优化DeepSeek API调用，改进推荐回复功能
This commit is contained in:
wanjia
parent
45d49d4b4a
commit
7ffb0de74c
@ -316,4 +316,8 @@ USE_I18N = True
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USE_L10N = True
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USE_TZ = True # 将此项设置为True以启用时区支持
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# DeepSeek API配置
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DEEPSEEK_API_KEY = "sk-xqbujijjqqmlmlvkhvxeogqjtzslnhdtqxqgiyuhwpoqcjvf"
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# 注意：这里需要更新为有效的DeepSeek API密钥
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@ -17,6 +17,7 @@ from email.mime.base import MIMEBase
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from email import encoders
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import warnings
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import mimetypes
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import requests
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# 忽略oauth2client相关的所有警告
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warnings.filterwarnings('ignore', message='file_cache is unavailable when using oauth2client >= 4.0.0 or google-auth')
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@ -28,7 +29,7 @@ from apiclient import discovery
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from httplib2 import Http
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from oauth2client import file, client, tools
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from .models import GmailCredential, KnowledgeBase, KnowledgeBaseDocument, User, GmailTalentMapping, ChatHistory, GmailAttachment
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from .models import GmailCredential, KnowledgeBase, KnowledgeBaseDocument, User, GmailTalentMapping, ChatHistory, GmailAttachment, UserProfile
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logger = logging.getLogger(__name__)
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@ -1446,7 +1447,7 @@ class GmailIntegration:
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"""处理新收到的邮件"""
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try:
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# 导入所需模型
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from .models import GmailTalentMapping, GmailAttachment, KnowledgeBase, ChatHistory
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from .models import GmailTalentMapping, GmailAttachment, KnowledgeBase, ChatHistory, UserProfile
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# 获取邮件详情
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message = gmail_integration.gmail_service.users().messages().get(
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@ -1567,23 +1568,27 @@ class GmailIntegration:
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date_str = email_data.get('date', '')
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try:
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date_obj = datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S')
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# 不应用时区转换
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aware_date = date_obj
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# 确保时区处理正确
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from django.utils import timezone
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aware_date = timezone.make_aware(date_obj) if not timezone.is_aware(date_obj) else date_obj
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except (ValueError, TypeError):
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logger.warning(f"无法解析邮件日期: {date_str}，使用当前时间")
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aware_date = datetime.now()
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aware_date = timezone.now()
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# 查找适合的parent_id: 使用ID排序而非时间
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# 查找适合的parent_id: 使用创建时间排序
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try:
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previous_messages = ChatHistory.objects.filter(
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# 查找该对话中最新的消息
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latest_message = ChatHistory.objects.filter(
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conversation_id=conversation_id,
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is_deleted=False
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).order_by('-id')[:1]
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).order_by('-created_at').first()
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parent_id = None
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if previous_messages:
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parent_id = str(previous_messages[0].id)
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logger.info(f"找到父消息ID: {parent_id}")
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if latest_message:
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parent_id = str(latest_message.id)
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logger.info(f"找到最新消息ID作为parent_id: {parent_id}, 创建时间: {latest_message.created_at}")
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else:
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logger.info(f"对话 {conversation_id} 没有现有消息，不设置parent_id")
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except Exception as e:
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logger.error(f"查找父消息失败: {str(e)}")
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logger.error(traceback.format_exc())
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@ -1620,16 +1625,16 @@ class GmailIntegration:
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if attachment_records:
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metadata['message_attachments'] = attachment_records
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# 创建聊天记录，不指定时间
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# 使用之前查找到的parent_id和aware_date创建聊天记录
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chat_message = ChatHistory.objects.create(
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user=gmail_integration.user,
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knowledge_base=knowledge_base,
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conversation_id=conversation_id,
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parent_id=parent_id,
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role=role, # 使用上面确定的role变量，而不是硬编码为'assistant'
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parent_id=parent_id, # 使用之前查找到的parent_id
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role=role, # 使用上面确定的role变量
