From ab634e5c63fb0340b7e2c8a0c806cb24cda5ee2d Mon Sep 17 00:00:00 2001
From: dongxiaoyan <dongxiaoyan@zdjizhi.com>
Date: Mon, 29 Mar 2021 09:30:27 +0800
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---
 04-CustomLibrary/Custometest/Schema.py | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/04-CustomLibrary/Custometest/Schema.py b/04-CustomLibrary/Custometest/Schema.py
index 524878c..858b03b 100644
--- a/04-CustomLibrary/Custometest/Schema.py
+++ b/04-CustomLibrary/Custometest/Schema.py
@@ -3,7 +3,7 @@
 import requests
 import random
 import json
-import allure
+#import allure
 number = random.randint(0,100000)
 str = random.choice('abcdefghijklmnopqrstuvwxyz')
 list = []
@@ -15,14 +15,24 @@ def  schema(schemauerl,token):
     return response.json()
 
 #根据schema接口返回数据，得出所有属性所支持的比较类型的列表
+#1、根据[doc][allow_query]值为true列支持搜索；
+#2、如有[doc][constraints][operator_functions]值，操作优先；
+#3、如有[doc][data]值则对应属性取值为data所列code值；
+#4、int和long的范围不一致；
+#5、string要包含特殊字符
+#6、给查询条件赋值，要给出边界和正常值
+#7、IP（V4、V6）和URL要给出专门的方法生成
 def  Filter1(schemauerl,token):
     json_str = schema(schemauerl,token)
     print(type(json_str))
+    #获取日志属性定义
     fields = json_str["data"]["fields"]
+    #获取不同属性支持的部不同操作
     operator = json_str["data"]["doc"]["schema_query"]["references"]["operator"]
     for  i  in fields:
         name = i["name"]
         doc = i["doc"]
+        #获取无任何特殊说明列：
         if doc == None:
             type1 = i["type"]
             for j in operator: