import os from aiohttp import web from prometheus_client import Counter, Info, generate_latest as prom_generate_latest, Histogram, Gauge from lbry import __version__ as version from lbry.build_info import BUILD, COMMIT_HASH, DOCKER_TAG from lbry.wallet.server import util import lbry.wallet.server.version as wallet_server_version NAMESPACE = "wallet_server" CPU_COUNT = f"{os.cpu_count()}" VERSION_INFO = Info('build', 'Wallet server build info (e.g. version, commit hash)', namespace=NAMESPACE) VERSION_INFO.info({ 'build': BUILD, "commit": COMMIT_HASH, "docker_tag": DOCKER_TAG, 'version': version, "min_version": util.version_string(wallet_server_version.PROTOCOL_MIN), "cpu_count": CPU_COUNT }) SESSIONS_COUNT = Gauge("session_count", "Number of connected client sessions", namespace=NAMESPACE, labelnames=("version", )) REQUESTS_COUNT = Counter("requests_count", "Number of requests received", namespace=NAMESPACE, labelnames=("method", "version")) RESPONSE_TIMES = Histogram("response_time", "Response times", namespace=NAMESPACE, labelnames=("method", "version")) NOTIFICATION_COUNT = Counter("notification", "Number of notifications sent (for subscriptions)", namespace=NAMESPACE, labelnames=("method", "version")) REQUEST_ERRORS_COUNT = Counter("request_error", "Number of requests that returned errors", namespace=NAMESPACE, labelnames=("method", "version")) SQLITE_INTERRUPT_COUNT = Counter("interrupt", "Number of interrupted queries", namespace=NAMESPACE) SQLITE_OPERATIONAL_ERROR_COUNT = Counter( "operational_error", "Number of queries that raised operational errors", namespace=NAMESPACE ) SQLITE_INTERNAL_ERROR_COUNT = Counter( "internal_error", "Number of queries raising unexpected errors", namespace=NAMESPACE ) SQLITE_EXECUTOR_TIMES = Histogram("executor_time", "SQLite executor times", namespace=NAMESPACE) SQLITE_PENDING_COUNT = Gauge( "pending_queries_count", "Number of pending and running sqlite queries", namespace=NAMESPACE ) LBRYCRD_REQUEST_TIMES = Histogram( "lbrycrd_request", "lbrycrd requests count", namespace=NAMESPACE, labelnames=("method",) ) LBRYCRD_PENDING_COUNT = Gauge( "lbrycrd_pending_count", "Number of lbrycrd rpcs that are in flight", namespace=NAMESPACE, labelnames=("method",) ) CLIENT_VERSIONS = Counter( "clients", "Number of connections received per client version", namespace=NAMESPACE, labelnames=("version",) ) BLOCK_COUNT = Gauge( "block_count", "Number of processed blocks", namespace=NAMESPACE ) BLOCK_UPDATE_TIMES = Histogram("block_time", "Block update times", namespace=NAMESPACE) REORG_COUNT = Gauge( "reorg_count", "Number of reorgs", namespace=NAMESPACE ) class PrometheusServer: def __init__(self): self.logger = util.class_logger(__name__, self.__class__.__name__) self.runner = None async def start(self, port: int): prom_app = web.Application() prom_app.router.add_get('/metrics', self.handle_metrics_get_request) self.runner = web.AppRunner(prom_app) await self.runner.setup() metrics_site = web.TCPSite(self.runner, "0.0.0.0", port, shutdown_timeout=.5) await metrics_site.start() self.logger.info('metrics server listening on %s:%i', *metrics_site._server.sockets[0].getsockname()[:2]) async def handle_metrics_get_request(self, request: web.Request): try: return web.Response( text=prom_generate_latest().decode(), content_type='text/plain; version=0.0.4' ) except Exception: self.logger.exception('could not generate prometheus data') raise async def stop(self): await self.runner.cleanup()