最近在工作中，有同事拿了一个excel的dbc表格，在用官方的dbc工具一个一个创建信号，大概看了一下共累计20多个节点，300多个信号，居然在手动处理，顿感无语。。
于是在网络上搜相关的dbc 通过脚本生成方式，竟然没搜到！那只能全网首发一个给广大汽车软件同行谋个福利。
（经过国内一番搜索，一无所获。于是乎转谷歌搜索，在cantools 这个库官网文件下找到这么一个指令：）
import cantools
db = cantools.database.load_file('MS11_E4U2_CCU_PTCANFD_230701.dbc')
cantools.database.dump_file(db, 'bar.dbc')
上文代码实现了一个读取加转存，读取了一个dbc并转而生成了一个dbc，于是自行分析读取的candbc数据结构，再结合chatgpt给出的示例，进行重构数据。最终简单的示例代码如下：
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 27 18:09:18 2023
@author: xm
如何创建生成canfd还待挖掘
"""
import cantools
# db = cantools.database.load_file('MS11_E4U2_CCU_PTCANFD_230701.dbc')
# cantools.database.dump_file(db, 'bar.dbc')
# 定义一个消息
message1 = cantools.db.Message( #cantools.database.can.message.Message
frame_id=0x19FB5101, #435900673
name='PFC_VacReport',
length=8,
bus_name='PFC',
header_byte_order='big_endian',
is_extended_frame=True,
# is_multiplexed=True,
# refresh=True,
is_fd=False,
send_type='cyclic',
senders=['PFC'],
cycle_time=20,
comment='input voltage',
unused_bit_pattern=255,
# unpack_container=True,
signals=[
js cantools.db.Signal(
name='P_VacRpt_VacRms_A',
start=0,
length=12,
is_signed=False,
scale=0.1,
offset=0,
minimum=0,
maximum=409.5,
unit='V',
invalid=None,
initial=0,
# is_multiplexer=False,
# is_float=False,
receivers=['IFB','LC'],
# multiplexer_signal=None,
# multiplexer_ids=None,
byte_order='little_endian', #little_endian big_endian
comment='valid voltage phase A',
),
cantools.db.Signal(
name='P_VacRpt_VacRms_B',
start=12,
length=12,
is_signed=False,
scale=0.1,
python offset=0,
minimum=0,
maximum=409.5,
unit='V',
invalid=None,
initial=0,
# is_multiplexer=False,
# is_float=False,
receivers=['IFB','LC'],
# multiplexer_signal=None,
# multiplexer_ids=None,
byte_order='little_endian',
comment='valid voltage phase b',
),
cantools.db.Signal(
name='P_VacRpt_VacRms_C',
start=24,
length=12,
is_signed=False,
scale=0.1,
offset=0,
minimum=0,
maximum=409.5,
unit='V',
invalid=None,
initial=0,
# is_multiplexer=False,
# is_float=False,
receivers=['IFB','LC'],
# multiplexer_signal=None,
# multiplexer_ids=None,
byte_order='little_endian',
comment='valid voltage phase c',
),
]
)
node1 = cantools.db.Node(
name='PFC'
)
# 定义一个数据库
database = cantools.db.Database(
messages=[message1],
nodes=[node1,],
version='1.0'
)
# 保存为DBC文件
cantools.database.dump_file(database, 'example.dbc')
接下来就是解析对应的excel，创建不同的msg和signal再进行组合了。这里要注意，如果excel内涉及合并单元格，以及公式计算，需要用下文代码中的两个 In【0】部分来处理掉
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 27 20:35:47 2023
@author: xm Azhe
"""
import pandas as pd
import cantools
编程客栈import openpyxl
file_path = r'D:\代码\dbc文件处理\xx.xlsx'
# In[0] 文件改造，合并单元格填充
# 打开Excel文件
workbook = openpyxl.load_workbook(file_path)
# 遍历所有工作表
for worksheet in workbook.worksheets:
# 获取所有合并单元格
merged_cells = worksheet.merged_cells
# if worksheet.title=='IFB协议E2E ':
# print(merged_cells)
# 遍历合并单元格
for merged_cell in list(merged_cells):
# 获取合并单元格的起始行、列和结束行、列
start_row, start_col, end_row, end_col = merged_cell.min_row,merged_cell.min_col,merged_cell.max_row,merged_cell.max_col,
# 拆分
worksheet.unmerge_cells(start_row=start_row,start_column=start_col,end_row=end_row,end_column=end_col)
# 获取合并单元格的值
cell_value = worksheet.cell(start_row, start_col).value
# if worksheet.title=='IFB协议E2E ':
# print(merged_cell)
# print('\n')
# 将合并单元格内的所有单元格都替换为该值
for row in range(start_row, end_row + 1):
for col in range(start_col, end_col + 1):
worksheet.cell(row, col).value = cell_value
file_path1=file_path.replace('.xlsx','_dealed.xlsx')
# 保存Excel文件
workbook.save(file_path1)
# In[0] excel内包含公式，需要刷新公式，否则会读取为nan
import win32com.client
# Start an instance of Excel
xlapp = win32com.client.DispatchEx("Excel.Application")
# Open the workbook in said instance of Excel
wb = xlapp.workbooks.open(file_path1)
