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import { applyDecorators } from '@nestjs/common';
import { ApiExtraModels, ApiQuery, getSchemaPath } from '@nestjs/swagger';

/**
 * Combines Swagger Decorators to create a description for `filters[name]=something`
 *  - has support for swagger
 *  - automatic transformation with nestjs
 */
// eslint-disable-next-line @typescript-eslint/ban-types,@typescript-eslint/explicit-module-boundary-types
export function ApiFilterQuery(fieldName: string, filterDto: Function) {

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This is a simple way of importing MySQL database in Docker.

1. In you Dockerfile you must have a shared folder. Shared folder is a directory in your host machine that is mounted to Docker instance.

2. Put the exported sql file in the shared folder.

3. Login to your Docker instance via docker exec -it DOCKER_CONTAINER_ID bin/bash.

4. Login to MySQL via mysql -u USERNAME -p.

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"""
Single Responsibility Principle
“…You had one job” — Loki to Skurge in Thor: Ragnarok
A class should have only one job. 
If a class has more than one responsibility, it becomes coupled. 
A change to one responsibility results to modification of the other responsibility.
"""

class Animal:
    def __init__(self, name: str):

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├── src 
│   ├── Api            # API layer
|   |   ├── UseCases      # API business rules in use cases
|   |   |   ├── GetTodos      # Use Case to get all the todo tasks
|   |   |   |   ├── TodoController.cs      # Todo Controller for the Get All
|   |   |   |   ├── GetTodosPresenter.cs      # Presenter 
│   ├── Application         # Application layer
|   |   ├── Boundaries      # Input and output ports helping us to cross boundaries
|   |   ├── Services      # Application services to handle application business logic
|   |   ├── UseCases      # Use cases interactors

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#!/usr/bin/env python
# http://www.rabbitmq.com/tutorials/tutorial-two-python.html
import pika
import sys

connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='localhost'))
channel = connection.channel()

message = ' '.join(sys.argv[1:]) or "Hello World!"

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public function findDataByProductId(int $productId)
    {
        $qb = $this->createQueryBuilder('p');

        $qb
        ->select('p, pmmp')
        ->leftJoin('p.contractsRenovation', 'pmmp')
            ->where('p.id = :productId')
            ->setParameter('productId', $productId);

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$qb = $this->createQueryBuilder('p');

        $qb
        ->select('partial p.{id, name}, partial pmmp.{id}')
        ->leftJoin('p.contractsRenovation', 'pmmp')
            ->where('p.id = :productId')
            ->setParameter('productId', $productId);

        return $qb->getQuery()->getResult(Query::HYDRATE_ARRAY);

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<?php

namespace App\Entity;
use Doctrine\Common\Collections\ArrayCollection;
use Symfony\Component\Validator\Constraints as Assert; 


class ProductDto
{   
    /**

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<?php

/*
 * This is a basic setup for Doctrine 2 one-to-many/many-to-one associations.
 * 
 * There are many alternative approaches, additions and optimizations possible,
 * but this example is only meant to help people getting started with the concept.
 */

namespace My\Entity;