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Replit Data Handling

replit-data-handling

Implement secure data handling on Replit: PostgreSQL, KV Database, Object

SKILL.md

Full skill instructions

Replit Data Handling

Overview

Manage application data securely across Replit's three storage systems: PostgreSQL (relational), Key-Value Database (simple cache/​state), and Object Storage (files/​blobs). Covers connection patterns, security, data validation, and choosing the right storage for each use case.

Prerequisites

  • Replit account with Workspace access
  • PostgreSQL provisioned in Database pane (for SQL use cases)
  • Understanding of Replit Secrets for credentials

Storage Decision Matrix

NeedStorageAPILimits
Structured data, queriesPostgreSQLpg npm / psycopg2Plan-dependent
Simple key-value, cacheReplit KV Database@replit/​database / replit.db50 MiB, 5K keys
Files, images, backupsObject Storage@replit/​object-storagePlan-dependent

Instructions

Step 1: PostgreSQL — Secure Connection

// src/​services/​database.ts
import { Pool, PoolConfig } from 'pg';

function createPool(): Pool {
  if (!process.env.DATABASE_URL) {
    throw new Error('DATABASE_URL not set. Create a database in the Database pane.');
  }

  const config: PoolConfig = {
    connectionString: process.env.DATABASE_URL,
    ssl: { rejectUnauthorized: false }, // Required for Replit PostgreSQL
    max: 10,
    idleTimeoutMillis: 30000,
    connectionTimeoutMillis: 5000,
  };

  const pool = new Pool(config);

  // Log errors without exposing connection string
  pool.on('error', (err) => {
    console.error('Database pool error:', err.message);
    // Never: console.error(err) — may contain credentials
  });

  return pool;
}

export const pool = createPool();

// Parameterized queries ONLY — never string concatenation
export async function findUser(userId: string) {
  // GOOD: parameterized
  const result = await pool.query(
    'SELECT id, username, created_at FROM users WHERE id = $1',
    [userId]
  );
  return result.rows[0];

  // BAD: SQL injection risk
  // pool.query(`SELECT * FROM users WHERE id = '${userId}'`)
}

Dev vs Production databases:

Replit auto-provisions separate databases:
- Development: used when running in Workspace ("Run" button)
- Production: used when accessed via deployment URL

View in Database pane:
- Development tab: test data, iterate freely
- Production tab: live customer data, handle with care

Both use the same DATABASE_URL — Replit routes automatically.

Step 2: Key-Value Database — Session & Cache

Node.js:

// src/​services/​cache.ts
import Database from '@replit/​database';

const db = new Database();

// Cache with TTL using KV
export async function cacheGet<T>(key: string): Promise<T | null> {
  const entry = await db.get(key) as { value: T; expiresAt: number } | null;
  if (!entry) return null;
  if (Date.now() > entry.expiresAt) {
    await db.delete(key);
    return null;
  }
  return entry.value;
}

export async function cacheSet<T>(key: string, value: T, ttlMs: number): Promise<void> {
  await db.set(key, { value, expiresAt: Date.now() + ttlMs });
}

// Session storage
export async function setSession(sessionId: string, data: any): Promise<void> {
  await db.set(`session:${sessionId}`, {
    ...data,
    createdAt: Date.now(),
  });
}

export async function getSession(sessionId: string): Promise<any> {
  return db.get(`session:${sessionId}`);
}

// Clean up expired sessions
export async function cleanSessions(): Promise<number> {
  const keys = await db.list('session:');
  let cleaned = 0;
  const oneDay = 24 * 60 * 60 * 1000;

  for (const key of keys) {
    const session = await db.get(key) as any;
    if (session && Date.now() - session.createdAt > oneDay) {
      await db.delete(key);
      cleaned++;
    }
  }
  return cleaned;
}

