refactor: 移除 AI 跟练中没有作用的代码

- 删除从未显示的 idle 手势帧（小程序包内 png 和视频用高清帧），训练分包减少 17KB
- 删除骨架连线 BONES、镜像函数 mirrorPose（骨架已去掉）和未使用的 Bgm 类型
- 只给单测用的 sampleMotion 移到测试目录
- 删除训练菜单里未使用的 .menu-icon-text 样式
- 补全 history 单测数据缺少的 adviceKind 字段（严格类型检查报错）

TUICallKit-Vue3/components/dev-training-entry/index.vue

@@ -477,11 +477,6 @@ $brand-light: #34d399;
     line-height: 1;
 }
 
-.menu-icon-text {
-    font-size: 32rpx;
-    line-height: 1;
-}
-
 /* 哑铃小 icon */
 .dumbbell-shape {
     width: 40rpx;

TUICallKit-Vue3/training/pages/components/coach-sprite.vue

@@ -41,7 +41,7 @@
  * mode:
  *  - demo    按示范节奏循环（speed 调快慢，paused 时站立待机、轻微呼吸）
  *  - mirror  跟随用户实时动作幅度 amount / side
- *  - gesture 挥手 / 欢呼 / 点赞 / 待机
+ *  - gesture 挥手 / 欢呼 / 点赞
  * 示范模式下教练每做完一次发出 rep 事件（领练模式据此计数，报数和画面同步）。
  * 动作中不插入欢呼 / 弹跳：和动作节奏对不上的突变，看起来就是“闪一下”。
  *
@@ -67,7 +67,7 @@ const props = withDefaults(
     {
         move: 'squat',
         mode: 'demo',
-        gesture: 'idle',
+        gesture: 'wave',
         amount: 0,
         side: 'L',
         speed: 1,

TUICallKit-Vue3/training/pose/__tests__/counters.test.ts

@@ -5,7 +5,8 @@
 import { test } from 'node:test'
 import assert from 'node:assert/strict'
 import { createCounter, type CoachEvent } from '../counters.ts'
-import { MISTAKE_POSES, MOTIONS, sampleMotion, type MoveId } from '../motions.ts'
+import { MISTAKE_POSES, MOTIONS, type MoveId } from '../motions.ts'
+import { sampleMotion } from './sampleMotion.ts'
 import type { Pose } from '../keypoints.ts'
 
 const MOVES: MoveId[] = ['squat', 'march', 'jack', 'raise']

TUICallKit-Vue3/training/pose/__tests__/history.test.ts

@@ -19,6 +19,7 @@ const summary = (reps: number): SessionSummary => ({
     stars: 3,
     scores: [],
     advice: '',
+    adviceKind: 'praise',
 })
 
 const DAY = 86400000

TUICallKit-Vue3/training/pose/__tests__/sampleMotion.ts

@@ -0,0 +1,15 @@
+/** 单测辅助：把示范动作按时间采样成 Pose 序列（文件名不带 .test，不会被当成用例执行） */
+import type { Pose } from '../keypoints.ts'
+import { MOTIONS, type MoveId } from '../motions.ts'
+
+export function sampleMotion(id: MoveId, seconds: number, fps = 12, startMs = 0): Pose[] {
+    const spec = MOTIONS[id]
+    const frames: Pose[] = []
+    const n = Math.round(seconds * fps)
+    for (let i = 0; i < n; i++) {
+        const tSec = i / fps
+        const points = spec.poseAt(tSec / spec.cycleSeconds)
+        frames.push({ points, scores: points.map(() => 0.9), t: startMs + tSec * 1000 })
+    }
+    return frames
+}

TUICallKit-Vue3/training/pose/__tests__/session.test.ts

@@ -1,7 +1,8 @@
 import { test } from 'node:test'
 import assert from 'node:assert/strict'
 import { TrainingSession, summarize, type SessionEvent } from '../session.ts'
-import { MOTIONS, sampleMotion } from '../motions.ts'
+import { MOTIONS } from '../motions.ts'
+import { sampleMotion } from './sampleMotion.ts'
 import type { Pose } from '../keypoints.ts'
 
 const standing = (t: number): Pose => {

TUICallKit-Vue3/training/pose/bgm.ts

@@ -177,5 +177,3 @@ export function createBgm(opts: BgmOptions) {
         },
     }
 }
-
-export type Bgm = ReturnType<typeof createBgm>

TUICallKit-Vue3/training/pose/coachFrames.ts

@@ -8,7 +8,7 @@
 import type { MoveId, Side } from './motions.ts'
 import { COACH_HD, COACH_SEQUENCES, type CoachSequence } from './coachSequences.ts'
 
-export type Gesture = 'idle' | 'wave' | 'cheer' | 'thumbs'
+export type Gesture = 'wave' | 'cheer' | 'thumbs'
 
 const MOVE_SEQUENCE: Record<MoveId, Record<Side, string>> = {
     squat: { L: 'squat', R: 'squat' },

