feat: 完成数据库种子数据系统开发
- 创建完整的种子数据系统 (seed_data.sql) - 6个用户数据 (管理员 + 5个摄影师) - 9个分类数据 (风景、人像、建筑、街拍、艺术、宠物、食物、旅行、黑白) - 35张照片数据 (涵盖所有分类，均衡分布) - 自动化执行脚本 (run_seed_data.sh) - 数据质量测试脚本 (test_seed_data.sh) - Makefile 集成 (make seed, make test-seed, make db-status) - 完整的使用文档 (SEED_DATA_README.md) - 数据库备份机制，时间戳命名 - 9项自动化测试全部通过，数据质量保证 任务12完成，项目完成率达到40%
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xujiang
288
backend/test_seed_data.sh
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288
backend/test_seed_data.sh
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#!/bin/bash
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# 种子数据验证脚本
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# 用于验证种子数据的完整性和正确性
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set -e
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# 配置
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DB_PATH="./data/photography.db"
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# 颜色定义
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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BLUE='\033[0;34m'
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NC='\033[0m' # No Color
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# 日志函数
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log_info() {
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echo -e "${BLUE}[INFO]${NC} $1"
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}
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log_success() {
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echo -e "${GREEN}[SUCCESS]${NC} $1"
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}
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log_warning() {
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echo -e "${YELLOW}[WARNING]${NC} $1"
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}
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log_error() {
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echo -e "${RED}[ERROR]${NC} $1"
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}
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# 检查数据库是否存在
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check_database() {
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if [ ! -f "$DB_PATH" ]; then
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log_error "数据库文件不存在: $DB_PATH"
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exit 1
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fi
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log_info "数据库文件存在"
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}
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# 测试基础数据统计
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test_basic_stats() {
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log_info "测试基础数据统计..."
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local user_count=$(sqlite3 "$DB_PATH" "SELECT COUNT(*) FROM user;")
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local category_count=$(sqlite3 "$DB_PATH" "SELECT COUNT(*) FROM category;")
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local photo_count=$(sqlite3 "$DB_PATH" "SELECT COUNT(*) FROM photo;")
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echo "用户数量: $user_count (期望: 6)"
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echo "分类数量: $category_count (期望: 9)"
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echo "照片数量: $photo_count (期望: 30)"
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# 验证数据量
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if [ "$user_count" -eq 6 ] && [ "$category_count" -eq 9 ] && [ "$photo_count" -ge 30 ]; then
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log_success "基础数据统计正确"
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else
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log_error "基础数据统计不正确"
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return 1
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fi
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}
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# 测试分类ID连续性
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test_category_ids() {
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log_info "测试分类ID连续性..."
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local missing_ids=$(sqlite3 "$DB_PATH" "
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WITH RECURSIVE series(x) AS (
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SELECT 1
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UNION ALL
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SELECT x+1 FROM series WHERE x < 9
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)
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SELECT COUNT(*) FROM series
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WHERE x NOT IN (SELECT id FROM category);
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")
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if [ "$missing_ids" -eq 0 ]; then
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log_success "分类ID连续性正确"
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else
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log_error "分类ID不连续，缺失 $missing_ids 个ID"
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return 1
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fi
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}
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# 测试用户数据完整性
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test_user_integrity() {
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log_info "测试用户数据完整性..."
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# 检查管理员用户
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local admin_count=$(sqlite3 "$DB_PATH" "SELECT COUNT(*) FROM user WHERE username='admin';")
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if [ "$admin_count" -eq 1 ]; then
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log_success "管理员用户存在"
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else
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log_error "管理员用户不存在或重复"
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return 1
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fi
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# 检查用户名唯一性
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local duplicate_users=$(sqlite3 "$DB_PATH" "
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SELECT COUNT(*) FROM (
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SELECT username FROM user GROUP BY username HAVING COUNT(*) > 1
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);
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")
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if [ "$duplicate_users" -eq 0 ]; then
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log_success "用户名唯一性正确"
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else
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log_error "存在重复用户名"
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return 1
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fi
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}
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# 测试照片数据完整性
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test_photo_integrity() {
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log_info "测试照片数据完整性..."
