修改财务得分结构

Rating/scripts/financial_score.py

@@ -1,3 +1,5 @@
+import pandas as pd
+
 from Rating.db import find_threshold
 from common.scripts import file_path, read_json_file
 
@@ -43,9 +45,28 @@ def financial_score(level_1_industry, param2):
         else:
             score = 0
         scores[key] = round(score, 2)
-    scores['合计'] = round(sum(scores.values()), 2)
 
-    return scores
+    result = dict()
+
+    fin1 = ['净资产收益率', '总资产报酬率']
+    fin2 = ['总资产周转率', '应收账款周转率', '存货周转率']
+    fin3 = ['资产负债率', '已获利息倍数', '速动比率']
+    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)
+
+    df_scores = pd.DataFrame([scores])
+    result['盈利能力']['合计'] = float(df_scores[fin1].sum(axis=1).values[0])
+    result['资产质量']['合计'] = float(df_scores[fin2].sum(axis=1).values[0])
+    result['债务风险']['合计'] = float(df_scores[fin3].sum(axis=1).values[0])
+    result['经营增长']['合计'] = float(df_scores[fin4].sum(axis=1).values[0])
+
+    result['合计'] = round(sum(scores.values()), 2)
+
+    return result
 
 
 def linear_correlation_type(value, standard_score, refer1, refer2):

static/test_data/demo01.json

@@ -1,6 +1,6 @@
 {
-  "评价ID": "kSVoCeJ1",
-  "企业ID": "mKJreZRw",
+  "评价ID": "bR2n0mV0",
+  "企业ID": "cqqHE80f",
   "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",