我想解析这个JSON响应:
将数据转换成dataframe,以便可以使用以下标题将其to_csv为.csv文件:json数据。
我将为您进行翻译:
{
"count":2,
"next":null,
"previous":null,
"results":[
{
"id":123,
"type_vname":"Suspicious Remote Desktop",
"category":"LATERAL MOVEMENT",
"src_ip":"192.168.1.1",
"state":"fixed",
"description":null,
"t_score":70,
"c_score":70,
"first_timestamp":"2017-12-13T18:51:22Z",
"last_timestamp":"2017-12-13T18:51:22Z",
"detection_detail_set":[
{
"id":1234567,
"description":"Suspicious Remote Desktop",
"dst_host_id":1234,
"dst_ip":"192.168.1.1",
"count":null,
"count_pos":null,
"dst_dns":null,
"dst_port":80,
"dst_geo":null,
"proto":null,
"first_timestamp":"2017-12-13T18:51:22Z",
"last_timestamp":"2017-12-13T18:51:22Z",
"total_bytes_sent":null,
"total_bytes_rcvd":null,
"url":"https://192.168.1.2/api/detection_details"
},
{
"id":89123456,
"description":"Suspicious Remote Desktop",
"dst_host_id":5678,
"dst_ip":"192.168.1.1",
"count":null,
"count_pos":null,
"dst_dns":null,
"dst_port":80,
"dst_geo":null,
"proto":null,
"first_timestamp":"2017-12-13T18:50:18Z",
"last_timestamp":"2017-12-13T18:50:18Z",
"total_bytes_sent":null,
"total_bytes_rcvd":null,
"url":"https://192.168.1.2/api/detection_details"
}
],
"dns_set":[
],
"relayed_comm_set":[
],
"sensor_luid":"abc1pdj",
"summary":{
"internal_targets":1,
"anomalous_events":2,
"probable_owner":"user"
},
"host":"https://192.168.1.2/api/detection_details",
"url":"https://192.168.1.2/api/detection_details",
"tags":[
],
"targets_key_asset":false,
"triage_rule_id":null
},
{
"id":1235,
"type_vname":"Suspicious Remote Desktop",
"category":"LATERAL MOVEMENT",
"src_ip":"192.168.1.2",
"state":"fixed",
"description":null,
"t_score":70,
"c_score":70,
"first_timestamp":"2017-12-11T19:11:46Z",
"last_timestamp":"2017-12-11T19:11:46Z",
"detection_detail_set":[
{
"id":123445,
"description":"Suspicious Remote Desktop",
"dst_host_id":4958,
"dst_ip":"192.168.1.2",
"count":null,
"count_pos":null,
"dst_dns":null,
"dst_port":80,
"dst_geo":null,
"proto":null,
"first_timestamp":"2017-12-11T19:11:46Z",
"last_timestamp":"2017-12-11T19:11:46Z",
"total_bytes_sent":null,
"total_bytes_rcvd":null,
"url":"https://192.168.1.2/api/detection_details"
},
{
"id":1274857,
"description":"Suspicious Remote Desktop",
"dst_host_id":15423,
"dst_ip":"192.168.1.2",
"count":null,
"count_pos":null,
"dst_dns":null,
"dst_port":80,
"dst_geo":null,
"proto":null,
"first_timestamp":"2017-12-11T19:11:46Z",
"last_timestamp":"2017-12-11T19:11:46Z",
"total_bytes_sent":null,
"total_bytes_rcvd":null,
"url":"https://192.168.1.2/api/detection_details"
},
{
"id":137847,
"description":"Suspicious Remote Desktop",
"dst_host_id":93238,
"dst_ip":"192.168.1.2",
"count":null,
"count_pos":null,
"dst_dns":null,
"dst_port":80,
"dst_geo":null,
"proto":null,
"first_timestamp":"2017-12-11T19:10:53Z",
"last_timestamp":"2017-12-11T19:10:53Z",
"total_bytes_sent":null,
"total_bytes_rcvd":null,
"url":"https://192.168.1.2/api/detection_details"
},
{
"id":2376849874,
"description":"Suspicious Remote Desktop",
"dst_host_id":15423,
"dst_ip":"192.168.1.2",
"count":null,
"count_pos":null,
"dst_dns":null,
"dst_port":80,
"dst_geo":null,
"proto":null,
"first_timestamp":"2017-12-11T19:10:53Z",
"last_timestamp":"2017-12-11T19:10:53Z",
"total_bytes_sent":null,
"total_bytes_rcvd":null,
"url":"https://192.168.1.2/api/detection_details"
}
],
"dns_set":[
],
"relayed_comm_set":[
],
"sensor_luid":"abcery",
"summary":{
"internal_targets":1,
"anomalous_events":4,
"probable_owner":"user"
},
"host":"https://192.168.1.2/api/detection_details",
"url":"https://192.168.1.2/api/detection_details",
"tags":[
],
"targets_key_asset":false,
"triage_rule_id":null
}
]
}
将数据转换成dataframe,以便可以使用以下标题将其to_csv为.csv文件:json数据。
count
next
previous
results_id
results_type_vname
results_category
results_src_ip
results_state
results_description
results_t_score
results_c_score
results_first_timestamp
results_last_timestamp
results_dns_set
results_relayed_comm_set
results_sensor_luid
results_host
results_url
results_tags
results_targets_key_asset
results_triage_rule_id
summary_internal_targets
summary_anomalous_events
summary_probable_owner
detection_id
detection_description
detection_dst_host_id
detection_dst_ip
detection_count
detection_count_pos
detection_dst_dns
detection_dst_port
detection_dst_geo
detection_proto
detection_first_timestamp
detection_last_timestamp
detection_total_bytes_sent
detection_total_bytes_rcvd
detection_url
我在 Stack Overflow 上进行了搜索,并编写了一些自己的代码(json 响应在“data”中):
import pandas as pd
from pandas.io.json import json_normalize
df = pd.DataFrame(data)
df = json_normalize(data=df['results'], record_path='detection_detail_set',
meta=['category', 'id'], record_prefix='results_', errors='ignore')
df = df.head()
df.to_csv('Output.csv', index=False)
我将为您进行翻译:
我在响应中获取到以下标头(包含数据):
results_count
results_count_pos
results_description
results_dst_dns
results_dst_geo
results_dst_host_id
results_dst_ip
results_dst_port
results_first_timestamp
results_id
results_last_timestamp
results_proto
results_total_bytes_rcvd
results_total_bytes_sent
results_url
category
id
我感觉我已经走了一半的路。我尝试了几种组合和从其他SO帖子中获得的建议来获取剩余的数据。到目前为止,没有任何效果。我知道我遇到问题是由于嵌套,只需要找到一种方法来获得所需的结果。非常感谢您的帮助!