添加token
This commit is contained in:
jlj
parent
f882c25093
commit
1d5b3eb237
@ -19,7 +19,7 @@ class OfferStatusService:
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:return: 状态字符串
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"""
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try:
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url = "http://127.0.0.1:8000/api/operation/negotiations/offer_status/"
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url = "http://81.69.223.133:58099/api/operation/negotiations/offer_status/"
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payload = {
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'creator_id': str(creator_id),
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@ -11,6 +11,7 @@ from rest_framework import viewsets, status
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from rest_framework.decorators import action
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from rest_framework.response import Response
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from rest_framework.permissions import IsAuthenticated
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from apps.user.authentication import CustomTokenAuthentication
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from django.db.models import Q
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import os
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import subprocess
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@ -30,6 +31,8 @@ from apps.brands.models import Product
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client = Client(host="http://localhost:11434")
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class ContentAnalysisAPI(APIView):
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authentication_classes = [CustomTokenAuthentication]
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permission_classes = [IsAuthenticated]
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parser_classes = (MultiPartParser, FormParser)
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def post(self, request):
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@ -167,48 +170,49 @@ class ContentAnalysisAPI(APIView):
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class NegotiationViewSet(viewsets.ModelViewSet):
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queryset = Negotiation.objects.all()
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serializer_class = NegotiationSerializer
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authentication_classes = [CustomTokenAuthentication]
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permission_classes = [IsAuthenticated]
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def create(self, request, *args, **kwargs):
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"""创建谈判（事务保护版）"""
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try:
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# 开启事务：所有数据库操作要么全部成功，要么全部回滚
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with transaction.atomic():
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# 1. 验证请求数据
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"""创建谈判并返回包含初始消息的响应"""
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serializer = self.get_serializer(data=request.data)
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serializer.is_valid(raise_exception=True) # 自动返回400错误
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serializer.is_valid(raise_exception=True)
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# Extract creator and product from validated data
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creator = serializer.validated_data['creator']
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product = serializer.validated_data['product']
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# 2. 检查达人是否存在
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# 检查该用户是否存在
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if not CreatorProfile.objects.filter(id=creator.id).exists():
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return Response(
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{"code": 404, "message": "未找到指定的达人", "data": None},
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status=status.HTTP_404_NOT_FOUND
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)
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return Response({
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"code": 404,
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"message": "未找到指定的达人",
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"data": None
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})
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# 3. 检查商品是否存在
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# Check if the product exists
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if not Product.objects.filter(id=product.id).exists():
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return Response(
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{"code": 404, "message": "未找到指定的商品", "data": None},
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status=status.HTTP_404_NOT_FOUND
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)
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return Response({
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"code": 404,
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"message": "未找到指定的商品",
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"data": None
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})
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# 4. 检查是否已存在相同谈判
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if Negotiation.objects.filter(creator=creator, product=product).exists():
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return Response(
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{
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# Check if a negotiation already exists for the same creator and product
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existing_negotiation = Negotiation.objects.filter(creator=creator, product=product).first()
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if existing_negotiation:
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return Response({
