def read_value(data_type, result, byte_index=0, bool_index=0):
# 'FLOAT'
if data_type == 1:
return get_real(result, byte_index)
# 'INT'
elif data_type == 2:
return get_int(result, byte_index)
# 'DINT'
elif data_type == 3:
return get_dint(result, byte_index)
# 'WORD'
elif data_type == 4:
return get_word(result, byte_index)
# 'DWORD'
elif data_type == 5:
return get_dword(result, byte_index)
# 'BYTE'
elif data_type == 6:
return get_byte(result, byte_index)
# 'BOOL'
elif data_type == 7:
return get_bool(result, byte_index, bool_index)
else:
assert ValueError, 'data_type is not useful'
def unpack(array_read, array_order, variables):
buffer = []
j = 0
for loop in range(len(array_order)):
a = array_order[loop][0]
print(a)
start_index = int(math.modf(variables[a]['address'])[1])
i = 0
while i < len(array_order[loop]):
order = array_order[loop][i]
byte_index = int(math.modf(variables[order]['address'])[1])
type = variables[order]['data_type']
if type == 7:
bool_index = round(math.modf(variables[order]['address'])[0] * 10)
buffer.append([get_bool(array_read[loop], byte_index - start_index, bool_index)])
if type == 6:
buffer.append([get_byte(array_read[loop], byte_index - start_index)])
if type == 4:
buffer.append([get_word(array_read[loop], byte_index - start_index)])
if type == 5:
buffer.append([get_dword(array_read[loop], byte_index - start_index)])
if type == 2:
buffer.append([get_int(array_read[loop], byte_index - start_index)])
if type == 3:
buffer.append([get_dint(array_read[loop], byte_index - start_index)])
if type == 1:
buffer.append([get_real(array_read[loop], byte_index - start_index)])
buffer[j].append(order)
j = j + 1
i = i + 2
order1(buffer) # 按最后一列顺序排序
return buffer
def read(self,datatype,*args):
self.plc2pc_data=self.plc.db_read(self.db_number,self.db_read_start,self.db_read_size)
if datatype=='bool':
return util.get_bool(self.plc2pc_data,args[0],args[1])
elif datatype=='int':
return util.get_int(self.plc2pc_data,args[0])
elif datatype==('dint' or 'dword'):
return util.get_dword(self.plc2pc_data,args[0])
elif datatype=='real':
return util.get_real(self.plc2pc_data,args[0])
elif datatype=='string':
return util.get_string(self.plc2pc_data,args[0],args[1])
def set_value(self, byte):
self.valor_anterior = self.valor
if self.type_var == "R":
self.valor = round(util.get_real(byte, self.address),2)
elif self.type_var == "I" or self.type_var == "W":
self.valor = round(util.get_int(byte, self.address),2)
elif self.type_var == "DW" or self.type_var == "DI":
self.valor = round(util.get_dword(byte, self.address),2)
elif self.type_var == "B":
self.valor = util.get_bool(byte, self.address, self.bit)
if self.valor_anterior != self.valor:
self.write = True
else:
self.write = False
def query(client):
""""""
# db read db, start, size
# attention!!! size is byte
data1 = client.db_read(1, 1, 2)
print(data1)
data_1 = util.get_int(data1, 0)
print(data_1)
data2 = client.db_read(1, 2, 4)
print(data2)
data_2 = util.get_dword(data2, 0)
print(data_2)
data2 = client.db_read(1, 1, 10)
print(data2)
def set_value(self, byte):
self.valor_anterior = self.valor
if self.type_var == "R":
self.valor = util.get_real(byte, self.address)
if self.type_var == "I" or self.type_var == "W":
self.valor = util.get_int(byte, self.address)
if self.type_var == "DW" or self.type_var == "DI":
self.valor = int(util.get_dword(byte, self.address))
# print str(self.db )+"."+str(self.address )+" DI: "+ str(self.valor)
if self.type_var == "B":
#print self.address
value_t = util.get_bool(byte, int(self.address), int(self.bit))
if value_t:
self.valor = 1
else:
self.valor = 0
def read_value(data_type, result, byte_index=0, bool_index=0):
if data_type == 'FLOAT':
return get_real(result, byte_index)
elif data_type == 'INT':
return get_int(result, byte_index)
elif data_type == 'DINT':
return get_dint(result, byte_index)
elif data_type == 'WORD':
return get_word(result, byte_index)
elif data_type == 'BYTE':
