RekLog Request

Request logging and performance monitoring for Node.js & Browser applications

npm install reklog-request

or

yarn add reklog-request

---

Getting API Key

1. Sign up at reklog.com
2. Create a new project
3. Copy your API key (starts with rkl_)

---

Usage

Initialize

const reklog = require('reklog-request');

const logger = reklog.init('rkl_your_api_key', {
  environment: 'production',
  host: 'https://api.example.com',
  debug: false
});

Manual Logging with start() and end()

Track external API calls or custom operations:

async function fetchUsers() {
  const logId = logger.start('/api/users', 'GET');

  try {
    const response = await fetch('https://api.example.com/users');
    const data = await response.json();

    await logger.end(logId, {
      statusCode: response.status,
      params: { page: 1, limit: 10 },
      response: data
    });

    return data;
  } catch (error) {
    await logger.end(logId, {
      statusCode: 500,
      metadata: { error: error.message }
    });
    throw error;
  }
}

Express Middleware

Automatically log all requests:

const express = require('express');
const reklog = require('reklog-request');

const app = express();
app.use(express.json());

const logger = reklog.init('rkl_your_api_key');
app.use(logger.middleware());

app.get('/api/users', (req, res) => {
  res.json({ users: [] });
});

app.listen(3000);

---

API Reference

init(apiKey, options)

Initialize RekLog instance.

Option	Type	Default	Description
apiKey	string	required	Your RekLog API key
apiUrl	string	https://api.reklog.com/api	API endpoint URL
environment	string	development	Environment name
host	string	null	Host identifier for requests
debug	boolean	false	Enable debug logging
retryAttempts	number	3	Retry attempts on failure
retryDelay	number	1000	Delay between retries (ms)
maskFields	array	[]	Fields to mask

---

Data Privacy & Field Masking

RekLog can mask sensitive data to protect user privacy and comply with data protection regulations. Sensitive field values are replaced with ******** before being sent to the server.

Configuring Fields to Mask

Use the maskFields option to specify which fields should be masked:

const logger = reklog.init('rkl_your_api_key', {
  maskFields: ['password', 'token', 'secret', 'api_key', 'credit_card', 'cvv', 'ssn']
});

How It Works

Field masking is:

• Case-insensitive: Password, PASSWORD, and password are all masked
• Recursive: Works on nested objects at any depth
• Applied to: body, params, requestHeaders, and response

Example

Original Request Body:

{
  "email": "user@example.com",
  "password": "secret123",
  "profile": {
    "name": "John Doe",
    "pin": "1234"
  }
}

Logged Data (with maskFields: ['password', 'pin']):

{
  "email": "user@example.com",
  "password": "********",
  "profile": {
    "name": "John Doe",
    "pin": "********"
  }
}

Note: The masking happens on the client side before data is sent to RekLog servers, ensuring sensitive data never leaves your application.

start(endpoint, method)

Start tracking a request.

Parameter	Type	Default	Description
endpoint	string	required	Endpoint path
method	string	GET	HTTP method

Returns: logId (string)

end(logId, options)

End tracking and send log to server.

Option	Type	Default	Description
logId	string	required	Log ID from start()
statusCode	number	200	HTTP status code
body	object	null	Request body (POST/PUT/PATCH)
params	object	null	Query parameters (GET)
requestHeaders	object	null	Request headers
response	object	null	Response data
metadata	object	{}	Additional custom data

middleware()

Returns Express middleware for automatic logging.

app.use(logger.middleware());

Automatically captures:

• Endpoint and method
• Response time
• Status code
• Request body, query params, headers
• Response body
• Route parameters

---

License

MIT