mirror of
https://github.com/guohuadeng/app-odoo.git
synced 2025-02-23 04:11:36 +02:00
fix gpt and 优化外观
This commit is contained in:
@@ -105,26 +105,26 @@ GPT-3 A set of models that can understand and generate natural language
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def action_disconnect(self):
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def action_disconnect(self):
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requests.delete('https://chatgpt.com/v1/disconnect')
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requests.delete('https://chatgpt.com/v1/disconnect')
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def get_ai(self, data, author_id=False, answer_id=False, **kwargs):
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def get_ai(self, data, author_id=False, answer_id=False, param={}):
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# 通用方法
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# 通用方法
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# author_id: 请求的 partner_id 对象
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# author_id: 请求的 partner_id 对象
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# answer_id: 回答的 partner_id 对象
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# answer_id: 回答的 partner_id 对象
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# kwargs,dict 形式的可变参数
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# kwargs,dict 形式的可变参数
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self.ensure_one()
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self.ensure_one()
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# 前置勾子,一般返回 False,有问题返回响应内容
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# 前置勾子,一般返回 False,有问题返回响应内容
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res_pre = self.get_ai_pre(data, author_id, answer_id, **kwargs)
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res_pre = self.get_ai_pre(data, author_id, answer_id, param)
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if res_pre:
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if res_pre:
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return res_pre
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return res_pre
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if hasattr(self, 'get_%s' % self.provider):
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if hasattr(self, 'get_%s' % self.provider):
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res = getattr(self, 'get_%s' % self.provider)(data, author_id, answer_id, **kwargs)
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res = getattr(self, 'get_%s' % self.provider)(data, author_id, answer_id, param)
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else:
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else:
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res = _('No robot provider found')
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res = _('No robot provider found')
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# 后置勾子,返回处理后的内容,用于处理敏感词等
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# 后置勾子,返回处理后的内容,用于处理敏感词等
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res_post = self.get_ai_post(res, author_id, answer_id, **kwargs)
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res_post = self.get_ai_post(res, author_id, answer_id, param)
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return res_post
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return res_post
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def get_ai_pre(self, data, author_id=False, answer_id=False, **kwargs):
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def get_ai_pre(self, data, author_id=False, answer_id=False, param={}):
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if self.is_filtering:
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if self.is_filtering:
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search = WordsSearch()
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search = WordsSearch()
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search.SetKeywords([])
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search.SetKeywords([])
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@@ -135,7 +135,7 @@ GPT-3 A set of models that can understand and generate natural language
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else:
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else:
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return False
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return False
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def get_ai_post(self, res, author_id=False, answer_id=False, **kwargs):
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def get_ai_post(self, res, author_id=False, answer_id=False, param={}):
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if res and author_id and isinstance(res, openai.openai_object.OpenAIObject) or isinstance(res, list):
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if res and author_id and isinstance(res, openai.openai_object.OpenAIObject) or isinstance(res, list):
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usage = json.loads(json.dumps(res['usage']))
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usage = json.loads(json.dumps(res['usage']))
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content = json.loads(json.dumps(res['choices'][0]['message']['content']))
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content = json.loads(json.dumps(res['choices'][0]['message']['content']))
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@@ -213,12 +213,20 @@ GPT-3 A set of models that can understand and generate natural language
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r_text = 'No response.'
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r_text = 'No response.'
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raise UserError(r_text)
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raise UserError(r_text)
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def get_openai(self, data, author_id, answer_id, **kwargs):
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def get_openai(self, data, author_id, answer_id, param={}):
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self.ensure_one()
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self.ensure_one()
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headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.openapi_api_key}"}
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headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.openapi_api_key}"}
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R_TIMEOUT = self.ai_timeout or 120
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R_TIMEOUT = self.ai_timeout or 120
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o_url = self.endpoint or "https://api.openai.com/v1/chat/completions"
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o_url = self.endpoint or "https://api.openai.com/v1/chat/completions"
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# 处理传参,传过来的优先于 robot 默认的
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max_tokens = param.get('max_tokens') or self.max_tokens or 600,
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temperature = param.get('temperature') or self.temperature or 0.9,
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top_p = param.get('top_p') or self.top_p or 0.6,
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frequency_penalty = param.get('frequency_penalty') or self.frequency_penalty or 0.5,
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presence_penalty = param.get('presence_penalty') or self.presence_penalty or 0.5,
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# request_timeout = param.get('request_timeout') or self.ai_timeout or 120,
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if self.stop:
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if self.stop:
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stop = self.stop.split(',')
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stop = self.stop.split(',')
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else:
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else:
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@@ -234,9 +242,10 @@ GPT-3 A set of models that can understand and generate natural language
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messages = [{"role": "user", "content": data}]
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messages = [{"role": "user", "content": data}]
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# Ai角色设定,如果没设定则再处理
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# Ai角色设定,如果没设定则再处理
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if messages[0].get('role') != 'system':
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if messages[0].get('role') != 'system':
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sys_content = self.get_ai_system(kwargs.get('sys_content'))
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sys_content = self.get_ai_system(param.get('sys_content'))
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if sys_content:
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if sys_content:
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messages.insert(0, sys_content)
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messages.insert(0, sys_content)
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# 暂时不变
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response = openai.ChatCompletion.create(
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response = openai.ChatCompletion.create(
