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main.py
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main.py
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import datetime
import json
import re
import shutil
import tempfile
import urllib.parse
import requests
from flask import Flask, render_template, request, session, send_file, make_response
import os
import uuid
from LRU_cache import LRUCache
from log_util import init_logger
import threading
import pickle
import asyncio
import yaml
app = Flask(__name__)
app.config['SECRET_KEY'] = os.urandom(24)
DATA_DIR = "data"
logger = init_logger(file_name=os.path.join(DATA_DIR, "running.log"), stdout=True)
# 适配python3.6
loop = asyncio.get_event_loop()
def asyncio_run(func):
loop.run_until_complete(func)
with open(os.path.join(DATA_DIR, "config.yaml"), "r", encoding="utf-8") as f:
config = yaml.load(f, Loader=yaml.FullLoader)
if 'HTTPS_PROXY' in config:
if os.environ.get('HTTPS_PROXY') is None: # 优先使用环境变量中的代理,若环境变量中没有代理,则使用配置文件中的代理
os.environ['HTTPS_PROXY'] = config['HTTPS_PROXY']
if 'PASSWORD' in config:
PASSWORD = config['PASSWORD']
else:
PASSWORD = "" # 即不使用访问密码
if 'ADMIN_PASSWORD' in config:
ADMIN_PASSWORD = config['ADMIN_PASSWORD']
else:
ADMIN_PASSWORD = ""
PORT = config['PORT']
API_KEY = config['OPENAI_API_KEY']
CHAT_CONTEXT_NUMBER_MAX = config[
'CHAT_CONTEXT_NUMBER_MAX'] # 连续对话模式下的上下文最大数量 n,即开启连续对话模式后,将上传本条消息以及之前你和GPT对话的n-1条消息
USER_SAVE_MAX = config['USER_SAVE_MAX'] # 设置最多存储n个用户,当用户过多时可适当调大
if os.getenv("DEPLOY_ON_RAILWAY") is not None or os.getenv("DEPLOY_ON_ZEABUR"): # 如果是云部署,需要删除代理
os.environ.pop('HTTPS_PROXY', None)
API_KEY = os.getenv("OPENAI_API_KEY", default=API_KEY) # 如果环境变量中设置了OPENAI_API_KEY,则使用环境变量中的OPENAI_API_KEY
PORT = os.getenv("PORT", default=PORT) # 如果环境变量中设置了PORT,则使用环境变量中的PORT
PASSWORD = os.getenv("PASSWORD", default=PASSWORD) # 如果环境变量中设置了PASSWORD,则使用环境变量中的PASSWORD
ADMIN_PASSWORD = os.getenv("ADMIN_PASSWORD", default=ADMIN_PASSWORD) # 如果环境变量中设置了ADMIN_PASSWORD,则使用环境变量中的ADMIN_PASSWORD
if ADMIN_PASSWORD == "":
ADMIN_PASSWORD = PASSWORD # 如果ADMIN_PASSWORD为空,则使用PASSWORD
STREAM_FLAG = True # 是否开启流式推送
USER_DICT_FILE = "all_user_dict_v3.pkl" # 用户信息存储文件(包含版本)
lock = threading.Lock() # 用于线程锁
project_info = "## ChatGPT 网页版 \n" \
" Code From " \
"[ChatGPT-Web](https://github.com/LiangYang666/ChatGPT-Web) \n" \
"发送`帮助`可获取帮助 \n"
def get_response_from_ChatGPT_API(message_context, apikey,
model="gpt-3.5-turbo", temperature=0.9, presence_penalty=0, max_tokens=2000):
"""
从ChatGPT API获取回复
:param message_context: 上下文
:param apikey: API KEY
:param model: 模型
:param temperature: 温度
:param presence_penalty: 惩罚
:param max_tokens: 最大token数量
:return: 回复
"""
if apikey is None:
apikey = API_KEY
header = {"Content-Type": "application/json",
"Authorization": "Bearer " + apikey}
data = {
"model": model,
"messages": message_context,
"temperature": temperature,
"presence_penalty": presence_penalty,
"max_tokens": max_tokens
}
url = "https://api.openai.com/v1/chat/completions"
try:
response = requests.post(url, headers=header, data=json.dumps(data))
response = response.json()
# 判断是否含 choices[0].message.content
if "choices" in response \
and len(response["choices"]) > 0 \
and "message" in response["choices"][0] \
and "content" in response["choices"][0]["message"]:
data = response["choices"][0]["message"]["content"]
else:
data = str(response)
except Exception as e:
logger.error(e)
return str(e)
return data
def get_message_context(message_history, have_chat_context, chat_with_history):
"""
获取上下文
:param message_history:
:param have_chat_context:
:param chat_with_history:
:return:
"""
message_context = []
total = 0
if chat_with_history:
num = min([len(message_history), CHAT_CONTEXT_NUMBER_MAX, have_chat_context])
# 获取所有有效聊天记录
valid_start = 0
valid_num = 0
for i in range(len(message_history) - 1, -1, -1):
message = message_history[i]
if message['role'] in {'assistant', 'user'}:
valid_start = i
valid_num += 1
if valid_num >= num:
break
for i in range(valid_start, len(message_history)):
message = message_history[i]
if message['role'] in {'assistant', 'user'}:
message_context.append(message)
total += len(message['content'])
else:
message_context.append(message_history[-1])
total += len(message_history[-1]['content'])
logger.info(f"len(message_context): {len(message_context)} total: {total}")
return message_context
def handle_messages_get_response(message, apikey, message_history, have_chat_context, chat_with_history):
"""
处理用户发送的消息,获取回复
:param message: 用户发送的消息
:param apikey:
:param message_history: 消息历史
:param have_chat_context: 已发送消息数量上下文(从重置为连续对话开始)
:param chat_with_history: 是否连续对话
"""
message_history.append({"role": "user", "content": message})
message_context = get_message_context(message_history, have_chat_context, chat_with_history)
response = get_response_from_ChatGPT_API(message_context, apikey)
message_history.append({"role": "assistant", "content": response})
return response
def get_response_stream_generate_from_ChatGPT_API(message_context, apikey, message_history,
model="gpt-3.5-turbo", temperature=0.9, presence_penalty=0,
max_tokens=2000):
"""
从ChatGPT API获取回复
:param apikey:
:param message_context: 上下文
:param message_history: 消息历史
:param model: 模型
:param temperature: 温度
:param presence_penalty: 惩罚
:param max_tokens: 最大token数量
:return: 回复生成器
"""
if apikey is None:
apikey = API_KEY
header = {"Content-Type": "application/json",
"Authorization": "Bearer " + apikey}
data = {
"model": model,
"temperature": temperature,
"presence_penalty": presence_penalty,
"max_tokens": max_tokens,
"messages": message_context,
"stream": True
}
logger.info("开始流式请求")
url = "https://api.openai.com/v1/chat/completions"
# 请求接收流式数据 动态print
try:
response = requests.request("POST", url, headers=header, json=data, stream=True)
def generate():
stream_content = str()
one_message = {"role": "assistant", "content": stream_content}
message_history.append(one_message)
i = 0
for line in response.iter_lines():
# print(str(line))
line_str = str(line, encoding='utf-8')
if line_str.startswith("data:"):
if line_str.startswith("data: [DONE]"):
asyncio_run(save_all_user_dict())
logger.info("用户得到的回复内容:{}...".format(one_message["content"][:200]))
break
line_json = json.loads(line_str[5:])
if 'choices' in line_json:
if len(line_json['choices']) > 0:
choice = line_json['choices'][0]
if 'delta' in choice:
delta = choice['delta']
if 'role' in delta:
role = delta['role']
elif 'content' in delta:
delta_content = delta['content']
i += 1
if i < 40:
print(delta_content, end="")
elif i == 40:
print("......")
