#!/usr/bin/env python3

################################################################################
#                                 Description                                  #
################################################################################
# calcprogress: Used to calculate the progress of the Metroid Prime decomp.    #
# Prints to stdout for now, but eventually will have some form of storage,     #
# i.e. CSV, so that it can be used for a webpage display.                      #
#                                                                              #
# Usage: No arguments needed                                                   #
################################################################################




###############################################
#                                             #
#                  Imports                    #
#                                             #
###############################################

import os
import sys
import struct
import re
import math
import argparse
import json

###############################################
#                                             #
#                 Constants                   #
#                                             #
###############################################

MEM1_HI = 0x81200000
MEM1_LO = 0x80004000

MW_WII_SYMBOL_REGEX = r"^\s*"\
r"(?P<SectOfs>\w{8})\s+"\
r"(?P<Size>\w{6})\s+"\
r"(?P<VirtOfs>\w{8})\s+"\
r"(?P<FileOfs>\w{8})\s+"\
r"(\w{1,2})\s+"\
r"(?P<Symbol>[0-9A-Za-z_<>$@.*]*)\s*"\
r"(?P<Object>\S*)"

MW_GC_SYMBOL_REGEX = r"^\s*"\
r"(?P<SectOfs>\w{8})\s+"\
r"(?P<Size>\w{6})\s+"\
r"(?P<VirtOfs>\w{8})\s+"\
r"(\w{1,2})\s+"\
r"(?P<Symbol>[0-9A-Za-z_<>$@.*]*)\s*"\
r"(?P<Object>\S*)"

REGEX_TO_USE = MW_GC_SYMBOL_REGEX

TEXT_SECTIONS = ["init", "text"]
DATA_SECTIONS = [
"rodata", "data", "bss", "sdata", "sbss", "sdata2", "sbss2",
"ctors", "_ctors", "dtors", "ctors$99", "_ctors$99", "ctors$00", "dtors$99",
"extab", "extabindex", "extab_", "extabindex_", "_extab", "_exidx"
]

# DOL info
TEXT_SECTION_COUNT = 7
DATA_SECTION_COUNT = 11

SECTION_TEXT = 0
SECTION_DATA = 1

# Progress flavor
codeFrac = 1499         # total code "item" amount
dataFrac = 250          # total data "item" amount
codeItem = "energy"     # code flavor item
dataItem = "missiles"   # data flavor item

###############################################
#                                             #
#                Entrypoint                   #
#                                             #
###############################################

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Calculate progress.")
    parser.add_argument("dol", help="Path to DOL")
    parser.add_argument("map", help="Path to map")
    parser.add_argument("-o", "--output", help="JSON output file")
    args = parser.parse_args()

    # HACK: Check asm or src in obj_file.mk
    # to avoid counting .comm/.lcomm as decompiled
    asm_objs = []
    with open('obj_files.mk', 'r') as file:
        for line in file:
            if "asm/" in line:
                asm_objs.append(line.strip().rsplit('/', 1)[-1].rstrip('\\'))

    # Sum up DOL section sizes
    dol_handle = open(args.dol, "rb")

    # Seek to virtual addresses
    dol_handle.seek(0x48)

    # Read virtual addresses
    text_starts = list()
    for i in range(TEXT_SECTION_COUNT):
        text_starts.append(int.from_bytes(dol_handle.read(4), byteorder='big'))
    data_starts = list()
    for i in range(DATA_SECTION_COUNT):
        data_starts.append(int.from_bytes(dol_handle.read(4), byteorder='big'))

    # Read lengths
    text_sizes = list()
    for i in range(TEXT_SECTION_COUNT):
        text_sizes.append(int.from_bytes(dol_handle.read(4), byteorder='big'))
    data_sizes = list()
    for i in range(DATA_SECTION_COUNT):
        data_sizes.append(int.from_bytes(dol_handle.read(4), byteorder='big'))



