Eric Berry coderberry

Coding Task: Django Application with External API Integration, PostgreSQL, and Celery

Task Description:

Create a Django application that integrates with a public API, retrieves data, and stores it in a PostgreSQL database. The application should expose endpoints to fetch the stored data and perform basic CRUD operations.

Requirements:

1. External API Integration:

Use a public API (e.g., OpenWeatherMap API) to fetch weather data for a given city.
Store the fetched data in a PostgreSQL database.

Celery

Celery is a distributed task queue that handles real-time processing with a focus on operations requiring immediate execution.

Pros:

Maturity: Celery has been around for a long time and is a well-established tool with a large community. It is used in many production environments, which attests to its reliability and robustness.
Flexibility: It supports multiple message brokers like RabbitMQ, Redis, and Amazon SQS, providing flexibility in choosing the right tool for message passing.
Scalability: It can scale out to handle a large number of tasks very efficiently across multiple workers and servers.
Performance: Optimized for high-throughput and real-time task processing, making it ideal for applications that require immediate task processing.

I am applying for a job at the company named [redacted]. I am writing a cover letter that should include 3–4 paragraphs explaining why I'm the perfect candidate for a specific job.

Here is the job description:

Developing front-end website architecture using hotwire and tailwind.
Designing user interactions on web pages.
Developing back-end website applications.
Ensuring cross-platform optimization for mobile phones.
Ensuring responsiveness of applications.
Working alongside graphic designers for web design features.

You are an expert software engineer that understands all aspects of the Ruby programming language (version 3).

Consider the following tree structure:

.
├── 1
│   ├── 1.1
│   │   ├── 1.1.1
│ │ ├── 1.1.2

	{
	"name": "appmap-example",
	"appmap_dir": "tmp/appmap",
	"packages": [
	{
	"name": "app",
	"path": "app",
	"handler_class": "AppMap::Handler::FunctionHandler",
	"shallow": false
	},

	{
	"angle_down": {
	"solid": [
	{
	"stroke": "currentColor",
	"stroke_linecap": "round",
	"stroke_linejoin": "round",
	"stroke_width": "2",
	"d": "m19 9-7 7-7-7"
	}

	#!/usr/bin/env ruby

	file_list = `gh pr diff $(git rev-parse --abbrev-ref HEAD) --name-only`
	pr_files = file_list.split("\n")

	puts "Running standardrb --fix on:"
	pr_files.each { \|f\| puts " - #{f}" }
	puts # empty line

	system("bundle exec standardrb --fix #{pr_files.join(' ')}")

	#!/usr/bin/env ruby

	# Count lines of code in a pull request
	# Usage:
	# ./b/cloc_pr 22621
	#
	# Code: +1212 / -208
	# Blank Lines: +241 / -18
	# Files: +17 / -0
	# Modified Files: 38

	# freeze_string_literal: true

	module CreateWithCallbacks
	extend ActiveSupport::Concern

	# Mimic the FactoryBot `create` method but with callbacks. All traits and overrides are applied.
	#
	# @example with traits and attributes
	# source_course = create_with_callbacks!(
	# :course,

	{
	// See https://go.microsoft.com/fwlink/?LinkId=827846 to learn about workspace recommendations.
	// Extension identifier format: ${publisher}.${name}. Example: vscode.csharp

	// List of extensions which should be recommended for users of this workspace.
	"recommendations": [
	"LoranKloeze.ruby-rubocop-revived",
	"castwide.solargraph",
	"jemmyw.rails-fast-nav",
	"MateuszDrewniak.ruby-test-runner",