Refactor: Simplify Vertex Queue Initialization by Removing is_input_vertex Dependency (#6155)
* 📝 (vertex_types.py): improve default value assignment logic based on edge type for ComponentVertex class * [autofix.ci] apply automated fixes * 📝 (schema.py): remove TextInput from INPUT_COMPONENTS list as it is no longer used ♻️ (vertex_types.py): refactor default_value assignment logic for ComponentVertex class to improve readability and maintainability * ✨ (schema.py): introduce new TextInput component to the list of INPUT_COMPONENTS for the graph schema * 📝 (vertex_types.py): improve default value assignment logic based on edge type for ComponentVertex class * [autofix.ci] apply automated fixes * 🐛 (utils.py): fix layered topological sort to prevent TextInput from being incorrectly placed at the start * ♻️ (vertex_types.py): Remove unnecessary comment about getting default value based on edge type to improve code readability and maintainability. * 🐛 (vertex_types.py): simplify default value assignment logic for cycle edges --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
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1 changed files with 4 additions and 2 deletions
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@ -457,7 +457,7 @@ def layered_topological_sort(
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predecessor_map: dict[str, list[str]],
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start_id: str | None = None,
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cycle_vertices: set[str] | None = None,
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is_input_vertex: Callable[[str], bool] | None = None,
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is_input_vertex: Callable[[str], bool] | None = None, # noqa: ARG001
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*,
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is_cyclic: bool = False,
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) -> list[list[str]]:
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@ -503,7 +503,9 @@ def layered_topological_sort(
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queue = deque(
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vertex_id
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for vertex_id in vertices_ids
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if in_degree_map[vertex_id] == 0 or (is_input_vertex and is_input_vertex(vertex_id))
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if in_degree_map[vertex_id] == 0
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# We checked if it is input but that caused the TextInput to be at the start
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# or (is_input_vertex and is_input_vertex(vertex_id))
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)
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layers: list[list[str]] = []
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