From 28da830049908f366beb7e3b68ab8330bb26a7cb Mon Sep 17 00:00:00 2001 From: Sam Calder-Mason Date: Fri, 10 Jan 2025 18:40:54 +1000 Subject: [PATCH] add beacon --- config.yaml | 45 +- .../block_timings/holesky/last_30_days.json | 1 + .../block_timings/holesky/last_90_days.json | 1 + .../block_timings/mainnet/last_30_days.json | 1 + .../block_timings/mainnet/last_90_days.json | 1 + .../block_timings/sepolia/last_30_days.json | 1 + .../block_timings/sepolia/last_90_days.json | 1 + .../size_cdf/holesky/last_30_days.json | 1 + .../size_cdf/holesky/last_90_days.json | 1 + .../size_cdf/mainnet/last_30_days.json | 1 + .../size_cdf/mainnet/last_90_days.json | 1 + .../size_cdf/sepolia/last_30_days.json | 1 + .../size_cdf/sepolia/last_90_days.json | 1 + frontend/.eslintrc.json | 12 +- frontend/public/ethereum.png | Bin 0 -> 272815 bytes frontend/src/App.tsx | 5 + .../src/components/layout/Breadcrumbs.tsx | 7 + frontend/src/components/layout/Layout.tsx | 35 +- frontend/src/components/layout/Navigation.tsx | 7 + frontend/src/index.css | 40 + frontend/src/pages/Home.tsx | 18 + .../beacon-chain-timings/blocks/index.tsx | 659 ++++++++ .../src/pages/beacon-chain-timings/index.tsx | 48 + frontend/src/types.ts | 12 + notebooks/beacon-chain-timings.ipynb | 416 +++++ notebooks/lib/config.py | 35 +- notebooks/mev-relays.disabled-ipynb | 1503 +++++++++++++++++ 27 files changed, 2796 insertions(+), 58 deletions(-) create mode 100644 data/beacon-chain-timings/block_timings/holesky/last_30_days.json create mode 100644 data/beacon-chain-timings/block_timings/holesky/last_90_days.json create mode 100644 data/beacon-chain-timings/block_timings/mainnet/last_30_days.json create mode 100644 data/beacon-chain-timings/block_timings/mainnet/last_90_days.json create mode 100644 data/beacon-chain-timings/block_timings/sepolia/last_30_days.json create mode 100644 data/beacon-chain-timings/block_timings/sepolia/last_90_days.json create mode 100644 data/beacon-chain-timings/size_cdf/holesky/last_30_days.json create mode 100644 data/beacon-chain-timings/size_cdf/holesky/last_90_days.json create mode 100644 data/beacon-chain-timings/size_cdf/mainnet/last_30_days.json create mode 100644 data/beacon-chain-timings/size_cdf/mainnet/last_90_days.json create mode 100644 data/beacon-chain-timings/size_cdf/sepolia/last_30_days.json create mode 100644 data/beacon-chain-timings/size_cdf/sepolia/last_90_days.json create mode 100644 frontend/public/ethereum.png create mode 100644 frontend/src/pages/beacon-chain-timings/blocks/index.tsx create mode 100644 frontend/src/pages/beacon-chain-timings/index.tsx create mode 100644 notebooks/beacon-chain-timings.ipynb create mode 100644 notebooks/mev-relays.disabled-ipynb diff --git a/config.yaml b/config.yaml index 2e63ea8d..a3407a85 100644 --- a/config.yaml +++ b/config.yaml @@ -4,7 +4,7 @@ data: notebooks: xatu-public-contributors: enabled: true - schedule_hours: 3 + schedule_hours: 1 description: "Analyzes public Xatu contributor data and client versions" networks: - mainnet @@ -27,15 +27,34 @@ notebooks: step: "5m" label: "Last 6h" range: "-6h" - # - file: "next_week" - # step: "1d" - # label: "+7d" - # range: "+7d" - # - file: "2024_q1" - # step: "1d" - # label: "Q1 2024" - # range: "2024-01-01/2024-03-31" - # - file: "last_2_weeks" - # step: "6h" - # label: "2w" - # range: "-2w" \ No newline at end of file + # mev-relays: + # enabled: false + # schedule_hours: 1 + # description: "Analyzes MEV relays" + # networks: + # - mainnet + beacon-chain-timings: + enabled: true + schedule_hours: 1 + description: "Analyzes beacon chain timings" + networks: + - mainnet + - sepolia + - holesky + time_windows: + - file: "last_30_days" + step: "6h" + label: "Last 30d" + range: "-30d" + - file: "last_90_days" + step: "1d" + label: "Last 90d" + range: "-90d" + # - file: "last_1_day" + # step: "5m" + # label: "Last 1d" + # range: "-1d" + # - file: "last_year" + # step: "1d" + # label: "Last 1y" + # range: "-365d" \ No newline at end of file diff --git a/data/beacon-chain-timings/block_timings/holesky/last_30_days.json b/data/beacon-chain-timings/block_timings/holesky/last_30_days.json new file mode 100644 index 00000000..5dfb4d24 --- /dev/null +++ b/data/beacon-chain-timings/block_timings/holesky/last_30_days.json @@ -0,0 +1 @@ +{"updated_at": 1736496265, "timestamps": [1733860800, 1733882400, 1733904000, 1733925600, 1733947200, 1733968800, 1733990400, 1734012000, 1734033600, 1734055200, 1734076800, 1734098400, 1734120000, 1734141600, 1734163200, 1734184800, 1734206400, 1734228000, 1734249600, 1734271200, 1734292800, 1734314400, 1734336000, 1734357600, 1734379200, 1734400800, 1734422400, 1734444000, 1734465600, 1734487200, 1734508800, 1734530400, 1734552000, 1734573600, 1734595200, 1734616800, 1734638400, 1734660000, 1734681600, 1734703200, 1734724800, 1734746400, 1734768000, 1734789600, 1734811200, 1734832800, 1734854400, 1734876000, 1734897600, 1734919200, 1734940800, 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ContributorDetail from './pages/xatu/ContributorDetail'; import Layout from './components/layout/Layout'; +import { BeaconChainTimings } from './pages/beacon-chain-timings'; +import { BlockTimings } from './pages/beacon-chain-timings/blocks'; function App(): JSX.Element { return ( @@ -20,6 +22,9 @@ function App(): JSX.Element { } /> } /> + }> + } /> + } /> diff --git a/frontend/src/components/layout/Breadcrumbs.tsx b/frontend/src/components/layout/Breadcrumbs.tsx index fd8ad10e..cf1b4f72 100644 --- a/frontend/src/components/layout/Breadcrumbs.tsx +++ b/frontend/src/components/layout/Breadcrumbs.tsx @@ -23,6 +23,13 @@ export const breadcrumbs = [ } ], }, + { + name: 'Beacon Chain', + path: '/beacon-chain-timings', + children: [ + { name: 'Blocks', path: '/beacon-chain-timings/blocks' }, + ], + }, ]; function findActivePath(pathname: string, items: NavItem[]): NavItem[] { diff --git a/frontend/src/components/layout/Layout.tsx b/frontend/src/components/layout/Layout.tsx index 69f87053..84d32dfd 100644 --- a/frontend/src/components/layout/Layout.tsx +++ b/frontend/src/components/layout/Layout.tsx @@ -4,32 +4,7 @@ import { Breadcrumbs } from './Breadcrumbs' function Layout(): JSX.Element { return ( -

