. 以 unary 方式发送导出文件路径做后处理（ExportProcessor.ProcessFile）
+
+use std::path::PathBuf;
+use std::sync::atomic::{AtomicBool, AtomicU32, Ordering};
+use std::sync::Arc;
+
+use tokio::sync::mpsc;
+use tokio::task::JoinHandle;
+use serde::{Deserialize, Serialize};
+
+use super::proto::sensor_push_client::SensorPushClient;
+use super::proto::export_processor_client::ExportProcessorClient;
+use super::proto::{ProcessRequest, SensorFrame};
+
+// ── DevKit 配置 ────────────────────────────────────────────────────
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "camelCase")]
+pub struct DevKitConfig {
+    /// 导出过滤抬起：导出 CSV 后自动调用 Python 做梯度过滤
+    pub filter_lift_enabled: bool,
+    /// 以 xlsx 保存：Python 处理后输出 xlsx 并删除源 CSV
+    pub save_as_xlsx: bool,
+}
+
+impl Default for DevKitConfig {
+    fn default() -> Self {
+        Self {
+            filter_lift_enabled: true,
+            save_as_xlsx: false,
+        }
+    }
+}
+
+impl DevKitConfig {
+    fn config_path() -> PathBuf {
+        let base = dirs::config_dir()
+            .or_else(|| dirs::data_dir())
+            .unwrap_or_else(|| PathBuf::from("."));
+        base.join("JE-Skin").join("devkit_config.json")
+    }
+
+    /// 从文件加载配置，失败则返回默认值
+    pub fn load() -> Self {
+        let path = Self::config_path();
+        match std::fs::read_to_string(&path) {
+            Ok(content) => serde_json::from_str(&content).unwrap_or_default(),
+            Err(_) => Self::default(),
+        }
+    }
+
+    /// 保存配置到文件
+    pub fn save(&self) -> Result<(), String> {
+        let path = Self::config_path();
+        if let Some(parent) = path.parent() {
+            std::fs::create_dir_all(parent)
+                .map_err(|e| format!("Failed to create config dir: {e}"))?;
+        }
+        let json = serde_json::to_string_pretty(self)
+            .map_err(|e| format!("Failed to serialize config: {e}"))?;
+        std::fs::write(&path, json)
+            .map_err(|e| format!("Failed to write config: {e}"))?;
+        Ok(())
+    }
+}
+
+// ── 导出处理结果 ───────────────────────────────────────────────────
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "camelCase")]
+pub struct ExportProcessResult {
+    pub ok: bool,
+    pub output_path: String,
+    pub groups_used: u32,
+    pub mean_value: f64,
+    pub threshold: f64,
+    pub rows_total: u32,
+    pub rows_kept: u32,
+    pub message: String,
+}
+
+// ── Tauri 状态 ─────────────────────────────────────────────────────
+
+/// DevKit 全局状态，由 Tauri manage
+#[derive(Clone)]
+pub struct DevKitState {
+    pub running: Arc<AtomicBool>,
+    pub port: Arc<std::sync::Mutex<u16>>,
+    pub frame_count: Arc<AtomicU32>,
+    pub config: Arc<std::sync::Mutex<DevKitConfig>>,
+    frame_tx: Arc<std::sync::Mutex<Option<mpsc::Sender<SensorFrame>>>>,
+    client_handle: Arc<std::sync::Mutex<Option<JoinHandle<()>>>>,
+}
+
+impl Default for DevKitState {
+    fn default() -> Self {
+        Self {
+            running: Arc::new(AtomicBool::new(false)),
+            port: Arc::new(std::sync::Mutex::new(50051)),
+            frame_count: Arc::new(AtomicU32::new(0)),
+            config: Arc::new(std::sync::Mutex::new(DevKitConfig::load())),
+            frame_tx: Arc::new(std::sync::Mutex::new(None)),
+            client_handle: Arc::new(std::sync::Mutex::new(None)),
+        }
+    }
+}
+
+/// 前端查询到的状态快照
+#[derive(Serialize, Clone)]
+#[serde(rename_all = "camelCase")]
+pub struct DevKitStatusSnapshot {
+    pub enabled: bool,
+    pub running: bool,
+    pub port: u16,
+    pub frames_sent: u32,
+    pub config: DevKitConfig,
+}
+
+impl DevKitState {
+    pub fn status(&self) -> DevKitStatusSnapshot {
+        let cfg = self.config.lock().unwrap().clone();
+        DevKitStatusSnapshot {
+            enabled: true,
+            running: self.running.load(Ordering::SeqCst),
+            port: *self.port.lock().unwrap(),
+            frames_sent: self.frame_count.load(Ordering::SeqCst),
+            config: cfg,
+        }
+    }
+
+    /// 获取当前配置
+    pub fn get_config(&self) -> DevKitConfig {
+        self.config.lock().unwrap().clone()
+    }
+
+    /// 更新配置并持久化
+    pub fn set_config(&self, new_config: DevKitConfig) -> Result<(), String> {
+        new_config.save()?;
+        *self.config.lock().unwrap() = new_config;
+        Ok(())
+    }
+
+    /// 启动 gRPC client，连接到 Python server 并开始推送数据
+    pub async fn start(&self, port: u16) -> Result<(), String> {
+        if self.running.load(Ordering::SeqCst) {
+            return Err("AlreadyRunning".into());
+        }
+
+        let addr = format!("http://127.0.0.1:{port}");
+        *self.port.lock().unwrap() = port;
+        self.running.store(true, Ordering::SeqCst);
+        self.frame_count.store(0, Ordering::SeqCst);
+
+        // mpsc channel: 主线程 send 帧 → gRPC task 推送给 Python
+        let (tx, rx) = mpsc::channel::<SensorFrame>(512);
+        *self.frame_tx.lock().unwrap() = Some(tx);
+
+        let running = Arc::clone(&self.running);
+        let frame_count = Arc::clone(&self.frame_count);
+
+        let handle = tokio::spawn(async move {
+            if let Err(e) = run_grpc_upload(addr, rx, frame_count).await {
+                ::log::error!("DevKit gRPC upload error: {e:?}");
+            }
+            running.store(false, Ordering::SeqCst);
+        });
+
+        *self.client_handle.lock().unwrap() = Some(handle);
+        ::log::info!("DevKit gRPC client started, connecting to 127.0.0.1:{port}");
+        Ok(())
+    }
+
+    /// 停止 gRPC client
+    pub async fn stop(&self) -> Result<(), String> {
+        if !self.running.load(Ordering::SeqCst) {
+            return Err("NotRunning".into());
+        }
+
+        *self.frame_tx.lock().unwrap() = None;
+
+        if let Some(handle) = self.client_handle.lock().unwrap().take() {
+            handle.abort();
+        }
+
+        self.running.store(false, Ordering::SeqCst);
+        ::log::info!("DevKit gRPC client stopped");
+        Ok(())
+    }
+
+    /// 推送一帧数据到 gRPC stream（由主线程调用）
+    pub fn push_frame(&self, frame: SensorFrame) {
+        if !self.running.load(Ordering::SeqCst) {
+            return;
+        }
+        if let Some(tx) = self.frame_tx.lock().unwrap().as_ref() {
+            let _ = tx.try_send(frame);
+        }
+    }
+
+    /// 调用 Python ExportProcessor.ProcessFile 做导出后处理（unary）
+    pub async fn process_export(
+        &self,
+        csv_path: &str,
+        save_as_xlsx: bool,
+    ) -> Result<ExportProcessResult, String> {
+        let port = *self.port.lock().unwrap();
+        let addr = format!("http://127.0.0.1:{port}");
+
+        let mut client = ExportProcessorClient::connect(addr)
+            .await
+            .map_err(|e| format!("Failed to connect to DevKit server: {e}"))?;
+
+        let request = ProcessRequest {
+            csv_path: csv_path.to_string(),
+            save_as_xlsx,
+        };
+
+        let response = client
+            .process_file(request)
+            .await
+            .map_err(|e| format!("ProcessFile RPC failed: {e}"))?;
+
+        let resp = response.into_inner();
+        Ok(ExportProcessResult {
+            ok: resp.ok,
+            output_path: resp.output_path,
+            groups_used: resp.groups_used,
+            mean_value: resp.mean_value,
+            threshold: resp.threshold,
+            rows_total: resp.rows_total,
+            rows_kept: resp.rows_kept,
+            message: resp.message,
+        })
+    }
+}
+
+// ── gRPC Upload Client ─────────────────────────────────────────────
+
+async fn run_grpc_upload(
+    addr: String,
+    mut rx: mpsc::Receiver<SensorFrame>,
+    frame_count: Arc<AtomicU32>,
+) -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
+    let mut client = SensorPushClient::connect(addr.clone()).await?;
+
+    let stream = async_stream::stream! {
+        while let Some(frame) = rx.recv().await {
+            frame_count.fetch_add(1, Ordering::SeqCst);
+            yield frame;
+        }
+    };
+
+    let response = client.upload(stream).await?;
+    let resp = response.into_inner();
+
+    ::log::info!(
+        "DevKit upload complete: ok={}, frames={}, msg={}",
+        resp.ok,
+        resp.frames_received,
+        resp.message
+    );
+
+    Ok(())
+}

