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@@ -3,36 +3,26 @@ from common.log import logger
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class OpenAISession(Session):
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def __init__(self, session_id, system_prompt=None, model= "text-davinci-003"):
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super().__init__(session_id, system_prompt)
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- self.conversation = []
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self.model = model
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self.reset()
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-
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- def reset(self):
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- pass
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-
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- def add_query(self, query):
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- question = {'type': 'question', 'content': query}
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- self.conversation.append(question)
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- def add_reply(self, reply):
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- answer = {'type': 'answer', 'content': reply}
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- self.conversation.append(answer)
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def __str__(self):
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+ # 构造对话模型的输入
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'''
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e.g. Q: xxx
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A: xxx
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Q: xxx
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'''
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- prompt = self.system_prompt
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- if prompt:
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- prompt += "<|endoftext|>\n\n\n"
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- for item in self.conversation:
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- if item['type'] == 'question':
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+ prompt = ""
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+ for item in self.messages:
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+ if item['role'] == 'system':
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+ prompt += item['content'] + "<|endoftext|>\n\n\n"
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+ elif item['role'] == 'user':
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prompt += "Q: " + item['content'] + "\n"
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- elif item['type'] == 'answer':
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+ elif item['role'] == 'assistant':
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prompt += "\n\nA: " + item['content'] + "<|endoftext|>\n"
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- if len(self.conversation) > 0 and self.conversation[-1]['type'] == 'question':
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+ if len(self.messages) > 0 and self.messages[-1]['role'] == 'user':
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prompt += "A: "
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return prompt
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@@ -46,20 +36,20 @@ class OpenAISession(Session):
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raise e
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logger.debug("Exception when counting tokens precisely for query: {}".format(e))
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while cur_tokens > max_tokens:
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- if len(self.conversation) > 1:
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- self.conversation.pop(0)
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- elif len(self.conversation) == 1 and self.conversation[0]["type"] == "answer":
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- self.conversation.pop(0)
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+ if len(self.messages) > 1:
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+ self.messages.pop(0)
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+ elif len(self.messages) == 1 and self.messages[0]["role"] == "assistant":
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+ self.messages.pop(0)
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if precise:
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cur_tokens = num_tokens_from_string(str(self), self.model)
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else:
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cur_tokens = len(str(self))
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break
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- elif len(self.conversation) == 1 and self.conversation[0]["type"] == "question":
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+ elif len(self.messages) == 1 and self.messages[0]["role"] == "user":
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logger.warn("user question exceed max_tokens. total_tokens={}".format(cur_tokens))
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break
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else:
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- logger.debug("max_tokens={}, total_tokens={}, len(conversation)={}".format(max_tokens, cur_tokens, len(self.conversation)))
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+ logger.debug("max_tokens={}, total_tokens={}, len(conversation)={}".format(max_tokens, cur_tokens, len(self.messages)))
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break
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if precise:
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cur_tokens = num_tokens_from_string(str(self), self.model)
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