1.优化路径分析，展示对应的中文显示，按固定格式进行排序

api/api_v1/endpoints/query.py

@@ -1401,16 +1401,35 @@ async def trace_model_sql(
     if df.empty:
         return schemas.Msg(code=-9, msg='无数据', data=None)
     chain_dict = defaultdict(dict)
+    event_num_dict={}
     nodes = {'流失'}
+    name_list=analysis.events['event_namesdes']
+    name_dict={}
+    for i in name_list:
+        name_dict[i['event_name']]=i['event_desc']
     for event_names, count in zip(df['event_chain'], df['values']):
+        fmt_keys=[]
         chain_len = len(event_names)
         for i, event_name in enumerate(event_names):
             if i >= 10:
                 continue
             next_event = event_names[i + 1] if i < chain_len - 1 else '流失'
-            key = (f'{event_name}{i}', f'{next_event}{i + 1}')
+            #按对应的中文名显示
+            event_namess=name_dict.get(event_name,event_name)
+            next_eventss=name_dict.get(next_event,next_event)
+            key = (f'{event_namess}-{i}', f'{next_eventss}-{i + 1}')
+            #key = (f'{event_name}', f'{next_event}')
             nodes.update(key)
             chain_dict[i][key] = chain_dict[i].setdefault(key, 0) + count
+            keys = list(key)
+            for true_key in keys:
+                if true_key in fmt_keys:
+                    continue
+                if true_key in event_num_dict:
+                    event_num_dict[true_key] += count
+                else:
+                    event_num_dict[true_key] = count
+                fmt_keys.append(true_key)
 
     links = []
     for _, items in chain_dict.items():
@@ -1420,15 +1439,30 @@ async def trace_model_sql(
                 "target": keys[1],
                 "value": val
             })
-    # nodes = set()
+    node=[ item for item in nodes]
-    # for item in links:
+    node.sort()
-    #     nodes.update((
+    #按固定的首尾排序
-    #         item['source'],
+    first = []
-    #         item['target'])
+    trail = []
-    #     )
+    nodes = []
+    for i in node:
+        if analysis.events['source_event']['eventDesc'] in i:
+            first.append(i)
+        elif '流失' in i:
+            trail.append(i)
+        else:
+            nodes.append(i)
+    first.sort(reverse=True)
+    for i in first:
+        nodes.insert(0, i)
+    for i in trail:
+        nodes.append(i)
+
     data = {
+        #'nodes': [{'name': item} for item in nodes],
         'nodes': [{'name': item} for item in nodes],
         'links': links,
+        #'event_num':event_num_dict,
         'start_date': res['start_date'],
         'end_date': res['end_date'],
         'time_particle': res['time_particle']