freckle-stats-0.0.0.0: library/Freckle/App/Stats/Rts.hs
-- | Send RTS statistics via "Freckle.App.Stats"
module Freckle.App.Stats.Rts
( forkRtsStatPolling
) where
import Freckle.App.Prelude
import Control.Immortal qualified as Immortal
import Data.HashMap.Strict qualified as HashMap
import Freckle.App.Stats (HasStatsClient)
import Freckle.App.Stats qualified as Stats
import System.Metrics qualified as Ekg
import System.Metrics.Distribution.Internal qualified as Ekg
import UnliftIO.Concurrent (threadDelay)
-- | Initialize a thread to poll RTS stats
--
-- Stats are collected via `ekg-core` and 'System.Metrics.registerGcMetrics'
forkRtsStatPolling
:: (MonadUnliftIO m, MonadReader env m, HasStatsClient env) => m ()
forkRtsStatPolling = do
store <- liftIO Ekg.newStore
liftIO $ Ekg.registerGcMetrics store
void $ Immortal.create $ \_ -> do
sample <- liftIO $ Ekg.sampleAll store
traverse_ (uncurry flushEkgSample) $ HashMap.toList sample
let seconds n = n * 1000000
threadDelay $ seconds 1
flushEkgSample
:: (MonadUnliftIO m, MonadReader env m, HasStatsClient env)
=> Text
-> Ekg.Value
-> m ()
flushEkgSample name = \case
Ekg.Counter n -> Stats.counter name $ fromIntegral n
Ekg.Gauge n -> Stats.gauge name $ fromIntegral n
Ekg.Distribution d -> do
Stats.gauge (name <> "." <> "mean") $ Ekg.mean d
Stats.gauge (name <> "." <> "variance") $ Ekg.variance d
Stats.gauge (name <> "." <> "sum") $ Ekg.sum d
Stats.gauge (name <> "." <> "min") $ Ekg.min d
Stats.gauge (name <> "." <> "max") $ Ekg.max d
Stats.counter (name <> "." <> "count") $ fromIntegral $ Ekg.count d
Ekg.Label _ -> pure ()