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content=f"[{email_data['subject']}] {email_data['body']}",
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metadata=metadata
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# 不设置created_at，使用数据库默认时间
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metadata=metadata,
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created_at=aware_date # 设置正确的创建时间
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)
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# 更新知识库文档
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@ -1695,6 +1700,85 @@ class GmailIntegration:
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logger.info(f"已创建系统通知记录: 用户 {gmail_integration.user.id} 的新Gmail消息")
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except Exception as notification_error:
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logger.error(f"创建系统通知记录失败: {str(notification_error)}")
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# 如果消息是达人发送的，并且用户启用了自动推荐回复功能，则生成推荐回复
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if role == 'user' and talent_mapping:
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try:
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# 检查用户是否启用了自动推荐回复功能
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user_profile, created = UserProfile.objects.get_or_create(user=gmail_integration.user)
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if user_profile.auto_recommend_reply:
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logger.info(f"用户 {gmail_integration.user.id} 已启用自动推荐回复功能，生成推荐回复")
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# 获取对话历史以传递给DeepSeek API
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conversation_messages = ChatHistory.objects.filter(
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conversation_id=conversation_id,
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is_deleted=False
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).order_by('created_at')
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# 构建对话历史
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conversation_history = []
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for message in conversation_messages:
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conversation_history.append({
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'role': 'user' if message.role == 'user' else 'assistant',
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'content': message.content
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})
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# 限制对话历史长度，只保留最近的5条消息，避免超出token限制
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recent_messages = conversation_history[-5:] if len(conversation_history) > 5 else conversation_history
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messages.extend(recent_messages)
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# 确保最后一条消息是用户消息，如果不是，添加一个提示
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if not recent_messages or recent_messages[-1]['role'] != 'user':
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# 添加一个系统消息作为用户的最后一条消息
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messages.append({
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"role": "user",
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"content": "请针对我之前的消息提供详细的回复建议。"
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})
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# 调用DeepSeek API生成推荐回复
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recommended_reply = self._get_recommended_reply_from_deepseek(conversation_history)
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if recommended_reply:
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# 创建推荐回复通知
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recommend_notification_data = {
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"type": "notification",
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"data": {
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"message_type": "recommended_reply",
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"conversation_id": conversation_id,
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"message": {
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"id": str(chat_message.id),
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"role": role,
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"content": f"[{email_data['subject']}] {email_data['body'][:100]}{'...' if len(email_data['body']) > 100 else ''}",
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"sender": sender_email,
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"subject": email_data['subject'],
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"recommended_reply": recommended_reply
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}
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}
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}
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# 发送推荐回复WebSocket通知
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async_to_sync(channel_layer.group_send)(
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f"notification_user_{gmail_integration.user.id}",
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recommend_notification_data
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)
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logger.info(f"已发送推荐回复通知: 用户 {gmail_integration.user.id}")
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# 创建推荐回复系统通知
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Notification.objects.create(
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sender=gmail_integration.user,
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receiver=gmail_integration.user,
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title="新推荐回复",
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content=f"系统为来自 {sender_email} 的邮件生成了推荐回复",
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type="system_notice",
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related_resource=conversation_id
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)
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logger.info(f"已创建推荐回复系统通知: 用户 {gmail_integration.user.id}")
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else:
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logger.warning(f"生成推荐回复失败: 用户 {gmail_integration.user.id}, 对话 {conversation_id}")
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except Exception as recommend_error:
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logger.error(f"处理推荐回复失败: {str(recommend_error)}")
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logger.error(traceback.format_exc())
