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Stock market

Static analysis Automated testing

This application will periodically fetch stock prices from the Alpha Vantage API and store them in a database. The data can be accessed through a REST API.

This is just a PoC, should not be used in production.

Installation

After cloning the repository, you need to install the dependencies using composer (refer to the composer documentation to install the tool):

composer install

Clone the env file and edit it to match your environment:

cp .env.example .env
vim .env

You need to specify credential for the MySQL connection and for the Alpha Vantage API.

DB_CONNECTION=mysql
DB_HOST=127.0.0.1
DB_PORT=3306
DB_DATABASE=stock_market
DB_USERNAME=application
DB_PASSWORD=application


STOCK_MARKET_ALPHA_VANTAGE_API_KEY=demo
STOCK_MARKET_ALPHA_VANTAGE_API_URL=https://www.alphavantage.co

The application leverages the Laravel Cache module.

The ttl of the cached data can be set-up using the provided environment variable:

STOCK_MARKET_CACHE_TTL=60

By default the cache it's configured to use the file driver. If you want to use a different driver, you can change it in the .env file:

For redis (the application already requires the needed predis/predis):

CACHE_DRIVER=redis

REDIS_HOST=
REDIS_PASSWORD=
REDIS_PORT=6379

Generate the application key:

php artisan key:generate

Run the migrations:

php artisan migrate

Fill in the default Symbols:

php artisan app:fill-symbols

At this time you can run the application using either a local web server (for example Laravel Valet or Laravel Herd) or using the built-in PHP web server:

php artisan serve

Running with Docker

The project can be run using Docker.

In the repository, a simple docker-compose.yml is provided. It uses mysql for the database and a custom php8.2-apache image for the web server.

Due to time contraints, the docker image is not optimized for production.

A better solution would involve using nginx or caddy as a web server, and a separate container for php-fpm.

If you want to use docker, use the provided .env file:

cp .env.docker .env

Then run:

docker-compose up --build

At this point you need to run all the commands in the previous section, but using docker:

docker-compose exec php composer install
docker-compose exec php php artisan key:generate
docker-compose exec php php artisan migrate
docker-compose exec php php artisan app:fill-symbols

To fetch the pricing, you need to run the scheduler:

docker-compose exec php php artisan schedule:work

or fetch one time

docker-compose exec php php artisan app:fetch-pricing

Remember to adapt the .env file to match your environment. By default the api will point to the host machine on port 5000, on which the mock server will be running (if started).

The mapped port for the application is 8085. So, once started, you can access the application using the browser and navigating to http://localhost:8085.

Usage

Once you have the list of the Symbol defined in the database, you can start fetching the stock pricing using the following command:

php artisan schedule:work

Each minute the pricing for all the symbols will be fetched and stored in the database. The intraDay (with 1min interval) will be used.

If you want to manually fetch the pricing you can run:

php artisan app:fetch-pricing

Web interface

The project has a very simple web interface, that you can access using the browser and navigating to the the app url of your project.

The web interface has a dashboard that shows the latest pricing for all the symbols in the database, with the price variation from the previous period.

REST API

At ths point you can start using the REST API. For simplicity, in the repository there is a Postman collection that you can use to test the API. You can find it in the var folder.

Edit the variables of the collection to match your environment.

There are three endpoints available:

GET /api/symbols

This endpoint will return the list of Symbols available in the database. The response will be a JSON array with shape:

[
  {
    "symbol": "AAPL",
    "name": "Apple Inc."
  }
]

GET /api/history/{symbol}

This endpoint will return the pricing history for the given Symbol. The response will be a JSON array with shape:

{
  "data": [
    {
      "datetime": "2023-12-03 15:01:00",
      "open": "0.0000",
      "high": "0.0000",
      "low": "0.0000",
      "close": "0.0000",
      "volume": "0"
    }
  ]
}

GET /api/ticker/{symbol}

This endpoint will return the latest pricing for the given Symbol, and the price variation from the previous period.

