[英]Python parsing JSON data in a better way
我有一些 JSON 數據需要解析。 但是不能完全正確,代碼看起來也不太好。
我的第一個問題是,這可以用比使用嵌套 for 循環更好的方式編寫嗎?
第二個問題。 根據 JSON 結構的設置方式,我無法獲得可靠的 output。我想低於 output。但是因為 .net.0 和 .net.6 處於同一級別,所以不要同時獲得兩者。 有沒有一種巧妙的方法來獲得這個?
('192.168.0.1', 'Established', 'test-x1', '11996', '463')
('192.168.1.2', 'down', 'test-x2', '31996', '363')
#!/usr/bin/python3
import json
json_input = """
{
"bgp-information" : [
{
"attributes" : {"xmlns" : "http://xml.juniper.net/junos/0/junos-routing"},
"bgp-thread-mode" : [
{
"data" : "BGP I/O"
}
],
"thread-state" : [
{
}
],
"group-count" : [
{
"data" : "23"
}
],
"peer-count" : [
{
"data" : "31"
}
],
"down-peer-count" : [
{
"data" : "2"
}
],
"bgp-peer" : [
{
"attributes" : {"junos:style" : "terse",
"heading" : "Peer AS InPkt OutPkt OutQ Flaps Last Up/Dwn State|#Active/Received/Accepted/Damped..."
},
"peer-address" : [
{
"data" : "192.168.0.1"
}
],
"peer-as" : [
{
"data" : "65000"
}
],
"input-messages" : [
{
"data" : "550950"
}
],
"output-messages" : [
{
"data" : "41235"
}
],
"route-queue-count" : [
{
"data" : "0"
}
],
"flap-count" : [
{
"data" : "4"
}
],
"elapsed-time" : [
{
"data" : "19w0d 23:55:24",
"attributes" : {"junos:seconds" : "11577324"}
}
],
"description" : [
{
"data" : "test-x1"
}
],
"peer-state" : [
{
"data" : "Established",
"attributes" : {"junos:format" : "Establ"}
}
],
"bgp-rib" : [
{
"attributes" : {"junos:style" : "terse"},
"name" : [
{
"data" : "inet.0"
}
],
"active-prefix-count" : [
{
"data" : "9292"
}
],
"received-prefix-count" : [
{
"data" : "11929"
}
],
"accepted-prefix-count" : [
{
"data" : "11996"
}
],
"suppressed-prefix-count" : [
{
"data" : "0"
}
]
},
{
"attributes" : {"junos:style" : "terse"},
"name" : [
{
"data" : "inet6.0"
}
],
"active-prefix-count" : [
{
"data" : "48"
}
],
"received-prefix-count" : [
{
"data" : "493"
}
],
"accepted-prefix-count" : [
{
"data" : "463"
}
],
"suppressed-prefix-count" : [
{
"data" : "0"
}
]
}
]
},
{
"attributes" : {"junos:style" : "terse"},
"peer-address" : [
{
"data" : "192.168.1.2"
}
],
"peer-as" : [
{
"data" : "65001"
}
],
"input-messages" : [
{
"data" : "679978"
}
],
"output-messages" : [
{
"data" : "43663"
}
],
"route-queue-count" : [
{
"data" : "0"
}
],
"flap-count" : [
{
"data" : "2"
}
],
"elapsed-time" : [
{
"data" : "20w1d 20:40:58",
"attributes" : {"junos:seconds" : "1256858"}
}
],
"description" : [
{
"data" : "test-x2"
}
],
"peer-state" : [
{
"data" : "down",
"attributes" : {"junos:format" : "Establ"}
}
],
"bgp-rib" : [
{
"attributes" : {"junos:style" : "terse"},
"name" : [
{
"data" : "inet.0"
}
],
"active-prefix-count" : [
{
"data" : "9953"
}
],
"received-prefix-count" : [
{
"data" : "31996"
}
],
"accepted-prefix-count" : [
{
"data" : "31996"
}
],
"suppressed-prefix-count" : [
{
"data" : "0"
}
]
},
{
"attributes" : {"junos:style" : "terse"},
"name" : [
{
"data" : "inet6.0"
}
],
"active-prefix-count" : [
{
"data" : "98"
}
],
"received-prefix-count" : [
{
"data" : "463"
}
],
"accepted-prefix-count" : [
{
"data" : "363"
}
],
"suppressed-prefix-count" : [
