折腾：
【未解决】用Python计算整个团队的当期业绩
期间，希望实现：
的树结构
且每个节点，带额外数据，以便于辅助计算
python tree
python tree库
好像也可以？
去看看
节点Node是否支持 传入特定的数据
还会支持：Visualization 画图出来
* Node: a simple tree node with at least a name attribute and any number of additional attributes.
Node中允许传入，任意的其他数据
然后去试试。
其中，感觉，先用，数据量不大的，简单的数据，去测试看看逻辑是否正确
如果没问题，再换用真实的大量的数据，不容易出错
且看到
中的：
descendants¶
All child nodes and all their child nodes.
好像就是方便后续计算业绩
算了，不用demo数据了，直接用真实数据吧。
现在问题转换为：
创建Node节点了。
先去安装库：
pipenv install anytree
log
master pipenv install anytree Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project. You can set PIPENV_IGNORE_VIRTUALENVS=1 to force pipenv to ignore that environment and create its own instead. You can set PIPENV_VERBOSITY=-1 to suppress this warning. Installing anytree... Adding anytree to Pipfile's [packages]... ✔ Installation Succeeded Pipfile.lock (6415b7) out of date, updating to (bed629)... Locking [dev-packages] dependencies... Locking [packages] dependencies... Building requirements... Resolving dependencies... ✔ Success! Updated Pipfile.lock (bed629)! Installing dependencies from Pipfile.lock (bed629)... 🐍 ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 0/0 — 00:00:00
再去写代码
另外，为了图形化显示，还是去安装库：
>>> # graphviz needs to be installed for the next line!
不过先去文字形式显示
先去调试代码
可以从导入的Node中看到，有哪些函数和属性
此处面对特殊情况：
【已解决】anytree创建节点期间如何定位查找某个节点
写了代码，调试半天，结果是：
此处数据，生成后，竟然还有93个根节点。。。
而不是希望的：只有一个根节点
本来，打算放弃用这个tree的
后来想到：可以加个虚拟的，不用的 空节点
比如id即name是：fakeroot0000
那去加上试试：
【已解决】anytree中打印出Tree树的结构文字版和图片版
然后可以继续处理，给Node加上money了。
【总结】
最后用代码：
for curParentId, curChildIdList in recommandRelationDict.items():
print("curParentId=%s, curChildIdList=%s" % (curParentId, curChildIdList))
# curParentId=a12341234123, curChildIdList=['a12341234121']
existedParentNode = findNode(curParentId)
curRootNode = None
if existedParentNode:
curParentNode = existedParentNode
curRootNode = curParentNode
else:
# curParentNode = Node(curParentId)
curParentNode = createNode(curParentId)
curRootNode = curParentNode.root
if not curRootNode:
curRootNode = curParentNode
gRootNodeList.append(curRootNode)
print("curParentNode=%s" % curParentNode)
# curParentNode=Node('/a12341234123')
for eachChildId in curChildIdList:
existedChildNode = findNode(eachChildId)
if existedChildNode:
if not existedChildNode.parent:
existedChildNode.parent = curParentNode
curChildNode = existedChildNode
else:
# curChildNode = Node(eachChildId, parent=curParentNode)
curChildNode = createNode(eachChildId, nodeParent=curParentNode)
print("curChildNode=%s" % curChildNode)
# Node('/a12341234123/a12341234121', personalSaleMoney=17226.72636907)
# curChildNode=Node('/aa1234512333/aa1234512334')
updateRootNodeList(curChildNode)
# # for debug
# for pre, fill, node in RenderTree(curRootNode):
# # print("pre=%s,fill=%s,node=%s" % (pre, fill, node))
# print("%s%s" % (pre, node.name))
# print("gRootNodeList=%s" % gRootNodeList)
print("curRootNode=%s" % curRootNode)去生成各个节点
由于有很多top的节点，所以加了个假的根节点
### add topest fake root node
# fakeRootNode = Node(FakeRootNodeId)
fakeRootNode = createNode(FakeRootNodeId)
for eachFinalRootNode in gRootNodeList:
if eachFinalRootNode.parent:
print("eachFinalRootNode=%s" % eachFinalRootNode)
else:
eachFinalRootNode.parent = fakeRootNode后续去调试：
def dbgPrintTopNodeList():
global gRootNodeList
# for debug
print("Output each top node relation to image ...")
for curTopNode in gRootNodeList:
# # for debug
curNodeRealtionFile = "Relation_%s_%s.png" % (curTopNode.name, gCurDateStr)
curNodeRealtionImg = os.path.join(gCurOutputFolder, curNodeRealtionFile)
# 'output/20210615/Relation_aaaaaaaa5522_20210615.png'
print("generating %s" % curNodeRealtionImg)
DotExporter(curTopNode).to_picture(curNodeRealtionImg)
def dbgPrintTreeToJson(curNode, outputFilename=None):
# for debug
print("Output all node relation to json...")
if not outputFilename:
outputFilename = "RelationAll_%s.json" % gCurDateStr
curOutputJson = os.path.join(gCurOutputFolder, outputFilename)
jsonExporter = JsonExporter(indent=2, sort_keys=True)
treeJsonStr = jsonExporter.export(curNode)
treeJson = json.loads(treeJsonStr)
saveJsonToFile(curOutputJson, treeJson)
def dbgPrintTree(curNode):
# for debug
for pre, fill, node in RenderTree(curNode):
# print("pre=%s,fill=%s,node=%s" % (pre, fill, node))
print("%s%s" % (pre, node.name))
dbgPrintTreeToJson(curNode)
# # for debug
print("Output all node relation to single image ...")
outputImgFile = "RelationAll_%s.png" % gCurDateStr
curOutputImg = os.path.join(gCurOutputFolder, outputImgFile)
DotExporter(curNode).to_picture(curOutputImg)
gRootNode = fakeRootNode
dbgPrintTree(gRootNode)
dbgPrintTopNodeList()
# dbgPrintTreeToJson(gRootNode)即可输出树状结构：
由此，构建出了，需要的，带字段属性的tree。
用于后续其他计算。