def get_graph_score_histogram_spec(graph_id: int):
"""
Returns a vega spec for a histogram of the graph scores
"""
db_graph: models.PackageGraph = models.get_graph_by_id(graph_id)
return (package_score_reports_to_scores_histogram(
db_graph.distinct_package_reports).properties(
width=400, height=400).configure_axis(grid=False).to_json())
def get_scoring_graph(graph_id: int, package_report_field: str):
log.info(
f"getting scoring graph {graph_id} for package report field {package_report_field}"
)
component: Optional[Type[
scoring.
ScoreComponent]] = scoring.find_component_with_package_report_field(
package_report_field)
if component is None:
return NotFound(
f"Unable to find scoring component to provide field {package_report_field}"
)
log.info(f"rendering score component graph with component: {component}")
# find graph and score it with that component
db_graph: models.PackageGraph = models.get_graph_by_id(graph_id)
g: nx.DiGraph = graph_util.package_graph_to_networkx_graph(db_graph)
reports_by_package_version_id: Dict[
models.PackageVersionID,
models.PackageReport] = scoring.score_package_graph(
db_graph, [component], g)
graph_util.update_node_attrs(
g,
report=reports_by_package_version_id,
label={
pv.id: f"{pv.name}@{pv.version}"
for pv in db_graph.distinct_package_versions_by_id.values()
},
)
dot_graph: graphviz.Digraph = graph_util.nx_digraph_to_graphviz_digraph(g)
dot_graph.attr(rankdir="LR")
for node_id, node_data in g.nodes(data=True):
# add package report field name and value to the label
label = f"{node_data['label']}\n\n{package_report_field}:\n{getattr(node_data['report'], package_report_field, None)}"
dot_graph.node(str(node_id), label=label)
log.debug(f"rendering score component graph: {dot_graph!r}")
return dot_graph.pipe(format="svg").decode("utf-8")
def get_graph(graph_id):
"""
Returns an svg rendered graphviz dot graph of the given scan
graph result for the given graph_id
"""
db_graph: models.PackageGraph = models.get_graph_by_id(graph_id)
g: nx.DiGraph = graph_util.package_graph_to_networkx_graph(db_graph)
graph_util.update_node_attrs(
g,
label={
pv.id: f"{pv.name}@{pv.version}"
for pv in db_graph.distinct_package_versions_by_id.values()
},
)
dot_graph: graphviz.Digraph = graph_util.nx_digraph_to_graphviz_digraph(g)
dot_graph.attr(rankdir="LR")
log.debug(f"dot for graph {graph_id}: {dot_graph!r}")
return dot_graph.pipe(format="svg").decode("utf-8")
def get_condensate_graph(graph_id):
"""
Returns an svg rendered graphviz dot graph of the given scan
graph result for the given graph_id
"""
db_graph: models.PackageGraph = models.get_graph_by_id(graph_id)
g: nx.DiGraph = graph_util.package_graph_to_networkx_graph(db_graph)
c: nx.DiGraph = graph_traversal.condensation(g)
graph_util.update_node_attrs(
g,
label={
pv.id: f"{pv.name}@{pv.version}"
for pv in db_graph.distinct_package_versions_by_id.values()
},
)
dot_graph: graphviz.Digraph = graph_util.nx_digraph_to_graphviz_digraph(c)
dot_graph.attr(rankdir="LR")
for scc_node_ids in graph_traversal.outer_in_dag_iter(c):
with dot_graph.subgraph() as s:
s.attr(rank="same")
for scc_node_id in scc_node_ids:
log.debug(
f"scc_node_id {scc_node_id} members {c.nodes[scc_node_id]['members']}"
)
component_pkgs = "\n".join(
g.nodes[m_id]["label"]
for m_id in c.nodes[scc_node_id]["members"])
s.node(
str(scc_node_id),
label=f"scc_id: {scc_node_id}\nmembers: {component_pkgs}",
)
log.debug(f"dot for condensate graph {graph_id}: {dot_graph!r}")
return dot_graph.pipe(format="svg").decode("utf-8")