- {/* Animated Background */} -
-
- {/* Main gradient */} -
- - {/* Noise texture */} -
- - {/* Grid */} -
-
-
-
- - {/* Glow effects */} -
-
-
-
- - {/* Neon Lines */} -
-
- +
{/* Content */}
@@ -41,16 +16,10 @@ function Layout(): JSX.Element { {/* Content Area */}
- {/* Subtle top highlight */} -
- {/* Main content */} -
+
- - {/* Subtle bottom highlight */} -
diff --git a/frontend/src/components/layout/Navigation.tsx b/frontend/src/components/layout/Navigation.tsx index b6dfdaff..b5596b7b 100644 --- a/frontend/src/components/layout/Navigation.tsx +++ b/frontend/src/components/layout/Navigation.tsx @@ -18,6 +18,13 @@ export const navigation = [ { name: 'Contributors', path: '/xatu/contributors' }, ], }, + { + name: 'Beacon Chain', + path: '/beacon-chain-timings', + children: [ + { name: 'Block Timings', path: '/beacon-chain-timings/blocks' }, + ], + }, ] export function Navigation(): JSX.Element { diff --git a/frontend/src/index.css b/frontend/src/index.css index aae20442..8e350521 100644 --- a/frontend/src/index.css +++ b/frontend/src/index.css @@ -26,4 +26,44 @@ font-display: swap; src: url('/fonts/Inter-Bold.woff2') format('woff2'); } + + body { + background: linear-gradient(135deg, #080810 0%, #0f0f23 40%, #151530 100%); + background-attachment: fixed; + min-height: 100vh; + position: relative; + } + + body::before { + content: ''; + position: fixed; + top: 0; + left: 0; + right: 0; + bottom: 0; + background: + linear-gradient(rgba(15, 15, 35, 0.3) 1px, transparent 1px), + linear-gradient(90deg, rgba(15, 15, 35, 0.3) 1px, transparent 1px), + radial-gradient(circle at 20% 30%, rgba(45, 212, 191, 0.05) 0%, transparent 50%), + radial-gradient(circle at 80% 70%, rgba(124, 58, 237, 0.05) 0%, transparent 50%); + background-size: 30px 30px, 30px 30px, 100% 100%, 100% 100%; + mask-image: radial-gradient(ellipse at center, rgba(0, 0, 0, 0.7) 0%, rgba(0, 0, 0, 0.2) 100%); + pointer-events: none; + z-index: -1; + opacity: 0.3; + } + + /* Add a subtle noise texture */ + body::after { + content: ''; + position: fixed; + top: 0; + left: 0; + right: 0; + bottom: 0; + background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 200 200' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='noise'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.65' numOctaves='3' stitchTiles='stitch'/%3E%3C/filter%3E%3Crect width='100%' height='100%' filter='url(%23noise)'/%3E%3C/svg%3E"); + opacity: 0.015; + pointer-events: none; + z-index: -1; + } } diff --git a/frontend/src/pages/Home.tsx b/frontend/src/pages/Home.tsx index ad2210ae..1722431d 100644 --- a/frontend/src/pages/Home.tsx +++ b/frontend/src/pages/Home.tsx @@ -45,6 +45,24 @@ const experimentGroups: ExperimentGroup[] = [ }, ], }, + { + id: 'beacon-chain', + title: 'Beacon Chain', + subtitle: 'Analyze Ethereum beacon chain metrics and performance', + logo: '/ethereum.png', + overview: { + title: 'Overview', + description: 'Explore beacon chain metrics and performance data', + href: '/beacon-chain-timings', + }, + links: [ + { + title: 'Blocks', + description: 'Analyze block arrival times and network performance', + href: '/beacon-chain-timings/blocks', + }, + ], + }, ]; function Home(): JSX.Element { diff --git a/frontend/src/pages/beacon-chain-timings/blocks/index.tsx b/frontend/src/pages/beacon-chain-timings/blocks/index.tsx new file mode 100644 index 00000000..79311998 --- /dev/null +++ b/frontend/src/pages/beacon-chain-timings/blocks/index.tsx @@ -0,0 +1,659 @@ +import { useDataFetch } from '../../../utils/data' +import { LoadingState } from '../../../components/common/LoadingState' +import { ErrorState } from '../../../components/common/ErrorState' +import { NetworkSelector } from '../../../components/common/NetworkSelector' +import { useState, useEffect, useMemo } from 'react' +import { LineChart, Line, XAxis, YAxis, Tooltip, ResponsiveContainer, Legend, ReferenceLine, ScatterChart, Scatter, ZAxis } from 'recharts' +import { getConfig } from '../../../utils/config' +import type { Config } from '../../../types' +import { useSearchParams } from 'react-router-dom' +import { formatDistanceToNow } from 'date-fns' + +interface TimingData { + timestamps: number[] + mins: number[] + maxs: number[] + p05s: number[] + p50s: number[] + p95s: number[] + blocks: number[] + updated_at: number +} + +interface CDFData { + sizes_kb: number[] + arrival_times_ms: { + all: number[] + mev: number[] + non_mev: number[] + solo_mev: number[] + solo_non_mev: number[] + } + updated_at: number +} + +interface TimeWindowConfig { + file: string + step: string + label: string + range: string +} + +const DEFAULT_TIME_WINDOWS: TimeWindowConfig[] = [ + { file: 'last_30_days', step: '1d', label: '30d', range: '-30d' }, + { file: 'last_1_day', step: '15m', label: '1d', range: '-1d' } +] + +const TIMESTAMP_MULTIPLIER = 1000 +const DECIMAL_PLACES = 3 + +export const BlockTimings: React.FC = () => { + const [searchParams, setSearchParams] = useSearchParams() + const [config, setConfig] = useState() + const [configLoading, setConfigLoading] = useState(true) + const [configError, setConfigError] = useState() + const [isTimeWindowOpen, setIsTimeWindowOpen] = useState(false) + const [hiddenLines, setHiddenLines] = useState>(new Set()) + + const timeWindows = useMemo(() => { + const notebookConfig = config?.notebooks?.['beacon-chain-timings'] + return notebookConfig?.time_windows || DEFAULT_TIME_WINDOWS + }, [config]) + + const defaultTimeWindow = useMemo(() => timeWindows[0]?.file || 'last_30_days', [timeWindows]) + const defaultNetwork = useMemo(() => { + const notebookConfig = config?.notebooks?.['beacon-chain-timings'] + return notebookConfig?.networks?.[0] || 'mainnet' + }, [config]) + + const [timeWindow, setTimeWindow] = useState(() => + searchParams.get('timeWindow') || defaultTimeWindow + ) + const [network, setNetwork] = useState(() => + searchParams.get('network') || defaultNetwork + ) + + useEffect(() => { + setConfigLoading(true) + getConfig() + .then(setConfig) + .catch(setConfigError) + .finally(() => setConfigLoading(false)) + }, []) + + // Update URL when network/timeWindow changes + useEffect(() => { + const params = new URLSearchParams(searchParams) + params.set('network', network) + params.set('timeWindow', timeWindow) + setSearchParams(params) + }, [network, timeWindow, setSearchParams, searchParams]) + + const { data: timingData, loading, error } = useDataFetch( + `beacon-chain-timings/block_timings/${network}/${timeWindow}.json` + ) + + const { data: cdfData, loading: cdfLoading, error: cdfError } = useDataFetch( + `beacon-chain-timings/size_cdf/${network}/${timeWindow}.json` + ) + + const currentWindow = useMemo(() => + timeWindows.find((w: TimeWindowConfig) => w.file === timeWindow), + [timeWindows, timeWindow] + ) + + const formatTime = useMemo(() => (time: number) => { + const date = new Date(time * TIMESTAMP_MULTIPLIER) + return currentWindow?.step === '15m' + ? date.toLocaleTimeString() + : date.toLocaleDateString() + }, [currentWindow]) + + const chartData = useMemo(() => { + if (!timingData?.timestamps) return [] + + return timingData.timestamps.map((time, index) => ({ + time: time, + min: timingData.mins[index] / 1000, // Convert to seconds + p05: timingData.p05s[index] / 1000, + p50: timingData.p50s[index] / 1000, + p95: timingData.p95s[index] / 1000, + blocks: timingData.blocks[index] + })) + }, [timingData]) + + const xAxisTicks = useMemo(() => { + if (!timingData?.timestamps.length) return [] + const timestamps = timingData.timestamps + const count = 6 // Show 6 ticks + const step = Math.floor(timestamps.length / (count - 1)) + return Array.from({ length: count }, (_, i) => + i === count - 1 ? timestamps[timestamps.length - 1] : timestamps[i * step] + ) + }, [timingData]) + + const scatterData = useMemo(() => { + if (!cdfData?.arrival_times_ms || !cdfData?.sizes_kb) return [] + + // Create separate datasets for each type + const allData = cdfData.arrival_times_ms.all.map((time, index) => ({ + arrival_time: time / 1000, + size: cdfData.sizes_kb[index], + type: 'all' + })).filter(d => d.size <= 1536) + + const mevData = cdfData.arrival_times_ms.mev.map((time, index) => ({ + arrival_time: time / 1000, + size: cdfData.sizes_kb[index], + type: 'mev' + })).filter(d => d.size <= 1536) + + const nonMevData = cdfData.arrival_times_ms.non_mev.map((time, index) => ({ + arrival_time: time / 1000, + size: cdfData.sizes_kb[index], + type: 'non_mev' + })).filter(d => d.size <= 1536) + + const soloMevData = cdfData.arrival_times_ms.solo_mev.map((time, index) => ({ + arrival_time: time / 1000, + size: cdfData.sizes_kb[index], + type: 'solo_mev' + })).filter(d => d.size <= 1536) + + const soloNonMevData = cdfData.arrival_times_ms.solo_non_mev.map((time, index) => ({ + arrival_time: time / 1000, + size: cdfData.sizes_kb[index], + type: 'solo_non_mev' + })).filter(d => d.size <= 1536) + + return [...allData, ...mevData, ...nonMevData, ...soloMevData, ...soloNonMevData].sort((a, b) => a.size - b.size) + }, [cdfData]) + + if (configLoading || loading) { + return + } + + if (configError) { + return + } + + if (error) { + return + } + + if (!timingData) { + return + } + + return ( +
+
+

