import datetime
from TTS.utils.io import AttrDict


tcolors = AttrDict({
    'OKBLUE': '\033[94m',
    'HEADER': '\033[95m',
    'OKGREEN': '\033[92m',
    'WARNING': '\033[93m',
    'FAIL': '\033[91m',
    'ENDC': '\033[0m',
    'BOLD': '\033[1m',
    'UNDERLINE': '\033[4m'
})


class ConsoleLogger():
    def __init__(self):
        # TODO: color code for value changes
        # use these to compare values between iterations
        self.old_train_loss_dict = None
        self.old_epoch_loss_dict = None
        self.old_eval_loss_dict = None

    # pylint: disable=no-self-use
    def get_time(self):
        now = datetime.datetime.now()
        return now.strftime("%Y-%m-%d %H:%M:%S")

    def print_epoch_start(self, epoch, max_epoch):
        print("\n{}{} > EPOCH: {}/{}{}".format(tcolors.UNDERLINE, tcolors.BOLD,
                                               epoch, max_epoch, tcolors.ENDC),
              flush=True)

    def print_train_start(self):
        print(f"\n{tcolors.BOLD} > TRAINING ({self.get_time()}) {tcolors.ENDC}")

    def print_train_step(self, batch_steps, step, global_step, avg_spec_length,
                         avg_text_length, step_time, loader_time, lr,
                         loss_dict, avg_loss_dict):
        indent = "     | > "
        print()
        log_text = "{}   --> STEP: {}/{} -- GLOBAL_STEP: {}{}\n".format(
            tcolors.BOLD, step, batch_steps, global_step, tcolors.ENDC)
        for key, value in loss_dict.items():
            # print the avg value if given
            if f'avg_{key}' in avg_loss_dict.keys():
                log_text += "{}{}: {:.5f}  ({:.5f})\n".format(indent, key, value, avg_loss_dict[f'avg_{key}'])
            else:
                log_text += "{}{}: {:.5f} \n".format(indent, key, value)
        log_text += f"{indent}avg_spec_len: {avg_spec_length}\n{indent}avg_text_len: {avg_text_length}\n{indent}"\
            f"step_time: {step_time:.2f}\n{indent}loader_time: {loader_time:.2f}\n{indent}lr: {lr:.5f}"
        print(log_text, flush=True)

    # pylint: disable=unused-argument
    def print_train_epoch_end(self, global_step, epoch, epoch_time,
                              print_dict):
        indent = "     | > "
        log_text = f"\n{tcolors.BOLD}   --> TRAIN PERFORMACE -- EPOCH TIME: {epoch} sec -- GLOBAL_STEP: {global_step}{tcolors.ENDC}\n"
        for key, value in print_dict.items():
            log_text += "{}{}: {:.5f}\n".format(indent, key, value)
        print(log_text, flush=True)

    def print_eval_start(self):
        print(f"{tcolors.BOLD} > EVALUATION {tcolors.ENDC}\n")

    def print_eval_step(self, step, loss_dict, avg_loss_dict):
        indent = "     | > "
        print()
        log_text = f"{tcolors.BOLD}   --> STEP: {step}{tcolors.ENDC}\n"
        for key, value in loss_dict.items():
            # print the avg value if given
            if f'avg_{key}' in avg_loss_dict.keys():
                log_text += "{}{}: {:.5f}  ({:.5f})\n".format(indent, key, value, avg_loss_dict[f'avg_{key}'])
            else:
                log_text += "{}{}: {:.5f} \n".format(indent, key, value)
        print(log_text, flush=True)

    def print_epoch_end(self, epoch, avg_loss_dict):
        indent = "     | > "
        log_text = "  {}--> EVAL PERFORMANCE{}\n".format(
            tcolors.BOLD, tcolors.ENDC)
        for key, value in avg_loss_dict.items():
            # print the avg value if given
            color = tcolors.FAIL
            sign = '+'
            diff = 0
            if self.old_eval_loss_dict is not None:
                diff = value - self.old_eval_loss_dict[key]
                if diff <= 0:
                    color = tcolors.OKGREEN
                    sign = ''
            log_text += "{}{}:{} {:.5f} {}({}{:.5f})\n".format(indent, key, color, value, tcolors.ENDC, sign, diff)
        self.old_eval_loss_dict = avg_loss_dict
        print(log_text, flush=True)