one_message['content'] = one_message['content'] + delta_content
yield delta_content
elif len(line_str.strip()) > 0:
print(line_str)
yield line_str
except Exception as e:
ee = e
def generate():
yield "request error:\n" + str(ee)
return generate
def handle_messages_get_response_stream(message, apikey, message_history, have_chat_context, chat_with_history):
message_history.append({"role": "user", "content": message})
asyncio_run(save_all_user_dict())
message_context = get_message_context(message_history, have_chat_context, chat_with_history)
generate = get_response_stream_generate_from_ChatGPT_API(message_context, apikey, message_history)
return generate
def check_session(current_session):
"""
检查session,如果不存在则创建新的session
:param current_session: 当前session
:return: 当前session
"""
if current_session.get('session_id') is not None:
pass
logger.debug("existing session, session_id:\t{}".format(current_session.get('session_id')))
else:
current_session['session_id'] = uuid.uuid1()
logger.info("new session, session_id:\t{}".format(current_session.get('session_id')))
return current_session['session_id']
def check_user_bind(current_session):
"""
检查用户是否绑定,如果没有绑定则重定向到index
:param current_session: 当前session
:return: 当前session
"""
if current_session.get('user_id') is None:
return False
return True
def get_user_info(user_id):
"""
获取用户信息
:param user_id: 用户id
:return: 用户信息
"""
lock.acquire()
user_info = all_user_dict.get(user_id)
lock.release()
return user_info
@app.route('/', methods=['GET', 'POST'])
def index():
"""
主页
:return: 主页
"""
check_session(session)
return render_template('index.html')
@app.route('/loadHistory', methods=['GET', 'POST'])
def load_messages():
"""
加载聊天记录
:return: 聊天记录
"""
check_session(session)
success, message = auth(request.headers, session)
code = 200 # 200表示云端存储了 node.js改写时若云端不存储则返回201
if not success:
return {"code": code, "data": [{"role": "web-system", "content": message}]}
if session.get('user_id') is None:
messages_history = [{"role": "assistant", "content": project_info},
{"role": "assistant", "content": "#### 当前浏览器会话为首次请求\n"
"#### 请输入已有用户`id`或创建新的用户`id`。\n"
"- 已有用户`id`请在输入框中直接输入\n"
"- 创建新的用户`id`请在输入框中输入`new:xxx`,其中`xxx`为你的自定义id,请牢记\n"
"- 输入`帮助`以获取帮助提示"}]
else:
user_info = get_user_info(session.get('user_id'))
chat_id = user_info['selected_chat_id']
messages_history = user_info['chats'][chat_id]['messages_history']
chat_name = user_info['chats'][chat_id]['name']
logger.warning(f"用户({session.get('user_id')})加载“{chat_name}”对话的聊天记录,共{len(messages_history)}条记录")
return {"code": code, "data": messages_history, "message": ""}
@app.route('/downloadUserDictFile', methods=['GET', 'POST'])
def download_user_dict_file():
"""
下载用户字典文件
:return: 用户字典文件
"""
check_session(session)
if request.headers.get("admin-password") is None:
success, message = auth(request.headers, session)
if not success:
return "未授权,无法下载"
user_id = request.headers.get("user-id")
if user_id is None:
return "未绑定用户,无法下载"
select_user_dict = LRUCache(USER_SAVE_MAX)
lock.acquire()
select_user_dict.put(user_id, all_user_dict.get(user_id))
lock.release()
# 存储为临时文件再发送出去
with tempfile.NamedTemporaryFile(suffix='.pkl', delete=False, mode='wb') as temp_file:
# 将 Python 对象使用 pickle 序列化保存到临时文件中
pickle.dump(select_user_dict, temp_file)
response = make_response(send_file(temp_file.name, as_attachment=True))
response.headers["Content-Disposition"] = f"attachment; filename={user_id}_of_{USER_DICT_FILE}"
response.call_on_close(lambda: os.remove(temp_file.name))
return response
else:
if request.headers.get("admin-password") != ADMIN_PASSWORD:
return "管理员密码错误,无法下载"
response = make_response(send_file(os.path.join(DATA_DIR, USER_DICT_FILE), as_attachment=True))
response.headers["Content-Disposition"] = f"attachment; filename={USER_DICT_FILE}"
return response
def backup_user_dict_file():
"""
备份用户字典文件
:return:
"""
backup_file_name = USER_DICT_FILE.replace(".pkl",
f"_buckup_{datetime.datetime.now().strftime('%Y%m%d%H%M%S%f')}.pkl")
shutil.copy(os.path.join(DATA_DIR, USER_DICT_FILE), os.path.join(DATA_DIR, backup_file_name))
