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-rw-r--r--bsfs/graph/result.py119
1 files changed, 119 insertions, 0 deletions
diff --git a/bsfs/graph/result.py b/bsfs/graph/result.py
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+
+# imports
+from collections import defaultdict
+import typing
+
+# bsfs imports
+from bsfs.utils import URI
+
+# exports
+__all__: typing.Sequence[str] = (
+ 'to_list_view',
+ 'to_dict_view',
+ )
+
+
+## code ##
+
+# FIXME: node, path, value seem counter-intuitive:
+# node.get(..., node=True) removes the node part.
+# wouldn't it make more sense if node=True keeps the node part
+# and node=False drops it?
+
+def to_list_view(
+ triples,
+ # aggregators
+ node: bool,
+ path: bool,
+ value: bool, # pylint: disable=unused-argument
+ ):
+ """Return an iterator over results.
+
+ Dependent on the *node*, *path*, and *value* flags,
+ the respective component is omitted.
+
+ """
+ if not node and not path:
+ return iter(val for _, _, val in triples)
+ if not node:
+ return iter((pred, val) for _, pred, val in triples)
+ if not path:
+ return iter((subj, val) for subj, _, val in triples)
+ return iter((subj, pred, val) for subj, pred, val in triples)
+
+
+def to_dict_view(
+ triples,
+ # context
+ one_node: bool,
+ one_path: bool,
+ unique_paths: typing.Set[typing.Union[URI, typing.Iterable[URI]]],
+ # aggregators
+ node: bool,
+ path: bool,
+ value: bool,
+ default: typing.Optional[typing.Any] = None,
+ ) -> typing.Any:
+ """Return a dict of results.
+
+ Note that triples are materialized to create this view.
+
+ The returned structure depends on the *node*, *path*, and *value* flags.
+ If all flags are set to False, returns a dict(node -> dict(path -> set(values))).
+ Setting a flag to true omits or simplifies the respective component (if possible).
+
+ """
+ # NOTE: To create a dict, we need to materialize or make further assumptions
+ # (e.g., sorted in a specific order).
+
+ data: typing.Any # disable type checks on data since it's very flexibly typed.
+
+ # FIXME: type of data can be overwritten later on (if value)
+
+ if not node and not path:
+ data = set()
+ elif node ^ path:
+ data = defaultdict(set)
+ else:
+ data = defaultdict(lambda: defaultdict(set))
+
+ for subj, pred, val in triples:
+ unique = pred in unique_paths
+ if not node and not path:
+ if not value and unique and one_node and one_path:
+ return val
+ data.add(val)
+ elif not node:
+ # remove node from result, group by predicate
+ if not value and unique and one_node:
+ data[pred] = val
+ else:
+ data[pred].add(val)
+ elif not path:
+ # remove predicate from result, group by node
+ if not value and unique and one_path:
+ data[subj] = val
+ else:
+ data[subj].add(val)
+ else:
+ if not value and unique:
+ data[subj][pred] = val
+ else:
+ data[subj][pred].add(val)
+
+ # FIXME: Combine multiple Nodes instances into one?
+
+ # convert defaultdict to ordinary dict
+ # pylint: disable=too-many-boolean-expressions
+ if not node and not path and not value \
+ and len(unique_paths) > 0 and one_node and one_path \
+ and len(data) == 0:
+ return default
+ # pylint: enable=too-many-boolean-expressions
+ if not node and not path:
+ return data
+ if node ^ path:
+ return dict(data)
+ return {key: dict(val) for key, val in data.items()}
+
+## EOF ##