import {setupPopover} from './popover';

const roiCache: Record<string, Promise<{lastModified: Date, profits: Profit[]}>> = {};
async function getROI(cx: string) {
	const response = await fetch(`/roi_${cx.toLowerCase()}.json`);
	const lastModified = new Date(response.headers.get('last-modified')!);
	const profits = await response.json();
	return {lastModified, profits};
}

type MetricType = 'vwap' | 'bid' | 'ask';

const lowVolume = document.querySelector('input#low-volume') as HTMLInputElement;

const cxSelect = document.querySelector('select#cx') as HTMLSelectElement;
const expertise = {
	AGRICULTURE: 'agri',
	CHEMISTRY: 'chem',
	CONSTRUCTION: 'const',
	ELECTRONICS: 'elec',
	FOOD_INDUSTRIES: 'food ind',
	FUEL_REFINING: 'fuel',
	MANUFACTURING: 'mfg',
	METALLURGY: 'metal',
	RESOURCE_EXTRACTION: 'res ext',
} as const;
const expertiseSelect = document.querySelector('select#expertise') as HTMLSelectElement;
for (const key of Object.keys(expertise)) {
	const option = document.createElement('option');
	option.value = key;
	option.textContent = key.replace('_', ' ').toLowerCase();
	expertiseSelect.appendChild(option);
}
const buildingSelect = document.querySelector('select#building') as HTMLSelectElement;

const formatSigFig = new Intl.NumberFormat(undefined, {
	notation: 'compact',
	maximumSignificantDigits: 3,
}).format;

if (localStorage.getItem('roi-cx')) cxSelect.value = localStorage.getItem('roi-cx')!;
if (localStorage.getItem('roi-expertise')) expertiseSelect.value = localStorage.getItem('roi-expertise')!;
if (localStorage.getItem('roi-low-volume')) lowVolume.checked = localStorage.getItem('roi-low-volume') === 'true';

let savedBuilding = localStorage.getItem('roi-building') || '';

let storedSortKey = localStorage.getItem('roi-sort-key') as any;
if (storedSortKey === 'logistics_per_base') storedSortKey = 'normalized_logistics_per_base';
let currentSortKey: keyof ProfitWithMetrics | 'outputs' = storedSortKey || 'break_even';
let currentSortAsc: boolean = localStorage.getItem('roi-sort-asc') !== 'false';

let headersInitialized = false;
let metricControlsInitialized = false;

let capexMetric: MetricType = (localStorage.getItem('roi-capex-metric') as MetricType) || 'vwap';
let opexMetric: MetricType = (localStorage.getItem('roi-opex-metric') as MetricType) || 'vwap';
let revenueMetric: MetricType = (localStorage.getItem('roi-revenue-metric') as MetricType) || 'vwap';

let roundTripOption: string = localStorage.getItem('roi-round-trip') || 'omit';
let showNegativeProfit: boolean = localStorage.getItem('roi-show-negative') !== 'false';
let workingCapitalOption: string = localStorage.getItem('roi-working-capital-opt') || 'dynamic';
let targetPermitOption: string = localStorage.getItem('roi-target-permit') || '2';
let percentileMode: 'relative' | 'absolute' = (localStorage.getItem('roi-pct-mode') as 'relative' | 'absolute') || 'relative';

async function render() {
	const tbody = document.querySelector('tbody')!;
	tbody.innerHTML = '';

	const cx = cxSelect.value;
	if (!roiCache[cx])
		roiCache[cx] = getROI(cx);
	const {lastModified, profits} = await roiCache[cx];