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except Exception as ws_error:
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logger.error(f"发送WebSocket通知失败: {str(ws_error)}")
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logger.error(traceback.format_exc())
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@ -1708,6 +1792,89 @@ class GmailIntegration:
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logger.error(traceback.format_exc())
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return False
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def _get_recommended_reply_from_deepseek(self, conversation_history):
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"""调用DeepSeek V3 API生成推荐回复"""
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try:
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# 使用有效的API密钥
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api_key = "sk-xqbujijjqqmlmlvkhvxeogqjtzslnhdtqxqgiyuhwpoqcjvf"
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# 如果上面的密钥不正确，可以尝试从环境变量或数据库中获取
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# 从Django设置中获取密钥
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from django.conf import settings
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if hasattr(settings, 'DEEPSEEK_API_KEY') and settings.DEEPSEEK_API_KEY:
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api_key = settings.DEEPSEEK_API_KEY
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url = "https://api.siliconflow.cn/v1/chat/completions"
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# 直接使用默认系统消息，不进行复杂处理，尽量模仿文档示例
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system_message = {
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"role": "system",
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"content": "你是一位专业的电商客服和达人助手。你的任务是针对用户最近的消息生成一个有帮助、礼貌且详细的回复。即使用户消息很短或不明确，也必须提供有实质内容的回复。禁止返回空白内容。回复应该有至少100个字符。"
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}
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messages = [system_message]
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# 限制对话历史长度，只保留最近的5条消息，避免超出token限制
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recent_messages = conversation_history[-5:] if len(conversation_history) > 5 else conversation_history
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messages.extend(recent_messages)
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# 确保最后一条消息是用户消息，如果不是，添加一个提示
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if not recent_messages or recent_messages[-1]['role'] != 'user':
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# 添加一个系统消息作为用户的最后一条消息
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messages.append({
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"role": "user",
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"content": "请针对我之前的消息提供详细的回复建议。"
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})
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# 完全按照文档提供的参数格式构建请求
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payload = {
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"model": "deepseek-ai/DeepSeek-V3",
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"messages": messages,
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"stream": False,
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"max_tokens": 1024, # 增加token上限
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"temperature": 0.7, # 提高多样性
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"top_p": 0.9,
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"top_k": 50,
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"frequency_penalty": 0.5,
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"presence_penalty": 0.2, # 添加新参数
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"n": 1,
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"stop": [],
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"response_format": {
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"type": "text"
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}
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_key}"
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}
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logger.info(f"开始调用DeepSeek API生成推荐回复")
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response = requests.post(url, json=payload, headers=headers)
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if response.status_code != 200:
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logger.error(f"DeepSeek API调用失败: {response.status_code}, {response.text}")
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return None
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result = response.json()
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logger.debug(f"DeepSeek API返回: {result}")
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# 提取回复内容
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if 'choices' in result and len(result['choices']) > 0:
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reply = result['choices'][0]['message']['content']
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# 如果返回的内容为空，直接返回None
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if not reply or reply.strip() == '':
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logger.warning("DeepSeek API返回的回复内容为空")
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return None
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return reply
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logger.warning(f"DeepSeek API返回格式异常: {result}")
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return None
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except Exception as e:
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logger.error(f"调用DeepSeek API失败: {str(e)}")
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logger.error(traceback.format_exc())
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return None
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def get_attachment_by_conversation(self, conversation_id):
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"""获取特定对话的所有附件"""
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try:
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@ -0,0 +1,18 @@
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# Generated by Django 5.1.5 on 2025-04-11 04:37
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from django.db import migrations, models
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class Migration(migrations.Migration):
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dependencies = [
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('user_management', '0007_alter_gmailcredential_options_and_more'),
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]
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operations = [
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migrations.AddField(
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model_name='userprofile',
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name='auto_recommend_reply',
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field=models.BooleanField(default=False, help_text='是否启用自动推荐回复功能'),
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),
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]
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@ -396,12 +396,13 @@ class UserProfile(models.Model):
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user = models.OneToOneField(User, on_delete=models.CASCADE, related_name='profile')
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department = models.CharField(max_length=100, blank=True, help_text="部门")
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group = models.CharField(max_length=100, blank=True, help_text="小组")
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auto_recommend_reply = models.BooleanField(default=False, help_text="是否启用自动推荐回复功能")
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class Meta:
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db_table = 'user_profiles'
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def __str__(self):
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return f"{self.user.username}'s profile"
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return f"{self.user.username}的个人资料"
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class KnowledgeBasePermission(models.Model):
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"""知识库权限模型 - 实现知识库和用户的多对多关系"""
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@ -59,7 +59,8 @@ from .models import (
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KnowledgeBaseDocument,
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GmailCredential,
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GmailTalentMapping,
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GmailAttachment
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GmailAttachment,
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UserProfile
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)
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from .serializers import (
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UserSerializer,
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@ -1656,6 +1657,242 @@ class ChatHistoryViewSet(KnowledgeBasePermissionMixin, viewsets.ModelViewSet):
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'data': None
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}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
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@action(detail=False, methods=['get'], url_path='generate-recommended-reply')
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def generate_recommended_reply(self, request):
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"""获取达人消息并生成推荐回复"""
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try:
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conversation_id = request.query_params.get('conversation_id')
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if not conversation_id:
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return Response({
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'code': 400,
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'message': '缺少conversation_id参数',
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'data': None
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}, status=status.HTTP_400_BAD_REQUEST)
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# 获取对话历史，确保按时间顺序排序
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messages = self.get_queryset().filter(
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conversation_id=conversation_id,
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is_deleted=False
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).order_by('created_at')
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if not messages.exists():
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return Response({
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'code': 404,
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'message': '对话不存在',
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'data': None
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}, status=status.HTTP_404_NOT_FOUND)
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# 获取最新的消息，检查是否是达人发送的
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latest_message = messages.last()
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# 如果最后一条不是用户消息，尝试查找最新的用户消息
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if latest_message.role != 'user':
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user_messages = messages.filter(role='user')
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if user_messages.exists():
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latest_message = user_messages.order_by('-created_at').first()
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else:
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return Response({
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'code': 400,
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'message': '对话中没有达人发送的消息，无法生成推荐回复',
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'data': None
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}, status=status.HTTP_400_BAD_REQUEST)
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# 提取对话历史以传递给DeepSeek API
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conversation_history = []
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for message in messages:
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conversation_history.append({
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'role': 'user' if message.role == 'user' else 'assistant',
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'content': message.content
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})
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# 调用DeepSeek V3 API生成推荐回复
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recommended_reply = self._get_recommended_reply_from_deepseek(conversation_history)
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if not recommended_reply:
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return Response({
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'code': 400, # 改为400，表示可以重试
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'message': 'API暂时无法生成推荐回复，请稍后再试',
