allow to send metrics to memory or redis
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This commit is contained in:
2026-04-04 14:21:54 +02:00
parent eb6a054bc9
commit c3da096320
7 changed files with 377 additions and 12 deletions
+12
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class MemoryMetricsStore:
def __init__(self, **kwargs):
self._snapshots:dict[str, dict] = {}
async def publish(self, worker_id:str, snapshot:dict) -> None:
self._snapshots[worker_id] = dict(snapshot)
async def load_all(self) -> list[dict]:
return [dict(value) for value in self._snapshots.values()]
async def close(self) -> None:
return None
+103
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from server.metrics import MetricsStoreBuilder
import time, os
class MetricsManager:
def __init__(self, backend:str="memory", redis_url:str="redis://localhost:6379/0", ttl_seconds:int=90, key_prefix:str="snake:metrics:worker", worker_id:str|None=None):
self.backend = (backend or "memory").strip().lower()
self.worker_id = worker_id or f"{os.getpid()}-{int(time.time() * 1000)}"
self.store = MetricsStoreBuilder.build(
backend=self.backend,
redis_url=redis_url,
ttl_seconds=ttl_seconds,
key_prefix=key_prefix,
)
async def snapshot(self, local_snapshot:dict) -> dict:
await self.store.publish(self.worker_id, local_snapshot)
if self.backend != "redis":
return local_snapshot
snapshots = await self.store.load_all()
if not snapshots:
return local_snapshot
return self._merge_snapshots(snapshots)
async def close(self) -> None:
await self.store.close()
def _merge_snapshots(self, snapshots:list[dict]) -> dict:
merged = {
"games_started": 0,
"games_ended": 0,
"wins": 0,
"losses": 0,
"total_moves": 0,
"total_turns": 0,
"max_turn": 0,
"active_games_peak": 0,
"games_autocreated": 0,
"http_requests_total": 0,
"move_response_time_ms_total": 0.0,
"move_response_time_ms_max": 0.0,
"last_game_start_unix": 0,
"last_game_end_unix": 0,
"last_move_unix": 0,
"games_stuck_removed": 0,
"game_state_local_cache_enabled": False,
"metrics_backend": "redis",
"active_games": 0,
"tracked_games": 0,
"oldest_active_game_age_sec": 0,
"stale_game_timeout_sec": 0,
"active_games_stale": 0,
"http_requests_by_endpoint": {"info": 0, "start": 0, "move": 0, "end": 0},
"move_direction_counts": {
"up": 0,
"down": 0,
"left": 0,
"right": 0,
"unknown": 0,
},
}
for worker in snapshots:
for metric_name in (
"games_started",
"games_ended",
"wins",
"losses",
"total_moves",
"total_turns",
"games_autocreated",
"http_requests_total",
"games_stuck_removed",
"active_games",
"tracked_games",
"active_games_stale",
):
merged[metric_name] += int(worker.get(metric_name, 0))
merged["move_response_time_ms_total"] += float(worker.get("move_response_time_ms_total", 0.0))
merged["max_turn"] = max(merged["max_turn"], int(worker.get("max_turn", 0)))
merged["active_games_peak"] = max(merged["active_games_peak"], int(worker.get("active_games_peak", 0)))
merged["move_response_time_ms_max"] = max(merged["move_response_time_ms_max"], float(worker.get("move_response_time_ms_max", 0.0)))
merged["last_game_start_unix"] = max(merged["last_game_start_unix"], int(worker.get("last_game_start_unix", 0)),)
merged["last_game_end_unix"] = max(merged["last_game_end_unix"], int(worker.get("last_game_end_unix", 0)))
merged["last_move_unix"] = max(merged["last_move_unix"], int(worker.get("last_move_unix", 0)))
merged["oldest_active_game_age_sec"] = max(merged["oldest_active_game_age_sec"], int(worker.get("oldest_active_game_age_sec", 0)),)
merged["stale_game_timeout_sec"] = max(merged["stale_game_timeout_sec"], int(worker.get("stale_game_timeout_sec", 0)),)
merged["game_state_local_cache_enabled"] = merged["game_state_local_cache_enabled"] or bool(worker.get("game_state_local_cache_enabled", False))
for endpoint in merged["http_requests_by_endpoint"]:
merged["http_requests_by_endpoint"][endpoint] += int(worker.get("http_requests_by_endpoint", {}).get(endpoint, 0))
for direction in merged["move_direction_counts"]:
merged["move_direction_counts"][direction] += int(worker.get("move_direction_counts", {}).get(direction, 0))
games_ended = merged["games_ended"]
total_moves = merged["total_moves"]
merged["avg_turns_per_game"] = round((merged["total_turns"] / games_ended) if games_ended else 0.0, 2)
merged["win_rate"] = round((merged["wins"] / games_ended) if games_ended else 0.0, 4)
merged["avg_move_response_ms"] = round((merged["move_response_time_ms_total"] / total_moves) if total_moves else 0.0, 2)
return merged
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import inspect
import json
class RedisMetricsStore:
def __init__(self, redis_url:str="redis://localhost:6379/0", key_prefix:str="snake:metrics:worker", ttl_seconds:int=None, **kwargs):
self.redis_url = redis_url
self.key_prefix = key_prefix
self.ttl_seconds = ttl_seconds
self._redis = None
async def _get_redis(self):
if self._redis is not None:
return self._redis
try:
import redis.asyncio as aioredis # type: ignore[import-not-found]
except ImportError as error: # pragma: no cover
raise RuntimeError("Metrics backend set to redis but 'redis' package is not installed") from error
self._redis = aioredis.from_url(self.redis_url)
return self._redis
def _key(self, worker_id:str) -> str:
return f"{self.key_prefix}:{worker_id}"
async def publish(self, worker_id:str, snapshot:dict) -> None:
redis = await self._get_redis()
await redis.set(self._key(worker_id), json.dumps(snapshot), ex=self.ttl_seconds)
async def load_all(self) -> list[dict]:
redis = await self._get_redis()
keys = await redis.keys(f"{self.key_prefix}:*")
snapshots = []
for key in keys:
payload = await redis.get(key)
if not payload:
continue
try:
snapshots.append(json.loads(payload))
except Exception:
continue
return snapshots
async def close(self) -> None:
if self._redis is None:
return
aclose_method = getattr(self._redis, "aclose", None)
if callable(aclose_method):
maybe_result = aclose_method()
if inspect.isawaitable(maybe_result):
await maybe_result
else:
close_method = getattr(self._redis, "close", None)
if callable(close_method):
close_result = close_method()
if inspect.isawaitable(close_result):
await close_result
self._redis = None
+10
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from server.metrics.MemoryMetricsStore import MemoryMetricsStore
from server.metrics.RedisMetricsStore import RedisMetricsStore
class MetricsStoreBuilder:
@classmethod
def build(self, backend:str="memory", **kwargs) -> MemoryMetricsStore|RedisMetricsStore:
selected = (backend or "memory").strip().lower()
if selected == "redis":
return RedisMetricsStore(**kwargs)
return MemoryMetricsStore(**kwargs)