Performance optimizations: O(1) lookups, single JSON load, parallel fetches

[Copilot]

Identified and fixed several performance bottlenecks across Python and JavaScript code.

bot_leaderboard.py

• Eliminate redundant file I/O: JSON file was read 26 times (once per type × 2 modes). Now loaded once in main() and passed to all get_bot_leaderboard() calls.
• Move invariants outside loops: datetime.now(), timedelta(days=7), and variant type check now computed once per function call instead of per-bot.
• Optimize get_available_bots(): Use set comprehension with single sort on write instead of list operations with repeated membership checks.

# Before: O(n) membership check on list, 26 JSON reads
if d['id'] not in available_bots:  # list
type in ['bullet', 'blitz', 'rapid', 'classical']  # per iteration

# After: O(1) set lookup, 1 JSON read passed to all calls
if bot_id not in available_bots:  # set
is_standard_variant = type in STANDARD_VARIANTS  # frozenset, computed once

app.py

• Change TYPES from list to frozenset for O(1) route validation

md2html.py

• Pre-compile regex patterns at module level
• Replace chained if/elif with dictionary lookup for filename mapping

js/bot-rank.js

• Parallel fetching: Replace sequential for loop with await to Promise.all() for 13 leaderboard files
• Hoist constants and helper functions outside doSearch() to avoid recreation per call

// Before: sequential fetches (~13 round trips in series)
for (var t = 0; t < TYPES.length; t++) {
    var res = await fetch('/bot_leaderboard/' + type + '.md');
}

// After: parallel fetches (~1 round trip time)
Promise.all(TYPES.map(type => fetchRankForType(type, usernameLower)))

Original prompt

Identify and suggest improvements to slow or inefficient code

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[TheYoBots]

Also please update this Pr to the latest revision please

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