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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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8
bot/chatgpt/chat_gpt_bot.py
View File

@@ -58,7 +58,7 @@ class ChatGPTBot(Bot,OpenAIImage):
# # reply in stream # # reply in stream
# return self.reply_text_stream(query, new_query, session_id) # return self.reply_text_stream(query, new_query, session_id)
reply_content = self.reply_text(session, session_id, api_key, 0) reply_content = self.reply_text(session, api_key)
logger.debug("[CHATGPT] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(session.messages, session_id, reply_content["content"], reply_content["completion_tokens"])) logger.debug("[CHATGPT] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(session.messages, session_id, reply_content["content"], reply_content["completion_tokens"]))
if reply_content['completion_tokens'] == 0 and len(reply_content['content']) > 0: if reply_content['completion_tokens'] == 0 and len(reply_content['content']) > 0:
reply = Reply(ReplyType.ERROR, reply_content['content']) reply = Reply(ReplyType.ERROR, reply_content['content'])
@@ -94,7 +94,7 @@ class ChatGPTBot(Bot,OpenAIImage):
"timeout": conf().get('request_timeout', None), #重试超时时间，在这个时间内，将会自动重试 "timeout": conf().get('request_timeout', None), #重试超时时间，在这个时间内，将会自动重试
} }
def reply_text(self, session:ChatGPTSession, session_id, api_key, retry_count=0) -> dict: def reply_text(self, session:ChatGPTSession, api_key=None, retry_count=0) -> dict:
''' '''
call openai's ChatCompletion to get the answer call openai's ChatCompletion to get the answer
:param session: a conversation session :param session: a conversation session
@@ -133,11 +133,11 @@ class ChatGPTBot(Bot,OpenAIImage):
else: else:
logger.warn("[CHATGPT] Exception: {}".format(e)) logger.warn("[CHATGPT] Exception: {}".format(e))
need_retry = False need_retry = False
self.sessions.clear_session(session_id) self.sessions.clear_session(session.session_id)
if need_retry: if need_retry:
logger.warn("[CHATGPT] 第{}次重试".format(retry_count+1)) logger.warn("[CHATGPT] 第{}次重试".format(retry_count+1))
return self.reply_text(session, session_id, api_key, retry_count+1) return self.reply_text(session, api_key, retry_count+1)
else: else:
return result return result

9
bot/chatgpt/chat_gpt_session.py
View File

@@ -17,7 +17,7 @@ class ChatGPTSession(Session):
def discard_exceeding(self, max_tokens, cur_tokens= None): def discard_exceeding(self, max_tokens, cur_tokens= None):
precise = True precise = True
try: try:
cur_tokens = num_tokens_from_messages(self.messages, self.model) cur_tokens = self.calc_tokens()
except Exception as e: except Exception as e:
precise = False precise = False
if cur_tokens is None: if cur_tokens is None:
@@ -29,7 +29,7 @@ class ChatGPTSession(Session):
elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant": elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant":
self.messages.pop(1) self.messages.pop(1)
if precise: if precise:
cur_tokens = num_tokens_from_messages(self.messages, self.model) cur_tokens = self.calc_tokens()
else: else:
cur_tokens = cur_tokens - max_tokens cur_tokens = cur_tokens - max_tokens
break break
@@ -40,11 +40,14 @@ class ChatGPTSession(Session):
logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens, len(self.messages))) logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens, len(self.messages)))
break break
if precise: if precise:
cur_tokens = num_tokens_from_messages(self.messages, self.model) cur_tokens = self.calc_tokens()
else: else:
cur_tokens = cur_tokens - max_tokens cur_tokens = cur_tokens - max_tokens
return cur_tokens return cur_tokens
def calc_tokens(self):
return num_tokens_from_messages(self.messages, self.model)
# refer to https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb # refer to https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
def num_tokens_from_messages(messages, model): def num_tokens_from_messages(messages, model):