About This Data

+

+ This data shows timing data for blocks on the beacon chain. The data is updated hourly and aggregated in {timeWindows.map((w, i) => ( + + {w.step} intervals for the {w.label} view{i < timeWindows.length - 1 ? ', and ' : ''} + + ))}. +

+
+ +
+ +
+ + + {isTimeWindowOpen && ( +
+ {timeWindows.map((window) => ( + + ))} +
+ )} +
+
+ +
+ {/* Block Arrival Timing Chart */} +
+
+
+

Block Arrival Time

+
+ Last updated: {timingData?.updated_at ? formatDistanceToNow(new Date(timingData.updated_at * TIMESTAMP_MULTIPLIER), { addSuffix: true }) : 'No data available'} +
+
+
+ + + + + new Date(time * TIMESTAMP_MULTIPLIER).toLocaleString()} + formatter={(value: number) => [`${value.toFixed(DECIMAL_PLACES)}s`, '']} + /> + ( +
+ {/* Attestation Deadline */} +
+
+ Attestation Deadline (4s) +
+ {/* Regular legend items */} + {payload?.map((entry) => ( + + ))} +
+ )} + /> + {/* Attestation Deadline Reference Line */} + + {!hiddenLines.has('95th Percentile') && ( + + )} + {!hiddenLines.has('Median') && ( + + )} + {!hiddenLines.has('5th Percentile') && ( + + )} + {!hiddenLines.has('Minimum') && ( + + )} + + +
+
+
+ + {/* Block Size vs Arrival Time */} +
+
+
+

Block Size vs Arrival Time

+
+ Last updated: {cdfData?.updated_at ? formatDistanceToNow(new Date(cdfData.updated_at * TIMESTAMP_MULTIPLIER), { addSuffix: true }) : 'No data available'} +
+
+
+ + + ( +
+ {/* Attestation Deadline */} +
+
+ Attestation Deadline (4s) +
+ {/* Block Types */} +
+ + + + + +
+
+ )} + /> + value.toFixed(0)} + /> + + [ + key === 'arrival_time' ? `${value.toFixed(DECIMAL_PLACES)}s` : `${value.toFixed(1)} KB (Block+Blob)`, + key === 'arrival_time' ? 'Arrival Time' : 'Combined Size' + ]} + /> + {/* Attestation Deadline Reference Line */} + + {!hiddenLines.has('all') && ( + d.type === 'all')} + dataKey="arrival_time" + name="All Blocks" + stroke="#22d3ee" + strokeWidth={2} + dot={false} + /> + )} + {!hiddenLines.has('mev') && ( + d.type === 'mev')} + dataKey="arrival_time" + name="MEV Blocks" + stroke="#ef4444" + strokeWidth={2} + dot={false} + /> + )} + {!hiddenLines.has('non_mev') && ( + d.type === 'non_mev')} + dataKey="arrival_time" + name="Non-MEV Blocks" + stroke="#22c55e" + strokeWidth={2} + dot={false} + /> + )} + {!hiddenLines.has('solo_mev') && ( + d.type === 'solo_mev')} + dataKey="arrival_time" + name="Solo MEV Blocks" + stroke="#f472b6" + strokeWidth={2} + dot={false} + /> + )} + {!hiddenLines.has('solo_non_mev') && ( + d.type === 'solo_non_mev')} + dataKey="arrival_time" + name="Solo Non-MEV Blocks" + stroke="#fbbf24" + strokeWidth={2} + dot={false} + /> + )} + + +
+
+

Notes

+
    +
  • All Blocks: Shows the average arrival time for all blocks, regardless of their source.
    • +
  • MEV Blocks: Blocks that were built by MEV-Boost relays, which may have different arrival characteristics due to their specialized construction.
    • +
  • Non-MEV Blocks: Regular blocks built by validators without using MEV-Boost relays.
    • +
  • Solo MEV: Blocks built by solo stakers using MEV-Boost relays.
    • +
  • Solo Non-MEV: Blocks built by solo stakers without using MEV-Boost relays.
    • +
+
+
+
+
+
+ ) +} \ No newline at end of file diff --git a/frontend/src/pages/beacon-chain-timings/index.tsx b/frontend/src/pages/beacon-chain-timings/index.tsx new file mode 100644 index 00000000..57a095df --- /dev/null +++ b/frontend/src/pages/beacon-chain-timings/index.tsx @@ -0,0 +1,48 @@ +import { Link, Outlet, useLocation } from 'react-router-dom' +import { ArrowRight } from 'lucide-react' + +export function BeaconChainTimings(): JSX.Element { + const location = useLocation() + + // If we're on a nested route, render the child route + if (location.pathname !== '/beacon-chain-timings') { + return ( +
+
+ +
+
+ ) + } + + return ( +
+ {/* Overview Section */} +
+
+

Beacon Chain Timings

+

+ This section provides insights into Ethereum beacon chain block timing metrics, including arrival times and block sizes. +