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"code": 400,
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"message": "谈判已存在",
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"data": {}
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},
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status=status.HTTP_400_BAD_REQUEST
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)
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"data": {
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"negotiation_id": existing_negotiation.id
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}
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})
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# 5. 创建谈判记录
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# 1. 创建谈判记录
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negotiation = serializer.save()
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# 6. 生成初始消息
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# 2. 生成并保存初始消息
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initial_message = self._generate_welcome_message(negotiation)
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message = Message.objects.create(
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negotiation=negotiation,
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@ -217,9 +221,8 @@ class NegotiationViewSet(viewsets.ModelViewSet):
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stage=negotiation.status
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)
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# 7. 返回成功响应
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return Response(
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{
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# 4. 构建响应数据
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response_data = {
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"code": 200,
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"message": "谈判已创建",
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"data": {
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@ -228,18 +231,10 @@ class NegotiationViewSet(viewsets.ModelViewSet):
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"content": initial_message,
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"created_at": message.created_at
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}
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},
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status=status.HTTP_201_CREATED,
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headers=self.get_success_headers(serializer.data)
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)
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}
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except Exception as e:
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# 记录异常细节（实际生产环境应接入监控系统）
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# logger.error(f"谈判创建失败: {str(e)}", exc_info=True)
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return Response(
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{"code": 500, "message": "服务器内部错误", "data": None},
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status=status.HTTP_500_INTERNAL_SERVER_ERROR
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)
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headers = self.get_success_headers(serializer.data)
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return Response(response_data, status=status.HTTP_201_CREATED, headers=headers)
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@action(detail=True, methods=['post'])
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def chat(self, request, pk=None):
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@ -441,6 +436,7 @@ class NegotiationViewSet(viewsets.ModelViewSet):
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🔍 商品详情：
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- 名称：{product.name}
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- 类目：{product.category}
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- 核心卖点：{product.description}
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🤝 合作优势：
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@ -479,8 +475,8 @@ class NegotiationViewSet(viewsets.ModelViewSet):
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你是作为一个专业的商务谈判专家, 现在正在与达人 {negotiation.creator.name} 进行价格谈判。
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当前谈判轮次：{negotiation.current_round}/4
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商品参考价格：{negotiation.product.sales_price_min}元
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商品最低价格：{negotiation.product.sales_price_max}元
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商品参考价格：{negotiation.product.max_price}元
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商品最低价格：{negotiation.product.min_price}元
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达人最新回复：
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{history[-1]['content']}
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@ -538,7 +534,6 @@ class NegotiationViewSet(viewsets.ModelViewSet):
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content = f"""
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当前谈判已进入正式合同的准备阶段。
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如果用户继续谈跟价格有关的信息的话，我们就表示已经谈好价格了，无法修改。
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如果用户表示没有收到合同邮件的话，我们就再次向用户发送合同邮件。
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如果用户表示接受的话，我们引导用户去查看邮件并签署合同。
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如果用户表示拒绝的话，我们引导用户去查看合同邮件然后在邮件中拒绝签署此合同。
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@ -605,7 +600,7 @@ class NegotiationViewSet(viewsets.ModelViewSet):
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subject = f"合同文件 - {negotiation.product.name}"
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recipient = '3299361176@qq.com'
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if not recipient:
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# logger.error(f"未找到达人 {negotiation.creator.name} 的邮箱，无法发送合同。")
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logger.error(f"未找到达人 {negotiation.creator.name} 的邮箱，无法发送合同。")
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return False
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try:
