在这里查看了很多关于这个问题的例子,但我无法为我的例子解决这个问题。
任何建议将不胜感激,我已经对这种递归感到头疼了。
tree = {}
def populate_node(account):
node = '%(LOGIN)s,%(server_id)s' % account
tree[node]['login'] = account['LOGIN']
tree[node]['email'] = account['EMAIL'].lower()
tree[node]['server_id'] = account['server_id']
for account in accounts:
node = '%(LOGIN)s,%(server_id)s' % account
parent = None
if account['AGENT_ACCOUNT']:
parent = '%(AGENT_ACCOUNT)s,%(server_id)s' % account
if node not in tree:
tree[node] = {}
populate_node(account)
if parent:
tree[node]['parent'] = parent
if parent not in tree:
tree[parent] = {
'login': parent,
'server_id': account['server_id'],
'children': [node],
}
else:
if 'children' not in tree[parent]:
tree[parent]['children'] = [node]
else:
tree[parent]['children'].append(node)
def get_path(node, tree):
parent = node.get('parent')
node_login = str(str(node.get('login')) + ',' + str(node.get('server_id')))
if not parent:
return []
elif parent == node_login:
return [parent]
path = get_path(tree[parent], tree)
return [parent] + path
for k, v in tree.items():
v['path'] = get_path(v, tree)
v['level'] = len(v['path']) + (1 if v['login'] != v.get('parent') else 0)
默认:
tree = {}
节点是树的一个项目。
示例树:
tree = {
'1987,mt4-demo-0': {
'login': 1987,
'email': 'email_1',
'server_id': 'mt4-demo-0'
},
'16044,mt4-demo-0': {
'login': 16044,
'email': 'email_2',
'server_id': 'mt4-demo-0'
},
'160877748,mt4-demo-0': {
'login': 160877748,
'email': 'email_3',
'server_id': 'mt4-demo-0'
}
}
我每次都会遇到这个递归错误
RecursionError: maximum recursion depth exceeded while getting the str of an object
请您参考如下方法:
您的代码假定您始终处理 acyclic directed graph , 但您的输入至少有一个 directed cycle其中,一个 AGENT_ACCOUNT 引用直接或间接指向另一个帐户,而该帐户又具有指向第一个帐户的 AGENT_ACCOUNT 值。
例如,如果 accounts 设置为:
accounts = [
{'LOGIN': 'foo', 'EMAIL': 'foo@bar.com', 'server_id': 'server 1',
'AGENT_ACCOUNT': 'bar'},
{'LOGIN': 'bar', 'EMAIL': 'bar@bar.com', 'server_id': 'server 1',
'AGENT_ACCOUNT': 'foo'}]
然后树变成:
{'bar,server 1': {'children': ['foo,server 1'],
'email': 'bar@bar.com',
'login': 'bar',
'parent': 'foo,server 1',
'server_id': 'server 1'},
'foo,server 1': {'children': ['bar,server 1'],
'email': 'foo@bar.com',
'login': 'foo',
'parent': 'bar,server 1',
'server_id': 'server 1'}}
注意 foo 有一个 AGENT_ACCOUNT 指向 bar,bar 指向 foo,形成一个循环。
这将在这两个条目中的任何一个上产生无限递归错误:
>>> get_path(tree['bar,server 1'], tree)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<stdin>", line 8, in get_path
File "<stdin>", line 8, in get_path
File "<stdin>", line 8, in get_path
[Previous line repeated 994 more times]
File "<stdin>", line 2, in get_path
RecursionError: maximum recursion depth exceeded while calling a Python object
您可以及早检测到此类循环并以更清晰的错误消息退出:
def get_path(node, tree, seen=None):
if seen is None:
seen = set()
parent = node.get('parent')
if parent:
if parent in seen:
raise ValueError(
'Already handled {!r}, cycle detected. '
'Check all of {}'.format(
parent, sorted(seen)))
seen.add(parent)
node_login = '{0[login]},{0[server_id]}'.format(node) # cleaner method to generate the key
if not parent:
return []
elif parent == node_login:
return [parent]
path = get_path(tree[parent], tree, seen) # pass seen along to recursive calls
return [parent] + path
在同一 tree 上运行这个更新版本现在会产生:
>>> get_path(tree['bar,server 1'], tree)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<stdin>", line 16, in get_path
File "<stdin>", line 16, in get_path
File "<stdin>", line 9, in get_path
ValueError: Already handled 'foo,server 1', cycle detected. Check all of ['bar,server 1', 'foo,server 1']fted by one space
我假设这样的循环是错误的。如果不是,只需使用 if parent in seen: return [] 返回到该点的路径(因此忽略循环),但是您将拥有每个成员的路径版本循环,每条路径都是下一条路径的旋转版本。
您真的应该修复您的帐户信息,并消除此类循环。如果你需要找到所有这样的循环,你可以使用:
from collections import deque
def find_all_cycles(tree):
visited, cycles, path = set(), [], []
queue = deque(sorted(tree))
while queue:
key = queue.pop()
if key in visited:
continue
visited.add(key)
path.append(key)
parent = tree[key].get('parent')
if not parent:
path = []
elif parent in visited:
# cycle detected!
cycles.append(path + [parent])
path = []
else:
queue.append(parent)
return cycles