src-tauri/src/devkit/mod.rs

@@ -0,0 +1,13 @@
+//! Develop Kit 模块
+//!
+//! 仅在 `devkit` feature 启用时编译。
+//! Rust 端作为 gRPC client，将传感器压力矩阵数据实时推送给 Python gRPC server。
+
+mod client;
+
+pub use client::{DevKitConfig, DevKitState, DevKitStatusSnapshot, ExportProcessResult};
+
+// 导入 tonic 生成的 gRPC 代码
+pub mod proto {
+    tonic::include_proto!("sensor_stream");
+}

src-tauri/src/lib.rs

@@ -1,27 +1,147 @@
 mod commands;
-pub mod serial_core;
+mod lan_game;
 pub mod log;
+pub mod serial_core;
+
+#[cfg(feature = "devkit")]
+pub mod devkit;
+
 use commands::serial::SerialConnectionState;
+#[cfg(feature = "devkit")]
+use tauri::Manager;
+
+#[cfg(feature = "devkit")]
+fn start_server_exe(exe_path: &std::path::Path) {
+    let mut command = std::process::Command::new(exe_path);
+    command.arg("--port").arg("50051");
+
+    #[cfg(target_os = "windows")]
+    {
+        use std::os::windows::process::CommandExt;
+        command.creation_flags(0x08000000);
+    }
+
+    match command.spawn() {
+        Ok(_) => ::log::info!("DevKit Python server started: {}", exe_path.display()),
+        Err(error) => ::log::warn!("Failed to start DevKit Python server: {error}"),
+    }
+}
 
