print(', '.join(engineers_rdflib.vars))
for solution in engineers_rdflib.bindings:
print(', '.join([solution[var].n3() for var in engineers_rdflib.vars]))
print('(end)')
if print_examples:
print('Engineers (SPARQL through rdflib, took {time:.3f} s): {result}'.format(
time=elapsed_rdflib, result=engineers_rdflib.bindings))
# Present results ----------------------------------------------------------------------------------
if show_results_as_webpage:
descriptors = [
HtmlDesc(
'Input Graph',
graph_algebra,
'The RDF graph source:' + sample_graph
),
HtmlDesc(
'Result',
engineers_algebra,
'Equivalent to the SPARQL query:' + query_rdflib + '\nWith the JSON result\n\n'
+ engineers_algebra_json.getvalue()
)
]
html = math_object_as_html('Example 1: Simple Query', descriptors)
open_webpage_from_html_str(html)
if print_examples:
print('Input graph:', sample_graph)
print('Input graph (as MathObject):', graph_algebra)
# Query the imported graph using general pattern matching APIs.
names = match_and_project(
graph_algebra,
{'p': rdflib.URIRef('rdf:name')},
{'s': '?eng', 'o': '?name'}
)
engineers = match_and_project(
graph_algebra,
{'p': rdflib.URIRef('rdf:type'), 'o': rdflib.URIRef('cat:engineer')},
{'s': '?eng'}
)
engs_and_names = clans.functional_cross_union(names, engineers)
if print_examples:
print('Engineers and their names:', engs_and_names)
# Present results.
if show_results_as_webpage:
descriptors = [
HtmlDesc('Input Graph', graph_algebra, 'The RDF graph source:' + sample_graph),
HtmlDesc('Result', engs_and_names, 'Only engineers with names.')
]
html = math_object_as_html('Simple Pattern Match Example', descriptors)
open_webpage_from_html_str(html)
# Import and print the input graph.
graph_algebra = import_graph(io.StringIO(sample_graph), rdf_format='turtle')
if print_examples:
print('Input graph:', sample_graph)
print('Input graph (as MathObject):', graph_algebra)
# Query the imported graph using general pattern matching APIs.
names = match_and_project(graph_algebra, {'p': rdflib.URIRef('rdf:name')}, {
's': '?eng',
'o': '?name'
})
engineers = match_and_project(graph_algebra, {
'p': rdflib.URIRef('rdf:type'),
'o': rdflib.URIRef('cat:engineer')
}, {'s': '?eng'})
engs_and_names = clans.cross_functional_union(names, engineers)
if print_examples:
print('Engineers and their names:', engs_and_names)
# Present results.
if show_results_as_webpage:
descriptors = [
HtmlDesc('Input Graph', graph_algebra,
'The RDF graph source:' + sample_graph),
HtmlDesc('Result', engs_and_names, 'Only engineers with names.')
]
html = math_object_as_html('Simple Pattern Match Example', descriptors)
open_webpage_from_html_str(html)
print(', '.join(engineers_rdflib.vars))
for solution in engineers_rdflib.bindings:
print(', '.join([solution[var].n3() for var in engineers_rdflib.vars]))
print('(end)')
if print_examples:
print('Engineers (SPARQL through rdflib, took {time:.3f} s): {result}'.format(
time=elapsed_rdflib, result=engineers_rdflib.bindings))
# Present results ----------------------------------------------------------------------------------
if show_results_as_webpage:
descriptors = [
HtmlDesc(
'Input Graph',
graph_algebra,
'The RDF graph source:' + sample_graph
),
HtmlDesc(
'Result',
engineers_algebra,
'Equivalent to the SPARQL query:' + query_rdflib + '\nWith the JSON result\n\n'
+ engineers_algebra_json.getvalue()
)
]
html = math_object_as_html('Example 1: Simple Query', descriptors)
open_webpage_from_html_str(html)
