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feat: merge chat related sessions

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This commit is contained in:
lanvent
2023-03-29 12:25:31 +08:00
parent 432b39a9c4
commit d62b7d1a99
3 changed files with 21 additions and 40 deletions
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38
bot/openai/open_ai_session.py
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@@ -3,36 +3,26 @@ from common.log import logger
class OpenAISession(Session):
def __init__(self, session_id, system_prompt=None, model= "text-davinci-003"):
super().__init__(session_id, system_prompt)
self.conversation = []
self.model = model
self.reset()
def reset(self):
pass
def add_query(self, query):
question = {'type': 'question', 'content': query}
self.conversation.append(question)
def add_reply(self, reply):
answer = {'type': 'answer', 'content': reply}
self.conversation.append(answer)
def __str__(self):
# 构造对话模型的输入
'''
e.g. Q: xxx
A: xxx
Q: xxx
'''
prompt = self.system_prompt
if prompt:
prompt += "<|endoftext|>\n\n\n"
for item in self.conversation:
if item['type'] == 'question':
prompt = ""
for item in self.messages:
if item['role'] == 'system':
prompt += item['content'] + "<|endoftext|>\n\n\n"
elif item['role'] == 'user':
prompt += "Q: " + item['content'] + "\n"
elif item['type'] == 'answer':
elif item['role'] == 'assistant':
prompt += "\n\nA: " + item['content'] + "<|endoftext|>\n"
if len(self.conversation) > 0 and self.conversation[-1]['type'] == 'question':
if len(self.messages) > 0 and self.messages[-1]['role'] == 'user':
prompt += "A: "
return prompt
@@ -46,20 +36,20 @@ class OpenAISession(Session):
raise e
logger.debug("Exception when counting tokens precisely for query: {}".format(e))
while cur_tokens > max_tokens:
if len(self.conversation) > 1:
self.conversation.pop(0)
elif len(self.conversation) == 1 and self.conversation[0]["type"] == "answer":
self.conversation.pop(0)
if len(self.messages) > 1:
self.messages.pop(0)
elif len(self.messages) == 1 and self.messages[0]["role"] == "assistant":
self.messages.pop(0)
if precise:
cur_tokens = num_tokens_from_string(str(self), self.model)
else:
cur_tokens = len(str(self))
break
elif len(self.conversation) == 1 and self.conversation[0]["type"] == "question":
elif len(self.messages) == 1 and self.messages[0]["role"] == "user":
logger.warn("user question exceed max_tokens. total_tokens={}".format(cur_tokens))
break
else:
logger.debug("max_tokens={}, total_tokens={}, len(conversation)={}".format(max_tokens, cur_tokens, len(self.conversation)))
logger.debug("max_tokens={}, total_tokens={}, len(conversation)={}".format(max_tokens, cur_tokens, len(self.messages)))
break
if precise:
cur_tokens = num_tokens_from_string(str(self), self.model)