feat: refactor AI interpretation system and fix recordId issues

- Refactored AI interpretation table to use proper 1-to-1 relationship with reading records
- Fixed recordId parameter passing in AnalysisResultDisplay component
- Updated database schema to use reading_id instead of analysis_id
- Removed complex string ID generation logic
- Fixed TypeScript type definitions for all ID fields
- Added database migration scripts for AI interpretation refactoring
- Improved error handling and debugging capabilities
This commit is contained in:
patdelphi
2025-08-23 23:05:13 +08:00
parent 529ae3b8aa
commit d1713be5f5
25 changed files with 1580 additions and 264 deletions

View File

@@ -0,0 +1,103 @@
const { getDB } = require('../database/index.cjs');
/**
* 迁移ai_interpretations表将analysis_id字段从INTEGER改为TEXT
* 这样可以支持字符串类型的analysis_id
*/
function migrateAiInterpretationsTable() {
const db = getDB();
try {
console.log('开始迁移ai_interpretations表...');
// 检查表是否存在
const tableExists = db.prepare(
"SELECT name FROM sqlite_master WHERE type='table' AND name='ai_interpretations'"
).get();
if (!tableExists) {
console.log('ai_interpretations表不存在跳过迁移');
return;
}
// 检查analysis_id字段的类型
const columnInfo = db.prepare("PRAGMA table_info(ai_interpretations)").all();
const analysisIdColumn = columnInfo.find(col => col.name === 'analysis_id');
if (analysisIdColumn && analysisIdColumn.type === 'TEXT') {
console.log('analysis_id字段已经是TEXT类型无需迁移');
return;
}
// 开始事务
db.exec('BEGIN TRANSACTION');
// 1. 创建新的临时表
db.exec(`
CREATE TABLE ai_interpretations_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER NOT NULL,
analysis_id TEXT NOT NULL,
analysis_type TEXT NOT NULL CHECK (analysis_type IN ('bazi', 'ziwei', 'yijing')),
content TEXT NOT NULL,
model TEXT,
tokens_used INTEGER,
success BOOLEAN DEFAULT 1,
error_message TEXT,
created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
)
`);
// 2. 复制数据到新表将INTEGER转换为TEXT
db.exec(`
INSERT INTO ai_interpretations_new
(id, user_id, analysis_id, analysis_type, content, model, tokens_used, success, error_message, created_at, updated_at)
SELECT
id, user_id, CAST(analysis_id AS TEXT), analysis_type, content, model, tokens_used, success, error_message, created_at, updated_at
FROM ai_interpretations
`);
// 3. 删除旧表
db.exec('DROP TABLE ai_interpretations');
// 4. 重命名新表
db.exec('ALTER TABLE ai_interpretations_new RENAME TO ai_interpretations');
// 5. 重新创建索引
db.exec('CREATE INDEX IF NOT EXISTS idx_ai_interpretations_user_id ON ai_interpretations(user_id)');
db.exec('CREATE INDEX IF NOT EXISTS idx_ai_interpretations_analysis_id ON ai_interpretations(analysis_id)');
db.exec('CREATE INDEX IF NOT EXISTS idx_ai_interpretations_created_at ON ai_interpretations(created_at DESC)');
// 提交事务
db.exec('COMMIT');
console.log('ai_interpretations表迁移完成');
} catch (error) {
// 回滚事务
try {
db.exec('ROLLBACK');
} catch (rollbackError) {
console.error('回滚失败:', rollbackError);
}
console.error('迁移失败:', error);
throw error;
}
}
// 如果直接运行此脚本
if (require.main === module) {
try {
migrateAiInterpretationsTable();
console.log('迁移成功完成');
process.exit(0);
} catch (error) {
console.error('迁移失败:', error);
process.exit(1);
}
}
module.exports = { migrateAiInterpretationsTable };