 #[cfg_attr(mobile, tauri::mobile_entry_point)]
 pub fn run() {
-    tauri::Builder::default()
+    let builder = tauri::Builder::default()
+        .plugin(tauri_plugin_process::init())
         .manage(SerialConnectionState::default())
-        .plugin(tauri_plugin_opener::init())
+        .plugin(tauri_plugin_opener::init());
-        .invoke_handler(tauri::generate_handler![
+
-            commands::file_explorer::file_explorer_list,
+    #[cfg(not(any(target_os = "android", target_os = "ios")))]
-            commands::serial::serial_enum,
+    let builder = builder.plugin(tauri_plugin_updater::Builder::new().build());
-            commands::serial::serial_connect,
+
-            commands::serial::serial_disconnect,
+    #[cfg(any(target_os = "android", target_os = "ios"))]
-            commands::serial::serial_export_csv,
+    let builder = builder;
-            commands::serial::serial_has_record_data,
+
-            commands::serial::serial_export_csv_to_path,
+    #[cfg(feature = "devkit")]
-            commands::serial::serial_import_csv,
+    let builder = {
-            commands::serial::serial_import_csv_from_path,
+        let devkit_state = devkit::DevKitState::default();
-            commands::window::win_minimize,
+        let devkit_state_clone = devkit_state.clone();
-            commands::window::win_toggle_maximize,
+
-            commands::window::win_close
+        builder.manage(devkit_state).setup(move |app| {
-        ])
+            tauri::async_runtime::spawn(async {
+                if let Err(error) = lan_game::serve().await {
+                    ::log::error!("LAN game server failed: {error:?}");
+                }
+            });
+
+            let resource_dir = app
+                .path()
+                .resource_dir()
+                .unwrap_or_else(|_| std::path::PathBuf::from("./resources"));
+
+            tauri::async_runtime::spawn(async move {
+                #[cfg(target_os = "windows")]
+                let exe_name = "je-skin-devkit-server.exe";
+                #[cfg(not(target_os = "windows"))]
+                let exe_name = "je-skin-devkit-server";
+
+                let bundled_exe = resource_dir.join(exe_name);
+                let fallback_exe = std::env::current_exe()
+                    .ok()
+                    .and_then(|path| path.parent().map(|parent| parent.join(exe_name)));
+
+                let server_exe = if bundled_exe.exists() {
+                    Some(bundled_exe)
+                } else {
+                    fallback_exe.filter(|path| path.exists())
+                };
+
+                if let Some(exe_path) = server_exe {
+                    start_server_exe(&exe_path);
+                    tokio::time::sleep(std::time::Duration::from_millis(1200)).await;
+                } else {
+                    ::log::info!("DevKit Python server not found, skipping auto-start");
+                }
+
+                if let Err(error) = devkit_state_clone.start(50051).await {
+                    ::log::warn!("DevKit auto-start failed: {error}");
+                } else {
+                    ::log::info!("DevKit auto-started on 127.0.0.1:50051");
+                }
+            });
+
+            Ok(())
+        })
+    };
+
+    #[cfg(not(feature = "devkit"))]
+    let builder = builder.setup(|_app| {
+        tauri::async_runtime::spawn(async {
+            if let Err(error) = lan_game::serve().await {
+                ::log::error!("LAN game server failed: {error:?}");
+            }
+        });
+
+        Ok(())
+    });
+
+    #[cfg(feature = "devkit")]
+    let builder = builder.invoke_handler(tauri::generate_handler![
+        commands::file_explorer::file_explorer_list,
+        commands::serial::serial_enum,
+        commands::serial::serial_connect,
+        commands::serial::serial_disconnect,
+        commands::serial::serial_export_csv,
+        commands::serial::serial_has_record_data,
+        commands::serial::serial_export_csv_to_path,
+        commands::serial::serial_import_csv,
+        commands::serial::serial_import_csv_from_path,
+        commands::window::win_minimize,
+        commands::window::win_toggle_maximize,
+        commands::window::win_close,
+        commands::devkit::devkit_status,
+        commands::devkit::devkit_start,
+        commands::devkit::devkit_stop,
+        commands::devkit::devkit_get_config,
+        commands::devkit::devkit_set_config,
+        commands::devkit::devkit_process_export
+    ]);
+
+    #[cfg(not(feature = "devkit"))]
+    let builder = builder.invoke_handler(tauri::generate_handler![
+        commands::file_explorer::file_explorer_list,
+        commands::serial::serial_enum,
+        commands::serial::serial_connect,
+        commands::serial::serial_disconnect,
+        commands::serial::serial_export_csv,
+        commands::serial::serial_has_record_data,
+        commands::serial::serial_export_csv_to_path,
+        commands::serial::serial_import_csv,
+        commands::serial::serial_import_csv_from_path,
+        commands::window::win_minimize,
+        commands::window::win_toggle_maximize,
+        commands::window::win_close
+    ]);
+
+    builder
         .run(tauri::generate_context!())
         .expect("error while running tauri application");
 }

src-tauri/src/log.rs

@@ -3,7 +3,16 @@ use fern::{
     Dispatch,
 };
 use log::debug;
-use std::time::SystemTime;
+use std::{path::{Path, PathBuf}, time::SystemTime};
+
+fn log_directory() -> PathBuf {
+    let base_dir = std::env::var_os("LOCALAPPDATA")
+        .map(PathBuf::from)
+        .or_else(|| std::env::var_os("HOME").map(|home| PathBuf::from(home).join(".local/share")))
+        .unwrap_or_else(std::env::temp_dir);
+
+    base_dir.join("JE-Skin").join("logs")
+}
 pub fn setup_logger() {
     let colors_line = ColoredLevelConfig::new()
         .error(Color::Red)
@@ -38,7 +47,11 @@ pub fn setup_logger() {
     // .chain(fern::DateBased::new("program.log", "%Y-%m-%d"))
     // .apply()
     // .unwrap();
-    let log_path = std::env::temp_dir().join("program.log");
+    let log_dir = log_directory();
+    if let Err(error) = std::fs::create_dir_all(&log_dir) {
+        eprintln!("failed to create log_directory {}: {error}", log_dir.display());
+    }
+    // let log_path = std::env::temp_dir().join("program.log");
     let file_config = fern::Dispatch::new()
         .format(move |out, message, record| {
             out.finish(format_args!(
@@ -50,7 +63,7 @@ pub fn setup_logger() {
             ));
         })
         .level(level)
-        .chain(fern::DateBased::new(&log_path, "%Y-%m-%d"));
+        .chain(fern::DateBased::new(log_dir.join("program.log"), "%Y-%m-%d"));
 
     Dispatch::new()
         .level(log::LevelFilter::Debug)

src-tauri/src/serial_core/serial.rs

@@ -4,15 +4,21 @@ use crate::serial_core::frame::{FrameHandler, TactileAFrame, TestFrame};
 use crate::serial_core::model::{HudChartState, HudPacket};
 use crate::serial_core::record::Recording;
 use crate::serial_core::record::{FrameTiming, RecordedFrame};
+#[cfg(feature = "devkit")]
+use crate::devkit::{proto::SensorFrame, DevKitState};
 use anyhow::Result;
 use std::future::pending;
 use std::sync::{Arc, Mutex};
 use std::time::Instant;
 use tauri::{AppHandle, Emitter};
+#[cfg(feature = "devkit")]
+use tauri::Manager;
 use tokio::io::{AsyncReadExt, AsyncWriteExt};
 use tokio::time::{self, Duration, MissedTickBehavior};
 use tokio_serial::SerialStream;
 use tokio_util::sync::CancellationToken;
+#[cfg(feature = "devkit")]
+use std::sync::atomic::Ordering;
 
 pub enum PollMode<F> {
     Disable,
@@ -271,6 +277,8 @@ where
                         let force = raw_to_g1(summary as u32);
                         chart_state.record_summary(force as f32);
                         chart_state.record_pressure_matrix(vals.as_slice());
+                        #[cfg(feature = "devkit")]
+                        push_devkit_frame(&app, vals.as_slice(), frame.dts_ms(), force);
                         Some(vec![summary])
                     } else {
                         None
@@ -286,6 +294,58 @@ where
     Ok(())
 }
 
