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361 lines
18 KiB
Python
361 lines
18 KiB
Python
# -*- coding: utf-8 -*-
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import openai
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import requests, json
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import datetime
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# from transformers import TextDavinciTokenizer, TextDavinciModel
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from odoo import api, fields, models, tools, _
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from odoo.exceptions import UserError
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from odoo.osv import expression
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from odoo.addons.app_common.models.base import get_ua_type
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import logging
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_logger = logging.getLogger(__name__)
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class Channel(models.Model):
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_inherit = 'mail.channel'
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is_private = fields.Boolean(string="Private", default=False, help="Check to set Private, Can only use by user, not Public")
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# 因为 channel_member_ids 不好处理，在此增加此字段
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# 主Ai
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ai_partner_id = fields.Many2one(comodel_name="res.partner", string="Main Ai", required=False,
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domain=[('gpt_id', '!=', None), ('is_chat_private', '=', True)],
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default=lambda self: self._app_get_m2o_default('ai_partner_id'),
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help="Main Ai is the robot help you default.")
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ext_ai_partner_id = fields.Many2one(comodel_name="res.partner", string="Secondary Ai",
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domain=[('gpt_id', '!=', None), ('is_chat_private', '=', True)])
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description = fields.Char('Ai Character', help="Ai would help you act as the Character set.")
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set_max_tokens = fields.Selection([
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('300', 'Short'),
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('600', 'Standard'),
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('1000', 'Medium'),
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('2000', 'Long'),
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('3000', 'Overlength'),
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('32000', '32K'),
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], string='Max Response', default='600', help="越大返回内容越多，计费也越多")
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set_chat_count = fields.Selection([
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('none', 'Ai Auto'),
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('1', '1标准'),
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('3', '3强关联'),
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('5', '5超强关联'),
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], string="History Count", default='1', help="0-5，设定后，会将最近n次对话发给Ai，有助于他更好的回答，但太大费用也高")
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set_temperature = fields.Selection([
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('2', '天马行空'),
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('1.5', '创造性'),
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('1', '标准'),
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('0.6', '理性'),
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('0.1', '保守'),
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], string="Set Temperature", default='1', help="0-21，值越大越富有想像力，越小则越保守")
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set_top_p = fields.Selection([
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('0.9', '严谨惯性思维'),
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('0.6', '标准推理'),
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('0.4', '跳跃性'),
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('0.1', '随便'),
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], string="Top Probabilities", default='0.6', help="0-1，值越大越倾向大众化的连贯思维")
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# 避免使用常用词
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set_frequency_penalty = fields.Selection([
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('2', '老学究-晦涩难懂'),
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('1.5', '学院派-较多高级词'),
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('1', '标准'),
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('0.1', '少常用词'),
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('-1', '通俗易懂'),
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('-2', '大白话'),
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], string='Frequency Penalty', default='1', help="-2~2，值越大越少使用常用词")
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set_presence_penalty = fields.Selection([
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('2', '多样强迫症'),
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('1.5', '新颖化'),
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('1', '标准'),
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('0.1', '允许常规重复'),
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('-1', '允许较多重复'),
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('-2', '更多强调重复'),
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], string='Presence penalty', default='1', help="-2~2，值越大越少重复词")
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# todo: 这里用 compute?
