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\n \n\n","label",[148,63],"frontend","pulls","branches",1,"forks","envVars",{"_157":26,"_159":26},"connections",{"_157":26,"_158":26},"count","unfilledCount","emptyCount",{"_32":235,"_13":226,"_61":220,"_42":-5,"_34":35,"_141":221,"_142":134,"_36":236,"_38":26,"_64":191,"_144":-5,"_65":24,"_146":-5,"_175":237,"_17":238},{"_32":227,"_13":228,"_61":229,"_42":220,"_34":35,"_141":103,"_142":134,"_36":230,"_38":151,"_64":231,"_144":232,"_65":24,"_146":-5,"_175":233,"_17":234},{"_32":217,"_13":218,"_61":219,"_42":220,"_34":35,"_141":221,"_142":134,"_36":222,"_38":26,"_64":184,"_144":223,"_65":24,"_146":-5,"_175":224,"_17":225},{"_32":213,"_13":148,"_61":140,"_42":-5,"_34":35,"_141":197,"_142":134,"_36":214,"_38":26,"_64":191,"_144":-5,"_65":24,"_146":-5,"_175":215,"_17":216},{"_32":139,"_13":63,"_61":62,"_42":140,"_34":35,"_141":39,"_142":134,"_36":210,"_38":26,"_64":21,"_144":145,"_65":24,"_146":-5,"_175":211,"_17":212},{"_32":202,"_13":203,"_61":204,"_42":140,"_34":35,"_141":205,"_142":134,"_36":206,"_38":26,"_64":184,"_144":207,"_65":24,"_146":-5,"_175":208,"_17":209},{"_32":194,"_13":195,"_61":196,"_42":140,"_34":35,"_141":197,"_142":134,"_36":198,"_38":26,"_64":21,"_144":199,"_65":24,"_146":-5,"_175":200,"_17":201},{"_32":189,"_13":188,"_61":181,"_42":-5,"_34":35,"_141":182,"_142":134,"_36":190,"_38":26,"_64":191,"_144":-5,"_65":24,"_146":-5,"_175":192,"_17":193},{"_32":178,"_13":179,"_61":180,"_42":181,"_34":35,"_141":182,"_142":134,"_36":183,"_38":26,"_64":184,"_144":185,"_65":24,"_146":-5,"_175":186,"_17":187},{"_32":170,"_13":171,"_61":172,"_42":-5,"_34":35,"_141":151,"_142":134,"_36":173,"_38":26,"_64":21,"_144":174,"_65":24,"_146":-5,"_175":176,"_17":177},"252cdc56-e08a-11f0-95d1-42dde27851f2","README.md","252cdd00-e08a-11f0-95d1-42dde27851f2",["D",1766554438224],"# NBA Offensive Rebounds Year-over-Year Analysis\n\nThis project provides a web application to analyze NBA offensive rebounds totals across different seasons, showing year-over-year trends and statistics.\n\n## Features\n\n- Fetches NBA team statistics from multiple seasons\n- Calculates total offensive rebounds per season\n- Displays year-over-year comparison with percentage changes\n- Interactive web interface with data visualization\n\n## Project Structure\n\n```\n├── backend/\n│ ├── index.ts # Main Hono server\n│ └── nba-api.ts # NBA data fetching logic\n├── frontend/\n│ ├── index.html # Main HTML template\n│ ├── index.tsx # React frontend\n│ └── style.css # Styling\n└── shared/\n └── types.ts # Shared TypeScript types\n```\n\n## Usage\n\nThe application fetches NBA team statistics and aggregates offensive rebounds by season to show trends over time.\n\n## Data Source\n\nUses the NBA Stats API to fetch team statistics for offensive rebounds analysis.","children",[],[171],"29aa4dc2-e08a-11f0-808c-42dde27851f2","types.ts","29aa4e94-e08a-11f0-808c-42dde27851f2","945757cf-a4f0-4c83-8d17-1828aceb3125",2,["D",1766554445756],"script","// Shared types for NBA offensive rebounds analysis\n\nexport interface SeasonStats {\n season: string;\n totalOffensiveRebounds: number;\n averagePerTeam: number;\n yearOverYearChange?: number;\n yearOverYearPercentage?: number;\n}\n\nexport interface TeamStats {\n teamId: number;\n teamName: string;\n season: string;\n offensiveRebounds: number;\n games: number;\n offensiveReboundsPerGame: number;\n}\n\nexport interface NBAApiResponse {\n resultSets: Array<{\n name: string;\n headers: string[];\n rowSet: any[][];\n }>;\n}\n\nexport interface AnalysisResult {\n seasons: SeasonStats[];\n totalSeasons: number;\n overallTrend: 'increasing' | 'decreasing' | 'stable';\n biggestIncrease?: {\n season: string;\n change: number;\n percentage: number;\n };\n biggestDecrease?: {\n season: string;\n change: number;\n percentage: number;\n };\n}",[],[188,179],"shared","29aa76c6-e08a-11f0-808c-42dde27851f2",["D",1766554445756],"directory",[168],[188],"48bde0ac-e08a-11f0-a151-42dde27851f2","style.css","48bde174-e08a-11f0-a151-42dde27851f2",5,["D",1766554497895],"/* NBA Offensive Rebounds Analysis Styles */\n\n* {\n margin: 0;\n padding: 0;\n box-sizing: border-box;\n}\n\nbody {\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;\n background: linear-gradient(135deg, #1e3c72 0%, #2a5298 100%);\n min-height: 100vh;\n color: #333;\n}\n\n.container {\n max-width: 1200px;\n margin: 0 auto;\n padding: 20px;\n}\n\n.header {\n text-align: center;\n margin-bottom: 40px;\n color: white;\n}\n\n.header h1 {\n font-size: 2.5rem;\n margin-bottom: 10px;\n text-shadow: 2px 2px 4px rgba(0,0,0,0.3);\n}\n\n.header p {\n font-size: 1.1rem;\n opacity: 0.9;\n}\n\n.loading {\n text-align: center;\n padding: 60px 20px;\n background: white;\n border-radius: 12px;\n box-shadow: 0 8px 32px rgba(0,0,0,0.1);\n}\n\n.loading-spinner {\n width: 50px;\n height: 50px;\n border: 4px solid #f3f3f3;\n border-top: 4px solid #2a5298;\n border-radius: 50%;\n animation: spin 1s linear infinite;\n margin: 0 auto 20px;\n}\n\n@keyframes spin {\n 0% { transform: rotate(0deg); }\n 100% { transform: rotate(360deg); }\n}\n\n.error {\n background: #fee;\n border: 1px solid #fcc;\n color: #c33;\n padding: 20px;\n border-radius: 8px;\n margin: 20px 0;\n}\n\n.summary-cards {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));\n gap: 20px;\n margin-bottom: 40px;\n}\n\n.summary-card {\n background: white;\n padding: 24px;\n border-radius: 12px;\n box-shadow: 0 4px 16px rgba(0,0,0,0.1);\n text-align: center;\n}\n\n.summary-card h3 {\n color: #2a5298;\n font-size: 0.9rem;\n text-transform: uppercase;\n letter-spacing: 1px;\n margin-bottom: 8px;\n}\n\n.summary-card .value {\n font-size: 2rem;\n font-weight: bold;\n color: #333;\n margin-bottom: 4px;\n}\n\n.summary-card .label {\n color: #666;\n font-size: 0.9rem;\n}\n\n.trend-up { color: #22c55e; }\n.trend-down { color: #ef4444; }\n.trend-stable { color: #6b7280; }\n\n.data-table {\n background: white;\n border-radius: 12px;\n box-shadow: 0 4px 16px rgba(0,0,0,0.1);\n overflow: hidden;\n margin-bottom: 40px;\n}\n\n.data-table h2 {\n padding: 24px;\n background: #f8fafc;\n border-bottom: 1px solid #e2e8f0;\n color: #2a5298;\n margin: 0;\n}\n\n.table-container {\n overflow-x: auto;\n}\n\ntable {\n width: 100%;\n border-collapse: collapse;\n}\n\nth, td {\n padding: 