update pay function

app.py

@@ -11682,9 +11682,9 @@ def get_value_chain_analysis(company_code):
 @app.route('/api/company/value-chain/related-companies', methods=['GET'])
 def get_related_companies_by_node():
     """
-    根据产业链节点名称查询相关公司
+    根据产业链节点名称查询相关公司（结合nodes和flows表）
     参数: node_name - 节点名称（如 "中芯国际"、"EDA/IP"等）
-    返回: 包含该节点的所有公司列表（去重）
+    返回: 包含该节点的所有公司列表，附带节点层级、类型、关系描述等信息
     """
     try:
         node_name = request.args.get('node_name')
@@ -11695,29 +11695,88 @@ def get_related_companies_by_node():
                 'error': '缺少必需参数 node_name'
             }), 400
 
-        # 查询包含该节点的所有公司
+        # 查询包含该节点的所有公司及其节点信息
         query = text("""
             SELECT DISTINCT
                 n.company_code as stock_code,
                 s.SECNAME as stock_name,
-                s.ORGNAME as company_name
+                s.ORGNAME as company_name,
+                n.node_level,
+                n.node_type,
+                n.node_description,
+                n.importance_score,
+                n.market_share,
+                n.dependency_degree
             FROM company_value_chain_nodes n
             LEFT JOIN ea_stocklist s ON n.company_code = s.SECCODE
             WHERE n.node_name = :node_name
-            ORDER BY n.company_code
+            ORDER BY n.importance_score DESC, n.company_code
         """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, {'node_name': node_name}).fetchall()
+            nodes_result = conn.execute(query, {'node_name': node_name}).fetchall()
 
         # 构建返回数据
         companies = []
-        for row in result:
-            companies.append({
+        for row in nodes_result:
+            company_data = {
                 'stock_code': row.stock_code,
                 'stock_name': row.stock_name or row.stock_code,
-                'company_name': row.company_name
-            })
+                'company_name': row.company_name,
+                'node_info': {
+                    'node_level': row.node_level,
+                    'node_type': row.node_type,
+                    'node_description': row.node_description,
+                    'importance_score': row.importance_score,
+                    'market_share': format_decimal(row.market_share),
+                    'dependency_degree': format_decimal(row.dependency_degree)
+                },
+                'relationships': []
+            }
+
+            # 查询该节点在该公司产业链中的流向关系
+            flows_query = text("""
+                SELECT
+                    source_node,
+                    source_type,
+                    source_level,
+                    target_node,
+                    target_type,
+                    target_level,
+                    flow_type,
+                    relationship_desc,
+                    flow_value,
+                    flow_ratio
+                FROM company_value_chain_flows
+                WHERE company_code = :company_code
+                  AND (source_node = :node_name OR target_node = :node_name)
+                ORDER BY flow_ratio DESC
+                LIMIT 5
+            """)
+
+            with engine.connect() as conn:
+                flows_result = conn.execute(flows_query, {
+                    'company_code': row.stock_code,
+                    'node_name': node_name
+                }).fetchall()
+
+            # 添加流向关系信息
+            for flow in flows_result:
+                # 判断节点在流向中的角色
+                is_source = (flow.source_node == node_name)
+
+                relationship = {
+                    'role': 'source' if is_source else 'target',
+                    'connected_node': flow.target_node if is_source else flow.source_node,
+                    'connected_type': flow.target_type if is_source else flow.source_type,
+                    'connected_level': flow.target_level if is_source else flow.source_level,
+                    'flow_type': flow.flow_type,
+                    'relationship_desc': flow.relationship_desc,
+                    'flow_ratio': format_decimal(flow.flow_ratio)
+                }
+                company_data['relationships'].append(relationship)
+
+            companies.append(company_data)
 
         return jsonify({
             'success': True,