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