71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
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import pandas as pd
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from rich.progress import Progress
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from analyzer import node
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data = []
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with Progress() as p:
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inputdata="./recurisivev6dns.txt"
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print(len(open(inputdata).readlines()))
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task = p.add_task("[blue]Working...", total=sum(1 for _ in open(inputdata)))
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# exclist=["中国台湾","中国香港"]
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with open(inputdata, "r") as f:
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while True:
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l = f.readline()
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if l == "":
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break
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ip6 = l.splitlines()[0]
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n = node(ip6)
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p.update(task, advance=1, refresh=True)
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# if n.prov=="UnKnown":
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if n.isp=="UnKnown":
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continue
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# if n.cou=="中国" and n.prov not in exclist and "澳" not in n.isp:
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data.append({"ip": n.ip,
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"owner": n.owner,
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"isp": n.isp,
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"area": n.prov,
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"asn": n.AS,
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"lat": n.lat,
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"lng": n.lng,
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"coucode":n.couCode,
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"cou":n.cou})
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d = pd.DataFrame(data)
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import pygal
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# 地图可视化
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#创建一个字典
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print(d.shape[0])
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cc = d['isp'].value_counts().to_dict()
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# cc = d['area'].value_counts().to_dict()
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# from pygal_maps_world.i18n import COUNTRIES
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# def get_cc(ccname):
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# #根据指定的国家，返回Pygal使用的两个字母的国别码
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# for code,name in COUNTRIES.items():
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# if ccname in name :
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# return code
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# # 如果没有找到指定的国家，就返回None
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# return None
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# cc_stats={}
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# for pop_dic,pop_v in cc.items() :
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# country_name= pop_dic
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# code = get_cc(country_name)
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# if code :
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# cc_stats[code] = pop_v
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# import pygal.maps.world#创建了一个Worldmap实例，并设置了该地图的的title属性
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# wm = pygal.maps.world.World(print_values=True)
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# wm.title = '全球递归IPv6 DNS解析器分布'
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# wm.add('IPv6 DNS数量', cc_stats)
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# wm.render_to_file('world_v6Rdns.svg')
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# 柱状图
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bar_chart = pygal.Bar(print_values=True, print_values_position='top')
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i=0
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x=[]
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for k,v in cc.items():
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bar_chart.add(k,v)
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i+=1
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if i==20:
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break
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bar_chart.render_to_file("isp_v6dns.svg")
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