+#[cfg(feature = "devkit")]
+fn push_devkit_frame(app: &AppHandle, values: &[i32], dts_ms: u64, resultant_force: f64) {
+    let devkit_state = app.state::<DevKitState>();
+    if !devkit_state.running.load(Ordering::Relaxed) {
+        return;
+    }
+
+    let (rows, cols) = infer_matrix_shape(values.len());
+    let timestamp_ms = std::time::SystemTime::now()
+        .duration_since(std::time::UNIX_EPOCH)
+        .unwrap_or_default()
+        .as_millis() as u64;
+
+    let seq = timestamp_ms;
+    let matrix = values
+        .iter()
+        .map(|value| (*value).max(0) as u32)
+        .collect::<Vec<_>>();
+
+    devkit_state.push_frame(SensorFrame {
+        seq,
+        timestamp_ms,
+        rows,
+        cols,
+        matrix,
+        resultant_force,
+        dts_ms: dts_ms as u32,
+    });
+}
+
+#[cfg(feature = "devkit")]
+fn infer_matrix_shape(len: usize) -> (u32, u32) {
+    if len == 84 {
+        return (12, 7);
+    }
+
+    if len == 0 {
+        return (0, 0);
+    }
+
+    let mut best = (len, 1);
+    let mut factor = 1usize;
+    while factor * factor <= len {
+        if len % factor == 0 {
+            best = (len / factor, factor);
+        }
+        factor += 1;
+    }
+
+    (best.0 as u32, best.1 as u32)
+}
+
 fn raw_to_g1(raw: u32) -> f64 {
     const X: [u32; 12] = [
         0, 84402, 117218, 140176, 159126, 175812, 191484, 208758, 224703, 252448, 302361, 352703,

src-tauri/tauri.conf.json

@@ -23,6 +23,7 @@
     }
   },
   "bundle": {
+    "createUpdaterArtifacts": true,
     "active": true,
     "targets": "all",
     "icon": [
@@ -31,6 +32,27 @@
         "icons/128x128@2x.png",
         "icons/icon.icns",
         "icons/icon.ico"
+    ],
+    "windows": {
+      "nsis": {
+        "installMode": "both",
+        "displayLanguageSelector": false,
+        "installerIcon": "icons/icon.ico"
+      }
+    },
+    "resources": [
+      "resources/je-skin-devkit-server.exe"
     ]
+  },
+  "plugins": {
+    "updater": {
+      "windows": {
+        "installMode": "passive"
+      },
+      "pubkey": "dW50cnVzdGVkIGNvbW1lbnQ6IG1pbmlzaWduIHB1YmxpYyBrZXk6IDkwODM1QkFEODI2NkZENgpSV1RXYnliWXVqVUlDUVRxbjlseDNDNjhQTGpDYis4TEZMeUk2WVhiMEhTRWJhN3hGRnQ3TTJtcwo=",
+      "endpoints": [
+        "https://je-skin.cn-nb1.rains3.com/latest.json"
+      ]
+    }
   }
 }