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max_tokens = fields.Integer('最长响应Token', default=600, help="越大返回内容越多，计费也越多")
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chat_count = fields.Integer(string="上下文数量", default=0, help="0~3，设定后，会将最近n次对话发给Ai，有助于他更好的回答")
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temperature = fields.Float(string="创造性值", default=1, help="0~2，值越大越富有想像力，越小则越保守")
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top_p = fields.Float(string="连贯性值", default=0.6, help="0~1，值越大越富有想像力，越小则越保守")
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frequency_penalty = fields.Float('避免常用词值', default=1, help="-2~2，值越大越少使用常用词")
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presence_penalty = fields.Float('避免重复词值', default=1, help="-2~2，值越大越少重复词")
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is_current_channel = fields.Boolean('是否当前用户默认频道', compute='_compute_is_current_channel', help='是否当前用户默认微信对话频道')
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def name_get(self):
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result = []
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for c in self:
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if c.channel_type == 'channel' and c.is_private:
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pre = '[私]'
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else:
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pre = ''
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result.append((c.id, "%s%s" % (pre, c.name or '')))
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return result
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def get_openai_context(self, channel_id, author_id, answer_id, minutes=60, chat_count=0):
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# 上下文处理，要处理群的方式，以及独聊的方式
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# azure新api 处理
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context_history = []
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afterTime = fields.Datetime.now() - datetime.timedelta(minutes=minutes)
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message_model = self.env['mail.message'].sudo()
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# 处理消息： 取最新问题 + 上 chat_count=1次的交互，将之前的交互按时间顺序拼接。
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# 注意： ai 每一次回复都有 parent_id 来处理连续性
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# 私聊处理
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# todo: 更好的处理方式
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domain = [('res_id', '=', channel_id),
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('model', '=', 'mail.channel'),
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('message_type', '!=', 'user_notification'),
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('parent_id', '!=', False),
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('is_ai', '=', True),
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('body', '!=', '<p>%s</p>' % _('Response Timeout, please speak again.')),
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('body', '!=', _('温馨提示：您发送的内容含有敏感词，请修改内容后再向我发送。'))]
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if self.channel_type in ['group', 'channel']:
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# 群聊增加时间限制，当前找所有人，不限制 author_id
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domain = expression.AND([domain, [('date', '>=', afterTime)]])
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else:
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domain = expression.AND([domain, [('author_id', '=', answer_id.id)]])
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if chat_count == 0:
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ai_msg_list = []
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else:
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ai_msg_list = message_model.with_context(tz='UTC').search(domain, order="id desc", limit=chat_count)
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for ai_msg in ai_msg_list:
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# 判断这个 ai_msg 是不是ai发，有才 insert。 判断 user_msg 是不是 user发的，有才 insert
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user_msg = ai_msg.parent_id.sudo()
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if ai_msg.author_id.sudo().gpt_id and answer_id.sudo().gpt_id and ai_msg.author_id.sudo().gpt_id == answer_id.sudo().gpt_id:
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ai_content = str(ai_msg.body).replace("<p>", "").replace("</p>", "").replace("<p>", "")
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context_history.insert(0, {
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'role': 'assistant',
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'content': ai_content,
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})
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if not user_msg.author_id.gpt_id:
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user_content = user_msg.description.replace("<p>", "").replace("</p>", "").replace('@%s' % answer_id.name, '').lstrip()
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context_history.insert(0, {
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'role': 'user',
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'content': user_content,
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})
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return context_history
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def get_ai_config(self, ai):
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# 勾子，用于取ai 配置
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return {}
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def get_ai_response(self, ai, messages, channel, user_id, message):
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author_id = message.create_uid.partner_id
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answer_id = user_id.partner_id
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# todo: 只有个人配置的群聊才给配置
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param = self.get_ai_config(ai)
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res, usage, is_ai = ai.get_ai(messages, author_id, answer_id, param)
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if res:
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if get_ua_type() != 'wxweb':
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# 处理当微信语音返回时，是直接回文本信息，不需要转换回车
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res = res.replace('\n', '<br/>')
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new_msg = channel.with_user(user_id).message_post(body=res, message_type='comment', subtype_xmlid='mail.mt_comment', parent_id=message.id)
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if usage:
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if ai.provider == 'ali':
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prompt_tokens = usage['input_tokens']
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completion_tokens = usage['output_tokens']
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total_tokens = usage['input_tokens'] + usage['output_tokens']
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else:
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prompt_tokens = usage['prompt_tokens']
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completion_tokens = usage['completion_tokens']
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total_tokens = usage['total_tokens']
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new_msg.write({
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'human_prompt_tokens': prompt_tokens,
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'ai_completion_tokens': completion_tokens,
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'cost_tokens': total_tokens,
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})
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def _notify_thread(self, message, msg_vals=False, **kwargs):
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rdata = super(Channel, self)._notify_thread(message, msg_vals=msg_vals, **kwargs)
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# print(f'rdata:{rdata}')
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answer_id = self.env['res.partner']
