Merge #21 into develop from feature/emotion-engine
feature/情绪引擎 * feature/emotion-engine: (7 commits squashed) - [feature]Emotion Engine Development - [feature]Emotion Engine Development - Merge branch 'feature/emotion-engine' of codeup.aliyun.com:redbearai/python/redbear-mem-open into feature/emotion-engine - [fix]1.Fix the front-end files;2.Cache Management Deletion;3.Delete "check_code.py" - [fix]1.Fix the front-end files;2.Cache Management Deletion;3.Delete "check_code.py" - Merge branch 'feature/emotion-engine' of codeup.aliyun.com:redbearai/python/redbear-mem-open into feature/emotion-engine - [fix]fix vite.config.ts Signed-off-by: 乐力齐 <accounts_690c7b0af9007d7e338af636@mail.teambition.com> Commented-by: aliyun6762716068 <accounts_68cb7c6b61f5dcc4200d6251@mail.teambition.com> Commented-by: 乐力齐 <accounts_690c7b0af9007d7e338af636@mail.teambition.com> Reviewed-by: aliyun6762716068 <accounts_68cb7c6b61f5dcc4200d6251@mail.teambition.com> Merged-by: aliyun6762716068 <accounts_68cb7c6b61f5dcc4200d6251@mail.teambition.com> CR-link: https://codeup.aliyun.com/redbearai/python/redbear-mem-open/change/21
This commit is contained in:
乐力齐
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api/app/controllers/emotion_controller.py
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api/app/controllers/emotion_controller.py
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# -*- coding: utf-8 -*-
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"""情绪分析控制器模块
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本模块提供情绪分析相关的API端点，包括情绪标签、词云、健康指数和个性化建议。
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Routes:
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POST /emotion/tags - 获取情绪标签统计
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POST /emotion/wordcloud - 获取情绪词云数据
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POST /emotion/health - 获取情绪健康指数
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POST /emotion/suggestions - 获取个性化情绪建议
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"""
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from fastapi import APIRouter, Depends, HTTPException, status
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from sqlalchemy.orm import Session
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from app.core.response_utils import success, fail
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from app.core.error_codes import BizCode
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from app.dependencies import get_current_user, get_db
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from app.models.user_model import User
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from app.schemas.response_schema import ApiResponse
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from app.schemas.emotion_schema import (
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EmotionTagsRequest,
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EmotionWordcloudRequest,
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EmotionHealthRequest,
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EmotionSuggestionsRequest
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)
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from app.services.emotion_analytics_service import EmotionAnalyticsService
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from app.core.logging_config import get_api_logger
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# 获取API专用日志器
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api_logger = get_api_logger()
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router = APIRouter(
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prefix="/memory/emotion",
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tags=["Emotion Analysis"],
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dependencies=[Depends(get_current_user)] # 所有路由都需要认证
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)
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# 初始化情绪分析服务uv
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emotion_service = EmotionAnalyticsService()
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@router.post("/tags", response_model=ApiResponse)
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async def get_emotion_tags(
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request: EmotionTagsRequest,
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current_user: User = Depends(get_current_user),
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):
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try:
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api_logger.info(
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f"用户 {current_user.username} 请求获取情绪标签统计",
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extra={
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"group_id": request.group_id,
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"emotion_type": request.emotion_type,
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"start_date": request.start_date,
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"end_date": request.end_date,
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"limit": request.limit
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}
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)
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# 调用服务层
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data = await emotion_service.get_emotion_tags(
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end_user_id=request.group_id,
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emotion_type=request.emotion_type,
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start_date=request.start_date,
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end_date=request.end_date,
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limit=request.limit
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)
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api_logger.info(
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"情绪标签统计获取成功",
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extra={
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"group_id": request.group_id,
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"total_count": data.get("total_count", 0),
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"tags_count": len(data.get("tags", []))
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}
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)
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return success(data=data, msg="情绪标签获取成功")
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except Exception as e:
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api_logger.error(
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f"获取情绪标签统计失败: {str(e)}",
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extra={"group_id": request.group_id},
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exc_info=True
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)
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"获取情绪标签统计失败: {str(e)}"
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)
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@router.post("/wordcloud", response_model=ApiResponse)
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async def get_emotion_wordcloud(
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request: EmotionWordcloudRequest,
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current_user: User = Depends(get_current_user),
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):
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try:
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api_logger.info(
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f"用户 {current_user.username} 请求获取情绪词云数据",
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extra={
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"group_id": request.group_id,
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"emotion_type": request.emotion_type,
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"limit": request.limit
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}
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)
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# 调用服务层