28
bot/openai/open_ai_bot.py
View File

@@ -42,11 +42,9 @@ class OpenAIBot(Bot, OpenAIImage):
reply = Reply(ReplyType.INFO, '所有人记忆已清除') reply = Reply(ReplyType.INFO, '所有人记忆已清除')
else: else:
session = self.sessions.session_query(query, session_id) session = self.sessions.session_query(query, session_id)
new_query = str(session) result = self.reply_text(session)
logger.debug("[OPEN_AI] session query={}".format(new_query)) 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))
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))
if total_tokens == 0 : if total_tokens == 0 :
reply = Reply(ReplyType.ERROR, reply_content) reply = Reply(ReplyType.ERROR, reply_content)
@@ -63,11 +61,11 @@ class OpenAIBot(Bot, OpenAIImage):
reply = Reply(ReplyType.ERROR, retstring) reply = Reply(ReplyType.ERROR, retstring)
return reply return reply
def reply_text(self, query, session_id, retry_count=0): def reply_text(self, session:OpenAISession, retry_count=0):
try: try:
response = openai.Completion.create( response = openai.Completion.create(
model= conf().get("model") or "text-davinci-003", # 对话模型的名称 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 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 max_tokens=1200, # 回复最大的字符数
top_p=1, top_p=1,
@@ -79,31 +77,33 @@ class OpenAIBot(Bot, OpenAIImage):
total_tokens = response["usage"]["total_tokens"] total_tokens = response["usage"]["total_tokens"]
completion_tokens = response["usage"]["completion_tokens"] completion_tokens = response["usage"]["completion_tokens"]
logger.info("[OPEN_AI] reply={}".format(res_content)) 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: except Exception as e:
need_retry = retry_count < 2 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): if isinstance(e, openai.error.RateLimitError):
logger.warn("[OPEN_AI] RateLimitError: {}".format(e)) 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: if need_retry:
time.sleep(5) time.sleep(5)
elif isinstance(e, openai.error.Timeout): elif isinstance(e, openai.error.Timeout):
logger.warn("[OPEN_AI] Timeout: {}".format(e)) 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: if need_retry:
time.sleep(5) time.sleep(5)
elif isinstance(e, openai.error.APIConnectionError): elif isinstance(e, openai.error.APIConnectionError):
logger.warn("[OPEN_AI] APIConnectionError: {}".format(e)) logger.warn("[OPEN_AI] APIConnectionError: {}".format(e))
need_retry = False 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: else:
logger.warn("[OPEN_AI] Exception: {}".format(e)) logger.warn("[OPEN_AI] Exception: {}".format(e))
need_retry = False need_retry = False
self.sessions.clear_session(session_id) self.sessions.clear_session(session.session_id)
if need_retry: if need_retry:
logger.warn("[OPEN_AI] 第{}次重试".format(retry_count+1)) 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: else:
return result return result

8
bot/openai/open_ai_session.py
View File

@@ -29,7 +29,7 @@ class OpenAISession(Session):
def discard_exceeding(self, max_tokens, cur_tokens= None): def discard_exceeding(self, max_tokens, cur_tokens= None):
precise = True precise = True
try: try:
cur_tokens = num_tokens_from_string(str(self), self.model) cur_tokens = self.calc_tokens()
except Exception as e: except Exception as e:
precise = False precise = False
if cur_tokens is None: if cur_tokens is None:
@@ -41,7 +41,7 @@ class OpenAISession(Session):
elif len(self.messages) == 1 and self.messages[0]["role"] == "assistant": elif len(self.messages) == 1 and self.messages[0]["role"] == "assistant":
self.messages.pop(0) self.messages.pop(0)
if precise: if precise:
cur_tokens = num_tokens_from_string(str(self), self.model) cur_tokens = self.calc_tokens()
else: else:
cur_tokens = len(str(self)) cur_tokens = len(str(self))
break break
@@ -52,11 +52,13 @@ class OpenAISession(Session):
logger.debug("max_tokens={}, total_tokens={}, len(conversation)={}".format(max_tokens, cur_tokens, len(self.messages))) logger.debug("max_tokens={}, total_tokens={}, len(conversation)={}".format(max_tokens, cur_tokens, len(self.messages)))
break break
if precise: if precise:
cur_tokens = num_tokens_from_string(str(self), self.model) cur_tokens = self.calc_tokens()
else: else:
cur_tokens = len(str(self)) cur_tokens = len(str(self))
return cur_tokens return cur_tokens
def calc_tokens(self):
return num_tokens_from_string(str(self), self.model)
# refer to https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb # refer to https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
def num_tokens_from_string(string: str, model: str) -> int: def num_tokens_from_string(string: str, model: str) -> int:

2
bot/session_manager.py
View File

@@ -31,6 +31,8 @@ class Session(object):
def discard_exceeding(self, max_tokens=None, cur_tokens=None): def discard_exceeding(self, max_tokens=None, cur_tokens=None):
raise NotImplementedError raise NotImplementedError
def calc_tokens(self):
raise NotImplementedError
class SessionManager(object): class SessionManager(object):