179 lines
4.9 KiB
Python
179 lines
4.9 KiB
Python
import hashlib
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import os
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import re
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import tempfile
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from contextlib import contextmanager
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from datetime import datetime, timedelta
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from typing import Any, Dict, Generator, List, Optional, Tuple, TypeVar, Union
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from szurubooru import errors
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T = TypeVar("T")
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def snake_case_to_lower_camel_case(text: str) -> str:
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components = text.split("_")
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return components[0].lower() + "".join(
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word[0].upper() + word[1:].lower() for word in components[1:]
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)
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def snake_case_to_upper_train_case(text: str) -> str:
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return "-".join(
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word[0].upper() + word[1:].lower() for word in text.split("_")
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)
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def snake_case_to_lower_camel_case_keys(
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source: Dict[str, Any]
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) -> Dict[str, Any]:
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target = {}
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for key, value in source.items():
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target[snake_case_to_lower_camel_case(key)] = value
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return target
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@contextmanager
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def create_temp_file(**kwargs: Any) -> Generator:
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(descriptor, path) = tempfile.mkstemp(**kwargs)
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os.close(descriptor)
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try:
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with open(path, "r+b") as handle:
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yield handle
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finally:
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os.remove(path)
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@contextmanager
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def create_temp_file_path(**kwargs: Any) -> Generator:
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(descriptor, path) = tempfile.mkstemp(**kwargs)
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os.close(descriptor)
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try:
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yield path
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finally:
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os.remove(path)
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def unalias_dict(source: List[Tuple[List[str], T]]) -> Dict[str, T]:
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output_dict = {} # type: Dict[str, T]
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for aliases, value in source:
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for alias in aliases:
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output_dict[alias] = value
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return output_dict
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def get_md5(source: Union[str, bytes]) -> str:
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if not isinstance(source, bytes):
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source = source.encode("utf-8")
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md5 = hashlib.md5()
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md5.update(source)
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return md5.hexdigest()
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def get_sha1(source: Union[str, bytes]) -> str:
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if not isinstance(source, bytes):
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source = source.encode("utf-8")
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sha1 = hashlib.sha1()
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sha1.update(source)
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return sha1.hexdigest()
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def flip(source: Dict[Any, Any]) -> Dict[Any, Any]:
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return {v: k for k, v in source.items()}
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def is_valid_email(email: Optional[str]) -> bool:
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"""Return whether given email address is valid or empty."""
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return not email or re.match(r"^[^@]*@[^@]*\.[^@]*$", email) is not None
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class dotdict(dict):
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"""dot.notation access to dictionary attributes."""
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def __getattr__(self, attr: str) -> Any:
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return self.get(attr)
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__setattr__ = dict.__setitem__
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__delattr__ = dict.__delitem__
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def parse_time_range(value: str) -> Tuple[datetime, datetime]:
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"""Return tuple containing min/max time for given text representation."""
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one_day = timedelta(days=1)
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one_second = timedelta(seconds=1)
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almost_one_day = one_day - one_second
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value = value.lower()
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if not value:
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raise errors.ValidationError("Empty date format.")
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if value == "today":
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now = datetime.utcnow()
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return (
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datetime(now.year, now.month, now.day, 0, 0, 0),
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datetime(now.year, now.month, now.day, 0, 0, 0) + almost_one_day,
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)
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if value == "yesterday":
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now = datetime.utcnow()
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return (
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datetime(now.year, now.month, now.day, 0, 0, 0) - one_day,
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datetime(now.year, now.month, now.day, 0, 0, 0) - one_second,
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)
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match = re.match(r"^(\d{4})$", value)
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if match:
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year = int(match.group(1))
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return (datetime(year, 1, 1), datetime(year + 1, 1, 1) - one_second)
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match = re.match(r"^(\d{4})-(\d{1,2})$", value)
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if match:
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year = int(match.group(1))
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month = int(match.group(2))
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return (
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datetime(year, month, 1),
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datetime(year, month + 1, 1) - one_second,
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)
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match = re.match(r"^(\d{4})-(\d{1,2})-(\d{1,2})$", value)
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if match:
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year = int(match.group(1))
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month = int(match.group(2))
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day = int(match.group(3))
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return (
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datetime(year, month, day),
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datetime(year, month, day + 1) - one_second,
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)
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raise errors.ValidationError("Invalid date format: %r." % value)
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def icase_unique(source: List[str]) -> List[str]:
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target = [] # type: List[str]
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target_low = [] # type: List[str]
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for source_item in source:
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if source_item.lower() not in target_low:
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target.append(source_item)
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target_low.append(source_item.lower())
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return target
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def value_exceeds_column_size(value: Optional[str], column: Any) -> bool:
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if not value:
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return False
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max_length = column.property.columns[0].type.length
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if max_length is None:
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return False
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return len(value) > max_length
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def get_column_size(column: Any) -> Optional[int]:
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if not column:
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return None
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return column.property.columns[0].type.length
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def chunks(source_list: List[Any], part_size: int) -> Generator:
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for i in range(0, len(source_list), part_size):
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yield source_list[i : i + part_size]
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