    # BSS address + length
    bss_start = int.from_bytes(dol_handle.read(4), byteorder='big')
    bss_size = int.from_bytes(dol_handle.read(4), byteorder='big')
    bss_end = bss_start + bss_size


    dol_code_size = 0
    dol_data_size = 0
    for i in range(DATA_SECTION_COUNT):
        # Ignore sections inside BSS
        if (data_starts[i] >= bss_start) and (data_starts[i] + data_sizes[i] <= bss_end): continue
        dol_data_size += data_sizes[i]

    dol_data_size += bss_size

    for i in text_sizes:
        dol_code_size += i

    # Open map file
    mapfile = open(args.map, "r")
    symbols = mapfile.readlines()

    decomp_code_size = 0
    decomp_data_size = 0
    section_type = None

    # Find first section
    first_section = 0
    while (symbols[first_section].startswith(".") == False and "section layout" not in symbols[first_section]): first_section += 1
    assert(first_section < len(symbols)), "Map file contains no sections!!!"

    cur_object = None
    cur_size = 0
    j = 0
    for i in range(first_section, len(symbols)):
        # New section
        if (symbols[i].startswith(".") == True or "section layout" in symbols[i]):
            # Grab section name (i.e. ".init section layout" -> "init")
            sectionName = re.search(r"\.*(?P<Name>\w+)\s", symbols[i]).group("Name")
            # Determine type of section
            section_type = SECTION_DATA if (sectionName in DATA_SECTIONS) else SECTION_TEXT
        # Parse symbols until we hit the next section declaration
        else:
            if "UNUSED" in symbols[i]: continue
            if "entry of" in symbols[i]:
                if j == i - 1:
                    if section_type == SECTION_TEXT:
                        decomp_code_size -= cur_size
                    else:
                        decomp_data_size -= cur_size
                    cur_size = 0
                    #print(f"Line* {j}: {symbols[j]}")
                #print(f"Line {i}: {symbols[i]}")
                continue
            assert(section_type != None), f"Symbol found outside of a section!!!\n{symbols[i]}"
            match_obj = re.search(REGEX_TO_USE, symbols[i])
            # Should be a symbol in ASM (so we discard it)
            if (match_obj == None):
                #print(f"Line {i}: {symbols[i]}")
                continue
            # Has the object file changed?
            last_object = cur_object
            cur_object = match_obj.group("Object").strip()
            if last_object != cur_object or cur_object in asm_objs: continue
            # Is the symbol a file-wide section?
            symb = match_obj.group("Symbol")
            if (symb.startswith("*fill*")) or (symb.startswith(".") and symb[1:] in TEXT_SECTIONS or symb[1:] in DATA_SECTIONS): continue
            # For sections that don't start with "."
            if (symb in DATA_SECTIONS): continue
            # If not, we accumulate the file size
            cur_size = int(match_obj.group("Size"), 16)
            j = i
            if (section_type == SECTION_TEXT):
                decomp_code_size += cur_size
            else:
                decomp_data_size += cur_size

    # Calculate percentages
    codeCompletionPcnt = (decomp_code_size / dol_code_size) # code completion percent
    dataCompletionPcnt = (decomp_data_size / dol_data_size) # data completion percent
    bytesPerCodeItem = dol_code_size / codeFrac # bytes per code item
    bytesPerDataItem = dol_data_size / dataFrac # bytes per data item

    codeCount = math.floor(decomp_code_size / bytesPerCodeItem)
    dataCount = math.floor(decomp_data_size / bytesPerDataItem)

    print("Progress:")
    print(f"\tCode sections: {decomp_code_size} / {dol_code_size}\tbytes in src ({codeCompletionPcnt:%})")
    print(f"\tData sections: {decomp_data_size} / {dol_data_size}\tbytes in src ({dataCompletionPcnt:%})")
    print("\nYou have {} out of {} {} and collected {} out of {} {}.".format(codeCount, codeFrac, codeItem, dataCount, dataFrac, dataItem))

    if args.output:
        data = {
            "dol": {
                "code": decomp_code_size,
                "code/total": dol_code_size,
                "data": decomp_data_size,
                "data/total": dol_data_size,
            }
        }
        with open(args.output, "w") as f:
            json.dump(data, f)