Checkpoint: Tennis Training Hub v1.0 - 完整功能版本：用户名登录、AI训练计划生成、MediaPipe视频姿势识别、击球统计、挥拍速度分析、NTRP自动评分系统、训练进度追踪、视频库管理、AI矫正建议

drizzle/schema.ts

@@ -1,22 +1,25 @@
-import { int, mysqlEnum, mysqlTable, text, timestamp, varchar } from "drizzle-orm/mysql-core";
+import { int, mysqlEnum, mysqlTable, text, timestamp, varchar, json, float } from "drizzle-orm/mysql-core";
 
 /**
- * Core user table backing auth flow.
- * Extend this file with additional tables as your product grows.
- * Columns use camelCase to match both database fields and generated types.
+ * Core user table - supports both OAuth and simple username login
  */
 export const users = mysqlTable("users", {
-  /**
-   * Surrogate primary key. Auto-incremented numeric value managed by the database.
-   * Use this for relations between tables.
-   */
   id: int("id").autoincrement().primaryKey(),
-  /** Manus OAuth identifier (openId) returned from the OAuth callback. Unique per user. */
   openId: varchar("openId", { length: 64 }).notNull().unique(),
   name: text("name"),
   email: varchar("email", { length: 320 }),
   loginMethod: varchar("loginMethod", { length: 64 }),
   role: mysqlEnum("role", ["user", "admin"]).default("user").notNull(),
+  /** Tennis skill level */
+  skillLevel: mysqlEnum("skillLevel", ["beginner", "intermediate", "advanced"]).default("beginner"),
+  /** User's training goals */
+  trainingGoals: text("trainingGoals"),
+  /** NTRP rating (1.0 - 5.0) */
+  ntrpRating: float("ntrpRating").default(1.5),
+  /** Total training sessions completed */
+  totalSessions: int("totalSessions").default(0),
+  /** Total training minutes */
+  totalMinutes: int("totalMinutes").default(0),
   createdAt: timestamp("createdAt").defaultNow().notNull(),
   updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
   lastSignedIn: timestamp("lastSignedIn").defaultNow().notNull(),
@@ -25,4 +28,156 @@ export const users = mysqlTable("users", {
 export type User = typeof users.$inferSelect;
 export type InsertUser = typeof users.$inferInsert;
 
