from buildingmotif import BuildingMOTIF
from buildingmotif.dataclasses import Library, Model
import ontoenv
import logging

# Create a BuildingMOTIF object. If you do not have Java installed, remove the "shacl_engine" parameter
bm = BuildingMOTIF('sqlite://', shacl_engine='topquadrant', log_level=logging.ERROR)

# load 223P library. We will load a recent copy from the models.open223.info
# git repository; later, we will load this from the location of the actual standard
s223 = Library.load(ontology_graph="https://open223.info/223p.ttl", infer_templates=False, run_shacl_inference=False)
unit = Library.load(ontology_graph="http://qudt.org/3.1.1/vocab/unit", infer_templates=False, run_shacl_inference=False)
quantitykind = Library.load(ontology_graph="http://qudt.org/3.1.1/vocab/quantitykind", infer_templates=False, run_shacl_inference=False)

# load the model into the BuildingMOTIF instance
model = Model.create("urn:scb-vrf")
model.graph.parse("https://models.open223.info/scb-vrf.ttl")

# validate the model against 223P ontology
ctx = model.validate([s223.get_shape_collection(),
                      unit.get_shape_collection(),
                      quantitykind.get_shape_collection()],
                     error_on_missing_imports=False)

# print the validation result
print(f"Model is valid: {ctx.valid}")

# if the model is invalid, print the validation report
if not ctx.valid:
    print(ctx.report_string[:1000]) # first 1000 characters of the report

# BuildingMOTIF can also interpret the report to provide recommendations on fixes
for focus_node, diffs in ctx.get_reasons_with_severity("Violation").items():
    if len(diffs) == 0:
        continue
    print(focus_node)
    for diff in diffs:
        print("  - " + diff.reason())