def __init__(self, root=None):
# 添加一个没有数据的 HEAD
self._root = root
# Dot
self.graph = Dot(rankdir='TB')
self.graph.set_type('digraph')
self.graph.set_name('Tree')
def _create_bpmn_objects(pydot_graph: pydotplus.Dot) -> (list, list):
bpmn_nodes = [] # list of bpmn nodes
nodes = {} # nodes[node_name] = bpmn_node
for graph_node in pydot_graph.get_node_list():
name = graph_node.get_name()
shape = graph_node.__get_attribute__('shape')
label = graph_node.__get_attribute__('label')
height = graph_node.__get_attribute__('height')
width = graph_node.__get_attribute__('width')
pos = graph_node.__get_attribute__('pos')
if pos is not None: # not to include 'system' nodes
name = modify_str(name)
label = modify_str(label)
if name == 'startevent':
bpmn_node = StartEvent(pos, height, width)
elif name == 'endevent':
bpmn_node = EndEvent(pos, height, width)
elif shape == 'diamond':
bpmn_node = (ParallelGateway if
(label == '+') else ExclusiveGateway)(pos,
height,
width)
elif shape == 'box':
bpmn_node = Task(label, pos, height, width)
else:
raise AssertionError(
f'type of node {graph_node.get_name()} was not detected!'
)
nodes[name] = bpmn_node
bpmn_nodes.append(bpmn_node)
bpmn_edges = [] # list of SequenceFlow() (bpmn edges)
for graph_edge in pydot_graph.get_edge_list():
source_name = modify_str(graph_edge.get_source())
dest_name = modify_str(graph_edge.get_destination())
source_node = nodes[source_name]
dest_node = nodes[dest_name]
pos = graph_edge.__get_attribute__('pos')
bpmn_edge = SequenceFlow(source_node.get_id(), dest_node.get_id())
bpmn_edge.set_pos(pos)
source_node.set_outgoing(bpmn_edge.get_id())
dest_node.set_incoming(bpmn_edge.get_id())
bpmn_edges.append(bpmn_edge)
return bpmn_nodes, bpmn_edges
def pydot_graph(layers, node_creator=default_create, **kwargs):
"""Create a :class:`Dot` graph for a list of layers
Parameters
----------
layers : list of :class:`Layer` instances
The graph will be created with the layers from that list.
node_creator : callable (``default_create``)
A function that creates a :class:`Node` for a given layer.
kwargs : keyword arguments
Those will be passed down to ``node_creator`` or :class:`Node`.
"""
nodes = {}
edges = []
for layer in layers:
nodes[layer] = node_creator(layer, **kwargs)
if hasattr(layer, 'input_layers'):
for input_layer in layer.input_layers:
edges.append((input_layer, layer))
if hasattr(layer, 'input_layer'):
edges.append((layer.input_layer, layer))
graph = Dot('Network', graph_type='digraph')
for node in nodes.values():
graph.add_node(node)
for start, end in edges:
try:
graph.add_edge(Edge(nodes[start], nodes[end]))
except KeyError:
pass
return graph
def _graph_with_defaults(name: str) -> Dot:
"""Return default pydot graph."""
result = Dot(graph_name=f'"{name}"')
result.set_graph_defaults(splines="true",
ranksep="0.1 equally",
pad="0.1",
truecolor="true",
bgcolor="#00000000")
result.set_edge_defaults(fontname="Fira Code",
fontcolor="#6f6f6f",
color="#6f6f6f",
penwidth="2.5")
result.set_node_defaults(
fontname="Arimo",
fontcolor="#ffffff",
color="#6f6f6f",
fillcolor="#009641",
width="1.5",
style='"rounded,filled"',
shape="box",
)
return result
def export(digraph: Subgraph, name: str = "a") -> None:
"""Generate the dependency digraph plot.
Exports the generated digraph from 'build' to 'name'.png file.
:param digraph: Dot digraph from 'build'.
:type digraph: Dot
:param name: export file's basename.