logger.warning(f"备份用户字典文件{USER_DICT_FILE}为{backup_file_name}")
@app.route('/uploadUserDictFile', methods=['POST'])
def upload_user_dict_file():
"""
上传用户字典文件 并合并记录
:return:
"""
check_session(session)
file = request.files.get('file') # 获取上传的文件
if file:
if request.headers.get("admin-password") is None:
success, message = auth(request.headers, session)
if not success:
return "未授权,无法合并用户记录"
user_id = request.headers.get("user-id")
if user_id is None:
return "未绑定用户,无法合并用户记录"
if not file.filename.endswith(".pkl"):
return "上传文件格式错误,无法合并用户记录"
# 读取获取的文件
upload_user_dict = ""
with tempfile.NamedTemporaryFile(suffix='.pkl', delete=False, mode='wb') as temp_file:
file.save(temp_file.name)
# 将 Python 对象使用 pickle 序列化保存到临时文件中
try:
with open(temp_file.name, 'rb') as temp_file:
upload_user_dict = pickle.load(temp_file)
except:
return "上传文件格式错误,无法解析以及合并用户记录"
finally:
os.remove(temp_file.name)
# 判断是否为LRUCache对象
if not isinstance(upload_user_dict, LRUCache):
return "上传文件格式错误,无法合并用户记录"
lock.acquire()
user_info = all_user_dict.get(user_id)
lock.release()
upload_user_info = upload_user_dict.get(user_id)
if user_info is None or upload_user_info is None:
return "仅能合并相同用户id的记录,请确保所上传的记录与当前用户id一致"
backup_user_dict_file()
for chat_id in upload_user_info['chats'].keys():
if user_info['chats'].get(chat_id) is None:
user_info['chats'][chat_id] = upload_user_info['chats'][chat_id]
else:
new_chat_id = str(uuid.uuid1())
user_info['chats'][new_chat_id] = upload_user_info['chats'][chat_id]
asyncio_run(save_all_user_dict())
return '个人用户记录合并完成'
else:
if request.headers.get("admin-password") != ADMIN_PASSWORD:
return "管理员密码错误,无法上传用户记录"
if not file.filename.endswith(".pkl"):
return "上传文件格式错误,无法上传用户记录"
# 读取获取的文件
upload_user_dict = ""
with tempfile.NamedTemporaryFile(suffix='.pkl', delete=False, mode='wb') as temp_file:
file.save(temp_file.name)
# 将 Python 对象使用 pickle 序列化保存到临时文件中
try:
with open(temp_file.name, 'rb') as temp_file:
upload_user_dict = pickle.load(temp_file)
except:
return "上传文件格式错误,无法解析以及合并用户记录"
finally:
os.remove(temp_file.name)
# 判断是否为LRUCache对象
if not isinstance(upload_user_dict, LRUCache):
return "上传文件格式错误,无法合并用户记录"
backup_user_dict_file()
lock.acquire()
for user_id in list(upload_user_dict.keys()):
if all_user_dict.get(user_id) is None:
all_user_dict.put(user_id, upload_user_dict.get(user_id))
else:
for chat_id in upload_user_dict.get(user_id)['chats'].keys():
if all_user_dict.get(user_id)['chats'].get(chat_id) is None:
all_user_dict.get(user_id)['chats'][chat_id] = upload_user_dict.get(user_id)['chats'][
chat_id]
else:
new_chat_id = str(uuid.uuid1())
all_user_dict.get(user_id)['chats'][new_chat_id] = upload_user_dict.get(user_id)['chats'][
chat_id]
lock.release()
asyncio_run(save_all_user_dict())
return '所有用户记录合并完成'
else:
return '文件上传失败'
def auth(request_head, session):
"""
验证用户身份
:param request_head: 请求头
:param session: session
:return: 验证结果
"""
user_id = request_head.get("user-id")
user_id = urllib.parse.unquote(user_id)
password = request_head.get("password")
apikey = request_head.get("api-key")
user_info = get_user_info(user_id)
if len(PASSWORD) > 0 and password != PASSWORD:
return False, "访问密码错误,请在设置中填写正确的访问密码"
if user_info is not None:
session['user_id'] = user_id
if apikey is not None and len(apikey) > 1 and apikey != "null" and apikey != "undefined":
user_info['apikey'] = apikey
else:
user_info['apikey'] = None
return True, "success"
else:
if session.get('user_id') is not None:
del session['user_id']
return False, "用户不存在,请在设置中填写正确的用户id,或发送new:xxx创建新的用户,其中xxx为你的自定义id"
@app.route('/loadChats', methods=['GET', 'POST'])
def load_chats():
"""
加载聊天联系人
:return: 聊天联系人
"""
check_session(session)
success, message = auth(request.headers, session)
if not check_user_bind(session) or not success:
chats = []
else:
user_info = get_user_info(session.get('user_id'))
chats = []
chat_ids = []
# 如果置顶聊天列表不为空
if "chat_sticky_list" in user_info:
for chat_id in user_info['chat_sticky_list']:
if user_info['chats'].get(chat_id) is not None:
chat_ids.append(chat_id)