// Limits reminder: 50 MiB total, 5,000 keys, 1 KB/​key, 5 MiB/​value

Python:

from replit import db
import json, time

# Dict-like API
db["settings"] = {"theme": "dark", "lang": "en"}
settings = db["settings"]

# List keys by prefix
user_keys = db.prefix("user:")

# Delete
del db["old_key"]

# Cache pattern with TTL
def cache_set(key: str, value, ttl_seconds: int):
    db[f"cache:{key}"] = {
        "value": value,
        "expires_at": time.time() + ttl_seconds
    }

def cache_get(key: str):
    entry = db.get(f"cache:{key}")
    if not entry or time.time() > entry["expires_at"]:
        return None
    return entry["value"]

Step 3: Object Storage — File Uploads

Node.js:

// src/​services/​files.ts
import { Client } from '@replit/​object-storage';
import express from 'express';

const storage = new Client();
const router = express.Router();

// File upload endpoint
router.post('/​upload', express.raw({ limit: '10mb', type: '*/​*' }), async (req, res) => {
  const userId = req.headers['x-replit-user-id'] as string;
  if (!userId) return res.status(401).json({ error: 'Login required' });

  const filename = req.headers['x-filename'] as string || `file-${Date.now()}`;
  const path = `uploads/​${userId}/​${filename}`;

  await storage.uploadFromBytes(path, req.body);

  res.json({ path, size: req.body.length });
});

// File download
router.get('/​files/:userId/:filename', async (req, res) => {
  const path = `uploads/​${req.params.userId}/​${req.params.filename}`;

  try {
    const { value } = await storage.downloadAsBytes(path);
    res.send(Buffer.from(value));
  } catch {
    res.status(404).json({ error: 'File not found' });
  }
});

// List user files
router.get('/​files/:userId', async (req, res) => {
  const objects = await storage.list({ prefix: `uploads/​${req.params.userId}/` });
  res.json(objects.map(o => ({ name: o.name })));
});

export default router;

Python:

from replit.object_storage import Client

storage = Client()

# Upload
storage.upload_from_text("reports/​daily.json", json.dumps(report))
storage.upload_from_filename("backups/​db.sql", "/​tmp/​dump.sql")

# Download
content = storage.download_as_text("reports/​daily.json")
storage.download_to_filename("backups/​db.sql", "/​tmp/​restore.sql")

# Check existence
if storage.exists("reports/​daily.json"):
    storage.delete("reports/​daily.json")

Step 4: Data Sanitization

// src/​middleware/​sanitize.ts
import { z } from 'zod';

// Validate all input with Zod schemas
const UserInputSchema = z.object({
  name: z.string().min(1).max(100).trim(),
  email: z.string().email().toLowerCase(),
  message: z.string().max(5000).trim(),
});

export function validateInput<T>(schema: z.ZodType<T>, data: unknown) {
  const result = schema.safeParse(data);
  if (!result.success) {
    return { valid: false as const, errors: result.error.flatten().fieldErrors };
  }
  return { valid: true as const, data: result.data };
}

// Strip sensitive fields from responses
export function sanitizeUser(user: any) {
  const { password_hash, email, phone, ...safe } = user;
  return safe;
}

// Safe logging — redact sensitive fields
export function safeLog(message: string, data?: any) {
  if (!data) return console.log(message);

  const redacted = JSON.parse(JSON.stringify(data, (key, value) => {
    if (['password', 'token', 'secret', 'api_key', 'ssn'].includes(key.toLowerCase())) {
      return '[REDACTED]';
    }
    return value;
  }));

  console.log(message, redacted);
}

Step 5: Error Response Safety

// Never expose internal details in production
app.use((err: Error, req: any, res: any, next: any) => {
  safeLog('Error:', { message: err.message, path: req.path });

  const isProduction = process.env.NODE_ENV === 'production';
  res.status(500).json({
    error: isProduction ? 'Internal server error' : err.message,
    ...(isProduction ? {} : { stack: err.stack }),
  });
});

Error Handling

IssueCauseSolution
DATABASE_URL undefinedPostgreSQL not createdProvision in Database pane
KV Max storage exceededOver 50 MiBMigrate to PostgreSQL or Object Storage
Object Storage 403Bucket not provisionedCreate in Object Storage pane
SQL injectionString concatenationUse parameterized queries ($1, $2)
PII in logsFull object loggingUse safeLog() with field redaction

Resources

Next Steps

For team access control, see replit-enterprise-rbac.

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