lotus/cmd/lotus-sim/info_message.go

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package main
import (
"fmt"
"syscall"
"github.com/filecoin-project/lotus/chain/stmgr"
"github.com/filecoin-project/lotus/chain/types"
"github.com/filecoin-project/lotus/cmd/lotus-sim/simulation"
"github.com/filecoin-project/lotus/lib/stati"
"github.com/ipfs/go-cid"
"github.com/streadway/quantile"
"github.com/urfave/cli/v2"
)
var infoMessageSizeSimCommand = &cli.Command{
Name: "message-size",
Description: "Output information about message size distribution",
Flags: []cli.Flag{
&cli.Int64Flag{
Name: "lookback",
Value: 0,
},
},
Action: func(cctx *cli.Context) error {
node, err := open(cctx)
if err != nil {
return err
}
defer node.Close()
go profileOnSignal(cctx, syscall.SIGUSR2)
sim, err := node.LoadSim(cctx.Context, cctx.String("simulation"))
if err != nil {
return err
}
qpoints := []struct{ q, tol float64 }{
{0.30, 0.01},
{0.40, 0.01},
{0.60, 0.01},
{0.70, 0.01},
{0.80, 0.01},
{0.85, 0.01},
{0.90, 0.01},
{0.95, 0.001},
{0.99, 0.0005},
{0.999, 0.0001},
}
estims := make([]quantile.Estimate, len(qpoints))
for i, p := range qpoints {
estims[i] = quantile.Known(p.q, p.tol)
}
qua := quantile.New(estims...)
hist, err := stati.NewHistogram([]float64{
1 << 8, 1 << 10, 1 << 11, 1 << 12, 1 << 13, 1 << 14, 1 << 15, 1 << 16,
})
if err != nil {
return err
}
err = sim.Walk(cctx.Context, cctx.Int64("lookback"), func(
sm *stmgr.StateManager, ts *types.TipSet, stCid cid.Cid,
messages []*simulation.AppliedMessage,
) error {
for _, m := range messages {
msgSize := float64(m.ChainLength())
qua.Add(msgSize)
hist.Observe(msgSize)
}
return nil
})
if err != nil {
return err
}
fmt.Println("Quantiles of message sizes:")
for _, p := range qpoints {
fmt.Printf("%.1f%%\t%.0f\n", p.q*100, qua.Get(p.q))
}
fmt.Println()
fmt.Println("Histogram of message sizes:")
fmt.Printf("Total\t%d\n", hist.Total())
for i, b := range hist.Buckets[1:] {
fmt.Printf("%.0f\t%d\t%.1f%%\n", b, hist.Get(i), 100*hist.GetRatio(i))
}
return nil
},
}