for chat_id in user_info['chats'].keys():
if chat_id not in chat_ids:
chat_ids.append(chat_id)
user_info['chat_sticky_list'] = chat_ids
for i, chat_id in enumerate(chat_ids):
chat_info = user_info['chats'][chat_id]
if chat_info['chat_with_history']:
mode = "continuous"
else:
mode = "normal"
if "assistant_prompt" in chat_info:
assistant_prompt = chat_info['assistant_prompt']
else:
assistant_prompt = ""
if "context_size" not in chat_info:
chat_info['context_size'] = 5
if "context_have" not in chat_info:
chat_info["context_have"] = 1
chats.append(
{"id": chat_id, "name": chat_info['name'], "selected": chat_id == user_info['selected_chat_id'],
"assistant_prompt": assistant_prompt, "context_size": chat_info['context_size'],
"context_have": chat_info["context_have"], "sticky_number": i,
"mode": mode, "messages_total": len(user_info['chats'][chat_id]['messages_history'])})
code = 200 # 200表示云端存储了 node.js改写时若云端不存储则返回201
return {"code": code, "data": chats, "message": ""}
def new_chat_dict(user_id, name, send_time):
return {"chat_with_history": False,
"have_chat_context": 0, # 从每次重置聊天模式后开始重置一次之后累计
"name": name,
"messages_history": [{"role": "assistant", "content": project_info},
{"role": "web-system", "content": f"当前对话的用户id为{user_id}"},
{"role": "web-system", "content": send_time},
{"role": "web-system", "content": f"你已添加了{name},现在可以开始聊天了。"},
]}
def new_user_dict(user_id, send_time):
chat_id = str(uuid.uuid1())
user_dict = {"chats": {chat_id: new_chat_dict(user_id, "默认对话", send_time)},
"selected_chat_id": chat_id,
"default_chat_id": chat_id}
user_dict['chats'][chat_id]['messages_history'].insert(1, {"role": "assistant",
"content": "创建新的用户id成功,请牢记该id"})
return user_dict
def get_balance(apikey):
head = ""
if apikey is not None:
head = "### 用户专属api key余额 \n"
else:
head = "### 通用api key \n"
apikey = API_KEY
subscription_url = "https://api.openai.com/v1/dashboard/billing/subscription"
headers = {
"Authorization": "Bearer " + apikey,
"Content-Type": "application/json"
}
subscription_response = requests.get(subscription_url, headers=headers)
if subscription_response.status_code == 200:
data = subscription_response.json()
total = data.get("hard_limit_usd")
else:
return head + subscription_response.text
# start_date设置为今天日期前99天
start_date = (datetime.datetime.now() - datetime.timedelta(days=99)).strftime("%Y-%m-%d")
# end_date设置为今天日期+1
end_date = (datetime.datetime.now() + datetime.timedelta(days=1)).strftime("%Y-%m-%d")
billing_url = f"https://api.openai.com/v1/dashboard/billing/usage?start_date={start_date}&end_date={end_date}"
billing_response = requests.get(billing_url, headers=headers)
if billing_response.status_code == 200:
data = billing_response.json()
total_usage = data.get("total_usage") / 100
daily_costs = data.get("daily_costs")
days = min(5, len(daily_costs))
recent = f"##### 最近{days}天使用情况 \n"
for i in range(days):
cur = daily_costs[-i - 1]
date = datetime.datetime.fromtimestamp(cur.get("timestamp")).strftime("%Y-%m-%d")
line_items = cur.get("line_items")
cost = 0
for item in line_items:
cost += item.get("cost")
recent += f"\t{date}\t{cost / 100} \n"
else:
return head + billing_response.text
return head + f"\n#### 总额:\t{total:.4f} \n" \
f"#### 已用:\t{total_usage:.4f} \n" \
f"#### 剩余:\t{total - total_usage:.4f} \n" \
f"\n" + recent
@app.route('/returnMessage', methods=['GET', 'POST'])
def return_message():
"""
获取用户发送的消息,调用get_chat_response()获取回复,返回回复,用于更新聊天框
:return:
"""
check_session(session)
request_data = request.get_json()
success, message = auth(request.headers, session)
if not success:
session.clear()
messages = request_data.get("messages")
max_tokens = request_data.get("max_tokens")
model = request_data.get("model")
temperature = request_data.get("temperature")
stream = request_data.get("stream")
continuous_chat = request_data.get("continuous_chat")
save_message = request_data.get("save_message")
send_message = messages[-1].get("content")
send_time = messages[-1].get("send_time")
display_time = bool(messages[-1].get("display_time"))
url_redirect = {"url_redirect": "/", "user_id": None}
