# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.

"""
Miscellaneous utility functions.
"""

import math
import os.path
from pathlib import Path
from typing import Any, Dict, Optional, Union, List

PathLike = Union[Path, str]

def case_insensitive(key_or_kwargs: Union[str, Dict[str, Any]]) -> Union[str, Dict[str, Any]]:
    if isinstance(key_or_kwargs, str):
        return key_or_kwargs.lower().replace('_', '')
    else:
        return {key.lower().replace('_', ''): value for key, value in key_or_kwargs.items()}

def camel_case(key: str) -> str:
    words = key.split('_')
    return words[0] + ''.join(word.title() for word in words[1:])

def canonical_path(path: Optional[PathLike]) -> Optional[str]:
    # Path.resolve() does not work on Windows when file not exist, so use os.path instead
    return os.path.abspath(os.path.expanduser(path)) if path is not None else None

def count(*values) -> int:
    return sum(value is not None and value is not False for value in values)

def training_service_config_factory(platform: Union[str, List[str]] = None, config: Union[List, Dict] = None): # -> TrainingServiceConfig
    from .common import TrainingServiceConfig
    ts_configs = []
    if platform is not None:
        assert config is None
        platforms = platform if isinstance(platform, list) else [platform]
        for cls in TrainingServiceConfig.__subclasses__():
            if cls.platform in platforms:
                ts_configs.append(cls())
        if len(ts_configs) < len(platforms):
            raise RuntimeError('There is unrecognized platform!')
    else:
        assert config is not None
        supported_platforms = {cls.platform: cls for cls in TrainingServiceConfig.__subclasses__()}
        configs = config if isinstance(config, list) else [config]
        for conf in configs:
            if conf['platform'] not in supported_platforms:
                raise RuntimeError(f'Unrecognized platform {conf["platform"]}')
            ts_configs.append(supported_platforms[conf['platform']](**conf))
    return ts_configs if len(ts_configs) > 1 else ts_configs[0]

def load_config(Type, value):
    if isinstance(value, list):
        return [load_config(Type, item) for item in value]
    if isinstance(value, dict):
        return Type(**value)
    return value

def strip_optional(type_hint):
    return type_hint.__args__[0] if str(type_hint).startswith('typing.Optional[') else type_hint

def parse_time(time: str, target_unit: str = 's') -> int:
    return _parse_unit(time.lower(), target_unit, _time_units)

def parse_size(size: str, target_unit: str = 'mb') -> int:
    return _parse_unit(size.lower(), target_unit, _size_units)

_time_units = {'d': 24 * 3600, 'h': 3600, 'm': 60, 's': 1}
_size_units = {'gb': 1024 * 1024 * 1024, 'mb': 1024 * 1024, 'kb': 1024}

def _parse_unit(string, target_unit, all_units):
    for unit, factor in all_units.items():
        if string.endswith(unit):
            number = string[:-len(unit)]
            value = float(number) * factor
            return math.ceil(value / all_units[target_unit])
    raise ValueError(f'Unsupported unit in "{string}"')
