teleren/devto huggingface dataset:
Early Adopter's guide to Umbraco v14 [Trees] - Types and entities.
Published: 2024-02-21 12:28:30

Before we dive into all of the code for rendering trees in the backoffice, we need to define a few types and interfaces, 

> _Code for these posts is avalible in our [TimeDashboard Repository](https://github.com/KevinJump/TimeDashboard/) [FrontEnd (typescript)](https://github.com/KevinJump/TimeDashboard/tree/master/TimeDashboard.Client/assets/src/tree) & [Backend (c#)](https://github.com/KevinJump/TimeDashboard/tree/master/TimeDashboard.Client/Controllers/Time)_

They are used and passed around quite a lot, so setting them up now, will save us time later and let us use a lot of the core Umbraco code for tree managment.

## Item Types (entities).
The types of thing each bit of the tree handles will determain what is shown to the user when they click on the tree item, we have two types of item in our tree. Root items and Items.

```ts
export const TIME_TREE_ROOT_ITEM_TYPE = 'time-root';
export const TIME_TREE_ITEM_TYPE = 'time-item';

export type TimeTreeItemType = typeof TIME_TREE_ITEM_TYPE;
export type TimeTreeRootItemType = typeof TIME_TREE_ROOT_ITEM_TYPE;
```

## Item Models. 
The item models are what are passed between repositories, stores and the Umbraco base classes, there are root and item modles that differ here only in the entity type they manage.

```ts
import type { UmbUniqueTreeItemModel, UmbUniqueTreeRootModel } from "@umbraco-cms/backoffice/tree"
import { TimeTreeItemType, TimeTreeRootItemType } from "./enitty"

export interface TimeTreeItemModel extends UmbUniqueTreeItemModel {
    entityType : TimeTreeItemType
}

export interface TimeTreeRootModel extends UmbUniqueTreeRootModel {
    entityType: TimeTreeRootItemType
}
```
These Models will be used extensively, We have inherited from UmbUniqueTreeItemModel, which has other properties defined on it such as parent, hasChildren and name.

_Later on we might also define a `details model` which is the model used when an item is looked up to be displayed in the main workspace view on the page, but we are leaving that out for now while we deal with the mechanics of the tree alone._
PL300 Exam Excellence: Strategies for Top Scores
Published: 2024-02-21 12:28:08

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Exam 4 Future
Tags: beginners, exam, tutorial, discuss
Published: 2024-02-21 12:27:36

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How I use Rails' `concerning` macro
Tags: rails, ruby, concerns
Published: 2024-02-21 12:26:31

---
title: How I use Rails' `concerning` macro
published: true
description: 
tags: rails,ruby,concerns
# cover_image: https://direct_url_to_image.jpg
# Use a ratio of 100:42 for best results.
# published_at: 2024-02-21 11:48 +0000
---
Turns out Rails models have a neat macro - `concerning`. It allows defining an inline concern.

Docs: https://api.rubyonrails.org/classes/Module/Concerning.html

## Discussion

On the one hand, it's convenient for grouping methods, and have that grouping exist in an actual code structure, not just come comment block, and it's helpful to have that grouping live in the same file.
On the other hand, unfortunately, the separation of the concern from the model is so weak as to be nonexistent - nothing stops us from calling model methods in the concern module, leading to the popular flaw of secret API. And it's unclear how to spec the concern in isolation, we really need a separate file for that.

## Conclusion
I'll use `concerning` __exclusively__ for grouping methods that will never be refactored out of the model, to identify sub-groups of behavior within a model, for example a `Document` model having two sub-functionalities - one regarding versioning/revisions and the other regarding the underlying file (size, type, etc.), and spec them in the model spec, but in a dedicated describe block
```rb
describe Document do 
  describe "#some_method" do
  end

  describe described_class::Revisions do
```
Datadog PHP APM filtering
Tags: datadog, php, apm
Published: 2024-02-21 11:59:54

A client needed a solution to filter PHP APM traces before sending them to the Datadog server to reduce ingestion fees.

The filter rules were to exclude everything except requests exceeding 1 second and errors (HTTP code >= 400, exceptions, PHP errors).

