#!/usr/bin/env python3
import argparse
from collections import defaultdict
from colorama import Back, Fore, Style
import enum
import utils
from utils import FunctionStatus
import typing as tp

parser = argparse.ArgumentParser()
parser.add_argument("--print-nm", "-n", action="store_true",
                    help="Print non-matching functions with major issues")
parser.add_argument("--print-eq", "-e", action="store_true",
                    help="Print non-matching functions with minor issues")
parser.add_argument("--print-ok", "-m", action="store_true",
                    help="Print matching functions")
args = parser.parse_args()

class AIClassType(enum.Enum):
    Action = 0
    AI = 1
    Behavior = 2
    Query = 3

code_size_total = 0
num_total = 0
code_size: tp.DefaultDict[FunctionStatus, int] = defaultdict(int)
counts: tp.DefaultDict[FunctionStatus, int] = defaultdict(int)
ai_counts: tp.DefaultDict[AIClassType, int] = defaultdict(int)
ai_counts_done: tp.DefaultDict[AIClassType, int] = defaultdict(int)

for info in utils.get_functions():
    code_size_total += info.size
    num_total += 1

    ai_class_type: tp.Optional[AIClassType] = None
    if info.name.startswith("AI_F_Action_"):
        ai_class_type = AIClassType.Action
    elif info.name.startswith("AI_F_AI_"):
        ai_class_type = AIClassType.AI
    elif info.name.startswith("AI_F_Behavior_"):
        ai_class_type = AIClassType.Behavior
    elif info.name.startswith("AI_F_Query_"):
        ai_class_type = AIClassType.Query

    if ai_class_type is not None:
        ai_counts[ai_class_type] += 1
        if info.decomp_name:
            ai_counts_done[ai_class_type] += 1

    if not info.decomp_name:
        continue

    counts[info.status] += 1
    code_size[info.status] += info.size

    if info.status == FunctionStatus.NonMatching:
        if args.print_nm:
            print(f"{Fore.RED}NM{Fore.RESET} {utils.format_symbol_name(info.decomp_name)}")
    elif info.status == FunctionStatus.Equivalent:
        if args.print_eq:
            print(f"{Fore.YELLOW}EQ{Fore.RESET} {utils.format_symbol_name(info.decomp_name)}")
    elif info.status == FunctionStatus.Matching:
        if args.print_ok:
            print(f"{Fore.GREEN}OK{Fore.RESET} {utils.format_symbol_name(info.decomp_name)}")
    elif info.status == FunctionStatus.Wip:
        print(f"{Back.RED}{Style.BRIGHT}{Fore.WHITE} WIP {Style.RESET_ALL} {utils.format_symbol_name(info.decomp_name)}{Style.RESET_ALL}")


def format_progress(label: str, num: int, size: int):
    percentage = round(100 * num / num_total, 3)
    size_percentage = round(100 * size / code_size_total, 3)
    return f"{num:>7d} {label}{Fore.RESET} ({percentage}% | size: {size_percentage}%)"

def format_progress_for_status(label: str, status: FunctionStatus):
    return format_progress(label, counts[status], code_size[status])

def format_ai_progress(label: str, class_type: AIClassType):
    percentage = round(100 * ai_counts_done[class_type] / ai_counts[class_type], 3)
    return f"{ai_counts_done[class_type]:>7d} {label}{Fore.RESET} ({percentage}%)"

print()

print(f"{num_total:>7d} functions (size: ~{code_size_total} bytes)")

count_decompiled = counts[FunctionStatus.Matching] + counts[FunctionStatus.Equivalent] + counts[FunctionStatus.NonMatching]
code_size_decompiled = code_size[FunctionStatus.Matching] + code_size[FunctionStatus.Equivalent] + code_size[FunctionStatus.NonMatching]

print(format_progress(f"{Fore.CYAN}decompiled", count_decompiled, code_size_decompiled))
print(format_progress_for_status(f"{Fore.GREEN}matching", FunctionStatus.Matching))
print(format_progress_for_status(f"{Fore.YELLOW}non-matching (minor issues)", FunctionStatus.Equivalent))
print(format_progress_for_status(f"{Fore.RED}non-matching (major issues)", FunctionStatus.NonMatching))

print()
print(format_ai_progress("actions", AIClassType.Action))
print(format_ai_progress("AIs", AIClassType.AI))
print(format_ai_progress("behaviors", AIClassType.Behavior))
print(format_ai_progress("queries", AIClassType.Query))