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graph

A module for visualising ontologies using graphviz.

OntoGraph

Class for visualising an ontology.

Parameters

ontology : ontopy.Ontology instance Ontology to visualize. root : None | graph.ALL | string | owlready2.ThingClass instance Name or owlready2 entity of root node to plot subgraph below. If root is graph.ALL, all classes will be included in the subgraph. leaves : None | sequence A sequence of leaf node names for generating sub-graphs. entities : None | sequence A sequence of entities to add to the graph. relations : "all" | str | None | sequence Sequence of relations to visualise. If "all", means to include all relations. style : None | dict | "default" A dict mapping the name of the different graphical elements to dicts of dot graph attributes. Supported graphical elements include: - graphtype : "Digraph" | "Graph" - graph : graph attributes (G) - class : nodes for classes (N) - root : additional attributes for root nodes (N) - leaf : additional attributes for leaf nodes (N) - defined_class : nodes for defined classes (N) - class_construct : nodes for class constructs (N) - individual : nodes for invididuals (N) - object_property : nodes for object properties (N) - data_property : nodes for data properties (N) - annotation_property : nodes for annotation properties (N) - added_node : nodes added because addnodes is true (N) - isA : edges for isA relations (E) - not : edges for not class constructs (E) - equivalent_to : edges for equivalent_to relations (E) - disjoint_with : edges for disjoint_with relations (E) - inverse_of : edges for inverse_of relations (E) - default_relation : default edges relations and restrictions (E) - relations : dict of styles for different relations (E) - inverse : default edges for inverse relations (E) - default_dataprop : default edges for data properties (E) - nodes : attribute for individual nodes (N) - edges : attribute for individual edges (E) If style is None or "default", the default style is used. See https://www.graphviz.org/doc/info/attrs.html edgelabels : None | bool | dict Whether to add labels to the edges of the generated graph. It is also possible to provide a dict mapping the full labels (with cardinality stripped off for restrictions) to some abbreviations. addnodes : bool Whether to add missing target nodes in relations. addconstructs : bool Whether to add nodes representing class constructs. included_namespaces : sequence In combination with root, only include classes with one of the listed namespaces. If empty (the default), nothing is excluded. included_ontologies : sequence In combination with root, only include classes defined in one of the listed ontologies. If empty (default), nothing is excluded. parents : int Include parents levels of parents. excluded_nodes : None | sequence Sequence of labels of nodes to exclude. graph : None | pydot.Dot instance Graphviz Digraph object to plot into. If None, a new graph object is created using the keyword arguments. imported : bool Whether to include imported classes if entities is None. kwargs : Passed to graphviz.Digraph.

Source code in ontopy/graph.py
class OntoGraph:  # pylint: disable=too-many-instance-attributes
    """Class for visualising an ontology.

    Parameters
    ----------
    ontology : ontopy.Ontology instance
        Ontology to visualize.
    root : None | graph.ALL | string | owlready2.ThingClass instance
        Name or owlready2 entity of root node to plot subgraph
        below.  If `root` is `graph.ALL`, all classes will be included
        in the subgraph.
    leaves : None | sequence
        A sequence of leaf node names for generating sub-graphs.
    entities : None | sequence
        A sequence of entities to add to the graph.
    relations : "all" | str | None | sequence
        Sequence of relations to visualise.  If "all", means to include
        all relations.
    style : None | dict | "default"
        A dict mapping the name of the different graphical elements
        to dicts of dot graph attributes. Supported graphical elements
        include:
          - graphtype : "Digraph" | "Graph"
          - graph : graph attributes (G)
          - class : nodes for classes (N)
          - root : additional attributes for root nodes (N)
          - leaf : additional attributes for leaf nodes (N)
          - defined_class : nodes for defined classes (N)
          - class_construct : nodes for class constructs (N)
          - individual : nodes for invididuals (N)
          - object_property : nodes for object properties (N)
          - data_property : nodes for data properties (N)
          - annotation_property : nodes for annotation properties (N)
          - added_node : nodes added because `addnodes` is true (N)
          - isA : edges for isA relations (E)
          - not : edges for not class constructs (E)
          - equivalent_to : edges for equivalent_to relations (E)
          - disjoint_with : edges for disjoint_with relations (E)
          - inverse_of : edges for inverse_of relations (E)
          - default_relation : default edges relations and restrictions (E)
          - relations : dict of styles for different relations (E)
          - inverse : default edges for inverse relations (E)
          - default_dataprop : default edges for data properties (E)
          - nodes : attribute for individual nodes (N)
          - edges : attribute for individual edges (E)
        If style is None or "default", the default style is used.
        See https://www.graphviz.org/doc/info/attrs.html
    edgelabels : None | bool | dict
        Whether to add labels to the edges of the generated graph.
        It is also possible to provide a dict mapping the
        full labels (with cardinality stripped off for restrictions)
        to some abbreviations.
    addnodes : bool
        Whether to add missing target nodes in relations.
    addconstructs : bool
        Whether to add nodes representing class constructs.
    included_namespaces : sequence
        In combination with `root`, only include classes with one of
        the listed namespaces.  If empty (the default), nothing is
        excluded.
    included_ontologies : sequence
        In combination with `root`, only include classes defined in
        one of the listed ontologies.  If empty (default), nothing is
        excluded.
    parents : int
        Include `parents` levels of parents.
    excluded_nodes : None | sequence
        Sequence of labels of nodes to exclude.
    graph : None | pydot.Dot instance
        Graphviz Digraph object to plot into.  If None, a new graph object
        is created using the keyword arguments.
    imported : bool
        Whether to include imported classes if `entities` is None.
    kwargs :
        Passed to graphviz.Digraph.
    """

    def __init__(  # pylint: disable=too-many-arguments,too-many-locals
        self,
        ontology,
        root=None,
        *,
        leaves=None,
        entities=None,
        relations="isA",
        style=None,
        edgelabels=None,
        addnodes=False,
        addconstructs=False,
        included_namespaces=(),
        included_ontologies=(),
        parents=0,
        excluded_nodes=None,
        graph=None,
        imported=False,
        **kwargs,
    ):
        if style is None or style == "default":
            style = _default_style

        if graph is None:
            graphtype = style.get("graphtype", "Digraph")
            dotcls = getattr(graphviz, graphtype)
            graph_attr = kwargs.pop("graph_attr", {})
            for key, value in style.get("graph", {}).items():
                graph_attr.setdefault(key, value)
            self.dot = dotcls(graph_attr=graph_attr, **kwargs)
            self.nodes = set()
            self.edges = set()
        else:
            if ontology != graph.ontology:
                raise ValueError(
                    "the same ontology must be used when extending a graph"
                )
            self.dot = graph.dot.copy()
            self.nodes = graph.nodes.copy()
            self.edges = graph.edges.copy()

        self.ontology = ontology
        self.relations = set(
            [relations] if isinstance(relations, str) else relations
        )
        self.style = style
        self.edgelabels = edgelabels
        self.addnodes = addnodes
        self.addconstructs = addconstructs
        self.excluded_nodes = set(excluded_nodes) if excluded_nodes else set()
        self.imported = imported

        if root == ALL:
            self.add_entities(
                relations=relations,
                edgelabels=edgelabels,
                addnodes=addnodes,
                addconstructs=addconstructs,
            )
        elif root:
            self.add_branch(
                root,
                leaves=leaves,
                relations=relations,
                edgelabels=edgelabels,
                addnodes=addnodes,
                addconstructs=addconstructs,
                included_namespaces=included_namespaces,
                included_ontologies=included_ontologies,
            )
            if parents:
                self.add_parents(
                    root,
                    levels=parents,
                    relations=relations,
                    edgelabels=edgelabels,
                    addnodes=addnodes,
                    addconstructs=addconstructs,
                )

        if entities:
            self.add_entities(
                entities=entities,
                relations=relations,
                edgelabels=edgelabels,
                addnodes=addnodes,
                addconstructs=addconstructs,
            )

    def add_entities(  # pylint: disable=too-many-arguments
        self,
        entities=None,
        *,
        relations="isA",
        edgelabels=None,
        addnodes=False,
        addconstructs=False,
        nodeattrs=None,
        **attrs,
    ):
        """Adds a sequence of entities to the graph.  If `entities` is None,
        all classes are added to the graph.

