Optimise pipeline addition and creation

RELEASE.md

@@ -6,6 +6,7 @@
 * Kedro commands now work from any subdirectory within a Kedro project.
 * Kedro CLI now provides a better error message when project commands are run outside of a project i.e. `kedro run`.
 * Dropped the dependency on `toposort` in favour of the built-in `graphlib` module.
+* Improve the performance of `Pipeline` object creation and summing.
 
 ## Bug fixes and other changes
 * Updated `kedro pipeline create` and `kedro pipeline delete` to read the base environment from the project settings.

kedro/pipeline/pipeline.py

@@ -143,7 +143,10 @@ def __init__(
         _validate_transcoded_inputs_outputs(nodes_chain)
         _tags = set(_to_list(tags))
 
-        tagged_nodes = [n.tag(_tags) for n in nodes_chain]
+        if _tags:
+            tagged_nodes = [n.tag(_tags) for n in nodes_chain]
+        else:
+            tagged_nodes = nodes_chain
 
         self._nodes_by_name = {node.name: node for node in tagged_nodes}
         _validate_unique_outputs(tagged_nodes)
@@ -162,7 +165,17 @@ def __init__(
                 self._nodes_by_output[_strip_transcoding(output)] = node
 
         self._nodes = tagged_nodes
-        self._toposorted_nodes = _toposort(self.node_dependencies)
+        self._toposorter = TopologicalSorter(self.node_dependencies)
+
+        # test for circular dependencies without executing the toposort for efficiency
+        try:
+            self._toposorter.prepare()
+        except CycleError as exc:
+            message = f"Circular dependencies exist among these items: {exc.args[1]}"
+            raise CircularDependencyError(message) from exc
+
+        self._toposorted_nodes: list[Node] = []
+        self._toposorted_groups: list[list[Node]] = []
 
     def __repr__(self) -> str:  # pragma: no cover
         """Pipeline ([node1, ..., node10 ...], name='pipeline_name')"""
@@ -179,7 +192,7 @@ def __repr__(self) -> str:  # pragma: no cover
     def __add__(self, other: Any) -> Pipeline:
         if not isinstance(other, Pipeline):
             return NotImplemented
-        return Pipeline(set(self.nodes + other.nodes))
+        return Pipeline(set(self._nodes + other._nodes))
 
     def __radd__(self, other: Any) -> Pipeline:
         if isinstance(other, int) and other == 0:
@@ -189,17 +202,17 @@ def __radd__(self, other: Any) -> Pipeline:
     def __sub__(self, other: Any) -> Pipeline:
         if not isinstance(other, Pipeline):
             return NotImplemented
-        return Pipeline(set(self.nodes) - set(other.nodes))
+        return Pipeline(set(self._nodes) - set(other._nodes))
 
     def __and__(self, other: Any) -> Pipeline:
         if not isinstance(other, Pipeline):
             return NotImplemented
-        return Pipeline(set(self.nodes) & set(other.nodes))
+        return Pipeline(set(self._nodes) & set(other._nodes))
 
     def __or__(self, other: Any) -> Pipeline:
         if not isinstance(other, Pipeline):
             return NotImplemented
-        return Pipeline(set(self.nodes + other.nodes))
+        return Pipeline(set(self._nodes + other._nodes))
 
     def all_inputs(self) -> set[str]:
         """All inputs for all nodes in the pipeline.
@@ -208,7 +221,7 @@ def all_inputs(self) -> set[str]:
             All node input names as a Set.
 
         """
-        return set.union(set(), *(node.inputs for node in self.nodes))
+        return set.union(set(), *(node.inputs for node in self._nodes))
 
     def all_outputs(self) -> set[str]:
         """All outputs of all nodes in the pipeline.
@@ -217,7 +230,7 @@ def all_outputs(self) -> set[str]:
             All node outputs.
 
         """
-        return set.union(set(), *(node.outputs for node in self.nodes))
+        return set.union(set(), *(node.outputs for node in self._nodes))
 
     def _remove_intermediates(self, datasets: set[str]) -> set[str]:
         intermediate = {_strip_transcoding(i) for i in self.all_inputs()} & {
@@ -347,6 +360,9 @@ def nodes(self) -> list[Node]:
             The list of all pipeline nodes in topological order.
 