+
+ + {/* Navigation Cards */} +
+ +
+
⚡
+
+

Block Arrival Times

+

Analyze block arrival times and their distribution across the network

+
+
+ + +
+
+
+ ) +} \ No newline at end of file diff --git a/frontend/src/types.ts b/frontend/src/types.ts index 71d90db3..3c25aaef 100644 --- a/frontend/src/types.ts +++ b/frontend/src/types.ts @@ -12,6 +12,18 @@ export interface Config { range: string }[] } + 'beacon-chain-timings': { + enabled: boolean + schedule_hours: number + description: string + networks: string[] + time_windows: { + file: string + step: string + label: string + range: string + }[] + } } data: { type: string diff --git a/notebooks/beacon-chain-timings.ipynb b/notebooks/beacon-chain-timings.ipynb new file mode 100644 index 00000000..44c0d484 --- /dev/null +++ b/notebooks/beacon-chain-timings.ipynb @@ -0,0 +1,416 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-01-10 16:31:53,437 - beacon-chain-timings - INFO - Good to go!\n" + ] + } + ], + "source": [ + "import os\n", + "from datetime import datetime, timedelta\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "from lib import Lab\n", + "\n", + "# Initialize lab\n", + "lab = Lab('beacon-chain-timings', '../config.yaml')\n", + "lab.setup()\n", + "lab.setup_pandaops_clickhouse()\n", + "log = lab.log\n", + "\n", + "# Get notebook specific config\n", + "notebook_config = lab.get_notebook_config()\n", + "\n", + "writer = lab.get_data_writer()\n", + "\n", + "pandaops_clickhouse_client = lab.get_pandaops_clickhouse_client()\n", + "\n", + "## Clear the data directory\n", + "lab.delete_directory('')\n", + "\n", + "log.info(\"Good to go!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "BeaconChainTimings(time_windows=[TimeWindow(file='last_30_days', step='6h', label='Last 30d', range='-30d'), TimeWindow(file='last_90_days', step='1d', label='Last 90d', range='-90d')], networks=['mainnet', 'sepolia', 'holesky'], data_dir='../data/beacon-chain-timings')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "beacon_chain_timings_config = lab.get_notebook_config().as_beacon_chain_timings()\n", + "beacon_chain_timings_config\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-01-10 16:56:54,199 - beacon-chain-timings - INFO - Fetching data for last_30_days\n", + "2025-01-10 16:56:55,844 - beacon-chain-timings - INFO - Found 363 entries for time window last_30_days\n", + "2025-01-10 16:56:55,848 - beacon-chain-timings - INFO - Fetching data for last_90_days\n", + "2025-01-10 16:56:56,731 - beacon-chain-timings - INFO - Found 273 entries for time window last_90_days\n" + ] + } + ], + "source": [ + "from sqlalchemy import text\n", + "from datetime import datetime, timezone\n", + "query = text(\"\"\"\n", + " WITH time_slots AS (\n", + " SELECT \n", + " toStartOfInterval(slot_start_date_time, INTERVAL :step_seconds second) as time_slot,\n", + " meta_network_name,\n", + " min(propagation_slot_start_diff) as min_arrival,\n", + " max(propagation_slot_start_diff) as max_arrival,\n", + " avg(propagation_slot_start_diff) as avg_arrival,\n", + " quantile(0.05)(propagation_slot_start_diff) as p05_arrival,\n", + " quantile(0.50)(propagation_slot_start_diff) as p50_arrival,\n", + " quantile(0.95)(propagation_slot_start_diff) as p95_arrival,\n", + " count(*) as total_blocks\n", + " FROM beacon_api_eth_v1_events_block FINAL\n", + " WHERE\n", + " slot_start_date_time BETWEEN toDateTime(:start_date) AND toDateTime(:end_date)\n", + " AND meta_network_name IN (:networks)\n", + " AND propagation_slot_start_diff < 6000\n", + " GROUP BY time_slot, meta_network_name\n", + " )\n", + " SELECT\n", + " time_slot as time,\n", + " meta_network_name,\n", + " min_arrival,\n", + " max_arrival,\n", + " avg_arrival,\n", + " p05_arrival,\n", + " p50_arrival,\n", + " p95_arrival,\n", + " total_blocks\n", + " FROM time_slots\n", + " ORDER BY time_slot ASC\n", + "\"\"\")\n", + "\n", + "for window in beacon_chain_timings_config.time_windows:\n", + " start_date, end_date = window.get_time_range(datetime.now(timezone.utc))\n", + " step_seconds = window.get_step_seconds()\n", + " \n", + " start_str = start_date.strftime('%Y-%m-%d %H:%M:%S')\n", + " end_str = end_date.strftime('%Y-%m-%d %H:%M:%S')\n", + "\n", + " log.info(f\"Fetching data for {window.file}\")\n", + " \n", + " result = pandaops_clickhouse_client.execute(\n", + " query,\n", + " {\n", + " \"start_date\": start_str,\n", + " \"end_date\": end_str,\n", + " \"networks\": beacon_chain_timings_config.networks,\n", + " \"step_seconds\": step_seconds\n", + " }\n", + " )\n", + " timings = result.fetchall()\n", + "\n", + " if len(timings) == 0:\n", + " log.warning(f\"No data found for time window {window.file}\")\n", + " continue\n", + "\n", + " log.info(f\"Found {len(timings)} entries for time window {window.file}\")\n", + " \n", + " # Process each network separately\n", + " for network in beacon_chain_timings_config.networks:\n", + " network_timings = [t for t in timings if t[1] == network]\n", + " if not network_timings:\n", + " continue\n", + " \n", + " # Structure data as arrays to save space\n", + " times = []\n", + " mins = []\n", + " maxs = []\n", + " avgs = []\n", + " p05s = []\n", + " p50s = []\n", + " p95s = []\n", + " blocks = []\n", + " \n", + " for t in network_timings:\n", + " times.append(int(t[0].timestamp()))\n", + " mins.append(round(t[2], 3))\n", + " maxs.append(round(t[3], 3))\n", + " avgs.append(round(t[4], 3))\n", + " p05s.append(round(t[5], 3))\n", + " p50s.append(round(t[6], 3))\n", + " p95s.append(round(t[7], 3))\n", + " blocks.append(t[8])\n", + " \n", + " # Write compact array format\n", + " formatted_data = {\n", + " \"timestamps\": times,\n", + " \"mins\": mins,\n", + " \"maxs\": maxs,\n", + " \"avgs\": avgs,\n", + " \"p05s\": p05s,\n", + " \"p50s\": p50s,\n", + " \"p95s\": p95s,\n", + " \"blocks\": blocks\n", + " }\n", + " \n", + " # Write to file per time window and network\n", + " lab.write_json(f\"block_timings/{network}/{window.file}.json\", formatted_data)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-01-10 17:38:04,941 - beacon-chain-timings - INFO - Fetching block and blob data for last_30_days (2024-12-11 07:38:04 to 2025-01-10 07:38:04)\n", + "2025-01-10 17:38:04,942 - beacon-chain-timings - INFO - Querying blob data...\n", + "2025-01-10 17:38:09,475 - beacon-chain-timings - INFO - Found blob data for 503400 slots\n", + "2025-01-10 17:38:09,476 - beacon-chain-timings - INFO - Querying MEV relay data...\n", + "2025-01-10 17:38:11,216 - beacon-chain-timings - INFO - Found 264044 MEV relay slots\n", + "2025-01-10 17:38:11,216 - beacon-chain-timings - INFO - Querying block arrival data...\n", + "2025-01-10 17:38:11,217 - beacon-chain-timings - INFO - Querying block size data...\n", + "2025-01-10 17:38:17,907 - beacon-chain-timings - INFO - Found arrival data for 621757 blocks\n", + "2025-01-10 17:38:22,072 - beacon-chain-timings - INFO - Found size data for 619833 blocks\n", + "2025-01-10 17:38:22,073 - beacon-chain-timings - INFO - Getting proposer entities...\n", + "2025-01-10 17:38:31,121 - beacon-chain-timings - INFO - Merged data contains 619833 blocks\n", + "2025-01-10 17:38:31,121 - beacon-chain-timings - INFO - Processing network mainnet...\n" + ] + }, + { + "ename": "KeyError", + "evalue": "'solo_stakers'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn [19], line 143\u001b[0m\n\u001b[1;32m 141\u001b[0m network_df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mis_mev\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m network_df\u001b[38;5;241m.\u001b[39mslot\u001b[38;5;241m.\u001b[39misin(mev_slots)\n\u001b[1;32m 142\u001b[0m network_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mmerge(network_df, proposer_entities, on\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mproposer_index\u001b[39m\u001b[38;5;124m'\u001b[39m, how\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mleft\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 143\u001b[0m network_df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mis_solo\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m network_df\u001b[38;5;241m.\u001b[39mentity[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msolo_stakers\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 145\u001b[0m \u001b[38;5;66;03m# Bucket sizes into 32KB chunks and get average arrival time per bucket\u001b[39;00m\n\u001b[1;32m 146\u001b[0m network_df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msize_bucket\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m (network_df\u001b[38;5;241m.\u001b[39mtotal_size \u001b[38;5;241m/\u001b[39m (\u001b[38;5;241m32\u001b[39m \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m1024\u001b[39m))\u001b[38;5;241m.\u001b[39mround() \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m32\u001b[39m\n", + "File \u001b[0;32m~/.pyenv/versions/anaconda3-2022.05/envs/ldm/lib/python3.10/site-packages/pandas/core/series.py:1121\u001b[0m, in \u001b[0;36mSeries.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_values[key]\n\u001b[1;32m 1120\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m key_is_scalar:\n\u001b[0;32m-> 1121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_value\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1123\u001b[0m \u001b[38;5;66;03m# Convert generator to list before going through hashable part\u001b[39;00m\n\u001b[1;32m 1124\u001b[0m \u001b[38;5;66;03m# (We will iterate through the generator there to check for slices)\u001b[39;00m\n\u001b[1;32m 1125\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_iterator(key):\n", + "File \u001b[0;32m~/.pyenv/versions/anaconda3-2022.05/envs/ldm/lib/python3.10/site-packages/pandas/core/series.py:1237\u001b[0m, in \u001b[0;36mSeries._get_value\u001b[0;34m(self, label, takeable)\u001b[0m\n\u001b[1;32m 1234\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_values[label]\n\u001b[1;32m 1236\u001b[0m \u001b[38;5;66;03m# Similar to Index.get_value, but we do not fall back to positional\u001b[39;00m\n\u001b[0;32m-> 1237\u001b[0m loc \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabel\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1239\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(loc):\n\u001b[1;32m 1240\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_values[loc]\n", + "File \u001b[0;32m~/.pyenv/versions/anaconda3-2022.05/envs/ldm/lib/python3.10/site-packages/pandas/core/indexes/range.py:417\u001b[0m, in \u001b[0;36mRangeIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 415\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 416\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, Hashable):\n\u001b[0;32m--> 417\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key)\n\u001b[1;32m 418\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n\u001b[1;32m 419\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key)\n", + "\u001b[0;31mKeyError\u001b[0m: 'solo_stakers'" + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "# Fetch block sizes, blob data and build CDF for each time window\n", + "for window in beacon_chain_timings_config.time_windows:\n", + " start_date, end_date = window.get_time_range(datetime.now(timezone.utc))\n", + " start_str = start_date.strftime('%Y-%m-%d %H:%M:%S')\n", + " end_str = end_date.strftime('%Y-%m-%d %H:%M:%S')\n", + "\n", + " log.info(f\"Fetching block and blob data for {window.file} ({start_str} to {end_str})\")\n", + "\n", + " # Get blob data\n", + " log.info(\"Querying blob data...