193 lines
6.1 KiB
JavaScript
193 lines
6.1 KiB
JavaScript
import pkg from 'mongodb';
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const { MongoClient } = pkg;
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import { hashString } from "./utils.js"
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function roughSizeOfObject(object) {
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var objectList = [];
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var stack = [object];
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var bytes = 0;
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while (stack.length) {
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var value = stack.pop();
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if (typeof value === 'boolean') {
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bytes += 4;
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}
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else if (typeof value === 'string') {
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bytes += value.length * 2;
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}
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else if (typeof value === 'number') {
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bytes += 8;
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}
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else if
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(
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typeof value === 'object'
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&& objectList.indexOf(value) === -1
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) {
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objectList.push(value);
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for (var i in value) {
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stack.push(value[i]);
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}
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}
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}
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let megaBytes = bytes / (1024) ** 2
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let megaBytesRounded = Math.round(megaBytes * 10) / 10
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return megaBytesRounded;
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}
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export async function upsert(contents, documentName, collectionName = "utitlityFunctionCollection", databaseName = "utilityFunctionExtractorDatabase") {
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const url = process.env.MONGODB_URL
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const client = new MongoClient(url);
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try {
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await client.connect();
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console.log("Connected correctly to server");
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const db = client.db(databaseName);
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// Use the collection "data"
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const collection = db.collection(collectionName);
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// Construct a document
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let document = ({
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"name": documentName,
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"timestamp": new Date().toISOString(),
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"contentsArray": contents
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})
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// Create a filter
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const filter = { "name": documentName };
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// Insert a single document, wait for promise so we can read it back
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// const p = await collection.insertOne(metaforecastDocument);
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await collection.replaceOne(filter, document, { upsert: true });
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console.log(`Pushed document ${documentName} in collection ${collectionName} in database ${databaseName} with approximate size ${roughSizeOfObject(document)} MB`)
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// Find one document
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const myDocument = await collection.findOne(filter);
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// Print to the console
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console.log(`Received document ${documentName} in collection ${collectionName} in database ${databaseName} with approximate size ${roughSizeOfObject(contents)} MB`)
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console.log("Sample: ")
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console.log(JSON.stringify(myDocument.contentsArray.slice(0, 1), null, 4));
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} catch (err) {
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console.log(err.stack);
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}
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finally {
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await client.close();
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}
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}
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export async function pushToMongo(jsObject) {
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let documentName = hashString(JSON.stringify(jsObject)) + "-test"
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upsert(jsonObject, documentName)
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}
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export async function mongoRead(documentName, collectionName = "utitlityFunctionCollection", databaseName = "utilityFunctionExtractorDatabase") {
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const url = process.env.MONGODB_URL
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const client = new MongoClient(url, {
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useNewUrlParser: true,
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useUnifiedTopology: true,
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});
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let documentContents
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try {
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await client.connect();
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console.log(`Connected correctly to server to read ${documentName}`);
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const db = client.db(databaseName);
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// Use the collection "data"
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const collection = db.collection(collectionName);
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// Search options
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const query = { "name": documentName };
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const options = {
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// sort matched documents in descending order by rating
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sort: { rating: -1 },
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};
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// Insert a single document, wait for promise so we can read it back
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// const p = await collection.insertOne(metaforecastDocument);
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const document = await collection.findOne(query, options);
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documentContents = document.contentsArray
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} catch (err) {
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console.log(err.stack);
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}
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finally {
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await client.close();
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}
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console.log(documentContents.slice(0, 1));
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return documentContents
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}
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export async function mongoReadWithReadCredentials(documentName, collectionName = "utitlityFunctionCollection", databaseName = "utilityFunctionExtractorDatabase") {
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const url = "mongodb+srv://metaforecast-frontend:hJr5c9kDhbutBtF1@metaforecastdatabaseclu.wgk8a.mongodb.net/?retryWrites=true&w=majority&useNewUrlParser=true&useUnifiedTopology=true"; // This user only has read permissions, so I'm not excessively worried, and would even be pleased, if someone read this and decided to do something cool with the database.
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const client = new MongoClient(url, {
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useNewUrlParser: true,
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useUnifiedTopology: true,
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});
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let documentContents
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try {
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await client.connect();
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// console.log(`Connected correctly to server to read ${documentName}`);
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const db = client.db(databaseName);
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// Use the collection "data"
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const collection = db.collection(collectionName);
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// Search options
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const query = { "name": documentName };
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const options = {
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// sort matched documents in descending order by rating
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sort: { rating: -1 },
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};
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// Insert a single document, wait for promise so we can read it back
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// const p = await collection.insertOne(metaforecastDocument);
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const document = await collection.findOne(query, options);
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documentContents = document.contentsArray
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} catch (err) {
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console.log(err.stack);
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}
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finally {
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await client.close();
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}
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// console.log(documentContents.slice(0,1));
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return documentContents
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}
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export async function mongoGetAllElements(databaseName = "utilityFunctionExtractorDatabase", collectionName = "utitlityFunctionCollection") {
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const url = process.env.MONGODB_URL
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const client = new MongoClient(url, {
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useNewUrlParser: true,
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useUnifiedTopology: true,
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});
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try {
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await client.connect();
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console.log(`Connected correctly to server`);
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const db = client.db(databaseName);
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// Use the collection "data"
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const collection = db.collection(collectionName);
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// Search options
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const query = ({});
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const options = ({});
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// Insert a single document, wait for promise so we can read it back
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// const p = await collection.insertOne(metaforecastDocument);
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const documents = await collection.find().toArray()
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let documentNames = documents.map(document => ({ name: document.name, roughSizeMBs: roughSizeOfObject(document) }));
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console.log(documentNames)
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} catch (error) {
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console.log(error)
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}
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finally {
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await client.close();
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}
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}
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//mongoGetAllElements()
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//mongoGetAllElements("utilityFunctionExtractorDatabase", "metaforecastHistory")
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