加入豆包AI :doubao-1-5-lite-32k-250115
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138
base/func_doubao.py
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138
base/func_doubao.py
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import requests
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import json
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import logging
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from datetime import datetime
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class Doubao():
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def __init__(self, conf: dict) -> None:
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self.key = conf.get("key")
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self.api = conf.get("api")
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prompt = conf.get("prompt")
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self.model = conf.get("model")
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self.LOG = logging.getLogger("doubao")
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self.conversation_list = {}
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self.system_content_msg = {"role": "system", "content": prompt}
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def __repr__(self):
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return 'Doubao'
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def get_answer(self, question: str, wxid: str) -> str:
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# 设置请求头
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self.updateMessage(wxid, question, "user")
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rsp = ""
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try:
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headers = {
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"Content-Type": "application/json; charset=utf-8",
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"Authorization": f"Bearer {self.key}"
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}
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# 设置请求的payload
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data = {
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"model": self.model,
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"messages": [
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self.system_content_msg,
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{
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"role": "user",
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"content": f"{question}"
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}
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]
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}
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# 发送POST请求
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response = requests.post(self.api, headers=headers, data=json.dumps(data), )
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response.encoding = 'utf-8'
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# 输出响应内容
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print(response.status_code)
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# print(response.text)
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rsp = extract_content(response.text)
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self.updateMessage(wxid, rsp, "assistant")
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except Exception as e0:
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self.LOG.error(f"发生未知错误:{str(e0)}")
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return rsp
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def updateMessage(self, wxid: str, question: str, role: str) -> None:
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now_time = str(datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
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time_mk = "当需要回答时间时请直接参考回复:"
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# 初始化聊天记录,组装系统信息
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if wxid not in self.conversation_list.keys():
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question_ = [
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self.system_content_msg,
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{"role": "system", "content": "" + time_mk + now_time}
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]
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self.conversation_list[wxid] = question_
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# 当前问题
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content_question_ = {"role": role, "content": question}
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self.conversation_list[wxid].append(content_question_)
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for cont in self.conversation_list[wxid]:
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if cont["role"] != "system":
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continue
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if cont["content"].startswith(time_mk):
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cont["content"] = time_mk + now_time
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# 只存储10条记录,超过滚动清除
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i = len(self.conversation_list[wxid])
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if i > 10:
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print("滚动清除微信记录:" + wxid)
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# 删除多余的记录,倒着删,且跳过第一个的系统消息
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del self.conversation_list[wxid][1]
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@staticmethod
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def value_check(conf: dict) -> bool:
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if conf:
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if conf.get("key") and conf.get("api") and conf.get("prompt"):
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return True
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return False
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# 解析JSON
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def extract_content(data_string):
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try:
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data = json.loads(data_string)
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# 提取content字段
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content = data["choices"][0]["message"].get("content", "")
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return content
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except json.JSONDecodeError:
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print("Invalid JSON")
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return None
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if __name__ == '__main__':
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from configuration import Config
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config = Config().DOUBAO
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if not config:
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exit(0)
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chat = Doubao(config)
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while True:
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q = input(">>> ")
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try:
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time_start = datetime.now() # 记录开始时间
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print(chat.get_answer(q, "Jyunere"))
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time_end = datetime.now() # 记录结束时间
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print(f"{round((time_end - time_start).total_seconds(), 2)}s") # 计算的时间差为程序的执行时间,单位为秒/s
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except Exception as e:
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print(e)
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# curl
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# https: // ark.cn - beijing.volces.com / api / v3 / chat / completions \
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# - H
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# "Content-Type: application/json" \
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# - H
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# "Authorization: Bearer b8586595-eb81-483d-8e91-a35cc789729e" \