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user_id = self.env['res.users']
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author_id = msg_vals.get('author_id')
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ai = self.env['ai.robot'].sudo()
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channel = self.env['mail.channel']
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channel_type = self.channel_type
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messages = []
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# 不处理 一般notify，但处理欢迎
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if '<div class="o_mail_notification' in message.body and message.body != _('<div class="o_mail_notification">joined the channel</div>'):
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return rdata
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if 'o_odoobot_command' in message.body:
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return rdata
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if channel_type == 'chat':
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channel_partner_ids = self.channel_partner_ids
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answer_id = channel_partner_ids - message.author_id
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user_id = answer_id.mapped('user_ids').sudo().filtered(lambda r: r.gpt_id)[:1]
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if user_id and answer_id.gpt_id:
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gpt_policy = user_id.gpt_policy
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gpt_wl_partners = user_id.gpt_wl_partners
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is_allow = message.author_id.id in gpt_wl_partners.ids
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if gpt_policy == 'all' or (gpt_policy == 'limit' and is_allow):
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ai = answer_id.sudo().gpt_id
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elif channel_type in ['group', 'channel']:
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# partner_ids = @ ids
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partner_ids = list(msg_vals.get('partner_ids'))
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if hasattr(self, 'ai_partner_id') and self.ai_partner_id:
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# 当有主id时，使用主id
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if self.ai_partner_id.id in partner_ids:
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partner_ids = [self.ai_partner_id.id]
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if partner_ids:
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# 常规群聊 @
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partners = self.env['res.partner'].search([('id', 'in', partner_ids)])
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# user_id = user, who has binded gpt robot
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user_id = partners.mapped('user_ids').sudo().filtered(lambda r: r.gpt_id)[:1]
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elif message.body == _('<div class="o_mail_notification">joined the channel</div>'):
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# 欢迎的情况
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partners = self.channel_partner_ids.sudo().filtered(lambda r: r.gpt_id)[:1]
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user_id = partners.mapped('user_ids')[:1]
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elif self.member_count == 2:
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# 处理独聊频道
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if hasattr(self, 'is_private') and not self.is_private:
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# 2个人的非私有频道不处理
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pass
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else:
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partners = self.channel_partner_ids.sudo().filtered(lambda r: r.gpt_id and r != message.author_id)[:1]
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user_id = partners.mapped('user_ids')[:1]
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elif not message.author_id.gpt_id:
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# 没有@时，默认第一个robot
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# robot = self.env.ref('app_chatgpt.chatgpt_robot')
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# 临时用azure
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if hasattr(self, 'ai_partner_id') and self.ai_partner_id:
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# 当有主id时，使用主id
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user_id = self.ai_partner_id.mapped('user_ids')[:1]
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else:
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# 使用群里的第一个robot
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partners = self.channel_partner_ids.sudo().filtered(lambda r: r.gpt_id)[:1]
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user_id = partners.mapped('user_ids')[:1]
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if user_id:
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ai = user_id.sudo().gpt_id
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# 此处理不判断，将此处逻辑迁移至 get_ai_pre， 非ai回复的直接内容注意设置为 is_ai=false
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# gpt_policy = user_id.gpt_policy
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# gpt_wl_partners = user_id.gpt_wl_partners
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# is_allow = message.author_id.id in gpt_wl_partners.ids
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# answer_id = user_id.partner_id
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# if gpt_policy == 'all' or (gpt_policy == 'limit' and is_allow):
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# ai = user_id.sudo().gpt_id
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# elif user_id.gpt_id and not is_allow:
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# # 暂时有限用户的Ai
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# raise UserError(_('此Ai暂时未开放，请联系管理员。'))
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if hasattr(ai, 'is_translator') and ai.is_translator:
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return rdata
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chatgpt_channel_id = self.env.ref('app_chatgpt.channel_chatgpt')
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if message.body == _('<div class="o_mail_notification">joined the channel</div>'):
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msg = _("Please warmly welcome our new partner %s and send him the best wishes.") % message.author_id.name
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else:
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# 不能用 preview， 如果用 : 提示词则 preview信息丢失
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plaintext_ct = tools.html_to_inner_content(message.body)
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msg = plaintext_ct.replace('@%s' % answer_id.name, '').lstrip()
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if not msg:
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return rdata
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if self._context.get('app_ai_sync_config') and self._context.get('app_ai_sync_config') in ['sync', 'async']:
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sync_config = self._context.get('app_ai_sync_config')
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else:
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sync_config = self.env['ir.config_parameter'].sudo().get_param('app_chatgpt.openai_sync_config')
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# api_key = self.env['ir.config_parameter'].sudo().get_param('app_chatgpt.openapi_api_key')
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# ai处理，不要自问自答
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if ai and answer_id != message.author_id:
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api_key = ai.openapi_api_key
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if not api_key:
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_logger.warning(_("ChatGPT Robot【%s】have not set open api key."))