if send_message == "帮助":
return "### 帮助\n" \
"1. 输入`new:xxx`创建新的用户id\n " \
"2. 输入`id:your_id`切换到已有用户id,新会话时无需加`id:`进入已有用户\n" \
"3. 输入`rename_id:xxx`可将当前用户id更改\n" \
"4. 输入`查余额`可获得余额信息及最近几天使用量\n" \
"5. 相关设置也可以在设置面板中进行设置\n" \
"6. 输入`帮助`查看帮助信息"
if session.get('user_id') is None: # 如果当前session未绑定用户
logger.warning("当前会话为首次请求,用户输入:\t"+send_message)
if send_message.startswith("new:"):
user_id = send_message.split(":")[1]
url_redirect["user_id"] = user_id
if user_id in all_user_dict:
session['user_id'] = user_id
return url_redirect
user_dict = new_user_dict(user_id, send_time)
lock.acquire()
all_user_dict.put(user_id, user_dict) # 默认普通对话
lock.release()
logger.warning(f"创建新的用户id:\t{user_id}")
session['user_id'] = user_id
url_redirect["user_id"] = user_id
return url_redirect
else:
user_id = send_message
user_info = get_user_info(user_id)
if user_info is None:
logger.warning(f"用户输入的id{user_id}不存在")
return "用户id不存在,请重新输入或创建新的用户id"
else:
session['user_id'] = user_id
logger.warning(f"切换到已有用户id:\t{user_id}")
# 重定向到index
url_redirect["user_id"] = user_id
return url_redirect
else: # 当存在用户id时
if send_message.startswith("id:"):
user_id = send_message.split(":")[1].strip()
user_info = get_user_info(user_id)
if user_info is None:
logger.warning(f"用户尝试切换的的id{user_id}不存在")
return "用户id不存在,请重新输入或创建新的用户id"
else:
session['user_id'] = user_id
url_redirect["user_id"] = user_id
logger.warning(f"切换到已有用户id:\t{user_id}")
# 重定向到index
return url_redirect
elif send_message.startswith("new:"):
user_id = send_message.split(":")[1]
if user_id in all_user_dict:
return "用户id已存在,请重新输入或切换到已有用户id"
session['user_id'] = user_id
url_redirect["user_id"] = user_id
user_dict = new_user_dict(user_id, send_time)
lock.acquire()
all_user_dict.put(user_id, user_dict)
lock.release()
logger.warning(f"创建新的用户id:\t{user_id}")
return url_redirect
elif send_message.startswith("delete:"): # 删除用户
user_id = send_message.split(":")[1]
if user_id != session.get('user_id'):
logger.warning(f"用户({session.get('user_id')})尝试删除用户id({user_id})")
return "只能删除当前会话的用户id"
else:
lock.acquire()
all_user_dict.delete(user_id)
lock.release()
session['user_id'] = None
logger.warning(f"删除用户id:\t{user_id}成功")
# 异步存储all_user_dict
asyncio_run(save_all_user_dict())
return url_redirect
elif send_message.startswith("set_apikey:"):
apikey = send_message.split(":")[1]
user_info = get_user_info(session.get('user_id'))
user_info['apikey'] = apikey
# TODO 前端未存储
logger.info(f"设置用户专属apikey:\t{apikey}")
return "设置用户专属apikey成功"
elif send_message.startswith("rename_id:"):
new_user_id = send_message.split(":")[1]
user_info = get_user_info(session.get('user_id'))
if new_user_id in all_user_dict:
return "用户id已存在,请重新输入"
else:
lock.acquire()
all_user_dict.delete(session['user_id'])
all_user_dict.put(new_user_id, user_info)
lock.release()
session['user_id'] = new_user_id
asyncio_run(save_all_user_dict())
logger.warning(f"修改用户id:\t{new_user_id}")
url_redirect["user_id"] = new_user_id
return url_redirect
elif send_message == "查余额":
user_info = get_user_info(session.get('user_id'))
apikey = user_info.get('apikey')
return get_balance(apikey)
else: # 处理聊天数据
user_id = session.get('user_id')
logger.info(f"用户({user_id})发送消息:{send_message}")
user_info = get_user_info(user_id)
chat_id = user_info['selected_chat_id']
messages_history = user_info['chats'][chat_id]['messages_history']
chat_with_history = user_info['chats'][chat_id]['chat_with_history']
apikey = user_info.get('apikey')
if chat_with_history:
user_info['chats'][chat_id]['have_chat_context'] += 1
if display_time:
messages_history.append({'role': 'web-system', "content": send_time})
for m in messages:
keys = list(m.keys())
for k in keys:
if k not in ['role', 'content']:
del m[k]
if not STREAM_FLAG:
if save_message:
messages_history.append(messages[-1])
response = get_response_from_ChatGPT_API(messages, apikey)
if save_message:
messages_history.append({"role": "assistant", "content": response})
asyncio_run(save_all_user_dict())
logger.info(f"用户({session.get('user_id')})得到的回复消息:{response[:40]}...")
