#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Save agent configuration for current user""" import json, uuid, time result = {'widgettype': 'Message', 'options': {'title': 'Error', 'message': 'Invalid request', 'type': 'error'}} try: dbname = get_module_dbname('harnessed_agent') user_id = await get_user() now = time.strftime('%Y-%m-%d %H:%M:%S') work_dir = params_kw.get('work_dir', './hermes_work').strip() skills_path = params_kw.get('skills_path', '~/.hermes/skills').strip() max_memory_tokens = int(params_kw.get('max_memory_tokens', 2000)) default_priority = int(params_kw.get('default_priority', 50)) high_priority_threshold = int(params_kw.get('high_priority_threshold', 70)) low_priority_threshold = int(params_kw.get('low_priority_threshold', 30)) auto_cleanup_enabled = '1' if params_kw.get('auto_cleanup_enabled') == '1' else '0' min_retention_days = int(params_kw.get('min_retention_days', 30)) default_model = params_kw.get('default_model', 'qwen3-max').strip() default_temperature = float(params_kw.get('default_temperature', 0.7)) enable_streaming = '1' if params_kw.get('enable_streaming') == '1' else '0' async with DBPools().sqlorContext(dbname) as sor: rows = await sor.sqlExe("SELECT id FROM harnessed_agent_config WHERE user_id = ${user_id}$", {'user_id': user_id}) if rows and len(rows) > 0: config_id = rows[0]['id'] await sor.sqlExe("""UPDATE harnessed_agent_config SET work_dir = ${work_dir}$, skills_path = ${skills_path}$, max_memory_tokens = ${max_memory_tokens}$, default_priority = ${default_priority}$, high_priority_threshold = ${high_priority_threshold}$, low_priority_threshold = ${low_priority_threshold}$, auto_cleanup_enabled = ${auto_cleanup_enabled}$, min_retention_days = ${min_retention_days}$, default_model = ${default_model}$, default_temperature = ${default_temperature}$, enable_streaming = ${enable_streaming}$, updated_at = ${updated_at}$ WHERE id = ${id}$""", { 'id': config_id, 'work_dir': work_dir, 'skills_path': skills_path, 'max_memory_tokens': max_memory_tokens, 'default_priority': default_priority, 'high_priority_threshold': high_priority_threshold, 'low_priority_threshold': low_priority_threshold, 'auto_cleanup_enabled': auto_cleanup_enabled, 'min_retention_days': min_retention_days, 'default_model': default_model, 'default_temperature': default_temperature, 'enable_streaming': enable_streaming, 'updated_at': now }) else: config_id = str(uuid.uuid4()).replace('-', '')[:32] await sor.sqlExe("""INSERT INTO harnessed_agent_config (id, user_id, work_dir, skills_path, max_memory_tokens, default_priority, high_priority_threshold, low_priority_threshold, auto_cleanup_enabled, min_retention_days, default_model, default_temperature, enable_streaming, created_at, updated_at) VALUES (${id}$, ${user_id}$, ${work_dir}$, ${skills_path}$, ${max_memory_tokens}$, ${default_priority}$, ${high_priority_threshold}$, ${low_priority_threshold}$, ${auto_cleanup_enabled}$, ${min_retention_days}$, ${default_model}$, ${default_temperature}$, ${enable_streaming}$, ${created_at}$, ${updated_at}$)""", { 'id': config_id, 'user_id': user_id, 'work_dir': work_dir, 'skills_path': skills_path, 'max_memory_tokens': max_memory_tokens, 'default_priority': default_priority, 'high_priority_threshold': high_priority_threshold, 'low_priority_threshold': low_priority_threshold, 'auto_cleanup_enabled': auto_cleanup_enabled, 'min_retention_days': min_retention_days, 'default_model': default_model, 'default_temperature': default_temperature, 'enable_streaming': enable_streaming, 'created_at': now, 'updated_at': now }) result = {'widgettype': 'Message', 'options': {'title': 'Success', 'message': '配置保存成功', 'type': 'success'}} except Exception as e: result['options'] = {'title': 'Error', 'message': '保存失败: ' + str(e), 'type': 'error'} return json.dumps(result, ensure_ascii=False)