	if (!metricControlsInitialized) {
		const controls = document.createElement('div');
		controls.style.marginBottom = '15px';
		controls.innerHTML = `
			<label style="margin-right: 15px;">CapEx Price: 
				<select id="capex-metric"><option value="vwap">VWAP</option><option value="bid">Bid</option><option value="ask">Ask</option></select>
			</label>
			<label style="margin-right: 15px;">OpEx Price: 
				<select id="opex-metric"><option value="vwap">VWAP</option><option value="bid">Bid</option><option value="ask">Ask</option></select>
			</label>
			<label style="margin-right: 15px;">Revenue Price: 
				<select id="revenue-metric"><option value="vwap">VWAP</option><option value="bid">Bid</option><option value="ask">Ask</option></select>
			</label>
			<label style="margin-right: 15px;">
				<input type="checkbox" id="show-negative"> Show Negative Profit
			</label>
			<label style="margin-right: 15px;">
				Round Trip (hrs): 
				<select id="round-trip">
					<option value="omit">Omit From Calculation</option>
					${Array.from({length: 25}, (_, i) => `<option value="${i + 1}">${i + 1}</option>`).join('')}
				</select>
			</label>
			<label style="margin-right: 15px;">
				Days OpEx: 
				<select id="working-capital">
					<option value="omit">Omit From Calculation</option>
					<option value="dynamic">Max for Shipment (dynamic)</option>
					<option value="1">1</option>
					<option value="2">2</option>
					<option value="3">3</option>
					<option value="4">4</option>
					<option value="5">5</option>
					<option value="6">6</option>
					<option value="7">7</option>
					<option value="14">14</option>
					<option value="30">30</option>
				</select>
			</label>
			<label>
				Permit Number: 
				<select id="target-permit">
					<option value="omit">Omit From Calculation</option>
					${Array.from({length: 49}, (_, i) => `<option value="${i + 2}">${i + 2}</option>`).join('')}
				</select>
			</label>
			<label style="margin-left: 15px;">
				Percentiles: 
				<select id="percentile-mode">
					<option value="relative">Normalized (Weighted)</option>
					<option value="absolute">Absolute</option>
				</select>
			</label>
		`;
		const table = document.querySelector('table');
		if (table) table.parentNode?.insertBefore(controls, table);

		(document.getElementById('capex-metric') as HTMLSelectElement).value = capexMetric;
		(document.getElementById('opex-metric') as HTMLSelectElement).value = opexMetric;
		(document.getElementById('revenue-metric') as HTMLSelectElement).value = revenueMetric;
		(document.getElementById('show-negative') as HTMLInputElement).checked = showNegativeProfit;
		(document.getElementById('round-trip') as HTMLSelectElement).value = roundTripOption;
		(document.getElementById('working-capital') as HTMLSelectElement).value = workingCapitalOption;
		(document.getElementById('target-permit') as HTMLSelectElement).value = targetPermitOption;
		(document.getElementById('percentile-mode') as HTMLSelectElement).value = percentileMode;

		document.getElementById('capex-metric')!.addEventListener('change', (e) => {
			capexMetric = (e.target as HTMLSelectElement).value as MetricType;
			render();
		});
		document.getElementById('opex-metric')!.addEventListener('change', (e) => {
			opexMetric = (e.target as HTMLSelectElement).value as MetricType;
			render();
		});
		document.getElementById('revenue-metric')!.addEventListener('change', (e) => {
			revenueMetric = (e.target as HTMLSelectElement).value as MetricType;
			render();
		});
		document.getElementById('show-negative')!.addEventListener('change', (e) => {
			showNegativeProfit = (e.target as HTMLInputElement).checked;
			render();
		});
		document.getElementById('round-trip')!.addEventListener('change', (e) => {
			roundTripOption = (e.target as HTMLSelectElement).value;
			render();
		});
		document.getElementById('working-capital')!.addEventListener('change', (e) => {
			workingCapitalOption = (e.target as HTMLSelectElement).value;
			render();
		});
		document.getElementById('target-permit')!.addEventListener('change', (e) => {
			targetPermitOption = (e.target as HTMLSelectElement).value;
			render();
		});
		document.getElementById('percentile-mode')!.addEventListener('change', (e) => {
			percentileMode = (e.target as HTMLSelectElement).value as 'relative' | 'absolute';
			render();
		});
		metricControlsInitialized = true;
	}

	if (!headersInitialized) {
		const ths = document.querySelectorAll('th');
		const keys: (keyof ProfitWithMetrics | 'outputs')[] = [
			'outputs', 'expertise', 'profit_per_base', 'break_even', 
			'capex_val', 'opex_val', 'normalized_logistics_per_base', 'market_capacity_base'
		];
		
		const pctExplainer = '\n(Percentiles: 100.0% is the most desirable outcome. Toggle between Absolute and Normalized (weighted by market cash flow) using the controls.)';

		ths.forEach((th, i) => {
			if (keys[i]) {
				th.style.cursor = 'pointer';
				th.title = ''; 
				