# 异步存储all_user_dict
asyncio_run(save_all_user_dict())
return response
else:
if save_message:
messages_history.append(messages[-1])
asyncio_run(save_all_user_dict())
if not save_message:
messages_history = []
generate = get_response_stream_generate_from_ChatGPT_API(messages, apikey, messages_history,
model=model, temperature=temperature,
max_tokens=max_tokens)
return app.response_class(generate(), mimetype='application/json')
async def save_all_user_dict():
"""
异步存储all_user_dict
:return:
"""
await asyncio.sleep(0)
lock.acquire()
with open(os.path.join(DATA_DIR, USER_DICT_FILE), "wb") as f:
pickle.dump(all_user_dict, f)
logger.debug("聊天j存储成功")
lock.release()
@app.route('/selectChat', methods=['GET'])
def select_chat():
"""
选择聊天对象
:return:
"""
chat_id = request.args.get("id")
check_session(session)
if not check_user_bind(session):
return {"code": -1, "msg": "请先创建或输入已有用户id"}
user_id = session.get('user_id')
user_info = get_user_info(user_id)
user_info['selected_chat_id'] = chat_id
return {"code": 200, "msg": "选择聊天对象成功"}
@app.route('/newChat', methods=['GET'])
def new_chat():
"""
新建聊天对象
:return:
"""
name = request.args.get("name")
time = request.args.get("time")
new_chat_id = request.args.get("chat_id")
check_session(session)
if not check_user_bind(session):
return {"code": -1, "msg": "请先创建或输入已有用户id"}
user_id = session.get('user_id')
user_info = get_user_info(user_id)
# new_chat_id = str(uuid.uuid1())
user_info['selected_chat_id'] = new_chat_id
user_info['chats'][new_chat_id] = new_chat_dict(user_id, name, time)
user_info["chat_sticky_list"].insert(1, new_chat_id)
logger.info("新建聊天对象")
asyncio_run(save_all_user_dict())
return {"code": 200, "data": {"name": name, "id": new_chat_id, "selected": True,
"messages_total": len(user_info['chats'][new_chat_id]['messages_history'])}}
@app.route('/deleteHistory', methods=['GET'])
def delete_history():
"""
清空上下文
:return:
"""
check_session(session)
if not check_user_bind(session):
logger.info("请先创建或输入已有用户id")
return {"code": -1, "msg": "请先创建或输入已有用户id"}
user_info = get_user_info(session.get('user_id'))
chat_id = user_info['selected_chat_id']
default_chat_id = user_info['default_chat_id']
if default_chat_id == chat_id:
logger.warning("清空历史记录")
user_info["chats"][chat_id]['messages_history'] = user_info["chats"][chat_id]['messages_history'][:5]
else:
logger.warning("删除聊天对话")
del user_info["chats"][chat_id]
user_info['selected_chat_id'] = default_chat_id
return "2"
@app.route('/editChat', methods=['GET', 'POST'])
def edit_chat():
check_session(session)
if not check_user_bind(session):
return {"code": -1, "msg": "请先创建或输入已有用户id"}
user_id = session.get('user_id')
user_info = get_user_info(user_id)
data = request.get_json()
id = data.get("id")
if id not in user_info["chats"]:
return {"code": -1, "msg": "需要编辑的聊天对话不存在"}
if data.get("name") is not None:
user_info["chats"][id]["name"] = data.get("name")
if data.get("context_size") is not None:
user_info["chats"][id]["context_size"] = data.get("context_size") # 每次发送请求时,发送的上下文数量
if data.get("mode") is not None:
mode = data.get("mode")
if mode == "normal":
user_info["chats"][id]['chat_with_history'] = False
else:
user_info["chats"][id]['chat_with_history'] = True
if data.get("assistant_prompt") is not None:
assistant_prompt = data.get("assistant_prompt")
user_info["chats"][id]["assistant_prompt"] = assistant_prompt
if data.get("context_have") is not None:
context_have = data.get("context_have")
user_info["chats"][id]["context_have"] = context_have
# 如果需要置顶该聊天
if data.get("sticky_number") is not None and id != user_info['default_chat_id']:
sticky_number = data.get("sticky_number")
if "chat_sticky_list" not in user_info:
