help with writing a note template for creating a table from other notes

[advait404]

Hi, i am trying to create a literature matrix markdown table from my existing notes. I want to create a template that:

• select all items with tag "LR_Note🗒"
• for each item, it reads the note named "LR"
• each LR note has some content. basically it has a few heading and some content under each heading. around one paragraph each generally.
• now to create a markdown table, each heading will be 1 column.
• also includes the paper title as one column, and the paper citation key as another column

sample LR note:

# LR

## Significance

the paper focuses on 2 .....

## Research Question

This paper investigates .....

## Methodology

The authors conducted a .....

## Results

The survey .....

## Limitations

The paper acknowledges .....

## Future Works

Future work in .....

for reference, i previously had a dataview js script for obsidian, which can use to create a matrix for all zotero imported items. maybe it can be helpful:

const pages = dv.pages("#LR_Note🗒 or #LR_Note_old");

let rows = [];
let allSubheadings = new Set();

// First pass: collect all unique subheadings
for (let page of pages) {
    const content = await dv.io.load(page.file.path);
    
    // Extract content under the "# LR" heading
    const notesMatch = content.match(/# LR\s+([\s\S]*?)(\n# |\n---|$)/);
    if (notesMatch) {
        const notesContent = notesMatch[1];
        
        // Find all subheadings (## level) within the LR section
        const subheadingMatches = notesContent.match(/^#{2}\s+(.+)$/gm);
        if (subheadingMatches) {
            subheadingMatches.forEach(match => {
                const heading = match.replace(/^#{2}\s+/, '').trim();
                allSubheadings.add(heading);
            });
        }
    }
}

// Convert set to sorted array
const subheadingColumns = Array.from(allSubheadings).sort();

// Second pass: extract content for each subheading
for (let page of pages) {
    const content = await dv.io.load(page.file.path);
    
    // Extract content under the "# LR" heading
    const notesMatch = content.match(/# LR\s+([\s\S]*?)(\n# |\n---|$)/);
    const notesContent = notesMatch ? notesMatch[1] : "";
    
    let row = [
        page.title,
        page.authors ? page.authors.join(", ") : "",
        page.year
    ];
    
    // For each subheading column, extract its content
    subheadingColumns.forEach(subheading => {
        const regex = new RegExp(`^#{2}\\s+${subheading.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\s*\\n([\\s\\S]*?)(?=\\n#{2}|$)`, 'm');
        const match = notesContent.match(regex);
        const content = match ? match[1].trim() : "";
        row.push(content);
    });
    
    rows.push(row);
}

// Sort rows by title
rows.sort((a, b) => a[0].localeCompare(b[0]));

// Create dynamic headers
const headers = ["Title", "Authors", "Year", ...subheadingColumns];

dv.table(headers, rows);