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"""
This module contains test utilities.
The tests for test utilities should be placed inside `test.utils.test`
(`test/utils/tests/`).
"""
from __future__ import annotations
import enum
import pprint
from typing import (
Any,
Callable,
Collection,
Dict,
FrozenSet,
Generator,
Iterable,
List,
Optional,
Sequence,
Set,
Tuple,
Type,
TypeVar,
Union,
cast,
)
import pytest
from _pytest.mark.structures import Mark, MarkDecorator, ParameterSet
import rdflib.compare
import rdflib.plugin
from rdflib import BNode, ConjunctiveGraph, Graph
from rdflib.graph import Dataset
from rdflib.plugin import Plugin
from rdflib.term import IdentifiedNode, Identifier, Literal, Node, URIRef
PluginT = TypeVar("PluginT")
__all__ = ["file_uri_to_path"]
def get_unique_plugins(
type: Type[PluginT],
) -> Dict[Type[PluginT], Set[Plugin[PluginT]]]:
result: Dict[Type[PluginT], Set[Plugin[PluginT]]] = {}
for plugin in rdflib.plugin.plugins(None, type):
cls = plugin.getClass()
plugins = result.setdefault(cls, set())
plugins.add(plugin)
return result
def get_unique_plugin_names(type: Type[PluginT]) -> Set[str]:
result: Set[str] = set()
unique_plugins = get_unique_plugins(type)
for type, plugin_set in unique_plugins.items():
result.add(next(iter(plugin_set)).name)
return result
GHNode = Union[Identifier, FrozenSet[Tuple[Identifier, Identifier, Identifier]]]
GHTriple = Tuple[GHNode, GHNode, GHNode]
GHTripleSet = Set[GHTriple]
GHTripleFrozenSet = FrozenSet[GHTriple]
GHQuad = Tuple[GHNode, GHNode, GHNode, Identifier]
GHQuadSet = Set[GHQuad]
GHQuadFrozenSet = FrozenSet[GHQuad]
NodeT = TypeVar("NodeT", bound=GHNode)
COLLAPSED_BNODE = URIRef("urn:fdc:rdflib.github.io:20220522:collapsed-bnode")
class BNodeHandling(str, enum.Enum):
COMPARE = "compare" # Compare BNodes as normal
EXCLUDE = "exclude" # Exclude blanks from comparison
COLLAPSE = "collapse" # Collapse all blank nodes to one IRI
class GraphHelper:
"""
Provides methods which are useful for working with graphs.
"""
@classmethod
def add_triples(
cls, graph: Graph, triples: Iterable[Tuple[Node, Node, Node]]
) -> Graph:
for triple in triples:
graph.add(triple)
return graph
@classmethod
def node(
cls, node: Node, bnode_handling: BNodeHandling = BNodeHandling.COMPARE
) -> GHNode:
"""
Return the identifier of the provided node.
"""
if isinstance(node, Graph):
xset = cast(GHNode, cls.triple_or_quad_set(node, bnode_handling))
return xset
return cast(Identifier, node)
@classmethod
def nodes(
cls,
nodes: Tuple[Node, ...],
bnode_handling: BNodeHandling = BNodeHandling.COMPARE,
) -> Tuple[GHNode, ...]:
"""
Return the identifiers of the provided nodes.
"""
result = []
for node in nodes:
result.append(cls.node(node, bnode_handling))
return tuple(result)
@classmethod
def _contains_bnodes(cls, nodes: Tuple[GHNode, ...]) -> bool:
"""
Return true if any of the nodes are BNodes.