src/lib/components/DevKitConfigPanel.svelte

@@ -0,0 +1,362 @@
+<script lang="ts">
+  import { createEventDispatcher } from "svelte";
+
+  export let running = false;
+  export let port = 50051;
+  export let framesSent = 0;
+  export let filterLiftEnabled = true;
+  export let saveAsXlsx = false;
+  export let locale: "zh-CN" | "en-US" = "zh-CN";
+  export let lastProcessResult: {
+    outputPath: string;
+    groupsUsed: number;
+    meanValue: number;
+    threshold: number;
+    rowsTotal: number;
+    rowsKept: number;
+  } | null = null;
+
+  const dispatch = createEventDispatcher<{
+    close: void;
+    togglefilterlift: void;
+    togglexlsx: void;
+  }>();
+
+  $: labels = locale === "zh-CN"
+    ? {
+        title: "DevKit 配置",
+        status: "状态",
+        connected: "已连接",
+        disconnected: "未连接",
+        port: "端口",
+        framesSent: "已发送帧",
+        filterLift: "导出过滤抬起",
+        filterLiftHint: "导出 CSV 后自动调用 Python 做梯度过滤，过滤掉抬起的小值数据",
+        saveXlsx: "以 xlsx 保存",
+        saveXlsxHint: "Python 处理后输出 xlsx 格式并删除源 CSV 文件",
+        lastResult: "最近一次处理",
+        output: "输出文件",
+        groups: "分组数",
+        mean: "均值",
+        threshold: "阈值",
+        rows: "行数",
+        kept: "保留行数",
+      }
+    : {
+        title: "DevKit Config",
+        status: "Status",
+        connected: "Connected",
+        disconnected: "Disconnected",
+        port: "Port",
+        framesSent: "Frames sent",
+        filterLift: "Filter lift on export",
+        filterLiftHint: "After CSV export, automatically call Python to filter out small values",
+        saveXlsx: "Save as xlsx",
+        saveXlsxHint: "Python outputs xlsx format and deletes the source CSV file",
+        lastResult: "Last process",
+        output: "Output",
+        groups: "Groups",
+        mean: "Mean",
+        threshold: "Threshold",
+        rows: "Rows",
+        kept: "Kept rows",
+      };
+</script>
+
+<div class="dk-panel">
+  <header class="dk-head">
+    <h3 class="dk-title">{labels.title}</h3>
+    <button type="button" class="dk-close" on:click={() => dispatch("close")} aria-label="Close">
+      <span></span><span></span>
+    </button>
+  </header>
+
+  <section class="dk-section">
+    <div class="dk-status-row">
+      <span class="dk-dot" class:active={running}></span>
+      <span class="dk-label">{labels.status}</span>
+      <span class="dk-value">{running ? labels.connected : labels.disconnected}</span>
+    </div>
+    {#if running}
+      <div class="dk-info-grid">
+        <div class="dk-info">
+          <span class="dk-info-label">{labels.port}</span>
+          <span class="dk-info-value">:{port}</span>
+        </div>
+        <div class="dk-info">
+          <span class="dk-info-label">{labels.framesSent}</span>
+          <span class="dk-info-value">{framesSent}</span>
+        </div>
+      </div>
+    {/if}
+  </section>
+
+  <section class="dk-section">
+    <button type="button" class="dk-toggle" class:active={filterLiftEnabled} on:click={() => dispatch("togglefilterlift")}>
+      <span class="dk-toggle-indicator"></span>
+      <div class="dk-toggle-text">
+        <span class="dk-toggle-label">{labels.filterLift}</span>
+        <span class="dk-toggle-hint">{labels.filterLiftHint}</span>
+      </div>
+    </button>
+  </section>
+
+  <section class="dk-section">
+    <button type="button" class="dk-toggle" class:active={saveAsXlsx} on:click={() => dispatch("togglexlsx")}>
+      <span class="dk-toggle-indicator"></span>
+      <div class="dk-toggle-text">
+        <span class="dk-toggle-label">{labels.saveXlsx}</span>
+        <span class="dk-toggle-hint">{labels.saveXlsxHint}</span>
+      </div>
+    </button>
+  </section>
+
+  {#if lastProcessResult}
+    <section class="dk-section dk-result">
+      <p class="dk-section-title">{labels.lastResult}</p>
+      <div class="dk-result-grid">
+        <div class="dk-result-item">
+          <span class="dk-result-label">{labels.output}</span>
+          <span class="dk-result-value">{lastProcessResult.outputPath}</span>
+        </div>
+        <div class="dk-result-item">
+          <span class="dk-result-label">{labels.groups}</span>
+          <span class="dk-result-value">{lastProcessResult.groupsUsed}</span>
+        </div>
+        <div class="dk-result-item">
+          <span class="dk-result-label">{labels.mean}</span>
+          <span class="dk-result-value">{lastProcessResult.meanValue.toFixed(3)}</span>
+        </div>
+        <div class="dk-result-item">
+          <span class="dk-result-label">{labels.threshold}</span>
+          <span class="dk-result-value">{lastProcessResult.threshold.toFixed(3)}</span>
+        </div>
+        <div class="dk-result-item">
+          <span class="dk-result-label">{labels.rows}</span>
+          <span class="dk-result-value">{lastProcessResult.rowsTotal} → {lastProcessResult.rowsKept}</span>
+        </div>
+      </div>
+    </section>
+  {/if}
+</div>
+
+<style>
+  .dk-panel {
+    display: grid;
+    gap: 0.7rem;
+    inline-size: min(22rem, 100%);
+    padding: 0.9rem 0.96rem 1rem;
+    border: 1px solid rgb(var(--hud-border-rgb) / 0.3);
+    border-radius: 0.82rem;
+    background:
+      linear-gradient(180deg, rgb(var(--hud-surface-alt-rgb) / 0.92), rgb(var(--hud-surface-deep-rgb) / 0.88)),
+      radial-gradient(circle at 100% 0, rgb(var(--hud-info-rgb) / 0.07), transparent 38%);
+    box-shadow:
+      inset 0 1px 0 rgb(var(--hud-border-strong-rgb) / 0.08),
+      0 18px 46px rgb(0 0 0 / 0.28);
+    backdrop-filter: blur(10px);
+  }
+
+  .dk-head {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+  }
+
+  .dk-title {
+    margin: 0;
+    color: rgb(var(--hud-text-main-rgb) / 0.98);
+    font-size: 0.95rem;
+    font-weight: 600;
+  }
+
+  .dk-close {
+    position: relative;
+    inline-size: 1.8rem;
+    block-size: 1.8rem;
+    border: 1px solid rgb(var(--hud-border-rgb) / 0.32);
+    border-radius: 999px;
+    background: rgb(var(--hud-surface-deep-rgb) / 0.72);
+    cursor: pointer;
+    flex: 0 0 auto;
+  }
+
+  .dk-close span {
+    position: absolute;
+    top: 50%;
+    left: 50%;
+    inline-size: 0.7rem;
+    block-size: 1px;
+    background: rgb(var(--hud-text-main-rgb) / 0.9);
+    transform-origin: center;
+  }
+
+  .dk-close span:first-child { transform: translate(-50%, -50%) rotate(45deg); }
+  .dk-close span:last-child { transform: translate(-50%, -50%) rotate(-45deg); }
+
+  .dk-section {
+    display: grid;
+    gap: 0.5rem;
+    padding: 0.6rem 0.7rem;
+    border: 1px solid rgb(var(--hud-border-rgb) / 0.22);
+    border-radius: 0.68rem;
+    background: linear-gradient(180deg, rgb(var(--hud-surface-rgb) / 0.76), rgb(var(--hud-surface-deep-rgb) / 0.64));
+  }
+
+  .dk-status-row {
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+  }
+
+  .dk-dot {
+    inline-size: 0.5rem;
+    block-size: 0.5rem;
+    border-radius: 50%;
+    background: rgb(var(--hud-text-dim-rgb) / 0.8);
+    transition: background 200ms ease;
+  }
+
+  .dk-dot.active {
+    background: rgb(var(--hud-lime-rgb) / 0.95);
+    box-shadow: 0 0 0 2px rgb(var(--hud-lime-rgb) / 0.14);
+  }
+
+  .dk-label {
+    color: rgb(var(--hud-text-dim-rgb) / 0.8);
+    font-size: 0.62rem;
+    letter-spacing: 0.08em;
+    text-transform: uppercase;
+  }
+
+  .dk-value {
+    color: rgb(var(--hud-text-main-rgb) / 0.96);
+    font-size: 0.82rem;
+    font-weight: 500;
+    margin-inline-start: auto;
+  }
+
+  .dk-info-grid {
+    display: flex;
+    gap: 1rem;
+  }
+
+  .dk-info {
+    display: flex;
+    flex-direction: column;
+    gap: 0.2rem;
+  }
+
+  .dk-info-label {
+    color: rgb(var(--hud-text-dim-rgb) / 0.7);
+    font-size: 0.56rem;
+    letter-spacing: 0.08em;
+    text-transform: uppercase;
+  }
+
+  .dk-info-value {
+    color: rgb(var(--hud-text-main-rgb) / 0.94);
+    font-size: 0.82rem;
+    font-weight: 500;
+  }
+
+  .dk-toggle {
+    display: flex;
+    align-items: flex-start;
+    gap: 0.6rem;
+    border: 1px solid rgb(var(--hud-border-rgb) / 0.24);
+    border-radius: 0.58rem;
+    padding: 0.55rem 0.65rem;
+    background: rgb(var(--hud-surface-rgb) / 0.82);
+    cursor: pointer;
+    text-align: left;
+    transition: border-color 180ms ease, box-shadow 180ms ease;
+  }
+
+  .dk-toggle:hover {
+    border-color: rgb(var(--hud-cyan-rgb) / 0.36);
+  }
+
+  .dk-toggle.active {
+    border-color: rgb(var(--hud-lime-rgb) / 0.48);
+    box-shadow: inset 0 1px 0 rgb(var(--hud-border-strong-rgb) / 0.08), 0 0 14px rgb(var(--hud-glow-alt-rgb) / 0.12);
+  }
+
+  .dk-toggle-indicator {
+    inline-size: 0.56rem;
+    block-size: 0.56rem;
+    min-inline-size: 0.56rem;
+    border-radius: 50%;
+    margin-block-start: 0.15rem;
+    background: rgb(var(--hud-text-dim-rgb) / 0.7);
+    transition: background 180ms ease;
+  }
+
+  .dk-toggle.active .dk-toggle-indicator {
+    background: rgb(var(--hud-lime-rgb) / 0.92);
+    box-shadow: 0 0 0 2px rgb(var(--hud-lime-rgb) / 0.14);
+  }
+
+  .dk-toggle-text {
+    display: flex;
+    flex-direction: column;
+    gap: 0.2rem;
+  }
+
+  .dk-toggle-label {
+    color: rgb(var(--hud-text-main-rgb) / 0.96);
+    font-size: 0.78rem;
+    font-weight: 500;
+  }
+
+  .dk-toggle-hint {
+    color: rgb(var(--hud-text-dim-rgb) / 0.7);
+    font-size: 0.64rem;
+    line-height: 1.35;
+  }
+
+  .dk-section-title {
+    margin: 0;
+    color: rgb(var(--hud-text-dim-rgb) / 0.8);
+    font-size: 0.58rem;
+    letter-spacing: 0.1em;
+    text-transform: uppercase;
+  }
+
+  .dk-result {
+    display: grid;
+    gap: 0.45rem;
+  }
+
+  .dk-result-grid {
+    display: grid;
+    gap: 0.3rem;
+  }
+
+  .dk-result-item {
+    display: flex;
+    justify-content: space-between;
+    align-items: baseline;
+    padding: 0.2rem 0;
+    border-bottom: 1px solid rgb(var(--hud-border-rgb) / 0.14);
+  }
+
+  .dk-result-item:last-child {
+    border-bottom: none;
+  }
+
+  .dk-result-label {
+    color: rgb(var(--hud-text-dim-rgb) / 0.72);
+    font-size: 0.64rem;
+    text-transform: uppercase;
+    letter-spacing: 0.06em;
+  }
+
+  .dk-result-value {
+    color: rgb(var(--hud-text-main-rgb) / 0.94);
+    font-size: 0.76rem;
+    font-weight: 500;
+    text-align: right;
+    word-break: break-all;
+  }
+</style>