\")\n", + " blob_query = text(\"\"\"\n", + " SELECT\n", + " slot,\n", + " COUNT(*) * 131072 as total_blob_bytes -- 128KB per blob\n", + " FROM canonical_beacon_blob_sidecar FINAL\n", + " WHERE\n", + " slot_start_date_time BETWEEN toDateTime(:start_date) AND toDateTime(:end_date)\n", + " AND meta_network_name IN (:networks)\n", + " GROUP BY slot\n", + " \"\"\")\n", + "\n", + " blob_result = pandaops_clickhouse_client.execute(\n", + " blob_query,\n", + " {\n", + " \"start_date\": start_str,\n", + " \"end_date\": end_str,\n", + " \"networks\": beacon_chain_timings_config.networks\n", + " }\n", + " )\n", + " blob_data = {r[0]: r[1] for r in blob_result.fetchall()}\n", + " log.info(f\"Found blob data for {len(blob_data)} slots\")\n", + "\n", + " # Get MEV relay data\n", + " log.info(\"Querying MEV relay data...\")\n", + " mev_query = text(\"\"\"\n", + " SELECT DISTINCT\n", + " slot\n", + " FROM mev_relay_proposer_payload_delivered FINAL\n", + " WHERE\n", + " slot_start_date_time BETWEEN toDateTime(:start_date) AND toDateTime(:end_date)\n", + " AND meta_network_name IN (:networks)\n", + " \"\"\")\n", + " \n", + " mev_result = pandaops_clickhouse_client.execute(\n", + " mev_query,\n", + " {\n", + " \"start_date\": start_str,\n", + " \"end_date\": end_str,\n", + " \"networks\": beacon_chain_timings_config.networks\n", + " }\n", + " )\n", + " mev_slots = set(r[0] for r in mev_result.fetchall())\n", + " log.info(f\"Found {len(mev_slots)} MEV relay slots\")\n", + "\n", + " # Get block arrival data\n", + " log.info(\"Querying block arrival data...\")\n", + " block_arrival_query = text(\"\"\"\n", + " SELECT \n", + " slot,\n", + " meta_network_name,\n", + " min(propagation_slot_start_diff) as arrival_time\n", + " FROM beacon_api_eth_v1_events_block FINAL\n", + " WHERE\n", + " slot_start_date_time BETWEEN toDateTime(:start_date) AND toDateTime(:end_date)\n", + " AND meta_network_name IN (:networks)\n", + " GROUP BY slot, meta_network_name\n", + " \"\"\")\n", + "\n", + " # Get block size data\n", + " log.info(\"Querying block size data...\")\n", + " block_size_query = text(\"\"\"\n", + " SELECT \n", + " slot,\n", + " meta_network_name,\n", + " proposer_index,\n", + " block_total_bytes_compressed\n", + " FROM canonical_beacon_block FINAL\n", + " WHERE\n", + " slot_start_date_time BETWEEN toDateTime(:start_date) AND toDateTime(:end_date)\n", + " AND meta_network_name IN (:networks)\n", + " \"\"\")\n", + "\n", + " params = {\n", + " \"start_date\": start_str,\n", + " \"end_date\": end_str,\n", + " \"networks\": beacon_chain_timings_config.networks\n", + " }\n", + "\n", + " # Execute queries and convert to dataframes\n", + " arrival_df = pd.DataFrame(\n", + " pandaops_clickhouse_client.execute(block_arrival_query, params).fetchall(),\n", + " columns=['slot', 'meta_network_name', 'arrival_time']\n", + " )\n", + " log.info(f\"Found arrival data for {len(arrival_df)} blocks\")\n", + " \n", + " size_df = pd.DataFrame(\n", + " pandaops_clickhouse_client.execute(block_size_query, params).fetchall(),\n", + " columns=['slot', 'meta_network_name', 'proposer_index', 'block_size']\n", + " )\n", + " log.info(f\"Found size data for {len(size_df)} blocks\")\n", + "\n", + " # Get proposer entities\n", + " log.info(\"Getting proposer entities...\")\n", + " proposer_query = text(\"\"\"\n", + " SELECT \n", + " `index` as proposer_index,\n", + " entity\n", + " FROM ethseer_validator_entity\n", + " WHERE \n", + " meta_network_name IN (:networks)\n", + " \"\"\")\n", + " proposer_entities = pd.DataFrame(\n", + " pandaops_clickhouse_client.execute(proposer_query, params).fetchall(),\n", + " columns=['proposer_index', 'entity']\n", + " )\n", + "\n", + " # Merge dataframes and only keep slots that exist in size_df (canonical blocks)\n", + " block_data = pd.merge(\n", + " arrival_df, \n", + " size_df,\n", + " on=['slot', 'meta_network_name'],\n", + " how='right'\n", + " ).dropna()\n", + " log.info(f\"Merged data contains {len(block_data)} blocks\")\n", + "\n", + " # Process each network\n", + " for network in beacon_chain_timings_config.networks:\n", + " log.info(f\"Processing network {network}...\")\n", + " network_df = block_data[block_data.meta_network_name == network].copy()\n", + " if network_df.empty:\n", + " log.warning(f\"No data found for network {network}\")\n", + " continue\n", + " \n", + " # Add blob sizes, MEV flag and entity info\n", + " network_df['total_size'] = network_df.apply(\n", + " lambda row: max(row.block_size + blob_data.get(row.slot, 0), 1), # Ensure minimum size of 1 byte\n", + " axis=1\n", + " )\n", + " network_df['is_mev'] = network_df.slot.isin(mev_slots)\n", + " network_df = pd.merge(network_df, proposer_entities, on='proposer_index', how='left')\n", + " network_df['is_solo'] = network_df.entity == 'solo_stakers'\n", + "\n", + " # Bucket sizes into 32KB chunks and get average arrival time per bucket\n", + " network_df['size_bucket'] = (network_df.total_size / (32 * 1024)).round() * 32\n", + " network_df['size_bucket'] = network_df['size_bucket'].apply(lambda x: max(x, 32)) # Minimum bucket of 32KB\n", + " \n", + " # Calculate averages for all blocks, MEV blocks, non-MEV blocks, and solo staker blocks\n", + " avg_all = network_df.groupby('size_bucket')['arrival_time'].mean().round().reset_index()\n", + " avg_mev = network_df[network_df.is_mev].groupby('size_bucket')['arrival_time'].mean().round().reset_index()\n", + " avg_non_mev = network_df[~network_df.is_mev].groupby('size_bucket')['arrival_time'].mean().round().reset_index()\n", + " avg_solo_mev = network_df[network_df.is_solo & network_df.is_mev].groupby('size_bucket')['arrival_time'].mean().round().reset_index()\n", + " avg_solo_non_mev = network_df[network_df.is_solo & ~network_df.is_mev].groupby('size_bucket')['arrival_time'].mean().round().reset_index()\n", + "\n", + " # Write data\n", + " formatted_data = {\n", + " \"sizes_kb\": avg_all.size_bucket.tolist(),\n", + " \"arrival_times_ms\": {\n", + " \"all\": avg_all.arrival_time.tolist(),\n", + " \"mev\": avg_mev.arrival_time.tolist() if not avg_mev.empty else [],\n", + " \"non_mev\": avg_non_mev.arrival_time.tolist() if not avg_non_mev.empty else [],\n", + " \"solo_mev\": avg_solo_mev.arrival_time.tolist() if not avg_solo_mev.empty else [],\n", + " \"solo_non_mev\": avg_solo_non_mev.arrival_time.tolist() if not avg_solo_non_mev.empty else []\n", + " }\n", + " }\n", + "\n", + " output_path = f\"size_cdf/{network}/{window.file}.json\"\n", + " log.info(f\"Writing data to {output_path}\")\n", + " lab.write_json(output_path, formatted_data)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/lib/config.py b/notebooks/lib/config.py index 928f5505..841dd0ea 100644 --- a/notebooks/lib/config.py +++ b/notebooks/lib/config.py @@ -89,7 +89,26 @@ def from_dict(cls, data: Dict[str, Any], data_config: DataConfig) -> "XatuPublic data_dir=str(Path(data_config.path) / "xatu-public-contributors"), networks=data.get("networks", []) ) - +@dataclass +class MevRelays: + networks: List[str] + @classmethod + def from_dict(cls, data: Dict[str, Any]) -> "MevRelays": + return cls( + networks=data.get("networks", []) + ) +@dataclass +class BeaconChainTimings: + time_windows: List[TimeWindow] + networks: List[str] + data_dir: str + @classmethod + def from_dict(cls, data: Dict[str, Any], data_config: DataConfig) -> "BeaconChainTimings": + return cls( + time_windows=[TimeWindow(**w) for w in data.get("time_windows", [])], + networks=data.get("networks", []), + data_dir=str(Path(data_config.path) / "beacon-chain-timings") + ) @dataclass class NotebookConfig: enabled: bool @@ -106,6 +125,20 @@ def as_xatu_public_contributors(self) -> Optional[XatuPublicContributors]: except Exception as e: print(f"Failed to parse XatuPublicContributors config: {e}") return None + def as_mev_relays(self) -> Optional[MevRelays]: + """Convert config to MevRelays if valid""" + try: + return MevRelays.from_dict(self.config) + except Exception as e: + print(f"Failed to parse MevRelays config: {e}") + return None + def as_beacon_chain_timings(self) -> Optional[BeaconChainTimings]: + """Convert config to BeaconChainTimings if valid""" + try: + return BeaconChainTimings.from_dict(self.config, self.data_config) + except Exception as e: + print(f"Failed to parse BeaconChainTimings config: {e}") + return None @dataclass class Config: diff --git a/notebooks/mev-relays.disabled-ipynb b/notebooks/mev-relays.disabled-ipynb new file mode 100644 index 00000000..c6851e9a --- /dev/null +++ b/notebooks/mev-relays.disabled-ipynb @@ -0,0 +1,1503 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-01-10 15:00:18,874 - mev-relays - INFO - Good to go!\n" + ] + }, + { + "ename": "", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n", + "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n", + "\u001b[1;31mClick here for more info. \n", + "\u001b[1;31mView Jupyter log for further details." + ] + } + ], + "source": [ + "import os\n", + "from datetime import datetime, timedelta\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "from lib import Lab\n", + "\n", + "# Initialize lab\n", + "lab = Lab('mev-relays', '../config.yaml')\n", + "lab.setup()\n", + "lab.setup_pandaops_clickhouse()\n", + "log = lab.log\n", + "\n", + "# Get notebook specific config\n", + "notebook_config = lab.get_notebook_config()\n", + "\n", + "writer = lab.get_data_writer()\n", + "\n", + "pandaops_clickhouse_client = lab.get_pandaops_clickhouse_client()\n", + "\n", + "log.info(\"Good to go!\")\n", + "\n", + "# EARLY EXIT. We Don't use this notebook yet.\n", + "return\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "MevRelays(time_windows=[TimeWindow(file='last_30_days', step='1d', label='Last 30d', range='-30d'), TimeWindow(file='last_1_day', step='1h', label='Last 1d', range='-1d'), TimeWindow(file='last_6h', step='5m', label='Last 6h', range='-6h')], networks=['mainnet'])" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mev_relays_config = lab.get_notebook_config().as_mev_relays()\n", + "mev_relays_config" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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validator_indexentity
088035whale_0x3230
1985037whale_0x9f1d
2985038whale_0x9f1d
3985039whale_0x9f1d
4985040whale_0x9f1d
.........
1535620983558rocketpool
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1535622983573solo_stakers
1535623983671solo_stakers
1535624983746stakefish
\n", + "