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model=self.ai_model,
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model=self.ai_model,
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messages=messages,
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messages=messages,
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@@ -268,11 +277,11 @@ GPT-3 A set of models that can understand and generate natural language
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"model": self.ai_model,
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"model": self.ai_model,
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"prompt": data,
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"prompt": data,
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"temperature": 0.9,
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"temperature": 0.9,
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"max_tokens": self.max_tokens or 1000,
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"max_tokens": max_tokens,
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"top_p": 1,
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"top_p": 1,
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"frequency_penalty": 0.0,
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"frequency_penalty": 0.0,
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"presence_penalty": 0.6,
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"presence_penalty": 0.6,
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"stop": ["Human:", "AI:"]
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"stop": stop
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}
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}
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response = requests.post(o_url, data=json.dumps(pdata), headers=headers, timeout=R_TIMEOUT)
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response = requests.post(o_url, data=json.dumps(pdata), headers=headers, timeout=R_TIMEOUT)
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res = response.json()
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res = response.json()
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@@ -282,7 +291,7 @@ GPT-3 A set of models that can understand and generate natural language
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return _("Response Timeout, please speak again.")
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return _("Response Timeout, please speak again.")
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def get_azure(self, data, author_id, answer_id, **kwargs):
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def get_azure(self, data, author_id, answer_id, param={}):
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self.ensure_one()
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self.ensure_one()
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# only for azure
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# only for azure
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openai.api_type = self.provider
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openai.api_type = self.provider
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@@ -301,13 +310,21 @@ GPT-3 A set of models that can understand and generate natural language
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messages = data
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messages = data
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else:
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else:
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messages = [{"role": "user", "content": data}]
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messages = [{"role": "user", "content": data}]
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# Ai角色设定
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# 处理传参,传过来的优先于 robot 默认的
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max_tokens = param.get('max_tokens') or self.max_tokens or 600,
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temperature = param.get('temperature') or self.temperature or 0.9,
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top_p = param.get('top_p') or self.top_p or 0.6,
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frequency_penalty = param.get('frequency_penalty') or self.frequency_penalty or 0.5,
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presence_penalty = param.get('presence_penalty') or self.presence_penalty or 0.5,
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# request_timeout = param.get('request_timeout') or self.ai_timeout or 120,
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# Ai角色设定,如果没设定则再处理
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# Ai角色设定,如果没设定则再处理
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if messages[0].role != 'system':
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if messages[0].get('role') != 'system':
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sys_content = self.get_ai_system(kwargs.get('sys_content'))
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sys_content = self.get_ai_system(param.get('sys_content'))
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if sys_content:
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if sys_content:
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messages.insert(0, sys_content)
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messages.insert(0, sys_content)
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# 暂时不变
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response = openai.ChatCompletion.create(
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response = openai.ChatCompletion.create(
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engine=self.engine,
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engine=self.engine,
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messages=messages,
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messages=messages,
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@@ -52,10 +52,16 @@ class Channel(models.Model):
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})
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})
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return context_history
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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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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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author_id = message.create_uid.partner_id
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answer_id = user_id.partner_id
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answer_id = user_id.partner_id
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res = ai.get_ai(messages, author_id, answer_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 = ai.get_ai(messages, author_id, answer_id, param)
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if res:
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if res:
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res = res.replace('\n', '<br/>')
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res = res.replace('\n', '<br/>')
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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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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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@@ -120,7 +126,8 @@ class Channel(models.Model):
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if message.body == _('<div class="o_mail_notification">joined the channel</div>'):
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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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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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else:
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msg = message.preview.replace('@%s' % answer_id.name, '').lstrip()
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# 不能用 preview, 如果用 : 提示词则 preview信息丢失
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msg = message.description.replace('@%s' % answer_id.name, '').lstrip()
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if not msg:
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if not msg:
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return rdata
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return rdata
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@@ -142,7 +149,6 @@ class Channel(models.Model):
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# print('self.channel_type :',self.channel_type)
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# print('self.channel_type :',self.channel_type)
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if ai:
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if ai:
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# 非4版本,取0次。其它取3 次历史
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# 非4版本,取0次。其它取3 次历史
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# todo: channel中只有2个人,1个是ai,1个不是的时候,直接用ai回话,不用处理 @
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chat_count = 0 if '4' in ai.ai_model else 3
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chat_count = 0 if '4' in ai.ai_model else 3
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if author_id != answer_id.id and self.channel_type == 'chat':
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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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# 私聊
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