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Merge pull request #56 from zhayujie/fix-ratelimit
fix: handle RateLimitError #50 #54
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@@ -4,7 +4,7 @@ from bot.bot import Bot
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from config import conf
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from common.log import logger
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import openai
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from datetime import date
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import time
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user_session = dict()
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@@ -26,16 +26,16 @@ class OpenAIBot(Bot):
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new_query = Session.build_session_query(query, from_user_id)
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logger.debug("[OPEN_AI] session query={}".format(new_query))
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reply_content = self.reply_text(new_query, from_user_id)
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logger.debug("[OPEN_AI] new_query={}, user={}".format(new_query, from_user_id))
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reply_content = self.reply_text(new_query, from_user_id, 0)
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logger.debug("[OPEN_AI] new_query={}, user={}, reply_cont={}".format(new_query, from_user_id, reply_content))
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if reply_content and query:
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Session.save_session(query, reply_content, from_user_id)
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return reply_content
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elif context.get('type', None) == 'IMAGE_CREATE':
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return self.create_img(query)
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return self.create_img(query, 0)
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def reply_text(self, query, user_id):
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def reply_text(self, query, user_id, retry_count=0):
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try:
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response = openai.Completion.create(
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model="text-davinci-003", # 对话模型的名称
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@@ -48,14 +48,25 @@ class OpenAIBot(Bot):
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stop=["#"]
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)
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res_content = response.choices[0]["text"].strip().rstrip("<|im_end|>")
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logger.info("[OPEN_AI] reply={}".format(res_content))
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return res_content
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except openai.error.RateLimitError as e:
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# rate limit exception
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logger.warn(e)
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if retry_count < 1:
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time.sleep(5)
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logger.warn("[OPEN_AI] RateLimit exceed, 第{}次重试".format(retry_count+1))
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return self.reply_text(query, user_id, retry_count+1)
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else:
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return "提问太快啦,请休息一下再问我吧"
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except Exception as e:
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# unknown exception
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logger.exception(e)
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Session.clear_session(user_id)
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return None
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logger.info("[OPEN_AI] reply={}".format(res_content))
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return res_content
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return "请再问我一次吧"
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def create_img(self, query):
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def create_img(self, query, retry_count=0):
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try:
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logger.info("[OPEN_AI] image_query={}".format(query))
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response = openai.Image.create(
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@@ -65,48 +76,18 @@ class OpenAIBot(Bot):
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)
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image_url = response['data'][0]['url']
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logger.info("[OPEN_AI] image_url={}".format(image_url))
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return image_url
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except openai.error.RateLimitError as e:
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logger.warn(e)
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if retry_count < 1:
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time.sleep(5)
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logger.warn("[OPEN_AI] ImgCreate RateLimit exceed, 第{}次重试".format(retry_count+1))
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return self.reply_text(query, retry_count+1)
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else:
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return "提问太快啦,请休息一下再问我吧"
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except Exception as e:
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logger.exception(e)
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return None
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return image_url
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def edit_img(self, query, src_img):
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try:
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response = openai.Image.create_edit(
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image=open(src_img, 'rb'),
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mask=open('cat-mask.png', 'rb'),
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prompt=query,
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n=1,
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size='512x512'
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)
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image_url = response['data'][0]['url']
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logger.info("[OPEN_AI] image_url={}".format(image_url))
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except Exception as e:
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logger.exception(e)
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return None
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return image_url
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def migration_img(self, query, src_img):
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try:
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response = openai.Image.create_variation(
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image=open(src_img, 'rb'),
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n=1,
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size="512x512"
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)
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image_url = response['data'][0]['url']
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logger.info("[OPEN_AI] image_url={}".format(image_url))
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except Exception as e:
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logger.exception(e)
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return None
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return image_url
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def append_question_mark(self, query):
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end_symbols = [".", "。", "?", "?", "!", "!"]
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for symbol in end_symbols:
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if query.endswith(symbol):
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return query
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return query + "?"
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class Session(object):
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@@ -109,7 +109,7 @@ class WechatChannel(Channel):
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return
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context = dict()
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context['from_user_id'] = reply_user_id
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reply_text = super().build_reply_content(query, context).strip()
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reply_text = super().build_reply_content(query, context)
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if reply_text:
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self.send(conf().get("single_chat_reply_prefix") + reply_text, reply_user_id)
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except Exception as e:
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@@ -144,8 +144,8 @@ class WechatChannel(Channel):
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context = dict()
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context['from_user_id'] = msg['ActualUserName']
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reply_text = super().build_reply_content(query, context)
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reply_text = '@' + msg['ActualNickName'] + ' ' + reply_text.strip()
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if reply_text:
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reply_text = '@' + msg['ActualNickName'] + ' ' + reply_text.strip()
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self.send(conf().get("group_chat_reply_prefix", "") + reply_text, msg['User']['UserName'])
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