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calculatorLogic.js
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calculatorLogic.js
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const csv = require('csv-parser');
const { createObjectCsvWriter } = require('csv-writer');
const fs = require('fs');
const readline = require('readline');
const QUORUM = 17;
const MIN_AMOUNT = 1500;
const TOTAL_AMOUNT = 30000000;
const MAX_ITERATIONS = 10;
const inputFilePath = './input/outputVerifySig.csv';
const outputFilePath = './output/outputResultsFinal.csv';
// Function to read CSV file
function readCSV(filePath) {
return new Promise((resolve, reject) => {
const results = [];
fs.createReadStream(filePath)
.pipe(csv())
.on('data', data => results.push(data))
.on('end', () => resolve(results))
.on('error', reject);
});
}
// Function to prompt and wait for user input
function promptUser(message) {
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
});
return new Promise(resolve => {
rl.question(message, input => {
rl.close();
resolve(input);
});
});
}
// Helper function to calculate median, given array of values
function calculateMedian(values) {
if (values.length === 0) return 0;
values.sort((a, b) => a - b);
const half = Math.floor(values.length / 2);
if (values.length % 2) return values[half];
return (values[half - 1] + values[half]) / 2.0;
}
// Take all the votes, and calculate the median and vote counts for each unique projectId
function calculateProjectAllocations(data) {
const projects = {};
data.forEach(row => {
if (row.verified_signature !== 'TRUE') return;
// Parse the signed_payload JSON string into an array of votes
const votes = JSON.parse(row.signed_payload);
// Process each vote in the array
for (vote of votes) {
const projectId = vote.projectId;
const amount = parseFloat(vote.amount);
if (isNaN(amount)) continue; // Skip if amount is NaN
// Initialize project data structure if it doesn't exist
if (!projects[projectId]) {
projects[projectId] = { votes_array: [], votes_count: 0 };
}
// Append the amount to the votes_array and increment votes_count
projects[projectId].votes_array.push(amount);
projects[projectId].votes_count++;
}
});
// Calculate median_amount and is_eligible for each project, and initialize with is_cut to FALSE
Object.keys(projects).forEach(projectId => {
const project = projects[projectId];
project.median_amount = calculateMedian(project.votes_array);
project.is_eligible = project.votes_count >= QUORUM;
project.is_cut = false; // Initialize with is_cut as FALSE
});
return projects;
}
// Scale allocations only for projects that are eligible and not cut
function scaleAllocations(projects) {
const eligibleProjects = Object.values(projects).filter(
p => p.is_eligible && !p.is_cut
);
const totalMedian = eligibleProjects.reduce(
(acc, p) => acc + p.median_amount,
0
);
const scaleFactor = TOTAL_AMOUNT / totalMedian;
eligibleProjects.forEach(p => {
p.scaled_amount = p.median_amount * scaleFactor;
});
return projects;
}
// Mark projects for cut if scaled_amount is below MIN_AMOUNT
function markProjectsForCut(projects) {
Object.entries(projects).forEach(([_, project]) => {
if (project.is_eligible && project.scaled_amount < MIN_AMOUNT) {
project.is_cut = true;
project.scaled_amount = 0; // Set to 0 as it's below the threshold
} else {
project.is_cut = false;
}
});
return projects;
}
// Main function to first calculate project allocations, and then scale and cut projects
async function main() {
const csvData = await readCSV(inputFilePath);
let projects = calculateProjectAllocations(csvData);
let previousProjectsForCut = new Set();
let iteration = 0;
while (iteration < MAX_ITERATIONS) {
projects = scaleAllocations(projects);
projects = markProjectsForCut(projects);
const currentProjectsForCut = new Set(
Object.entries(projects)
.filter(([_, p]) => p.is_cut)
.map(([address, _]) => address)
);
// Check if any new projects have been marked for cut
const isNewProjectCut = Array.from(currentProjectsForCut).some(
projectId => !previousProjectsForCut.has(projectId)
);
if (isNewProjectCut) {
console.log(
`Iteration ${iteration + 1}, Projects for cut:`,
Array.from(currentProjectsForCut).join(', ')
);
await promptUser('Press Enter to continue...');
previousProjectsForCut = currentProjectsForCut;
} else {
break; // Break the loop if no new projects need to be cut
}
iteration++;
}
// Ensure the sum of all scaled_amount equals TOTAL_AMOUNT
const totalAllocated = Object.values(projects)
.filter(p => p.is_eligible && !p.is_cut)
.reduce((acc, p) => acc + p.scaled_amount, 0);
if (totalAllocated !== TOTAL_AMOUNT) {
console.log(
`Error: Total allocated amount (${totalAllocated}) does not equal TOTAL_AMOUNT (${TOTAL_AMOUNT})`
);
} else {
console.log(
`Error: Total allocated amount (${totalAllocated}) does not equal TOTAL_AMOUNT (${TOTAL_AMOUNT})`
);
}
// Export final results
const finalData = Object.entries(projects).map(([address, project]) => ({
project_id: address,
votes_array: project.votes_array,
votes_count: project.votes_count,
median_amount: project.median_amount,
is_eligible: project.is_eligible,
is_cut: project.is_cut,
scaled_amount:
project.is_eligible && !project.is_cut ? project.scaled_amount : 0,
}));
// Define the CSV writer
const csvWriter = createObjectCsvWriter({
path: outputFilePath,
header: [
{ id: 'project_id', title: 'Project ID' },
{ id: 'votes_array', title: 'Votes Array' },
{ id: 'votes_count', title: 'Votes Count' },
{ id: 'median_amount', title: 'Median Amount' },
{ id: 'is_eligible', title: 'Is Eligible' },
{ id: 'is_cut', title: 'Is Cut' },
{ id: 'scaled_amount', title: 'Scaled Amount' },
],
});
await csvWriter.writeRecords(finalData);
console.log(`Results saved in ${outputFilePath}`);
}
main().catch(console.error);