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fix: handle RateLimitError #50 #51 #54

ubuntu 3 năm trước cách đây
mục cha
commit
c7d1e77ae6
2 tập tin đã thay đổi với 31 bổ sung50 xóa
  1. 29 48
      bot/openai/open_ai_bot.py
  2. 2 2
      channel/wechat/wechat_channel.py

+ 29 - 48
bot/openai/open_ai_bot.py

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

+ 2 - 2
channel/wechat/wechat_channel.py

@@ -109,7 +109,7 @@ class WechatChannel(Channel):
                 return
             context = dict()
             context['from_user_id'] = reply_user_id
-            reply_text = super().build_reply_content(query, context).strip()
+            reply_text = super().build_reply_content(query, context)
             if reply_text:
                 self.send(conf().get("single_chat_reply_prefix") + reply_text, reply_user_id)
         except Exception as e:
@@ -144,8 +144,8 @@ class WechatChannel(Channel):
         context = dict()
         context['from_user_id'] = msg['ActualUserName']
         reply_text = super().build_reply_content(query, context)
-        reply_text = '@' + msg['ActualNickName'] + ' ' + reply_text.strip()
         if reply_text:
+            reply_text = '@' + msg['ActualNickName'] + ' ' + reply_text.strip()
             self.send(conf().get("group_chat_reply_prefix", "") + reply_text, msg['User']['UserName'])