point-of-sales/pos-frontend/app/database.ts

97 lines
2.2 KiB
TypeScript

import pl, { DataFrame } from 'nodejs-polars'
import fs, { writeFile } from 'fs'
export function test_x(params: any) {
const fooSeries = pl.Series("foo", [1, 2, 3])
let res = fooSeries.sum()
console.log(res)
let df = pl.readCSV("data/iris.csv")
}
class CSVDatabase {
private df: DataFrame | null = null
private filePath: string
constructor(filePath: string) {
this.filePath = filePath
this.loadCSV()
}
private loadCSV() {
fs.existsSync(this.filePath) ? this.df = pl.readCSV(this.filePath) : this.df = DataFrame([])
}
private saveCSV() {
if (this.df) {
fs.writeFileSync(this.filePath, this.df.writeCSV())
}
}
create(row: Record<string, any>) {
if (this.df) {
this.df = this.df.vstack(DataFrame([row]))
this.saveCSV()
}
}
read(filter: Record<string, any>) {
return this.df ? this.df.filter(filter) : null
}
update(filter: Record<string, any>, values: Record<string, any>) {
if (this.df) {
// update it
this.saveCSV()
}
}
delete(filter: Record<string, any>) {
if (this.df) {
// should be filter Not
this.df = this.df.filter(filter)
this.saveCSV()
}
}
}
// A CSV can refer to other CSV's via pointers, a type of metadata
interface CSVDatabase2 {
df: DataFrame
filepath: string
}
export function create_csv_database(filepath: string): CSVDatabase2 {
// let df = DataFrame([], { columns: ["key", "value"] })
let df = DataFrame({ "key": ['header'], "value": ['next'] })
// writeFile(filepath, 'key,value\nheader,next', () => { })
// let df = pl.readCSV(filepath)
df.writeCSV(filepath)
return { df, filepath }
}
export function save_db(db: CSVDatabase2) {
db.df.writeCSV(db.filepath)
}
export function add_row(db: CSVDatabase2, row: Record<string, string>) {
db.df = db.df.vstack(DataFrame(row))
}
export function print_head(db: CSVDatabase2) {
console.log(db.df.head())
}
// can filter everything that is not the row, and do to db
export function delete_row_by_key({df, filepath}: CSVDatabase2, key: string) {
// db.df.drop(pl.col("key").eq(key))
// df = df.select((pl.col("key") != key).alias("nrs > 1"))
// db.df = db.df.filter(pl.col("key").neq(key))
}