src/lib/components/HudPanel.svelte

@@ -41,6 +41,10 @@
   export let importActionLabel = "";
   export let connectionNotice = "";
   export let connectionNoticeTone: HudNoticeTone = "info";
+  export let noticeConfirmLabel = "";
+  export let noticeCancelLabel = "";
+  export let noticeShowActions = false;
+  export let noticeActionBusy = false;
   export let isRefreshingPorts = false;
   export let isConnectDisabled = false;
   export let isExporting = false;
@@ -58,6 +62,8 @@
     serialexport: void;
     csvimport: void;
     noticeclear: void;
+    noticeconfirm: void;
+    noticecancel: void;
   }>();
 
   const connectionToneByState: Record<ConnectionState, "ok" | "warn" | "idle"> = {
@@ -123,6 +129,14 @@
   function emitNoticeClear(): void {
     dispatch("noticeclear");
   }
+
+  function emitNoticeConfirm(): void {
+    dispatch("noticeconfirm");
+  }
+
+  function emitNoticeCancel(): void {
+    dispatch("noticecancel");
+  }
 </script>
 
 <section class="hud-panel" aria-label={controlAreaLabel}>
@@ -301,14 +315,25 @@
     {#if connectionNotice}
       <div class="connection-notice tone-{connectionNoticeTone}" role={connectionNoticeTone === "warn" ? "alert" : "status"}>
         <p class="connection-notice-text">{connectionNotice}</p>
-        <button
+        {#if noticeShowActions}
-          type="button"
+          <div class="notice-actions">
-          class="notice-close-btn"
+            <button type="button" class="notice-action-btn is-primary" disabled={noticeActionBusy} on:click={emitNoticeConfirm}>
-          aria-label={locale === "zh-CN" ? "关闭提示" : "Dismiss notice"}
+              {noticeActionBusy ? (locale === "zh-CN" ? "处理中..." : "Working...") : noticeConfirmLabel}
-          on:click={emitNoticeClear}
+            </button>
-        >
+            <button type="button" class="notice-action-btn" disabled={noticeActionBusy} on:click={emitNoticeCancel}>
-          ×
+              {noticeCancelLabel}
-        </button>
+            </button>
+          </div>
+        {:else}
+          <button
+            type="button"
+            class="notice-close-btn"
+            aria-label={locale === "zh-CN" ? "关闭提示" : "Dismiss notice"}
+            on:click={emitNoticeClear}
+          >
+            ×
+          </button>
+        {/if}
       </div>
     {/if}
 
@@ -921,6 +946,58 @@
     background: rgb(9 16 22 / 0.92);
   }
 
+  .notice-actions {
+    display: inline-flex;
+    align-items: center;
+    gap: 0.42rem;
+    flex-shrink: 0;
+  }
+
+  .notice-action-btn {
+    min-block-size: 1.55rem;
+    border: 1px solid rgb(116 151 176 / 0.38);
+    border-radius: 999px;
+    padding: 0.24rem 0.72rem;
+    background: rgb(7 12 16 / 0.76);
+    color: rgb(194 225 245 / 0.94);
+    font-size: 0.68rem;
+    letter-spacing: 0.04em;
+    cursor: pointer;
+    transition:
+      border-color 180ms ease,
+      color 180ms ease,
+      background-color 180ms ease,
+      box-shadow 200ms ease,
+      opacity 180ms ease;
+  }
+
+  .notice-action-btn:hover:not(:disabled) {
+    border-color: rgb(62 232 255 / 0.46);
+    color: rgb(237 250 255 / 0.98);
+    background: rgb(9 16 22 / 0.92);
+  }
+
+  .notice-action-btn.is-primary {
+    border-color: rgb(var(--hud-lime-rgb) / 0.44);
+    background:
+      linear-gradient(180deg, rgb(var(--hud-surface-alt-rgb) / 0.94), rgb(var(--hud-surface-rgb) / 0.88)),
+      radial-gradient(circle at 50% 0, rgb(var(--hud-lime-rgb) / 0.14), transparent 58%);
+    color: rgb(var(--hud-text-main-rgb) / 0.98);
+    box-shadow: 0 0 10px rgb(var(--hud-lime-rgb) / 0.08);
+  }
+
+  .notice-action-btn.is-primary:hover:not(:disabled) {
+    border-color: rgb(var(--hud-lime-rgb) / 0.62);
+    box-shadow:
+      inset 0 0 0 1px rgb(var(--hud-text-main-rgb) / 0.08),
+      0 0 13px rgb(var(--hud-lime-rgb) / 0.14);
+  }
+
+  .notice-action-btn:disabled {
+    cursor: default;
+    opacity: 0.64;
+  }
+
   .connection-notice.tone-warn .notice-close-btn:hover {
     border-color: rgb(255 91 63 / 0.6);
     color: rgb(255 227 220 / 0.98);

src/lib/config/pressure-range.ts

@@ -1,2 +1,2 @@
 export const DEFAULT_PRESSURE_RANGE_MIN = 0;
-export const DEFAULT_PRESSURE_RANGE_MAX = 6000;
+export const DEFAULT_PRESSURE_RANGE_MAX = 7000;

