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