        `nodeattrs` is a dict mapping node names to are attributes for
        dedicated nodes.
        """
        if entities is None:
            entities = self.ontology.classes(imported=self.imported)
        self.add_nodes(entities, nodeattrs=nodeattrs, **attrs)
        self.add_edges(
            relations=relations,
            edgelabels=edgelabels,
            addnodes=addnodes,
            addconstructs=addconstructs,
            **attrs,
        )

    def add_branch(  # pylint: disable=too-many-arguments,too-many-locals
        self,
        root,
        *,
        leaves=None,
        include_leaves=True,
        strict_leaves=False,
        exclude=None,
        relations="isA",
        edgelabels=None,
        addnodes=False,
        addconstructs=False,
        included_namespaces=(),
        included_ontologies=(),
        include_parents="closest",
        **attrs,
    ):
        """Adds branch under `root` ending at any entity included in the
        sequence `leaves`.  If `include_leaves` is true, leaf classes are
        also included."""
        if leaves is None:
            leaves = ()
        classes = self.ontology.get_branch(
            root=root,
            leaves=leaves,
            include_leaves=include_leaves,
            strict_leaves=strict_leaves,
            exclude=exclude,
        )

        classes = filter_classes(
            classes,
            included_namespaces=included_namespaces,
            included_ontologies=included_ontologies,
        )

        nodeattrs = {}
        nodeattrs[get_label(root)] = self.style.get("root", {})
        for leaf in leaves:
            nodeattrs[get_label(leaf)] = self.style.get("leaf", {})

        self.add_entities(
            entities=classes,
            relations=relations,
            edgelabels=edgelabels,
            addnodes=addnodes,
            addconstructs=addconstructs,
            nodeattrs=nodeattrs,
            **attrs,
        )
        closest_ancestors = False
        ancestor_generations = None
        if include_parents == "closest":
            closest_ancestors = True
        elif isinstance(include_parents, int):
            ancestor_generations = include_parents
        parents = self.ontology.get_ancestors(
            classes,
            closest=closest_ancestors,
            generations=ancestor_generations,
            strict=True,
        )
        if parents:
            for parent in parents:
                nodeattrs[get_label(parent)] = self.style.get("parent_node", {})
            self.add_entities(
                entities=parents,
                relations=relations,
                edgelabels=edgelabels,
                addnodes=addnodes,
                addconstructs=addconstructs,
                nodeattrs=nodeattrs,
                **attrs,
            )

    def add_parents(  # pylint: disable=too-many-arguments
        self,
        name,
        *,
        levels=1,
        relations="isA",
        edgelabels=None,
        addnodes=False,
        addconstructs=False,
        **attrs,
    ):
        """Add `levels` levels of strict parents of entity `name`."""

        def addparents(entity, nodes, parents):
            if nodes > 0:
                for parent in entity.get_parents(strict=True):
                    parents.add(parent)
                    addparents(parent, nodes - 1, parents)

        entity = self.ontology[name] if isinstance(name, str) else name
        parents = set()
        addparents(entity, levels, parents)
        self.add_entities(
            entities=parents,
            relations=relations,
            edgelabels=edgelabels,
            addnodes=addnodes,
            addconstructs=addconstructs,
            **attrs,
        )

    def add_node(self, name, nodeattrs=None, **attrs):
        """Add node with given name. `attrs` are graphviz node attributes."""
        entity = self.ontology[name] if isinstance(name, str) else name
        label = get_label(entity)
        if label not in self.nodes.union(self.excluded_nodes):
            kwargs = self.get_node_attrs(
                entity, nodeattrs=nodeattrs, attrs=attrs
            )
            if hasattr(entity, "iri"):
                kwargs.setdefault("URL", entity.iri)
            self.dot.node(label, label=label, **kwargs)
            self.nodes.add(label)

    def add_nodes(self, names, nodeattrs, **attrs):
        """Add nodes with given names. `attrs` are graphviz node attributes."""
        for name in names:
            self.add_node(name, nodeattrs=nodeattrs, **attrs)

    def add_edge(self, subject, predicate, obj, edgelabel=None, **attrs):
        """Add edge corresponding for ``(subject, predicate, object)``
        triplet."""
        subject = subject if isinstance(subject, str) else get_label(subject)
        predicate = (
            predicate if isinstance(predicate, str) else get_label(predicate)
        )
        obj = obj if isinstance(obj, str) else get_label(obj)
        if subject in self.excluded_nodes or obj in self.excluded_nodes:
            return
        if not isinstance(subject, str) or not isinstance(obj, str):
            raise TypeError("`subject` and `object` must be strings")
        if subject not in self.nodes:
            raise RuntimeError(f'`subject` "{subject}" must have been added')
        if obj not in self.nodes:
            raise RuntimeError(f'`object` "{obj}" must have been added')
        key = (subject, predicate, obj)
        if key not in self.edges:
            relations = self.style.get("relations", {})
            rels = set(
                self.ontology[_] for _ in relations if _ in self.ontology
            )
            if (edgelabel is None) and (
                (predicate in rels) or (predicate == "isA")
            ):
                edgelabel = self.edgelabels
            label = None
            if edgelabel is None:
                tokens = predicate.split()
                if len(tokens) == 2 and tokens[1] in ("some", "only"):
                    label = f"{tokens[0]} {tokens[1]}"
                elif len(tokens) == 3 and tokens[1] in (
                    "exactly",
                    "min",
                    "max",
                ):
                    label = f"{tokens[0]} {tokens[1]} {tokens[2]}"
            elif isinstance(edgelabel, str):
                label = edgelabel
            elif isinstance(edgelabel, dict):
                label = edgelabel.get(predicate, predicate)
            elif edgelabel:
                label = predicate
            kwargs = self.get_edge_attrs(predicate, attrs=attrs)
            self.dot.edge(subject, obj, label=label, **kwargs)
            self.edges.add(key)

    def add_source_edges(  # pylint: disable=too-many-arguments,too-many-branches
        self,
        source,
        *,
        relations=None,
        edgelabels=None,
        addnodes=None,
        addconstructs=None,
        **attrs,
    ):
        """Adds all relations originating from entity `source` who's type
        are listed in `relations`."""
        if relations is None:
            relations = self.relations
        elif isinstance(relations, str):
            relations = set([relations])
        else:
            relations = set(relations)

        edgelabels = self.edgelabels if edgelabels is None else edgelabels
        addconstructs = (
            self.addconstructs if addconstructs is None else addconstructs
        )

        entity = self.ontology[source] if isinstance(source, str) else source
        label = get_label(entity)
        for relation in entity.is_a:
            # isA
            if isinstance(
                relation, (owlready2.ThingClass, owlready2.ObjectPropertyClass)
            ):
                if "all" in relations or "isA" in relations:
                    rlabel = get_label(relation)
                    # FIXME - we actually want to include individuals...
                    if isinstance(entity, owlready2.Thing):
                        continue
                    if relation not in entity.get_parents(strict=True):
                        continue
                    if not self.add_missing_node(relation, addnodes=addnodes):
                        continue
                    self.add_edge(
                        subject=label,
                        predicate="isA",
                        obj=rlabel,
                        edgelabel=edgelabels,
                        **attrs,
                    )