16px;\n text-align: left;\n border-bottom: 1px solid #e2e8f0;\n}\n\nth {\n background: #f8fafc;\n font-weight: 600;\n color: #374151;\n font-size: 0.9rem;\n text-transform: uppercase;\n letter-spacing: 0.5px;\n}\n\ntd {\n color: #374151;\n}\n\ntr:hover {\n background: #f9fafb;\n}\n\n.number {\n text-align: right;\n font-family: 'SF Mono', Monaco, monospace;\n}\n\n.positive {\n color: #22c55e;\n font-weight: 600;\n}\n\n.negative {\n color: #ef4444;\n font-weight: 600;\n}\n\n.insights {\n background: white;\n padding: 24px;\n border-radius: 12px;\n box-shadow: 0 4px 16px rgba(0,0,0,0.1);\n}\n\n.insights h2 {\n color: #2a5298;\n margin-bottom: 16px;\n}\n\n.insight-item {\n margin-bottom: 12px;\n padding: 12px;\n background: #f8fafc;\n border-radius: 8px;\n border-left: 4px solid #2a5298;\n}\n\n.refresh-button {\n background: #2a5298;\n color: white;\n border: none;\n padding: 12px 24px;\n border-radius: 8px;\n cursor: pointer;\n font-size: 1rem;\n margin: 20px auto;\n display: block;\n transition: background 0.2s;\n}\n\n.refresh-button:hover {\n background: #1e3c72;\n}\n\n.refresh-button:disabled {\n background: #9ca3af;\n cursor: not-allowed;\n}\n\n@media (max-width: 768px) {\n .container {\n padding: 10px;\n }\n \n .header h1 {\n font-size: 2rem;\n }\n \n .summary-cards {\n grid-template-columns: 1fr;\n }\n \n th, td {\n padding: 12px 8px;\n font-size: 0.9rem;\n }\n}",[],[148,195],"5a46abf6-e08a-11f0-958c-42dde27851f2","index.tsx","5a46acaa-e08a-11f0-958c-42dde27851f2",7,["D",1766554527313],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState, useEffect } from \"https://esm.sh/react@18.2.0\";\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport type { AnalysisResult } from \"../shared/types.ts\";\n\ninterface AppState {\n data: AnalysisResult | null;\n loading: boolean;\n error: string | null;\n}\n\nfunction App() {\n const [state, setState] = useState({\n data: null,\n loading: true,\n error: null\n });\n\n const fetchData = async () => {\n setState(prev => ({ ...prev, loading: true, error: null }));\n \n try {\n const response = await fetch('/api/offensive-rebounds');\n const result = await response.json();\n \n if (result.success) {\n setState({\n data: result.data,\n loading: false,\n error: null\n });\n } else {\n setState({\n data: null,\n loading: false,\n error: result.error || 'Failed to fetch data'\n });\n }\n } catch (error) {\n setState({\n data: null,\n loading: false,\n error: error instanceof Error ? error.message : 'Network error'\n });\n }\n };\n\n useEffect(() => {\n // Check if we have initial data from server\n const initialData = (window as any).__INITIAL_DATA__;\n if (initialData && !initialData.loading) {\n setState({\n data: initialData,\n loading: false,\n error: null\n });\n } else {\n fetchData();\n }\n }, []);\n\n const formatNumber = (num: number): string => {\n return num.toLocaleString();\n };\n\n const formatPercentage = (num: number): string => {\n return `${num >= 0 ? '+' : ''}${num.toFixed(1)}%`;\n };\n\n const formatChange = (num: number): string => {\n return `${num >= 0 ? '+' : ''}${formatNumber(num)}`;\n };\n\n if (state.loading) {\n return (\n