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email = EmailMessage(
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@ -620,15 +615,17 @@ class NegotiationViewSet(viewsets.ModelViewSet):
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email.attach('商品合同.docx', f.read(),
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'application/vnd.openxmlformats-officedocument.wordprocessingml.document')
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email.send(fail_silently=False)
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# logger.info(f"合同已发送到 {recipient}")
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logger.info(f"合同已发送到 {recipient}")
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return True
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except Exception as e:
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# logger.error(f"发送合同邮件失败: {e}")
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logger.error(f"发送合同邮件失败: {e}")
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return False
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## 根据接收到的达人列表来查找达人（已弃用）
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class TopCreatorsAPI(APIView):
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authentication_classes = [CustomTokenAuthentication]
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permission_classes = [IsAuthenticated]
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def post(self, request):
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# Extract filtering criteria and creator list from the request
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criteria = request.data.get('criteria', "")
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@ -715,6 +712,8 @@ class TopCreatorsAPI(APIView):
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## 生成sql直接查询达人库
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class CreatorSQLSearchAPI(APIView):
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authentication_classes = [CustomTokenAuthentication]
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permission_classes = [IsAuthenticated]
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def post(self, request):
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criteria = request.data.get('criteria', '')
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top_n = int(request.data.get('top_n', 10)) # 默认为10
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@ -722,48 +721,54 @@ class CreatorSQLSearchAPI(APIView):
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return Response({"error": "缺少筛选条件"}, status=400)
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table_schema = '''
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creator_profiles(
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id bigint 主键,
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name varchar(255) 达人名称,
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avatar_url text 头像URL,
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email varchar(255) 电子邮箱,
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instagram varchar(255) Instagram账号,
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tiktok_link varchar(255) TikTok链接,
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location varchar(100) 位置,
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live_schedule varchar(255) 直播时间表,
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category varchar(100) 类别,
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e_commerce_level int 电商能力等级,
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exposure_level varchar(10) 曝光等级,
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followers int 粉丝数,
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gmv decimal(12,2) GMV(千美元),
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items_sold decimal(12,2) 售出商品数量,
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avg_video_views int 平均视频浏览量,
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pricing_min decimal(10,2) 最低个人定价,
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pricing_max decimal(10,2) 最高个人定价,
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pricing_package varchar(100) 套餐定价,
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collab_count int 合作次数,
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latest_collab varchar(100) 最新合作,
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e_commerce_platforms json 电商平台,
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gmv_by_channel json GMV按渠道分布,
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gmv_by_category json GMV按类别分布,
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mcn varchar(255) MCN机构,
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create_time datetime 创建时间,
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update_time datetime 更新时间
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feishu_creators(
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id char(32) 主键,
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record_id varchar(100) 记录ID,
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contact_person varchar(50) 联系人姓名,
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handle longtext 账号/达人昵称,
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tiktok_url longtext 抖音主页链接,
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fans_count varchar(50) 粉丝数,
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gmv varchar(100) GMV,
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email varchar(254) 邮箱,
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phone varchar(50) 电话,
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account_type varchar(50) 账号类型,
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price_quote longtext 报价,
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response_speed varchar(50) 响应速度,
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cooperation_intention varchar(50) 合作意向,
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payment_method varchar(50) 支付方式,
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payment_account varchar(100) 支付账号,
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address longtext 地址,
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has_ooin varchar(10) 是否有OOIN,