:type name: str
"""
graph = Dot()
graph.add_subgraph(digraph)
graph.write(name + ".dot")
result = graph.create(format="png")
if result is None:
print("Error!")
pass
else:
with open(name + ".png", "wb") as file:
file.write(result)
pass
pass
pass
# -*- coding: utf-8 -*-
# coding:utf-8
from pydotplus import Dot, Edge, Node
from PIL import Image
from q41 import make_chunk_list
from q42 import extract_surface
txt_path = '../5/ai.ja.txt.parsed'
sentences = make_chunk_list(txt_path)
sentence_idx = 7
sentence = sentences[sentence_idx]
graph = Dot(graph_type='digraph')
graph.set_fontname('MS Gothic')
# make Node and Edge
for id, chunk in enumerate(sentence):
word = extract_surface(sentences, sentence_idx, id)
node = Node(id, label=word)
graph.add_node(node)
if chunk.dst != -1:
edge = Edge(id, chunk.dst)
graph.add_edge(edge)
graph.write_png('sentence.png')
Image.open('sentence.png')
def __init__(self, *args, **kwargs):
self._drawing = Dot(*args, **kwargs)
self._frames = []
class MyGraph:
def __init__(self, *args, **kwargs):
self._drawing = Dot(*args, **kwargs)
self._frames = []
def get_node(self, name):
return self._drawing.get_node(str(name))[0]
def change_color_node(self, name, color):
node = self.get_node(name)
node.obj_dict['attributes']['color'] = color
def get_edge(self, src, dest):
return self._drawing.get_edge(src, dest)
def change_color_edge(self, src, dest, color):
edge = self.get_edge(src, dest)[0]
edge.obj_dict['attributes']['color'] = color
def make_node(self, name):
return Node(
name,
style='filled',
color='turquoise',
labelloc='b',
fontname="Times-Roman:bold",
fontcolor='black',
fontsize=50,
)
def add_nodes(self, *nodes_names):
for name in nodes_names:
node = self.make_node(name)
self._drawing.add_node(node)
def link(self, src, dst, w, color=None):
if color:
self._drawing.add_edge(
Edge(src,
dst,
label=w,
fontcolor='blue',
color=color,
fontsize=50,
penwidth=15))
else:
self._drawing.add_edge(
Edge(src,
dst,
label=w,
fontcolor='blue',
fontsize=50,
penwidth=15))
def get_image(self):
img = self._drawing.create_png()
stream = BytesIO(img)
img = Image.open(stream)
return img
def save_img(self, img_name):
self._frames.append(self.get_image())
self._frames[-1].save(
img_name + '.png',
format="PNG",
)
def __init__(self, *args, **kwargs):
self._drawing = Dot(*args, **kwargs)
self._adjs = {}
self._marked = {}
self._frames = []
class MyGraph:
def __init__(self, *args, **kwargs):
self._drawing = Dot(*args, **kwargs)
self._adjs = {}
self._marked = {}
self._frames = []
def add_cluster(self, name, label):
cluster = Cluster(name)
cluster.set_label(label)
self._drawing.add_subgraph(cluster)
def get_node(self, name):
return self._drawing.get_node(str(name))[0]
def make_node(self, name):
return Node(
name,
shape='none',
style='filled',
color='azure2',
image='voter.png',
labelloc='b',
fontname="Times-Roman:bold",
fixedsize='true',
width=1.0,
height=1.0,
fontcolor='white',
fontsize=15,
)
def add_nodes(self, *nodes_names):
this_path = path.dirname(__file__)
this_path = path.join(this_path, 'images', 'voter.png')
self._drawing.shape_files = [this_path]
for name in nodes_names:
node = self.make_node(name)
self._drawing.add_node(node)
self._adjs[name] = []
self._marked[name] = False
def add_nodes_cluster(self, cluster_name, *nodes_names):
for name in nodes_names:
node = self.make_node(name)
cluster = self._drawing.get_subgraph("cluster_" + cluster_name)
cluster[0].add_node(node)
if cluster_name is not "unknows":
self._frames.append(self.get_image())
def del_node_cluster(self, cluster_name, node):
