mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-03-05 08:06:21 +08:00
feat: support multi-conversation memory #28
This commit is contained in:
@@ -5,6 +5,7 @@ from config import conf
|
||||
from common.log import logger
|
||||
import openai
|
||||
|
||||
user_session = dict()
|
||||
|
||||
# OpenAI对话模型API (可用)
|
||||
class OpenAIBot(Bot):
|
||||
@@ -12,17 +13,26 @@ class OpenAIBot(Bot):
|
||||
openai.api_key = conf().get('open_ai_api_key')
|
||||
|
||||
def reply(self, query, context=None):
|
||||
# auto append question mark
|
||||
query = self.append_question_mark(query)
|
||||
|
||||
# acquire reply content
|
||||
if not context or not context.get('type') or context.get('type') == 'TEXT':
|
||||
return self.reply_text(query)
|
||||
logger.info("[OPEN_AI] query={}".format(query))
|
||||
from_user_id = context['from_user_id']
|
||||
if query == '#清除记忆':
|
||||
Session.clear_session(from_user_id)
|
||||
return '记忆已清除'
|
||||
|
||||
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, 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)
|
||||
|
||||
def reply_text(self, query):
|
||||
logger.info("[OPEN_AI] query={}".format(query))
|
||||
def reply_text(self, query, origin_query):
|
||||
try:
|
||||
response = openai.Completion.create(
|
||||
model="text-davinci-003", # 对话模型的名称
|
||||
@@ -34,7 +44,7 @@ class OpenAIBot(Bot):
|
||||
presence_penalty=0.0, # [-2,2]之间,该值越大则更倾向于产生不同的内容
|
||||
stop=["#"]
|
||||
)
|
||||
res_content = response.choices[0]["text"].strip()
|
||||
res_content = response.choices[0]["text"].strip().rstrip("<|im_end|>")
|
||||
except Exception as e:
|
||||
logger.exception(e)
|
||||
return None
|
||||
@@ -93,3 +103,68 @@ class OpenAIBot(Bot):
|
||||
if query.endswith(symbol):
|
||||
return query
|
||||
return query + "?"
|
||||
|
||||
|
||||
class Session(object):
|
||||
@staticmethod
|
||||
def build_session_query(query, user_id):
|
||||
'''
|
||||
build query with conversation history
|
||||
e.g. Q: xxx
|
||||
A: xxx
|
||||
Q: xxx
|
||||
:param query: query content
|
||||
:param user_id: from user id
|
||||
:return: query content with conversaction
|
||||
'''
|
||||
new_query = ""
|
||||
session = user_session.get(user_id, None)
|
||||
if session:
|
||||
for conversation in session:
|
||||
new_query += "Q: " + conversation["question"] + "\n\n\nA: " + conversation["answer"] + "<|im_end|>\n"
|
||||
new_query += "Q: " + query + "\nA: "
|
||||
return new_query
|
||||
else:
|
||||
return "Q: " + query + "\nA: "
|
||||
|
||||
@staticmethod
|
||||
def save_session(query, answer, user_id):
|
||||
max_tokens = conf().get("conversation_max_tokens")
|
||||
if not max_tokens:
|
||||
# default 3000
|
||||
max_tokens = 3000
|
||||
conversation = dict()
|
||||
conversation["question"] = query
|
||||
conversation["answer"] = answer
|
||||
session = user_session.get(user_id)
|
||||
if session:
|
||||
# append conversation
|
||||
session.append(conversation)
|
||||
else:
|
||||
# create session
|
||||
queue = list()
|
||||
queue.append(conversation)
|
||||
user_session[user_id] = queue
|
||||
|
||||
# discard exceed limit conversation
|
||||
Session.discard_exceed_conversation(user_session[user_id], max_tokens)
|
||||
|
||||
|
||||
@staticmethod
|
||||
def discard_exceed_conversation(session, max_tokens):
|
||||
count = 0
|
||||
count_list = list()
|
||||
for i in range(len(session)-1, -1, -1):
|
||||
# count tokens of conversation list
|
||||
history_conv = session[i]
|
||||
count += len(history_conv["question"]) + len(history_conv["answer"])
|
||||
count_list.append(count)
|
||||
|
||||
for c in count_list:
|
||||
if c > max_tokens:
|
||||
# pop first conversation
|
||||
session.pop(0)
|
||||
|
||||
@staticmethod
|
||||
def clear_session(user_id):
|
||||
user_session[user_id] = []
|
||||
|
||||
Reference in New Issue
Block a user