         """
+        if not self._toposorted_nodes:
+            self._toposorted_nodes = [n for group in self.grouped_nodes for n in group]
+
         return list(self._toposorted_nodes)
 
     @property
@@ -360,7 +376,13 @@ def grouped_nodes(self) -> list[list[Node]]:
 
         """
 
-        return _group_toposorted(self._toposorted_nodes, self.node_dependencies)
+        if not self._toposorted_groups:
+            while self._toposorter:
+                group = sorted(self._toposorter.get_ready())
+                self._toposorted_groups.append(group)
+                self._toposorter.done(*group)
+
+        return [list(group) for group in self._toposorted_groups]
 
     def only_nodes(self, *node_names: str) -> Pipeline:
         """Create a new ``Pipeline`` which will contain only the specified
@@ -416,7 +438,7 @@ def only_nodes_with_namespace(self, node_namespace: str) -> Pipeline:
         """
         nodes = [
             n
-            for n in self.nodes
+            for n in self._nodes
             if n.namespace and n.namespace.startswith(node_namespace)
         ]
         if not nodes:
@@ -675,7 +697,7 @@ def only_nodes_with_tags(self, *tags: str) -> Pipeline:
                 of the tags provided are being copied.
         """
         unique_tags = set(tags)
-        nodes = [node for node in self.nodes if unique_tags & node.tags]
+        nodes = [node for node in self._nodes if unique_tags & node.tags]
         return Pipeline(nodes)
 
     def filter(  # noqa: PLR0913
@@ -759,7 +781,7 @@ def filter(  # noqa: PLR0913
         # would give different outcomes depending on the order of filter methods:
         # only_nodes and then from_inputs would give node1, while only_nodes and then
         # from_inputs would give node1 and node3.
-        filtered_pipeline = Pipeline(self.nodes)
+        filtered_pipeline = Pipeline(self._nodes)
         for subset_pipeline in subset_pipelines:
             filtered_pipeline &= subset_pipeline
 
@@ -778,7 +800,7 @@ def tag(self, tags: str | Iterable[str]) -> Pipeline:
         Returns:
             New ``Pipeline`` object with nodes tagged.
         """
-        nodes = [n.tag(tags) for n in self.nodes]
+        nodes = [n.tag(tags) for n in self._nodes]
         return Pipeline(nodes)
 
     def to_json(self) -> str:
@@ -790,7 +812,7 @@ def to_json(self) -> str:
                 "outputs": list(n.outputs),
                 "tags": list(n.tags),
             }
-            for n in self.nodes
+            for n in self._nodes
         ]
         pipeline_versioned = {
             "kedro_version": kedro.__version__,
@@ -883,47 +905,6 @@ def _validate_transcoded_inputs_outputs(nodes: list[Node]) -> None:
         )
 
 
-def _group_toposorted(
-    toposorted: Iterable[Node], deps: dict[Node, set[Node]]
-) -> list[list[Node]]:
-    """Group already toposorted nodes into independent toposorted groups"""
-    processed: set[Node] = set()
-    groups = []
-    group = []
-    for x in toposorted:
-        if set(deps.get(x, set())) <= processed:
-            group.append(x)
-        elif group:
-            processed |= set(group)
-            groups.append(sorted(group))
-            group = [x]
-
-    if group:
-        groups.append(sorted(group))
-    return groups
-
-
-def _toposort(node_dependencies: dict[Node, set[Node]]) -> list[Node]:
-    """Topologically sort (order) nodes such that no node depends on
-    a node that appears earlier in the list.
-
-    Raises:
-        CircularDependencyError: When it is not possible to topologically order
-            provided nodes.
-
-    Returns:
-        The list of nodes in order of execution.
-    """
-    try:
-        sorter = TopologicalSorter(node_dependencies)
-        # Ensure stable toposort by sorting the nodes in a group
-        groups = _group_toposorted(sorter.static_order(), node_dependencies)
-        return [n for group in groups for n in group]
-    except CycleError as exc:
-        message = f"Circular dependencies exist among these items: {exc.args[1]}"
-        raise CircularDependencyError(message) from exc
-
-
 class CircularDependencyError(Exception):
     """Raised when it is not possible to provide a topological execution
     order for nodes, due to a circular dependency existing in the node