src/routes/+page.svelte

@@ -3,9 +3,12 @@
   import { invoke } from "@tauri-apps/api/core";
   import { listen, type UnlistenFn } from "@tauri-apps/api/event";
   import { LogicalSize, currentMonitor, getCurrentWindow } from "@tauri-apps/api/window";
+  import { relaunch } from "@tauri-apps/plugin-process";
+  import { check } from "@tauri-apps/plugin-updater";
   import HudPanel from "$lib/components/HudPanel.svelte";
   import CenterStage from "$lib/components/CenterStage.svelte";
   import FileExplorerModal from "$lib/components/FileExplorerModal.svelte";
+  import DevKitConfigPanel from "$lib/components/DevKitConfigPanel.svelte";
   import { DEFAULT_PRESSURE_RANGE_MAX, DEFAULT_PRESSURE_RANGE_MIN } from "$lib/config/pressure-range";
   import { pressureColorPalettes } from "$lib/config/color-map";
   import "$lib/styles/theme.css";
@@ -203,6 +206,9 @@
   let isRefreshingPorts = false;
   let connectionNotice = "";
   let connectionNoticeTone: HudNoticeTone = "info";
+  let updateNoticeVisible = false;
+  let updateInstallBusy = false;
+  let pendingUpdate: Awaited<ReturnType<typeof check>> | null = null;
   let isExporting = false;
   let deviceValue = "JE-Skin-F";
   let sampleRateValue = "100Hz";
@@ -238,6 +244,22 @@
   let fileExplorerRoots: FileExplorerRoot[] = [];
   let fileExplorerSelectedPath = "";
   let fileExplorerFileName = "";
+  let isDevKitConfigOpen = false;
+  let devkitEnabled = false;
+  let devkitRunning = false;
+  let devkitPort = 50051;
+  let devkitFramesSent = 0;
+  let devkitFilterLift = true;
+  let devkitSaveXlsx = false;
+  let devkitLastResult: {
+    outputPath: string;
+    groupsUsed: number;
+    meanValue: number;
+    threshold: number;
+    rowsTotal: number;
+    rowsKept: number;
+  } | null = null;
+  let devkitStatusTimer: number | null = null;
 
   $: uiCopy = copyByLocale[locale];
   $: configLinks = buildConfigLinks(locale, activeConfigLinkId, isConfigPanelOpen, isPrecisionTestOpen);
@@ -1012,7 +1034,7 @@
             settings: "Setup"
           };
 
-    return [
+    const links: HudConfigLink[] = [
       {
         id: "stream-on",
         label: labels.streamOn,
@@ -1044,6 +1066,17 @@
         active: isSettingsOpen
       }
     ];
+
+    if (devkitEnabled) {
+      links.push({
+        id: "devkit",
+        label: "DevKit",
+        tone: "cyan",
+        active: isDevKitConfigOpen
+      });
+    }
+
+    return links;
   }
 
   async function ensureDefaultWindowSize(): Promise<void> {
@@ -1097,6 +1130,71 @@
     const context = canvas.getContext("webgl2");
   }
 
+  async function checkForAppUpdate(): Promise<void> {
+    if (!isTauriRuntime()) {
+      return;
+    }
+
+    const updateDismissKey = "je-skin-update-dismissed-version";
+
+    try {
+      const update = await check();
+      if (!update) {
+        return;
+      }
+
+      if (window.sessionStorage.getItem(updateDismissKey) === update.version) {
+        return;
+      }
+
+      const message =
+        locale === "zh-CN"
+          ? `发现新版本 ${update.version}，是否现在下载并安装？`
+          : `Version ${update.version} is available. Download and install now?`;
+
+      pendingUpdate = update;
+      updateNoticeVisible = true;
+      updateInstallBusy = false;
+      connectionNotice = message;
+      connectionNoticeTone = "info";
+    } catch (error) {
+      console.error("App update check failed:", error);
+    }
+  }
+
+  async function handleUpdateConfirm(): Promise<void> {
+    if (!pendingUpdate || updateInstallBusy) {
+      return;
+    }
+
+    updateInstallBusy = true;
+    connectionNotice = locale === "zh-CN" ? "正在下载并安装更新..." : "Downloading and installing update...";
+    connectionNoticeTone = "info";
+
+    try {
+      await pendingUpdate.downloadAndInstall();
+      await relaunch();
+    } catch (error) {
+      updateInstallBusy = false;
+      updateNoticeVisible = false;
+      pendingUpdate = null;
+      connectionNotice = locale === "zh-CN" ? "更新安装失败，请稍后重试。" : "Update failed. Please try again later.";
+      connectionNoticeTone = "warn";
+      console.error("App update install failed:", error);
+    }
+  }
+
+  function handleUpdateCancel(): void {
+    if (pendingUpdate) {
+      window.sessionStorage.setItem("je-skin-update-dismissed-version", pendingUpdate.version);
+    }
+
+    pendingUpdate = null;
+    updateNoticeVisible = false;
+    updateInstallBusy = false;
+    connectionNotice = "";
+  }
+
   function handleLocaleChange(event: CustomEvent<LocaleCode>): void {
     locale = event.detail;
   }
@@ -1318,6 +1416,57 @@
         ? await invoke<SerialExportResult>("serial_export_csv_to_path", { filePath })
         : await invoke<SerialExportResult>("serial_export_csv");
 
+      if (devkitEnabled && devkitRunning && devkitFilterLift) {
+        try {
+          const processResult = await invoke<{
+            ok: boolean;
+            outputPath: string;
+            groupsUsed: number;
+            meanValue: number;
+            threshold: number;
+            rowsTotal: number;
+            rowsKept: number;
+            message: string;
+          }>("devkit_process_export", {
+            csvPath: result.path,
+            saveAsXlsx: devkitSaveXlsx
+          });
+
+          if (processResult.ok) {
+            devkitLastResult = {
+              outputPath: processResult.outputPath,
+              groupsUsed: processResult.groupsUsed,
+              meanValue: processResult.meanValue,
+              threshold: processResult.threshold,
+              rowsTotal: processResult.rowsTotal,
+              rowsKept: processResult.rowsKept
+            };
+
+            connectionNotice =
+              locale === "zh-CN"
+                ? `CSV 已导出并完成 DevKit 处理（${result.frameCount} 帧）：${processResult.outputPath}`
+                : `CSV exported and processed by DevKit (${result.frameCount} frames): ${processResult.outputPath}`;
+            connectionNoticeTone = "ok";
+            return true;
+          }
+
+          connectionNotice =
+            locale === "zh-CN"
+              ? `CSV 已导出，但 DevKit 处理失败：${processResult.message}`
+              : `CSV exported, but DevKit processing failed: ${processResult.message}`;
+          connectionNoticeTone = "warn";
+          return true;
+        } catch (error) {
+          connectionNotice =
+            locale === "zh-CN"
+              ? "CSV 已导出，但 DevKit 后处理调用失败。"
+              : "CSV exported, but DevKit post-processing failed.";
+          connectionNoticeTone = "warn";
+          console.error("DevKit export post-process failed:", error);
+          return true;
+        }
+      }
+
       connectionNotice =
         locale === "zh-CN"
           ? `CSV 导出成功（${result.frameCount} 帧）：${result.path}`
@@ -1477,17 +1626,27 @@
     if (event.detail === "precision-test") {
       isPrecisionTestOpen = !isPrecisionTestOpen;
       isConfigPanelOpen = false;
+      isDevKitConfigOpen = false;
       return;
     }
 
