Metadata-Version: 2.1
Name: netas-xmla-with-dax
Version: 0.8.0.1
Summary: Access olap data sources through xmla
Home-page: https://github.com/may-day/olap
Author: Norman Krämer
Author-email: kraemer.norman@googlemail.com
License: Apache Software License 2.0
Description: 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:
        
        ```python
        
            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:
        ```python
        
            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.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
