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authorGeo Halkiadakis <gchalkiadakis@sklavenitis.co.gr>2023-03-23 18:48:34 +0200
committerGeo Halkiadakis <gchalkiadakis@sklavenitis.co.gr>2023-03-23 18:48:34 +0200
commit72a4df59fb735b54ad653778224599148e27c02d (patch)
tree5ed48c8e7752c3e2319d84f6ddbf89e275e36833 /javascript/freq_GCF.js
parent88138d708c32feef615521050466d620e5ec6c2c (diff)
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linkeysearch: javascript/* scripts deploying as Google Cloud Funcctions (work in progress)
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+/** freq.js
+ *
+ * this script extracts products' order-frequency
+ * -----------------------------------------------------------------------------
+ *
+ * Contents:
+ * #1 Requirements
+ * #2 Personalized constants and parametres
+ * #3 Supporting functions
+ * #4 Output functions
+ * #5 Entry-point function main()
+ */
+
+// #1
+// REQUIREMENTS
+////////////////////////////////////////////////////////////////////////////////
+
+
+var mysql = require('mysql');
+
+const fs = require('fs');
+
+const os = require('os');
+
+const {Storage} = require('@google-cloud/storage'); // import Google Cloud client library
+
+
+
+
+// #2
+// SETUP PERSONALIZED CONSTANTS AND PARAMETRES
+////////////////////////////////////////////////////////////////////////////////
+
+
+// google-storage parametres
+// --- -- -- - - -
+const projectId = 'pythia-251711';
+// const keyFilename = '../auth/pythia-251711-047e3d5e6608.json';
+
+
+// temp file of frequencies (json)
+const temp_file = os.tmpdir() + '/freq.json';
+
+
+
+// db connection parametres
+// (keep the one that suits your environment; comment out the other)
+// -----------------------------------------------------------------------------
+
+
+// while on Google Cloud Functions
+var con = mysql.createConnection({ // ** check
+ socketPath: "/cloudsql/pythia-251711:europe-west4:pythia-db-eu",
+ user: "pythia_services",
+ password: process.env.DB_PASSWORD,
+ database: "pythia_db"
+});
+
+// MAIN OUTPUT OF THE SCRIPT
+// arrays that need to be constructed and filled with data
+// -----------------------------------------------------------------------------
+
+/** array of product frequencies
+ * array of obj: { id: , fq: }
+ * @var id (int): product's eys code
+ * @var fq (int): (order) frerquency
+ */
+var freq_ = [];
+
+
+
+// #3
+// SUPPORTING FUNCTIONS
+////////////////////////////////////////////////////////////////////////////////
+
+
+
+/** extract frequencies
+ *
+ * @param obj (array): array of products
+ */
+function extract_freq(obj) {
+
+ obj.forEach( rec => {
+ var description = rec.product_description;
+ var fq = rec.FREQuency;
+ var pid = rec.eys_code;
+
+ freq_.push({
+ fq: fq,
+ id: pid
+ });
+ });
+}
+
+
+// #4
+// OUTPUT FUNCTIONS
+////////////////////////////////////////////////////////////////////////////////
+
+// Save Local
+// -----------------------------------------------------------------------------
+function save_local(jsonArray, fileName) {
+ let fileStr = JSON.stringify(jsonArray); // convert json to string
+
+ // write string to file
+ fs.writeFileSync(fileName, fileStr, 'utf8', (err) => {
+ if (err) {
+ console.log("An error occured while writing keywords.json");
+ return console.log(err);
+ }
+ console.log("JSON file has been saved.");
+ });
+
+ return true;
+}
+
+
+// Save to Google Cloud Storage
+// -----------------------------------------------------------------------------
+async function upload_file( bucketName, srcFilePath, trgFilePath ) {
+ // Creates a client
+ const storage = new Storage({projectId, keyFilename});
+
+ try {
+ await storage.bucket(bucketName).upload(srcFilePath, {
+ destination: trgFilePath,
+ gzip: true, // serve compressed
+ metadata: { // cache for 8 hours
+ cacheControl: 'public, max-age=60' // production set: 28800
+ }
+ });
+ console.log(`${srcFilePath} uploaded to ${bucketName}`);
+ }
+ catch(err) {
+ console.error('ERROR:', err);
+ }
+}
+
+
+
+// #5
+// MAIN function (exposed function to run the whole proccess)
+////////////////////////////////////////////////////////////////////////////////
+
+
+/** main()
+ *
+ * nodejs's exported function
+ * used as entry-point function (in case of Google Cloud function)
+ */
+
+exports.main = () => { // google cloud function entry point
+
+ // connect;
+ // get records to proccess;
+ // call main proccess function;
+ // save dictionary;
+ // end script;
+ // -----------------------------------------------------------------------------
+
+ // SQL to get needed data
+ var sql = "SELECT count(pl.eys_code) as FREQuency,\
+ pl.product_id as product_id,\
+ pb.brand_name,\
+ pl.barcode, pl.skl_code, pl.eys_code,\
+ IF( pd.description IS NOT NULL , pd.description , pl.product_description ) AS product_description,\
+ pl.bpcs_code,\
+ pd.image_path\
+ FROM product_list as pl\
+ LEFT JOIN delivery_orders_products AS dop ON dop.product_id = pl.eys_code\
+ LEFT JOIN delivery_orders AS do ON dop.order_id = do.id\
+ LEFT JOIN product_list AS replacement ON dop.replacement_for = replacement.eys_code\
+ LEFT JOIN product_details AS pd ON pl.eys_code = pd.eys_code\
+ LEFT JOIN product_brands pb ON pl.brand_id = pb.id\
+ WHERE pl.active = 1 AND pl.sap_code IS NOT NULL AND pl.product_category_sap_4 NOT LIKE '72%'\
+ GROUP BY pl.product_id\
+ ORDER BY FREQuency DESC\
+ LIMIT 60000";
+
+ // query sql
+ con.query(sql, function (err, result) {
+ if (err) throw err;
+ console.log('Records from database received!')
+
+ extract_freq(result); // proccess
+ console.log('Keywords proccesed!')
+
+ save_local(freq_, temp_file); // save frequencies
+
+ upload_file('pythia-files', temp_file, 'uploads/json/freq.json')
+ .then( () => {
+ console.log('Results saved! Exiting...');
+ process.exit(1);
+ });
+
+ /// // echo memory stats
+ /// const used = process.memoryUsage();
+ /// for (let key in used) {
+ /// console.log(`${key} ${Math.round(used[key] / 1024 / 1024 * 100) / 100} MB`);
+ /// }
+
+ // process.exit(1); // exit
+ });
+}
+