This release is a pre-release and may not be stable for production use.
CIM-Loader
Automated scripts for
- uploading and downloading CIM files from various databases
- converting CIM files between common formats (XML, TTL, etc.)
Installation
The library can be pip installed from PyPi using
pip install cim-loader
To install a specific branch, clone the repo and install it using
git clone https://github.com/PNNL-CIM-Tools/CIM-Loader.git -b develop
pip install -e CIM-Loader
Usage
CIM-Loader provides a consistent API for uploading CIM data to various databases. All uploaders support multiple RDF formats and can transfer data between databases using CIMantic Graphs.
Basic File Upload
All uploaders use a consistent API: upload_from_file(filepath, filename)
import os
from cimloader.uploaders import BlazegraphUploader
# Configure via environment variables
os.environ['CIMG_URL'] = 'http://localhost:8889/bigdata/namespace/kb/sparql'
# Create uploader and upload file
loader = BlazegraphUploader()
loader.upload_from_file(filepath='./test_models', filename='ieee13_seto.xml')
Example: Upload to Different Databases
import os
# Blazegraph
os.environ['CIMG_URL'] = 'http://localhost:8889/bigdata/namespace/kb/sparql'
from cimloader.uploaders import BlazegraphUploader
blazegraph = BlazegraphUploader()
blazegraph.upload_from_file(filepath='./models', filename='grid.xml')
# Neo4j
os.environ['CIMG_URL'] = 'neo4j://localhost:7687'
os.environ['CIMG_USERNAME'] = 'neo4j'
os.environ['CIMG_PASSWORD'] = 'password'
from cimloader.uploaders import Neo4jUploader
neo4j = Neo4jUploader()
neo4j.upload_from_file(filepath='./models', filename='grid.xml')
# Oxigraph
os.environ['CIMG_URL'] = 'http://localhost:7878/query'
from cimloader.uploaders import OxigraphUploader
oxigraph = OxigraphUploader()
oxigraph.upload_from_file(filepath='./models', filename='grid.xml')
Database Migration
Transfer data between databases using CIMantic Graphs:
from cimgraph.models import FeederModel
from cimgraph.databases import BlazegraphConnection
from cimloader.uploaders import Neo4jUploader
import cimgraph.data_profile.rc4_2021 as cim
# Load from Blazegraph
os.environ['CIMG_URL'] = 'http://localhost:8889/bigdata/namespace/kb/sparql'
blazegraph = BlazegraphConnection()
feeder = cim.Feeder(mRID='feeder-123')
source = FeederModel(container=feeder, connection=blazegraph)
# Upload to Neo4j
os.environ['CIMG_URL'] = 'neo4j://localhost:7687'
neo4j = Neo4jUploader()
neo4j.upload_from_graphmodel(source.graph)
See the examples/ directory for complete migration and merging examples.
Format Support
Format is auto-detected from the file extension. Pass any of the supported
extensions to upload_from_file:
- RDF/XML —
.xml,.rdf - Turtle —
.ttl,.turtle - N-Triples —
.nt,.ntriples - N-Quads —
.nq,.nquads - JSON-LD —
.jsonld,.json-ld(Blazegraph, Neo4j) - TriG —
.trig(Blazegraph, Neo4j)
uploader.upload_from_file(filepath='./models', filename='grid.xml')
uploader.upload_from_file(filepath='./models', filename='grid.ttl')
See design/UPLOADER_API.md for full API details and
design/STYLE_GUIDE.md for coding conventions.
Databases Supported
Currently supported:
- Blazegraph
- Neo4j
- Oxigraph
- AWS Neptune (experimental — see
docs/NEPTUNE.md)
Planned (see design/TODO.md):
- Apache AGE (PostgreSQL graph extension — replacing the legacy MySQL connector)
- GraphDB
Support may be added in the future for:
- Apache Tinkerpop
- SQlite
- AVEVA PI Historian
- Others as requested
Testing
CIM-Loader uses pytest for integration testing. Tests verify functionality against real database instances running in Docker containers.
Setup Test Environment
- Install test dependencies:
pip install -e ".[test]"
- Start database services:
docker-compose up -d
This starts all database services:
- Blazegraph on port 8889
- Neo4j on ports 7474 (HTTP) and 7687 (Bolt)
- Oxigraph on port 7878
Running Tests
Run all integration tests:
pytest tests/ -v
Run tests for a specific database:
pytest tests/test_blazegraph.py -v
pytest tests/test_neo4j.py -v
pytest tests/test_oxigraph.py -v
pytest tests/test_mysql.py -v
Run tests using markers:
pytest -m blazegraph -v
pytest -m neo4j -v
pytest -m oxigraph -v
pytest -m mysql -v
Skip slow tests:
pytest -m "not slow" -v
Run with coverage report:
pytest --cov=cimloader --cov-report=html
Test Organization
tests/conftest.py- Shared fixtures and test configurationtests/test_blazegraph.py- Blazegraph triplestore teststests/test_neo4j.py- Neo4j graph database teststests/test_oxigraph.py- Oxigraph triplestore teststests/test_mysql.py- MySQL relational database teststests/test_models/- Sample CIM XML files for testing
CI/CD
Tests can be integrated into CI/CD pipelines. Make sure Docker is available and services are started before running tests.
Example GitHub Actions workflow:
- name: Start services
run: docker-compose up -d
- name: Wait for services
run: sleep 10
- name: Run tests
run: pytest tests/ -v
Attribution and Disclaimer
This software was created under a project sponsored by the U.S. Department of Energy’s Office of Electricity, an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights.
Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.
PACIFIC NORTHWEST NATIONAL LABORATORY operated by BATTELLE for the UNITED STATES DEPARTMENT OF ENERGY under Contract DE-AC05-76RL01830
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