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from typing import Any
from taskgraph.task import Task
from taskgraph.util.readonlydict import ReadOnlyDict
immutable_types = {int, float, bool, str, type(None), ReadOnlyDict}
def deepcopy(obj: Any) -> Any:
"""Perform a deep copy of an object with a tree like structure.
This is a re-implementation of Python's `copy.deepcopy` function with a few key differences:
1. Unlike the stdlib, this does *not* support copying graph-like structure,
which allows it to be more efficient than deepcopy on tree-like structures
(such as Tasks).
2. This special cases support for `taskgraph.task.Task` objects.
Args:
obj: The object to deep copy.
Returns:
A deep copy of the object.
"""
ty = type(obj)
if ty in immutable_types:
return obj
if ty is dict:
return {k: deepcopy(v) for k, v in obj.items()}
if ty is list:
return [deepcopy(elt) for elt in obj]
if ty is Task:
task = Task(
kind=deepcopy(obj.kind),
label=deepcopy(obj.label),
attributes=deepcopy(obj.attributes),
task=deepcopy(obj.task),
description=deepcopy(obj.description),
optimization=deepcopy(obj.optimization),
dependencies=deepcopy(obj.dependencies),
soft_dependencies=deepcopy(obj.soft_dependencies),
if_dependencies=deepcopy(obj.if_dependencies),
)
if obj.task_id:
task.task_id = obj.task_id
return task
raise NotImplementedError(f"copying '{ty}' from '{obj}'")