{
"data" : "0"
}
]
}
]
}
]
}
]
}
"""
json_out = json.loads(json_input)
for value1 in json_out['bgp-information']:
for value2 in value1['bgp-peer']:
for value in value2['peer-address']:
peer = (value['data'])
for value in value2['peer-state']:
state = (value['data'])
for value in value2['description']:
desc = (value['data'])
for value3 in value2['bgp-rib']: # Below part is what i need help with. Assign first hit to variable inet0_accepted_prefix_count and second to inet6_accepted_prefix_count
for value in value3['accepted-prefix-count']:
inet0_accepted_prefix_count = (value['data'])
for value in value3['accepted-prefix-count']:
inet6_accepted_prefix_count = (value['data'])
print(inet0_accepted_prefix_count,inet6_accepted_prefix_count)
combined = (peer,state,desc,inet0_accepted_prefix_count,inet6_accepted_prefix_count) #inet0_accepted_prefix_count is missing
print(combined)
您需要收集名稱: ".net.0"
和".net6.0"
作為單獨dict
中的條目,以便能夠收集關聯的"accepted-prefix-count"
值:
# json string elided
json_out = json.loads(json_input)
for value1 in json_out['bgp-information']:
for value2 in value1['bgp-peer']:
for value in value2['peer-address']:
peer = (value['data'])
for value in value2['peer-state']:
state = (value['data'])
for value in value2['description']:
desc = (value['data'])
d = {}
for value3 in value2['bgp-rib']:
for value in value3['name']:
name = value['data']
for value in value3['accepted-prefix-count']:
accepted_prefix_count = value['data']
d[name] = accepted_prefix_count
combined = (peer, state, desc, d['inet.0'], d['inet6.0'])
print(combined)
Output 按要求
此代碼應該可以滿足您的需求。 您可以通過刪除“數據”名稱空間來改進/縮短 json 數據的結構,但前提是您知道您不會 append 任何內容
為了考試。 - "description":[{"data": "test-x2"}] 變成 -> "description": "test-x2"
但這段代碼應該適用於您當前的 json:
json_out = json.loads(json_input)
for value in json_out["bgp-information"][0]["bgp-peer"]:
peer = value["peer-address"][0]["data"]
state = value["peer-state"][0]["data"]
desc = value["description"][0]["data"]
inet0_accepted_prefix_count = value["bgp-rib"][0]["accepted-prefix-count"][0]["data"]
inet6_accepted_prefix_count = value["bgp-rib"][1]["accepted-prefix-count"][0]["data"]
combined = (peer,state,desc,inet0_accepted_prefix_count,inet6_accepted_prefix_count)
print(combined)
與其他一些供應商相比,Juniper JSON output 的格式不是非常簡單,因此我需要引入一些例外情況。 如果有人需要解析 Junos BGP output,這里有一個基於@MarcusDevs 回答的示例:
json_out = json.loads(json_input)
for value in json_out["bgp-information"][0]["bgp-peer"]:
peer = value["peer-address"][0]["data"]
state = value["peer-state"][0]["data"]
try:
desc = value["description"][0]["data"]
except:
desc = "X"
try:
for value1 in value["bgp-rib"]:
try:
name = value1["name"][0]["data"]
except:
name = "X"
try:
accepted_prefix_count = value1["accepted-prefix-count"][0]["data"]
except:
accepted_prefix_count = "X"
combined = (peer,state,accepted_prefix_count,name,desc)
print(combined)
except:
name = "X"
accepted_prefix_count = "X"
combined = (peer,state,accepted_prefix_count,name,desc)
print(combined)
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