Files
livedash-node/lib/csvFetcher.ts
Kaj Kowalski 52fbae23ba Improves dashboard data handling and settings
Refactors the dashboard to improve data fetching, error handling, and overall user experience.

- Prevents errors on refresh by validating company ID.
- Improves date handling from CSV by using a `safeParseDate` function to avoid "Invalid Date" errors.
- Adds a timestamp for when metrics were last updated.
- Fixes a bug where the refresh was failing silently.
- Improves settings page by wrapping form elements with form tags.
- Adds autocomplete attributes on settings page.
- Adds database files to `.gitignore`.
2025-05-21 22:28:31 +02:00

119 lines
3.1 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;
}
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: r.sentiment ? parseFloat(r.sentiment) : null,
escalated: r.escalated === "1" || r.escalated === "true",
forwardedHr: r.forwarded_hr === "1" || r.forwarded_hr === "true",
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,
}));
}