2021-12-31 15:30:43 -05:00

135 lines
3.8 KiB
JavaScript

import mkdirp from 'mkdirp'
import path from 'path'
import fsp from 'fs/promises'
import Papa from 'papaparse'
import { getCounty } from '../../util.js'
async function processByCounty({ date, zip }, countyInfo, output) {
output = {
directory: path.join(output.directory, 'by-county'),
file: county => `${county}.json`
}
const csv = await zip.entryData('epicurve_rpt_date.csv').then(res => res.toString())
const rows = Papa.parse(csv, {
header: true
}).data
let deaths_last_14_days = []
function computeDeathsLast14Days() {
return deaths_last_14_days.reduce((prev, current) => prev + current, 0)
}
const counties = rows.reduce((counties, row) => {
const county = getCounty(row.county)
const info = countyInfo[county]
if (!county) return counties
if (!counties[county]) counties[county] = []
deaths_last_14_days.unshift(+row.deaths)
deaths_last_14_days.length = 14
counties[county].push({
report_date: row['report_date'],
population: info.population,
deaths: parseInt(row.deaths),
deaths_per_capita: parseInt(row.deaths) / info.population,
deaths_14_days: computeDeathsLast14Days(),
death_rate_14_days: computeDeathsLast14Days() / info.population,
total_deaths: parseInt(row.death_cum),
total_deaths_per_capita: parseInt(row.death_cum) / info.population
})
return counties
}, {})
for (const county in counties) {
const data = {
segment: { county },
headers: Object.keys(counties[county][0]),
rows: counties[county].map(row => Object.values(row))
}
await mkdirp(output.directory)
await fsp.writeFile(path.join(output.directory, output.file(county)), JSON.stringify(data))
}
}
async function processCombined({ date, zip }, countyInfo, output) {
output = {
directory: output.directory,
file: `combined.json`
}
const csv = await zip.entryData('epicurve_rpt_date.csv').then(res => res.toString())
const rows = Papa.parse(csv, {
header: true
}).data
const report_dates = new Set()
let deaths_last_14_days = []
function computeDeathsLast14Days() {
return deaths_last_14_days.reduce((prev, current) => prev + current, 0)
}
let oldCounty = null
const results = rows.map(row => {
const county = getCounty(row.county)
if (!county) return null
if (['-- All --', '-- Unknown --'].includes(county)) return null
const info = countyInfo[county]
report_dates.add(row['report_date'])
if (oldCounty !== county) {
deaths_last_14_days = []
oldCounty = county
}
deaths_last_14_days.unshift(+row.deaths)
deaths_last_14_days.length = 14
return {
county,
report_date: row['report_date'],
population: info.population,
deaths: parseInt(row.deaths),
deaths_per_capita: parseInt(row.deaths) / info.population,
deaths_14_days: computeDeathsLast14Days(),
death_rate_14_days: computeDeathsLast14Days() / info.population,
total_deaths: parseInt(row.death_cum),
total_deaths_per_capita: parseInt(row.death_cum) / info.population
}
}).filter(row => !!row)
const data = {
segment: { report_date: Array.from(report_dates) },
headers: Object.keys(results[0]),
rows: results.map(row => Object.values(row))
}
await mkdirp(output.directory)
await fsp.writeFile(path.join(output.directory, output.file), JSON.stringify(data))
}
async function processSingleZip (zip, countyInfo) {
const output = {
directory: `./public/data/state/deaths/`,
}
try {
await fsp.rm(output.directory, { recursive: true })
} catch (e) {}
await processByCounty(zip, countyInfo, output)
await processCombined(zip, countyInfo, output)
}
function process (zips, countyInfo) {
return processSingleZip(zips.at(-1), countyInfo)
}
export default process