diff options
Diffstat (limited to 'examples/node/generateMultiLevelMultiLocaleJSON.js')
| -rw-r--r-- | examples/node/generateMultiLevelMultiLocaleJSON.js | 70 |
1 files changed, 39 insertions, 31 deletions
diff --git a/examples/node/generateMultiLevelMultiLocaleJSON.js b/examples/node/generateMultiLevelMultiLocaleJSON.js index b4a06765..0603ad6b 100644 --- a/examples/node/generateMultiLevelMultiLocaleJSON.js +++ b/examples/node/generateMultiLevelMultiLocaleJSON.js @@ -1,31 +1,39 @@ -// This example shows the generation of a multilevel object and JSON document using various faker.js features
-// including name, address, company, date and commerce namespaces, moustache expressions and random element production
-// Using the helper function arr, randomly sized collections of elements are produced in the document.
-
-var faker = require('../../index');
-var fs = require('fs');
-// produce array with random number of empty elements
-const arr = (maxNumberOfElements) => new Array(faker.datatype.number({min: 1, max: maxNumberOfElements})).fill()
-
-const locales = ["nl","es","de","fr","en_AU"]
-const company =
- { "name" : faker.company.companyName()
- , "country" : faker.address.country()
- , "departments" : arr(8).map(() => { faker.locale = faker.random.arrayElement(locales)
- return { "name" : faker.commerce.department()
- , "location" : faker.fake("{{address.city}} ({{address.country}})")
- , "employees": arr(20).map(() => {
- return { "name" : faker.fake("{{name.firstName}} {{name.lastName}}")
- , "job" : faker.name.jobTitle()
- , "hiredate" : faker.date.past(12).toISOString().split('T')[0]
- , "salary" : faker.datatype.number(700, 9000)
- }
- })
- }
- })
- }
-
- console.log(JSON.stringify(company))
- fs.writeFile(__dirname + '/companyDataSet.json', JSON.stringify(company), function() {
- console.log("dataSet generated successfully!");
- });
\ No newline at end of file +// This example shows the generation of a multilevel object and JSON document using various faker.js features +// including name, address, company, date and commerce namespaces, moustache expressions and random element production +// Using the helper function arr, randomly sized collections of elements are produced in the document. + +var faker = require('../../lib').faker; +var fs = require('fs'); +// produce array with random number of empty elements +const arr = (maxNumberOfElements) => + new Array(faker.datatype.number({ min: 1, max: maxNumberOfElements })).fill(); + +const locales = ['nl', 'es', 'de', 'fr', 'en_AU']; +const company = { + name: faker.company.companyName(), + country: faker.address.country(), + departments: arr(8).map(() => { + faker.locale = faker.random.arrayElement(locales); + return { + name: faker.commerce.department(), + location: faker.fake('{{address.city}} ({{address.country}})'), + employees: arr(20).map(() => { + return { + name: faker.fake('{{name.firstName}} {{name.lastName}}'), + job: faker.name.jobTitle(), + hiredate: faker.date.past(12).toISOString().split('T')[0], + salary: faker.datatype.number(700, 9000), + }; + }), + }; + }), +}; + +console.log(JSON.stringify(company)); +fs.writeFile( + __dirname + '/companyDataSet.json', + JSON.stringify(company), + function () { + console.log('dataSet generated successfully!'); + } +); |
