Comments (1)
Potential solution
The user's request is to log metrics directly to the same output as the main Soketi process logs, without setting up Prometheus. To achieve this, we will implement a new method in the Log
class for logging metrics, modify the Server
class to periodically call this method, and implement the logMetrics
method in the Metrics
class to format and log the metrics data.
The reasoning for this solution is to provide a seamless integration of metrics logging into the existing logging system of Soketi. By using a consistent log level and a distinguishable prefix for metrics logs, we can ensure that the metrics data is easily identifiable and can be parsed by the user's sophisticated log drain/query setup.
Code
For the src/log.ts
file:
export class Log {
// ... existing methods ...
static metrics(message: any): void {
// Prefix the message with a specific identifier for metrics logs
const metricsMessage = `[METRICS] ${this.prefixWithTime(message)}`;
// Log the metrics message at an 'info' level or another appropriate level
this.log(metricsMessage, 'cyan', 'mx-2');
}
// ... existing methods ...
}
For the src/server.ts
file:
// ... (rest of the imports and Server class)
export class Server {
// ... (existing properties and methods)
private metricsLogInterval: NodeJS.Timer | null = null; // Add a property to hold the interval
// ... (rest of the constructor and methods)
async start(callback?: CallableFunction) {
// ... (existing start logic)
// After the server has started, set up the metrics logging if enabled
if (this.options.metrics.enabled && this.metricsManager) {
// Set up an interval to log metrics periodically
this.metricsLogInterval = setInterval(() => {
this.metricsManager.logMetrics(); // This method should be implemented in the Metrics class
}, 10000); // Log every 10 seconds, for example
}
// ... (rest of the start logic)
}
// ... (rest of the methods)
stop(): Promise<void> {
// ... (existing stop logic)
// Clear the metrics logging interval when stopping the server
if (this.metricsLogInterval) {
clearInterval(this.metricsLogInterval);
this.metricsLogInterval = null;
}
// ... (rest of the stop logic)
}
// ... (rest of the Server class)
}
// ... (rest of the file)
For the src/metrics/metrics.ts
file:
import * as prom from 'prom-client';
// ... other imports ...
export class Metrics implements MetricsInterface {
// ... existing code ...
/**
* Log the metrics data to the standard output or a log file.
*/
logMetrics(): void {
if (!this.server.options.metrics.enabled) {
return;
}
// Retrieve metrics as JSON or another suitable format
this.getMetricsAsJson().then(metrics => {
if (metrics) {
// Format the metrics data into a log-friendly string
const metricsLog = this.formatMetricsForLogging(metrics);
// Use the Log class to output the formatted metrics
Log.metrics(metricsLog);
}
}).catch(error => {
Log.error('Error retrieving metrics for logging: ' + error.message);
});
}
/**
* Format the metrics data for logging.
*/
private formatMetricsForLogging(metrics: prom.metric[]): string {
// Implement the logic to convert the metrics array into a string
// that can be easily read and parsed from log files.
// This could be a JSON string, or a custom format that suits the user's log drain/query setup.
return JSON.stringify(metrics, null, 2);
}
// ... existing code ...
}
This implementation ensures that metrics are logged in a structured and consistent manner, making it easy for the user to integrate with their existing log analysis tools and build dashboards as needed.
Click here to create a Pull Request with the proposed solution
Files used for this task:
Changes on src/log.ts
To address the user's request for logging metrics directly, we can add a new method to the Log
class that specifically handles the logging of metrics data. This method should ensure that the metrics log entries are distinguishable from other log messages and are formatted in a way that can be easily parsed by the user's log drain/query setup.
Here's a practical proposal for implementing the new method in the Log
class:
- Add a new method called
metrics
to theLog
class. - This method should accept a message parameter that contains the metrics data.
- Format the message to include a specific prefix or structure that identifies it as a metrics log entry.
- Use a consistent log level for all metrics messages, such as
info
ordebug
, depending on the user's preference. - Ensure that the message is output to the same log stream as the main Soketi process logs.
Here's an example of how the new method could be implemented in the Log
class:
export class Log {
// ... existing methods ...
static metrics(message: any): void {
// Prefix the message with a specific identifier for metrics logs
const metricsMessage = `[METRICS] ${this.prefixWithTime(message)}`;
// Log the metrics message at an 'info' level or another appropriate level
this.log(metricsMessage, 'cyan', 'mx-2');
}
// ... existing methods ...
}
With this new method in place, the user can call Log.metrics(data)
to log metrics data, where data
is the formatted metrics information. This method will output the metrics data to the standard output or log file, depending on how the Soketi process is configured, and the log entries will be distinguishable by the [METRICS]
prefix.
