BruinCreates is an E-commerce shopping site for visual art students at UCLA.

For building and running the application you need, also see below for download and installment tutorials:

• JDK 1.8
  • Windows Users:
    • Verify installation using java -version command in CMD prompt
    • Make sure that you install the 64-bit version of JAVA https://www.java.com/en/download/ as the 32-bit version does not work with Elasticsearch
    • Configure JAVA_HOME environment variable by editing system environment variables
    • Add JAVA_HOME to PATH
• Maven 3.8.3
  • Windows Users:
    • Download .zip file and extract packages into local directory (any one will do)
    • Configure MAVEN_HOME environment variable by editing system environment variables
    • Add %MAVEN_HOME%\bin to PATH
• MySql 8.0.25
  • Windows Users:
    • Download the MSI installer https://dev.mysql.com/downloads/installer/
    • Run the SQL server on the MySQL workbench (just a user interface to interact with the DB server)
• Redis 6.2.6
  • Windows Users:
    • Redis is not supported on Windows so we have to install it on our system through WSL virtualization of Linux (Ubuntu)
    • Follow the instructions on this link and test Redis server on PORT:6379 https://redis.io/docs/getting-started/installation/install-redis-on-windows/
• Elasticsearch 6.8.12
  • Windows Users:
    • Download Elasticsearch .zip file and extract it to any directory
    • Navigate into directory and run .\bin\elasticsearch to start service
    • Possible Bugs:
      • Exception[X-Pack is not supported and Machine Learning is not available for [windows-x86]: Java version is 32 bit and not 64 bit
      • Native memory allocation (malloc) failed to allocate 201326592 bytes for committing reserved memory.: Set JVM heap size limits by configuring the _JAVA_OPTIONS system variable with value -Xmx500m -Xms200m
      

Please make sure to have MySql, Redis, Elasticsearch server running before starting the SpringBoot server.

There are several ways to run a Spring Boot application on your local machine. One way is to execute the main method in the com.bruincreates.server.ServerApplication class from your IDE.

• Example from VSCode

# make sure project dependencies are connect
$ mvn clean install

# set up redis
$ wget https://download.redis.io/releases/redis-6.2.6.tar.gz
$ tar xzf redis-6.2.6.tar.gz
$ cd redis-6.2.6
$ make
$ src/redis-server
$ src/redis-cli  # optional

# set up elastic search (Mac)
export ES_HOME=~/elasticsearch-6.8.12
export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0_333.jdk/Contents/Home
export PATH=$ES_HOME/bin:$JAVA_HOME/bin:$PATH

# set up mysql (mac)
/usr/local/mysql/bin/mysql -u root -p < src/main/resources/db.sql
# set up mysql (Windows, first open mysql console)
source src\main\resources\db.sql;

Alternatively you can use the Spring Boot Maven plugin like so:

mvn spring-boot:run

API Endpoints can be tested using PostMan Desktop application.

This project is secured using Spring Security and Spring Session Redis. Authentication is needed before accessing the server, for example:

# register user
POST: localhost:8080/api/account/register
body: json
{
  "username" : "test",
  "password" : "test",
  "profileName" : "test",
  "email" : "[email protected]"
}

# login user
POST: localhost:8080/api/account/login
body: form-data
username:test
password:test

# try sample query api
GET: localhost:8080/api/test

Elasticsearch is a NoSql, RESTful search database. In this project, we use Elasticsearch for product search query and chat message storage.

During installation, please make sure the version installed is 6.8.12. It's recommended to make Elasticsearch as a start-up option. If not, please run ./bin/elasticsearch to open the elasticsearch server. You could use the following POST command to test the connectivity of Elasticsearch database after login:

POST: localhost:8080/api/product/create
Body: JSON
{
    "title": "test",
    "description": "This is a test",
    "type": "1",
    "keywords": "test",
    "price": 10.5,
    "stock": 1,
    "images": ["img1", "img2"],
    "categories": ["test1", "test2", "test3"]
}

POST: localhost:8080/api/search/artwork
Body: JSON
{
    "size": 1,
    "from": 1,
    "keywords": "test"
}

To visualize the database, you could use a Google Chrome ElasticSearch Head plugin. You could go to Browser tab and click bruincreates indices for data visulization and go to Structured Query tab for executing queries. For more complex query and data visulization, you could use Elasticsearch's Kibana.

Released under the Apache License 2.0. See the LICENSE file.

An issue is a unit of tracking work. Issues can be classified into different classes using labels. This can be used to classify issues in the scrum process as follows.

An epic is an issue with the label epic. It represents a large story that can be broken into stories, which can be addressed over multiple sprints. An epic issue references its story issues as a list in its description. A Github action has been added to automatically check/uncheck the story list items when they get closed/reopened.

A story is an issue with the label story. It may represents a new feature, or an enhancement to an existing feature. A story issue can be broken into sub tasks, which are added as a list in the description of the story issue. These sub task items can be checked manually by the developer to indicate completion.

A bug is an issue with the label bug. It represents a problem with the existing code that needs to be fixed.

A question is an issue with the label question. It represents a question raised by any one and that may get converted into other types of issues.

In addition to the standard labels above, you can add new labels to issues to classify them into different classes like documentation, frontend, etc, or to add metadata like duplicate, invalid etc.

A milestone groups issues that are expected to be delivered at some point in time. It also allows ordering (prioritizing) theses issues and tracking their progress (percentage of issues completed so far). In the scrum context, a milestone can be used as a sprint. So, you can create your sprints and give them names like Sprint1, Sprint2, etc. and set their due dates respectively.

A project is a kanban-style board that can aggregate a set of issues for any purpose. In the scrum context, we can create one project called Scrum Board and choose its template to be Automated kanban with reviews. (This will create a set of initial notes that you can delete).

The master branch (sometimes called the main branch) is the main branch used for releases. Other branches can be created too. For example, a branch called gh-pages is often used as a website for the repository (for more information check this link). Other branches can be created to address the issues of the repository, one branch per issue (called an issue branch). Such branches can then be used to create pull requests, where they get peer reviewed and eventually merged into the master branch. For more information on branches, check this link.

A pull request is a request to merge commits from one branch to another. This is typically used to merge commits from an issue branch into the master branch. A pull request is how the process of peer review is carried. Reviewers can comment on the code changes to show approval or request changes (which will need to be addressed by additional commits to the issue branch). When a CI/CD pipeline is configured for a repository (see below), it will run on any issue branch that is part of a pull request. When the peer review process has concluded, the new commits can merged into the master branch. The recommended merge option to choose is Squash and merge, (i.e., squash all commits into a single commit), since it makes the repository's history simpler.

Tags can be used to mark release points in a repository's commit history. Typically, after some work goal has been achieved, with a set of commits, a tag (typically a version number like 1.0.0, 1.0.1, etc.) is pushed to the respository to mark this point. This results in the tag showing up in the repository's tags page.

An issue can be created from the issues tab of a repository. An issue type (bug, story, epic, question) is first chosen then its corresponding template can be sufficiently filled.

The Product Owner goes frequently to the Scrum Board project and clicks on the Add Cards link to triage new issues in the repository to the board's To do column, which acts here as the Product Backlog. Product Owner can also add unbaked ideas to the To do column as notes, which are placeholders that can later be converted into issues (right click to do that). Issues and notes can then be ordered in the To do column to show their priorities.

The Scrum Master creates a new milestone and gives it a suitable name (e.g., Sprint1) and a due date. Then, in the Scrum Board, issues from the top of the To do column (assuming they have been ordered based on priority) can be assigned to that milestone and to the developers who will work on them.

Developers go to the Scrum Board where they can filter it for the issues assigned to them in a given milestone. They can pick ones to work on by moving them to the In progress column (this is important since this is not automated).

In the daily standup, the Scrum Master can review progress by going to the Scrum Board and filtering it by the current milestone (sprint). Developers can then reference issues in the various columns when they answer the usual standup questions, e.g., issues they work on (In progress), finsihed (Done) or yet to work on (To do).

Before developers can work on an issue, they should checkout and pull the master branch to ensure that they have all the latest commits locally. Then, they should create a new local issue branch and name it issue-[number] (replacing [number] by the issue number). Several issue branches can be created concurrently, one for each issue, but it is important to make them independent from each other by checking out the master branch before creating each of them. This allows them to be pushed and merged independently from each other (and with the least conflicts).

Each issue branch can accumulate commits to address the issue. When ready, it can then be pushed to a corresponding remote branch that can then be used to create a pull request into the master branch. The pull request template needs to be filled at this point. Once created, a pull request can be reviewed by a peer reviewer who may request changes. These changes can be made using new commits in the local issue branch that can subsequently be pushed to the corresponding remote issue branch. When all peer reviews have concluded, the pull request can then be squash merged into the master branch (read more here), and the issue branch can be deleted. If the pull request description includes the words fixes #[number] (where [number] is an issue number), the issue with that number will automatically be closed.

it is recommeded to not push commits to the master branch directly but to always go through a peer review process using an issue branch.

It is recommended to create periodic releases from a repository, at least at the end of each sprint but can be more frequent. These releases should be working versions of the component(s) being developed in the repository. To create such releases, a new tag representing a version number (e.g., 1.0.0) is added to the local master branch then pushed to the remote master branch. A new release can then be created in Github using this tag.

Every repository needs to have a way to build its artifacts headlessly. It is a good idea to run tests as part of such build. Instructions on how to build the components in a repository needs to be documented in the repository's README.md.

A repository can also be setup to build continuously whenever a commit is pushed to the master branch by setting up a CI/CD script (e.g., Travis CI) in its root folder. Such script will configure the build environment (as a virtual machine) and invoke the build script on the branch. If the script fails for some reason, the committer will be notified to fix it. It is a good practice to add a build badge to the README.md file to visibly indicate the status of the last CI/CD build (Travis CI provides such badges).

The CI/CD script will also be run when a new pull request is created or when more commits are pushed to its linked issue branch. Such build assures peer reviewers that the new commits when accepted will not break the build. In fact, a successful CI/CD build can be a prerequisute for peer reviewers to look at the changes.

When a tag is pushed to the master branch, the CI/CD script will additionally deliver and/or deploy the built artifact(s). The script can also be configured to create a Github release based on the tag.