import yaml
import os
import glob
import numpy as np
from easydict import EasyDict
from .utils import create_logger


class Config:
    def __init__(self, cfg_path, tag, train_mode=True):
        self.cfg_path = cfg_path
        self.cfg_name = os.path.basename(cfg_path).replace('.yaml', '').replace('.yml', '')
        self.tag = tag
        self.train_mode = train_mode
        files = glob.glob(cfg_path, recursive=True)
        assert (len(files) == 1), 'YAML file [{}] does not exist!'.format(cfg_path)
        yml_dict_ = EasyDict(yaml.safe_load(open(files[0], 'r')))
        if train_mode:
            self.yml_dict = yml_dict_
            self.results_root_dir = os.path.expanduser(self.yml_dict['results_root_dir'])
        else:
            yml_dict_.cfg_path = cfg_path
            yml_dict_.cfg_name = self.cfg_name
            yml_dict_.tag = tag
            yml_dict_.train_mode = train_mode
            self.yml_dict = yml_dict_
        self.ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))

    def create_dirs(self, tag_suffix=None):
        # results dirs
        tag = self.tag if tag_suffix is None else self.tag + tag_suffix
        if self.train_mode:
            self.cfg_dir = '%s/%s/%s' % (self.results_root_dir, self.cfg_name, tag)
        else:
            self.cfg_dir = os.path.dirname(self.cfg_path)

        self.model_dir = '%s/models' % self.cfg_dir
        self.log_dir = '%s/log' % self.cfg_dir
        self.sample_dir = '%s/samples' % self.cfg_dir
        self.model_path = os.path.join(self.model_dir, 'model_%04d.p')

        os.makedirs(self.sample_dir, exist_ok=True)
        os.makedirs(self.model_dir, exist_ok=True)
        os.makedirs(self.log_dir, exist_ok=True)
        self.model_files = glob.glob(os.path.join(self.model_dir, 'model_*.p'))

        if self.train_mode:
            log_file = os.path.join(self.log_dir, 'log.txt')
        else:
            log_file = os.path.join(self.log_dir, 'log_eval_{:s}.txt'.format(tag).replace('__', '_'))
            
        logger = create_logger(log_file)
        self.logger = logger

        # update the yaml file
        for key in sorted(dir(self)):
            if not key.startswith('__') and not callable(getattr(self, key)):
                if key in ['yml_dict', 'logger']:
                    continue
                if key not in self.yml_dict:
                    logger.info('New key {} ---> {}'.format(key, getattr(self, key)))
                    self.yml_dict[key] = getattr(self, key)
                else:
                    orig_val = self.yml_dict[key]
                    new_val = getattr(self, key)
                    if orig_val != new_val:
                        logger.info('Existing key {} ---> {} from {}'.format(key, new_val, orig_val))
                        self.yml_dict[key] = new_val

        if self.train_mode:
            # save the updated yaml file
            os.system('cp %s %s' % (self.cfg_path, self.cfg_dir))  # copy original config

            # dump the updated config from easydict [not perfect as there may be special items in the original config]

            def easydict_to_dict(easydict_obj):
                # Function to convert EasyDict to a dictionary recursively
                result = {}
                for key, value in easydict_obj.items():
                    if isinstance(value, EasyDict):
                        result[key] = easydict_to_dict(value)
                    else:
                        result[key] = value
                return result
            
            nested_dict = easydict_to_dict(self.yml_dict)

            with open(os.path.join(self.cfg_dir, '{:s}_updated.yml'.format(self.cfg_name)), 'w') as f:
                yaml.dump(nested_dict, f)

        return logger

    def get_last_epoch(self):
        model_files = glob.glob(os.path.join(self.model_dir, 'model_*.p'))
        if len(model_files) == 0:
            return None
        else:
            model_file = os.path.basename(model_files[-1])
            epoch = int(os.path.splitext(model_file)[0].split('model_')[-1])
            return epoch 
        
    def get_latest_ckpt(self):
        model_files = glob.glob(os.path.join(self.model_dir, 'model_*.p'))
        if len(model_files) == 0:
            return None
        else:
            epochs = np.array([int(os.path.splitext(f)[0].split('model_')[-1]) for f in model_files])
            last_epoch = epochs.max() 
            fp = os.path.join(self.model_dir, 'model_%04d.p' % last_epoch)
            return fp            

    def __getattribute__(self, name):
        try:
            yml_dict = super().__getattribute__('yml_dict')
        except AttributeError:
            return super().__getattribute__(name)  # Return default attribute if yml_dict is not set
        if name in yml_dict:
            return yml_dict[name]
        else:
            return super().__getattribute__(name)

    def __setattr__(self, name, value):
        try:
            yml_dict = super().__getattribute__('yml_dict')
        except AttributeError:
            return super().__setattr__(name, value)
        if name in yml_dict:
            yml_dict[name] = value
        else:
            return super().__setattr__(name, value)

    def get(self, name, default=None):
        if hasattr(self, name):
            return getattr(self, name)
        else:
            return default