-// TODO: Add your tables here
+/**
+ * Simple username-based login accounts
+ */
+export const usernameAccounts = mysqlTable("username_accounts", {
+  id: int("id").autoincrement().primaryKey(),
+  username: varchar("username", { length: 64 }).notNull().unique(),
+  userId: int("userId").notNull(),
+  createdAt: timestamp("createdAt").defaultNow().notNull(),
+});
+
+export type UsernameAccount = typeof usernameAccounts.$inferSelect;
+
+/**
+ * Training plans generated for users
+ */
+export const trainingPlans = mysqlTable("training_plans", {
+  id: int("id").autoincrement().primaryKey(),
+  userId: int("userId").notNull(),
+  title: varchar("title", { length: 256 }).notNull(),
+  skillLevel: mysqlEnum("skillLevel", ["beginner", "intermediate", "advanced"]).notNull(),
+  /** Plan duration in days */
+  durationDays: int("durationDays").notNull().default(7),
+  /** JSON array of training exercises */
+  exercises: json("exercises").notNull(),
+  /** Whether this plan is currently active */
+  isActive: int("isActive").notNull().default(1),
+  /** Auto-adjustment notes from AI analysis */
+  adjustmentNotes: text("adjustmentNotes"),
+  /** Plan generation version for tracking adjustments */
+  version: int("version").notNull().default(1),
+  createdAt: timestamp("createdAt").defaultNow().notNull(),
+  updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
+});
+
+export type TrainingPlan = typeof trainingPlans.$inferSelect;
+export type InsertTrainingPlan = typeof trainingPlans.$inferInsert;
+
+/**
+ * Training videos uploaded by users
+ */
+export const trainingVideos = mysqlTable("training_videos", {
+  id: int("id").autoincrement().primaryKey(),
+  userId: int("userId").notNull(),
+  title: varchar("title", { length: 256 }).notNull(),
+  /** S3 file key */
+  fileKey: varchar("fileKey", { length: 512 }).notNull(),
+  /** CDN URL for the video */
+  url: text("url").notNull(),
+  /** Video format: webm or mp4 */
+  format: varchar("format", { length: 16 }).notNull(),
+  /** File size in bytes */
+  fileSize: int("fileSize"),
+  /** Duration in seconds */
+  duration: float("duration"),
+  /** Type of exercise in the video */
+  exerciseType: varchar("exerciseType", { length: 64 }),
+  /** Analysis status */
+  analysisStatus: mysqlEnum("analysisStatus", ["pending", "analyzing", "completed", "failed"]).default("pending"),
+  createdAt: timestamp("createdAt").defaultNow().notNull(),
+  updatedAt: timestamp("updatedAt").defaultNow().onUpdateNow().notNull(),
+});
+
+export type TrainingVideo = typeof trainingVideos.$inferSelect;
+export type InsertTrainingVideo = typeof trainingVideos.$inferInsert;
+
+/**
+ * Pose analysis results from MediaPipe - enhanced with tennis_analysis features
+ */
+export const poseAnalyses = mysqlTable("pose_analyses", {
+  id: int("id").autoincrement().primaryKey(),
+  videoId: int("videoId").notNull(),
+  userId: int("userId").notNull(),
+  /** Overall pose score (0-100) */
+  overallScore: float("overallScore"),
+  /** JSON object with detailed joint angles and metrics */
+  poseMetrics: json("poseMetrics"),
+  /** JSON array of detected issues */
+  detectedIssues: json("detectedIssues"),
+  /** JSON array of correction suggestions */
+  corrections: json("corrections"),
+  /** Exercise type analyzed */
+  exerciseType: varchar("exerciseType", { length: 64 }),
+  /** Number of frames analyzed */
+  framesAnalyzed: int("framesAnalyzed"),
+  /** --- tennis_analysis inspired fields --- */
+  /** Number of swings/shots detected */
+  shotCount: int("shotCount").default(0),
+  /** Average swing speed (estimated from keypoint displacement, px/frame) */
+  avgSwingSpeed: float("avgSwingSpeed"),
+  /** Max swing speed detected */
+  maxSwingSpeed: float("maxSwingSpeed"),
+  /** Total body movement distance in pixels */
+  totalMovementDistance: float("totalMovementDistance"),
+  /** Stroke consistency score (0-100) */
+  strokeConsistency: float("strokeConsistency"),
+  /** Footwork score (0-100) */
+  footworkScore: float("footworkScore"),
+  /** Fluidity/smoothness score (0-100) */
+  fluidityScore: float("fluidityScore"),
+  /** JSON array of key moments [{frame, type, description}] */
+  keyMoments: json("keyMoments"),
+  /** JSON array of movement trajectory points [{x, y, frame}] */
+  movementTrajectory: json("movementTrajectory"),
+  createdAt: timestamp("createdAt").defaultNow().notNull(),
+});
+
+export type PoseAnalysis = typeof poseAnalyses.$inferSelect;
+export type InsertPoseAnalysis = typeof poseAnalyses.$inferInsert;
+
+/**
+ * Training session records for progress tracking
+ */
+export const trainingRecords = mysqlTable("training_records", {
+  id: int("id").autoincrement().primaryKey(),
+  userId: int("userId").notNull(),
+  planId: int("planId"),
+  /** Exercise name/type */
+  exerciseName: varchar("exerciseName", { length: 128 }).notNull(),
+  /** Duration in minutes */
+  durationMinutes: int("durationMinutes"),
+  /** Completion status */
+  completed: int("completed").notNull().default(0),
+  /** Optional notes */
+  notes: text("notes"),
+  /** Pose score if video was analyzed */
+  poseScore: float("poseScore"),
+  /** Date of training */
+  trainingDate: timestamp("trainingDate").defaultNow().notNull(),
+  createdAt: timestamp("createdAt").defaultNow().notNull(),
+});
+
+export type TrainingRecord = typeof trainingRecords.$inferSelect;
+export type InsertTrainingRecord = typeof trainingRecords.$inferInsert;
+
+/**
+ * NTRP Rating history - tracks rating changes over time
+ */
+export const ratingHistory = mysqlTable("rating_history", {
+  id: int("id").autoincrement().primaryKey(),
+  userId: int("userId").notNull(),
+  /** NTRP rating at this point */
+  rating: float("rating").notNull(),
+  /** What triggered this rating update */
+  reason: varchar("reason", { length: 256 }),
+  /** JSON breakdown of dimension scores */
+  dimensionScores: json("dimensionScores"),
+  /** Reference analysis ID if applicable */
+  analysisId: int("analysisId"),
+  createdAt: timestamp("createdAt").defaultNow().notNull(),
+});
+
+export type RatingHistory = typeof ratingHistory.$inferSelect;
+export type InsertRatingHistory = typeof ratingHistory.$inferInsert;