cluster = self._drawing.get_subgraph("cluster_" + cluster_name)
cluster[0].del_node(str(node))
self._frames.append(self.get_image())
def link(self, src, dst):
self._adjs[src].append(dst)
self._adjs[dst].append(src)
src = self.get_node(src)
dst = self.get_node(dst)
self._drawing.add_edge(Edge(src, dst))
self._frames.append(self.get_image())
def mark_node(self, name, color):
node = self.get_node(name)
node.set_style('filled')
node.set_fillcolor(color)
self._marked[name] = True
self._frames.append(self.get_image())
def get_image(self):
img = self._drawing.create_png()
stream = BytesIO(img)
img = Image.open(stream)
return img
def is_node_marked(self, name):
return self._marked[name]
def bfs(self, name, color, cluster=None):
to_visit = []
to_visit.append(name)
self.mark_node(name, color)
if cluster is not None:
self.add_nodes_cluster(cluster, name)
self.del_node_cluster("unknows", name)
while to_visit:
visiting = to_visit.pop(0)
for v in self._adjs[visiting]:
if not self.is_node_marked(v):
self.mark_node(v, color)
to_visit.append(v)
if cluster is not None:
self.add_nodes_cluster(cluster, v)
self.del_node_cluster("unknows", v)
def count_not_checked_components(self, color):
count = 0
for v in self._adjs.keys():
if not self.is_node_marked(v):
self.add_cluster(
f"unknows_{count+1}",
f"Grupo #{count+1} de votos com valor desconhecido")
self.bfs(v, color, f"unknows_{count+1}")
count += 1
return count
def save_gif(self, file_name):
self._preprocess_frames()
self._frames[0].save(file_name + '.gif',
format="GIF",
append_images=self._frames[1:],
save_all=True,
duration=len(self._frames) * 10,
loop=0)
def save_img(self, img_name):
self._frames[-1].save(
img_name + '.png',
format="PNG",
)
def _preprocess_frames(self):
biggest_w = max(i.width for i in self._frames)
biggest_h = max(i.height for i in self._frames)
for i, old_frame in enumerate(self._frames):
frame = Image.new('RGBA', (biggest_w, biggest_h),
(255, 255, 255, 255))
frame.paste(old_frame)
self._frames[i] = frame
for i in range(5):
self._frames.append(self._frames[-1])
def get(self) -> Dot:
"""Return pydot graph representation of message."""
result = Dot(graph_name=self.__message.full_name)
result.set_graph_defaults(splines="ortho", ranksep="0.8 equally")
result.set_edge_defaults(fontname="Fira Code",
fontcolor="#6f6f6f",
color="#6f6f6f")
result.set_node_defaults(
fontname="Arimo",
fontcolor="#ffffff",
color="#6f6f6f",
fillcolor="#009641",
width="1.5",
style='"rounded,filled"',
shape="box",
)
result.add_node(
Node(name="Initial",
fillcolor="#ffffff",
shape="circle",
width="0.5",
label=""))
for f in self.__message.fields:
result.add_node(Node(name=f.name))
for l in self.__message.structure:
result.add_edge(
Edge(src=l.source.name,
dst=l.target.name,
xlabel=self.__edge_label(l)))
result.add_node(
Node(name="Final",
fillcolor="#6f6f6f",
shape="circle",
width="0.5",
label=""))
return result
class MyGraph:
def __init__(self, *args, **kwargs):
self._drawing = Dot(*args, **kwargs)
self._frames = []
def get_node(self, name):
return self._drawing.get_node(str(name))[0]
def make_node(self, name):
return Node(
name,
style='filled',
color='turquoise',
labelloc='b',
fontname="Times-Roman:bold",
fontcolor='black',
fontsize=40,
)
def add_nodes(self, *nodes_names):
for name in nodes_names:
node = self.make_node(name)
self._drawing.add_node(node)
def link(self, src, dst, label_edge, w=None):
if label_edge is "any":
font_color = "darkgreen"
elif label_edge is "none":
font_color = "red"
else:
font_color = "indigo"
if w:
label_edge = f"{w} ({label_edge})"
self._drawing.add_edge(
Edge(src,
dst,
label=label_edge,
fontcolor=font_color,
fontsize=40))
else:
self._drawing.add_edge(
Edge(src,
dst,
label=label_edge,
fontcolor=font_color,
fontsize=40))
def get_image(self):
img = self._drawing.create_png()
stream = BytesIO(img)
img = Image.open(stream)
return img
def save_img(self, img_name):
self._frames.append(self.get_image())
self._frames[-1].save(
img_name + '.png',
format="PNG",
)
def dotgraph(graph):
__graph = Dot(rankdir='TB',
fontname="Fangsong",
fontcolor='blue',
label="有向图的示例")
__graph.set_type('digraph')
__graph.set_name('digraph_demo')
__graph.set_node_defaults(fontname="Fangsong",
style='filled',
fillcolor='yellow')
__graph.set_edge_defaults(fontname="Fangsong", color='black')
for key, value in graph.items():
# 若节点没有特殊label或者其他属性需求
# 可以直接以节点名称显示
# 直接标记方向，不用手动添加
# node = Node(key)
# __graph.add_node(node)
for v in value:
edge = Edge(key, v)
__graph.add_edge(edge)
ret = __graph.write_raw("demo.dot")
if ret is not True:
print('生成demo.dot失败')
ret = __graph.write_svg("demo.svg")
if ret is not True:
print('生成graph.svg失败')
# ret = __graph.write_png("demo.png")
# if ret is not True:
# print('生成graph.png失败')
return __graph
class Tree(object):
def __init__(self, root=None):
# 添加一个没有数据的 HEAD
self._root = root
# Dot
self.graph = Dot(rankdir='TB')
self.graph.set_type('digraph')
self.graph.set_name('Tree')
def __str__(self):
return str(self._root)
__repr__ = __str__
def type_check(fun):
def type_check_wapper(self, *args, **kw):
if len(args) != 1 or not isinstance(*args, int):
raise ValueError('类"{}" -> 方法"{}" -> 参数"{}" 无效'.format(
self.__class__.__name__, fun.__name__, args))
fun(self, *args, **kw)
return type_check_wapper
@type_check
def append(self, value):
node = TreeNode(value)
# DOT添加新节点
self.graph.add_node(node.dot_node())
if self._root is None:
self._root = node
else:
queue = deque()
queue.append(self._root)
while queue:
cur = queue.popleft()
if cur.left is None:
cur.add_left(node)
# DOT 添加 edge 左子树
self.dot_add_edge_left(cur, node)
return
elif cur.right is None:
cur.add_right(node)
# dot添加 edge 右子树
self.dot_add_edge_right(cur, node)
return
else:
# 若左右都不为空，则给判断列表加入子树，继续进行子树判断
queue.append(cur.left)
queue.append(cur.right)
"""
# 2019.04.14 23:44:00
# 之所以屏蔽，这种函数多重包含的原因是
# 遍历的时候向使用生成器 yield
# 但是似乎，函数嵌套了之后，yield会出现和预期不一致的现象？
#
def traversal(self, mode='breadth'):
if self._root is None:
print('空树')
else:
if mode == 'breadth':
print('----- 广度优先遍历 -----', end='\n')
self.__traversal_breadth_first()
elif mode in ('depth', 'preorder', 'inorder', 'postorder'):
print('----- 深度优先遍历 -----', end=' ')
self.__traversal_depth_first(mode)
else:
raise ValueError('类"{}" -> 方法"{}" -> 参数"{}" 无效'.format(
self.__class__.__name__, self.traversal.__name__, mode))
def __traversal_depth_first(self, mode='preorder'):
if mode == 'preorder' or mode == 'depth':
self.__traversal_preorder(self._root)
elif mode == 'inorder':
self.__traversal_inorder()
elif mode == 'postorder':
self.__traversal_postorder()
else:
raise ValueError('类"{}" -> 方法"{}" -> 参数"{}" 无效'.format(
self.__class__.__name__, self.__traversal_depth_first.__name__, mode))
print('')
"""
def traversal_breadth_first(self):
"""
广度优先遍历
"""
queue = deque()
queue.append(self._root)
while queue:
cur = queue.popleft()
if cur is None:
continue
# print(str(cur) + ' -> ', end='')
yield cur
queue.append(cur.left)
queue.append(cur.right)
# print('')
# def __traversal_preorder(self, root):
def traversal_preorder(self):
"""
深度优先遍历 -> 前序遍历
"""