				if (keys[i] === 'profit_per_base') {
					th.textContent = 'Profit/Base';
					th.dataset.tooltip = 'Click to sort.\n\nDaily profit scaled to a full 500-area planetary base.' + pctExplainer;
				} else if (keys[i] === 'capex_val') {
					th.textContent = 'CapEx/Base';
					th.dataset.tooltip = 'Click to sort.\n\nTotal capital expenditure scaled to a full 500-area planetary base.\nIncludes base construction, and optional Working Capital, HQ Upgrades, and Ship CapEx (use "Omit From Calculation" to exclude).' + pctExplainer;
				} else if (keys[i] === 'opex_val') {
					th.textContent = 'OpEx/Base';
					th.dataset.tooltip = 'Click to sort.\n\nDaily operational expenditure (input materials + worker consumables) scaled to a full 500-area planetary base.' + pctExplainer;
				} else if (keys[i] === 'normalized_logistics_per_base') {
					th.textContent = 'Logistics/Base';
					th.dataset.tooltip = 'Click to sort.\n\nDaily logistics bottleneck scaled to a full 500-area planetary base. The suffix indicates whether Weight (t) or Volume (m³) of Inputs (I) or Outputs (O) is the limiting bottleneck.\nSorts and percentiles are strictly normalized based on ship capacity limits (3000t or 1000m³).' + pctExplainer;
				} else if (keys[i] === 'market_capacity_base') {
					th.textContent = 'Market Cap (Bases)';
					th.dataset.tooltip = 'Click to sort.\n\nMarket Capacity: 7-day average traded volume ÷ daily output per base. Indicates how many full 500-area bases you can build before saturating the market.' + pctExplainer;
				} else if (keys[i] === 'break_even') {
					th.dataset.tooltip = 'Click to sort.\n\nBreak Even: CapEx ÷ daily profit. Note that CapEx dynamically includes optional logistics and HQ upgrades to accurately reflect operational readiness.' + pctExplainer;
				} else {
					th.dataset.tooltip = 'Click to sort.';
				}

				th.addEventListener('click', () => {
					if (currentSortKey === keys[i]) {
						currentSortAsc = !currentSortAsc;
					} else {
						currentSortKey = keys[i];
						currentSortAsc = keys[i] === 'break_even' ? true : false;
					}
					render();
				});
			}
		});
		headersInitialized = true;
	}

	const buildingTickers = new Set(profits.map(p => p.building));
	const buildings: {ticker: string, expertise: keyof typeof expertise}[] = Array.from(buildingTickers)
			.map((building) => ({ticker: building, expertise: profits.find(p => p.building === building)!.expertise}))
			.sort((a, b) => a.ticker.localeCompare(b.ticker));
	
	let selectedBuilding = buildingSelect.value || savedBuilding;
	let buildingFound = false;
	buildingSelect.innerHTML = '<option value="">(all)</option>';
	for (const building of buildings)
		if (expertiseSelect.value === '' || expertiseSelect.value === building.expertise) {
			const option = document.createElement('option');
			option.value = building.ticker;
			option.textContent = building.ticker;
			if (building.ticker === selectedBuilding) {
				buildingFound = true;
				option.selected = true;
			}
			buildingSelect.appendChild(option);
		}
	if (!buildingFound)
		selectedBuilding = '';
	
	savedBuilding = ''; 

	const filteredProfits = profits.filter(p => {
		const volumeRatio = p.output_per_day / p.average_traded_7d;
		if (!lowVolume.checked && volumeRatio > 0.05) return false;
		if (expertiseSelect.value !== '' && p.expertise !== expertiseSelect.value) return false;
		if (selectedBuilding !== '' && p.building !== selectedBuilding) return false;
		return true;
	});

	let profitsWithMetrics: ProfitWithMetrics[] = filteredProfits.map(p => {
		const bases = p.area / 500;
		const opex_val = p.opex[opexMetric] / bases;
		const revenue_val = p.revenue[revenueMetric] / bases;
		
		let capex_val = p.capex[capexMetric] / bases;

		let activeWorkingCapitalDays = 0;
		if (workingCapitalOption !== 'omit') {
			if (workingCapitalOption === 'dynamic') {
				activeWorkingCapitalDays = p.normalized_logistics_per_base > 0 
					? 1 / p.normalized_logistics_per_base 
					: 0;
			} else {
				activeWorkingCapitalDays = parseInt(workingCapitalOption, 10);
			}
			capex_val += (opex_val * activeWorkingCapitalDays);
		}
		
