My-Free-LLM-API / server /src /routes /analytics.ts
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import { Router } from 'express';
import type { Request, Response } from 'express';
import { getDb } from '../db/index.js';
export const analyticsRouter = Router();
// Map range to a JS-computed ISO timestamp passed as a bind parameter,
// so the SQL string never includes user-controlled fragments.
function getSinceTimestamp(range: string): string {
const now = Date.now();
switch (range) {
case '24h':
return new Date(now - 24 * 60 * 60 * 1000).toISOString();
case '30d':
return new Date(now - 30 * 24 * 60 * 60 * 1000).toISOString();
case '7d':
default:
return new Date(now - 7 * 24 * 60 * 60 * 1000).toISOString();
}
}
// Summary stats
analyticsRouter.get('/summary', (req: Request, res: Response) => {
const range = (req.query.range as string) ?? '7d';
const since = getSinceTimestamp(range);
const db = getDb();
const stats = db.prepare(`
SELECT
COUNT(*) as total_requests,
SUM(CASE WHEN status = 'success' THEN 1 ELSE 0 END) as success_count,
SUM(input_tokens) as total_input_tokens,
SUM(output_tokens) as total_output_tokens,
AVG(latency_ms) as avg_latency_ms
FROM requests
WHERE created_at >= ?
`).get(since) as any;
const totalRequests = stats.total_requests ?? 0;
const successRate = totalRequests > 0 ? (stats.success_count / totalRequests) * 100 : 0;
const totalTokens = (stats.total_input_tokens ?? 0) + (stats.total_output_tokens ?? 0);
// Estimate cost savings: average ~$3/M input + $15/M output tokens (GPT-4o pricing)
const inputCost = ((stats.total_input_tokens ?? 0) / 1_000_000) * 3;
const outputCost = ((stats.total_output_tokens ?? 0) / 1_000_000) * 15;
res.json({
totalRequests,
successRate: Math.round(successRate * 10) / 10,
totalInputTokens: stats.total_input_tokens ?? 0,
totalOutputTokens: stats.total_output_tokens ?? 0,
avgLatencyMs: Math.round(stats.avg_latency_ms ?? 0),
estimatedCostSavings: Math.round((inputCost + outputCost) * 100) / 100,
});
});
// Stats grouped by model
analyticsRouter.get('/by-model', (req: Request, res: Response) => {
const range = (req.query.range as string) ?? '7d';
const since = getSinceTimestamp(range);
const db = getDb();
const rows = db.prepare(`
SELECT
r.platform,
r.model_id,
m.display_name,
COUNT(*) as requests,
SUM(CASE WHEN r.status = 'success' THEN 1 ELSE 0 END) * 100.0 / COUNT(*) as success_rate,
AVG(r.latency_ms) as avg_latency_ms,
SUM(r.input_tokens) as total_input_tokens,
SUM(r.output_tokens) as total_output_tokens
FROM requests r
LEFT JOIN models m ON m.platform = r.platform AND m.model_id = r.model_id
WHERE r.created_at >= ?
GROUP BY r.platform, r.model_id
ORDER BY requests DESC
`).all(since) as any[];
res.json(rows.map(r => ({
platform: r.platform,
modelId: r.model_id,
displayName: r.display_name ?? r.model_id,
requests: r.requests,
successRate: Math.round(r.success_rate * 10) / 10,
avgLatencyMs: Math.round(r.avg_latency_ms),
totalInputTokens: r.total_input_tokens ?? 0,
totalOutputTokens: r.total_output_tokens ?? 0,
})));
});
// Stats grouped by platform
analyticsRouter.get('/by-platform', (req: Request, res: Response) => {
const range = (req.query.range as string) ?? '7d';
const since = getSinceTimestamp(range);
const db = getDb();
const rows = db.prepare(`
SELECT
platform,
COUNT(*) as requests,
SUM(CASE WHEN status = 'success' THEN 1 ELSE 0 END) * 100.0 / COUNT(*) as success_rate,
AVG(latency_ms) as avg_latency_ms,
SUM(input_tokens) as total_input_tokens,
SUM(output_tokens) as total_output_tokens
FROM requests
WHERE created_at >= ?