This implementation assumes that the metrics data is already collected and formatted appropriately before being passed to the Log.metrics
method. The actual collection and formatting of metrics data would be handled elsewhere in the application, such as in the Metrics
class mentioned in the task.
Changes on src/server.ts
To address the user's request for logging metrics directly without using Prometheus, we need to modify the Server
class within the src/server.ts
file to periodically call a new method that logs metrics to the same output as the main Soketi process logs.
Here's a practical proposal to implement this feature:
-
Create a New Method for Logging Metrics: In the
Metrics
class (handled in another file), create a new method calledlogMetrics
that formats the metrics data as log entries. -
Modify the Server Class: In the
Server
class withinsrc/server.ts
, we need to set up a periodic logging function that calls the newlogMetrics
method from theMetrics
class. This can be done usingsetInterval
to periodically invoke the logging. -
Integrate with the Server Start Method: In the
start
method of theServer
class, after the server has been successfully started, set up the interval to call thelogMetrics
method. Ensure that the interval is cleared when the server stops.
Here's a code snippet to illustrate the changes to the src/server.ts
file:
// ... (rest of the imports and Server class)
export class Server {
// ... (existing properties and methods)
private metricsLogInterval: NodeJS.Timer | null = null; // Add a property to hold the interval
// ... (rest of the constructor and methods)
async start(callback?: CallableFunction) {
// ... (existing start logic)
// After the server has started, set up the metrics logging if enabled
if (this.options.metrics.enabled && this.metricsManager) {
// Set up an interval to log metrics periodically
this.metricsLogInterval = setInterval(() => {
this.metricsManager.logMetrics(); // This method should be implemented in the Metrics class
}, 10000); // Log every 10 seconds, for example
}
// ... (rest of the start logic)
}
// ... (rest of the methods)
stop(): Promise<void> {
// ... (existing stop logic)
// Clear the metrics logging interval when stopping the server
if (this.metricsLogInterval) {
clearInterval(this.metricsLogInterval);
this.metricsLogInterval = null;
}
// ... (rest of the stop logic)
}
// ... (rest of the Server class)
}
// ... (rest of the file)
This code snippet demonstrates how to set up and clear a periodic logging function for metrics within the Server
class. The actual implementation of the logMetrics
method will be handled in the Metrics
class (src/metrics/metrics.ts
), as per the task description for that file.
Changes on src/metrics/metrics.ts
To address the user's request for logging metrics directly without using Prometheus, we can implement a new method within the Metrics
class that formats the metrics data and logs it to the standard output or a log file. This method will be called logMetrics
, and it will be responsible for converting the metrics data into a log-friendly format and using the Log
class to output the data.
Here's a practical proposal for implementing the logMetrics
method in the Metrics
class:
import * as prom from 'prom-client';
// ... other imports ...
export class Metrics implements MetricsInterface {
// ... existing code ...
/**
* Log the metrics data to the standard output or a log file.
*/
logMetrics(): void {
if (!this.server.options.metrics.enabled) {
return;
}
// Retrieve metrics as JSON or another suitable format
this.getMetricsAsJson().then(metrics => {
if (metrics) {
// Format the metrics data into a log-friendly string
const metricsLog = this.formatMetricsForLogging(metrics);
// Use the Log class to output the formatted metrics
Log.info(metricsLog);
}
}).catch(error => {
Log.error('Error retrieving metrics for logging: ' + error.message);
});
}
/**
* Format the metrics data for logging.
*/
private formatMetricsForLogging(metrics: prom.metric[]): string {
// Implement the logic to convert the metrics array into a string
// that can be easily read and parsed from log files.
// This could be a JSON string, or a custom format that suits the user's log drain/query setup.
return JSON.stringify(metrics, null, 2);
}
// ... existing code ...
}
In this implementation, the logMetrics
method checks if metrics are enabled, retrieves the metrics data as JSON using the existing getMetricsAsJson
method, formats the data for logging, and then logs it using the Log
class.
The formatMetricsForLogging
method is a placeholder for the actual formatting logic. Depending on the user's log system, you might want to format the metrics data as a JSON string, or in a custom format that includes timestamps, metric names, and values in a way that's easy to parse and visualize in their dashboard.
To ensure that this method is called at appropriate intervals, you would need to set up a periodic logging function in the Server
class or wherever the server's main loop is managed. This could be done using setInterval
or a similar mechanism to call logMetrics
at a regular interval, such as every minute or every 10 seconds, depending on the desired granularity of the metrics.
Remember to handle any potential exceptions that may occur during the retrieval or logging of metrics to ensure the stability of the Soketi process.
Disclaimer: This comment was entirely generated using AI. Be aware that the information provided may be incorrect.
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