netas-xmla-with-dax 0.8.0.1

Access olap data sources through xmla

olap.xmla

This package is meant for accessing xmla datasources - see http://en.wikipedia.org/wiki/XML\_for\_Analysis

Building

In this directory, run:

python setup.py build

Testing

Tests are done against the Mondrian, SSAS XMLA providers. The testsDiscover module tests behavior with different XMLA providers with the Discover command while testsExecute does the same with the Execute command. Note that you likely need to modify the sources if you want to test yourself since they contain specifics (namely the location of the services and names of the data sources).

Example

Here is an example how to use it:

    import olap.xmla.xmla as xmla
    p = xmla.XMLAProvider()
    # mondrian
    c = p.connect(location="http://localhost:8080/mondrian/xmla")

    # or ssas - note that thhis needs setup on an iis
    # also you'll probably need to authenticate using kerberos
    # from requests_kerberos import HTTPKerberosAuth
    # c = p.connect(location="https://my-as-server/olap/msmdpump.dll", 
    #               sslverify="/path/to/my/as-servers-ca-cert.pem", auth=HTTPKerberosAuth())

    # getting info about provided data
    print(c.getDatasources())
    print(c.getMDSchemaCubes())
    # for ssas a catalog is needed, so the call would be like
    # get a catalogname from a call to c.getDBSchemaCatalogs()
    # c.getMDSchemaCubes(properties={"Catalog":"a catalogname"})

    # execute a MDX (working against the foodmart sample catalog of mondrian)
    cmd= """
    select {[Measures].ALLMEMBERS} * {[Time].[1997].[Q2].children} on columns, 
    [Gender].[Gender].ALLMEMBERS on rows 
    from [Sales]
    """

    res = c.Execute(cmd, Catalog="FoodMart")
    #return only the Value property from the cells
    res.getSlice(properties="Value")
    # or two props
    res.getSlice(properties=["Value", "FmtValue"]) 

    # to return some subcube from the result you can
    # return all
    res.getSlice()
    # just the 4th column
    res.getSlice(Axis0=3) 
    # same as above, SlicerAxis is ignored
    res.getSlice(Axis0=3, SlicerAxis=0) 
    # return the data sliced at the 2nd and 3rd row
    res.getSlice(Axis1=[1,2]) 
    # return the data sliced at the 2nd and 3rd row and at the 4th column
    res.getSlice(Axis0=3, Axis1=[1,2]) 

Using the procedural interface:

    import olap.xmla.xmla as xmla

    p = xmla.XMLAProvider()
    c = p.connect(location="http://localhost:8080/mondrian/xmla")
    s = c.getOLAPSource()

    # import olap.interfaces as oi
    # oi.IOLAPSource.providedBy(s) == True

    s.getCatalogs()
    s.getCatalog("FoodMart").getCubes()
    s.getCatalog("FoodMart").getCube("HR").getDimensions()
    s.getCatalog("FoodMart").getCube("HR").getDimension("[Department]").\
    getMembers()
    s.getCatalog("FoodMart").getCube("HR").getDimension("[Department]").\
    getMember("[Department].[14]")

    cmd= """
    select {[Measures].ALLMEMBERS} * {[Time].[1997].[Q2].children} on columns, 
    [Gender].[Gender].ALLMEMBERS on rows 
    from [Sales]
    """
    res=s.getCatalog("FoodMart").query(cmd)
    res.getSlice()

Note

The contained vs.wsdl originates from the following package: http://www.microsoft.com/en-us/download/confirmation.aspx?id=9388 and was subsequently modified (which parameters go in the soap header) to work with the zeep.