python流程图怎么画-Python使用graphviz画流程图过程解析

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已经匿名di用户   2022-5-29 19:20   791   0

问题描述

项目中需要用到流程图,如果用js的echarts处理,不同层级建动态计算位置比较复杂,考虑用python来实现

测试demo

实现效果如下

9320200331140119.png

完整代码

import yaml

import os

import ibm_db

from graphviz import Digraph

from datetime import datetime

# db连接

def db2_query(sql):

conn = ibm_db.connect(

"DATABASE=%s;HOSTNAME=%s;PORT=%s;PROTOCOL=TCPIP;UID=%s;PWD=%s" % (

config['db2_databse'],

config['db2_host'],

config['db2_port'],

config['db2_user'],

config['db2_password']

), "", ""

)

if conn:

# 执行

stmt = ibm_db.exec_immediate(conn, sql)

result = ibm_db.fetch_both(stmt)

return result, stmt, conn

# 添加所有的点

def add_nodes():

sql = "SELECT * FROM AML.DEP_OFTEN_TRAD WHERE ACCOUNT_NO=" + ACCOUNT_NO + " ORDER BY NUM DESC fetch first 10 rows ONLY;"

result, stmt, conn = db2_query(sql)

nodes = []

nodes_dict = {}

nodes_dict[ACCOUNT_NO] = 'A'

count = 0

while (result):

count = count + 1

print(chr(ord('A') + count) + "," + result[3])

dot.node(chr(ord('A') + count), result[3], shape="rectangle", color="orange")

nodes.append(result[2])

nodes_dict[result[2]] = chr(ord('A') + count)

print('-----------------')

result = ibm_db.fetch_both(stmt)

# 关闭数据库连接

ibm_db.close(conn)

nodes.append(ACCOUNT_NO)

return dot, nodes, nodes_dict

# 添加所有的边

def add_edges(nodes):

nodes_back = nodes

print(nodes_back)

for p in range(len(nodes_back)):

nodes_temp = nodes.copy()

from_nodes = nodes_temp.pop(p)

print("len of nodes_temp:" + str(len(nodes_temp)) + ",from_nodes:" + from_nodes)

nodes_temp_in = ",".join(nodes_temp)

nodes_temp_in = '(' + nodes_temp_in + ')'

sql = "SELECT * FROM AML.DEP_OFTEN_TRAD WHERE ACCOUNT_NO=" + from_nodes + " and CNTPRT_ACCOUNT_NO IN" +

nodes_temp_in

result, stmt, conn = db2_query(sql)

if (result):

while (result):

print('-----------------')

print(result)

print(result['CNTPRT_ACCOUNT_NO'] + nodes_dict[result['CNTPRT_ACCOUNT_NO']])

print("add edges," + result['TRAD_VAL'] + " from:" + from_nodes + ",to:" + result['CNTPRT_ACCOUNT_NO'])

dot.edge(nodes_dict[from_nodes], nodes_dict[result['CNTPRT_ACCOUNT_NO']], result['TRAD_VAL'])

result = ibm_db.fetch_both(stmt)

# 关闭数据库连接

ibm_db.close(conn)

return dot

if __name__ == "__main__":

yaml_path = os.path.join('../', 'config.yaml')

with open(yaml_path, 'r') as f:

config = yaml.load(f)

dot = Digraph(

engine="circo",

comment='The Test Table',

format="png"

)

ACCOUNT_NO = '10100002181'

# 添加圆点A,A的标签是Dot A

dot.node('A', '中心客户', shape="rectangle", color="blue")

nodes_begin = datetime.now()

print(str(nodes_begin) + " nodes_begin")

dot, nodes, nodes_dict = add_nodes()

print(nodes_dict)

edges_begin = datetime.now()

print(str(edges_begin) + " edges_begin")

dot = add_edges(nodes)

print(dot.source)

render_begin = datetime.now()

print(str(render_begin) + " render_begin")

dot.render('./file/db2-table.gv', view=True)

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