In addition to the Client and the standard OGM methods shown above, you can also operate on the OrientDB database. This provides you with basic support for Gremlin graph traversal, through Groovy scripts.
In order to use scripts in your application, you first need to add them to the OGM
Graph class. Once added, you can call them from within your application, using the
For instance, say that you want to add a set of Groovy scripts from the
scripts/ directory. You might use something like this to do so:
# Module Imports import pathlib from pyorient.groovy import GroovyScripts # Iterate through scripts/ for path in pathlib.Path('scripts/').iterdir(): # Check if Grovvy Script if path.is_file() and path.suffix == '.groovy': # Add Script graph.scripts.add(GroovyScripts.from_file(str(path)))
Here, your application uses the
pathlib module to iterate over each file and directory in the
scripts/ directory. For each instance, it checks whether the instance is a file with the
.groovy extension. It then parses out functions found in these files and adds them to the
Scripts that you add to the
scripts attribute are callable through the
gremlin() method. For the example of the smart home application, let's say that you have a
compile_data() function that compiles sensor data in building charts for the web interface. You give it the type of sensor you want to read and it iterates through each zone as data points for the charts.
pollen_chart = graph.gremlin('compile_data', 'pollen')
This runs the
compile_data() function, passing the string
pollen to it, to indicate that you would like to compile data from pollen sensors. It then returns the results to the
NOTE: In the event that you need namespacing, both the
gremlin()methods allow you to set
namespacearguments. Using this, you can separate different functions with the same name.