import os
import subprocess
from argparse import ArgumentParser
import json
from concurrent.futures import ThreadPoolExecutor
from tqdm import tqdm
import glob
import tempfile
import random

def wrapped_function(item):
    results = []
    passed = 0
    total = 0

    temp_dir = tempfile.gettempdir()
    temp_file = os.path.join(temp_dir, f"test.lean")

    with open(temp_file, "w") as f:
        f.write(item['cmd'])

    # Rest of the function code...
    # Process the item using the temporary file
    # ...

    # Clean up the temporary file
    data = '{"path": "%s", "allTactics": true}' %(temp_file)
    command = 'echo \'%s\' | lake exe repl' % data

    try:
        result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        stdout = result.stdout.decode('utf-8')
        stderr = result.stderr.decode('utf-8')
        #         stdout = result.stdout.decode('utf-8')
        json_stdout = json.loads(stdout)
        if "messages" not in json_stdout.keys():
            passed += 1
        # results.append({'item': item['content'], 'stdout': stdout, 'stderr': stderr, 'status': 'pass'})
        results.append({ 'stdout': stdout, 'stderr': stderr, 'status': 'pass'})
    except subprocess.CalledProcessError as e:
        # results.append({'item': item['content'], 'error': str(e), 'status': 'nopass'})
        results.append({ 'error': str(e), 'status': 'nopass'})
    total += 1

    pass_rate = passed / (passed + total) * 100


    return {'results': results, 'pass_rate': pass_rate}

# Set the directory where your .lean files are located

# Get a list of all .lean files in the directory
# lean_files = [f for f in os.listdir(directory) if f.endswith(".lean")]
# lean_files = ["test/file.lean"]
def single(command_list, args):
    results = []
    passed = 0
    total = 0
    for item in tqdm(command_list):
        with open("test/test.lean", "w", encoding = 'utf-8') as f:
            f.write(item['cmd'])
        data = '{"path": "test/test.lean", "allTactics": true}'
        # data = '{"cmd": "%s", "allTactics": true}' % item['cmd']
        command = 'echo \'%s\' | lake exe repl' % data
        try:
            # process = subprocess.Popen(['lake', 'exe', 'repl'], stdin=subprocess.PIPE, stdout=subprocess.PIPE,
            #                            stderr=subprocess.PIPE)
            # stdout, stderr = process.communicate(input=data.encode(encoding='utf-8'))
            # stdout = stdout.decode('utf-8')
            result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
            stdout = result.stdout.decode('utf-8')
            json_stdout = json.loads(stdout)
            if "messages" not in json_stdout.keys():
                passed += 1
            stderr = result.stderr.decode('utf-8')
            results.append({
                # 'item': item['content'],
                'stdout': stdout,
                'stderr': stderr,
                'status': 'pass'
            })
        except subprocess.CalledProcessError as e:
            results.append({
                # 'item': item['content'],
                'error': str(e),
                'status': 'nopass'
            })
        total += 1

    # Calculate pass rate
    pass_rate = passed / total * 100
    print(pass_rate)

    # Save results to a JSON file
    with open('results.json', 'w') as f:
        json.dump({'results': results, 'pass_rate': pass_rate}, f, indent=2, ensure_ascii=False)


def multi(command_list, output_path, k ):
    results = []
    passed = 0
    total = 0
    def execute_command(item, index):
        temp_dir = '/opt/jianqiao'
        def filter_json(json_data):
            filtered_data = {}
            for key in json_data.keys():
                if key in ['question', 'answer', 'total output', 'results']:
                    filtered_data[key] = json_data[key]
            return filtered_data
        result_dict = filter_json(item)
        result_dict['results'] = []
        
        for i, cmd in enumerate(item['cmd']):
            temp_file = os.path.join(temp_dir,f"{index}_test_{i}.lean")  # Ensure unique filenames
            with open(temp_file, "w") as f:
                f.write(cmd)

            data = '{"path": "%s", "allTactics": true}' % temp_file
            command = f'echo \'{data}\' | lake exe repl'

            try:
                result = subprocess.run(command, shell=True, check=True,timeout=600,  stdout=subprocess.PIPE, stderr=subprocess.PIPE)
                stdout = json.loads(result.stdout.decode('utf-8'))
                stderr = result.stderr.decode('utf-8')

            except subprocess.TimeoutExpired as e:
                result_item = {'error': str(e), 'status': 'nopass_limit'}

            except subprocess.CalledProcessError as e:
                result_item = {'error': str(e), 'status': 'nopass_error'}