user_info["chat_sticky_list"] = []
if sticky_number < 1:
user_info["chat_sticky_list"].remove(id)
else:
if id in user_info["chat_sticky_list"]:
user_info["chat_sticky_list"].remove(id)
user_info["chat_sticky_list"].insert(sticky_number, id)
return {"code": 200, "msg": "修改成功"}
def check_load_pickle():
global all_user_dict
data_files = os.listdir(DATA_DIR)
have_move = False # 匹配新版迁移,新版本的用户记录移到了data目录中
for file in data_files:
if re.match(r"all_user_dict_.*\.pkl", file):
have_move = True
break
if not have_move:
files = os.listdir()
for file in files:
if re.match(r"all_user_dict_.*\.pkl", file):
shutil.move(file, DATA_DIR)
if os.path.exists(os.path.join(DATA_DIR, USER_DICT_FILE)):
with open(os.path.join(DATA_DIR, USER_DICT_FILE), "rb") as pickle_file:
all_user_dict = pickle.load(pickle_file)
all_user_dict.change_capacity(USER_SAVE_MAX)
logger.warning(f"已加载上次存储的用户上下文,共有{len(all_user_dict)}用户, 分别是")
for i, user_id in enumerate(list(all_user_dict.keys())):
info = f"{i} 用户id:{user_id}\t对话统计:\t"
user_info = all_user_dict.get(user_id)
for chat_id in user_info['chats'].keys():
info += f"{user_info['chats'][chat_id]['name']}[{len(user_info['chats'][chat_id]['messages_history'])}] "
logger.info(info)
elif os.path.exists(os.path.join(DATA_DIR, "all_user_dict_v2.pkl")): # 适配V2
logger.warning('检测到v2版本的上下文,将转换为v3版本')
with open(os.path.join(DATA_DIR, "all_user_dict_v2.pkl"), "rb") as pickle_file:
all_user_dict = pickle.load(pickle_file)
all_user_dict.change_capacity(USER_SAVE_MAX)
logger.warning(f"共有用户个{len(all_user_dict)}")
for user_id in list(all_user_dict.keys()):
user_info: dict = all_user_dict.get(user_id)
for chat_id in user_info['chats'].keys():
if "messages_history" in user_info['chats'][chat_id]:
for i in range(len(user_info['chats'][chat_id]['messages_history'])):
# 将system关键字改为 web-system
if "role" in user_info['chats'][chat_id]['messages_history'][i] and \
user_info['chats'][chat_id]['messages_history'][i]["role"] == "system":
user_info['chats'][chat_id]['messages_history'][i]["role"] = "web-system"
asyncio_run(save_all_user_dict())
elif os.path.exists(os.path.join(DATA_DIR, "all_user_dict.pkl")): # 适配V1版本
logger.warning('检测到v1版本的上下文,将转换为v3版本')
with open(os.path.join(DATA_DIR, "all_user_dict.pkl"), "rb") as pickle_file:
all_user_dict = pickle.load(pickle_file)
all_user_dict.change_capacity(USER_SAVE_MAX)
logger.warning(f"共有用户{len(all_user_dict)}个")
for user_id in list(all_user_dict.keys()):
user_info: dict = all_user_dict.get(user_id)
if "messages_history" in user_info:
user_dict = new_user_dict(user_id, "")
chat_id = user_dict['selected_chat_id']
user_dict['chats'][chat_id]['messages_history'] = user_info['messages_history']
user_dict['chats'][chat_id]['chat_with_history'] = user_info['chat_with_history']
user_dict['chats'][chat_id]['have_chat_context'] = user_info['have_chat_context']
all_user_dict.put(user_id, user_dict) # 更新
asyncio_run(save_all_user_dict())
else:
with open(os.path.join(DATA_DIR, USER_DICT_FILE), "wb") as pickle_file:
pickle.dump(all_user_dict, pickle_file)
logger.warning("未检测到上次存储的用户上下文,已创建新的用户上下文")
# 判断all_user_dict是否为None且时LRUCache的对象
if all_user_dict is None or not isinstance(all_user_dict, LRUCache):
logger.warning("all_user_dict为空或不是LRUCache对象,已创建新的LRUCache对象")
all_user_dict = LRUCache(USER_SAVE_MAX)
if __name__ == '__main__' or __name__ == 'main':
logger.warning("持久化存储文件路径为:{}".format(os.path.join(os.getcwd(), os.path.join(DATA_DIR, USER_DICT_FILE))))
all_user_dict = LRUCache(USER_SAVE_MAX)
check_load_pickle()
if len(API_KEY) == 0:
# 退出程序
logger.error("请在openai官网注册账号,获取api_key填写至程序内或命令行参数中")
exit()
if os.getenv("DEPLOY_ON_ZEABUR") is None:
app.run(host="0.0.0.0", port=PORT, debug=False)