import os
import argparse

def analyze_predictions(file_path):
    total = 0
    correct = 0
    incorrect_start_end = 0
    non_existence = 0
    wrong_syntax = 0
    
    with open(file_path, 'r') as f:
        for line in f:
            line = line.strip()
            if not line:
                continue
            total += 1
            parts = line.split()
            # Find where symbol starts (first non-digit, non-'x')
            symbol_start = len(parts)
            for i, p in enumerate(parts):
                if not (p.isdigit() or p == 'x'):
                    symbol_start = i
                    break
            symbol = ' '.join(parts[symbol_start:]).strip()
            if symbol == '':
                correct += 1
            elif symbol == 'incorrect start/end':
                incorrect_start_end += 1
            elif symbol.startswith('non-existence path'):
                non_existence += 1
            elif symbol == 'wrong syntax':
                wrong_syntax += 1
            # else: other, but according to code, only these
    
    print(f"Total paths: {total}")
    print(f"Correct paths: {correct} ({correct/total*100:.2f}%)")
    print(f"Incorrect start/end: {incorrect_start_end} ({incorrect_start_end/total*100:.2f}%)")
    print(f"Non-existence path: {non_existence} ({non_existence/total*100:.2f}%)")
    print(f"Wrong syntax: {wrong_syntax} ({wrong_syntax/total*100:.2f}%)")

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description='Analyze prediction results from test_simple.py')
    parser.add_argument('--ckpt_iter', type=int, default=10000, help='Checkpoint iteration')
    parser.add_argument('--config', type=str, default='1_1_120', help='Model config')
    parser.add_argument('--dataset', type=str, default='simple_graph', help='Dataset name')
    parser.add_argument('--num_nodes', type=int, default=100, help='Number of nodes')
    parser.add_argument('--num_of_paths', type=int, default=20, help='Number of paths')
    args = parser.parse_args()
    
    out_dir = f'out/{args.dataset}_{args.config}_{args.num_nodes}/'
    file_path = os.path.join(out_dir, f'pred_test_{args.ckpt_iter}.txt')
    
    if os.path.exists(file_path):
        analyze_predictions(file_path)
    else:
        print(f"File {file_path} not found.")