Update mini program development documentation and enhance user interface elements

- Added a new entry for the latest mini program development rules and APIs in the evolution index.
- Updated the skill documentation to include guidelines on privacy authorization and capability detection.
- Modified the read and settings pages to improve user experience with new input styles and layout adjustments.
- Implemented user-select functionality for text elements in the read page to enhance interactivity.
- Refined CSS styles for better responsiveness and visual consistency across various components.

soul-api/internal/handler/db_book.go

@@ -3,7 +3,6 @@ package handler
 import (
 	"context"
 	"encoding/json"
-	"math"
 	"net/http"
 	"sort"
 	"time"
@@ -87,7 +86,9 @@ func computeArticleRankingSections(db *gorm.DB) ([]sectionListItem, error) {
 	return sections, nil
 }
 
-// computeSectionsWithHotScore 内部：计算 hotScore，可选设置 isPinned
+// computeSectionsWithHotScore 内部：按排名分算法计算 hotScore
+// 热度积分 = 阅读权重×阅读排名分 + 新度权重×新度排名分 + 付款权重×付款排名分
+// 阅读量前20名: 第1名=20分...第20名=1分；最近更新前30篇: 第1名=30分...第30名=1分；付款数前20名: 第1名=20分...第20名=1分
 func computeSectionsWithHotScore(db *gorm.DB, setPinned bool) ([]sectionListItem, error) {
 	var rows []model.Chapter
 	if err := db.Select(listSelectCols).Order("sort_order ASC, id ASC").Find(&rows).Error; err != nil {
@@ -123,7 +124,7 @@ func computeSectionsWithHotScore(db *gorm.DB, setPinned bool) ([]sectionListItem
 			payCountMap[r.ProductID] = r.Cnt
 		}
 	}
-	readWeight, payWeight, recencyWeight := 0.5, 0.3, 0.2
+	readWeight, payWeight, recencyWeight := 0.1, 0.4, 0.5 // 默认与截图一致
 	var cfg model.SystemConfig
 	if err := db.Where("config_key = ?", "article_ranking_weights").First(&cfg).Error; err == nil && len(cfg.ConfigValue) > 0 {
 		var v struct {
@@ -132,13 +133,13 @@ func computeSectionsWithHotScore(db *gorm.DB, setPinned bool) ([]sectionListItem
 			PayWeight     float64 `json:"payWeight"`
 		}
 		if err := json.Unmarshal(cfg.ConfigValue, &v); err == nil {
-			if v.ReadWeight > 0 {
+			if v.ReadWeight >= 0 {
 				readWeight = v.ReadWeight
 			}
-			if v.PayWeight > 0 {
+			if v.PayWeight >= 0 {
 				payWeight = v.PayWeight
 			}
-			if v.RecencyWeight > 0 {
+			if v.RecencyWeight >= 0 {
 				recencyWeight = v.RecencyWeight
 			}
 		}
@@ -156,7 +157,52 @@ func computeSectionsWithHotScore(db *gorm.DB, setPinned bool) ([]sectionListItem
 			pinnedSet[id] = true
 		}
 	}
-	now := time.Now()
+
+	// 1. 阅读量排名：按 readCount 降序，前20名得 20~1 分
+	type idCnt struct {
+		id  string
+		cnt int64
+	}
+	readRank := make([]idCnt, 0, len(rows))
+	for _, r := range rows {
+		readRank = append(readRank, idCnt{r.ID, readCountMap[r.ID]})
+	}
+	sort.Slice(readRank, func(i, j int) bool { return readRank[i].cnt > readRank[j].cnt })
+	readRankScoreMap := make(map[string]float64)
+	for i := 0; i < len(readRank) && i < 20; i++ {
+		readRankScoreMap[readRank[i].id] = float64(20 - i)
+	}
+
+	// 2. 新度排名：按 updated_at 降序（最近更新在前），前30篇得 30~1 分
+	recencyRank := make([]struct {
+		id        string
+		updatedAt time.Time
+	}, 0, len(rows))
+	for _, r := range rows {
+		recencyRank = append(recencyRank, struct {
+			id        string
+			updatedAt time.Time
+		}{r.ID, r.UpdatedAt})
+	}
+	sort.Slice(recencyRank, func(i, j int) bool {
+		return recencyRank[i].updatedAt.After(recencyRank[j].updatedAt)
+	})
+	recencyRankScoreMap := make(map[string]float64)
+	for i := 0; i < len(recencyRank) && i < 30; i++ {
+		recencyRankScoreMap[recencyRank[i].id] = float64(30 - i)
+	}
+
+	// 3. 付款数排名：按 payCount 降序，前20名得 20~1 分
+	payRank := make([]idCnt, 0, len(rows))
+	for _, r := range rows {
+		payRank = append(payRank, idCnt{r.ID, payCountMap[r.ID]})
+	}
+	sort.Slice(payRank, func(i, j int) bool { return payRank[i].cnt > payRank[j].cnt })
+	payRankScoreMap := make(map[string]float64)
+	for i := 0; i < len(payRank) && i < 20; i++ {
+		payRankScoreMap[payRank[i].id] = float64(20 - i)
+	}
+
 	sections := make([]sectionListItem, 0, len(rows))
 	for _, r := range rows {
 		price := 1.0
@@ -165,15 +211,15 @@ func computeSectionsWithHotScore(db *gorm.DB, setPinned bool) ([]sectionListItem
 		}
 		readCnt := readCountMap[r.ID]
 		payCnt := payCountMap[r.ID]
-		recencyScore := 0.0
-		if !r.UpdatedAt.IsZero() {
-			days := now.Sub(r.UpdatedAt).Hours() / 24
-			recencyScore = math.Max(0, (30-days)/30)
-			if recencyScore > 1 {
-				recencyScore = 1
-			}
+		readRankScore := readRankScoreMap[r.ID]
+		recencyRankScore := recencyRankScoreMap[r.ID]
+		payRankScore := payRankScoreMap[r.ID]
+		// 热度积分 = 阅读权重×阅读排名分 + 新度权重×新度排名分 + 付款权重×付款排名分
+		hot := readWeight*readRankScore + recencyWeight*recencyRankScore + payWeight*payRankScore
+		// 若章节有手动覆盖的 hot_score（>0），则优先使用
+		if r.HotScore > 0 {
+			hot = float64(r.HotScore)
 		}
-		hot := float64(readCnt)*readWeight + float64(payCnt)*payWeight + recencyScore*recencyWeight
 		item := sectionListItem{
 			ID:           r.ID,
 			MID:          r.MID,