They still wanted to utilize automatic instrumentation for several libraries (e.g., Laravel, Curl, PDO).

(The client is still using PHP 7.4, which is end-of-life; I know - they will upgrade to 8.x later.)

This auto-prepend script will filter out the specified request traces (returning from the function will retain the trace).


```php
<?php

// dd-filter.php

register_shutdown_function(function() {
  // config
  $TIME_LIMIT_SEC = 1.0;

  // exit if Datadog (DDTrace) is NOT loaded
  if (!class_exists('\DDTrace\GlobalTracer') || !class_exists('\DDTrace\Tag')) {
    return;
  }

  // get HTTP status code
  $httpResponseCode = http_response_code();
  if ($httpResponseCode >= 400) {
    return; // keep DD trace
  }

  // is the script exited with an error?
  $lastError = error_get_last();
  if ($lastError) {
    return; // keep DD trace
  }

  // get current request time
  if (empty($_SERVER['REQUEST_TIME_FLOAT'])) {
    return; // keep DD trace 
  }
  $startTime = $_SERVER['REQUEST_TIME_FLOAT'];
  $currentTime = microtime(true);
  $elapsedTime = max($currentTime - $startTime, 0.0);

  if ($elapsedTime > $TIME_LIMIT_SEC) {
    return; // keep DD trace
  }

  // drop DD trace
  $tracer = \DDTrace\GlobalTracer::get();
  $span = $tracer->getActiveSpan();
  if (null !== $span) {
    $span->setTag(\DDTrace\Tag::MANUAL_DROP, true);
  }
});
```

(Yes, I know it would be better if the configuration, for example, `TIME_LIMIT_SEC`, were kept in a separate file.)

This can be set up in the following way:

-  Place this script to `/etc/php/7.4/datadog-filter/dd-filter.php`
- Set the script for auto-prepending in `/etc/php/7.4/fpm/php.ini`:
`auto_prepend_file = /etc/php/7.4/datadog-filter/dd-filter.php`
- Restart PHP-FPM: `systemctl restart php7.4-fpm`

(The client is using their app on a Debian 12 Linux VM.)
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Types of Dependencies in package.json
Published: 2024-02-21 12:25:43

# Dependencies

Some dependencies are required by the application to run in a production environment. There are all the libraries and/or modules which are required by the application to function correctly. This dependency can be installed using the following command,

```bash
npm install <dependency name>
```

# Development Dependencies

These are the dependencies that are required by the application during development. These dependencies mainly include testing frameworks, build tools, linters, and other such modules which are only required while in the development stage of the application. Dev dependencies can be installed using the following command,

```bash
npm install --save-dev <depedency name>
```

# Peer Dependencies

These are the dependencies which are required by the installed dependencies. In other words, let's say you need to install package1 and that package1 has package2 as its dependency, in this case, package2 can be called a peer dependency. In other words, their dependencies can be considered as sub-dependencies. Whenever you install a package that has a peer dependency, the package manager notifies you about it. Subsequently, those dependencies can be installed using the same command as for normal dependencies, that is,

```bash
npm install <dependency name>
```

# Optional Dependencies

These are dependencies that are just add-ons to the project. The project would still work completely fine and as expected even without having their dependencies installed. Optional dependencies are automatically installed along with the package.
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Elestio Receives SOC 2 Type 1 Certification
Tags: elestio, soc2
Published: 2024-02-26 07:00:36

---
title: Elestio Receives SOC 2 Type 1 Certification
published: true
date: 2024-02-21 12:15:03 UTC
tags: Elestio, SOC2
cover_image: https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1cdvdttmybl3q4ofim4o.png
canonical_url: https://blog.elest.io/elestio-receives-soc-2-type-1-certification/
---

We are thrilled to announce that Elestio has achieved SOC 2 Type 1 certification! This certification underscores our ongoing commitment to the security and reliability of our services.

What does this mean for our clients? Firstly, it confirms our dedication to maintaining high standards in data security. Companies using our services can trust that their sensitive information is in safe hands.

The SOC 2 Type 1 certification also demonstrates our responsiveness to our clients compliance and security needs. It attests to the implementation of rigorous controls and procedures to safeguard our clients' data against potential threats.

