diff options
Diffstat (limited to 'pysite/utils')
| -rw-r--r-- | pysite/utils/time.py | 62 | ||||
| -rw-r--r-- | pysite/utils/words.py | 73 |
2 files changed, 0 insertions, 135 deletions
diff --git a/pysite/utils/time.py b/pysite/utils/time.py deleted file mode 100644 index 334408a4..00000000 --- a/pysite/utils/time.py +++ /dev/null @@ -1,62 +0,0 @@ -from datetime import datetime, timedelta - -from rethinkdb import make_timezone - - -UNITS = { - 's': lambda value: value, - 'm': lambda value: value * 60, - 'h': lambda value: value * 60 * 60, - 'd': lambda value: value * 60 * 60 * 24, - 'w': lambda value: value * 60 * 60 * 24 * 7 -} - - -def parse_duration(duration: str) -> datetime: - """ - Parses a string like '3w' into a datetime 3 weeks from now. - - Also supports strings like 1w2d or 1h25m. - - This function is adapted from a bot called ROWBOAT, written by b1naryth1ef. - See https://github.com/b1naryth1ef/rowboat/blob/master/rowboat/util/input.py - - :param duration: a string containing the number and a time unit shorthand. - :return: A datetime representing now + the duration - """ - - if not duration: - raise ValueError("No duration provided.") - - value = 0 - digits = '' - - for char in duration: - - # Add all numbers to the digits string - if char.isdigit(): - digits += char - continue - - # If it's not a number and not one of the letters in UNITS, it must be invalid. - if char not in UNITS or not digits: - raise ValueError("Invalid duration") - - # Otherwise, call the corresponding lambda to convert the value, and keep iterating. - value += UNITS[char](int(digits)) - digits = '' - - return datetime.now(make_timezone("00:00")) + timedelta(seconds=value + 1) - - -def is_expired(rdb_datetime: datetime) -> bool: - """ - Takes a rethinkdb datetime (timezone aware) and - figures out if it has expired yet. - - Always compares with UTC 00:00 - - :param rdb_timestamp: A datetime as stored in rethinkdb. - :return: True if the datetime is in the past. - """ - return datetime.now(make_timezone("00:00")) > rdb_datetime diff --git a/pysite/utils/words.py b/pysite/utils/words.py deleted file mode 100644 index 0959ec3e..00000000 --- a/pysite/utils/words.py +++ /dev/null @@ -1,73 +0,0 @@ -import random -from typing import Iterator, List, Tuple - -adjectives = ( - "abortive", "abounding", "abrasive", "absent", "acceptable", "adamant", "adhesive", "adjoining", "aggressive", - "alike", "alleged", "aloof", "ambitious", "amused", "aspiring", "available", "awake", "axiomatic", "barbarous", - "bashful", "beautiful", "befitting", "beneficial", "blushing", "boundless", "brawny", "certain", "childlike", - "cluttered", "courageous", "crooked", "damp", "deadpan", "debonair", "decorous", "defiant", "delirious", - "detailed", "disturbed", "divergent", "drab", "dramatic", "drunk", "electric", "enormous", "erect", "evanescent", - "excellent", "exultant", "faded", "famous", "far-flung", "fascinated", "faulty", "festive", "fine", "fixed", - "flaky", "flat", "fluttering", "foregoing", "frail", "fresh", "frightened", "funny", "furtive", "gainful", "glib", - "godly", "half", "hallowed", "handsome", "hard", "heavenly", "hesitant", "high", "honorable", "hot", "hungry", - "hurt", "hushed", "hypnotic", "ill-fated", "illegal", "important", "incompetent", "inconclusive", "infamous", - "innocent", "insidious", "instinctive", "jazzy", "jumbled", "kind", "knowing", "late", "laughable", "lean", - "loving", "madly", "majestic", "married", "materialistic", "measly", "mighty", "misty", "murky", "mushy", - "mysterious", "needy", "next", "nice", "nondescript", "nutritious", "omniscient", "ossified", "overconfident", - "panoramic", "parallel", "parched", "pastoral", "plant", "possible", "pricey", "prickly", "private", "productive", - "pumped", "purple", "purring", "quixotic", "rabid", "rare", "real", "receptive", "resolute", "right", "rightful", - "ritzy", "rough", "ruddy", "rude", "salty", "sassy", "satisfying", "scandalous", "sedate", "selective", "separate", - "shrill", "sincere", "slow", "small", "smooth", "sordid", "sour", "spicy", "spiky", "spiteful", "spooky" "spotty", - "steady", "subdued", "successful", "supreme", "sweltering", "synonymous", "talented", "tasty", "teeny", "telling", - "temporary", "tender", "tense", "tenuous", "thinkable", "thoughtless", "tiny", "tough", "trashy", "two", - "uncovered", "uninterested", "unruly", "unsuitable", "used", "useful", "vagabond", "verdant", "vivacious", - "voiceless", "waggish", "wasteful", "wealthy", "whole", "wise", "woebegone", "workable", "wrong", "young", -) - -nouns = ( - "actions", "activities", "additions", "advertisements", "afterthoughts", "airplanes", "amounts", "angles", "ants", - "baskets", "baths", "battles", "bees", "beginners", "behaviors", "beliefs", "bells", "berries", "bikes", - "birthdays", "bits", "boats", "boys", "breaths", "bubbles", "bulbs", "bursts", "butter", "cables", "camps", "cans", - "captions", "cars", "carpenters", "cats", "cemeteries", "changes", "channels", "chickens", "classes", "clubs", - "committees", "covers", "cracks", "crates", "crayons", "crowds", "decisions", "degrees", "details", "directions", - "dresses", "drops", "dusts", "errors", "examples", "expansions", "falls", "fangs", "feelings", "firemen", - "flowers", "fog", "feet", "fowls", "frogs", "glasses", "gloves", "grandmothers", "grounds", "guns", "haircuts", - "halls", "harmonies", "hats", "hopes", "horns", "horses", "ideas", "inks", "insects", "interests", "inventions", - "irons", "islands", "jails", "jeans", "jellyfish", "laborers", "lakes", "letters", "lockets", "matches", "measures", - "mice", "milk", "motions", "moves", "nerves", "numbers", "pans", "pancakes", "persons", "pets", "pickles", "pies", - "pizzas", "plantations", "plastics", "ploughs", "pockets", "potatoes", "powders", "properties", "reactions", - "regrets", "riddles", "rivers", "rocks", "sails", "scales", "scarecrows", "scarves", "scenes", "schools", - "sciences", "shakes", "shapes", "shirts", "silvers", "sinks", "snakes", "sneezes", "sofas", "songs", "sounds", - "spades", "sparks", "stages", "stamps", "stars", "stations", "stews", "stomachs", "suggestions", "suits", "swings", - "tables", "tents", "territories", "tests", "textures", "things", "thoughts", "threads", "tigers", "toads", "toes", - "tomatoes", "trains", "treatments", "troubles", "tubs", "turkeys", "umbrellas", "uncles", "vacations", "veils", - "voices", "volcanoes", "volleyballs", "walls", "wars", "waters", "waves", "wilderness", "women", "words", "works", - "worms", "wounds", "writings", "yams", "yards", "yarns", "zebras" -) - - -def get_adjectives(num: int = 1) -> List[str]: - """ - Get a list of random, unique adjectives - """ - - return random.sample(adjectives, num) - - -def get_nouns(num: int = 1) -> List[str]: - """ - Get a list of random, unique nouns - """ - - return random.sample(nouns, num) - - -def get_word_pairs(num: int = 1) -> Iterator[Tuple[str, str]]: - """ - Get an iterator over random, unique (adjective, noun) pairs - """ - - return zip( - get_adjectives(num), - get_nouns(num) - ) |