e8235bf3ca
- 后端新增 JD-R（工作要求-资源）理论维度数据生成，包含工作要求、工作资源、
个人资源、中介变量共 16 个新特征列
- 新增 JD-R 分析服务与 API（维度统计、倦怠投入分析、双路径中介分析、
分组轮廓、风险分布）
- 新增 SHAP 可解释性分析模块（全局重要性、局部解释、特征交互、依赖图）
- 预测服务增加风险分类模型加载与概率预测能力
- 前端新增 JD-R 分析页面（JDRAnalysis.vue），含雷达图、散点图、路径分析等可视化
- 预测页面增加风险概率展示与 SHAP 特征解释
- 路由与导航菜单同步更新
51 lines
1.9 KiB
Python
51 lines
1.9 KiB
Python
from flask import Blueprint, jsonify, request
|
|
|
|
from services.shap_service import shap_service
|
|
|
|
shap_bp = Blueprint('shap', __name__, url_prefix='/api/shap')
|
|
|
|
|
|
@shap_bp.route('/global', methods=['GET'])
|
|
def get_global_importance():
|
|
try:
|
|
model_type = request.args.get('model', 'random_forest')
|
|
result = shap_service.get_global_importance(model_type)
|
|
return jsonify({'code': 200, 'message': 'success', 'data': result})
|
|
except Exception as e:
|
|
return jsonify({'code': 500, 'message': str(e), 'data': None}), 500
|
|
|
|
|
|
@shap_bp.route('/local', methods=['POST'])
|
|
def get_local_explanation():
|
|
try:
|
|
data = request.get_json()
|
|
if not data:
|
|
return jsonify({'code': 400, 'message': 'Request body is required', 'data': None}), 400
|
|
model_type = data.get('model_type', 'random_forest')
|
|
result = shap_service.get_local_explanation(data, model_type)
|
|
return jsonify({'code': 200, 'message': 'success', 'data': result})
|
|
except Exception as e:
|
|
return jsonify({'code': 500, 'message': str(e), 'data': None}), 500
|
|
|
|
|
|
@shap_bp.route('/interaction', methods=['GET'])
|
|
def get_interactions():
|
|
try:
|
|
model_type = request.args.get('model', 'random_forest')
|
|
top_n = int(request.args.get('top_n', 10))
|
|
result = shap_service.get_interactions(model_type, top_n)
|
|
return jsonify({'code': 200, 'message': 'success', 'data': result})
|
|
except Exception as e:
|
|
return jsonify({'code': 500, 'message': str(e), 'data': None}), 500
|
|
|
|
|
|
@shap_bp.route('/dependence', methods=['GET'])
|
|
def get_dependence():
|
|
try:
|
|
feature = request.args.get('feature', '月均加班时长')
|
|
model_type = request.args.get('model', 'random_forest')
|
|
result = shap_service.get_dependence(feature, model_type)
|
|
return jsonify({'code': 200, 'message': 'success', 'data': result})
|
|
except Exception as e:
|
|
return jsonify({'code': 500, 'message': str(e), 'data': None}), 500
|