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return rdata
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try:
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openapi_context_timeout = int(self.env['ir.config_parameter'].sudo().get_param('app_chatgpt.openapi_context_timeout')) or 60
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except:
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openapi_context_timeout = 60
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openai.api_key = api_key
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# 非4版本，取0次。其它取3 次历史
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chat_count = 3
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if '4' in ai.ai_model or '4' in ai.name:
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chat_count = 1
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if hasattr(self, 'chat_count'):
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if self.chat_count > 0:
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chat_count = 1
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else:
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chat_count = chat_count
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if author_id != answer_id.id and self.channel_type == 'chat':
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# 私聊
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_logger.info(f'私聊:author_id:{author_id},partner_chatgpt.id:{answer_id.id}')
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channel = self.env[msg_vals.get('model')].browse(msg_vals.get('res_id'))
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elif author_id != answer_id.id and msg_vals.get('model', '') == 'mail.channel' and msg_vals.get('res_id', 0) == chatgpt_channel_id.id:
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# todo: 公开的群聊，当前只开1个，后续更多
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_logger.info(f'频道群聊:author_id:{author_id},partner_chatgpt.id:{answer_id.id}')
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channel = chatgpt_channel_id
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elif author_id != answer_id.id and msg_vals.get('model', '') == 'mail.channel' and self.channel_type in ['group', 'channel']:
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# 高级用户自建的话题
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channel = self.env[msg_vals.get('model')].browse(msg_vals.get('res_id'))
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if hasattr(channel, 'is_private') and channel.description:
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messages.append({"role": "system", "content": channel.description})
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try:
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c_history = self.get_openai_context(channel.id, author_id, answer_id, openapi_context_timeout, chat_count)
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if c_history:
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messages += c_history
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messages.append({"role": "user", "content": msg})
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msg_len = sum(len(str(m)) for m in messages)
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# 接口最大接收 8430 Token
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if msg_len * 2 > ai.max_send_char:
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messages = []
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if hasattr(channel, 'is_private') and channel.description:
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messages.append({"role": "system", "content": channel.description})
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messages.append({"role": "user", "content": msg})
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msg_len = sum(len(str(m)) for m in messages)
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if msg_len * 2 > ai.max_send_char:
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new_msg = channel.with_user(user_id).message_post(body=_('您所发送的提示词已超长。'), message_type='comment',
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subtype_xmlid='mail.mt_comment',
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parent_id=message.id)
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# if msg_len * 2 >= 8000:
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# messages = [{"role": "user", "content": msg}]
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if sync_config == 'sync':
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self.get_ai_response(ai, messages, channel, user_id, message)
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else:
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self.with_delay().get_ai_response(ai, messages, channel, user_id, message)
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except Exception as e:
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raise UserError(_(e))
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return rdata
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def _message_post_after_hook(self, message, msg_vals):
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if message.author_id.gpt_id:
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if msg_vals['body'] not in [_('Response Timeout, please speak again.'), _('温馨提示：您发送的内容含有敏感词，请修改内容后再向我发送。'),
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_('此Ai暂时未开放，请联系管理员。'), _('您所发送的提示词已超长。')]:
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message.is_ai = True
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return super(Channel, self)._message_post_after_hook(message, msg_vals)
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@api.model
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def _get_my_last_cid(self):
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# 获取当前用户最后一次进入的channel，返回该channel的id
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# todo: 优化，每次聊天进入时就 write
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user = self.env.user
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msgs = self.env['mail.message'].sudo().search([
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('model', '=', 'mail.channel'),
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('author_id', '=', user.partner_id.id),
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], limit=3, order='id desc')
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c_id = 0
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c = self
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for m in msgs:
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c = self.browse(m.res_id)
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if c.is_member:
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c_id = c.id
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break
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if not c_id:
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c = self.env.ref('app_chatgpt.channel_chatgpt', raise_if_not_found=False)
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c_id = c.id or False
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if c and not c.is_member:
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c.sudo().add_members([user.partner_id.id])
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return c_id
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@api.onchange('ai_partner_id')
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def _onchange_ai_partner_id(self):
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if self.ai_partner_id and self.ai_partner_id.image_1920:
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self.image_128 = self.ai_partner_id.avatar_128
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