From c250180ef73ec16963790f1c814e0db365409f80 Mon Sep 17 00:00:00 2001
From: Tiger Ren <tigeren@live.com>
Date: Wed, 21 Aug 2024 17:42:32 +0800
Subject: [PATCH] added error handling

---
 analysis_action_result.py | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/analysis_action_result.py b/analysis_action_result.py
index fec454a..3b829a1 100644
--- a/analysis_action_result.py
+++ b/analysis_action_result.py
@@ -1,7 +1,10 @@
 import re
 import pandas as pd
+import math
 from AgentProxy import AgentProxy 
 
+def is_none_or_nan(variable):
+    return variable is None or (isinstance(variable, (int, float)) and math.isnan(variable))
 
 result_category_list = [
     "完成需求确认与收集",
@@ -22,7 +25,10 @@ data = []
 
 for index, row in df.iterrows():
     text = row["行动结果"]
-    # print(text)
+    if is_none_or_nan(text):
+        print(f"index{index} ")
+        continue
+
     action_pattern = re.compile(r'\*\*销售动作\*\*：(.+?)\n')
     category_pattern = re.compile(r'\*\*销售动作归类\*\*：(.+?)\n')
     result_pattern = re.compile(r'\*\*销售动作行动结果\*\*：(.+?)\n')
@@ -33,9 +39,9 @@ for index, row in df.iterrows():
     results = result_pattern.findall(text)
     abstract_results = abstract_result_pattern.findall(text)
     if (len(actions) == len(categories) and len(actions) == len(results) and len(actions) == len(abstract_results)):
-        print("index result compliance: true")
+        print(f"index{index} result compliance: true")
     else:
-        print("index result compliance: false")
+        print(f"index{index} result compliance: false")
         continue  
 
     # Combine into a list of dictionaries