I have a VBA script in Microsoft Access. The VBA script is part of a large project with multiple people, and so it is not possible to leave the VBA environment.
In a section of my script, I need to do complicated linear algebra on a table quickly. So, I move the VBA tables written as recordsets) into Python to do linear algebra, and back into VBA. The matrices in python are represented as numpy
arrays.
Some of the linear algebra is proprietary and so we are compiling the proprietary scripts with pyinstaller.
The details of the process are as follows:
input.csv
.input.csv
as a numpy
matrix, does linear algebra on it, and creates an output csv file output.csv
. output.csv
. input.csv
file and output.csv
file.This process is inefficient.
Is there a way to load VBA matrices into Python (and back) without the csv clutter? Do these methods work with compiled python code through pyinstaller?
I have found the following examples on stackoverflow that are relevant. However, they do not address my problem specifically.
Return result from Python to Vba
How to pass Variable from Python to VBA Sub
NumPy arrays have a fixed size at creation, unlike Python lists (which can grow dynamically). Changing the size of an ndarray will create a new array and delete the original. The elements in a NumPy array are all required to be of the same data type, and thus will be the same size in memory.
1. NumPy uses much less memory to store data. The NumPy arrays takes significantly less amount of memory as compared to python lists. It also provides a mechanism of specifying the data types of the contents, which allows further optimisation of the code.
Because the Numpy array is densely packed in memory due to its homogeneous type, it also frees the memory faster. So overall a task executed in Numpy is around 5 to 100 times faster than the standard python list, which is a significant leap in terms of speed.
NumPy arrays are faster and more compact than Python lists. An array consumes less memory and is convenient to use. NumPy uses much less memory to store data and it provides a mechanism of specifying the data types. This allows the code to be optimized even further.
Either retrieve the COM running instance of Access and get/set the data directly with the python script via the COM API:
VBA:
Private Cache
Public Function GetData()
GetData = Cache
Cache = Empty
End Function
Public Sub SetData(data)
Cache = data
End Sub
Sub Usage()
Dim wshell
Set wshell = VBA.CreateObject("WScript.Shell")
' Make the data available via GetData()'
Cache = Array(4, 6, 8, 9)
' Launch the python script compiled with pylauncher '
Debug.Assert 0 = wshell.Run("C:\dev\myapp.exe", 0, True)
' Handle the returned data '
Debug.Assert Cache(3) = 2
End Sub
Python (myapp.exe
):
import win32com.client
if __name__ == "__main__":
# get the running instance of Access
app = win32com.client.GetObject(Class="Access.Application")
# get some data from Access
data = app.run("GetData")
# return some data to Access
app.run("SetData", [1, 2, 3, 4])
Or create a COM server to expose some functions to Access :
VBA:
Sub Usage()
Dim Py As Object
Set Py = CreateObject("Python.MyModule")
Dim result
result = Py.MyFunction(Array(5, 6, 7, 8))
End Sub
Python (myserver.exe
or myserver.py
):
import sys, os, win32api, win32com.server.localserver, win32com.server.register
class MyModule(object):
_reg_clsid_ = "{5B4A4174-EE23-4B70-99F9-E57958CFE3DF}"
_reg_desc_ = "My Python COM Server"
_reg_progid_ = "Python.MyModule"
_public_methods_ = ['MyFunction']
def MyFunction(self, data) :
return [(1,2), (3, 4)]
def register(*classes) :
regsz = lambda key, val: win32api.RegSetValue(-2147483647, key, 1, val)
isPy = not sys.argv[0].lower().endswith('.exe')
python_path = isPy and win32com.server.register._find_localserver_exe(1)
server_path = isPy and win32com.server.register._find_localserver_module()
for cls in classes :
if isPy :
file_path = sys.modules[cls.__module__].__file__
class_name = '%s.%s' % (os.path.splitext(os.path.basename(file_path))[0], cls.__name__)
command = '"%s" "%s" %s' % (python_path, server_path, cls._reg_clsid_)
else :
file_path = sys.argv[0]
class_name = '%s.%s' % (cls.__module__, cls.__name__)
command = '"%s" %s' % (file_path, cls._reg_clsid_)
regsz("SOFTWARE\\Classes\\" + cls._reg_progid_ + '\\CLSID', cls._reg_clsid_)
regsz("SOFTWARE\\Classes\\AppID\\" + cls._reg_clsid_, cls._reg_progid_)
regsz("SOFTWARE\\Classes\\CLSID\\" + cls._reg_clsid_, cls._reg_desc_)
regsz("SOFTWARE\\Classes\\CLSID\\" + cls._reg_clsid_ + '\\LocalServer32', command)
regsz("SOFTWARE\\Classes\\CLSID\\" + cls._reg_clsid_ + '\\ProgID', cls._reg_progid_)
regsz("SOFTWARE\\Classes\\CLSID\\" + cls._reg_clsid_ + '\\PythonCOM', class_name)
regsz("SOFTWARE\\Classes\\CLSID\\" + cls._reg_clsid_ + '\\PythonCOMPath', os.path.dirname(file_path))
regsz("SOFTWARE\\Classes\\CLSID\\" + cls._reg_clsid_ + '\\Debugging', "0")
print('Registered ' + cls._reg_progid_)
if __name__ == "__main__":
if len(sys.argv) > 1 :
win32com.server.localserver.serve(set([v for v in sys.argv if v[0] == '{']))
else :
register(MyModule)
Note that you'll have to run the script once without any argument to register the class and to make it available to VBA.CreateObject
.
Both solutions work with pylauncher
and the array received in python can be converted with numpy.array(data)
.
Dependency :
https://pypi.python.org/pypi/pywin32
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