a simple implementation of a Binary Search Tree in Python

binarySearchTree.py

class Node:
    def __init__(self, val):
        self.val = val
        self.leftChild = None
        self.rightChild = None
    
    def get(self):
        return self.val
    
    def set(self, val):
        self.val = val
        
    def getChildren(self):
        children = []
        if(self.leftChild != None):
            children.append(self.leftChild)
        if(self.rightChild != None):
            children.append(self.rightChild)
        return children
        
class BST:
    def __init__(self):
        self.root = None

    def setRoot(self, val):
        self.root = Node(val)

    def insert(self, val):
        if(self.root is None):
            self.setRoot(val)
        else:
            self.insertNode(self.root, val)

    def insertNode(self, currentNode, val):
        if(val <= currentNode.val):
            if(currentNode.leftChild):
                self.insertNode(currentNode.leftChild, val)
            else:
                currentNode.leftChild = Node(val)
        elif(val > currentNode.val):
            if(currentNode.rightChild):
                self.insertNode(currentNode.rightChild, val)
            else:
                currentNode.rightChild = Node(val)

    def find(self, val):
        return self.findNode(self.root, val)

    def findNode(self, currentNode, val):
        if(currentNode is None):
            return False
        elif(val == currentNode.val):
            return True
        elif(val < currentNode.val):
            return self.findNode(currentNode.leftChild, val)
        else:
            return self.findNode(currentNode.rightChild, val)

@rakaar I think the code to find the successor_node might not yield the correct result. Suppose a bst rooted at 69, and its right side nodes are 70,82,84. Now I want to find 69's successor, according to your code i will go to right and i will find the node with maximum key and that will be the successor of 69. In the above example the maximum key is 84, which is not the successor of 69(successor of 69 is 70 in the above example) . I think to find the successor, you have to go right and find the node with minimum key value, which is in the above example 70. Correct me if I am wrong

Thanks a lot @Aniket2ten96 for pointing it out
I have made the changes
You are right, it should be finding out the minimum in the subtree where self.rightNode acts as the root. Hence replaced the wrong function with find_min_in_sub_tree along with its implementation

Thank you for the clean example!