🏀 NBA Offensive Rebounds Analysis

Year-over-Year Trends and Statistics

Fetching NBA Data...

This may take a moment as we gather statistics from multiple seasons

\n );\n }\n\n if (state.error) {\n return (\n

🏀 NBA Offensive Rebounds Analysis

Year-over-Year Trends and Statistics

Error Loading Data

{state.error}

\n \n

\n );\n }\n\n if (!state.data) {\n return (\n

🏀 NBA Offensive Rebounds Analysis

Year-over-Year Trends and Statistics

No Data Available

Unable to load NBA offensive rebounds data

\n );\n }\n\n const { data } = state;\n const latestSeason = data.seasons[data.seasons.length - 1];\n const totalRebounds = data.seasons.reduce((sum, season) => sum + season.totalOffensiveRebounds, 0);\n\n return (\n

🏀 NBA Offensive Rebounds Analysis

Year-over-Year Trends and Statistics

\n\n

Total Seasons

{data.totalSeasons}

Analyzed

\n \n

Latest Season Total

{formatNumber(latestSeason.totalOffensiveRebounds)}

{latestSeason.season}

\n \n

Overall Trend

\n {data.overallTrend === 'increasing' ? '📈' : \n data.overallTrend === 'decreasing' ? '📉' : '➡️'}\n

{data.overallTrend}

\n \n

Total Rebounds

{formatNumber(totalRebounds)}

All Seasons

\n\n

Season-by-Season Breakdown

\n \n \n \n \n \n \n \n \n \n \n \n {data.seasons.map((season) => (\n \n \n \n \n \n \n \n ))}\n \n

Season	Total Offensive Rebounds	Average per Team	Year-over-Year Change	Percentage Change
{season.season}	{formatNumber(season.totalOffensiveRebounds)}	{season.averagePerTeam.toFixed(1)}	0 ? 'positive' : 'negative') : ''}`}>\n {season.yearOverYearChange ? formatChange(season.yearOverYearChange) : '—'}\n	0 ? 'positive' : 'negative') : ''}`}>\n {season.yearOverYearPercentage ? formatPercentage(season.yearOverYearPercentage) : '—'}\n

\n\n {(data.biggestIncrease || data.biggestDecrease) && (\n

Key Insights

\n \n {data.biggestIncrease && (\n

\n Biggest Year-over-Year Increase: {data.biggestIncrease.season} with \n {formatChange(data.biggestIncrease.change)} rebounds \n ({formatPercentage(data.biggestIncrease.percentage)})\n

\n )}\n \n {data.biggestDecrease && (\n

\n Biggest Year-over-Year Decrease: {data.biggestDecrease.season} with \n {formatChange(data.biggestDecrease.change)} rebounds \n ({formatPercentage(data.biggestDecrease.percentage)})\n

\n )}\n \n

\n Analysis Period: This analysis covers {data.totalSeasons} NBA seasons, \n tracking the total offensive rebounds across all 30 teams each season.\n

