feat: add Zenith strategy and move latency tracing
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- Register Zenith 1.1 with balanced duel verdicts and forced-outcome overrides. - Prioritize permanent-trail space in Constrictor and health-aware hazard routes. - Deduct executor queue delays and return fallback directions on move timeouts. - Correlate response headers, replay timings, and sampled structured trace logs. - Move shared metrics publication off the response path without losing local counts. - Allow configurable tournament opponents and add a psql helper recipe. - Preserve empty latency values through compact replay encoding and migration. - Update Arena game links and use default assets for missing customizations. - Cover strategy, HTTP lifecycle, tracing, replay codecs, and dashboard behavior. - Validate with 260 passing Python tests, 4 skips, and 2 passing JavaScript tests.
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@@ -0,0 +1,49 @@
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"""Small request-local timings; no board payloads or external tracing dependency."""
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from contextlib import contextmanager
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import json
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import os
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from threading import Lock
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from time import perf_counter
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from uuid import uuid4
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class MoveTrace:
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def __init__(self, game_id, turn):
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self.id = uuid4().hex
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self.game_id = game_id
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self.turn = turn
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self.started = perf_counter()
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self._lock = Lock()
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self._fields = {}
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def set(self, **fields):
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with self._lock:
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self._fields.update(fields)
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@contextmanager
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def stage(self, name):
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started = perf_counter()
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try:
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yield
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finally:
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self.set(**{name + '_ms': round((perf_counter() - started) * 1000, 3)})
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def snapshot(self):
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with self._lock:
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return {'trace_id': self.id, **self._fields}
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def log(self, logger):
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fields = self.snapshot()
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# Every timeout/slow request, plus deterministic sampling of normal moves.
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try:
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sample = max(0, int(os.getenv('MOVE_TRACE_SAMPLE_EVERY', '100')))
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slow_ms = max(0, float(os.getenv('MOVE_TRACE_SLOW_MS', '300')))
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except ValueError:
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sample, slow_ms = 100, 300
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slow_stage = any(value >= slow_ms for key, value in fields.items()
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if key.endswith('_ms') and isinstance(value, (int, float)))
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if not (fields.get('timed_out') or fields.get('metrics_publish_failed') or slow_stage
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or (sample and int(self.id[:8], 16) % sample == 0)):
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return
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logger.info('move_trace %s', json.dumps({
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'game_id': self.game_id, 'turn': self.turn, **fields,
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}, separators=(',', ':')))
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