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path: root/script/neo4jcommand.py
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# 去重指令
distinct = '''
match (n:NodeResolver53) 
WITH n ORDER BY n.W DESC 
with n.IP as IP,collect(n) as nodes,count(*) as c
where c>1 
CALL apoc.refactor.mergeNodes(nodes, 
{properties:'discard',mergeRels:true})
YIELD node 
RETURN count(*)
'''

# 新建catelog
gds_newgraph = '''
CALL gds.graph.project(
  'myGraph',
  'NodeResolver53',
  'IP_LINK',
  {
    relationshipProperties: 'W'
  }
)
'''

# 删除旧的catelog
gds_delgraph = '''
CALL gds.graph.drop('myGraph', false) YIELD graphName
'''

# 高风险节点
dangerous_nodes = '''
CALL gds.pageRank.stream('myGraph')
YIELD nodeId, score
with gds.util.asNode(nodeId) as n
WHERE n.IPType contains "6"
RETURN n.IP as ip, n.ISP as isp,n.CCODE as ccode,n.COU as cou,n.PROV as prov, score  
ORDER BY score DESC, ip ASC,isp ASC,ccode ASC,cou ASC,prov ASC limit 30'''

# 节点邻居
node_neighbors = '''MATCH(n:NodeResolver53{IP:'%s'})-[]->(m:NodeResolver53) RETURN m'''

# 节点全部信息

# IP关联数据,以地理位置代表
IP_relate = '''MATCH (n:NodeResolver53)-[]->(m:NodeResolver53) 
with n.LAT as flat,n.LNG as flng,m.LAT as tlat,m.LNG as tlng ,count(*) as c 
RETURN flat,flng,tlat,tlng,c
order by c DESC limit 10000
'''

# AS关联数据
AS_relate = '''
MATCH(n:NodeResolver53)-[l:IP_LINK]->(d:NodeResolver53) 
WITH n.AS AS fasn, d.AS AS tasn, count(*) AS c 
RETURN fasn,tasn,c 
order by c DESC limit 10000 
'''

# ISP关联数据
ISP_relate = '''MATCH(n:NodeResolver53)-[l:IP_LINK]->(d:NodeResolver53) 
WITH n.ISP AS fisp, d.ISP AS tisp, count(*) AS c 
RETURN fisp,tisp,c
order by c DESC limit 10000'''

# AS分布
AS_dist = '''MATCH(n:NodeResolver53{IPType:"v6"})
 with n.AS as asn,count(*) as c 
 RETURN asn,c
 order by c DESC limit 10000
 '''

# ISP分布统计
ISP_dist = '''MATCH(n:NodeResolver53{IPType:"v6"}) 
with n.ISP as isp,count(*) as c 
RETURN isp,c
order by c DESC limit 10000
'''

# 国家分布统计
cou_dist = '''MATCH(n:NodeResolver53{IPType:"v6"}) with n.COU as cou,count(*) as c RETURN cou,c'''
ccode_dist = '''MATCH(n:NodeResolver53{IPType:"v6"}) with n.CCODE as ccode,count(*) as c RETURN ccode,c'''

# 双栈服务数量统计
dualcountcypher = '''
   CALL gds.wcc.stream('myGraph')
   YIELD nodeId,componentId
   with componentId as cid,count(*) as c
   where 1<c<4
   with collect(cid) as cc
   CALL gds.wcc.stream('myGraph')
   YIELD nodeId,componentId
   where componentId in cc
   with gds.util.asNode(nodeId).IP as ip,componentId
   where ip contains ":"
   return count(distinct componentId)
   '''

# 双栈服务详细数据
dualdatacypher = '''
   CALL gds.wcc.stream('myGraph')
   YIELD nodeId,componentId
   with componentId as cid,count(*) as c
   where 1<c<4
   with collect(cid) as cc
   CALL gds.wcc.stream('myGraph')
   YIELD nodeId,componentId
   where componentId in cc
   with gds.util.asNode(nodeId).IP as ip,componentId
   where ip contains ":"
   with  collect(componentId) as ccl
   CALL gds.wcc.stream('myGraph')
   YIELD nodeId,componentId
   where componentId in ccl
   with gds.util.asNode(nodeId) as n,componentId
   return n.IP,n.ISP,n.COU,n.CCODE,n.PROV,n.LAT,n.LNG,componentId 
   order by componentId limit 30
   '''

# v6dns计数
v6count = '''
match (n:NodeResolver53) where n.IPType contains "6" return count(n)'''

delQuery = '''
CALL apoc.periodic.commit("MATCH (n:NodeResolverQuery) 
WITH n LIMIT $limit DETACH DELETE n RETURN count(*)",{limit: 10000})
YIELD updates, executions, runtime, batches 
RETURN updates, executions, runtime, batches;'''