1535625 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " validator_index entity\n", + "0 88035 whale_0x3230\n", + "1 985037 whale_0x9f1d\n", + "2 985038 whale_0x9f1d\n", + "3 985039 whale_0x9f1d\n", + "4 985040 whale_0x9f1d\n", + "... ... ...\n", + "1535620 983558 rocketpool\n", + "1535621 983572 solo_stakers\n", + "1535622 983573 solo_stakers\n", + "1535623 983671 solo_stakers\n", + "1535624 983746 stakefish\n", + "\n", + "[1535625 rows x 2 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "validator_query = text(\"\"\"\n", + " SELECT \n", + " `index` as validator_index,\n", + " entity\n", + " FROM ethseer_validator_entity\n", + " WHERE \n", + " meta_network_name = :network\n", + "\"\"\")\n", + "validator_entities = pd.DataFrame(\n", + " pandaops_clickhouse_client.execute(validator_query, {\"network\": mev_relays_config.networks[0]}).fetchall(),\n", + " columns=['validator_index', 'entity']\n", + ")\n", + "validator_entities" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-01-10 14:09:45,607 - mev-relays - INFO - Fetching relay registrations for last 2.5 weeks\n" + ] + }, + { + "data": { + "text/html": [ + "
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validator_indexslotgas_limittimestamprelay_nameentity
04944810300000001606824023Aestussolo_stakers
14944810300000001606824023Agnostic Gnosissolo_stakers
24944810300000001606824023Titan Relaysolo_stakers
34944810300000001606824023Ultra Soundsolo_stakers
45565450300000001606824023Aestussolo_stakers
.....................
1192997078143310804781360000001736481404Titan Relaycoinbase
1192997178162810804781360000001736481404BloXroute Max Profitcoinbase
1192997278162810804781360000001736481404Titan Relaycoinbase
1192997378260210804781360000001736481404BloXroute Max Profitcoinbase
1192997478260210804781360000001736481404Titan Relaycoinbase
\n", + "

