|
|
@@ -10,31 +10,48 @@ import broadscope_bailian |
|
|
|
from broadscope_bailian import ChatQaMessage |
|
|
|
|
|
|
|
from bot.bot import Bot |
|
|
|
from bot.baidu.baidu_wenxin_session import BaiduWenxinSession |
|
|
|
from bot.ali.ali_qwen_session import AliQwenSession |
|
|
|
from bot.session_manager import SessionManager |
|
|
|
from bridge.context import ContextType |
|
|
|
from bridge.reply import Reply, ReplyType |
|
|
|
from common.log import logger |
|
|
|
from common import const |
|
|
|
from config import conf, load_config |
|
|
|
|
|
|
|
class TongyiQwenBot(Bot): |
|
|
|
class AliQwenBot(Bot): |
|
|
|
def __init__(self): |
|
|
|
super().__init__() |
|
|
|
self.access_key_id = conf().get("qwen_access_key_id") |
|
|
|
self.access_key_secret = conf().get("qwen_access_key_secret") |
|
|
|
self.agent_key = conf().get("qwen_agent_key") |
|
|
|
self.app_id = conf().get("qwen_app_id") |
|
|
|
self.node_id = conf().get("qwen_node_id") or "" |
|
|
|
self.api_key_client = broadscope_bailian.AccessTokenClient(access_key_id=self.access_key_id, access_key_secret=self.access_key_secret) |
|
|
|
self.api_key_expired_time = self.set_api_key() |
|
|
|
self.sessions = SessionManager(BaiduWenxinSession, model=conf().get("model") or "qwen") |
|
|
|
self.temperature = conf().get("temperature", 0.2) # 值在[0,1]之间,越大表示回复越具有不确定性 |
|
|
|
self.top_p = conf().get("top_p", 1) |
|
|
|
self.sessions = SessionManager(AliQwenSession, model=conf().get("model", const.QWEN)) |
|
|
|
|
|
|
|
def api_key_client(self): |
|
|
|
return broadscope_bailian.AccessTokenClient(access_key_id=self.access_key_id(), access_key_secret=self.access_key_secret()) |
|
|
|
|
|
|
|
def access_key_id(self): |
|
|
|
return conf().get("qwen_access_key_id") |
|
|
|
|
|
|
|
def access_key_secret(self): |
|
|
|
return conf().get("qwen_access_key_secret") |
|
|
|
|
|
|
|
def agent_key(self): |
|
|
|
return conf().get("qwen_agent_key") |
|
|
|
|
|
|
|
def app_id(self): |
|
|
|
return conf().get("qwen_app_id") |
|
|
|
|
|
|
|
def node_id(self): |
|
|
|
return conf().get("qwen_node_id", "") |
|
|
|
|
|
|
|
def temperature(self): |
|
|
|
return conf().get("temperature", 0.2 ) |
|
|
|
|
|
|
|
def top_p(self): |
|
|
|
return conf().get("top_p", 1) |
|
|
|
|
|
|
|
def reply(self, query, context=None): |
|
|
|
# acquire reply content |
|
|
|
if context.type == ContextType.TEXT: |
|
|
|
logger.info("[TONGYI] query={}".format(query)) |
|
|
|
logger.info("[QWEN] query={}".format(query)) |
|
|
|
|
|
|
|
session_id = context["session_id"] |
|
|
|
reply = None |
|
|
@@ -51,11 +68,11 @@ class TongyiQwenBot(Bot): |
|
|
|
if reply: |
|
|
|
return reply |
|
|
|
session = self.sessions.session_query(query, session_id) |
|
|
|
logger.debug("[TONGYI] session query={}".format(session.messages)) |
|
|
|
logger.debug("[QWEN] session query={}".format(session.messages)) |
|
|
|
|
|
|
|
reply_content = self.reply_text(session) |
|
|
|
logger.debug( |
|
|
|
"[TONGYI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format( |
|
|
|
"[QWEN] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format( |
|
|
|
session.messages, |
|
|
|
session_id, |
|
|
|
reply_content["content"], |
|
|
@@ -69,14 +86,14 @@ class TongyiQwenBot(Bot): |
|
|
|
reply = Reply(ReplyType.TEXT, reply_content["content"]) |
|
|
|
else: |
|
|
|
reply = Reply(ReplyType.ERROR, reply_content["content"]) |
|
|
|
logger.debug("[TONGYI] reply {} used 0 tokens.".format(reply_content)) |
|
|
|
logger.debug("[QWEN] reply {} used 0 tokens.".format(reply_content)) |
|
|
|
return reply |
|
|
|
|
|
|
|
else: |
|
|
|
reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type)) |
|
|
|
return reply |
|
|
|
|
|
|
|
def reply_text(self, session: BaiduWenxinSession, retry_count=0) -> dict: |
|
|
|
def reply_text(self, session: AliQwenSession, retry_count=0) -> dict: |
|
|
|
""" |
|
|
|
call bailian's ChatCompletion to get the answer |
|
|
|
:param session: a conversation session |
|
|
@@ -86,9 +103,9 @@ class TongyiQwenBot(Bot): |
|
|
|
try: |
|
|
|
prompt, history = self.convert_messages_format(session.messages) |
|
|
|
self.update_api_key_if_expired() |
|
|
|