            # restriction
            elif isinstance(relation, owlready2.Restriction):
                rname = get_label(relation.property)
                if "all" in relations or rname in relations:
                    rlabel = f"{rname} {typenames[relation.type]}"
                    if isinstance(relation.value, owlready2.ThingClass):
                        obj = get_label(relation.value)
                        if not self.add_missing_node(relation.value, addnodes):
                            continue
                    elif (
                        isinstance(relation.value, owlready2.ClassConstruct)
                        and self.addconstructs
                    ):
                        obj = self.add_class_construct(relation.value)
                    else:
                        continue
                    pred = asstring(
                        relation, exclude_object=True, ontology=self.ontology
                    )
                    self.add_edge(
                        label, pred, obj, edgelabel=edgelabels, **attrs
                    )

            # inverse
            if isinstance(relation, owlready2.Inverse):
                if "all" in relations or "inverse" in relations:
                    rlabel = get_label(relation)
                    if not self.add_missing_node(relation, addnodes=addnodes):
                        continue
                    if relation not in entity.get_parents(strict=True):
                        continue
                    self.add_edge(
                        subject=label,
                        predicate="inverse",
                        obj=rlabel,
                        edgelabel=edgelabels,
                        **attrs,
                    )

    def add_edges(  # pylint: disable=too-many-arguments
        self,
        *,
        sources=None,
        relations=None,
        edgelabels=None,
        addnodes=None,
        addconstructs=None,
        **attrs,
    ):
        """Adds all relations originating from entities `sources` who's type
        are listed in `relations`.  If `sources` is None, edges are added
        between all current nodes."""
        if sources is None:
            sources = self.nodes
        for source in sources.copy():
            self.add_source_edges(
                source,
                relations=relations,
                edgelabels=edgelabels,
                addnodes=addnodes,
                addconstructs=addconstructs,
                **attrs,
            )

    def add_missing_node(self, name, addnodes=None):
        """Checks if `name` corresponds to a missing node and add it if
        `addnodes` is true.

        Returns true if the node exists or is added, false otherwise."""
        addnodes = self.addnodes if addnodes is None else addnodes
        entity = self.ontology[name] if isinstance(name, str) else name
        label = get_label(entity)
        if label not in self.nodes:
            if addnodes:
                self.add_node(entity, **self.style.get("added_node", {}))
            else:
                return False
        return True

    def add_class_construct(self, construct):
        """Adds class construct and return its label."""
        self.add_node(construct, **self.style.get("class_construct", {}))
        label = get_label(construct)
        if isinstance(construct, owlready2.Or):
            for cls in construct.Classes:
                clslabel = get_label(cls)
                if clslabel not in self.nodes and self.addnodes:
                    self.add_node(cls)
                if clslabel in self.nodes:
                    self.add_edge(get_label(cls), "isA", label)
        elif isinstance(construct, owlready2.And):
            for cls in construct.Classes:
                clslabel = get_label(cls)
                if clslabel not in self.nodes and self.addnodes:
                    self.add_node(cls)
                if clslabel in self.nodes:
                    self.add_edge(label, "isA", get_label(cls))
        elif isinstance(construct, owlready2.Not):
            clslabel = get_label(construct.Class)
            if clslabel not in self.nodes and self.addnodes:
                self.add_node(construct.Class)
            if clslabel in self.nodes:
                self.add_edge(clslabel, "not", label)
        # Neither and nor inverse constructs are
        return label

    def get_node_attrs(self, name, nodeattrs, attrs):
        """Returns attributes for node or edge `name`.  `attrs` overrides
        the default style."""
        entity = self.ontology[name] if isinstance(name, str) else name
        label = get_label(entity)
        # class
        if isinstance(entity, owlready2.ThingClass):
            if entity.is_defined:
                kwargs = self.style.get("defined_class", {})
            else:
                kwargs = self.style.get("class", {})
        # class construct
        elif isinstance(entity, owlready2.ClassConstruct):
            kwargs = self.style.get("class_construct", {})
        # individual
        elif isinstance(entity, owlready2.Thing):
            kwargs = self.style.get("individual", {})
        # object property
        elif isinstance(entity, owlready2.ObjectPropertyClass):
            kwargs = self.style.get("object_property", {})
        # data property
        elif isinstance(entity, owlready2.DataPropertyClass):
            kwargs = self.style.get("data_property", {})
        # annotation property
        elif isinstance(entity, owlready2.AnnotationPropertyClass):
            kwargs = self.style.get("annotation_property", {})
        else:
            raise TypeError(f"Unknown entity type: {entity!r}")
        kwargs = kwargs.copy()
        kwargs.update(self.style.get("nodes", {}).get(label, {}))
        if nodeattrs:
            kwargs.update(nodeattrs.get(label, {}))
        kwargs.update(attrs)
        return kwargs

    def _relation_styles(
        self, entity: ThingClass, relations: dict, rels: set
    ) -> dict:
        """Helper function that returns the styles of the relations
        to be used.

        Parameters:
            entity: the entity of the parent relation
            relations: relations with default styles
            rels: relations to be considered that have default styles,
                either for the prefLabel or one of the altLabels
        """
        for relation in entity.mro():
            if relation in rels:
                if str(get_label(relation)) in relations:
                    rattrs = relations[str(get_label(relation))]
                else:
                    for alt_label in relation.get_annotations()["altLabel"]:
                        rattrs = relations[str(alt_label)]

                break
        else:
            warnings.warn(
                f"Style not defined for relation {get_label(entity)}. "
                "Resorting to default style."
            )
            rattrs = self.style.get("default_relation", {})
        return rattrs

    def get_edge_attrs(self, predicate: str, attrs: dict) -> dict:
        """Returns attributes for node or edge `predicate`.  `attrs` overrides
        the default style.

        Parameters:
            predicate: predicate to get attributes for
            attrs: desired attributes to override default
        """
        # given type
        types = ("isA", "equivalent_to", "disjoint_with", "inverse_of")
        if predicate in types:
            kwargs = self.style.get(predicate, {}).copy()
        else:
            kwargs = {}
            name = predicate.split(None, 1)[0]
            match = re.match(r"Inverse\((.*)\)", name)
            if match:
                (name,) = match.groups()
                attrs = attrs.copy()
                for key, value in self.style.get("inverse", {}).items():
                    attrs.setdefault(key, value)
            if not isinstance(name, str) or name in self.ontology:
                entity = self.ontology[name] if isinstance(name, str) else name
                relations = self.style.get("relations", {})
                rels = set(
                    self.ontology[_] for _ in relations if _ in self.ontology
                )
                rattrs = self._relation_styles(entity, relations, rels)

                # object property
                if isinstance(
                    entity,
                    (owlready2.ObjectPropertyClass, owlready2.ObjectProperty),
                ):
                    kwargs = self.style.get("default_relation", {}).copy()
                    kwargs.update(rattrs)
                # data property
                elif isinstance(
                    entity,
                    (owlready2.DataPropertyClass, owlready2.DataProperty),
                ):
                    kwargs = self.style.get("default_dataprop", {}).copy()
                    kwargs.update(rattrs)
                else:
                    raise TypeError(f"Unknown entity type: {entity!r}")
        kwargs.update(self.style.get("edges", {}).get(predicate, {}))
        kwargs.update(attrs)
        return kwargs

    def add_legend(self, relations=None):
        """Adds legend for specified relations to the graph.

        If `relations` is "all", the legend will contain all relations
        that are defined in the style.  By default the legend will
        only contain relations that are currently included in the
        graph.

        Hence, you usually want to call add_legend() as the last method
        before saving or displaying.