11929975 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " validator_index slot gas_limit timestamp \\\n", + "0 494481 0 30000000 1606824023 \n", + "1 494481 0 30000000 1606824023 \n", + "2 494481 0 30000000 1606824023 \n", + "3 494481 0 30000000 1606824023 \n", + "4 556545 0 30000000 1606824023 \n", + "... ... ... ... ... \n", + "11929970 781433 10804781 36000000 1736481404 \n", + "11929971 781628 10804781 36000000 1736481404 \n", + "11929972 781628 10804781 36000000 1736481404 \n", + "11929973 782602 10804781 36000000 1736481404 \n", + "11929974 782602 10804781 36000000 1736481404 \n", + "\n", + " relay_name entity \n", + "0 Aestus solo_stakers \n", + "1 Agnostic Gnosis solo_stakers \n", + "2 Titan Relay solo_stakers \n", + "3 Ultra Sound solo_stakers \n", + "4 Aestus solo_stakers \n", + "... ... ... \n", + "11929970 Titan Relay coinbase \n", + "11929971 BloXroute Max Profit coinbase \n", + "11929972 Titan Relay coinbase \n", + "11929973 BloXroute Max Profit coinbase \n", + "11929974 Titan Relay coinbase \n", + "\n", + "[11929975 rows x 6 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sqlalchemy import text\n", + "from datetime import datetime, timezone\n", + "\n", + "query = text(\"\"\"\n", + " SELECT\n", + " validator_index,\n", + " slot,\n", + " gas_limit,\n", + " timestamp,\n", + " relay_name\n", + " FROM\n", + " mev_relay_validator_registration\n", + " WHERE\n", + " event_date_time >= :start_date\n", + " AND event_date_time < :end_date\n", + " AND meta_network_name = :network\n", + " GROUP BY\n", + " validator_index,\n", + " slot,\n", + " gas_limit,\n", + " timestamp,\n", + " relay_name\n", + " ORDER BY\n", + " slot,\n", + " validator_index,\n", + " relay_name\n", + "\"\"\")\n", + "\n", + "# Get last 2.5 weeks window\n", + "end_date = datetime.now(timezone.utc)\n", + "start_date = end_date - timedelta(days=16)\n", + "\n", + "# Format dates without microseconds for Clickhouse\n", + "start_str = start_date.strftime('%Y-%m-%d %H:%M:%S')\n", + "end_str = end_date.strftime('%Y-%m-%d %H:%M:%S')\n", + "\n", + "log.info(\"Fetching relay registrations for last 16 days\")\n", + "\n", + "registrations = pd.read_sql(\n", + " query, \n", + " pandaops_clickhouse_client, \n", + " params={\n", + " \"start_date\": start_str,\n", + " \"end_date\": end_str,\n", + " \"network\": mev_relays_config.networks[0]\n", + " }\n", + ")\n", + "\n", + "# Add proposer entity to registrations\n", + "registrations = registrations.merge(validator_entities, on='validator_index', how='left')\n", + "registrations\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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indexstatus
02active_ongoing
13active_ongoing
24active_ongoing
38active_ongoing
411active_ongoing
.........
1759949893333active_ongoing
1759950893335active_ongoing
1759951893343active_ongoing
1759952893344active_ongoing
1759953893352active_ongoing
\n", + "

1759954 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " index status\n", + "0 2 active_ongoing\n", + "1 3 active_ongoing\n", + "2 4 active_ongoing\n", + "3 8 active_ongoing\n", + "4 11 active_ongoing\n", + "... ... ...\n", + "1759949 893333 active_ongoing\n", + "1759950 893335 active_ongoing\n", + "1759951 893343 active_ongoing\n", + "1759952 893344 active_ongoing\n", + "1759953 893352 active_ongoing\n", + "\n", + "[1759954 rows x 2 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Get latest epoch's validators\n", + "query = text(\"\"\"\n", + " SELECT \n", + " index,\n", + " status\n", + " FROM canonical_beacon_validators\n", + " WHERE \n", + " epoch = (\n", + " SELECT MAX(epoch) \n", + " FROM canonical_beacon_validators \n", + " WHERE meta_network_name = :network\n", + " AND epoch_start_date_time >= NOW() - INTERVAL 14 DAY\n", + " )\n", + " AND meta_network_name = :network\n", + " AND epoch_start_date_time >= NOW() - INTERVAL 14 DAY\n", + "\"\"\")\n", + "\n", + "validators = pd.read_sql(\n", + " query,\n", + " pandaops_clickhouse_client,\n", + " params={\"network\": mev_relays_config.networks[0]}\n", + ")\n", + "validators\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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indexstatus
02active_ongoing
13active_ongoing
24active_ongoing
38active_ongoing
411active_ongoing
.........
1759949893333active_ongoing
1759950893335active_ongoing
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1759952893344active_ongoing
1759953893352active_ongoing
\n", + "

1070507 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " index status\n", + "0 2 active_ongoing\n", + "1 3 active_ongoing\n", + "2 4 active_ongoing\n", + "3 8 active_ongoing\n", + "4 11 active_ongoing\n", + "... ... ...\n", + "1759949 893333 active_ongoing\n", + "1759950 893335 active_ongoing\n", + "1759951 893343 active_ongoing\n", + "1759952 893344 active_ongoing\n", + "1759953 893352 active_ongoing\n", + "\n", + "[1070507 rows x 2 columns]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "non_active_validators = validators[validators['status'] != 'active_ongoing']\n", + "non_active_validators\n", + "\n", + "active_validators = validators[validators['status'] == 'active_ongoing']\n", + "active_validators" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/fq/bp58gxy12nd2b32pw1y8wy040000gn/T/ipykernel_28284/3333959086.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " active_registrations['date'] = pd.to_datetime(active_registrations['timestamp'], unit='s').dt.date\n" + ] + }, + { + "data": { + "text/html": [ + "
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validator_indexslotgas_limittimestamprelay_nameentitydate
04944810300000001606824023Aestussolo_stakers2020-12-01
14944810300000001606824023Agnostic Gnosissolo_stakers2020-12-01
24944810300000001606824023Titan Relaysolo_stakers2020-12-01
34944810300000001606824023Ultra Soundsolo_stakers2020-12-01
45565450300000001606824023Aestussolo_stakers2020-12-01
........................
1192997078143310804781360000001736481404Titan Relaycoinbase2025-01-10
1192997178162810804781360000001736481404BloXroute Max Profitcoinbase2025-01-10
1192997278162810804781360000001736481404Titan Relaycoinbase2025-01-10
1192997378260210804781360000001736481404BloXroute Max Profitcoinbase2025-01-10
1192997478260210804781360000001736481404Titan Relaycoinbase2025-01-10
\n", + "

11748058 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " validator_index slot gas_limit timestamp \\\n", + "0 494481 0 30000000 1606824023 \n", + "1 494481 0 30000000 1606824023 \n", + "2 494481 0 30000000 1606824023 \n", + "3 494481 0 30000000 1606824023 \n", + "4 556545 0 30000000 1606824023 \n", + "... ... ... ... ... \n", + "11929970 781433 10804781 36000000 1736481404 \n", + "11929971 781628 10804781 36000000 1736481404 \n", + "11929972 781628 10804781 36000000 1736481404 \n", + "11929973 782602 10804781 36000000 1736481404 \n", + "11929974 782602 10804781 36000000 1736481404 \n", + "\n", + " relay_name entity date \n", + "0 Aestus solo_stakers 2020-12-01 \n", + "1 Agnostic Gnosis solo_stakers 2020-12-01 \n", + "2 Titan Relay solo_stakers 2020-12-01 \n", + "3 Ultra Sound solo_stakers 2020-12-01 \n", + "4 Aestus solo_stakers 2020-12-01 \n", + "... ... ... ... \n", + "11929970 Titan Relay coinbase 2025-01-10 \n", + "11929971 BloXroute Max Profit coinbase 2025-01-10 \n", + "11929972 Titan Relay coinbase 2025-01-10 \n", + "11929973 BloXroute Max Profit coinbase 2025-01-10 \n", + "11929974 Titan Relay coinbase 2025-01-10 \n", + "\n", + "[11748058 rows x 7 columns]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "active_registrations = registrations[~registrations['validator_index'].isin(non_active_validators['index'])]\n", + "active_registrations['date'] = pd.to_datetime(active_registrations['timestamp'], unit='s').dt.date\n", + "active_registrations\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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validator_indexrelay_nameslotgas_limittimestampentity
00Aestus8708041300000001711320515solo_stakers
10Agnostic Gnosis8708041300000001711320515solo_stakers
20BloXroute Max Profit10681573300000001735002899solo_stakers
30Eden Network10681573300000001735002899solo_stakers
40Flashbots8708041300000001711320515solo_stakers
.....................
67089791734312BloXroute Regulated10799168300000001736414039None
67089801734312Flashbots10796057300000001736376707None
67089811734312Manifold10796057300000001736376707None
67089821734312Titan Relay10799168300000001736414039None
67089831734312Ultra Sound10796057300000001736376707None
\n", + "

