Clicks Timeline

const fetch = require('node-fetch');

const response = await fetch(
  'https://jmpy.me/api/v1/analytics/timeline?days=30&granularity=day',
  {
    headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
  }
);
const data = await response.json();

// Calculate totals
const totalClicks = data.data.reduce((sum, d) => sum + d.clicks, 0);
const totalVisitors = data.data.reduce((sum, d) => sum + d.unique_visitors, 0);

console.log(`Last 30 Days: ${totalClicks} clicks, ${totalVisitors} unique visitors`);

// Find peak day
const peakDay = data.data.reduce((max, d) => d.clicks > max.clicks ? d : max);
console.log(`Peak Day: ${peakDay.date} with ${peakDay.clicks} clicks`);

import axios from 'axios';

interface TimelinePoint {
  date: string;
  clicks: number;
  unique_visitors: number;
}

const response = await axios.get<{ success: boolean; data: TimelinePoint[] }>(
  'https://jmpy.me/api/v1/analytics/timeline',
  {
    headers: { 'Authorization': 'Bearer YOUR_API_KEY' },
    params: { days: 30, granularity: 'day' }
  }
);

// Prepare for chart library (e.g., Chart.js, Recharts)
const chartData = response.data.data.map(point => ({
  date: new Date(point.date).toLocaleDateString(),
  clicks: point.clicks,
  visitors: point.unique_visitors
}));

console.log('Chart data ready:', chartData.length, 'points');

import requests
import matplotlib.pyplot as plt
from datetime import datetime

response = requests.get(
    'https://jmpy.me/api/v1/analytics/timeline',
    headers={'Authorization': 'Bearer YOUR_API_KEY'},
    params={'days': 30, 'granularity': 'day'}
)

timeline = response.json()['data']

# Parse dates and values
dates = [datetime.fromisoformat(p['date'].replace('Z', '+00:00')) for p in timeline]
clicks = [p['clicks'] for p in timeline]
visitors = [p['unique_visitors'] for p in timeline]

# Create chart
plt.figure(figsize=(12, 6))
plt.plot(dates, clicks, label='Clicks', color='blue')
plt.plot(dates, visitors, label='Unique Visitors', color='green')
plt.xlabel('Date')
plt.ylabel('Count')
plt.title('Click Timeline - Last 30 Days')
plt.legend()
plt.xticks(rotation=45)
plt.tight_layout()
plt.savefig('timeline.png')
print("Chart saved to timeline.png")

<?php
$client = new GuzzleHttp\Client();

$response = $client->request('GET', 'https://jmpy.me/api/v1/analytics/timeline', [
    'headers' => [
        'Authorization' => 'Bearer YOUR_API_KEY'
    ],
    'query' => [
        'days' => 30,
        'granularity' => 'day'
    ]
]);

$timeline = json_decode($response->getBody(), true)['data'];

// Calculate stats
$totalClicks = array_sum(array_column($timeline, 'clicks'));
$avgClicks = $totalClicks / count($timeline);

echo "Timeline Summary (Last 30 Days)\n";
echo "================================\n";
echo "Total Clicks: $totalClicks\n";
echo "Average Daily Clicks: " . round($avgClicks, 1) . "\n";
echo "Data Points: " . count($timeline) . "\n";
?>

package main

import (
    "fmt"
    "net/http"
    "net/url"
    "io"
)

func main() {
    baseURL := "https://jmpy.me/api/v1/analytics/timeline"
    params := url.Values{}
    params.Add("days", "30")
    params.Add("granularity", "day")

    req, _ := http.NewRequest("GET", baseURL+"?"+params.Encode(), nil)
    req.Header.Add("Authorization", "Bearer YOUR_API_KEY")

    resp, _ := http.DefaultClient.Do(req)
    defer resp.Body.Close()
    
    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.URI;
import java.net.http.HttpResponse;

String url = "https://jmpy.me/api/v1/analytics/timeline?days=30&granularity=day";

HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create(url))
    .header("Authorization", "Bearer YOUR_API_KEY")
    .GET()
    .build();

HttpResponse<String> response = client.send(request, 
    HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

{
  "success": true,
  "data": [
    {
      "date": "2024-01-07T00:00:00.000Z",
      "clicks": 12,
      "unique_visitors": 10
    },
    {
      "date": "2024-01-07T01:00:00.000Z",
      "clicks": 8,
      "unique_visitors": 7
    },
    {
      "date": "2024-01-07T02:00:00.000Z",
      "clicks": 5,
      "unique_visitors": 5
    },
    {
      "date": "2024-01-07T09:00:00.000Z",
      "clicks": 45,
      "unique_visitors": 38
    },
    {
      "date": "2024-01-07T10:00:00.000Z",
      "clicks": 67,
      "unique_visitors": 54
    }
  ]
}

{
  "success": false,
  "error": {
    "code": "UNAUTHORIZED",
    "message": "User authentication required"
  }
}