diff --git a/Rating/RatingModel.py b/Rating/RatingModel.py
index 9801cbb..fcb9370 100644
--- a/Rating/RatingModel.py
+++ b/Rating/RatingModel.py
@@ -213,4 +213,4 @@ class RatingModel:
 if __name__ == '__main__':
     data = read_json_file(file_path('/static/test_data/demo01.json'))
     model = RatingModel(data)
-    # model.save_result()
+    model.save_result()
diff --git a/Rating/scripts/financial_score.py b/Rating/scripts/financial_score.py
index 3b8c106..fe012b3 100644
--- a/Rating/scripts/financial_score.py
+++ b/Rating/scripts/financial_score.py
@@ -54,9 +54,9 @@ def financial_score(level_1_industry, param2):
     fin4 = ['营业增长率', '总资产增长率', '技术投入比率']
 
     result['盈利能力'] = dict((key, value) for key, value in scores.items() if key in fin1)
-    result['资产质量'] = dict((key, value) for key, value in scores.items() if key in fin1)
-    result['债务风险'] = dict((key, value) for key, value in scores.items() if key in fin1)
-    result['经营增长'] = dict((key, value) for key, value in scores.items() if key in fin1)
+    result['资产质量'] = dict((key, value) for key, value in scores.items() if key in fin2)
+    result['债务风险'] = dict((key, value) for key, value in scores.items() if key in fin3)
+    result['经营增长'] = dict((key, value) for key, value in scores.items() if key in fin4)
 
     df_scores = pd.DataFrame([scores])
     result['盈利能力']['合计'] = float(df_scores[fin1].sum(axis=1).values[0])
diff --git a/static/test_data/demo01.json b/static/test_data/demo01.json
index 27d55b1..600ede4 100644
--- a/static/test_data/demo01.json
+++ b/static/test_data/demo01.json
@@ -1,6 +1,6 @@
 {
-  "评价ID": "bR2n0mV0",
-  "企业ID": "cqqHE80f",
+  "评价ID": "kSVoCeJ1",
+  "企业ID": "mKJreZRw",
   "企业名称": "远东资信评估有限公司",
   "行业选择": ["制造业", "电子工业"],
   "评价年度": "2021年",