TUICallKit-Vue3/training/pose/keypoints.ts

@@ -57,28 +57,6 @@ export const KP = {
 
 export const KEYPOINT_COUNT = 23
 
-/** 画骨架用的连线（左右成对，便于左右分色） */
-export const BONES: Array<[number, number]> = [
-    [KP.L_SHOULDER, KP.R_SHOULDER],
-    [KP.L_HIP, KP.R_HIP],
-    [KP.L_SHOULDER, KP.L_HIP],
-    [KP.R_SHOULDER, KP.R_HIP],
-    [KP.L_SHOULDER, KP.L_ELBOW],
-    [KP.L_ELBOW, KP.L_WRIST],
-    [KP.L_WRIST, KP.L_HAND],
-    [KP.R_SHOULDER, KP.R_ELBOW],
-    [KP.R_ELBOW, KP.R_WRIST],
-    [KP.R_WRIST, KP.R_HAND],
-    [KP.L_HIP, KP.L_KNEE],
-    [KP.L_KNEE, KP.L_ANKLE],
-    [KP.L_ANKLE, KP.L_FOOT_OUT],
-    [KP.L_ANKLE, KP.L_FOOT_IN],
-    [KP.R_HIP, KP.R_KNEE],
-    [KP.R_KNEE, KP.R_ANKLE],
-    [KP.R_ANKLE, KP.R_FOOT_OUT],
-    [KP.R_ANKLE, KP.R_FOOT_IN],
-]
-
 /** 判定“全身入镜”需要看得到的点 */
 export const FULL_BODY_POINTS = [
     KP.NOSE,
@@ -179,11 +157,6 @@ export function smoothPose(prev: Pose | null, next: Pose, alpha = 0.55): Pose {
     return { points, scores, t: next.t, aspect: next.aspect }
 }
 
-/** 水平镜像（前置摄像头预览是镜像的） */
-export function mirrorPose(pose: Pose): Pose {
-    return { ...pose, points: pose.points.map((p) => ({ x: 1 - p.x, y: p.y })) }
-}
-
 type RawPoint = { x: number; y: number } | [number, number]
 
 /**

TUICallKit-Vue3/training/pose/motions.ts

@@ -8,7 +8,7 @@
  * 坐标系与 VisionKit 一致：x/y 归一化到 [0,1]，y 向下；
  * 被拍摄者的“左侧”在画面右侧（未镜像的正面视角）。
  */
-import { KEYPOINT_COUNT, type Point, type Pose } from './keypoints.ts'
+import { KEYPOINT_COUNT, type Point } from './keypoints.ts'
 
 export type MoveId = 'squat' | 'march' | 'jack' | 'raise'
 
@@ -310,19 +310,6 @@ export const MISTAKE_POSES: Record<MoveId, (phase: number) => Point[]> = {
     },
 }
 
-/** 把示范动作按时间采样成 Pose 序列（单测用） */
-export function sampleMotion(id: MoveId, seconds: number, fps = 12, startMs = 0): Pose[] {
-    const spec = MOTIONS[id]
-    const frames: Pose[] = []
-    const n = Math.round(seconds * fps)
-    for (let i = 0; i < n; i++) {
-        const tSec = i / fps
-        const points = spec.poseAt(tSec / spec.cycleSeconds)
-        frames.push({ points, scores: points.map(() => 0.9), t: startMs + tSec * 1000 })
-    }
-    return frames
-}
-
 /**
  * 示范动作“完成一次”的检测：幅度到过顶点、再回落到起始附近，算完成一次。
  * 领练模式按教练动画计数，报数和画面同步（按时钟计数会比教练做完晚半拍）。

training-videos/README.md

@@ -36,7 +36,7 @@ AI 跟练的素材流水线：教练“小甄”动作帧（AI 生成连续动
 - Codex 只能出约 1.5MP 的图，人物 300~450px 高：切帧时先 4 倍超分再缩到主帧尺寸（站姿身高 720px）
 - 设定稿里手臂偶尔碰到隔壁或上一行的人物，切帧会按格子拆开；脚踝以下出现的肤色像素（别人的指尖）会被去掉
 - 生成结果有随机性：先看 `work/preview/contact_*.jpg`，不满意就重新生成那一张；`coach_frames.py` 的 `MOVES` 可指定取哪些人物
-- 手势帧（idle / wave / cheer / thumbs）和错误示范帧（wrong_*）不随动作帧重新生成，导出时沿用 `public/coach/hd` 里已有的
+- 手势帧（wave / cheer / thumbs）和错误示范帧（wrong_*）不随动作帧重新生成，导出时沿用 `public/coach/hd` 里已有的
 - 没有 `work/` 时，可用 `python3 scripts/coach_export.py --from-hd` 从高清帧重新导出小程序帧
 
 ## 高清帧（COS）

training-videos/scripts/coach_export.py

@@ -32,8 +32,8 @@ CDN_MARGIN = 12
 # 每个动作的帧名前缀：同一个动作的所有帧共用一个裁切框，帧与帧之间位置不变
 MOVE_PREFIX = {"squat": ("sq_",), "raise": ("ra_",), "jack": ("jl_", "jr_"), "march": ("ml_", "mr_")}
 
-STATIC_FRAMES = ["idle", "wave", "cheer", "thumbs", "wrong_squat", "wrong_march", "wrong_jack", "wrong_raise"]
-MINI_STATIC = ["idle", "wave", "cheer", "thumbs"]
+STATIC_FRAMES = ["wave", "cheer", "thumbs", "wrong_squat", "wrong_march", "wrong_jack", "wrong_raise"]
+MINI_STATIC = ["wave", "cheer", "thumbs"]
 SEQUENCE_ORDER = ["squat", "raise", "jack_l", "jack_r", "march_l", "march_r"]