This API endpoints uses the Laravel Cache to avoid hitting the database every time.

The response will be a JSON array with shape:

{
  "current": {
    "datetime": "2023-12-03 15:01:00",
    "open": "0.0000",
    "high": "0.0000",
    "low": "0.0000",
    "close": "0.0000",
    "volume": "0"
  },
  "previous": {
    "datetime": "2023-12-03 15:00:00",
    "open": "0.0000",
    "high": "0.0000",
    "low": "0.0000",
    "close": "0.0000",
    "volume": "0"
  },
  "change": "0.0000",
  "change_percent": "0.0000"
}

Testing

Automated tests

The application is covered by unit and feature tests. The tests have been created using the pest framework, a wrapper around phpunit. To launch tests, just run:

./vendor/bin/pest

or use the composer shortcut:

composer test

Static analysis

The application is covered by static analysis using phpstan. To launch the static analysis, just run:

./vendor/bin/phpstan

or use the composer shortcut:

composer static

Test real world scenario

You can test the application, also without the real Alpha Vantage API key. Just use the provided mock server.

Using the provided Alpha Vantage mock server

If you want to test the application, without using the real Alpha Vantage API endpoint, you can use the provided python mock server.

Just enter the mock folder, activate a python virtual environment, install requirements and you are ready to start the server:

cd mock
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python server.py

The mock service will listen on the default python flask port 5000 You can specify this mock server in the .env file:

STOCK_MARKET_ALPHA_VANTAGE_API_KEY=mock
STOCK_MARKET_ALPHA_VANTAGE_API_URL=http://127.0.0.1:5000

The Api Key can be anything, it will not be checked by the mock server.

Testing just the application with fake data

If you're just interested in testing the application, without fetching any data from the API, you can fill the database with fake pricing using the following command:

php artisan db:seed Database\\Seeders\\PriceSeeder

The previous command will fill the pricing for all the Symbols in the database. This works only if you already have the Symbols data in the database (see the installation section).

If you want to use also fake Symbols data, you can run:

php artisan db:seed Database\\Seeders\\SymbolSeeder

Information about the project

Architecture

The application is built using the Laravel framework. The main logic for the Alpha Vantage API is located in the app/AlphaVantage folder.

The code has been written to be statically typed, using the PHPStan tool. The architecture of each file is tested during the Unit testing.

strict_types has been used to enforce strict typing among the application.

It leverage the Laravel Cache to avoid hitting the database every time the /api/ticker/{symbol} endpoint is called.

Classes

App\AlphaVantage\Client\Client

This is the main class that interacts with the Alpha Vantage API. It will handle communication with the API and data transformation. Results for every call will be a Laravel Collection of StockPrice objects.

Dependency injection for the class is handle in the app\Providers\AppServiceProvider.php file.

App\AlphaVantage\Client\StockPrice

This is the representation of a single Stock Price. It is valid either for the intraDay and daily pricing. It contains data fetched from the API, transormed in the right data type.

App\AlphaVantage\Enums\Functions

This Enum contains the functions of the Alpha Vantage API supported by the application. The method jsonKey() provides a convenient way of establishing the key of the json response that will be used to fetch the data.

App\AlphaVantage\AlphaVantage

This is a Laravel Facade, with root accessors to the Alpha Vantage Client. This is used to easily access the Alpha Vantage Client from the application.

Configuration

The configuration for the application is stored in the config/stock_market.php file. Each configuration key will be available in the application using the config() helper, and can be set-up using environment variables.

Commands

App\Console\Commands\FillSymbols

This command will fill the database with the default symbols. Usage:

php artisan app:fill-symbols

App\Console\Commands\FetchPricing

This command will fetch the pricing for all the symbols in the database. Usage:

php artisan app:fetch-pricing

This command is scheduled (in the app/Console/Kernel.php file) to run every minute.