import axios from 'axios';
import { config } from '../config.js';
import { YAPSScore } from '../types.js';
// Function to extract username from handle (removing @ if present)
const normalizeUsername = (username: string): string => {
return username.startsWith('@') ? username.substring(1) : username;
};
// Fetch YAPS score from Kaito API
export const getYapsScore = async (username: string): Promise<YAPSScore> => {
const normalizedUsername = normalizeUsername(username);
try {
// Prepare headers
const headers: Record<string, string> = {
'Content-Type': 'application/json'
};
// Make the API request
const response = await axios.get(`${config.YAPS_API_ENDPOINT}?username=${normalizedUsername}`, { headers });
if (response.status !== 200) {
throw new Error(`Failed to fetch YAPS score: ${response.statusText}`);
}
// Process the response data to match our YAPSScore interface
const data = response.data;
// Calculate percentile (assuming this is based on some business logic)
// This is a simplified approach
const percentile = calculatePercentile(data.yaps_l30d);
// Determine qualitative label based on percentile
const qualitativeLabel = getQualitativeLabel(percentile);
const yapsScore: YAPSScore = {
user_id: data.user_id,
username: normalizedUsername,
yaps_all: data.yaps_all,
yaps_l24h: data.yaps_l24h,
yaps_l7d: data.yaps_l7d,
yaps_l30d: data.yaps_l30d,
percentile,
qualitative_label: qualitativeLabel
};
return yapsScore;
} catch (error) {
console.error(`Error fetching YAPS score for ${normalizedUsername}:`, error);
throw new Error(`Failed to fetch YAPS score for ${normalizedUsername}`);
}
};
// Calculate percentile based on YAPS score
// This is a simplified placeholder implementation
const calculatePercentile = (score: number): number => {
// This would typically involve more complex logic based on historical data
// For demonstration, we'll use a simplified approach
if (score > 1000) return 99;
if (score > 500) return 95;
if (score > 250) return 90;
if (score > 100) return 75;
if (score > 50) return 50;
if (score > 25) return 25;
return 10;
};
// Get qualitative label based on percentile
const getQualitativeLabel = (percentile: number): string => {
if (percentile >= 99) return 'Legendary';
if (percentile >= 95) return 'Elite';
if (percentile >= 90) return 'Outstanding';
if (percentile >= 75) return 'Excellent';
if (percentile >= 50) return 'Good';
if (percentile >= 25) return 'Average';
return 'Developing';
};
