Created
April 7, 2025 22:37
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Script to visualise SRComp static knockout schedules
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#!/usr/bin/env python3 | |
# See https://stackoverflow.com/a/10802842 | |
import subprocess | |
import textwrap | |
from pathlib import Path | |
import yaml | |
from sr.comp.knockout_scheduler.static_scheduler import StaticMatchInfo | |
COMPSTATE_DIR = Path(__file__).parent | |
def match_id(round_num: int, match_num: int) -> str: | |
return f'R{round_num}M{match_num}' | |
def match_as_dot(match_id: str, info: StaticMatchInfo) -> str: | |
produces_teams = ' '.join( | |
f'{match_id}P{x}' for x in range(len(info['teams'])) | |
) | |
title = info['display_name'] | |
return '\n'.join(( | |
f'subgraph cluster_match_{match_id} {{', | |
f' label = "{title}"', | |
f' {match_id}_node [shape=point style=invis]', | |
f' {produces_teams}', | |
'}', | |
)) | |
def teams_as_dot(match_id: str, info: StaticMatchInfo) -> str: | |
competing_teams = '; '.join( | |
'R{}M{}P{}'.format(*x) if x.isdecimal() and len(x) == 3 else x | |
for x in info['teams'] | |
if x is not None | |
) | |
return f'{{ {competing_teams} }} -> {match_id}_node [lhead=cluster_match_{match_id}]' | |
def round_as_dot(round_num: int, matches: dict[int, StaticMatchInfo]) -> str: | |
matches_body = textwrap.indent( | |
'\n' + '\n'.join( | |
match_as_dot(match_id(round_num, match_num), info) | |
for match_num, info in matches.items() | |
), | |
' ', | |
) | |
teams_body = textwrap.indent( | |
'\n'.join( | |
teams_as_dot(match_id(round_num, match_num), info) | |
for match_num, info in matches.items() | |
), | |
' ', | |
) | |
round_id = f'cluster_round_{round_num}' | |
return '\n'.join(( | |
f'subgraph {round_id} {{', | |
matches_body, | |
teams_body, | |
'}', | |
)) | |
def main(): | |
with (COMPSTATE_DIR / 'schedule.yaml').open() as f: | |
data = yaml.safe_load(f) | |
static_knockout = data['static_knockout'] | |
body = '\n'.join( | |
round_as_dot(round_num, info) | |
for round_num, info in static_knockout['matches'].items() | |
) | |
graph = f'digraph {{ compound=true; {body} }}' | |
with open('out.dot', mode='w') as f: | |
print(graph, file=f) | |
with open('out.pdf', mode='wb') as f: | |
subprocess.run( | |
['dot', '-Grankdir=LR', '-Tpdf'], | |
input=graph.encode(), | |
stdout=f, | |
check=True, | |
) | |
if __name__ == '__main__': | |
main() |
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