v0.2.7: 修复Redis连接 + 启动管理后台
- 修复Redis认证 (配置密码) - 启动Python管理后台 (端口9531, 15个功能开关) - 统一版本号 0.2.7 - 更新docker-compose.yml (镜像版本/Redis URL/Admin服务)
This commit is contained in:
161
source_clean/src/admin/stats.service.ts
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161
source_clean/src/admin/stats.service.ts
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import { getDb } from '../database/database';
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import { formatLocalDate } from '../utils/time';
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export interface AdminStats {
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todaySearches: number;
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todaySaves: number;
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monthSearches: number;
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monthSaves: number;
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totalSearches: number;
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totalSaves: number;
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hotKeywords: Array<{ keyword: string; count: number }>;
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trendTrend: Array<{ date: string; searches: number; saves: number; searchDelta: number; saveDelta: number }>;
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cloudUsage: Array<{
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cloudType: string;
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nickname: string;
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storageUsed: string;
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storageTotal: string;
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isActive: boolean;
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}>;
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topIps: Array<{ ip: string; ip_location: string | null; count: number }>;
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provinceRankings: Array<{ province: string; count: number }>;
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}
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/**
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* Get today's date string in the configured timezone (e.g. "2026-05-04").
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* Delegates to shared formatLocalDate() in utils/time.ts.
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*/
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function todayLocalDate(): string {
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return formatLocalDate();
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}
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/**
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* Get the first day of the current month in the configured timezone.
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*/
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function monthStartLocalDate(): string {
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return todayLocalDate().slice(0, 7) + '-01';
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}
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export function getStats(trendDays: number = 7): AdminStats {
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const db = getDb();
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// Use local timezone date — NOT UTC via toISOString()
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const today = todayLocalDate();
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const monthStart = monthStartLocalDate();
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// IMPORTANT: created_at is stored as "YYYY-MM-DDTHH:mm:ss+08:00" (localTimestamp)
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// SQLite's date() function would interpret the +08:00 timezone offset and
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// convert to UTC, giving wrong date. Instead, use SUBSTR to get first 10 chars.
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const todaySearchesRow = db.prepare(
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"SELECT COUNT(*) as count FROM search_stats WHERE SUBSTR(created_at, 1, 10) = ?"
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).get(today) as any;
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const todaySavesRow = db.prepare(
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"SELECT COUNT(*) as count FROM save_records WHERE SUBSTR(created_at, 1, 10) = ?"
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).get(today) as any;
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const monthSearchesRow = db.prepare(
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"SELECT COUNT(*) as count FROM search_stats WHERE SUBSTR(created_at, 1, 10) >= ?"
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).get(monthStart) as any;
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const monthSavesRow = db.prepare(
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"SELECT COUNT(*) as count FROM save_records WHERE SUBSTR(created_at, 1, 10) >= ?"
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).get(monthStart) as any;
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// Total searches
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const totalSearchesRow = db.prepare(
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"SELECT COUNT(*) as count FROM search_stats"
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).get() as any;
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// Total saves
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const totalSavesRow = db.prepare(
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"SELECT COUNT(*) as count FROM save_records"
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).get() as any;
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// Hot keywords
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const hotKeywords = db.prepare(
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'SELECT keyword, search_count as count FROM hot_keywords ORDER BY search_count DESC LIMIT 20'
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).all() as Array<{ keyword: string; count: number }>;
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// Trend data (configurable days, default 7)
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const trendLen = Math.min(Math.max(trendDays, 1), 90);
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const trendTrend: Array<{ date: string; searches: number; saves: number; searchDelta: number; saveDelta: number }> = [];
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for (let i = trendLen - 1; i >= 0; i--) {
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const d = new Date();
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const target = new Date(d.getTime() - i * 86400000);
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const dateStr = formatLocalDate(target);
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const searchRow = db.prepare(
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"SELECT COUNT(*) as count FROM search_stats WHERE SUBSTR(created_at, 1, 10) = ?"
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).get(dateStr) as any;
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const saveRow = db.prepare(
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"SELECT COUNT(*) as count FROM save_records WHERE SUBSTR(created_at, 1, 10) = ?"
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).get(dateStr) as any;
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trendTrend.push({
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date: dateStr,
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searches: searchRow?.count || 0,
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saves: saveRow?.count || 0,
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searchDelta: 0,
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saveDelta: 0,
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});
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}
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// Compute day-over-day delta (absolute change from previous day)
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for (let i = trendTrend.length - 1; i > 0; i--) {
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const prev = trendTrend[i - 1];
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const curr = trendTrend[i];
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curr.searchDelta = curr.searches - prev.searches;
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curr.saveDelta = curr.saves - prev.saves;
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}
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// Cloud usage
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const cloudUsage = db.prepare(
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'SELECT cloud_type as cloudType, nickname, storage_used as storageUsed, storage_total as storageTotal, is_active as isActive FROM cloud_configs ORDER BY id ASC'
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).all() as Array<{
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cloudType: string;
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nickname: string;
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storageUsed: string;
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storageTotal: string;
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isActive: boolean;
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}>;
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// Top IPs from save_records — correctly count total per IP, then get latest location
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const topIps = db.prepare(
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`SELECT ip_address as ip, COUNT(*) as count,
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(SELECT ip_location FROM save_records s2
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WHERE s2.ip_address = s1.ip_address AND s2.ip_location IS NOT NULL AND s2.ip_location != ''
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ORDER BY s2.created_at DESC LIMIT 1) as ip_location
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FROM save_records s1
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WHERE ip_address IS NOT NULL AND ip_address != ''
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GROUP BY ip_address
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ORDER BY count DESC LIMIT 10`
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).all() as Array<{ ip: string; ip_location: string | null; count: number }>;
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// Province rankings — extract province from ip_location (first segment)
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let provinceRankings: Array<{ province: string; count: number }> = [];
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const locRows = db.prepare(
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`SELECT ip_location FROM save_records WHERE ip_location IS NOT NULL AND ip_location != ''`
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).all() as Array<{ ip_location: string }>;
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const provMap = new Map<string, number>();
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for (const row of locRows) {
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const parts = row.ip_location.trim().split(/\s+/);
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const province = parts[0] || '未知';
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provMap.set(province, (provMap.get(province) || 0) + 1);
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}
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provinceRankings = Array.from(provMap.entries())
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.map(([province, count]) => ({ province, count }))
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.sort((a, b) => b.count - a.count)
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.slice(0, 15);
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return {
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todaySearches: (todaySearchesRow as any)?.count || 0,
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todaySaves: (todaySavesRow as any)?.count || 0,
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monthSearches: (monthSearchesRow as any)?.count || 0,
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monthSaves: (monthSavesRow as any)?.count || 0,
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totalSearches: (totalSearchesRow as any)?.count || 0,
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totalSaves: (totalSavesRow as any)?.count || 0,
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hotKeywords,
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trendTrend,
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cloudUsage,
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topIps,
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provinceRankings,
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};
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}
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