		let hq_capex = 0;
		if (targetPermitOption !== 'omit') {
			const targetPermit = parseInt(targetPermitOption, 10);
			if (targetPermit >= 3) {
				const hqLevelStr = (targetPermit - 1).toString();
				if (p.hq_costs && p.hq_costs[hqLevelStr]) {
					hq_capex = p.hq_costs[hqLevelStr][capexMetric];
					capex_val += hq_capex;
				}
			}
		}

		let shipsNeeded = 0;
		let activeShipCapex = 0;
		if (roundTripOption !== 'omit') {
			const roundTripHours = parseInt(roundTripOption, 10);
			shipsNeeded = p.normalized_logistics_per_base * (roundTripHours / 24);
			activeShipCapex = shipsNeeded * 800_000;
			capex_val += activeShipCapex;
		}

		const profit_per_base = revenue_val - opex_val;
		const break_even = profit_per_base > 0 ? capex_val / profit_per_base : Infinity;
		
		// EXTREME DETAIL: We determine the specific market weight of this recipe line.
		// Multiplying the revenue (value per day per base) by the market capacity (max bases allowed)
		// yields the total cash flow value of all available trades in the global FIO market for this bottleneck.
		const market_cash_flow = revenue_val * p.market_capacity_base;
		
		return { 
			...p, 
			capex_val, 
			opex_val, 
			revenue_val, 
			profit_per_base, 
			break_even, 
			hq_capex,
			activeWorkingCapitalDays,
			activeShipCapex,
			shipsNeeded,
			market_cash_flow
		};
	});

	if (!showNegativeProfit) {
		profitsWithMetrics = profitsWithMetrics.filter(p => p.profit_per_base > 0);
	}

	// EXTREME DETAIL: Overhauled the extraction arrays to store both the numerical value AND the weight parameter.
	const numSortObj = (a: {val: number, weight: number}, b: {val: number, weight: number}) => (a.val < b.val ? -1 : a.val > b.val ? 1 : 0);
	const arrProfit = profitsWithMetrics.map(p => ({val: p.profit_per_base, weight: p.market_cash_flow})).sort(numSortObj);
	const arrBreak = profitsWithMetrics.map(p => ({val: p.break_even, weight: p.market_cash_flow})).sort(numSortObj);
	const arrCapex = profitsWithMetrics.map(p => ({val: p.capex_val, weight: p.market_cash_flow})).sort(numSortObj);
	const arrOpex = profitsWithMetrics.map(p => ({val: p.opex_val, weight: p.market_cash_flow})).sort(numSortObj);
	const arrLog = profitsWithMetrics.map(p => ({val: p.normalized_logistics_per_base, weight: p.market_cash_flow})).sort(numSortObj);
	const arrCap = profitsWithMetrics.map(p => ({val: p.market_capacity_base, weight: p.market_cash_flow})).sort(numSortObj);

	profitsWithMetrics.sort((a, b) => {
		let valA: any = a[currentSortKey as keyof ProfitWithMetrics];
		let valB: any = b[currentSortKey as keyof ProfitWithMetrics];
		
		if (currentSortKey === 'outputs') {
			valA = a.outputs.map(o => o.ticker).join(', ');
			valB = b.outputs.map(o => o.ticker).join(', ');
		}
		
		if (valA < valB) return currentSortAsc ? -1 : 1;
		if (valA > valB) return currentSortAsc ? 1 : -1;
		return 0;
	});

	for (const p of profitsWithMetrics) {
		const tr = document.createElement('tr');
		
		// Map the raw value to the selected percentile rank.
		const pctProfit = getPercentiles(p.profit_per_base, arrProfit, false)[percentileMode === 'absolute' ? 'abs' : 'rel'];
		const pctBreak = getPercentiles(p.break_even, arrBreak, true)[percentileMode === 'absolute' ? 'abs' : 'rel'];
		const pctCapex = getPercentiles(p.capex_val, arrCapex, true)[percentileMode === 'absolute' ? 'abs' : 'rel'];
		const pctOpex = getPercentiles(p.opex_val, arrOpex, true)[percentileMode === 'absolute' ? 'abs' : 'rel'];
		const pctLog = getPercentiles(p.normalized_logistics_per_base, arrLog, true)[percentileMode === 'absolute' ? 'abs' : 'rel'];
		const pctCap = getPercentiles(p.market_capacity_base, arrCap, false)[percentileMode === 'absolute' ? 'abs' : 'rel'];
		
