96 lines
2.4 KiB
TypeScript
96 lines
2.4 KiB
TypeScript
// Minimum transactions in a group to be displayed
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export const MIN_GROUP_SIZE = 1;
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// Common words to filter out when suggesting keywords
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export const STOP_WORDS = [
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"de",
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"du",
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"la",
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"le",
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"les",
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"des",
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"un",
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"une",
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"et",
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"ou",
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"par",
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"pour",
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"avec",
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"sur",
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"dans",
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"en",
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"au",
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"aux",
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"ce",
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"cette",
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"ces",
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"mon",
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"ma",
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"mes",
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"ton",
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"ta",
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"tes",
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"son",
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"sa",
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"ses",
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"notre",
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"nos",
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"votre",
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"vos",
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"leur",
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"leurs",
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];
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// Function to normalize transaction descriptions for grouping
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export function normalizeDescription(description: string): string {
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return description
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.toLowerCase()
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.replace(/\d{2}\/\d{2}\/\d{4}/g, "") // Remove dates
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.replace(/\d{2}-\d{2}-\d{4}/g, "") // Remove dates
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.replace(/\d+[.,]\d+/g, "") // Remove amounts
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.replace(/carte \*+\d+/gi, "CARTE") // Normalize card numbers
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.replace(/cb\*+\d+/gi, "CB") // Normalize CB numbers
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.replace(/\s+/g, " ") // Normalize spaces
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.replace(/[^\w\s]/g, " ") // Remove special chars
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.trim();
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}
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// Extract meaningful keywords from description
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export function extractKeywords(description: string): string[] {
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const normalized = normalizeDescription(description);
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const words = normalized.split(/\s+/);
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return words
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.filter((word) => word.length > 2)
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.filter((word) => !STOP_WORDS.includes(word.toLowerCase()))
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.filter((word) => !/^\d+$/.test(word)); // Remove pure numbers
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}
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// Suggest a keyword based on common patterns in descriptions
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export function suggestKeyword(descriptions: string[]): string {
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// Find common substrings
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const keywords = descriptions.flatMap(extractKeywords);
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const frequency: Record<string, number> = {};
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keywords.forEach((keyword) => {
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frequency[keyword] = (frequency[keyword] || 0) + 1;
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});
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// Find the most frequent keyword that appears in most descriptions
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const sorted = Object.entries(frequency)
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.filter(([_, count]) => count >= Math.ceil(descriptions.length * 0.5))
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.sort((a, b) => b[1] - a[1]);
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if (sorted.length > 0) {
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// Return the longest frequent keyword
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return sorted.reduce((best, current) =>
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current[0].length > best[0].length ? current : best
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)[0];
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}
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// Fallback: first meaningful word from first description
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const firstKeywords = extractKeywords(descriptions[0]);
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return firstKeywords[0] || descriptions[0].slice(0, 15);
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}
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