     if (event.detail === "settings") {
       isPrecisionTestOpen = false;
       isConfigPanelOpen = !isConfigPanelOpen;
+      isDevKitConfigOpen = false;
+      return;
+    }
+
+    if (event.detail === "devkit") {
+      isPrecisionTestOpen = false;
+      isConfigPanelOpen = false;
+      isDevKitConfigOpen = !isDevKitConfigOpen;
       return;
     }
 
     isPrecisionTestOpen = false;
     isConfigPanelOpen = false;
+    isDevKitConfigOpen = false;
     activeConfigLinkId = event.detail;
     console.info("[hud] config link clicked:", event.detail);
   }
@@ -1511,6 +1670,55 @@
     }
   }
 
+  // ── DevKit Functions ────────────────────────────────────────────
+
+  async function pollDevKitStatus(): Promise<void> {
+    if (!isTauriRuntime()) return;
+    try {
+      const status = await invoke<{
+        enabled: boolean;
+        running: boolean;
+        port: number;
+        framesSent: number;
+        config: { filterLiftEnabled: boolean; saveAsXlsx: boolean };
+      }>("devkit_status");
+      devkitEnabled = status.enabled;
+      devkitRunning = status.running;
+      devkitPort = status.port;
+      devkitFramesSent = status.framesSent;
+      devkitFilterLift = status.config.filterLiftEnabled;
+      devkitSaveXlsx = status.config.saveAsXlsx;
+    } catch {
+      devkitEnabled = false;
+      devkitRunning = false;
+      isDevKitConfigOpen = false;
+    }
+  }
+
+  async function handleDevKitToggleFilterLift(): Promise<void> {
+    if (!isTauriRuntime()) return;
+    try {
+      const newConfig = { filterLiftEnabled: !devkitFilterLift, saveAsXlsx: devkitSaveXlsx };
+      const result = await invoke<{ filterLiftEnabled: boolean; saveAsXlsx: boolean }>("devkit_set_config", { config: newConfig });
+      devkitFilterLift = result.filterLiftEnabled;
+      devkitSaveXlsx = result.saveAsXlsx;
+    } catch (error) {
+      console.error("DevKit config update failed:", error);
+    }
+  }
+
+  async function handleDevKitToggleXlsx(): Promise<void> {
+    if (!isTauriRuntime()) return;
+    try {
+      const newConfig = { filterLiftEnabled: devkitFilterLift, saveAsXlsx: !devkitSaveXlsx };
+      const result = await invoke<{ filterLiftEnabled: boolean; saveAsXlsx: boolean }>("devkit_set_config", { config: newConfig });
+      devkitFilterLift = result.filterLiftEnabled;
+      devkitSaveXlsx = result.saveAsXlsx;
+    } catch (error) {
+      console.error("DevKit config update failed:", error);
+    }
+  }
+
   function handleMatrixDisplayToggle(event: CustomEvent<boolean>): void {
     matrixDisplayMode = event.detail ? "dots" : "numeric";
   }
@@ -1526,6 +1734,9 @@
 
     if (isTauriRuntime()) {
       void refreshSerialPorts();
+      void checkForAppUpdate();
+      void pollDevKitStatus();
+      devkitStatusTimer = window.setInterval(() => void pollDevKitStatus(), 3000);
       void startTauriHudStream(applyPacket)
         .then((unlisten) => {
           if (disposed) {
@@ -1547,6 +1758,10 @@
       pauseReplayPlayback();
       stopMockFeed?.();
       unlistenHudStream?.();
+      if (devkitStatusTimer != null) {
+        window.clearInterval(devkitStatusTimer);
+        devkitStatusTimer = null;
+      }
     };
   });
 </script>
@@ -1591,6 +1806,10 @@
       importActionLabel={uiCopy.importActionLabel}
       {connectionNotice}
       {connectionNoticeTone}
+      noticeConfirmLabel={locale === "zh-CN" ? "确定" : "Confirm"}
+      noticeCancelLabel={locale === "zh-CN" ? "取消" : "Cancel"}
+      noticeShowActions={updateNoticeVisible}
+      noticeActionBusy={updateInstallBusy}
       {configLinks}
       {isRefreshingPorts}
       {isExporting}
@@ -1606,7 +1825,12 @@
       on:serialconnect={handleSerialConnect}
       on:serialexport={handleSerialExportRequest}
       on:csvimport={handleReplayImportRequest}
-      on:noticeclear={() => (connectionNotice = "")}
+      on:noticeclear={() => {
+        connectionNotice = "";
+        updateNoticeVisible = false;
+      }}
+      on:noticeconfirm={handleUpdateConfirm}
+      on:noticecancel={handleUpdateCancel}
     />
 
     <CenterStage
@@ -1693,6 +1917,25 @@
     on:navigate={handleFileExplorerNavigate}
     on:confirm={handleFileExplorerConfirm}
   />
+
+  {#if isDevKitConfigOpen && devkitEnabled}
+    <div class="devkit-overlay" role="dialog" aria-label="DevKit Config">
+      <div class="devkit-float">
+        <DevKitConfigPanel
+          running={devkitRunning}
+          port={devkitPort}
+          framesSent={devkitFramesSent}
+          filterLiftEnabled={devkitFilterLift}
+          saveAsXlsx={devkitSaveXlsx}
+          locale={locale}
+          lastProcessResult={devkitLastResult}
+          on:close={() => (isDevKitConfigOpen = false)}
+          on:togglefilterlift={handleDevKitToggleFilterLift}
+          on:togglexlsx={handleDevKitToggleXlsx}
+        />
+      </div>
+    </div>
+  {/if}
 </main>
 
 <style>
@@ -1871,4 +2114,20 @@
       grid-template-columns: 1fr;
     }
   }
+
+  .devkit-overlay {
+    position: fixed;
+    inset: 0;
+    z-index: 100;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    background: rgb(0 0 0 / 0.5);
+    backdrop-filter: blur(6px);
+  }
+
+  .devkit-float {
+    position: relative;
+    z-index: 1;
+  }
 </style>