		// Interplate the format string requested directly into the <small> span wrapper.
		tr.innerHTML = `
			<td>${p.outputs.map(o => o.ticker).join(', ')}</td>
			<td>${expertise[p.expertise]}</td>
			<td style="color: ${color(p.profit_per_base, 0, 150000)}">${formatSigFig(p.profit_per_base)} <span style="font-size: 0.85em; opacity: 0.6;">${pctProfit}</span></td>
			<td><span style="color: ${color(p.break_even, 30, 3)}">${formatSigFig(p.break_even)}</span>d <span style="font-size: 0.85em; opacity: 0.6;">${pctBreak}</span></td>
			<td style="color: ${color(p.capex_val, 3_000_000, 400_000)}">${formatSigFig(p.capex_val)} <span style="font-size: 0.85em; opacity: 0.6;">${pctCapex}</span></td>
			<td style="color: ${color(p.opex_val, 400_000, 10_000)}">${formatSigFig(p.opex_val)} <span style="font-size: 0.85em; opacity: 0.6;">${pctOpex}</span></td>
			<td style="color: ${color(p.normalized_logistics_per_base, 1.0, 0.1)}">${formatSigFig(p.logistics_per_base)} ${p.logistics_bottleneck} <span style="font-size: 0.85em; opacity: 0.6;">${pctLog}</span></td>
			<td style="color: ${color(p.market_capacity_base, 0.04, 1)}">${formatSigFig(p.market_capacity_base)} <span style="font-size: 0.85em; opacity: 0.6;">${pctCap}</span></td>
		`;

		const output = tr.querySelector('td')!;
		output.dataset.tooltip = p.recipe;

		const profitCell = tr.querySelectorAll('td')[2];
		const runs_per_base = p.runs_per_day / (p.area / 500);
		
		profitCell.dataset.tooltip = formatMatPrices(p.outputs, revenueMetric, runs_per_base) + '\n\n' +
			formatMatPrices(p.input_costs, opexMetric, runs_per_base) + '\n' +
			'+ worker consumables\n\n' +
			`(${formatSigFig(p.revenue_val)} - ${formatSigFig(p.opex_val)}) = ${formatSigFig(p.profit_per_base)}`;

		const capexCell = tr.querySelectorAll('td')[4];
		capexCell.dataset.tooltip = `Base Construction: ${formatSigFig(p.capex[capexMetric] / (p.area / 500))}`;
		
		if (workingCapitalOption !== 'omit') {
			capexCell.dataset.tooltip += `\nWorking Capital (${formatSigFig(p.activeWorkingCapitalDays)} days): ${formatSigFig(p.opex_val * p.activeWorkingCapitalDays)}`;
		}
		
		if (targetPermitOption !== 'omit' && p.hq_capex > 0) {
			capexCell.dataset.tooltip += `\nHQ Upgrade (Permit ${targetPermitOption}): ${formatSigFig(p.hq_capex)}`;
		}
		
		if (roundTripOption !== 'omit') {
			capexCell.dataset.tooltip += `\nShip CapEx: ${formatSigFig(p.activeShipCapex)} (${formatSigFig(p.shipsNeeded)} ships)`;
		}

		const marketCell = tr.querySelectorAll('td')[7];
		marketCell.dataset.tooltip = `Market Capacity: ${formatSigFig(p.average_traded_7d)} traded/day ÷ ${formatSigFig(p.output_per_day / (p.area / 500))} produced/day/base = ${formatSigFig(p.market_capacity_base)} equivalent bases`;

		tbody.appendChild(tr);
	}
	document.getElementById('last-updated')!.textContent =
		`last updated: ${lastModified.toLocaleString(undefined, {dateStyle: 'full', timeStyle: 'long', hour12: false})}`;

	saveState();
}

// EXTREME DETAIL: Overhauled function to calculate both Absolute and Relative Volume-Weighted Percentiles.
// To ensure the mathematical max bounds cleanly hit 100.0%, the denominator is extracted dynamically 
// relative to the highest data point present in the array.
function getPercentiles(val: number, sortedArr: {val: number, weight: number}[], invert: boolean = false): {abs: string, rel: string} {
	if (sortedArr.length < 2) return {abs: "100.0%", rel: "100.0%"};
	