# NOTE 阿里百炼的call()函数参数比较奇怪, top_k参数表示top_p, top_p参数表示temperature, 可以参考文档 https://help.aliyun.com/document_detail/2587502.htm |
|
|
|
response = broadscope_bailian.Completions().call(app_id=self.app_id, prompt=prompt, history=history, top_k=self.top_p, top_p=self.temperature) |
|
|
|
completion_content = self.get_completion_content(response, self.node_id) |
|
|
|
# NOTE 阿里百炼的call()函数未提供temperature参数,考虑到temperature和top_p参数作用相同,取两者较小的值作为top_p参数传入,详情见文档 https://help.aliyun.com/document_detail/2587502.htm |
|
|
|
response = broadscope_bailian.Completions().call(app_id=self.app_id(), prompt=prompt, history=history, top_p=min(self.temperature(), self.top_p())) |
|
|
|
completion_content = self.get_completion_content(response, self.node_id()) |
|
|
|
completion_tokens, total_tokens = self.calc_tokens(session.messages, completion_content) |
|
|
|
return { |
|
|
|
"total_tokens": total_tokens, |
|
|
@@ -99,39 +116,40 @@ class TongyiQwenBot(Bot): |
|
|
|
need_retry = retry_count < 2 |
|
|
|
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("[TONGYI] RateLimitError: {}".format(e)) |
|
|
|
logger.warn("[QWEN] RateLimitError: {}".format(e)) |
|
|
|
result["content"] = "提问太快啦,请休息一下再问我吧" |
|
|
|
if need_retry: |
|
|
|
time.sleep(20) |
|
|
|
elif isinstance(e, openai.error.Timeout): |
|
|
|
logger.warn("[TONGYI] Timeout: {}".format(e)) |
|
|
|
logger.warn("[QWEN] Timeout: {}".format(e)) |
|
|
|
result["content"] = "我没有收到你的消息" |
|
|
|
if need_retry: |
|
|
|
time.sleep(5) |
|
|
|
elif isinstance(e, openai.error.APIError): |
|
|
|
logger.warn("[TONGYI] Bad Gateway: {}".format(e)) |
|
|
|
logger.warn("[QWEN] Bad Gateway: {}".format(e)) |
|
|
|
result["content"] = "请再问我一次" |
|
|
|
if need_retry: |
|
|
|
time.sleep(10) |
|
|
|
elif isinstance(e, openai.error.APIConnectionError): |
|
|
|
logger.warn("[TONGYI] APIConnectionError: {}".format(e)) |
|
|
|
logger.warn("[QWEN] APIConnectionError: {}".format(e)) |
|
|
|
need_retry = False |
|
|
|
result["content"] = "我连接不到你的网络" |
|
|
|
else: |
|
|
|
logger.exception("[TONGYI] Exception: {}".format(e)) |
|
|
|
logger.exception("[QWEN] Exception: {}".format(e)) |
|
|
|
need_retry = False |
|
|
|
self.sessions.clear_session(session.session_id) |
|
|
|
|
|
|
|
if need_retry: |
|
|
|
logger.warn("[TONGYI] 第{}次重试".format(retry_count + 1)) |
|
|
|
logger.warn("[QWEN] 第{}次重试".format(retry_count + 1)) |
|
|
|
return self.reply_text(session, retry_count + 1) |
|
|
|
else: |
|
|
|
return result |
|
|
|
|
|
|
|
def set_api_key(self): |
|
|
|
api_key, expired_time = self.api_key_client.create_token(agent_key=self.agent_key) |
|
|
|
api_key, expired_time = self.api_key_client().create_token(agent_key=self.agent_key()) |
|
|
|
broadscope_bailian.api_key = api_key |
|
|
|
return expired_time |
|
|
|
|
|
|
|
def update_api_key_if_expired(self): |
|
|
|
if time.time() > self.api_key_expired_time: |
|
|
|
self.api_key_expired_time = self.set_api_key() |
|
|
@@ -140,6 +158,7 @@ class TongyiQwenBot(Bot): |
|
|
|
history = [] |
|
|
|
user_content = '' |
|
|
|
assistant_content = '' |
|
|
|
system_content = '' |
|
|
|
for message in messages: |
|
|
|
role = message.get('role') |
|
|
|
if role == 'user': |
|
|
@@ -149,11 +168,21 @@ class TongyiQwenBot(Bot): |
|
|
|
history.append(ChatQaMessage(user_content, assistant_content)) |
|
|
|
user_content = '' |
|
|
|
assistant_content = '' |
|
|
|
elif role =='system': |
|
|
|
system_content += message.get('content') |
|
|
|
if user_content == '': |
|
|
|
raise Exception('no user message') |
|
|
|
if system_content != '': |
|
|
|
# NOTE 模拟系统消息,测试发现人格描述以"你需要扮演ChatGPT"开头能够起作用,而以"你是ChatGPT"开头模型会直接否认 |
|
|
|
system_qa = ChatQaMessage(system_content, '好的,我会严格按照你的设定回答问题') |
|
|
|
history.insert(0, system_qa) |
|
|
|
logger.debug("[QWEN] converted qa messages: {}".format([item.to_dict() for item in history])) |
|
|
|
logger.debug("[QWEN] user content as prompt: {}".format(user_content)) |
|
|
|
return user_content, history |
|
|
|
|
|
|
|
def get_completion_content(self, response, node_id): |
|
|
|
if not response['Success']: |
|
|
|
return f"[ERROR]\n{response['Code']}:{response['Message']}" |
|
|
|
text = response['Data']['Text'] |
|
|
|
if node_id == '': |
|
|
|
return text |