return get_byte(result, byte_index)
elif data_type == 'BOOL':
return get_bool(result, byte_index, bool_index)
elif data_type == 'DWORD':
return get_dword(result, byte_index)
else:
assert ValueError, 'data_type is not useful'
def test_read_double_word(self):
data = self.client.db_read(0, 500, 8 * 4)
self.assertEqual(get_dword(data, 0), 0x00000000)
self.assertEqual(get_dword(data, 8), 0x12345678)
self.assertEqual(get_dword(data, 16), 0x1234ABCD)
self.assertEqual(get_dword(data, 24), 0xFFFFFFFF)
def s7_multi_read(plc, tag_type, tag_address,data_type,tag_name):
'''
从s7_read_excel处理完的变量表中批量读取变量
'''
# print('s7multiread函数')
# print(tag_type, tag_address)
taglens = len(tag_type)
# print(taglens)
# l = taglens # 变量表长度，如果大于20 必须分批读取 snp7
# x = (l // 20) +1 # 取整加1 组数
# y = l % 20 # 取余数
# dataitemsgroup=[]
# for i in range(x):
# dataitemsgroup.append("data_items"+str(i))
# for i in dataitemsgroup:
# if i < x:
# dataitemsgroup = (S7DataItem * pass)()
# data_items[i].Area = areas[tag_type[i]] # 数据类型
# data_items[i].WordLen = ctypes.c_int32(S7WLByte)
# data_items[i].Result = ctypes.c_int32(0)
# data_items[i].DBNumber = ctypes.c_int32(0) # DB块 非DB写0
# data_items[i].Start = ctypes.c_int32(int(tag_address[i].split('.')[0])) # byte地址
# data_items[i].Amount = ctypes.c_int32(8) # 读取8位
# val = val + plc.read_multi_vars(data_items[20 * a:20 * (a + 1)])
# a += 1
# n += 1
# if n == x and y != 0:
# val = val + plc.read_multi_vars(data_items[20 * a:20 * a + y])
#
# a = 0 # 每一组变量的上标
# val = [] # 初始化列表 每一组变量值
# for n in range(x):
# if n < x:
# val = val + plc.read_multi_vars(data_items[20 * a:20 * (a + 1)])
# a += 1
# n += 1
# if n == x and y != 0:
# val = val + plc.read_multi_vars(data_items[20 * a:20 * a + y])
# val2 = val
# return val2
data_items = (S7DataItem * taglens)() # 括号 数组
# print(type(data_items))
# fixme 如果只有一个变量的情况 可能会有bug
# 生成 data_items 待读取的变量结构体
for i in range(taglens):
# print(i)
data_items[i].Area = areas[tag_type[i]] # 数据类型
data_items[i].WordLen = ctypes.c_int32(S7WLByte)
data_items[i].Result = ctypes.c_int32(0)
data_items[i].DBNumber = ctypes.c_int32(0) # DB块 非DB写0
data_items[i].Start = ctypes.c_int32(int(tag_address[i].split('.')[0])) # byte地址
data_items[i].Amount = ctypes.c_int32(8) # 读取8位
# data_items[i].Bit = tag_address[i].split('.')[1] # 偏移量
# print(type(data_items))
# print(type(data_items[2]))
# print(type(data_items[0:20]))
# create buffers to receive the data
# use the Amount attribute on each item to size the buffer
for di in data_items:
# create the buffer
buffer = ctypes.create_string_buffer(di.Amount)
# cast the pointer to the buffer to the required type
pBuffer = ctypes.cast(ctypes.pointer(buffer),
ctypes.POINTER(ctypes.c_uint8))
di.pData = pBuffer
# di.Bit = di.Bit
# fixme 分批读取 snap7单次20个以上报错
def readten(data_items):
"""
:type data_items: object
"""
# print(type(data_items))
# print(type(data_items[10:20]))
# a=plc.read_multi_vars(data_items[10:20])
# print(a)
l = len(data_items) # 变量表长度，如果大于20 必须分批读取 snp7
x = l // 20 # 取整
y = l % 20 # 取余数
a = 0 # 每一组变量的上标
val = [] # 初始化列表 每一组变量值
for n in range(x):
if n < x:
val = val + plc.read_multi_vars(data_items)
a += 1
n += 1
if n == x and y != 0:
val = val + plc.read_multi_vars(data_items)
val2 = val
return val2
result, data_items = plc.read_multi_vars(data_items)
# print('读取的原始数据',data_items)
ttt = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
# for di in data_items:
# check_error(di.Result)
result_values = []
# function to cast bytes to match data_types[] above
# byte_to_value = [util.get_bool, util.get_real, util.get_int,util.get_dword,util.get_string]
# unpack and test the result of each read
# todo 做一个函数列表，合并循环。逻辑上需要先读取，后get_bool
for i in range(0, len(data_items)):
# btv = byte_to_value[i]
ddd = data_items[i]
# print(ddd)
d_bit = int(tag_address[i].split('.')[1])
# value = btv(di.pData, 0)
if data_type[i] == 'Bool':
value = util.get_bool(ddd.pData, 0, d_bit)
