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formatting: run precommit on all files

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lanvent
2023-04-22 12:01:29 +08:00
parent eaf4e9174f
commit 618c94edb8
40 changed files with 229 additions and 647 deletions
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28
bot/openai/open_ai_bot.py
View File

@@ -28,23 +28,15 @@ class OpenAIBot(Bot, OpenAIImage):
if proxy:
openai.proxy = proxy
self.sessions = SessionManager(
OpenAISession, model=conf().get("model") or "text-davinci-003"
)
self.sessions = SessionManager(OpenAISession, model=conf().get("model") or "text-davinci-003")
self.args = {
"model": conf().get("model") or "text-davinci-003", # 对话模型的名称
"temperature": conf().get("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,
"frequency_penalty": conf().get(
"frequency_penalty", 0.0
), # [-2,2]之间，该值越大则更倾向于产生不同的内容
"presence_penalty": conf().get(
"presence_penalty", 0.0
), # [-2,2]之间，该值越大则更倾向于产生不同的内容
"request_timeout": conf().get(
"request_timeout", None
), # 请求超时时间，openai接口默认设置为600，对于难问题一般需要较长时间
"frequency_penalty": conf().get("frequency_penalty", 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
"presence_penalty": conf().get("presence_penalty", 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
"request_timeout": conf().get("request_timeout", None), # 请求超时时间，openai接口默认设置为600，对于难问题一般需要较长时间
"timeout": conf().get("request_timeout", None), # 重试超时时间，在这个时间内，将会自动重试
"stop": ["\n\n\n"],
}
@@ -71,17 +63,13 @@ class OpenAIBot(Bot, OpenAIImage):
result["content"],
)
logger.debug(
"[OPEN_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
str(session), session_id, reply_content, completion_tokens
)
"[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)
else:
self.sessions.session_reply(
reply_content, session_id, total_tokens
)
self.sessions.session_reply(reply_content, session_id, total_tokens)
reply = Reply(ReplyType.TEXT, reply_content)
return reply
elif context.type == ContextType.IMAGE_CREATE:
@@ -96,9 +84,7 @@ class OpenAIBot(Bot, OpenAIImage):
def reply_text(self, session: OpenAISession, retry_count=0):
try:
response = openai.Completion.create(prompt=str(session), **self.args)
res_content = (
response.choices[0]["text"].strip().replace("<|endoftext|>", "")
)
res_content = response.choices[0]["text"].strip().replace("<|endoftext|>", "")
total_tokens = response["usage"]["total_tokens"]
completion_tokens = response["usage"]["completion_tokens"]
logger.info("[OPEN_AI] reply={}".format(res_content))

10
bot/openai/open_ai_image.py
View File

@@ -23,9 +23,7 @@ class OpenAIImage(object):
response = openai.Image.create(
prompt=query, # 图片描述
n=1, # 每次生成图片的数量
size=conf().get(
"image_create_size", "256x256"
), # 图片大小,可选有 256x256, 512x512, 1024x1024
size=conf().get("image_create_size", "256x256"), # 图片大小,可选有 256x256, 512x512, 1024x1024
)
image_url = response["data"][0]["url"]
logger.info("[OPEN_AI] image_url={}".format(image_url))
@@ -34,11 +32,7 @@ class OpenAIImage(object):
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
)
)
logger.warn("[OPEN_AI] ImgCreate RateLimit exceed, 第{}次重试".format(retry_count + 1))
return self.create_img(query, retry_count + 1)
else:
return False, "提问太快啦，请休息一下再问我吧"

16
bot/openai/open_ai_session.py
View File

@@ -36,9 +36,7 @@ class OpenAISession(Session):
precise = False
if cur_tokens is None:
raise e
logger.debug(
"Exception when counting tokens precisely for query: {}".format(e)
)
logger.debug("Exception when counting tokens precisely for query: {}".format(e))
while cur_tokens > max_tokens:
if len(self.messages) > 1:
self.messages.pop(0)
@@ -50,18 +48,10 @@ class OpenAISession(Session):
cur_tokens = len(str(self))
break
elif len(self.messages) == 1 and self.messages[0]["role"] == "user":
logger.warn(
"user question exceed max_tokens. total_tokens={}".format(
cur_tokens
)
)
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.messages)
)
)
logger.debug("max_tokens={}, total_tokens={}, len(conversation)={}".format(max_tokens, cur_tokens, len(self.messages)))
break
if precise:
cur_tokens = self.calc_tokens()