	let lessCount = 0;
	let lessWeight = 0;
	
	for (let i = 0; i < sortedArr.length; i++) {
		if (sortedArr[i].val < val) {
			lessCount++;
			lessWeight += sortedArr[i].weight;
		} else {
			break; 
		}
	}
	
	const maxVal = sortedArr[sortedArr.length - 1].val;
	let maxLessCount = 0;
	let maxLessWeight = 0;
	
	for (let i = 0; i < sortedArr.length; i++) {
		if (sortedArr[i].val < maxVal) {
			maxLessCount++;
			maxLessWeight += sortedArr[i].weight;
		} else {
			break;
		}
	}

	let absDecimal = maxLessCount > 0 ? lessCount / maxLessCount : 1.0;
	let relDecimal = maxLessWeight > 0 ? lessWeight / maxLessWeight : 1.0;

	if (invert) {
		absDecimal = 1.0 - absDecimal;
		relDecimal = 1.0 - relDecimal;
	}
	
	return {
		abs: (absDecimal * 100).toFixed(1) + "%",
		rel: (relDecimal * 100).toFixed(1) + "%"
	};
}

function saveState() {
	localStorage.setItem('roi-cx', cxSelect.value);
	localStorage.setItem('roi-expertise', expertiseSelect.value);
	localStorage.setItem('roi-building', buildingSelect.value);
	localStorage.setItem('roi-low-volume', lowVolume.checked.toString());
	localStorage.setItem('roi-sort-key', currentSortKey);
	localStorage.setItem('roi-sort-asc', currentSortAsc.toString());
	localStorage.setItem('roi-capex-metric', capexMetric);
	localStorage.setItem('roi-opex-metric', opexMetric);
	localStorage.setItem('roi-revenue-metric', revenueMetric);
	localStorage.setItem('roi-show-negative', showNegativeProfit.toString());
	localStorage.setItem('roi-round-trip', roundTripOption);
	localStorage.setItem('roi-working-capital-opt', workingCapitalOption);
	localStorage.setItem('roi-target-permit', targetPermitOption);
	localStorage.setItem('roi-pct-mode', percentileMode);
}

function color(n: number, low: number, high: number): string {
	const scale = Math.min(Math.max((n - low) / (high - low), 0), 1);
	return `color-mix(in xyz, #0aa ${scale * 100}%, #f80)`;
}

function formatMatPrices(matPrices: MatPrice[], metric: MetricType, runs_per_day: number): string {
	return matPrices.map(({ticker, amount, vwap_7d, bid, ask}) => {
		const val = metric === 'vwap' ? vwap_7d : metric === 'bid' ? (bid ?? vwap_7d) : (ask ?? vwap_7d);
		const daily_amount = amount * runs_per_day;
		return `${ticker}: ${formatSigFig(daily_amount)} × ${formatSigFig(val)} = ${formatSigFig(daily_amount * val)}`;
	}).join('\n');
}

setupPopover();
lowVolume.addEventListener('change', render);
cxSelect.addEventListener('change', render);
expertiseSelect.addEventListener('change', render);
buildingSelect.addEventListener('change', render);
render();

interface Metrics {
	vwap: number;
	bid: number;
	ask: number;
}

interface Profit {
	outputs: MatPrice[]
	recipe: string
	expertise: keyof typeof expertise
	building: string
	area: number
	capex: Metrics
	opex: Metrics
	revenue: Metrics
	input_costs: MatPrice[]
	runs_per_day: number
	logistics_per_base: number
	normalized_logistics_per_base: number 
	logistics_bottleneck: string 
	output_per_day: number
	average_traded_7d: number
	market_capacity_base: number
	hq_costs: Record<string, Metrics>
}

interface ProfitWithMetrics extends Profit {
	capex_val: number;
	opex_val: number;
	revenue_val: number;
	profit_per_day: number;
	profit_per_base: number;
	break_even: number;
	hq_capex: number;
	activeWorkingCapitalDays: number; 
	activeShipCapex: number; 
	shipsNeeded: number; 
	market_cash_flow: number; // Exported weight tracker
}

interface MatPrice {
	ticker: string
	amount: number
	vwap_7d: number
	bid: number | null
	ask: number | null
}

interface Building {
	building_type: 'INFRASTRUCTURE' | 'PLANETARY' | 'PRODUCTION';
	building_ticker: string;
	expertise: keyof typeof expertise;
}