121 lines
4.6 KiB
Python
121 lines
4.6 KiB
Python
import aiohttp
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import io
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from . import config
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def get_all_commands(bot):
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"""Returns a list of all command names for the bot"""
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# First lets create a set of all the parent names
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parent_command_names = set(cmd.qualified_name for cmd in bot.commands.values())
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all_commands = []
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# Now lets loop through and get all the child commands for each command
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# Only the command itself will be yielded if there are no children
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for cmd_name in parent_command_names:
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cmd = bot.commands.get(cmd_name)
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for child_cmd in _get_all_commands(cmd):
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all_commands.append(child_cmd)
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return all_commands
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def _get_all_commands(command):
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yield command.qualified_name
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try:
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non_aliases = set(cmd.name for cmd in command.commands.values())
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for cmd_name in non_aliases:
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yield from _get_all_commands(command.commands[cmd_name])
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except AttributeError:
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pass
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def find_command(bot, command):
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"""Finds a command (be it parent or sub command) based on string given"""
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# This method ensures the command given is valid. We need to loop through commands
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# As bot.commands only includes parent commands
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# So we are splitting the command in parts, looping through the commands
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# And getting the subcommand based on the next part
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# If we try to access commands of a command that isn't a group
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# We'll hit an AttributeError, meaning an invalid command was given
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# If we loop through and don't find anything, cmd will still be None
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# And we'll report an invalid was given as well
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cmd = None
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for part in command.split():
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try:
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if cmd is None:
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cmd = bot.commands.get(part)
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else:
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cmd = cmd.commands.get(part)
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except AttributeError:
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cmd = None
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break
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return cmd
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async def download_image(url):
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"""Returns a file-like object based on the URL provided"""
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headers = {'User-Agent': config.user_agent}
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# Simply download the image
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with aiohttp.ClientSession(headers=headers) as session:
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async with session.get(url) as r:
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# Then wrap it in a BytesIO object, to be used like an actual file
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image = io.BytesIO(await r.read())
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return image
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async def update_records(key, winner, loser):
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# We're using the Harkness scale to rate
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# http://opnetchessclub.wikidot.com/harkness-rating-system
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r_filter = lambda row: (row['member_id'] == winner.id) | (row['member_id'] == loser.id)
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matches = await config.get_content(key, r_filter)
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winner_stats = {}
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loser_stats = {}
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try:
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for stat in matches:
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if stat.get('member_id') == winner.id:
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winner_stats = stat
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elif stat.get('member_id') == loser.id:
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loser_stats = stat
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except TypeError:
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pass
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winner_rating = winner_stats.get('rating') or 1000
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loser_rating = loser_stats.get('rating') or 1000
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# The scale is based off of increments of 25, increasing the change by 1 for each increment
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# That is all this loop does, increment the "change" for every increment of 25
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# The change caps off at 300 however, so break once we are over that limit
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difference = abs(winner_rating - loser_rating)
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rating_change = 0
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count = 25
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while count <= difference:
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if count > 300:
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break
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rating_change += 1
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count += 25
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# 16 is the base change, increased or decreased based on whoever has the higher current rating
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if winner_rating > loser_rating:
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winner_rating += 16 - rating_change
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loser_rating -= 16 - rating_change
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else:
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winner_rating += 16 + rating_change
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loser_rating -= 16 + rating_change
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# Just increase wins/losses for each person, making sure it's at least 0
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winner_wins = winner_stats.get('wins', 0)
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winner_losses = winner_stats.get('losses', 0)
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loser_wins = loser_stats.get('wins', 0)
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loser_losses = loser_stats.get('losses', 0)
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winner_wins += 1
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loser_losses += 1
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# Now save the new wins, losses, and ratings
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winner_stats = {'wins': winner_wins, 'losses': winner_losses, 'rating': winner_rating}
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loser_stats = {'wins': loser_wins, 'losses': loser_losses, 'rating': loser_rating}
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if not await config.update_content(key, winner_stats, {'member_id': winner.id}):
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winner_stats['member_id'] = winner.id
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await config.add_content(key, winner_stats, {'member_id': winner.id})
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if not await config.update_content(key, loser_stats, {'member_id': loser.id}):
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loser_stats['member_id'] = loser.id
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await config.add_content(key, loser_stats, {'member_id': loser.id})
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