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chore: add calc_tokens method on session

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lanvent
2023-04-13 20:06:33 +08:00
parent 9cef559a05
commit 2989249e4b
5 changed files with 31 additions and 24 deletions
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28
bot/openai/open_ai_bot.py
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@@ -42,11 +42,9 @@ class OpenAIBot(Bot, OpenAIImage):
reply = Reply(ReplyType.INFO, '所有人记忆已清除')
else:
session = self.sessions.session_query(query, session_id)
new_query = str(session)
logger.debug("[OPEN_AI] session query={}".format(new_query))
total_tokens, completion_tokens, reply_content = self.reply_text(new_query, session_id, 0)
logger.debug("[OPEN_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(new_query, session_id, reply_content, completion_tokens))
result = self.reply_text(session)
total_tokens, completion_tokens, reply_content = result['total_tokens'], result['completion_tokens'], result['content']
logger.debug("[OPEN_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(str(session), session_id, reply_content, completion_tokens))
if total_tokens == 0 :
reply = Reply(ReplyType.ERROR, reply_content)
@@ -63,11 +61,11 @@ class OpenAIBot(Bot, OpenAIImage):
reply = Reply(ReplyType.ERROR, retstring)
return reply
def reply_text(self, query, session_id, retry_count=0):
def reply_text(self, session:OpenAISession, retry_count=0):
try:
response = openai.Completion.create(
model= conf().get("model") or "text-davinci-003", # 对话模型的名称
prompt=query,
prompt=str(session),
temperature=0.9, # 值在[0,1]之间，越大表示回复越具有不确定性
max_tokens=1200, # 回复最大的字符数
top_p=1,
@@ -79,31 +77,33 @@ class OpenAIBot(Bot, OpenAIImage):
total_tokens = response["usage"]["total_tokens"]
completion_tokens = response["usage"]["completion_tokens"]
logger.info("[OPEN_AI] reply={}".format(res_content))
return total_tokens, completion_tokens, res_content
return {"total_tokens": total_tokens,
"completion_tokens": completion_tokens,
"content": res_content}
except Exception as e:
need_retry = retry_count < 2
result = [0,0,"我现在有点累了，等会再来吧"]
result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
if isinstance(e, openai.error.RateLimitError):
logger.warn("[OPEN_AI] RateLimitError: {}".format(e))
result[2] = "提问太快啦，请休息一下再问我吧"
result['content'] = "提问太快啦，请休息一下再问我吧"
if need_retry:
time.sleep(5)
elif isinstance(e, openai.error.Timeout):
logger.warn("[OPEN_AI] Timeout: {}".format(e))
result[2] = "我没有收到你的消息"
result['content'] = "我没有收到你的消息"
if need_retry:
time.sleep(5)
elif isinstance(e, openai.error.APIConnectionError):
logger.warn("[OPEN_AI] APIConnectionError: {}".format(e))
need_retry = False
result[2] = "我连接不到你的网络"
result['content'] = "我连接不到你的网络"
else:
logger.warn("[OPEN_AI] Exception: {}".format(e))
need_retry = False
self.sessions.clear_session(session_id)
self.sessions.clear_session(session.session_id)
if need_retry:
logger.warn("[OPEN_AI] 第{}次重试".format(retry_count+1))
return self.reply_text(query, session_id, retry_count+1)
return self.reply_text(session, retry_count+1)
else:
return result