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# 检查所有照片都有有效的用户ID
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local invalid_user_photos=$(sqlite3 "$DB_PATH" "
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SELECT COUNT(*) FROM photo
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WHERE user_id NOT IN (SELECT id FROM user);
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")
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if [ "$invalid_user_photos" -eq 0 ]; then
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log_success "照片用户关联正确"
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else
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log_error "存在 $invalid_user_photos 张照片的用户ID无效"
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return 1
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fi
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# 检查所有照片都有有效的分类ID
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local invalid_category_photos=$(sqlite3 "$DB_PATH" "
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SELECT COUNT(*) FROM photo
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WHERE category_id NOT IN (SELECT id FROM category);
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")
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if [ "$invalid_category_photos" -eq 0 ]; then
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log_success "照片分类关联正确"
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else
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log_error "存在 $invalid_category_photos 张照片的分类ID无效"
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return 1
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fi
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}
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# 测试分类照片分布
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test_category_distribution() {
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log_info "测试分类照片分布..."
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# 检查是否有分类没有照片
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local empty_categories=$(sqlite3 "$DB_PATH" "
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SELECT COUNT(*) FROM category
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WHERE id NOT IN (SELECT DISTINCT category_id FROM photo);
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")
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if [ "$empty_categories" -eq 0 ]; then
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log_success "所有分类都有照片"
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else
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log_warning "有 $empty_categories 个分类没有照片"
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fi
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# 显示各分类照片数量
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echo "各分类照片数量分布:"
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sqlite3 "$DB_PATH" "
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SELECT
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c.name || ': ' || COUNT(p.id) || '张' as distribution
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FROM category c
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LEFT JOIN photo p ON c.id = p.category_id
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GROUP BY c.id, c.name
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ORDER BY COUNT(p.id) DESC;
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"
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}
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# 测试用户照片分布
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test_user_distribution() {
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log_info "测试用户照片分布..."
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# 检查是否有用户没有照片
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local users_without_photos=$(sqlite3 "$DB_PATH" "
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SELECT COUNT(*) FROM user
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WHERE id NOT IN (SELECT DISTINCT user_id FROM photo);
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")
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if [ "$users_without_photos" -eq 0 ]; then
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log_success "所有用户都有照片"
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else
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log_warning "有 $users_without_photos 个用户没有照片"
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fi
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# 显示各用户照片数量
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echo "各用户照片数量分布:"
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sqlite3 "$DB_PATH" "
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SELECT
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u.username || ': ' || COUNT(p.id) || '张' as distribution
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FROM user u
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LEFT JOIN photo p ON u.id = p.user_id
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GROUP BY u.id, u.username
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ORDER BY COUNT(p.id) DESC;
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"
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}
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# 测试数据时间合理性
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test_data_timestamps() {
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log_info "测试数据时间合理性..."
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# 检查是否有未来时间的数据
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local future_photos=$(sqlite3 "$DB_PATH" "
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SELECT COUNT(*) FROM photo
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WHERE created_at > datetime('now');
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")
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if [ "$future_photos" -eq 0 ]; then
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log_success "照片时间戳合理"
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else
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log_warning "有 $future_photos 张照片的时间戳在未来"
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fi
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}
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# 性能测试
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test_performance() {
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log_info "测试基础查询性能..."
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# 测试分类查询
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local start_time=$(date +%s)
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sqlite3 "$DB_PATH" "SELECT * FROM category;" > /dev/null
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local end_time=$(date +%s)
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local category_time=$((end_time - start_time))
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# 测试照片查询
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start_time=$(date +%s)
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sqlite3 "$DB_PATH" "SELECT * FROM photo LIMIT 10;" > /dev/null
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end_time=$(date +%s)
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local photo_time=$((end_time - start_time))
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echo "分类查询时间: ${category_time}s"
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echo "照片查询时间: ${photo_time}s"
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if [ "$category_time" -lt 2 ] && [ "$photo_time" -lt 2 ]; then
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log_success "查询性能良好"
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else
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log_warning "查询性能可能需要优化"
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fi
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}
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# 主函数
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main() {
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log_info "开始种子数据验证测试"
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echo "=================================================="
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local test_count=0
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local passed_count=0
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# 运行所有测试
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tests=(
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"check_database"
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"test_basic_stats"
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"test_category_ids"
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"test_user_integrity"
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"test_photo_integrity"
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"test_category_distribution"
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"test_user_distribution"
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"test_data_timestamps"
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"test_performance"
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)
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for test in "${tests[@]}"; do
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test_count=$((test_count + 1))
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echo ""
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if $test; then
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passed_count=$((passed_count + 1))
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fi
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done
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echo ""
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echo "=================================================="
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echo "测试完成: $passed_count/$test_count 通过"
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if [ "$passed_count" -eq "$test_count" ]; then
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log_success "所有测试通过！种子数据质量良好"
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exit 0
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else
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log_warning "部分测试失败，请检查数据质量"
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exit 1
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fi
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}
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# 脚本入口
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main "$@"
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