本文整理汇总了Python中sflib.SpiderFoot.dataParentChildToTree方法的典型用法代码示例。如果您正苦于以下问题：Python SpiderFoot.dataParentChildToTree方法的具体用法？Python SpiderFoot.dataParentChildToTree怎么用？Python SpiderFoot.dataParentChildToTree使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sflib.SpiderFoot的用法示例。
在下文中一共展示了SpiderFoot.dataParentChildToTree方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: scanelementtypediscovery
# 需要导入模块: from sflib import SpiderFoot [as 别名]
# 或者: from sflib.SpiderFoot import dataParentChildToTree [as 别名]
def scanelementtypediscovery(self, id, eventType):
keepGoing = True
sf = SpiderFoot(self.config)
dbh = SpiderFootDb(self.config)
pc = dict()
datamap = dict()
# Get the events we will be tracing back from
leafSet = dbh.scanResultEvent(id, eventType)
# Get the first round of source IDs for the leafs
nextIds = list()
for row in leafSet:
# these must be unique values!
parentId = row[9]
childId = row[8]
datamap[childId] = row
if pc.has_key(parentId):
if childId not in pc[parentId]:
pc[parentId].append(childId)
else:
pc[parentId] = [ childId ]
# parents of the leaf set
if parentId not in nextIds:
nextIds.append(parentId)
while keepGoing:
parentSet = dbh.scanElementSources(id, nextIds)
nextIds = list()
keepGoing = False
for row in parentSet:
parentId = row[9]
childId = row[8]
datamap[childId] = row
#print childId + " = " + str(row)
if pc.has_key(parentId):
if childId not in pc[parentId]:
pc[parentId].append(childId)
else:
pc[parentId] = [ childId ]
if parentId not in nextIds:
nextIds.append(parentId)
# Prevent us from looping at root
if parentId != "ROOT":
keepGoing = True
datamap[parentId] = row
#print pc
retdata = dict()
retdata['tree'] = sf.dataParentChildToTree(pc)
retdata['data'] = datamap
return json.dumps(retdata, ensure_ascii=False)示例2: scanelementtypediscovery
# 需要导入模块: from sflib import SpiderFoot [as 别名]
# 或者: from sflib.SpiderFoot import dataParentChildToTree [as 别名]
def scanelementtypediscovery(self, id, eventType):
sf = SpiderFoot(self.config)
dbh = SpiderFootDb(self.config)
pc = dict()
datamap = dict()
# Get the events we will be tracing back from
leafSet = dbh.scanResultEvent(id, eventType)
[datamap, pc] = dbh.scanElementSourcesAll(id, leafSet)
# Delete the ROOT key as it adds no value from a viz perspective
del pc['ROOT']
retdata = dict()
retdata['tree'] = sf.dataParentChildToTree(pc)
retdata['data'] = datamap
return json.dumps(retdata, ensure_ascii=False)