Files
livedash-node/lib/csvFetcher.ts

83 lines
2.5 KiB
TypeScript

// Simplified CSV fetcher - fetches and parses CSV data without any processing
// Maps directly to SessionImport table fields
import fetch from "node-fetch";
import { parse } from "csv-parse/sync";
// Raw CSV data interface matching SessionImport schema
interface RawSessionImport {
externalSessionId: string;
startTimeRaw: string;
endTimeRaw: string;
ipAddress: string | null;
countryCode: string | null;
language: string | null;
messagesSent: number | null;
sentimentRaw: string | null;
escalatedRaw: string | null;
forwardedHrRaw: string | null;
fullTranscriptUrl: string | null;
avgResponseTimeSeconds: number | null;
tokens: number | null;
tokensEur: number | null;
category: string | null;
initialMessage: string | null;
}
/**
* Fetches and parses CSV data from a URL without any processing
* Maps CSV columns by position to SessionImport fields
* @param url The CSV URL
* @param username Optional username for authentication
* @param password Optional password for authentication
* @returns Array of raw session import data
*/
export async function fetchAndParseCsv(
url: string,
username?: string,
password?: string
): Promise<RawSessionImport[]> {
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.status} ${res.statusText}`);
}
const text = await res.text();
// Parse CSV without headers, using positional column mapping
const records: string[][] = parse(text, {
delimiter: ",",
from_line: 1, // Start from first line (no headers)
relax_column_count: true,
skip_empty_lines: true,
trim: true,
});
// Map CSV columns by position to SessionImport fields
return records.map((row) => ({
externalSessionId: row[0] || "",
startTimeRaw: row[1] || "",
endTimeRaw: row[2] || "",
ipAddress: row[3] || null,
countryCode: row[4] || null,
language: row[5] || null,
messagesSent: row[6] ? parseInt(row[6], 10) || null : null,
sentimentRaw: row[7] || null,
escalatedRaw: row[8] || null,
forwardedHrRaw: row[9] || null,
fullTranscriptUrl: row[10] || null,
avgResponseTimeSeconds: row[11] ? parseFloat(row[11]) || null : null,
tokens: row[12] ? parseInt(row[12], 10) || null : null,
tokensEur: row[13] ? parseFloat(row[13]) || null : null,
category: row[14] || null,
initialMessage: row[15] || null,
}));
}