Ejemplo n.º 1
0
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)
Ejemplo n.º 2
0
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)
Ejemplo n.º 4
0
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)