GROUP BY platform
ORDER BY requests DESC
`).all(since) as any[];
res.json(rows.map(r => ({
platform: r.platform,
requests: r.requests,
successRate: Math.round(r.success_rate * 10) / 10,
avgLatencyMs: Math.round(r.avg_latency_ms),
totalInputTokens: r.total_input_tokens ?? 0,
totalOutputTokens: r.total_output_tokens ?? 0,
})));
});
// Timeline data
analyticsRouter.get('/timeline', (req: Request, res: Response) => {
const range = (req.query.range as string) ?? '7d';
const interval = (req.query.interval as string) ?? (range === '24h' ? 'hour' : 'day');
const since = getSinceTimestamp(range);
const db = getDb();
// dateFormat is a hardcoded whitelist — never user-controlled.
const dateFormat = interval === 'hour' ? '%Y-%m-%dT%H:00:00' : '%Y-%m-%d';
const rows = db.prepare(`
SELECT
strftime('${dateFormat}', created_at) as timestamp,
COUNT(*) as requests,
SUM(CASE WHEN status = 'success' THEN 1 ELSE 0 END) as success_count,
SUM(CASE WHEN status = 'error' THEN 1 ELSE 0 END) as failure_count
FROM requests
WHERE created_at >= ?
GROUP BY strftime('${dateFormat}', created_at)
ORDER BY timestamp ASC
`).all(since) as any[];
res.json(rows.map(r => ({
timestamp: r.timestamp,
requests: r.requests,
successCount: r.success_count,
failureCount: r.failure_count,
})));
});
// Error distribution (grouped by error type and platform)
analyticsRouter.get('/error-distribution', (req: Request, res: Response) => {
const range = (req.query.range as string) ?? '7d';
const since = getSinceTimestamp(range);
const db = getDb();
// Group errors by category (extract the key part of the error message)
const rows = db.prepare(`
SELECT
platform,
model_id,
CASE
WHEN error LIKE '%429%' OR error LIKE '%rate limit%' OR error LIKE '%too many%' OR error LIKE '%quota%' THEN 'Rate Limited (429)'
WHEN error LIKE '%401%' OR error LIKE '%unauthorized%' OR error LIKE '%invalid.*key%' THEN 'Auth Error (401)'
WHEN error LIKE '%403%' OR error LIKE '%forbidden%' THEN 'Forbidden (403)'
WHEN error LIKE '%404%' OR error LIKE '%not found%' THEN 'Not Found (404)'
WHEN error LIKE '%timeout%' OR error LIKE '%ETIMEDOUT%' OR error LIKE '%ECONNREFUSED%' THEN 'Timeout/Connection'
WHEN error LIKE '%500%' OR error LIKE '%internal server%' THEN 'Server Error (500)'
WHEN error LIKE '%503%' OR error LIKE '%unavailable%' THEN 'Unavailable (503)'
ELSE 'Other'
END as error_category,
COUNT(*) as count
FROM requests
WHERE status = 'error' AND created_at >= ?
GROUP BY platform, error_category
ORDER BY count DESC
`).all(since) as any[];
// Also get totals by category
const byCategory = db.prepare(`
SELECT
CASE
WHEN error LIKE '%429%' OR error LIKE '%rate limit%' OR error LIKE '%too many%' OR error LIKE '%quota%' THEN 'Rate Limited (429)'
WHEN error LIKE '%401%' OR error LIKE '%unauthorized%' OR error LIKE '%invalid.*key%' THEN 'Auth Error (401)'
WHEN error LIKE '%403%' OR error LIKE '%forbidden%' THEN 'Forbidden (403)'
WHEN error LIKE '%404%' OR error LIKE '%not found%' THEN 'Not Found (404)'
WHEN error LIKE '%timeout%' OR error LIKE '%ETIMEDOUT%' OR error LIKE '%ECONNREFUSED%' THEN 'Timeout/Connection'
WHEN error LIKE '%500%' OR error LIKE '%internal server%' THEN 'Server Error (500)'
WHEN error LIKE '%503%' OR error LIKE '%unavailable%' THEN 'Unavailable (503)'
ELSE 'Other'
END as category,
COUNT(*) as count
FROM requests
WHERE status = 'error' AND created_at >= ?
GROUP BY category
ORDER BY count DESC
`).all(since) as any[];
// Errors by platform
const byPlatform = db.prepare(`
SELECT platform, COUNT(*) as count
FROM requests
WHERE status = 'error' AND created_at >= ?
GROUP BY platform
ORDER BY count DESC
`).all(since) as any[];
res.json({
byCategory,
byPlatform,
detailed: rows,
});
});
// Recent errors
analyticsRouter.get('/errors', (req: Request, res: Response) => {
const range = (req.query.range as string) ?? '7d';
const since = getSinceTimestamp(range);
const db = getDb();
const rows = db.prepare(`
SELECT id, platform, model_id, error, latency_ms, created_at
FROM requests
WHERE status = 'error' AND created_at >= ?
ORDER BY created_at DESC
LIMIT 50
`).all(since) as any[];
res.json(rows.map(r => ({
id: r.id,
platform: r.platform,
modelId: r.model_id,
error: r.error,
latencyMs: r.latency_ms,
createdAt: r.created_at,
})));
});