为什么我得到字典键错误
我正在读取一个带有嵌套字典的 JSON 文件，当获取顶层树的值时，数据如下所示。我需要迭代到下面的数据并获取每个元素的信息，如
{
"access-policy":[
{
"name":"Allow_Redundant_Device",
"match":{
"source":{
"zone":{
"zone-list":[
"Intf-Internet1-Failover-Zone",
"Intf-Internet1-Zone"
]
},
"user":{
"local-database":{
"status":"disabled"
},
"external-database":{
"status":"disabled"
},
"user-type":"any"
}
},
"destination":{
"zone":{
"zone-list":[
"Intf-Internet1-Failover-Zone",
"Intf-Internet1-Zone"
]
}
}
},
"set":{
"action":"allow",
"lef":{
"options":{
"send-pcap-data":{
"enable":false
}
}
}
}
},
{
"name":"Allow_From_Hostbound",
"match":{
"source":{
"zone":{
"zone-list":[
"HOST-GLOBAL-Zone"
]
}
},
"destination":{
"zone":{
"zone-list":[
"Intf-Global-Zone",
"ptvi"
]
}
}
},
"set":{
"action":"allow"
}
},
{
"name":"Network_VPN_WEB_TEST",
"match":{
"source":{
"zone":{
"zone-list":[
"Intf-GLOBAL-Zone"
]
},
"address":{
"address-list":[
"VPN12",
"1VPN"
],
"address-group-list":[
"VPN1"
]
},
"user":{
"local-database":{
"status":"disabled"
},
"external-database":{
"status":"disabled"
},
"user-type":"any"
}
},
"destination":{
"zone":{
"zone-list":[
"L-ST-GLOBAL-Internet1",
"L-ST-GLOBAL-Internet2"
]
}
},
"services":{
"predefined-services-list":[
"http",
"https"
]
}
},
"set":{
"security-profile":{
"ips":{
"predefined-ips-profile":"Versa Recommended Profile",
"predefined-ips-profile-override":"Predefined-alert-IDS"
},
"url-filtering":{
"user-defined":"EMEA_NETWORK_VPN_WEB"
}
},
"action":"allow",
"synced-flow":"allow",
"tcp-session-keepalive":"disabled",
"lef":{
"profile":"Default-Logging-Profile",
"event":"both",
"options":{
"send-pcap-data":{
"enable":false
}
}
}
}
},
{
"name":"GLOBAL-TO-SDWAN",
"number":1,
"match":{
"source":{
"zone":{
"zone-list":[
"Intf-GLOBAL-Zone"
]
},
"user":{
"local-database":{
"status":"disabled"
},
"external-database":{
"status":"disabled"
},
"user-type":"any"
}
},
"destination":{
"zone":{
"zone-list":[
"ptvi"
]
}
}
},
"set":{
"action":"allow",
"synced-flow":"allow",
"lef":{
"event":"never",
"options":{
"send-pcap-data":{
"enable":false
}
}
}
}
},
{
"name":"Allow_From_SDWAN",
"number":2,
"match":{
"source":{
"zone":{
"zone-list":[
"ptvi"
]
},
"user":{
"local-database":{
"status":"disabled"
},
"external-database":{
"status":"disabled"
},
"user-type":"any"
}
}
},
"set":{
"action":"allow",
"synced-flow":"allow",
"lef":{
"event":"never",
"options":{
"send-pcap-data":{
"enable":false
}
}
}
}
},
{
"name":"DENY_MGMT_SERVERS",
"description":"CHGxxxx",
"match":{
"source":{
"zone":{
"zone-list":[
"Intf-GLOBAL-Zone"
]
},
"address":{
"address-group-list":[
"AD_MGMT_SERVERS"
]
},
"user":{
"local-database":{
"status":"disabled"
},
"external-database":{
"status":"disabled"
},
"user-type":"any"
}
},
"destination":{
"zone":{
"zone-list":[
"L-ST-GLOBAL-Internet1",
"L-ST-GLOBAL-Internet2"
]
}
}
},
"set":{
"action":"deny",
"tcp-session-keepalive":"disabled",
"lef":{
"event":"never",
"options":{
"send-pcap-data":{
"enable":false
}
}
}
}
},
{
"name":"DMZ-APPS-FILTERING",
"match":{
"source":{
"zone":{
"zone-list":[
"Intf-GUEST-Zone"
]
},
"address":{
"address-list":[
"1NETS",
"2NETS"
],
"address-group-list":[
"1GUEST",
"2GROUP"
]
},
"user":{
"local-database":{
"status":"disabled"
},
"external-database":{
"status":"disabled"
},
"user-type":"any"
}
},
"destination":{
"zone":{