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'data': {
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'conversation_id': conversation_id,
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'latest_message': {
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'id': str(latest_message.id),
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'content': latest_message.content,
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'role': latest_message.role,
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'created_at': latest_message.created_at.strftime('%Y-%m-%d %H:%M:%S')
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},
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'recommended_reply': None
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}
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}, status=status.HTTP_400_BAD_REQUEST)
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return Response({
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'code': 200,
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'message': '生成推荐回复成功',
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'data': {
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'conversation_id': conversation_id,
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'latest_message': {
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'id': str(latest_message.id),
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'content': latest_message.content,
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'role': latest_message.role,
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'created_at': latest_message.created_at.strftime('%Y-%m-%d %H:%M:%S')
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},
|
||||
'recommended_reply': recommended_reply
|
||||
}
|
||||
})
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"生成推荐回复失败: {str(e)}")
|
||||
logger.error(traceback.format_exc())
|
||||
return Response({
|
||||
'code': 500,
|
||||
'message': f"生成推荐回复失败: {str(e)}",
|
||||
'data': None
|
||||
}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
|
||||
|
||||
def _get_recommended_reply_from_deepseek(self, conversation_history):
|
||||
"""调用DeepSeek V3 API生成推荐回复"""
|
||||
try:
|
||||
# 使用有效的API密钥
|
||||
api_key = "sk-xqbujijjqqmlmlvkhvxeogqjtzslnhdtqxqgiyuhwpoqcjvf"
|
||||
# 如果上面的密钥不正确，可以尝试从环境变量或数据库中获取
|
||||
# 从Django设置中获取密钥
|
||||
from django.conf import settings
|
||||
if hasattr(settings, 'DEEPSEEK_API_KEY') and settings.DEEPSEEK_API_KEY:
|
||||
api_key = settings.DEEPSEEK_API_KEY
|
||||
|
||||
url = "https://api.siliconflow.cn/v1/chat/completions"
|
||||
|
||||
# 直接使用默认系统消息，不进行复杂处理，尽量模仿文档示例
|
||||
system_message = {
|
||||
"role": "system",
|
||||
"content": "你是一位专业的电商客服和达人助手。你的任务是针对用户最近的消息生成一个有帮助、礼貌且详细的回复。即使用户消息很短或不明确，也必须提供有实质内容的回复。禁止返回空白内容。回复应该有至少100个字符。"
|
||||
}
|
||||
|
||||
messages = [system_message]
|
||||
|
||||
|
||||
# 限制对话历史长度，只保留最近的5条消息，避免超出token限制
|
||||
recent_messages = conversation_history[-5:] if len(conversation_history) > 5 else conversation_history
|
||||
messages.extend(recent_messages)
|
||||
|
||||
# 确保最后一条消息是用户消息，如果不是，添加一个提示
|
||||
if not recent_messages or recent_messages[-1]['role'] != 'user':
|
||||
# 添加一个系统消息作为用户的最后一条消息
|
||||
messages.append({
|
||||
"role": "user",
|
||||
"content": "请针对我之前的消息提供详细的回复建议。"
|
||||
})
|
||||
|
||||
# 完全按照文档提供的参数格式构建请求
|
||||
payload = {
|
||||
"model": "deepseek-ai/DeepSeek-V3",
|
||||
"messages": messages,
|
||||
"stream": False,
|
||||
"max_tokens": 1024, # 增加token上限
|
||||
"temperature": 0.7, # 提高多样性
|
||||
"top_p": 0.9,
|
||||
"top_k": 50,
|
||||
"frequency_penalty": 0.5,
|
||||
"presence_penalty": 0.2, # 添加新参数
|
||||
"n": 1,
|
||||
"stop": [],
|
||||
"response_format": {
|
||||
"type": "text"
|
||||
}
|
||||
}
|
||||
|
||||
headers = {
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": f"Bearer {api_key}"
|
||||
}
|
||||
|
||||
logger.info(f"开始调用DeepSeek API生成推荐回复")
|
||||
response = requests.post(url, json=payload, headers=headers)
|
||||
|
||||
if response.status_code != 200:
|
||||
logger.error(f"DeepSeek API调用失败: {response.status_code}, {response.text}")
|
||||
return None
|
||||
|
||||
result = response.json()
|
||||
logger.debug(f"DeepSeek API返回: {result}")
|
||||
|
||||
# 提取回复内容
|
||||
if 'choices' in result and len(result['choices']) > 0:
|
||||
reply = result['choices'][0]['message']['content']
|
||||
# 如果返回的内容为空，直接返回None
|
||||
if not reply or reply.strip() == '':
|
||||
logger.warning("DeepSeek API返回的回复内容为空")
|
||||
return None
|
||||
return reply
|
||||
|
||||
logger.warning(f"DeepSeek API返回格式异常: {result}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"调用DeepSeek API失败: {str(e)}")
|
||||
logger.error(traceback.format_exc())
|
||||
return None
|
||||
|
||||
def _generate_fallback_reply(self, messages):
|
||||
"""此功能已禁用，不再生成备用回复"""
|
||||
return None
|
||||
|
||||
@action(detail=False, methods=['post'], url_path='auto-recommend-reply')
|
||||
def auto_recommend_reply(self, request):
|
||||
"""
|
||||
设置自动推荐回复功能
|
||||
当收到达人消息时，自动生成推荐回复并通过WebSocket发送通知
|
||||
"""
|
||||
try:
|
||||
# 获取是否启用自动推荐回复的设置
|
||||
enable_auto_recommend = request.data.get('enable_auto_recommend', False)
|
||||
user = request.user
|
||||
|
||||
# 更新用户配置
|
||||
user_profile, created = UserProfile.objects.get_or_create(user=user)
|
||||
user_profile.auto_recommend_reply = enable_auto_recommend
|
||||
user_profile.save()
|
||||
|
||||
return Response({
|
||||
'code': 200,
|
||||
'message': '设置自动推荐回复成功',
|
||||
'data': {
|
||||
'enable_auto_recommend': enable_auto_recommend
|
||||
}
|
||||
})
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"设置自动推荐回复失败: {str(e)}")
|
||||
logger.error(traceback.format_exc())
|
||||
return Response({
|
||||
'code': 500,
|
||||
'message': f"设置自动推荐回复失败: {str(e)}",
|
||||
'data': None
|
||||
}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
|
||||
|
||||
@action(detail=False, methods=['get'], url_path='get-auto-recommend-setting')
|
||||
def get_auto_recommend_setting(self, request):
|
||||
"""获取自动推荐回复设置"""
|
||||
try:
|
||||
user = request.user
|
||||
user_profile, created = UserProfile.objects.get_or_create(user=user)
|
||||
|
||||
return Response({
|
||||
'code': 200,
|
||||
'message': '获取自动推荐回复设置成功',
|
||||
'data': {
|
||||
'enable_auto_recommend': getattr(user_profile, 'auto_recommend_reply', False)
|
||||
}
|
||||
})
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"获取自动推荐回复设置失败: {str(e)}")
|
||||
logger.error(traceback.format_exc())
|
||||
return Response({
|
||||
'code': 500,
|
||||
'message': f"获取自动推荐回复设置失败: {str(e)}",
|
||||
'data': None
|
||||
}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
|
||||
|
||||
|
||||
class KnowledgeBaseViewSet(KnowledgeBasePermissionMixin, viewsets.ModelViewSet):
|
||||
serializer_class = KnowledgeBaseSerializer
|
||||
|
||||
Loading…
Reference in New Issue
Block a user