        Relations with defined style will be bold in legend.
        Relations that have inherited style from parent relation
        will not be bold.
        """
        rels = self.style.get("relations", {})
        if relations is None:
            relations = self.get_relations(sort=True)
        elif relations == "all":
            relations = ["isA"] + list(rels.keys()) + ["inverse"]
        elif isinstance(relations, str):
            relations = relations.split(",")

        nrelations = len(relations)
        if nrelations == 0:
            return

        table = (
            '<<table border="0" cellpadding="2" cellspacing="0" cellborder="0">'
        )
        label1 = [table]
        label2 = [table]
        for index, relation in enumerate(relations):
            if (relation in rels) or (relation == "isA"):
                label1.append(
                    f'<tr><td align="right" '
                    f'port="i{index}"><b>{relation}</b></td></tr>'
                )
            else:
                label1.append(
                    f'<tr><td align="right" '
                    f'port="i{index}">{relation}</td></tr>'
                )
            label2.append(f'<tr><td port="i{index}">&nbsp;</td></tr>')
        label1.append("</table>>")
        label2.append("</table>>")
        self.dot.node("key1", label="\n".join(label1), shape="plaintext")
        self.dot.node("key2", label="\n".join(label2), shape="plaintext")

        rankdir = self.dot.graph_attr.get("rankdir", "TB")
        constraint = "false" if rankdir in ("TB", "BT") else "true"
        inv = rankdir in ("BT",)

        for index in range(nrelations):
            relation = (
                relations[nrelations - 1 - index] if inv else relations[index]
            )
            if relation == "inverse":
                kwargs = self.style.get("inverse", {}).copy()
            else:
                kwargs = self.get_edge_attrs(relation, {}).copy()
            kwargs["constraint"] = constraint
            with self.dot.subgraph(name=f"sub{index}") as subgraph:
                subgraph.attr(rank="same")
                if rankdir in ("BT", "LR"):
                    self.dot.edge(
                        f"key1:i{index}:e", f"key2:i{index}:w", **kwargs
                    )
                else:
                    self.dot.edge(
                        f"key2:i{index}:w", f"key1:i{index}:e", **kwargs
                    )

    def get_relations(self, sort=True):
        """Returns a set of relations in current graph.  If `sort` is true,
        a sorted list is returned."""
        relations = set()
        for _, predicate, _ in self.edges:
            if predicate.startswith("Inverse"):
                relations.add("inverse")
                match = re.match(r"Inverse\((.+)\)", predicate)
                if match is None:
                    raise ValueError(
                        "Could unexpectedly not find the inverse relation "
                        f"just added in: {predicate}"
                    )
                relations.add(match.groups()[0])
            else:
                relations.add(predicate.split(None, 1)[0])

        # Sort, but place 'isA' first and 'inverse' last
        if sort:
            start, end = [], []
            if "isA" in relations:
                relations.remove("isA")
                start.append("isA")
            if "inverse" in relations:
                relations.remove("inverse")
                end.append("inverse")
            relations = start + sorted(relations) + end

        return relations

    def save(self, filename, fmt=None, **kwargs):
        """Saves graph to `filename`.  If format is not given, it is
        inferred from `filename`."""
        base = os.path.splitext(filename)[0]
        fmt = get_format(filename, default="svg", fmt=fmt)
        kwargs.setdefault("cleanup", True)
        if fmt in ("graphviz", "gv"):
            if "dictionary" in kwargs:
                self.dot.save(filename, dictionary=kwargs["dictionary"])
            else:
                self.dot.save(filename)
        else:
            fmt = kwargs.pop("format", fmt)
            self.dot.render(base, format=fmt, **kwargs)

    def view(self):
        """Shows the graph in a viewer."""
        self.dot.view(cleanup=True)

    def get_figsize(self):
        """Returns the default figure size (width, height) in points."""
        with tempfile.TemporaryDirectory() as tmpdir:
            tmpfile = os.path.join(tmpdir, "graph.svg")
            self.save(tmpfile)
            xml = ET.parse(tmpfile)
            svg = xml.getroot()
            width = svg.attrib["width"]
            height = svg.attrib["height"]
            if not width.endswith("pt"):
                # ensure that units are in points
                raise ValueError(
                    "The width attribute should always be given in 'pt', "
                    f"but it is: {width}"
                )

            def asfloat(string):
                return float(re.match(r"^[\d.]+", string).group())

        return asfloat(width), asfloat(height)

add_branch(self, root, *, leaves=None, include_leaves=True, strict_leaves=False, exclude=None, relations='isA', edgelabels=None, addnodes=False, addconstructs=False, included_namespaces=(), included_ontologies=(), include_parents='closest', **attrs)

Adds branch under root ending at any entity included in the sequence leaves. If include_leaves is true, leaf classes are also included.

Source code in ontopy/graph.py
def add_branch(  # pylint: disable=too-many-arguments,too-many-locals
    self,
    root,
    *,
    leaves=None,
    include_leaves=True,
    strict_leaves=False,
    exclude=None,
    relations="isA",
    edgelabels=None,
    addnodes=False,
    addconstructs=False,
    included_namespaces=(),
    included_ontologies=(),
    include_parents="closest",
    **attrs,
):
    """Adds branch under `root` ending at any entity included in the
    sequence `leaves`.  If `include_leaves` is true, leaf classes are
    also included."""
    if leaves is None:
        leaves = ()
    classes = self.ontology.get_branch(
        root=root,
        leaves=leaves,
        include_leaves=include_leaves,
        strict_leaves=strict_leaves,
        exclude=exclude,
    )

    classes = filter_classes(
        classes,
        included_namespaces=included_namespaces,
        included_ontologies=included_ontologies,
    )

    nodeattrs = {}
    nodeattrs[get_label(root)] = self.style.get("root", {})
    for leaf in leaves:
        nodeattrs[get_label(leaf)] = self.style.get("leaf", {})

    self.add_entities(
        entities=classes,
        relations=relations,
        edgelabels=edgelabels,
        addnodes=addnodes,
        addconstructs=addconstructs,
        nodeattrs=nodeattrs,
        **attrs,
    )
    closest_ancestors = False
    ancestor_generations = None
    if include_parents == "closest":
        closest_ancestors = True
    elif isinstance(include_parents, int):
        ancestor_generations = include_parents
    parents = self.ontology.get_ancestors(
        classes,
        closest=closest_ancestors,
        generations=ancestor_generations,
        strict=True,
    )
    if parents:
        for parent in parents:
            nodeattrs[get_label(parent)] = self.style.get("parent_node", {})
        self.add_entities(
            entities=parents,
            relations=relations,
            edgelabels=edgelabels,
            addnodes=addnodes,
            addconstructs=addconstructs,
            nodeattrs=nodeattrs,
            **attrs,
        )

add_class_construct(self, construct)

Adds class construct and return its label.

Source code in ontopy/graph.py
def add_class_construct(self, construct):
    """Adds class construct and return its label."""
    self.add_node(construct, **self.style.get("class_construct", {}))
    label = get_label(construct)
    if isinstance(construct, owlready2.Or):
        for cls in construct.Classes:
            clslabel = get_label(cls)
            if clslabel not in self.nodes and self.addnodes:
                self.add_node(cls)
            if clslabel in self.nodes:
                self.add_edge(get_label(cls), "isA", label)
    elif isinstance(construct, owlready2.And):
        for cls in construct.Classes:
            clslabel = get_label(cls)
            if clslabel not in self.nodes and self.addnodes:
                self.add_node(cls)
            if clslabel in self.nodes:
                self.add_edge(label, "isA", get_label(cls))
    elif isinstance(construct, owlready2.Not):
        clslabel = get_label(construct.Class)
        if clslabel not in self.nodes and self.addnodes:
            self.add_node(construct.Class)
        if clslabel in self.nodes:
            self.add_edge(clslabel, "not", label)
    # Neither and nor inverse constructs are
    return label

add_edge(self, subject, predicate, obj, edgelabel=None, **attrs)

Add edge corresponding for (subject, predicate, object) triplet.

