def create_data_for_fb(self, _bytearray):
"""
Create data for firebase
:param _bytearray
:return tuple (path, dict)
:raises
TypeError
OverflowError
ValueError
"""
if not isinstance(_bytearray, bytearray):
raise TypeError("A parameter must be bytearray")
if self.__size != len(_bytearray):
raise OverflowError("Bytearray is not correct")
holder = {}
for index, foo in enumerate(self.__template):
data_type = foo['Data_type']
offset = float(foo['Offset'])
row = None
old = None
if data_type == 'Bool':
byte, bit = str(offset).split('.')
byte, bit = int(byte), int(bit)
old = get_bool(self.__datablock, byte, bit)
row = get_bool(_bytearray, byte, bit)
elif data_type == 'String':
offset = int(offset)
old = get_string(self.__datablock, offset, 256)
row = get_string(_bytearray, offset, 256)
elif data_type == 'Int':
offset = int(offset)
old = get_int(self.__datablock, offset)
row = get_int(_bytearray, offset)
elif data_type == 'Real':
offset = int(offset)
old = get_real(self.__datablock, offset)
row = get_real(_bytearray, offset)
else:
raise ValueError("data_type error")
if old == row:
continue
holder[index] = row
self.__datablock = _bytearray
return 'current/datablocks/DB{_num}/data'.format(
_num=self.__datablock_number), holder
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 readValue(area, db, datatype, offset, size=0):
if area == 'S7AreaDB' and db != 0:
(buf, start) = readDataBlock(db, datatype, offset, size)
elif area == 'S7AreaMK':
(buf, start) = readMarker(datatype, offset, size)
else:
(buf, start) = (b'', 0)
if buf:
if datatype == 'INTEGER':
value = s7util.get_int(buf, start)
elif datatype == 'REAL':
value = s7util.get_real(buf, start)
elif datatype == 'STRING':
value = s7util.get_string(buf, start, size)
elif datatype == 'DATE_TIME':
value = buf[:8]
elif datatype == 'ARRAY OF REAL':
value = []
if len(buf) >= start + (4 * size):
for i in range(0, size):
value.append(s7util.get_real(buf, start + (4 * i)))
else:
# print('setting default value')
if datatype == 'INTEGER':
value = 0
elif datatype == 'REAL':
value = 0.0
elif datatype == 'STRING':
value = ''
elif datatype == 'DATE_TIME':
value = b''
elif datatype == 'ARRAY OF REAL':
value = []
for i in range(0, size):
value.append(0.0)
return value
def test_read_string(self):
data = self.client.db_read(0, 100, 254)
self.assertEqual(get_string(data, 0, 254),
"the brown fox jumps over the lazy dog")
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