elif data_type[i] == 'Real':
value = util.get_real(ddd.pData, d_bit)
elif data_type[i] == 'Int':
value = util.get_int(ddd.pData, d_bit)
elif data_type[i] == 'Dword':
value = util.get_dword(ddd.pData, d_bit)
elif data_type[i] == 'String':
value = util.get_string(ddd.pData, d_bit)
# assert isinstance(value, object)
result_values.append(value)
# print(result_values)
# todo
# client.disconnect()
# client.destroy()
siemensdata = dict(zip(tag_name, result_values))
print(siemensdata)
return siemensdata, ttt
def s7_multi_read(plc, tag_type, tag_address, data_type, tag_name):
'''
从s7_read_excel处理完的变量表中批量读取变量
'''
taglens = len(tag_type)
data_items = (S7DataItem * taglens)() # 括号 数组
# fixme 如果只有一个变量的情况 可能会有bug
# 生成 data_items 待读取的变量结构体
for i in range(taglens):
# print(i)
data_items[i].Area = areas[tag_type[i]] # 数据类型
data_items[i].WordLen = ctypes.c_int32(S7WLByte)
data_items[i].Result = ctypes.c_int32(0)
data_items[i].DBNumber = ctypes.c_int32(0) # DB块 非DB写0
data_items[i].Start = ctypes.c_int32(
int(tag_address[i].split('.')[0])) # byte地址
data_items[i].Amount = ctypes.c_int32(8) # 读取8位
for di in data_items:
# create the buffer
buffer = ctypes.create_string_buffer(di.Amount)
# cast the pointer to the buffer to the required type
pBuffer = ctypes.cast(ctypes.pointer(buffer),
ctypes.POINTER(ctypes.c_uint8))
di.pData = pBuffer
# fixme 分批读取 snap7单次20个以上报错 数组切片报错 暂时未使用
def readten(data_items):
"""
:type data_items: object
"""
# print(type(data_items))
# print(type(data_items[10:20]))
# a=plc.read_multi_vars(data_items[10:20])
# print(a)
l = len(data_items) # 变量表长度，如果大于20 必须分批读取 snp7
x = l // 20 # 取整
y = l % 20 # 取余数
a = 0 # 每一组变量的上标
val = [] # 初始化列表 每一组变量值
for n in range(x):
if n < x:
val = val + plc.read_multi_vars(data_items)
a += 1
n += 1
if n == x and y != 0:
val = val + plc.read_multi_vars(data_items)
val2 = val
return val2
result, data_items = plc.read_multi_vars(data_items)
# print('读取的原始数据',data_items)
ttt = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
for di in data_items:
check_error(di.Result)
result_values = []
# function to cast bytes to match data_types[] above
# byte_to_value = [util.get_bool, util.get_real, util.get_int,util.get_dword,util.get_string]
# unpack and test the result of each read
# todo 做一个函数列表，合并循环。逻辑上需要先读取，后get_bool
for i in range(0, len(data_items)):
ddd = data_items[i]
d_bit = int(tag_address[i].split('.')[1])
if data_type[i] == 'Bool':
value = util.get_bool(ddd.pData, 0, d_bit)
elif data_type[i] == 'Real':
value = util.get_real(ddd.pData, d_bit)
elif data_type[i] == 'Int':
value = util.get_int(ddd.pData, d_bit)
elif data_type[i] == 'Dword':
value = util.get_dword(ddd.pData, d_bit)
elif data_type[i] == 'String':
value = util.get_string(ddd.pData, d_bit)
result_values.append(value)
# fixme
# client.disconnect()
# client.destroy()
siemensdata = dict(zip(tag_name, result_values))
# print(siemensdata)
return siemensdata, ttt
data_items[i].DBNumber = ctypes.c_int32(int(numero))
data_items[i].Start = ctypes.c_int32(
8 * int(byte) + int(bit)
) # al estar en modo bit es 8 bits * 5 bytes ya que en el DB0.DBX5.0
data_items[i].Amount = ctypes.c_int32(getattr(snap7types, tipo))
for di in data_items:
# create the buffer
buffer = ctypes.create_string_buffer(di.Amount)
# cast the pointer to the buffer to the required type
pBuffer = ctypes.cast(ctypes.pointer(buffer),
ctypes.POINTER(ctypes.c_uint8))
di.pData = pBuffer
result, data_items = plc.read_multi_vars(data_items)
for di in data_items:
check_error(di.Result)
result_values = []
for di in data_items:
if di.WordLen == getattr(snap7types, 'S7WLBit'):
value = util.get_bool(di.pData, 0, 0)
elif di.WordLen == getattr(snap7types, 'S7WLByte'):
value = util.get_int(di.pData, 0)
elif di.WordLen == getattr(snap7types, 'S7WLDWord'):
value = util.get_dword(di.pData, 0)
elif di.WordLen == getattr(snap7types, 'S7WLReal'):
value = util.get_real(di.pData, 0)
result_values.append(value)
print(result_values)