Source code in ontopy/graph.py
def add_edge(self, subject, predicate, obj, edgelabel=None, **attrs):
    """Add edge corresponding for ``(subject, predicate, object)``
    triplet."""
    subject = subject if isinstance(subject, str) else get_label(subject)
    predicate = (
        predicate if isinstance(predicate, str) else get_label(predicate)
    )
    obj = obj if isinstance(obj, str) else get_label(obj)
    if subject in self.excluded_nodes or obj in self.excluded_nodes:
        return
    if not isinstance(subject, str) or not isinstance(obj, str):
        raise TypeError("`subject` and `object` must be strings")
    if subject not in self.nodes:
        raise RuntimeError(f'`subject` "{subject}" must have been added')
    if obj not in self.nodes:
        raise RuntimeError(f'`object` "{obj}" must have been added')
    key = (subject, predicate, obj)
    if key not in self.edges:
        relations = self.style.get("relations", {})
        rels = set(
            self.ontology[_] for _ in relations if _ in self.ontology
        )
        if (edgelabel is None) and (
            (predicate in rels) or (predicate == "isA")
        ):
            edgelabel = self.edgelabels
        label = None
        if edgelabel is None:
            tokens = predicate.split()
            if len(tokens) == 2 and tokens[1] in ("some", "only"):
                label = f"{tokens[0]} {tokens[1]}"
            elif len(tokens) == 3 and tokens[1] in (
                "exactly",
                "min",
                "max",
            ):
                label = f"{tokens[0]} {tokens[1]} {tokens[2]}"
        elif isinstance(edgelabel, str):
            label = edgelabel
        elif isinstance(edgelabel, dict):
            label = edgelabel.get(predicate, predicate)
        elif edgelabel:
            label = predicate
        kwargs = self.get_edge_attrs(predicate, attrs=attrs)
        self.dot.edge(subject, obj, label=label, **kwargs)
        self.edges.add(key)

add_edges(self, *, sources=None, relations=None, edgelabels=None, addnodes=None, addconstructs=None, **attrs)

Adds all relations originating from entities sources who's type are listed in relations. If sources is None, edges are added between all current nodes.

Source code in ontopy/graph.py
def add_edges(  # pylint: disable=too-many-arguments
    self,
    *,
    sources=None,
    relations=None,
    edgelabels=None,
    addnodes=None,
    addconstructs=None,
    **attrs,
):
    """Adds all relations originating from entities `sources` who's type
    are listed in `relations`.  If `sources` is None, edges are added
    between all current nodes."""
    if sources is None:
        sources = self.nodes
    for source in sources.copy():
        self.add_source_edges(
            source,
            relations=relations,
            edgelabels=edgelabels,
            addnodes=addnodes,
            addconstructs=addconstructs,
            **attrs,
        )

add_entities(self, entities=None, *, relations='isA', edgelabels=None, addnodes=False, addconstructs=False, nodeattrs=None, **attrs)

Adds a sequence of entities to the graph. If entities is None, all classes are added to the graph.

nodeattrs is a dict mapping node names to are attributes for dedicated nodes.

Source code in ontopy/graph.py
def add_entities(  # pylint: disable=too-many-arguments
    self,
    entities=None,
    *,
    relations="isA",
    edgelabels=None,
    addnodes=False,
    addconstructs=False,
    nodeattrs=None,
    **attrs,
):
    """Adds a sequence of entities to the graph.  If `entities` is None,
    all classes are added to the graph.

    `nodeattrs` is a dict mapping node names to are attributes for
    dedicated nodes.
    """
    if entities is None:
        entities = self.ontology.classes(imported=self.imported)
    self.add_nodes(entities, nodeattrs=nodeattrs, **attrs)
    self.add_edges(
        relations=relations,
        edgelabels=edgelabels,
        addnodes=addnodes,
        addconstructs=addconstructs,
        **attrs,
    )

add_legend(self, relations=None)

Adds legend for specified relations to the graph.

If relations is "all", the legend will contain all relations that are defined in the style. By default the legend will only contain relations that are currently included in the graph.

Hence, you usually want to call add_legend() as the last method before saving or displaying.

Relations with defined style will be bold in legend. Relations that have inherited style from parent relation will not be bold.

Source code in ontopy/graph.py
def add_legend(self, relations=None):
    """Adds legend for specified relations to the graph.

    If `relations` is "all", the legend will contain all relations
    that are defined in the style.  By default the legend will
    only contain relations that are currently included in the
    graph.

    Hence, you usually want to call add_legend() as the last method
    before saving or displaying.

    Relations with defined style will be bold in legend.
    Relations that have inherited style from parent relation
    will not be bold.
    """
    rels = self.style.get("relations", {})
    if relations is None:
        relations = self.get_relations(sort=True)
    elif relations == "all":
        relations = ["isA"] + list(rels.keys()) + ["inverse"]
    elif isinstance(relations, str):
        relations = relations.split(",")

    nrelations = len(relations)
    if nrelations == 0:
        return

    table = (
        '<<table border="0" cellpadding="2" cellspacing="0" cellborder="0">'
    )
    label1 = [table]
    label2 = [table]
    for index, relation in enumerate(relations):
        if (relation in rels) or (relation == "isA"):
            label1.append(
                f'<tr><td align="right" '
                f'port="i{index}"><b>{relation}</b></td></tr>'
            )
        else:
            label1.append(
                f'<tr><td align="right" '
                f'port="i{index}">{relation}</td></tr>'
            )
        label2.append(f'<tr><td port="i{index}">&nbsp;</td></tr>')
    label1.append("</table>>")
    label2.append("</table>>")
    self.dot.node("key1", label="\n".join(label1), shape="plaintext")
    self.dot.node("key2", label="\n".join(label2), shape="plaintext")

    rankdir = self.dot.graph_attr.get("rankdir", "TB")
    constraint = "false" if rankdir in ("TB", "BT") else "true"
    inv = rankdir in ("BT",)

    for index in range(nrelations):
        relation = (
            relations[nrelations - 1 - index] if inv else relations[index]
        )
        if relation == "inverse":
            kwargs = self.style.get("inverse", {}).copy()
        else:
            kwargs = self.get_edge_attrs(relation, {}).copy()
        kwargs["constraint"] = constraint
        with self.dot.subgraph(name=f"sub{index}") as subgraph:
            subgraph.attr(rank="same")
            if rankdir in ("BT", "LR"):
                self.dot.edge(
                    f"key1:i{index}:e", f"key2:i{index}:w", **kwargs
                )
            else:
                self.dot.edge(
                    f"key2:i{index}:w", f"key1:i{index}:e", **kwargs
                )

add_missing_node(self, name, addnodes=None)

Checks if name corresponds to a missing node and add it if addnodes is true.

Returns true if the node exists or is added, false otherwise.

Source code in ontopy/graph.py
def add_missing_node(self, name, addnodes=None):
    """Checks if `name` corresponds to a missing node and add it if
    `addnodes` is true.

    Returns true if the node exists or is added, false otherwise."""
    addnodes = self.addnodes if addnodes is None else addnodes
    entity = self.ontology[name] if isinstance(name, str) else name
    label = get_label(entity)
    if label not in self.nodes:
        if addnodes:
            self.add_node(entity, **self.style.get("added_node", {}))
        else:
            return False
    return True

add_node(self, name, nodeattrs=None, **attrs)

Add node with given name. attrs are graphviz node attributes.

Source code in ontopy/graph.py
def add_node(self, name, nodeattrs=None, **attrs):
    """Add node with given name. `attrs` are graphviz node attributes."""
    entity = self.ontology[name] if isinstance(name, str) else name
    label = get_label(entity)
    if label not in self.nodes.union(self.excluded_nodes):
        kwargs = self.get_node_attrs(
            entity, nodeattrs=nodeattrs, attrs=attrs
        )
        if hasattr(entity, "iri"):
            kwargs.setdefault("URL", entity.iri)
        self.dot.node(label, label=label, **kwargs)
        self.nodes.add(label)

add_nodes(self, names, nodeattrs, **attrs)

Add nodes with given names. attrs are graphviz node attributes.

Source code in ontopy/graph.py
def add_nodes(self, names, nodeattrs, **attrs):
    """Add nodes with given names. `attrs` are graphviz node attributes."""
    for name in names:
        self.add_node(name, nodeattrs=nodeattrs, **attrs)

add_parents(self, name, *, levels=1, relations='isA', edgelabels=None, addnodes=False, addconstructs=False, **attrs)

Add levels levels of strict parents of entity name.

Source code in ontopy/graph.py
def add_parents(  # pylint: disable=too-many-arguments
    self,
    name,
    *,
    levels=1,
    relations="isA",
    edgelabels=None,
    addnodes=False,
    addconstructs=False,
    **attrs,
):
    """Add `levels` levels of strict parents of entity `name`."""

    def addparents(entity, nodes, parents):
        if nodes > 0:
            for parent in entity.get_parents(strict=True):
                parents.add(parent)
                addparents(parent, nodes - 1, parents)

    entity = self.ontology[name] if isinstance(name, str) else name
    parents = set()
    addparents(entity, levels, parents)
    self.add_entities(
        entities=parents,
        relations=relations,
        edgelabels=edgelabels,
        addnodes=addnodes,
        addconstructs=addconstructs,
        **attrs,
    )

add_source_edges(self, source, *, relations=None, edgelabels=None, addnodes=None, addconstructs=None, **attrs)

Adds all relations originating from entity source who's type are listed in relations.

Source code in ontopy/graph.py
def add_source_edges(  # pylint: disable=too-many-arguments,too-many-branches
    self,
    source,
    *,
    relations=None,
    edgelabels=None,
    addnodes=None,
    addconstructs=None,
    **attrs,
):
    """Adds all relations originating from entity `source` who's type
    are listed in `relations`."""
    if relations is None:
        relations = self.relations
    elif isinstance(relations, str):
        relations = set([relations])
    else:
        relations = set(relations)

    edgelabels = self.edgelabels if edgelabels is None else edgelabels
    addconstructs = (
        self.addconstructs if addconstructs is None else addconstructs
    )

    entity = self.ontology[source] if isinstance(source, str) else source
    label = get_label(entity)
    for relation in entity.is_a:
        # isA
        if isinstance(
            relation, (owlready2.ThingClass, owlready2.ObjectPropertyClass)
        ):
            if "all" in relations or "isA" in relations:
                rlabel = get_label(relation)
                # FIXME - we actually want to include individuals...
                if isinstance(entity, owlready2.Thing):
                    continue
                if relation not in entity.get_parents(strict=True):
                    continue
                if not self.add_missing_node(relation, addnodes=addnodes):
                    continue
                self.add_edge(
                    subject=label,
                    predicate="isA",
                    obj=rlabel,
                    edgelabel=edgelabels,
                    **attrs,
                )

        # restriction
        elif isinstance(relation, owlready2.Restriction):
            rname = get_label(relation.property)
            if "all" in relations or rname in relations:
                rlabel = f"{rname} {typenames[relation.type]}"
                if isinstance(relation.value, owlready2.ThingClass):
                    obj = get_label(relation.value)
                    if not self.add_missing_node(relation.value, addnodes):
                        continue
                elif (
                    isinstance(relation.value, owlready2.ClassConstruct)
                    and self.addconstructs
                ):
                    obj = self.add_class_construct(relation.value)
                else:
                    continue
                pred = asstring(
                    relation, exclude_object=True, ontology=self.ontology
                )
                self.add_edge(
                    label, pred, obj, edgelabel=edgelabels, **attrs
                )

        # inverse
        if isinstance(relation, owlready2.Inverse):
            if "all" in relations or "inverse" in relations:
                rlabel = get_label(relation)
                if not self.add_missing_node(relation, addnodes=addnodes):
                    continue
                if relation not in entity.get_parents(strict=True):
                    continue
                self.add_edge(
                    subject=label,
                    predicate="inverse",
                    obj=rlabel,
                    edgelabel=edgelabels,
                    **attrs,
                )

get_edge_attrs(self, predicate, attrs)

Returns attributes for node or edge predicate. attrs overrides the default style.

Parameters:

Name Type Description Default
predicate str

predicate to get attributes for

required
attrs dict

desired attributes to override default

required
Source code in ontopy/graph.py
def get_edge_attrs(self, predicate: str, attrs: dict) -> dict:
    """Returns attributes for node or edge `predicate`.  `attrs` overrides
    the default style.

    Parameters:
        predicate: predicate to get attributes for
        attrs: desired attributes to override default
    """
    # given type
    types = ("isA", "equivalent_to", "disjoint_with", "inverse_of")
    if predicate in types:
        kwargs = self.style.get(predicate, {}).copy()
    else:
        kwargs = {}
        name = predicate.split(None, 1)[0]
        match = re.match(r"Inverse\((.*)\)", name)
        if match:
            (name,) = match.groups()
            attrs = attrs.copy()
            for key, value in self.style.get("inverse", {}).items():
                attrs.setdefault(key, value)
        if not isinstance(name, str) or name in self.ontology:
            entity = self.ontology[name] if isinstance(name, str) else name
            relations = self.style.get("relations", {})
            rels = set(
                self.ontology[_] for _ in relations if _ in self.ontology
            )
            rattrs = self._relation_styles(entity, relations, rels)

            # object property
            if isinstance(
                entity,
                (owlready2.ObjectPropertyClass, owlready2.ObjectProperty),
            ):
                kwargs = self.style.get("default_relation", {}).copy()
                kwargs.update(rattrs)
            # data property
            elif isinstance(
                entity,
                (owlready2.DataPropertyClass, owlready2.DataProperty),
            ):
                kwargs = self.style.get("default_dataprop", {}).copy()
                kwargs.update(rattrs)
            else:
                raise TypeError(f"Unknown entity type: {entity!r}")
    kwargs.update(self.style.get("edges", {}).get(predicate, {}))
    kwargs.update(attrs)
    return kwargs

get_figsize(self)

Returns the default figure size (width, height) in points.

Source code in ontopy/graph.py
def get_figsize(self):
    """Returns the default figure size (width, height) in points."""
    with tempfile.TemporaryDirectory() as tmpdir:
        tmpfile = os.path.join(tmpdir, "graph.svg")
        self.save(tmpfile)
        xml = ET.parse(tmpfile)
        svg = xml.getroot()
        width = svg.attrib["width"]
        height = svg.attrib["height"]
        if not width.endswith("pt"):
            # ensure that units are in points
            raise ValueError(
                "The width attribute should always be given in 'pt', "
                f"but it is: {width}"
            )

        def asfloat(string):
            return float(re.match(r"^[\d.]+", string).group())

    return asfloat(width), asfloat(height)

get_node_attrs(self, name, nodeattrs, attrs)

Returns attributes for node or edge name. attrs overrides the default style.

Source code in ontopy/graph.py
def get_node_attrs(self, name, nodeattrs, attrs):
    """Returns attributes for node or edge `name`.  `attrs` overrides
    the default style."""
    entity = self.ontology[name] if isinstance(name, str) else name
    label = get_label(entity)
    # class
    if isinstance(entity, owlready2.ThingClass):
        if entity.is_defined:
            kwargs = self.style.get("defined_class", {})
        else:
            kwargs = self.style.get("class", {})
    # class construct
    elif isinstance(entity, owlready2.ClassConstruct):
        kwargs = self.style.get("class_construct", {})
    # individual
    elif isinstance(entity, owlready2.Thing):
        kwargs = self.style.get("individual", {})
    # object property
    elif isinstance(entity, owlready2.ObjectPropertyClass):
        kwargs = self.style.get("object_property", {})
    # data property
    elif isinstance(entity, owlready2.DataPropertyClass):
        kwargs = self.style.get("data_property", {})
    # annotation property
    elif isinstance(entity, owlready2.AnnotationPropertyClass):
        kwargs = self.style.get("annotation_property", {})
    else:
        raise TypeError(f"Unknown entity type: {entity!r}")
    kwargs = kwargs.copy()
    kwargs.update(self.style.get("nodes", {}).get(label, {}))
    if nodeattrs:
        kwargs.update(nodeattrs.get(label, {}))
    kwargs.update(attrs)
    return kwargs

get_relations(self, sort=True)

Returns a set of relations in current graph. If sort is true, a sorted list is returned.

Source code in ontopy/graph.py
def get_relations(self, sort=True):
    """Returns a set of relations in current graph.  If `sort` is true,
    a sorted list is returned."""
    relations = set()
    for _, predicate, _ in self.edges:
        if predicate.startswith("Inverse"):
            relations.add("inverse")
            match = re.match(r"Inverse\((.+)\)", predicate)
            if match is None:
                raise ValueError(
                    "Could unexpectedly not find the inverse relation "
                    f"just added in: {predicate}"
                )
            relations.add(match.groups()[0])
        else:
            relations.add(predicate.split(None, 1)[0])

    # Sort, but place 'isA' first and 'inverse' last
    if sort:
        start, end = [], []
        if "isA" in relations:
            relations.remove("isA")
            start.append("isA")
        if "inverse" in relations:
            relations.remove("inverse")
            end.append("inverse")
        relations = start + sorted(relations) + end

    return relations

save(self, filename, fmt=None, **kwargs)

Saves graph to filename. If format is not given, it is inferred from filename.

Source code in ontopy/graph.py
def save(self, filename, fmt=None, **kwargs):
    """Saves graph to `filename`.  If format is not given, it is
    inferred from `filename`."""
    base = os.path.splitext(filename)[0]
    fmt = get_format(filename, default="svg", fmt=fmt)
    kwargs.setdefault("cleanup", True)
    if fmt in ("graphviz", "gv"):
        if "dictionary" in kwargs:
            self.dot.save(filename, dictionary=kwargs["dictionary"])
        else:
            self.dot.save(filename)
    else:
        fmt = kwargs.pop("format", fmt)
        self.dot.render(base, format=fmt, **kwargs)

view(self)

Shows the graph in a viewer.

Source code in ontopy/graph.py
def view(self):
    """Shows the graph in a viewer."""
    self.dot.view(cleanup=True)

check_module_dependencies(modules, verbose=True)

Check module dependencies and return a copy of modules with redundant dependencies removed.

If verbose is true, warnings are printed for each module that

If modules is given, it should be a dict returned by get_module_dependencies().

Source code in ontopy/graph.py
def check_module_dependencies(modules, verbose=True):
    """Check module dependencies and return a copy of modules with
    redundant dependencies removed.

    If `verbose` is true, warnings are printed for each module that

    If `modules` is given, it should be a dict returned by
    get_module_dependencies().
    """
    visited = set()

    def get_deps(iri, excl=None):
        """Returns a set with all dependencies of `iri`, excluding `excl` and
        its dependencies."""
        if iri in visited:
            return set()
        visited.add(iri)
        deps = set()
        for dependency in modules[iri]:
            if dependency != excl:
                deps.add(dependency)
                deps.update(get_deps(dependency))
        return deps

    mods = {}
    redundant = []
    for iri, deps in modules.items():
        if not deps:
            mods[iri] = set()
        for dep in deps:
            if dep in get_deps(iri, dep):
                redundant.append((iri, dep))
            elif iri in mods:
                mods[iri].add(dep)
            else:
                mods[iri] = set([dep])

    if redundant and verbose:
        print("** Warning: Redundant module dependency:")
        for iri, dep in redundant:
            print(f"{iri} -> {dep}")

    return mods

cytoscape_style(style=None)

Get list of color, style and fills.

Source code in ontopy/graph.py
def cytoscape_style(style=None):  # pylint: disable=too-many-branches
    """Get list of color, style and fills."""
    if not style:
        style = _default_style
    colours = {}
    styles = {}
    fill = {}
    for key, value in style.items():
        if isinstance(value, dict):
            if "color" in value:
                colours[key] = value["color"]
            else:
                colours[key] = "black"
            if "style" in value:
                styles[key] = value["style"]
            else:
                styles[key] = "solid"
            if "arrowhead" in value:
                if value["arrowhead"] == "empty":
                    fill[key] = "hollow"
            else:
                fill[key] = "filled"

    for key, value in style.get("relations", {}).items():
        if isinstance(value, dict):
            if "color" in value:
                colours[key] = value["color"]
            else:
                colours[key] = "black"
            if "style" in value:
                styles[key] = value["style"]
            else:
                styles[key] = "solid"
            if "arrowhead" in value:
                if value["arrowhead"] == "empty":
                    fill[key] = "hollow"
            else:
                fill[key] = "filled"
    return [colours, styles, fill]

cytoscapegraph(graph, onto=None, infobox=None, force=False)

Returns and instance of icytoscape-figure for an instance Graph of OntoGraph, the accompanying ontology is required for mouse actions.

Parameters:

Name Type Description Default
graph OntoGraph

graph generated with OntoGraph with edgelabels=True.

required
onto Optional[ontopy.ontology.Ontology]

ontology to be used for mouse actions.

None
infobox str

"left" or "right". Placement of infbox with respect to graph.

None
force bool

force generate graph without correct edgelabels.

False

Returns:

Type Description
GridspecLayout

cytoscapewidget with graph and infobox to be visualized in jupyter lab.

Source code in ontopy/graph.py
def cytoscapegraph(
    graph: OntoGraph,
    onto: Optional[Ontology] = None,
    infobox: str = None,
    force: bool = False,
) -> "GridspecLayout":
    # pylint: disable=too-many-locals,too-many-statements
    """Returns and instance of icytoscape-figure for an
    instance Graph of OntoGraph, the accompanying ontology
    is required for mouse actions.
    Args:
            graph: graph generated with OntoGraph with edgelabels=True.
            onto: ontology to be used for mouse actions.
            infobox: "left" or "right". Placement of infbox with
                     respect to graph.
            force: force generate graph without correct edgelabels.
    Returns:
            cytoscapewidget with graph and infobox to be visualized
            in jupyter lab.

    """
    # pylint: disable=import-error,import-outside-toplevel
    from ipywidgets import Output, VBox, GridspecLayout
    from IPython.display import display, Image
    from pathlib import Path
    import networkx as nx
    import pydotplus
    import ipycytoscape
    from networkx.readwrite.json_graph import cytoscape_data

    # Define the styles, this has to be aligned with the graphviz values
    dotplus = pydotplus.graph_from_dot_data(graph.dot.source)
    # if graph doesn't have multiedges, use dotplus.set_strict(true)
    pydot_graph = nx.nx_pydot.from_pydot(dotplus)

    colours, styles, fill = cytoscape_style()

    data = cytoscape_data(pydot_graph)["elements"]
    for datum in data["edges"]:
        try:
            datum["data"]["label"] = (
                datum["data"]["label"].rsplit(" ", 1)[0].lstrip('"')
            )
        except KeyError as err:
            if not force:
                raise EMMOntoPyException(
                    "Edge label is not defined. Are you sure that the OntoGraph"
                    "instance you provided was generated with "
                    "´edgelabels=True´?"
                ) from err
            warnings.warn(
                "ARROWS WILL NOT BE DISPLAYED CORRECTLY. "
                "Edge label is not defined. Are you sure that the OntoGraph "
                "instance you provided was generated with ´edgelabels=True´?"
            )
            datum["data"]["label"] = ""

        lab = datum["data"]["label"].replace("Inverse(", "").rstrip(")")
        try:
            datum["data"]["colour"] = colours[lab]
        except KeyError:
            datum["data"]["colour"] = "black"
        try:
            datum["data"]["style"] = styles[lab]
        except KeyError:
            datum["data"]["style"] = "solid"
        if datum["data"]["label"].startswith("Inverse("):
            datum["data"]["targetarrow"] = "diamond"
            datum["data"]["sourcearrow"] = "none"
        else:
            datum["data"]["targetarrow"] = "triangle"
            datum["data"]["sourcearrow"] = "none"
        try:
            datum["data"]["fill"] = fill[lab]
        except KeyError:
            datum["data"]["fill"] = "filled"

    cytofig = ipycytoscape.CytoscapeWidget()
    cytofig.graph.add_graph_from_json(data, directed=True)

    cytofig.set_style(
        [
            {
                "selector": "node",
                "css": {
                    "content": "data(label)",
                    # "text-valign": "center",
                    # "color": "white",
                    # "text-outline-width": 2,
                    # "text-outline-color": "red",
                    "background-color": "blue",
                },
            },
            {"selector": "node:parent", "css": {"background-opacity": 0.333}},
            {
                "selector": "edge",
                "style": {
                    "width": 2,
                    "line-color": "data(colour)",
                    # "content": "data(label)"",
                    "line-style": "data(style)",
                },
            },
            {
                "selector": "edge.directed",
                "style": {
                    "curve-style": "bezier",
                    "target-arrow-shape": "data(targetarrow)",
                    "target-arrow-color": "data(colour)",
                    "target-arrow-fill": "data(fill)",
                    "mid-source-arrow-shape": "data(sourcearrow)",
                    "mid-source-arrow-color": "data(colour)",
                },
            },
            {
                "selector": "edge.multiple_edges",
                "style": {"curve-style": "bezier"},
            },
            {
                "selector": ":selected",
                "css": {
                    "background-color": "black",
                    "line-color": "black",
                    "target-arrow-color": "black",
                    "source-arrow-color": "black",
                    "text-outline-color": "black",
                },
            },
        ]
    )

    if onto is not None:
        out = Output(layout={"border": "1px solid black"})

        def log_clicks(node):
            with out:
                print((onto.get_by_label(node["data"]["label"])))
                parent = onto.get_by_label(node["data"]["label"]).get_parents()
                print(f"parents: {parent}")
                try:
                    elucidation = onto.get_by_label(
                        node["data"]["label"]
                    ).elucidation
                    print(f"elucidation: {elucidation[0]}")
                except (AttributeError, IndexError):
                    pass

                try:
                    annotations = onto.get_by_label(
                        node["data"]["label"]
                    ).annotations
                    for _ in annotations:
                        print(f"annotation: {_}")
                except AttributeError:
                    pass

                # Try does not work...
                try:
                    iri = onto.get_by_label(node["data"]["label"]).iri
                    print(f"iri: {iri}")
                except (AttributeError, IndexError):
                    pass
                try:
                    fig = node["data"]["label"]
                    if os.path.exists(Path(fig + ".png")):
                        display(Image(fig + ".png", width=100))
                    elif os.path.exists(Path(fig + ".jpg")):
                        display(Image(fig + ".jpg", width=100))
                except (AttributeError, IndexError):
                    pass
                out.clear_output(wait=True)

        def log_mouseovers(node):
            with out:
                print(onto.get_by_label(node["data"]["label"]))
                # print(f'mouseover: {pformat(node)}')
            out.clear_output(wait=True)

        cytofig.on("node", "click", log_clicks)
        cytofig.on("node", "mouseover", log_mouseovers)  # , remove=True)
        cytofig.on("node", "mouseout", out.clear_output(wait=True))
        grid = GridspecLayout(1, 3, height="400px")
        if infobox == "left":
            grid[0, 0] = out
            grid[0, 1:] = cytofig
        elif infobox == "right":
            grid[0, 0:-1] = cytofig
            grid[0, 2] = out
        else:
            return VBox([cytofig, out])
        return grid

    return cytofig

filter_classes(classes, included_namespaces=(), included_ontologies=())

Filter out classes whos namespace is not in included_namespaces or whos ontology name is not in one of the ontologies in included_ontologies.

classes should be a sequence of classes.

Source code in ontopy/graph.py
def filter_classes(classes, included_namespaces=(), included_ontologies=()):
    """Filter out classes whos namespace is not in `included_namespaces`
    or whos ontology name is not in one of the ontologies in
    `included_ontologies`.

    `classes` should be a sequence of classes.
    """
    filtered = set(classes)
    if included_namespaces:
        filtered = set(
            c for c in filtered if c.namespace.name in included_namespaces
        )
    if included_ontologies:
        filtered = set(
            c
            for c in filtered
            if c.namespace.ontology.name in included_ontologies
        )
    return filtered

get_module_dependencies(iri_or_onto, strip_base=None)

Reads iri_or_onto and returns a dict mapping ontology names to a list of ontologies that they depends on.

If strip_base is true, the base IRI is stripped from ontology names. If it is a string, it lstrip'ped from the base iri.

Source code in ontopy/graph.py
def get_module_dependencies(iri_or_onto, strip_base=None):
    """Reads `iri_or_onto` and returns a dict mapping ontology names to a
    list of ontologies that they depends on.

    If `strip_base` is true, the base IRI is stripped from ontology
    names.  If it is a string, it lstrip'ped from the base iri.
    """
    from ontopy.ontology import (  # pylint: disable=import-outside-toplevel
        get_ontology,
    )

    if isinstance(iri_or_onto, str):
        onto = get_ontology(iri_or_onto)
        onto.load()
    else:
        onto = iri_or_onto

    modules = {onto.base_iri: set()}

    def strip(base_iri):
        if isinstance(strip_base, str):
            return base_iri.lstrip(strip_base)
        if strip_base:
            return base_iri.strip(onto.base_iri)
        return base_iri

    visited = set()

    def setmodules(onto):
        for imported_onto in onto.imported_ontologies:
            if onto.base_iri in modules:
                modules[strip(onto.base_iri)].add(strip(imported_onto.base_iri))
            else:
                modules[strip(onto.base_iri)] = set(
                    [strip(imported_onto.base_iri)]
                )
            if imported_onto.base_iri not in modules:
                modules[strip(imported_onto.base_iri)] = set()
            if imported_onto not in visited:
                visited.add(imported_onto)
                setmodules(imported_onto)

    setmodules(onto)
    return modules

plot_modules(src, filename=None, *, fmt=None, show=False, strip_base=None, ignore_redundant=True)

Plot module dependency graph for src and return a graph object.

Here src may be an IRI, a path the the ontology or a dict returned by get_module_dependencies().

If filename is given, write the graph to this file.

If fmt is None, the output format is inferred from filename.

If show is true, the graph is displayed.

strip_base is passed on to get_module_dependencies() if src is not a dict.

If ignore_redundant is true, redundant dependencies are not plotted.

Source code in ontopy/graph.py
def plot_modules(  # pylint: disable=too-many-arguments
    src,
    filename=None,
    *,
    fmt=None,
    show=False,
    strip_base=None,
    ignore_redundant=True,
):
    """Plot module dependency graph for `src` and return a graph object.

    Here `src` may be an IRI, a path the the ontology or a dict returned by
    get_module_dependencies().

    If `filename` is given, write the graph to this file.

    If `fmt` is None, the output format is inferred from `filename`.

    If `show` is true, the graph is displayed.

    `strip_base` is passed on to get_module_dependencies() if `src` is not
    a dict.

    If `ignore_redundant` is true, redundant dependencies are not plotted.
    """
    if isinstance(src, dict):
        modules = src
    else:
        modules = get_module_dependencies(src, strip_base=strip_base)

    if ignore_redundant:
        modules = check_module_dependencies(modules, verbose=False)

    dot = graphviz.Digraph(comment="Module dependencies")
    dot.attr(rankdir="TB")
    dot.node_attr.update(
        style="filled", fillcolor="lightblue", shape="box", edgecolor="blue"
    )
    dot.edge_attr.update(arrowtail="open", dir="back")

    for iri in modules.keys():
        iriname = iri.split(":", 1)[1]
        dot.node(iriname, label=iri, URL=iri)

    for iri, deps in modules.items():
        for dep in deps:
            iriname = iri.split(":", 1)[1]
            depname = dep.split(":", 1)[1]
            dot.edge(depname, iriname)

    if filename:
        base, ext = os.path.splitext(filename)
        if fmt is None:
            fmt = ext.lstrip(".")
        dot.render(base, format=fmt, view=False, cleanup=True)

    if show:
        dot.view(cleanup=True)

    return dot