# 递归实现
# if root is None:
# return
# print(root, end=' -> ')
# self.__traversal_preorder(root.left)
# self.__traversal_preorder(root.right)
# 非递归实现
# print('<前序遍历>')
queue = deque()
cur = self._root
while queue or cur:
if cur:
# print(cur, end=' -> ')
yield cur
queue.append(cur)
cur = cur.left
else:
cur = queue.pop()
cur = cur.right
def traversal_inorder(self):
"""
深度优先遍历 -> 中序遍历
"""
# 非递归实现
# print('<中序遍历>')
queue = deque()
cur = self._root
while queue or cur:
if cur:
queue.append(cur)
cur = cur.left
else:
cur = queue.pop()
# print(cur, end=' -> ')
yield cur
cur = cur.right
def traversal_postorder(self):
"""
深度优先遍历 -> 后序遍历
"""
# print('<后序遍历>')
# """
# # 方法一
# # 借助的思想：
# # 前序遍历：根 -> 左 -> 右
# # 后续遍历: 左 -> 右 -> 根 （相当于 前序遍历的先右后左 情况，的逆序）
# # 因此：
# # 1. 前序遍历，先右后左
# # 2. 利用一个新栈，进行逆序
# """
# queue_temp = deque()
# queue = deque()
# cur = self._root
# while queue or cur:
# if cur:
# queue_temp.append(cur)
# queue.append(cur)
# cur = cur.right
# else:
# cur = queue.pop()
# cur = cur.left
# for i in range(len(queue_temp)):
# print(queue_temp.pop(), end=' -> ')
"""
# 方法二
# 借助的思想：
# 加一个判断量，若当前节点的左右节点都已经被访问过了，那么也需要直接打印
# 为什么直接cur.right==pre也可以呢？ ----- 这种说法错误，若某节点仅存在左子树的时候，就不行了
# 其实是和我压栈的顺序相关的
# 右子树后出，因此上一次弹出的子树为右子树的时候，就可以证明左子树必定访问过了
"""
queue = deque()
queue.append(self._root)
pre = None
while queue:
cur = queue[-1] # 获取栈顶元素
# if (cur.left is None and cur.right is None) or\
# (pre is not None and (cur.right == pre)): # 此法考虑不够全面
if (cur.left is None and cur.right is None) or\
(pre is not None and (cur.left is pre or cur.right is pre)):
# print(cur, end=' -> ')
yield cur
cur = queue.pop()
pre = cur
else:
if cur.right:
queue.append(cur.right)
if cur.left:
queue.append(cur.left)
def dot_add_edge_left(self, node_src, node_des):
if not isinstance(node_src, TreeNode) or not isinstance(
node_src, TreeNode):
raise ValueError('类"{}" -> 方法"{}" -> 参数"{}"or"{}" 无效'.format(
self.__class__.__name__, fun.__name__, node_src, node_des))
edge = Edge(node_src.dot_left(), node_des.dot_value())
self.graph.add_edge(edge)
edge = Edge(node_des.dot_parent(), node_src.dot_value(), color='red')
self.graph.add_edge(edge)
def dot_add_edge_right(self, node_src, node_des):
if not isinstance(node_src, TreeNode) or not isinstance(
node_src, TreeNode):
raise ValueError('类"{}" -> 方法"{}" -> 参数"{}"or"{}" 无效'.format(
self.__class__.__name__, fun.__name__, node_src, node_des))
edge = Edge(node_src.dot_right(), node_des.dot_value())
self.graph.add_edge(edge)
edge = Edge(node_des.dot_parent(), node_src.dot_value(), color='red')
self.graph.add_edge(edge)
def dot_show(self):
ret = self.graph.write_raw("demo.dot")
if ret is not True:
print('生成demo.dot失败')
ret = self.graph.write_svg("graph.svg")
if ret is not True:
print('生成graph.svg失败')
os.system("graph.svg")
# png和jpg生成的中文是乱码，不知道为啥。svg没有乱码问题
graph.write_png("graph.png")
# 将dot源码写入文件"demo.dot"
ret = graph.write_raw("demo.dot")
print(ret) #返回True
"""
import pydotplus
import sys
import os
from pydotplus import graph_from_dot_data
from pydotplus import Dot, Node, Edge
graph = Dot(rankdir='TB')
graph.set_type('digraph')
graph.set_name('Dot_Demo')
data = {'start': '开始', '1': '第一步', '2': '第二步', '3': '第三步', 'end': '结束'}
node_name = tuple(data.keys())
graph.set_node_defaults(shape='record')
# 将结点和边关联
i = 0
for key, value in data.items():
if i == 0 or i == len(data) - 1:
# node label中{}的作用，相当于开辟新的作用域，且垂直水平方向会相对于当前来进行切换
"""
digraph G {
def write_graph(graph: Dot, filename: Path, fmt: str = "svg") -> None:
log.info("Creating %s", filename)
with open(filename, "wb") as f:
graph.write(f, format=fmt)