\n )}\n\n \n

\n );\n}\n\n// Mount the app\nconst root = createRoot(document.getElementById('root')!);\nroot.render();",[],[148,203],["D",1766554501697],[],[148,63],"48be1590-e08a-11f0-a151-42dde27851f2",["D",1766554497895],[164,165,166],[148],"38971752-e08a-11f0-a729-42dde27851f2","nba-api.ts","38971810-e08a-11f0-a729-42dde27851f2","26051161-f9bb-415c-9a47-8864d9d8c785",3,["D",1766554470796],"import type { TeamStats, SeasonStats, NBAApiResponse, AnalysisResult } from \"../shared/types.ts\";\n\n// NBA seasons to analyze (last 10 seasons)\nconst SEASONS = [\n \"2014-15\", \"2015-16\", \"2016-17\", \"2017-18\", \"2018-19\",\n \"2019-20\", \"2020-21\", \"2021-22\", \"2022-23\", \"2023-24\"\n];\n\n/**\n * Fetches NBA team stats for a specific season\n */\nasync function fetchSeasonStats(season: string): Promise {\n const url = `https://stats.nba.com/stats/leaguedashteamstats?Conference=&DateFrom=&DateTo=&Division=&GameScope=&GameSegment=&Height=&LastNGames=0&LeagueID=00&Location=&MeasureType=Base&Month=0&OpponentTeamID=0&Outcome=&PORound=0&PaceAdjust=N&PerMode=Totals&Period=0&PlayerExperience=&PlayerPosition=&PlusMinus=N&Rank=N&Season=${season}&SeasonSegment=&SeasonType=Regular%20Season&ShotClockRange=&StarterBench=&TeamID=0&TwoWay=0&VsConference=&VsDivision=`;\n \n try {\n const response = await fetch(url, {\n headers: {\n 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',\n 'Accept': 'application/json',\n 'Referer': 'https://www.nba.com/',\n }\n });\n\n if (!response.ok) {\n throw new Error(`Failed to fetch data for season ${season}: ${response.status}`);\n }\n\n const data: NBAApiResponse = await response.json();\n const teamStatsData = data.resultSets[0];\n \n if (!teamStatsData || !teamStatsData.rowSet) {\n throw new Error(`No team stats data found for season ${season}`);\n }\n\n // Find the indices for the columns we need\n const headers = teamStatsData.headers;\n const teamIdIndex = headers.indexOf('TEAM_ID');\n const teamNameIndex = headers.indexOf('TEAM_NAME');\n const gamesIndex = headers.indexOf('GP');\n const offRebIndex = headers.indexOf('OREB');\n\n if (teamIdIndex === -1 || teamNameIndex === -1 || gamesIndex === -1 || offRebIndex === -1) {\n throw new Error(`Required columns not found in API response for season ${season}`);\n }\n\n return teamStatsData.rowSet.map((row: any[]): TeamStats => ({\n teamId: row[teamIdIndex],\n teamName: row[teamNameIndex],\n season,\n offensiveRebounds: row[offRebIndex] || 0,\n games: row[gamesIndex] || 0,\n offensiveReboundsPerGame: row[gamesIndex] > 0 ? (row[offRebIndex] || 0) / row[gamesIndex] : 0\n }));\n\n } catch (error) {\n console.error(`Error fetching season ${season}:`, error);\n // Return empty array for failed seasons to continue with other seasons\n return [];\n }\n}\n\n/**\n * Calculates season totals and year-over-year changes\n */\nfunction calculateSeasonAnalysis(allTeamStats: TeamStats[]): AnalysisResult {\n // Group by season and calculate totals\n const seasonTotals = new Map();\n \n for (const teamStat of allTeamStats) {\n const existing = seasonTotals.get(teamStat.season);\n if (existing) {\n existing.totalOffensiveRebounds += teamStat.offensiveRebounds;\n } else {\n seasonTotals.set(teamStat.season, {\n season: teamStat.season,\n totalOffensiveRebounds: teamStat.offensiveRebounds,\n averagePerTeam: 0\n });\n }\n }\n\n // Calculate averages per team (assuming 30 teams)\n const seasons: SeasonStats[] = Array.from(seasonTotals.values()).map(season => ({\n ...season,\n averagePerTeam: season.totalOffensiveRebounds / 30\n }));\n\n // Sort by season\n seasons.sort((a, b) => a.season.localeCompare(b.season));\n\n // Calculate year-over-year changes\n for (let i = 1; i < seasons.length; i++) {\n const current = seasons[i];\n const previous = seasons[i - 1];\n \n current.yearOverYearChange = current.totalOffensiveRebounds - previous.totalOffensiveRebounds;\n current.yearOverYearPercentage = previous.totalOffensiveRebounds > 0 \n ? (current.yearOverYearChange / previous.totalOffensiveRebounds) * 100 \n : 0;\n }\n\n // Analyze trends\n const validChanges = seasons.filter(s => s.yearOverYearChange !