            else:
                if "messages" not in stdout and not len(stderr):
                    result_item = {'stdout': stdout, 'stderr': stderr, 'status': 'pass' }
                elif not len(stderr) and "messages" in stdout:
                    flag = 0
                    for me in stdout['messages']:
                        if me['severity'] == 'error':
                            flag = 1
                            # start_line = me['pos']['line'] - 1
                            # current_column =me['pos']['column'] -1 
                            # for line_n in range(start_line - 1, 0 , -1):
                            #     line_len = len(cmd.split('\n')[line_n])
                            #     current_column  += line_len + 1
                            #     if not line_len: 
                            #         break
                            current_column = -1
                            result_item = {'stdout': stdout, 'stderr': stderr, 'status': 'nopass', 'string_pos':current_column}
                            break
                    if not flag :
                        result_item = {'stdout': stdout, 'stderr': stderr, 'status': 'pass'}
                else:
                    assert len(stderr)
                    result_item = {'stdout': stdout, 'stderr': stderr, 'status': 'nopass', 'string_pos': 0 }

            result_dict['results'].append(result_item)
        return result_dict


    total = len(command_list)

    with ThreadPoolExecutor(max_workers=128) as executor:
        futures = [executor.submit(execute_command, cmd, i) for i, cmd in enumerate(command_list)]
        for future in tqdm(futures, total=total, desc="Processing Commands"):
            result = future.result()
            results.append(result)
            # if result['status'] == 'pass':
            #     passed += 1
    
    def calculate_pass(result_list, k):
        pass_1_count = 0
        pass_k_count = 0

        for result in result_list:
            results = result.get('results', [])
            if results:
                for j in range(min(1, len(results))):
                    if results[j].get('status') == 'pass':
                        pass_1_count += 1
                        break

                for j in range(min(k, len(results))):
                    if results[j].get('status') == 'pass':
                        pass_k_count += 1
                        break

        pass_1 = pass_1_count / len(result_list) if result_list else 0
        pass_k = pass_k_count / len(result_list) if result_list else 0

        return pass_1, pass_k
    
    pass_1, pass_k = calculate_pass(results, k)
    print("Pass@1:", pass_1)
    print(f"Pass@{k}:", pass_k)

    # pass_rate = (passed / total) * 100
    # print(f"total test: {total}")
    # print(f"Pass rate: {pass_rate}%")

    output_file = f"pass_rate_results/{output_path}"
    # Create the directory if it doesn't exist
    os.makedirs(os.path.dirname(output_file), exist_ok=True)

    with open(f"{output_file}", 'w') as f:
        json.dump({'results': results, 'pass_1': pass_1, f"pass_{k}":pass_k}, f, indent=2, ensure_ascii=False)

import re
def remove_simp_pattern_from_end(s):
    pattern = r'@\[simp\s*.*?\]$'
    return re.sub(pattern, '', s)

def main(args):
    command_list = []
    file_pattern = os.path.join(args.input_path, '[0-1]*.json')
    # head_list = ["import MiniF2F.Minif2fImport", "import MiniF2F.Valid", "import MiniF2F.Test"]
    head_list = ''
    with open("MiniF2F/Minif2fImport.lean", 'r', encoding='utf8') as rf:
        for line in rf.readlines():
            head_list += line
    for file_path in glob.glob(file_pattern):
        with open(file_path, 'r', encoding='utf-8') as rf:
            for line in rf.readlines():
                try:
                    json_item = json.loads(line)
                    working_env = json_item['content']['header']
                    # pdb.set_trace()
                    # statement = json_item['total output'][0]
                    json_item['cmd'] = []
                    for output in json_item['total output'][:min(args.k, len(json_item['total output']))]:
                        proof = output.split("#align")[0]
                        atp = json_item['content']['formal_statement'].split(":=")[0] + ":=" + proof
                        
                        json_item['cmd'].append('\n\n'.join( [head_list, working_env,  atp]))
                        # print(json_item['cmd'][0])
                        # import pdb
                        # pdb.set_trace()

                    # json_item['answer'] = json_item['content']['statement_poof']
                    # json_item['cmd']  = '\n'.join([working_env, json_item['total output'][0]])
                except:
                    import pdb
                    pdb.set_trace()
                # import pdb
                # pdb.set_trace()
                command_list.append(json_item)
    multi(command_list, args.output_path, args.k)

if __name__ == '__main__':
    arg_parser = ArgumentParser()
    arg_parser.add_argument('--data_path', type=str,
                            default='/opt/tiger/CLIP/theorem_proving/generate_result/zero_shot/minif2f_test/generation/lean5_random_15k_all_mathrft/2/5/')
    arg_parser.add_argument('--input_path', type=str, default='/opt/tiger/CLIP/theorem_proving/generate_result/zero_shot/minif2f_test/generation/lean5_random_15k_all_mathrft/2/5/')
    arg_parser.add_argument('--cuda_num', type=int, default=8)
    arg_parser.add_argument('--k', type=int, default=5)
    arg_parser.add_argument('--output_path', type=str, default='total.json')
    arg_parser.add_argument('--generate_method', type=str,
                            choices=['single', 'sft', 'comp', 'self_consistency', 'single_consistency'])
    arg_parser.add_argument('--method', type=str, choices=['main', 'test', 'get_data'])
    args = arg_parser.parse_args()
    main(args)