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data = await emotion_service.get_emotion_wordcloud(
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end_user_id=request.group_id,
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emotion_type=request.emotion_type,
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limit=request.limit
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)
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api_logger.info(
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"情绪词云数据获取成功",
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extra={
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"group_id": request.group_id,
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"total_keywords": data.get("total_keywords", 0)
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}
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)
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return success(data=data, msg="情绪词云获取成功")
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except Exception as e:
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api_logger.error(
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f"获取情绪词云数据失败: {str(e)}",
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extra={"group_id": request.group_id},
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exc_info=True
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)
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"获取情绪词云数据失败: {str(e)}"
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)
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@router.post("/health", response_model=ApiResponse)
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async def get_emotion_health(
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request: EmotionHealthRequest,
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current_user: User = Depends(get_current_user),
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):
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try:
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# 验证时间范围参数
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if request.time_range not in ["7d", "30d", "90d"]:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="时间范围参数无效，必须是 7d、30d 或 90d"
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)
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api_logger.info(
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f"用户 {current_user.username} 请求获取情绪健康指数",
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extra={
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"group_id": request.group_id,
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"time_range": request.time_range
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}
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)
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# 调用服务层
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data = await emotion_service.calculate_emotion_health_index(
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end_user_id=request.group_id,
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time_range=request.time_range
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)
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api_logger.info(
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"情绪健康指数获取成功",
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extra={
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"group_id": request.group_id,
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"health_score": data.get("health_score", 0),
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"level": data.get("level", "未知")
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}
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)
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return success(data=data, msg="情绪健康指数获取成功")
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except HTTPException:
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raise
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except Exception as e:
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api_logger.error(
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f"获取情绪健康指数失败: {str(e)}",
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extra={"group_id": request.group_id},
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exc_info=True
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)
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"获取情绪健康指数失败: {str(e)}"
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)
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@router.post("/suggestions", response_model=ApiResponse)
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async def get_emotion_suggestions(
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request: EmotionSuggestionsRequest,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user),
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):
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"""获取个性化情绪建议
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Args:
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request: 包含 group_id 和可选的 config_id
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db: 数据库会话
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current_user: 当前用户
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Returns:
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个性化情绪建议响应
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"""
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try:
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# 验证 config_id（如果提供）
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config_id = request.config_id
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if config_id is not None:
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from app.controllers.memory_agent_controller import validate_config_id
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try:
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config_id = validate_config_id(config_id, db)
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except ValueError as e:
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return fail(BizCode.INVALID_PARAMETER, "配置ID无效", str(e))
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api_logger.info(
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f"用户 {current_user.username} 请求获取个性化情绪建议",
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extra={
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"group_id": request.group_id,
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"config_id": config_id
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}
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)
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# 调用服务层
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data = await emotion_service.generate_emotion_suggestions(
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end_user_id=request.group_id,
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config_id=config_id
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)
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api_logger.info(
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"个性化建议获取成功",
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extra={
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"group_id": request.group_id,
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"suggestions_count": len(data.get("suggestions", []))
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}
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)
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return success(data=data, msg="个性化建议获取成功")
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except Exception as e:
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api_logger.error(
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f"获取个性化建议失败: {str(e)}",
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extra={"group_id": request.group_id},
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exc_info=True
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)
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"获取个性化建议失败: {str(e)}"
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)
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