#
#     Sam Hadow - Huffman-py
#     Copyright (C) 2023
#
#     This program is free software: you can redistribute it and/or modify
#     it under the terms of the GNU General Public License as published by
#     the Free Software Foundation, either version 3 of the License, or
#     (at your option) any later version.
#
#     This program is distributed in the hope that it will be useful,
#     but WITHOUT ANY WARRANTY; without even the implied warranty of
#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#     GNU General Public License for more details.
#
#     You should have received a copy of the GNU General Public License
#     along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
from huffman_py.functions.occurence import *
from huffman_py.functions.calculate_code import *
from huffman_py.functions.print_binary import *
from huffman_py.Node import Node
from huffman_py.Tree import Tree

def huffman_encode(the_data):
        char_and_occurences = calcul_occurence(the_data)

        # log char and occurences
        the_char = char_and_occurences.keys()
        the_occurences = char_and_occurences.values()
        print("char: ", the_char)
        print("occurences: ", the_occurences)

        the_nodes = []

        # convert char and occurences in nodes
        for char in the_char:
            the_nodes.append(Node(char_and_occurences.get(char), char))

        while len(the_nodes) > 1:
            # sort nodes
            the_nodes = sorted(the_nodes, key = lambda x: x.occurrence)

            # get the 2 smallest nodes
            left = the_nodes[0]
            right = the_nodes[1]

            left.code = 0
            right.code = 1

            # Merge these 2 nodes
            new_node = Node(left.occurrence + right.occurrence, left.char + right.char, left, right)

            the_nodes.remove(left)
            the_nodes.remove(right)
            the_nodes.append(new_node)

        my_tree = Tree(the_nodes[0])

        huffmanEncoding = calculate_code(the_nodes[0])
        print("char avec codes", huffmanEncoding)
        encodedOutput = print_binary(the_data,huffmanEncoding)
        return encodedOutput, the_nodes[0], huffmanEncoding