"""
for node in nodes:
if isinstance(node, BNode):
return True
return False
@classmethod
def _collapse_bnodes(cls, nodes: Tuple[NodeT, ...]) -> Tuple[NodeT, ...]:
"""
Return BNodes as COLLAPSED_BNODE
"""
result: List[NodeT] = []
for node in nodes:
if isinstance(node, BNode):
result.append(cast(NodeT, COLLAPSED_BNODE))
else:
result.append(node)
return tuple(result)
@classmethod
def triple_set(
cls, graph: Graph, bnode_handling: BNodeHandling = BNodeHandling.COMPARE
) -> GHTripleFrozenSet:
result: GHTripleSet = set()
for sn, pn, on in graph.triples((None, None, None)):
s, p, o = cls.nodes((sn, pn, on), bnode_handling)
if bnode_handling == BNodeHandling.EXCLUDE and cls._contains_bnodes(
(s, p, o)
):
continue
elif bnode_handling == BNodeHandling.COLLAPSE:
s, p, o = cls._collapse_bnodes((s, p, o))
# if bnode_handling == BNodeHandling.EXCLUDE (
# isinstance(s, BNode) or isinstance(p, BNode) or isinstance(o, BNode)
# ):
# continue
result.add((s, p, o))
return frozenset(result)
@classmethod
def triple_sets(
cls,
graphs: Iterable[Graph],
bnode_handling: BNodeHandling = BNodeHandling.COMPARE,
) -> List[GHTripleFrozenSet]:
"""
Extracts the set of all triples from the supplied Graph.
"""
result: List[GHTripleFrozenSet] = []
for graph in graphs:
result.append(cls.triple_set(graph, bnode_handling))
return result
@classmethod
def quad_set(
cls,
graph: ConjunctiveGraph,
bnode_handling: BNodeHandling = BNodeHandling.COMPARE,
) -> GHQuadFrozenSet:
"""
Extracts the set of all quads from the supplied ConjunctiveGraph.
"""
result: GHQuadSet = set()
for sn, pn, on, gn in graph.quads((None, None, None, None)):
gn_id: Identifier
if isinstance(graph, Dataset):
assert isinstance(gn, Identifier)
gn_id = gn # type: ignore[unreachable]
elif isinstance(graph, ConjunctiveGraph):
assert isinstance(gn, Graph)
gn_id = gn.identifier
else:
raise ValueError(f"invalid graph type {type(graph)}: {graph!r}")
s, p, o = cls.nodes((sn, pn, on), bnode_handling)
if bnode_handling == BNodeHandling.EXCLUDE and cls._contains_bnodes(
(s, p, o, gn_id)
):
continue
elif bnode_handling == BNodeHandling.COLLAPSE:
s, p, o, gn_id = cast(GHQuad, cls._collapse_bnodes((s, p, o, gn_id)))
quad: GHQuad = (s, p, o, gn_id)
result.add(quad)
return frozenset(result)
@classmethod
def triple_or_quad_set(
cls, graph: Graph, bnode_handling: BNodeHandling = BNodeHandling.COMPARE
) -> Union[GHQuadFrozenSet, GHTripleFrozenSet]:
"""
Extracts quad or triple sets depending on whether or not the graph is
ConjunctiveGraph or a normal Graph.
"""
if isinstance(graph, ConjunctiveGraph):
return cls.quad_set(graph, bnode_handling)
return cls.triple_set(graph, bnode_handling)
@classmethod
def assert_triple_sets_equals(
cls,
lhs: Graph,
rhs: Graph,
bnode_handling: BNodeHandling = BNodeHandling.COMPARE,
negate: bool = False,
) -> None:
"""
Asserts that the triple sets in the two graphs are equal.
"""
lhs_set = cls.triple_set(lhs, bnode_handling) if isinstance(lhs, Graph) else lhs
rhs_set = cls.triple_set(rhs, bnode_handling) if isinstance(rhs, Graph) else rhs
if not negate:
assert lhs_set == rhs_set
else:
assert lhs_set != rhs_set
@classmethod
def assert_quad_sets_equals(
cls,
lhs: Union[ConjunctiveGraph, GHQuadSet],
rhs: Union[ConjunctiveGraph, GHQuadSet],
bnode_handling: BNodeHandling = BNodeHandling.COMPARE,
negate: bool = False,
) -> None:
"""
Asserts that the quads sets in the two graphs are equal.