We take pride in achieving this certification and will continue to work tirelessly to ensure the security and reliability of our services. We thank our clients for their trust and ongoing support.

**What is SOC 2 compliance?**

A SOC 2 examination provides a detailed report on a service organization's controls related to security, availability, processing integrity, confidentiality, and privacy. These reports aim to fulfill the requirements of various users seeking comprehensive information and assurance about the controls in place to protect the security, availability, and processing integrity of the systems handling users' data, as well as the confidentiality and privacy of the processed information.

**Next steps**

We are currently in the process of obtaining SOC 2 Type 2 certification, which is expected to be completed within the next three months. This strategic endeavor reinforces our unwavering commitment to meeting and surpassing industry benchmarks for data security and reliability. In addition, we are actively pursuing ISO 27001 certification, further solidifying our dedication to maintaining the highest standards of security and compliance for our clients' data.

Our most current SOC 2 report can be obtained from your account representative.
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Tags: webdev, beginners, javascript
Published: 2024-02-21 12:00:48

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Tags: seo
Published: 2024-02-21 12:00:34

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Implementing multiple consumers
Published: 2023-06-27 23:20:18

Title: Building Multiple RabbitMQ Consumers with Python

Introduction:

In distributed systems, message brokers like RabbitMQ play a vital role in facilitating communication between different components. RabbitMQ offers robust features for message queuing and routing, making it a popular choice for building scalable and reliable systems. In this blog post, we will explore how to build multiple RabbitMQ consumers using Python. We will focus on implementing two consumer classes, `SMSConsumer` and `ALLConsumer`, each responsible for consuming specific types of messages.

Code Implementation:

Let's examine the code and understand the implementation of the `SMSConsumer` and `ALLConsumer` classes. Both classes inherit from the `RabbitMQConsumerBase` class, which serves as the foundation for building message consumers. The `SMSConsumer` and `ALLConsumer` classes accept parameters such as `queue_name`, `binding_key`, `host`, `port`, `username`, and `password` to establish a connection with RabbitMQ. By overriding the `process_message` method in each class, we define the logic to handle received messages.

```python
from consumers.base import RabbitMQConsumerBase
from config import Config

class SMSConsumer(RabbitMQConsumerBase):
    def __init__(self, queue_name, binding_key, host, port, username, password):
        super().__init__(queue_name, binding_key, host, port, username, password)

    def process_message(self, channel, method, properties, body):
        print("Received SMS message:", body.decode())


class ALLConsumer(RabbitMQConsumerBase):
    def __init__(self, queue_name, binding_key, host, port, username, password):
        super().__init__(queue_name, binding_key, host, port, username, password)

    def process_message(self, channel, method, properties, body):
        print("Received message:", body.decode())
```

Testing the Consumers:

To test the consumers, we utilize the `Config` class, which allows us to configure the necessary connection details for RabbitMQ. In the main execution block, we create an instance of each consumer class with the appropriate connection details and invoke the `consume` method on each instance. This starts the consumption process for each consumer, enabling them to receive and process messages from RabbitMQ.

```python
if __name__ == "__main__":
    config = Config(override=True)
    SMSConsumer(
        queue_name="sms",
        binding_key="notif.sms",
        host=config.RABBITMQ_HOST,
        port=config.RABBITMQ_PORT,
        username=config.RABBITMQ_USER,
        password=config.RABBITMQ_PASSWORD
    ).consume()
```

Conclusion:

Building RabbitMQ consumers in Python provides a flexible and scalable solution for handling messages in distributed systems. By implementing specialized consumer classes like `SMSConsumer` and more generic consumers like `ALLConsumer`, we can efficiently process specific types of messages or handle a broader range of message types. This approach allows developers to adapt their systems to specific messaging requirements while leveraging the powerful features of RabbitMQ.
Introducing Mock Interviews by Talently.ai! Try Mock interviews today for free! 🤖
Tags: news, ai, interview
Published: 2024-02-21 11:53:57

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Published: 2024-02-21 11:45:49

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Published: 2024-02-21 11:29:41

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