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# - d
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# '{
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# "model": "doubao-1-5-lite-32k-250115",
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# "messages": [
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# {"role": "system", "content": "你是人工智能助手."},
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# {"role": "user", "content": "常见的十字花科植物有哪些?"}
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# ]
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#
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# }'
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13
config.yaml
13
config.yaml
@@ -108,4 +108,15 @@ deepseek:
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请回复时以以下格式进行返回:
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- 问题描述:
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- 问题评价:分析问题的提出角度,如(财经、彩票、房产、股票、家居、教育、科技、社会、时尚、时政、体育、星座、游戏、娱乐)等
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- 总结:经过300个字以内的优化返回,返回内容请进行一定程度的结构化,方便快速阅读' # 根据需要对角色进行设定
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- 总结:经过300个字以内的优化返回,返回内容请进行一定程度的结构化,方便快速阅读' # 根据需要对角色进行设定
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doubao:
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key: b8586595-eb81-483d-8e91-a35cc789729e
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api: https://ark.cn-beijing.volces.com/api/v3/chat/completions # 如果你不知道这是干嘛的,就不要改
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model: doubao-1-5-lite-32k-250115 #
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prompt: '你是一个信息归纳分析工程师,你根据提问会搜索相关资料。经过信息精炼之后返回内容。
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请回复时以以下格式进行返回:
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- 问题描述:
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- 问题评价:分析问题的提出角度,如(财经、彩票、房产、股票、家居、教育、科技、社会、时尚、时政、体育、星座、游戏、娱乐)等
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- 总结:经过300个字以内的优化返回,返回内容请进行一定程度的结构化,方便快速阅读' # 根据需要对角色进行设定
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@@ -39,3 +39,4 @@ class Config(object):
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self.ZhiPu = yconfig.get("zhipu", {})
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self.CLAUDE = yconfig.get("claude", {})
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self.DEEPSEEK =yconfig.get("deepseek",{})
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self.DOUBAO =yconfig.get("doubao",{})
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@@ -11,12 +11,14 @@ class ChatType(IntEnum):
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BardAssistant = 5 # Google Bard
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ZhiPu = 6 # ZhiPu
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CLAUDE = 7 # CLAUDE
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DOUBAO = 8 # doubao
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@staticmethod
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def is_in_chat_types(chat_type: int) -> bool:
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if chat_type in [ChatType.TIGER_BOT.value, ChatType.CHATGPT.value,
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ChatType.XINGHUO_WEB.value, ChatType.CHATGLM.value,
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ChatType.BardAssistant.value, ChatType.ZhiPu.value, ChatType.CLAUDE.value]:
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ChatType.BardAssistant.value, ChatType.ZhiPu.value, ChatType.CLAUDE.value,
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ChatType.DOUBAO.value]:
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return True
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return False
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@@ -75,7 +75,7 @@ def get_messages(group_id, all_contacts: dict):
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'%Y-%m-%d %H:%M:%S')
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# 更新 Redis 存储的当前时间
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r.set(key, current_date)
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# r.set(key, current_date)
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with connection.cursor() as cursor:
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# 执行查询,获取最近 8 小时的消息
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@@ -1,6 +1,7 @@
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import requests
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import json
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# 解析JSON
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def extract_content(data_string):
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try:
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@@ -15,8 +16,9 @@ def extract_content(data_string):
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def message_summary(content):
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# 设置Authorization和URL
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authorization = "46a5674a-e978-491b-a810-5d54605f2c36" # 请替换为真实的Authorization token
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url = 'http://127.0.0.1:8080/v1/chat/completions'
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authorization = "Bearer b8586595-eb81-483d-8e91-a35cc789729e" # 请替换为真实的Authorization token
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url = 'https://ark.cn-beijing.volces.com/api/v3/chat/completions'
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# 群聊精华总结生成指令
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prompt = """
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【基础要求】
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@@ -114,10 +116,9 @@ def message_summary(content):
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- 个性化适配:根据群成员特点,生成个性化头衔和角色。
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"""
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data = {
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# "stream": True,
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"model": "windsurf/gpt4o",
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"model": "doubao-1-5-lite-32k-250115",
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"messages": [
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{
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"role": "system",
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5
robot.py
5
robot.py
@@ -9,6 +9,7 @@ from threading import Thread
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from datetime import datetime, timedelta
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import random
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from base.func_doubao import Doubao
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from base.func_epic import is_friday, get_free
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from base.func_zhipu import ZhiPu
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@@ -74,6 +75,8 @@ class Robot(Job):
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self.chat = ZhiPu(self.config.ZhiPu)
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elif chat_type == ChatType.CLAUDE.value and Claude.value_check(self.config.CLAUDE):
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self.chat = Claude(self.config.CLAUDE)
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elif chat_type == ChatType.DOUBAO.value and Claude.value_check(self.config.DOUBAO):
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self.chat = Doubao(self.config.DOUBAO)
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else:
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self.LOG.warning("未配置模型")
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self.chat = None
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@@ -92,6 +95,8 @@ class Robot(Job):
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self.chat = ZhiPu(self.config.ZhiPu)
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elif Claude.value_check(self.config.CLAUDE):
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self.chat = Claude(self.config.CLAUDE)
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elif Doubao.value_check(self.config.DOUBAO):
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self.chat = Doubao(self.config.DOUBAO)
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else:
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self.LOG.warning("未配置模型")
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self.chat = None
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