# Optional, e.g. if you want to debug
# xlapp.Visible = True
# Refresh all data connections.
wb.RefreshAll()
wb.Save()
# Quit
xlapp.Quit()
# In[1] df读取，删除信号名称为空，忽略第一行
def str_to_num(s):
try:
return int(s)
except ValueError:
try:
return float(s)
except ValueError:
return s
df={}
for s in pd.ExcelFile(file_path1).sheet_names:
# print(s)
if ('协议' in s) & (s!='协议说明'):
df[s] = pd.read_excel(file_path1, sheet_name=s,skiprows=1, engine='openpyxl')
df[s] = df[s].dropna(subset=['数据名称'])
node_list=[]
msg_list=[]
# cnt=1
for s in list(df.keys()):
node_list.append(cantools.db.Node(name=s.replace(' ','').replace('协议E2E','')))
msg_list_tmp=list(df[s]['ID'].drop_duplicates())
for i in msg_list_tmp:
# if s=='LVDC协议E2E':
# cnt1=1
# print('y')
signals_list_tmp=[]
df_sig_list_tmp=list(df[s]['数据名称'][df[s]['ID']==i])
for j in df_sig_list_tmp:
signals_list_tmp.append(
cantools.db.Signal(
name=j,
start=str_to_num(df[s]['起始位'][df[s]['数据名称']==j]),
l编程ength=str_to_num(df[s]['长度'][df[s]['数据名称']==j]),
is_signed=False,
scale=df[s]['精度'][df[s]['数据名称']==j].values[0],
offset=str_to_num(df[s]['OFFSET'][df[s]['数据名称']==j]),
minimum=df[s]['Min'][df[s]['数据名称']==j].values[0],
maximum=df[s]['Max'][df[s]['数据名称']==j].values[0],
unit=str(df[s]['单位'][df[s]['数据名称']==j].values[0]),
invalid=None, #未采用dbc
initial=str_to_num(df[s]['Initial'][df[s]['数据名称']==j]),
# is_multiplexer=False,
# is_float=False,
receivers=df[s]['接收'][df[s]['数据名称']==j].values[0].split('&'),
# multiplexer_signal=None,
# multiplexer_ids=None,
byte_order='little_endian', #little_endian big_endian
comment=str(df[s]['说明'][df[s]['数据名称']==j].values[0]),
# comments=None
))
msg_list.append(cantools.db.Message( #cantools.database.can.message.Message
frame_id=int(i[:i.index("\n")], 16),
name=i[i.index("(")+1:i.index(")")],
length=8,
bus_name=df[s]['发送'][df[s]['ID']==i].values[0],
header_byte_order='big_endian',
is_extended_frame=True,
is_fd=False,
send_type='cyclic',
senders=[df[s]['发送'][df[s]['ID']==i].values[0]],
cycle_time=str_to_num(df[s]['周期'][df[s]['ID']==i].values[0][:df[s]['周期'][df[s]['ID']==i].values[0].index("ms")]),
comment=str(df[s]['备注'][df[s]['ID']==i].values[0]android),
unused_bit_pattern=255,
# unpack_container=True,
signals=signals_list_tmp
))
# if s=='LVDC协议E2E':
# cnt1=cnt1+1
# if cnt1==3:
# break
# cnt=cnt+1
# if cnt==5:
# break
database = cantools.db.Database(
# messages=[message1],
messages=msg_list,
nodes=node_list,
version='1.0'
)
cantools.database.dump_file(database, file_path.split('\\')[-1].replace('.xlsx','.dbc').replace('.xls','.dbc').replace('.csv','.dbc'))
有制作dbc的小伙伴们有福了
以上就是详解如何使用python脚本制作生成CANdbc的详细内容，更多关于python生成CANdbc的资料请关注编程客栈(www.devze.com)其它相关文章！
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