"zone-list":[
"L-ST-GUEST-Internet1",
"L-ST-GUEST-Internet2"
]
}
},
"application":{
"filter-list":[
"Malware_With_High_Risk"
]
}
},
"set":{
"action":"deny",
"synced-flow":"allow",
"tcp-session-keepalive":"disabled",
"lef":{
"event":"never",
"options":{
"send-pcap-data":{
"enable":false
}
}
}
}
},
{
"name":"URL-FILTERING",
"match":{
"source":{
"zone":{
"zone-list":[
"Intf-GUEST-Zone"
]
},
"address":{
"address-list":[
"2-NETS",
"1-NETS"
],
"address-group-list":[
"1GROUP",
"2GROUP"
]
},
"user":{
"local-database":{
"status":"disabled"
},
"external-database":{
"status":"disabled"
},
"user-type":"any"
}
},
"destination":{
"zone":{
"zone-list":[
"L-ST-GUEST-Internet1",
"L-ST-GUEST-Internet2"
]
}
},
"url-category":{
"predefined":[
"adult_and_pornography",
"confirmed_spam_sources",
"dead_sites",
"gross",
"hacking",
"malware_sites",
"nudity",
"open_http_proxies",
"peer_to_peer",
"phishing_and_other_frauds",
"proxy_avoid_and_anonymizers",
"spam_urls",
"spyware_and_adware"
]
}
},
"set":{
"action":"deny",
"synced-flow":"allow",
"tcp-session-keepalive":"disabled",
"lef":{
"event":"never",
"options":{
"send-pcap-data":{
"enable":false
}
}
}
}
},
{
"name":"PUBLIC-DNS",
"match":{
"source":{
"zone":{
"zone-list":[
"Intf-GUEST-Zone"
]
},
"address":{
"address-list":[
"1-NETS",
"2-NETS"
],
"address-group-list":[
"2-GUEST",
"3-GROUP"
]
},
"user":{
"local-database":{
"status":"disabled"
},
"external-database":{
"status":"disabled"
},
"user-type":"any"
}
},
"destination":{
"zone":{
"zone-list":[
"L-ST-GUEST-Internet1",
"L-ST-GUEST-Internet2"
]
},
"address":{
"address-list":[
"dns-google",
"dns-google1"
]
}
},
"services":{
"services-list":[
"dns"
]
}
},
"set":{
"action":"allow",
"synced-flow":"allow",
"tcp-session-keepalive":"disabled",
"lef":{
"event":"never",
"options":{
"send-pcap-data":{
"enable":false
}
}
}
}
}
]
}
从上面获取我在key=source的键值下面提取的键源和目的地的信息。
当我尝试获取数据时，例如
data_src = {'zone':
{'zone-list': ['Intf-GLOBAL-Zone']
},
'address':
{'address-list': ['Netowkr1', 'Netowkr1'], 'address-group-list': ['SOMEDATA']
},
'user':
{'local-database': {'status': 'disabled'},
'external-database': {'status': 'disabled'},
'user-type': 'any'
}
}
data_src['zone']['zone-list'] --> 这给了我正确的区域列表
data_src['address']['address-list'] 这没有给我任何键值并抛出
address_list = policy_source['address']['address-list']
密钥错误：'地址'
我几乎被困在这里一天了。你能指导我如何纠正这个问题。
我有一个巨大的文件，我需要将以下字段的数据提取到 json 文件中的每个行数据的 excel 中。
对于每行迭代，我需要提取以下数据
来源外：关键
'姓名' '描述' 区域列表' 地址：
来源外：关键 '名称' '描述' 区域列表' 地址
然后是剩下的数据
'服务' '放' '行动' '左'
如果还有什么需要，请告诉我。
现在在为此定义一个函数模式之前，我正在尝试阅读每个字典以制定代码
import json
import csv
with open("rule.json") as access_json:
read_content = json.load(access_json)
read_index = read_content['access-policy']
for policy_data in read_index:
policy_name = policy_data['name']
policy_elements = policy_data['match']
policy_source = policy_data['match']['source']
print(policy_source)
print(policy_source['zone']['zone-list']) #This works fine
#below doesnt work as this should be the next key value
print(policy_source['address']['address-list'])
1 个答案:
答案 0 :(得分：0)
我的理解是您想要“地址列表”。您必须在嵌套的 json 中多次解析。 s 中的 loads 代表字符串，所以解析那么多时间直到你得到它。你可以用这个：
x = json.dumps(data_src)
t = json.dumps(json.loads(x).get("address","{}"))
json.loads(t).get("address-list")
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