cimrdf.py 1.3

Generate Python data structures from CIM RDF profiles, parse and serialize CIM-compliant information objects, according to IEC 61970-501 standard

cimrdf.py

Generate Python data structures from CIM RDF profiles, parse and serialize CIM-compliant information objects, according to IEC 61970-501 standard.

Installing

$ git clone https://github.com/bressanmarcos/cimrdf.py.git
$ cd cimrdf.py
$ python setup.py install 

Using

1. Create your RDF artifact with you preferred utils
2. Convert it into Python data structures with:

cimrdfpy input_filename.xml output.py

Creating CIM RDF instances

3a. Use the generated classes from output.py to create your instances

from output import *

ei = EquivalentInjection()
ei.IdentifiedObject_mRID = 'EquivalentNW243'
t = Terminal()
t.Terminal_sequenceNumber = 1
t.Terminal_ConductingEquipment = ei

s = Switch()
s.Switch_normalOpen = True
s.IdentifiedObject_mRID = 'SW12'
t1 = Terminal()
t1.Terminal_sequenceNumber = 1
t1.Terminal_ConductingEquipment = s
t2 = Terminal()
t2.Terminal_sequenceNumber = 2
t2.Terminal_ConductingEquipment = s

cn = ConnectivityNode()
cn.IdentifiedObject_mRID = 'Node23'
cn.ConnectivityNode_Terminals = [t1, t] 
// This associates reciprocally Terminals t and t1 to ConnectivityNode cn, and vice versa

4a. Create a new document instance with all objects

new = DocumentCIMRDF([ei, t, s, t1, t2, cn])

The available functions are:

• new.dump(): Pretty-Print the document to stdout
• new.pack(): Get the document's ElementTree (xml.etree.ElementTree) instance
• new.tostring(): Get the XML stringified version of the document
• new.add_elements( ... ): Add new elements (one or a list) to the document

Parsing CIM RDF instances

3b. Use proper functions to parse file or string.

instances = fromstring(xmlstring)
print(instances)
// [list of instances]

The available functions are:

• fromstring(xmlstring): Get list of instances from CIM RDF string
• fromfile(filename): Get list of instances from CIM RDF file