== undefined);\n const increases = validChanges.filter(s => s.yearOverYearChange! > 0);\n const decreases = validChanges.filter(s => s.yearOverYearChange! < 0);\n \n let overallTrend: 'increasing' | 'decreasing' | 'stable' = 'stable';\n if (increases.length > decreases.length) {\n overallTrend = 'increasing';\n } else if (decreases.length > increases.length) {\n overallTrend = 'decreasing';\n }\n\n const biggestIncrease = increases.length > 0 \n ? increases.reduce((max, current) => \n current.yearOverYearChange! > max.yearOverYearChange! ? current : max)\n : undefined;\n\n const biggestDecrease = decreases.length > 0\n ? decreases.reduce((min, current) => \n current.yearOverYearChange! < min.yearOverYearChange! ? current : min)\n : undefined;\n\n return {\n seasons,\n totalSeasons: seasons.length,\n overallTrend,\n biggestIncrease: biggestIncrease ? {\n season: biggestIncrease.season,\n change: biggestIncrease.yearOverYearChange!,\n percentage: biggestIncrease.yearOverYearPercentage!\n } : undefined,\n biggestDecrease: biggestDecrease ? {\n season: biggestDecrease.season,\n change: biggestDecrease.yearOverYearChange!,\n percentage: biggestDecrease.yearOverYearPercentage!\n } : undefined\n };\n}\n\n/**\n * Main function to fetch and analyze NBA offensive rebounds data\n */\nexport async function analyzeOffensiveRebounds(): Promise {\n console.log('Starting NBA offensive rebounds analysis...');\n \n const allTeamStats: TeamStats[] = [];\n \n // Fetch data for all seasons with some delay to avoid rate limiting\n for (const season of SEASONS) {\n console.log(`Fetching data for season ${season}...`);\n try {\n const seasonStats = await fetchSeasonStats(season);\n allTeamStats.push(...seasonStats);\n \n // Add a small delay between requests to be respectful to the API\n await new Promise(resolve => setTimeout(resolve, 500));\n } catch (error) {\n console.error(`Failed to fetch season ${season}:`, error);\n }\n }\n\n console.log(`Fetched data for ${allTeamStats.length} team-season records`);\n \n if (allTeamStats.length === 0) {\n throw new Error('No NBA data could be fetched');\n }\n\n return calculateSeasonAnalysis(allTeamStats);\n}",[],[226,218],"backend","5c35249c-e08a-11f0-a298-42dde27851f2","index.ts","3e263b12-e08a-11f0-b494-42dde27851f2",["D",1766554530552],"http","import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { readFile, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { analyzeOffensiveRebounds } from \"./nba-api.ts\";\n\nconst app = new Hono();\n\n// Unwrap Hono errors to see original error details\napp.onError((err) => Promise.reject(err));\n\n// Serve static files\napp.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n\n// Main page - serve HTML with initial data\napp.get(\"/\", async c => {\n try {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n \n // Inject loading state initially\n const dataScript = ``;\n\n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n } catch (error) {\n console.error(\"Error serving main page:\", error);\n return c.text(\"Error loading page\", 500);\n }\n});\n\n// API endpoint to get offensive rebounds analysis\napp.get(\"/api/offensive-rebounds\", async c => {\n try {\n console.log(\"Starting offensive rebounds analysis...\");\n const analysis = await analyzeOffensiveRebounds();\n \n return c.json({\n success: true,\n data: analysis,\n timestamp: new Date().toISOString()\n });\n } catch (error) {\n console.error(\"Error in offensive rebounds analysis:\", error);\n return c.json({\n success: false,\n error: error instanceof Error ? error.message : \"Unknown error occurred\",\n timestamp: new Date().toISOString()\n }, 500);\n }\n});\n\n// Health check endpoint\napp.get(\"/api/health\", c => {\n return c.json({ \n status: \"healthy\", \n timestamp: new Date().toISOString() \n });\n});\n\nexport default app.fetch;",[],[226,228],"3897701c-e08a-11f0-a729-42dde27851f2",["D",1766554470796],[161,162],[226],["D",1766554349318],{"_11":12,"_116":68},{"_11":12,"_112":-5,"_67":68,"_30":66,"_113":114,"_115":24},{"_38":103,"_13":16,"_32":35,"_104":70,"_105":-5,"_106":-5,"_107":-5,"_108":-5,"_109":-5,"_110":14,"_111":12},"ctx",{"_51":-5,"_136":276,"_277":278,"_279":280,"_281":24,"_282":24,"_283":24,"_284":134,"_285":-5,"_286":-7,"_287":-7,"_288":26,"_289":24,"_290":24,"_291":-5,"_292":24,"_293":24,"_294":24,"_295":-5},"ENV",{"_247":248,"_249":250,"_251":16,"_252":253,"_254":255,"_256":257,"_258":259,"_260":261,"_262":263,"_264":265,"_266":267,"_268":269,"_270":271,"_272":273,"_274":275},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","71c1b20804b3232a7e513be260cfffc1932a9e97","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

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