Механизм проката велосипедов с многомерным массивом

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Zlecenie jest tłumaczone automatycznie. Zaloguj się lub zarejestruj się, żeby zobaczyć oryginał A Bicycle hiring shop, requires to capture the bikes been hired, how much each was offered and the time. Read each city record and capture as c, n & ct by giving the key as: timeframe_n, [{object},{object},{object}] c: is the money being offered to hire the byke n: name of the city - e.g. London ct: time being rented In each city total of 40 bikes can be rented as a group for a given timeframe. So, if it is in London for 1hour then a total of 40 bycicles can be rented at a time. When the total reaches to 40 then the first one leaves from the queue and the system allows a new one to join from the back. It's a First In First out. The same thing can be in London for 4 hours session. So, data getting for 4hours / London then if the cyclist books for 4 hours then total of 40 can be booked. If length reaches 40 then starts the calculation. After returning sucessfully the calculation removes the first object from the queu and allow a new one to be added at the end. There will be never be 41 record or more in the queue. In London I might have booking mechanism for 1hour, 4hours or 10mins In Bristol I might have booking mechanism for 1 hour and 15mins. The X axis Map can not grow more than 40 The Y axis can grow as much as possible. So, what is required from the project. Read the data from CSV Create an object with {c: 12.00, n:'London', ct: 12345} Loop each array in Y and loop each in X and find the key and append the new object to that array. Make sure you add the correct object to correct array. So, the Array can be: 1h_London, [{c:15.00, n:'London', ct: 12345}, {c:15.10, n:'London', ct: 12346}] 4h_London, [{c:12.00, n:'London', ct: 12455}, {c:12.90, n:'London', ct: 12356}] 15m_London, [{c:15.04, n:'London', ct: 12458}, {c:15.90, n:'London', ct: 14356}] 1h_Bristol, [{c:14.00, n:'Bristol', ct: 12347}, {c:14.60, n:'Bristol', ct: 15346}] 4h_Bristol, [{c:11.10, n:'Bristol', ct: 12459}, {c:11.70, n:'Bristol', ct: 12156}] The condtion should check, if map length is less than 40 then allow new object to be added to the map. If length reaches to 40 then remember the last record and call my function: const ma = calculateMyData(array) ---> [23, 40, 50, 68, 90, 99] The calculateMyData(array) I will add my logic here. You need to just return some arrays to ma variable, like this: const calculateMyData = array => AR=[23, 40, 50, 68, 90, 99] var start_geolocation : boolean = false var Geoposition : number = 0 function splitCalculation() { Next, Split the array AR into two, 1. the last record ---> 99 2. and everthing from 0 till last-1 ---> [23, 40, 50, 68, 90] Next, check if the last < 50 or last > 50 if last < 50 then !start_geolocation then start_gelocation = True Geopositioin = 'c' // the c value from the last object if last > 50 then if start_geolocation then start_geolocation = False GeoPosition = 0 } When a new record added to the Array[Y][X] then repeat the process and remove the first record from Array AR and add a new random number at the end. So the Array AR becomes---> [40, 50, 68, 90, 99, ] const ma = calculateMyData(array) ---> [40, 50, 68, 90, 99, 45] splitCalculation() Make sure each calculation is separate from each other. The start_geolocation and Geoposition are variable which belongs to the given city and timeframe. The variables can not overlap to each other's conditionall check.. const fs = require('fs') const csv = require('csv-parser'); const loadData = () => { fs.createReadStream('./data/oneHour_London.csv') .pipe(csv()) .on('data', (row) => { filterStream(row) }) .on('end', () => { console.log('CSV file successfully processed'); }); } loadData(); Data ================================ 1h ------------------- n,c,ct London,15.00,12345 London,15.11,12344 London,15.01,12374 London,15.12,12354 4h ------------------ n,c,ct London,12.00,12345 London,12.11,12544 London,12.11,12474 London,13.52,13354 1h ------------------ n,c,ct Bristol,11.00,13345 Bristol,11.21,14544 Bristol,12.41,12474 Bristol,12.92,13754 ... ================================

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