Source code for pybel.struct.filters.edge_predicates

# -*- coding: utf-8 -*-

"""Predicates for edge data from BEL graphs."""

from functools import wraps
from typing import Any, Callable, Optional

from .typing import EdgePredicate
from .utils import part_has_modifier
from ..graph import BELGraph
from ...constants import (
    ACTIVITY, ANNOTATIONS, ASSOCIATION, CAUSAL_RELATIONS, CITATION, CITATION_AUTHORS, CITATION_DB,
    CITATION_TYPE_PUBMED, DEGRADATION, DIRECT_CAUSAL_RELATIONS, EVIDENCE, OBJECT, POLAR_RELATIONS, RELATION, SUBJECT,
    TRANSLOCATION,
)
from ...dsl import BaseEntity, BiologicalProcess, Pathology
from ...typing import EdgeData

__all__ = [
    'edge_predicate',
    'keep_edge_permissive',
    'has_provenance',
    'has_pubmed',
    'has_authors',
    'is_causal_relation',
    'not_causal_relation',
    'is_direct_causal_relation',
    'is_associative_relation',
    'has_polarity',
    'edge_has_activity',
    'edge_has_degradation',
    'edge_has_translocation',
    'edge_has_annotation',
    'has_pathology_causal',
]

DictEdgePredicate = Callable[[EdgeData], bool]


[docs]def edge_predicate(func: DictEdgePredicate) -> EdgePredicate: # noqa: D202 """Decorate an edge predicate function that only takes a dictionary as its singular argument. Apply this as a decorator to a function that takes a single argument, a PyBEL node data dictionary, to make sure that it can also accept a pair of arguments, a BELGraph and a PyBEL node tuple as well. """ @wraps(func) def _wrapped(*args): x = args[0] if isinstance(x, BELGraph): u, v, k = args[1:4] return func(x[u][v][k]) return func(*args) return _wrapped
[docs]def keep_edge_permissive(*args, **kwargs) -> bool: """Return true for all edges. :param dict data: A PyBEL edge data dictionary from a :class:`pybel.BELGraph` :return: Always returns :code:`True` """ return True
[docs]@edge_predicate def has_provenance(edge_data: EdgeData) -> bool: """Check if the edge has provenance information (i.e. citation and evidence).""" return CITATION in edge_data and EVIDENCE in edge_data
[docs]@edge_predicate def has_pubmed(edge_data: EdgeData) -> bool: """Check if the edge has a PubMed citation.""" return CITATION in edge_data and CITATION_TYPE_PUBMED == edge_data[CITATION][CITATION_DB]
[docs]@edge_predicate def has_authors(edge_data: EdgeData) -> bool: """Check if the edge contains author information for its citation.""" return CITATION in edge_data and CITATION_AUTHORS in edge_data[CITATION] and edge_data[CITATION][CITATION_AUTHORS]
[docs]@edge_predicate def is_causal_relation(edge_data: EdgeData) -> bool: """Check if the given relation is causal.""" return edge_data[RELATION] in CAUSAL_RELATIONS
[docs]@edge_predicate def not_causal_relation(edge_data: EdgeData) -> bool: """Check if the given relation is not causal.""" return edge_data[RELATION] not in CAUSAL_RELATIONS
[docs]@edge_predicate def is_direct_causal_relation(edge_data: EdgeData) -> bool: """Check if the edge is a direct causal relation.""" return edge_data[RELATION] in DIRECT_CAUSAL_RELATIONS
[docs]@edge_predicate def is_associative_relation(edge_data: EdgeData) -> bool: """Check if the edge has an association relation.""" return edge_data[RELATION] == ASSOCIATION
[docs]@edge_predicate def has_polarity(edge_data: EdgeData) -> bool: """Check if the edge has polarity.""" return edge_data[RELATION] in POLAR_RELATIONS
def _has_modifier(edge_data: EdgeData, modifier: str) -> bool: """Check if the edge has the given modifier. :param edge_data: The edge data dictionary :param modifier: The modifier to check. One of :data:`pybel.constants.ACTIVITY`, :data:`pybel.constants.DEGRADATION`, or :data:`pybel.constants.TRANSLOCATION`. :return: Does either the subject or object have the given modifier """ return part_has_modifier(edge_data, SUBJECT, modifier) or part_has_modifier(edge_data, OBJECT, modifier)
[docs]@edge_predicate def edge_has_activity(edge_data: EdgeData) -> bool: """Check if the edge contains an activity in either the subject or object.""" return _has_modifier(edge_data, ACTIVITY)
[docs]@edge_predicate def edge_has_translocation(edge_data: EdgeData) -> bool: """Check if the edge has a translocation in either the subject or object.""" return _has_modifier(edge_data, TRANSLOCATION)
[docs]@edge_predicate def edge_has_degradation(edge_data: EdgeData) -> bool: """Check if the edge contains a degradation in either the subject or object.""" return _has_modifier(edge_data, DEGRADATION)
[docs]def edge_has_annotation(edge_data: EdgeData, key: str) -> Optional[Any]: """Check if an edge has the given annotation. :param edge_data: The data dictionary from a BELGraph's edge :param key: An annotation key :return: If the annotation key is present in the current data dictionary For example, it might be useful to print all edges that are annotated with 'Subgraph': >>> from pybel.examples import sialic_acid_graph >>> for u, v, data in sialic_acid_graph.edges(data=True): >>> if edge_has_annotation(data, 'Species') >>> print(u, v, data) """ annotations = edge_data.get(ANNOTATIONS) if annotations is None: return None return annotations.get(key)
[docs]def has_pathology_causal(graph: BELGraph, u: BaseEntity, v: BaseEntity, k: str) -> bool: """Check if the subject is a pathology and has a causal relationship with a non bioprocess/pathology. :return: If the subject of this edge is a pathology and it participates in a causal reaction. """ return ( isinstance(u, Pathology) and is_causal_relation(graph, u, v, k) and not isinstance(v, (Pathology, BiologicalProcess)) )