"""
lhs_set = cls.quad_set(lhs, bnode_handling) if isinstance(lhs, Graph) else lhs
rhs_set = cls.quad_set(rhs, bnode_handling) if isinstance(rhs, Graph) else rhs
if not negate:
assert lhs_set == rhs_set
else:
assert lhs_set != rhs_set
@classmethod
def assert_collection_graphs_equal(
cls, lhs: ConjunctiveGraph, rhs: ConjunctiveGraph
) -> None:
"""
Assert that all graphs in the provided collections are equal,
comparing named graphs with identically named graphs.
"""
cls.assert_triple_sets_equals(lhs.default_context, rhs.default_context)
graph_names = cls.non_default_graph_names(lhs) | cls.non_default_graph_names(
rhs
)
for identifier in graph_names:
cls.assert_triple_sets_equals(
lhs.get_context(identifier), rhs.get_context(identifier)
)
@classmethod
def assert_sets_equals(
cls,
lhs: Union[Graph, GHTripleSet, GHQuadSet],
rhs: Union[Graph, GHTripleSet, GHQuadSet],
bnode_handling: BNodeHandling = BNodeHandling.COMPARE,
negate: bool = False,
) -> None:
"""
Asserts that that ther quad or triple sets from the two graphs are equal.
"""
lhs_set = (
cls.triple_or_quad_set(lhs, bnode_handling)
if isinstance(lhs, Graph)
else lhs
)
rhs_set = (
cls.triple_or_quad_set(rhs, bnode_handling)
if isinstance(rhs, Graph)
else rhs
)
if not negate:
assert lhs_set == rhs_set
else:
assert lhs_set != rhs_set
@classmethod
def format_set(
cls,
item_set: Union[GHQuadSet, GHQuadFrozenSet, GHTripleSet, GHTripleFrozenSet],
indent: int = 1,
sort: bool = False,
) -> str:
def _key(node: Union[GHTriple, GHQuad, GHNode]):
val: Any = node
if isinstance(node, tuple):
val = tuple(_key(item) for item in node)
if isinstance(node, frozenset):
for triple in node:
nodes = cls.nodes(triple)
val = tuple(_key(item) for item in nodes)
key = (f"{type(node)}", val)
return key
use_item_set = sorted(item_set, key=_key) if sort else item_set
return pprint.pformat(use_item_set, indent)
@classmethod
def format_graph_set(cls, graph: Graph, indent: int = 1, sort: bool = False) -> str:
return cls.format_set(cls.triple_or_quad_set(graph), indent, sort)
@classmethod
def assert_isomorphic(
cls, lhs: Graph, rhs: Graph, message: Optional[str] = None
) -> None:
"""
This asserts that the two graphs are isomorphic, providing a nicely
formatted error message if they are not.
"""
# TODO FIXME: This should possibly raise an error when used on a ConjunctiveGraph
def format_report(message: Optional[str] = None) -> str:
in_both, in_lhs, in_rhs = rdflib.compare.graph_diff(lhs, rhs)
preamle = "" if message is None else f"{message}\n"
return (
f"{preamle}in both:\n"
f"{cls.format_graph_set(in_both)}"
"\nonly in first:\n"
f"{cls.format_graph_set(in_lhs, sort = True)}"
"\nonly in second:\n"
f"{cls.format_graph_set(in_rhs, sort = True)}"
)
assert rdflib.compare.isomorphic(lhs, rhs), format_report(message)
@classmethod
def assert_cgraph_isomorphic(
cls,
lhs: ConjunctiveGraph,
rhs: ConjunctiveGraph,
exclude_bnodes: bool,
message: Optional[str] = None,
) -> None:
def get_contexts(cgraph: ConjunctiveGraph) -> Dict[URIRef, Graph]:
result = {}
for context in cgraph.contexts():
if isinstance(context.identifier, BNode):
if exclude_bnodes:
continue
else:
raise AssertionError("BNode labelled graphs not supported")
elif isinstance(context.identifier, URIRef):
if len(context) == 0:
# If a context has no triples it does not exist in a
# meaningful way.
continue
result[context.identifier] = context
else:
raise AssertionError(
f"unsupported context identifier {context.identifier}"
)
return result
lhs_contexts = get_contexts(lhs)
rhs_contexts = get_contexts(rhs)
assert (
lhs_contexts.keys() == rhs_contexts.keys()
), f"must have same context ids in LHS and RHS (exclude_bnodes={exclude_bnodes})"
for id, lhs_context in lhs_contexts.items():
cls.assert_isomorphic(lhs_context, rhs_contexts[id], message)
@classmethod
def strip_literal_datatypes(cls, graph: Graph, datatypes: Set[URIRef]) -> None:
"""
Strips datatypes in the provided set from literals in the graph.
"""
for object in graph.objects():
if not isinstance(object, Literal):
continue
if object.datatype is None:
continue
if object.datatype in datatypes:
object._datatype = None
@classmethod
def non_default_graph_names(
cls, container: ConjunctiveGraph
) -> Set[IdentifiedNode]:
return set(context.identifier for context in container.contexts()) - {
container.default_context.identifier
}
@classmethod
def non_default_graphs(cls, container: ConjunctiveGraph) -> Sequence[Graph]:
result = []
for name in cls.non_default_graph_names(container):
result.append(container.get_context(name))
return result
def eq_(lhs, rhs, msg=None):
"""
This function mimicks the similar function from nosetest. Ideally nothing
should use it but there is a lot of code that still does and it's fairly
simple to just keep this small pollyfill here for now.
"""
if msg:
assert lhs == rhs, msg
else:
assert lhs == rhs
ParamsT = TypeVar("ParamsT", bound=tuple)
MarksType = Collection[Union[MarkDecorator, Mark]]
MarkListType = List[Union[MarkDecorator, Mark]]
MarkType = Union[MarkDecorator, MarksType]
MarkerType = Callable[..., Optional[MarkType]]
def marks_to_list(mark: MarkType) -> MarkListType:
if isinstance(mark, (MarkDecorator, Mark)):
return [mark]
elif isinstance(mark, list):
return mark
return list(*mark)
def pytest_mark_filter(
param_sets: Iterable[Union[ParamsT, ParameterSet]],
mark_dict: Dict[ParamsT, MarksType],
) -> Generator[ParameterSet, None, None]:
"""
Adds marks to test parameters. Useful for adding xfails to test parameters.
"""
for param_set in param_sets:
if isinstance(param_set, ParameterSet):
# param_set.marks = [*param_set.marks, *marks.get(param_set.values, ())]
yield pytest.param(
*param_set.values,
id=param_set.id,
marks=[
*param_set.marks,
*mark_dict.get(
cast(ParamsT, param_set.values), cast(MarksType, ())
),
],
)
else:
yield pytest.param(
*param_set, marks=mark_dict.get(param_set, cast(MarksType, ()))
)
def affix_tuples(
prefix: Optional[Tuple[Any, ...]],
tuples: Iterable[Tuple[Any, ...]],
suffix: Optional[Tuple[Any, ...]],
) -> Generator[Tuple[Any, ...], None, None]:
if prefix is None:
prefix = tuple()
if suffix is None:
suffix = tuple()
for item in tuples:
yield (*prefix, *item, *suffix)
def ensure_suffix(value: str, suffix: str) -> str:
if not value.endswith(suffix):
value = f"{value}{suffix}"
return value
def idfns(*idfns: Callable[[Any], Optional[str]]) -> Callable[[Any], Optional[str]]:
"""
Returns an ID function which will try each of the provided ID
functions in order.
Args:
idfns: The ID functions to try.
Returns:
An ID function which will try each of the provided ID functions.
"""
def _idfns(value: Any) -> Optional[str]:
for idfn in idfns:
result = idfn(value)
if result is not None:
return result
return None
return _idfns
from test.utils.iri import file_uri_to_path # noqa: E402
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