livedash-node/lib/csvFetcher.ts

// Fetches, parses, and returns chat session data for a company from a CSV URL
import fetch from "node-fetch";
import { parse } from "csv-parse/sync";

// This type is used internally for parsing the CSV records
interface CSVRecord {
  session_id: string;
  start_time: string;
  end_time?: string;
  ip_address?: string;
  country?: string;
  language?: string;
  messages_sent?: string;
  sentiment?: string;
  escalated?: string;
  forwarded_hr?: string;
  full_transcript_url?: string;
  avg_response_time?: string;
  tokens?: string;
  tokens_eur?: string;
  category?: string;
  initial_msg?: string;
  [key: string]: string | undefined;
}

interface SessionData {
  id: string;
  sessionId: string;
  startTime: Date;
  endTime: Date | null;
  ipAddress?: string;
  country?: string;
  language?: string | null;
  messagesSent: number;
  sentiment: number | null;
  escalated: boolean;
  forwardedHr: boolean;
  fullTranscriptUrl?: string | null;
  avgResponseTime: number | null;
  tokens: number;
  tokensEur: number;
  category?: string | null;
  initialMsg?: string;
}

/**
 * Converts sentiment string values to numeric scores
 * @param sentimentStr The sentiment string from the CSV
 * @returns A numeric score representing the sentiment
 */
function mapSentimentToScore(sentimentStr?: string): number | null {
    if (!sentimentStr) return null;

    // Convert to lowercase for case-insensitive matching
    const sentiment = sentimentStr.toLowerCase();

    // Map sentiment strings to numeric values on a scale from -1 to 2
    const sentimentMap: Record<string, number> = {
        'happy': 1.0,
        'excited': 1.5,
        'positive': 0.8,
        'neutral': 0.0,
        'playful': 0.7,
        'negative': -0.8,
        'angry': -1.0,
        'sad': -0.7,
        'frustrated': -0.9,
        'positief': 0.8,  // Dutch
        'neutraal': 0.0,  // Dutch
        'negatief': -0.8, // Dutch
        'positivo': 0.8,  // Spanish/Italian
        'neutro': 0.0,    // Spanish/Italian
        'negativo': -0.8, // Spanish/Italian
        'yes': 0.5,       // For any "yes" sentiment
        'no': -0.5,       // For any "no" sentiment
    };

    return sentimentMap[sentiment] !== undefined
        ? sentimentMap[sentiment]
        : isNaN(parseFloat(sentiment)) ? null : parseFloat(sentiment);
}

/**
 * Checks if a string value should be considered as boolean true
 * @param value The string value to check
 * @returns True if the string indicates a positive/true value
 */
function isTruthyValue(value?: string): boolean {
    if (!value) return false;

    const truthyValues = [
        '1', 'true', 'yes', 'y', 'ja', 'si', 'oui', 'да', 'да', 'はい'
    ];

    return truthyValues.includes(value.toLowerCase());
}

export async function fetchAndParseCsv(
  url: string,
  username?: string,
  password?: string,
): Promise<Partial<SessionData>[]> {
  const authHeader =
    username && password
      ? "Basic " + Buffer.from(`${username}:${password}`).toString("base64")
      : undefined;

  const res = await fetch(url, {
    headers: authHeader ? { Authorization: authHeader } : {},
  });
  if (!res.ok) throw new Error("Failed to fetch CSV: " + res.statusText);

  const text = await res.text();

  // Parse without expecting headers, using known order
  const records: CSVRecord[] = parse(text, {
    delimiter: ",",
    columns: [
      "session_id",
      "start_time",
      "end_time",
      "ip_address",
      "country",
      "language",
      "messages_sent",
      "sentiment",
      "escalated",
      "forwarded_hr",
      "full_transcript_url",
      "avg_response_time",
      "tokens",
      "tokens_eur",
      "category",
      "initial_msg",
    ],
    from_line: 1,
    relax_column_count: true,
    skip_empty_lines: true,
    trim: true,
  });

  // Helper function to safely parse dates
  function safeParseDate(dateStr?: string): Date | null {
    if (!dateStr) return null;
    const date = new Date(dateStr);
    return !isNaN(date.getTime()) ? date : null;
  }

  // Coerce types for relevant columns
  return records.map((r) => ({
    id: r.session_id,
    startTime: safeParseDate(r.start_time) || new Date(), // Fallback to current date if invalid
    endTime: safeParseDate(r.end_time),
    ipAddress: r.ip_address,
    country: r.country,
    language: r.language,
    messagesSent: Number(r.messages_sent) || 0,
      sentiment: mapSentimentToScore(r.sentiment),
      escalated: isTruthyValue(r.escalated),
      forwardedHr: isTruthyValue(r.forwarded_hr),
    fullTranscriptUrl: r.full_transcript_url,
    avgResponseTime: r.avg_response_time
      ? parseFloat(r.avg_response_time)
      : null,
    tokens: Number(r.tokens) || 0,
    tokensEur: r.tokens_eur ? parseFloat(r.tokens_eur) : 0,
    category: r.category,
    initialMsg: r.initial_msg,
  }));
}