add error message

main.py

@@ -110,50 +110,54 @@ def sort_dict(obj):
         return obj
 
 def parse_list_file(link, output_directory):
-    with concurrent.futures.ThreadPoolExecutor() as executor:
-        results= list(executor.map(parse_and_convert_to_dataframe, [link]))  # 使用executor.map并行处理链接, 得到(df, rules)元组的列表
-        dfs = [df for df, rules in results]   # 提取df的内容
-        rules_list = [rules for df, rules in results]  # 提取逻辑规则rules的内容
-        df = pd.concat(dfs, ignore_index=True)  # 拼接为一个DataFrame
-    df = df[~df['pattern'].str.contains('#')].reset_index(drop=True)  # 删除pattern中包含#号的行
-    df = df[df['pattern'].isin(MAP_DICT.keys())].reset_index(drop=True)  # 删除不在字典中的pattern
-    df = df.drop_duplicates().reset_index(drop=True)  # 删除重复行
-    df['pattern'] = df['pattern'].replace(MAP_DICT)  # 替换pattern为字典中的值
-    os.makedirs(output_directory, exist_ok=True)  # 创建自定义文件夹
+    try:
+        with concurrent.futures.ThreadPoolExecutor() as executor:
+            results= list(executor.map(parse_and_convert_to_dataframe, [link]))  # 使用executor.map并行处理链接, 得到(df, rules)元组的列表
+            dfs = [df for df, rules in results]   # 提取df的内容
+            rules_list = [rules for df, rules in results]  # 提取逻辑规则rules的内容
+            df = pd.concat(dfs, ignore_index=True)  # 拼接为一个DataFrame
+        df = df[~df['pattern'].str.contains('#')].reset_index(drop=True)  # 删除pattern中包含#号的行
+        df = df[df['pattern'].isin(MAP_DICT.keys())].reset_index(drop=True)  # 删除不在字典中的pattern
+        df = df.drop_duplicates().reset_index(drop=True)  # 删除重复行
+        df['pattern'] = df['pattern'].replace(MAP_DICT)  # 替换pattern为字典中的值
+        os.makedirs(output_directory, exist_ok=True)  # 创建自定义文件夹
 
-    result_rules = {"version": 1, "rules": []}
-    domain_entries = []
-    for pattern, addresses in df.groupby('pattern')['address'].apply(list).to_dict().items():
-        if pattern == 'domain_suffix':
-            rule_entry = {pattern: [address.strip() for address in addresses]}
-            result_rules["rules"].append(rule_entry)
-            # domain_entries.extend([address.strip() for address in addresses])  # 1.9以下的版本需要额外处理 domain_suffix
-        elif pattern == 'domain':
-            domain_entries.extend([address.strip() for address in addresses])
-        else:
-            rule_entry = {pattern: [address.strip() for address in addresses]}
-            result_rules["rules"].append(rule_entry)
-    # 删除 'domain_entries' 中的重复值
-    domain_entries = list(set(domain_entries))
-    if domain_entries:
-        result_rules["rules"].insert(0, {'domain': domain_entries})
+        result_rules = {"version": 1, "rules": []}
+        domain_entries = []
+        for pattern, addresses in df.groupby('pattern')['address'].apply(list).to_dict().items():
+            if pattern == 'domain_suffix':
+                rule_entry = {pattern: [address.strip() for address in addresses]}
+                result_rules["rules"].append(rule_entry)
+                # domain_entries.extend([address.strip() for address in addresses])  # 1.9以下的版本需要额外处理 domain_suffix
+            elif pattern == 'domain':
+                domain_entries.extend([address.strip() for address in addresses])
+            else:
+                rule_entry = {pattern: [address.strip() for address in addresses]}
+                result_rules["rules"].append(rule_entry)
+        # 删除 'domain_entries' 中的重复值
+        domain_entries = list(set(domain_entries))
+        if domain_entries:
+            result_rules["rules"].insert(0, {'domain': domain_entries})
 
-    # 处理逻辑规则
-    """
-    if rules_list[0] != "[]":
-        result_rules["rules"].extend(rules_list[0])
-    """
+        # 处理逻辑规则
+        """
+        if rules_list[0] != "[]":
+            result_rules["rules"].extend(rules_list[0])
+        """
 
-    # 使用 output_directory 拼接完整路径
-    file_name = os.path.join(output_directory, f"{os.path.basename(link).split('.')[0]}.json")
-    with open(file_name, 'w', encoding='utf-8') as output_file:
-        result_rules_str = json.dumps(sort_dict(result_rules), ensure_ascii=False, indent=2)
-        result_rules_str = result_rules_str.replace('\\\\', '\\')
-        output_file.write(result_rules_str)
+        # 使用 output_directory 拼接完整路径
+        file_name = os.path.join(output_directory, f"{os.path.basename(link).split('.')[0]}.json")
+        with open(file_name, 'w', encoding='utf-8') as output_file:
+            result_rules_str = json.dumps(sort_dict(result_rules), ensure_ascii=False, indent=2)
+            result_rules_str = result_rules_str.replace('\\\\', '\\')
+            output_file.write(result_rules_str)
 
-    srs_path = file_name.replace(".json", ".srs")
-    os.system(f"sing-box rule-set compile --output {srs_path} {file_name}")
-    return file_name
+        srs_path = file_name.replace(".json", ".srs")
+        os.system(f"sing-box rule-set compile --output {srs_path} {file_name}")
+        return file_name
+    except:
+        print(f'获取链接出错，已跳过：{link}')
+        pass
 
 # 读取 links.txt 中的每个链接并生成对应的 JSON 文件
 with open("../links.txt", 'r') as links_file: