Set‐up

Repository: https://github.com/m1nce/bpd-reference

Before you start..

It is highly recommended to use GitHub Desktop! It gives a better environment in which we can see changes, push, fork, pull, and commit to a repository. Dealing with changes when your local repository is behind can be difficult because of the steps with troubleshooting (stashing, etc.), but GitHub Desktop provides a clean and understandable interface to deal with changes.

FOR NOW: be sure to send your GitHub username to me (Minchan) so I can set you as a collaborator on the repository!

Step 1: Setting up local device for development

1. Set global Git username: git config --global user.name "Your Name"
2. Set your global Git email: git config --global user.email "[email protected]"
3. Install Node.js: https://nodejs.org/en/download
4. Clone the Repository: git clone https://github.com/m1nce/bpd-reference.git
5. Navigate to the repository folder: cd bpd-reference
6. Set Up the Repository: npm install
7. Start the localhost development server: npm run start

Step 2: Understanding the repository

A simplified file structure of the repository:

bpd-reference/
├── .docusaurus          # Build artifacts, caches; DO NOT TOUCH
├── blog                 # NOT USED
├── build                # Production; DO NOT TOUCH
├── components           # React components for displaying bpd data types
| ├── DataFrameComponent.jsx     # DataFrame component; reads the json
| └── SeriesComponent.jsx        # Series component; reads the json
├── docs                 # Documentation markdowns; MOST OF THE WORK IS DONE HERE <-----------------IMPORTANT!
│ ├── arrays-and-numpy   # Category of method/function
│ │ ├── category.json    # json file for category; contains info of label, position, description
│ │ └── arr[].md         # Page for arr[]
├── node_modules         # All node packages that the project depends on; DO NOT TOUCH
├── src                  # Contains additional source code
│ ├── css                # Styling
│ │ ├── function.css             # Styling for functions/methods page 
│ │ └── dataframe-styles.css     # Styling for DataFrames; used in DataFrameComponent.jsx
├── static               # Images and SVGs
└── docusaurus.config.js # Configuration for Docusaurus site

As seen above, most of the work will actually be done in the bpd-reference/docs folder. Every page that is seen in the front-end is created using a .md file.

Step 3: Understanding .md file structure

Here's bpd-reference/docs/building-organizing/bpd.read_csv().md as an example:

---
sidebar_position: 2                                                        <- position in this directory on the webpage
---

import DataFrameComponent from '../../components/DataFrameComponent.jsx';  <- goes up two directories, then to the specified path
import '../../src/css/function.css';                                       <- goes up two directories, then to the specified path

<code>bpd.read_csv(filepath)</code>                                        <- function we want to show - include the default parameters

<div className='base'>
    <p><strong>Read a comma-separated values (csv) file into DataFrame.</strong></p>                           <- description of function

    <dl>
        <dt className='term'>Input:</dt>                                                                       <- inputs
        <dd className='parameter'>filepath : <em>string, path object, file-like object.</em></dd>
        <dd className='parameter-description'>Any valid string path is acceptable. The string could also be a URL.</dd>

        <dt className='term'>Returns:</dt>                                                                     <- returns
        <dd>df - DataFrame with read csv file.</dd>

        <dt className='term'>Return Type:</dt>                                                                 <- return type
        <dd>DataFrame</dd>
    </dl>
</div>

---

```python                                                                                                      <- code block
pets = bpd.read_csv('pets.csv')
pets
```

<DataFrameComponent data={'{"columns":["Species","Color","Weight","Age"],"index":[0,1,2,3,4,5,6],"data":[["dog","black",40.0,5.0],["cat","golden",15.0,8.0],["cat","black",20.0,9.0],["dog","white",80.0,2.0],["dog","black",25.0,0.5],["hamster","black",1.0,3.0],["hamster","golden",0.25,0.2]]}'} />
                               ↑
                               | DataFrameComponent object that displays DataFrame from json

For the most part, nearly every .md file that will be deployed to the website will contain the same structure. If there is a need to create more functions/methods, copy and pasting a .md file from that same folder should provide a good template in what to do. To see changes on localhost:3000, make sure to save the file that has been worked on and reload the page to see the changes.

If you need to insert a new DataFrame/Series:

1. Turn the babypandas DataFrame/Series into a pandas DataFrame/Series.
2. Run df.to_json(orient='split') on the DataFrame/Series you want to display.
3. Copy and paste it into the DataFrameComponent.
4. (IF SERIES): add extra key-value pair manually of "dtype":"[INSERT TYPE]" after the 'name' key-value pair.

Step 4: Deploying local changes to GitHub Pages

1. Add, commit, and push changes to repository.
2. Create SSH Key:

• In the home directory of Terminal (cd), make a new folder (mkdir .ssh).
• To generate an SSH key pair: ssh-keygen -t rsa -b 4096 -C "your_email.example.com"
• When prompted to save key, press enter.
• Insert a passphrase you will remember (you'll need it later!)

3. Save the SSH key to GitHub:

• After generating the key, add the public key to your GitHub account in the "SSH and GPG keys" section of your account settings.
• Enter a title, keep the key type as Authentication Key, and paste your key you created in the above step (you can copy the key you created into your clipboard from the above step by typing this into Terminal: pbcopy < ~/.ssh/id_rsa_github.pub).

4. Go back to bpd-reference directory through Terminal.

5. Deploy the site: USE_SSH=true npm run deploy

• This uses your SSH key to deploy. Enter the passphrase you set when creating the SSH key.

Troubleshooting

"address already in use :::3000"

• This means that the 3000 port is currently already being used by a different process. Before proceeding to the next steps, make sure that the other process is dealt with (saving, etc.)

1. Find the process using the port:

• Linux/Mac: `lsof -i :3000"
• Windows (Command Prompt as admin): netstat -ano | findstr :3000

2. Kill the process: (replace PID from above step)

• Linux/Mac: kill -9 PID
• Windows: taskkill /PID PID /F