Files
livedash-node/lib/csvFetcher.ts
Kaj Kowalski 6d4055c4eb Improves dashboard with new metrics and charts
Enhances the dashboard with new key performance indicators (KPIs) and visualizations.

Introduces a new stat card component for displaying metrics with trends and icons.

Adds sentiment analysis, language distribution, and token usage charts to provide a more comprehensive overview of session data.

These additions provide deeper insights into user interactions and platform performance.
2025-05-22 01:00:46 +02:00

182 lines
4.6 KiB
TypeScript

// 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,
}));
}