158 lines
4.0 KiB
TypeScript
158 lines
4.0 KiB
TypeScript
import { subWeeks, subMonths, subYears } from 'date-fns';
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import type { TimeRange, ChartDataPoint } from '@/lib/types';
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/**
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* Filter chart data by time range
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*/
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export function filterByTimeRange<T extends ChartDataPoint>(
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data: T[],
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range: TimeRange
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): T[] {
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if (data.length === 0) return data;
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const now = new Date();
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const cutoffDate = {
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'1W': subWeeks(now, 1),
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'1M': subMonths(now, 1),
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'3M': subMonths(now, 3),
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'1Y': subYears(now, 1),
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'3Y': subYears(now, 3),
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'5Y': subYears(now, 5),
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'10Y': subYears(now, 10),
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'20Y': subYears(now, 20)
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}[range];
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return data.filter(point => new Date(point.date) >= cutoffDate);
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}
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/**
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* Check if data point has OHLCV fields
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*/
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export function isOHLCVData(data: ChartDataPoint): data is {
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date: string;
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open: number;
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high: number;
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low: number;
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close: number;
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volume: number;
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} {
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return 'open' in data && 'high' in data && 'low' in data && 'close' in data && 'volume' in data;
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}
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/**
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* Check if data point has simple price field
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*/
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export function isPriceData(data: ChartDataPoint): data is { date: string; price: number } {
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return 'price' in data;
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}
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/**
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* Normalize data to ensure consistent structure
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* Converts price data to OHLCV-like structure for candlestick charts
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*/
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export function normalizeChartData<T extends ChartDataPoint>(data: T[]): T[] {
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if (!data || data.length === 0) return [];
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// Sort by date ascending
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return [...data].sort((a, b) =>
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new Date(a.date).getTime() - new Date(b.date).getTime()
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);
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}
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/**
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* Sample data for performance with large datasets
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* Keeps every Nth point when dataset is too large
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*/
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export function sampleData<T extends ChartDataPoint>(
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data: T[],
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maxPoints: number = 1000
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): T[] {
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if (data.length <= maxPoints) return data;
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const samplingRate = Math.ceil(data.length / maxPoints);
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const sampled: T[] = [];
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for (let i = 0; i < data.length; i += samplingRate) {
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sampled.push(data[i]);
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}
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// Always include the last point
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if (sampled[sampled.length - 1] !== data[data.length - 1]) {
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sampled.push(data[data.length - 1]);
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}
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return sampled;
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}
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/**
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* Calculate min/max values for Y-axis domain
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*/
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export function calculateYAxisDomain<T extends ChartDataPoint>(
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data: T[],
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padding: number = 0.1
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): [number, number] {
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if (data.length === 0) return [0, 100];
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let min = Infinity;
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let max = -Infinity;
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data.forEach(point => {
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if (isOHLCVData(point)) {
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min = Math.min(min, point.low);
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max = Math.max(max, point.high);
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} else if (isPriceData(point)) {
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min = Math.min(min, point.price);
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max = Math.max(max, point.price);
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}
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});
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// Add padding
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const range = max - min;
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const paddedMin = min - (range * padding);
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const paddedMax = max + (range * padding);
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return [paddedMin, paddedMax];
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}
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/**
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* Calculate volume max for volume indicator Y-axis
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*/
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export function calculateVolumeMax<T extends ChartDataPoint>(data: T[]): number {
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if (data.length === 0 || !isOHLCVData(data[0])) return 0;
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return Math.max(...data.map(d => (isOHLCVData(d) ? d.volume : 0)));
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}
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/**
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* Merge multiple data series by date for combination charts
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*/
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export function mergeDataSeries<T extends ChartDataPoint>(
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seriesArray: Array<{ id: string; data: T[] }>
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): Array<T & Record<string, number>> {
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if (!seriesArray || seriesArray.length === 0) return [];
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// Create map indexed by date
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const dateMap = new Map<string, T & Record<string, number>>();
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seriesArray.forEach(series => {
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series.data.forEach(point => {
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const date = point.date;
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const existing = dateMap.get(date) || { date } as T & Record<string, number>;
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// Add value for this series
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if (isOHLCVData(point)) {
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existing[series.id] = point.close;
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} else if (isPriceData(point)) {
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existing[series.id] = point.price;
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}
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dateMap.set(date, existing);
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});
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});
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// Convert to array and sort by date
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return Array.from(dateMap.values()).sort((a, b) =>
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new Date(a.date).getTime() - new Date(b.date).getTime()
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);
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}
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