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source varchar(100) 数据来源,
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contact_status varchar(50) 联系状态,
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cooperation_brands json 合作品牌,
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system_categories varchar(100) 系统分类,
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actual_categories varchar(100) 实际分类,
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human_categories varchar(100) 人工分类,
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creator_base varchar(100) 达人基地,
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notes longtext 备注,
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created_at datetime 创建时间,
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updated_at datetime 更新时间
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)
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'''
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prompt = f"""
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你是一个SQL专家。下面是MySQL表creator_profiles的结构:
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你是一个SQL专家。下面是MySQL表feishu_creators的结构:
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{table_schema}
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以下是我对表中每个字段的解释: 方便你写出正确的sql查询语句
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请根据以下自然语言筛选条件, 生成一条MySQL的SELECT语句, 查询daren_detail.creator_profiles表(注意一定要写数据库名称.表名称), 返回所有字段。不要加任何解释说明, 只输出SQL语句本身。
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注意: fans_count 字段为字符串，可能为纯数字（如 '1234'），也可能带有 K（千）或 M（百万）后缀（如 '9K', '56.5K', '13.2M'）。请在SQL中将其统一转换为数字后再进行比较, K=1000, M=1000000。例如查找粉丝数量大于10000的博主: SELECT * FROM your_table WHERE (CASE WHEN fans_count LIKE '%K' THEN CAST(REPLACE(fans_count, 'K', '') AS DECIMAL(10,2)) * 1000 WHEN fans_count LIKE '%M' THEN CAST(REPLACE(fans_count, 'M', '') AS DECIMAL(10,2)) * 1000000 ELSE CAST(fans_count AS DECIMAL(10,2)) END) > 100000;
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注意: response_speed 字段有以下几个取值: 1、无回复 2、一般 3、正常 4、积极。请在sql中直接使用上述的某个值就好, 不要进行任何转换。例如： SELECT * FROM daren.feishu_creators WHERE response_speed = '积极'
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注意: source 字段有以下几个取值: 1. 线下活动 2、TAP后台。请在sql中直接使用上述的某个值就好, 不要进行任何转换。例如: SELECT * FROM daren.feishu_creators WHERE source = 'TAP后台'
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注意: system_categories 字段是一个varchar类型的值, 是一个列表形式表示的，例如 ['日用百货']、['美妆个护,保健'] 这种。例如查找'美妆个护'的博主： SELECT * FROM daren.feishu_creators WHERE system_categories LIKE '%美妆个护%';
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注意: gmv 字段是一个varchar类型的值, 例如 $86.89、$8761.98、$15.5K、$12.5M 这种。例如我要查询gmv大于10000美金的达人: SELECT * FROM daren.feishu_creators WHERE gmv NOT LIKE '$0-%' AND (CASE WHEN gmv LIKE '%K' THEN CAST(SUBSTRING(gmv, 2, LENGTH(gmv) - 2) AS DECIMAL(10,2)) * 1000 WHEN gmv LIKE '%M' THEN CAST(SUBSTRING(gmv, 2, LENGTH(gmv) - 2) AS DECIMAL(10,2)) * 1000000 ELSE CAST(SUBSTRING(gmv, 2) AS DECIMAL(10,2)) END) > 10000;
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请根据以下自然语言筛选条件, 生成一条MySQL的SELECT语句, 查询daren.feishu_creators表(注意一定要写数据库名称.表名称), 返回所有字段。不要加任何解释说明, 只输出SQL语句本身。
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筛选条件：{criteria}
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"""
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# 2. 让大模型生成SQL
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response = client.chat(
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model="qwen2.5:32b",
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model="deepseek-r1:70b",
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messages=[{'role': 'user', 'content': prompt}],
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)
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sql = self._extract_sql(response['message']['content'])
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@ -223,6 +223,3 @@ SIMPLE_JWT = {
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'JTI_CLAIM': None, # 不在 token 中包含 JWT ID
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}
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# JWT配置
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JWT_SECRET_KEY = 'your-secret-key-here' # 建议使用更安全的密钥
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JWT_EXPIRATION_DELTA = 24 * 60 * 60 # token有效期24小时（秒）
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11
logs/app.log
11
logs/app.log
@ -29,3 +29,14 @@ ERROR 2025-05-20 17:40:33,375 offer_status_service
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ERROR 2025-05-20 17:41:03,425 offer_status_service 获取谈判状态失败: 不存在与用户id为14和商品id为241a67e0-1c99-44de-a5dd-40622ffa23b6的谈判
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ERROR 2025-05-20 17:41:33,477 offer_status_service 获取谈判状态失败: 不存在与用户id为14和商品id为241a67e0-1c99-44de-a5dd-40622ffa23b6的谈判
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ERROR 2025-05-20 17:42:03,529 offer_status_service 获取谈判状态失败: 不存在与用户id为14和商品id为241a67e0-1c99-44de-a5dd-40622ffa23b6的谈判
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INFO 2025-05-21 15:11:55,810 status_polling_service 已启动活动 1 的状态轮询，间隔 30 秒
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INFO 2025-05-21 15:11:55,812 consumers 已启动活动 1 的状态轮询
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INFO 2025-05-21 15:11:55,813 consumers WebSocket连接已建立: campaign_1
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ERROR 2025-05-21 15:11:55,860 offer_status_service 请求谈判状态接口失败: 401
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ERROR 2025-05-21 15:12:25,874 offer_status_service 请求谈判状态接口失败: 401
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ERROR 2025-05-21 15:12:55,889 offer_status_service 请求谈判状态接口失败: 401
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ERROR 2025-05-21 15:13:25,904 offer_status_service 请求谈判状态接口失败: 401
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ERROR 2025-05-21 15:13:55,924 offer_status_service 请求谈判状态接口失败: 401
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ERROR 2025-05-21 15:14:25,949 offer_status_service 请求谈判状态接口失败: 401
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ERROR 2025-05-21 15:14:55,967 offer_status_service 请求谈判状态接口失败: 401
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ERROR 2025-05-21 15:15:25,985 offer_status_service 请求谈判状态接口失败: 401
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