6708984 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " validator_index relay_name slot gas_limit \\\n", + "0 0 Aestus 8708041 30000000 \n", + "1 0 Agnostic Gnosis 8708041 30000000 \n", + "2 0 BloXroute Max Profit 10681573 30000000 \n", + "3 0 Eden Network 10681573 30000000 \n", + "4 0 Flashbots 8708041 30000000 \n", + "... ... ... ... ... \n", + "6708979 1734312 BloXroute Regulated 10799168 30000000 \n", + "6708980 1734312 Flashbots 10796057 30000000 \n", + "6708981 1734312 Manifold 10796057 30000000 \n", + "6708982 1734312 Titan Relay 10799168 30000000 \n", + "6708983 1734312 Ultra Sound 10796057 30000000 \n", + "\n", + " timestamp entity \n", + "0 1711320515 solo_stakers \n", + "1 1711320515 solo_stakers \n", + "2 1735002899 solo_stakers \n", + "3 1735002899 solo_stakers \n", + "4 1711320515 solo_stakers \n", + "... ... ... \n", + "6708979 1736414039 None \n", + "6708980 1736376707 None \n", + "6708981 1736376707 None \n", + "6708982 1736414039 None \n", + "6708983 1736376707 None \n", + "\n", + "[6708984 rows x 6 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Ensure we've got the most recent registrations with a unique key of validator index and relay name\n", + "most_recent_registrations_per_relay = active_registrations.groupby(['validator_index', 'relay_name']).last().reset_index()\n", + "most_recent_registrations_per_relay\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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validator_indexslotgas_limittimestamprelay_nameentitydate
0010681573300000001735002899Titan Relaysolo_stakers2024-12-24
1110681573300000001735002899Titan Relaysolo_stakers2024-12-24
2210681573300000001735002899Titan Relaysolo_stakers2024-12-24
3310681573300000001735002899Titan Relaysolo_stakers2024-12-24
4410681573300000001735002899Titan Relaysolo_stakers2024-12-24
........................
1036498173430810799168300000001736414039Titan RelayNone2025-01-09
1036499173430910799168300000001736414039Titan RelayNone2025-01-09
1036500173431010799168300000001736414039Titan RelayNone2025-01-09
1036501173431110799168300000001736414039Titan RelayNone2025-01-09
1036502173431210799168300000001736414039Titan RelayNone2025-01-09
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1036503 rows × 7 columns

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" + ], + "text/plain": [ + " validator_index slot gas_limit timestamp relay_name \\\n", + "0 0 10681573 30000000 1735002899 Titan Relay \n", + "1 1 10681573 30000000 1735002899 Titan Relay \n", + "2 2 10681573 30000000 1735002899 Titan Relay \n", + "3 3 10681573 30000000 1735002899 Titan Relay \n", + "4 4 10681573 30000000 1735002899 Titan Relay \n", + "... ... ... ... ... ... \n", + "1036498 1734308 10799168 30000000 1736414039 Titan Relay \n", + "1036499 1734309 10799168 30000000 1736414039 Titan Relay \n", + "1036500 1734310 10799168 30000000 1736414039 Titan Relay \n", + "1036501 1734311 10799168 30000000 1736414039 Titan Relay \n", + "1036502 1734312 10799168 30000000 1736414039 Titan Relay \n", + "\n", + " entity date \n", + "0 solo_stakers 2024-12-24 \n", + "1 solo_stakers 2024-12-24 \n", + "2 solo_stakers 2024-12-24 \n", + "3 solo_stakers 2024-12-24 \n", + "4 solo_stakers 2024-12-24 \n", + "... ... ... \n", + "1036498 None 2025-01-09 \n", + "1036499 None 2025-01-09 \n", + "1036500 None 2025-01-09 \n", + "1036501 None 2025-01-09 \n", + "1036502 None 2025-01-09 \n", + "\n", + "[1036503 rows x 7 columns]" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Ensure we've got the most recent registrations with a unique key of validator index ordered by timestamp\n", + "# Filter for active validators only\n", + "most_recent_registrations = active_registrations[active_registrations['validator_index'].isin(active_validators['index'])] \\\n", + " .groupby(['validator_index']).last().reset_index()\n", + "most_recent_registrations\n" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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relay_namecount
0Aestus1994
1Agnostic Gnosis12105
2BloXroute Max Profit43775
3BloXroute Regulated43515
4Eden Network16
5Flashbots12401
6Manifold4673
7Titan Relay735983
8Ultra Sound175433
9Wenmerge6608
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" + ], + "text/plain": [ + " relay_name count\n", + "0 Aestus 1994\n", + "1 Agnostic Gnosis 12105\n", + "2 BloXroute Max Profit 43775\n", + "3 BloXroute Regulated 43515\n", + "4 Eden Network 16\n", + "5 Flashbots 12401\n", + "6 Manifold 4673\n", + "7 Titan Relay 735983\n", + "8 Ultra Sound 175433\n", + "9 Wenmerge 6608" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Start building out the data we want to write to file\n", + "\n", + "total_validators_registered = len(most_recent_registrations)\n", + "total_active_validators = len(active_validators)\n", + "\n", + "## Count the number of validators registered to each relay\n", + "relay_totals = most_recent_registrations.groupby('relay_name').size().reset_index(name='count')\n", + "relay_totals\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "entity\n", + "solo_stakers 7756\n", + "whale_0x24d6 1014\n", + "whale_0xe43c 1011\n", + "abyss_finance 616\n", + "whale_0xefa0 507\n", + "whale_0x39fd 329\n", + "whale_0x900c 309\n", + "whale_0x1d5b 308\n", + "whale_0x10d5 304\n", + "whale_0xe3f7 290\n", + "dtype: int64" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Get the number of validators who are not registered to any relay and their entities\n", + "non_registered_validators = active_validators[~active_validators['index'].isin(most_recent_registrations['validator_index'])]\n", + "non_registered_validators = non_registered_validators.merge(validator_entities, left_on='index', right_on='validator_index')\n", + "\n", + "# Count per entity, show the top 10\n", + "non_registered_validators.groupby('entity').size().sort_values(ascending=False).head(10)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'total_active_validators': 1070507,\n", + " 'total_validators_registered': 1036503,\n", + " 'relay_registrations': [{'relay_name': 'Aestus', 'count': 1994},\n", + " {'relay_name': 'Agnostic Gnosis', 'count': 12105},\n", + " {'relay_name': 'BloXroute Max Profit', 'count': 43775},\n", + " {'relay_name': 'BloXroute Regulated', 'count': 43515},\n", + " {'relay_name': 'Eden Network', 'count': 16},\n", + " {'relay_name': 'Flashbots', 'count': 12401},\n", + " {'relay_name': 'Manifold', 'count': 4673},\n", + " {'relay_name': 'Titan Relay', 'count': 735983},\n", + " {'relay_name': 'Ultra Sound', 'count': 175433},\n", + " {'relay_name': 'Wenmerge', 'count': 6608}],\n", + " 'top_unregistered_entities': {'solo_stakers': 7756,\n", + " 'whale_0x24d6': 1014,\n", + " 'whale_0xe43c': 1011,\n", + " 'abyss_finance': 616,\n", + " 'whale_0xefa0': 507,\n", + " 'whale_0x39fd': 329,\n", + " 'whale_0x900c': 309,\n", + " 'whale_0x1d5b': 308,\n", + " 'whale_0x10d5': 304,\n", + " 'whale_0xe3f7': 290}}" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Write summary data to JSON\n", + "summary = {\n", + " \"total_active_validators\": int(total_active_validators),\n", + " \"total_validators_registered\": int(total_validators_registered),\n", + " \"relay_registrations\": relay_totals.to_dict('records'),\n", + " \"top_unregistered_entities\": non_registered_validators.groupby('entity').size().sort_values(ascending=False).head(10).to_dict()\n", + "}\n", + "\n", + "\n", + "lab.write_json('mev-relays-summary.json', summary)\n", + "\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}