jasmine-cookies

Jasmine Cookies

Jasmine Cookies is a module with several helper functions.

It

This helper is a wrapper around jasmine it which adds user-friendly filtering. Test will be launched only in case if test name passes filtering expression (if no expression provided all tests will run by default).

Code sample:

const Test = require("jasmine-cookies");

Test.Describe("...", () => {
    Test.It('test id 101', async () => {
        ...
    });
});

Filter expression samples:

`Test.conditionalFilter("foo OR bar")` // choose only tests which name contains 'foo' and 'bar'
`Test.conditionalFilter('"hello world" OR bar')` // choose only tests which name contains 'hello world' and 'bar'
`Test.conditionalFilter("foo OR ( bar AND id )")` // choose only tests which name contains 'foo' or (contains 'bar' and contains 'id')
`Test.conditionalFilter("foo | ( bar & !id )")` // choose only tests which name contains 'foo' or (contains 'bar' and don't contains 'id')
`Test.conditionalFilter("foo OR bar")` // choose only tests which name contains 'foo' or 'bar'
`Test.conditionalFilter("NOT foo OR bar")` // choose only tests which name don't contains 'foo' or contains 'bar'

Note:

• Test.conditionalFilter(...) should be called before any It or pIt, or it can be set in environment variable JASMINE_COOKIES_FILTER
• special characters (| & !) are now allowed in text (i.e. Test.conditionalFilter('"hello world!"') is not valid expression)
• filter expression will be applied to concatenated Describe and It/pIt descriptions, DO NOT USE 'raw' jasmine describe with It's!

pIt

This helper is a wrapper around jasmine it which adds parametrized testing (when same test performs on multiple data sets). Basically pIt performs data processing and run It on each data set using description property as test name.

Possible data sources:

• any[] - javascript objects array
  • code sample:

    const Test = require("jasmine-cookies");
    const pIt = Test.pIt;
    
    const dataSource = [
        { description: 'test 1', a: 1, b: 2},
        { description: 'test 2', a: 3, b: 4},
        { description: 'test 3', a: 5, b: 6}
    ];
    pIt({data: {type: TestDataSourceType.DATA_ARRAY, source: dataSource}}, async (params) => {
        console.log(`params.a is ${params.a}`);
        console.log(`params.b is ${params.b}`);
    });
    

  • output:

    "test 1"
      params.a is 1
      params.b is 2
    
    "test 2"
      params.a is 3
      params.b is 4
    
    "test 3"
      params.a is 5
      params.b is 6
    

• json from json file
  • code sample:

    const path = require("path");
    const Test = require("jasmine-cookies");
    const pIt = Test.pIt;
    
    const jsonPath = path.resolve('./path_to_json_file.json'); //convert relative path to absolute
    
    pIt({data: {type: TestDataSourceType.DATA_ARRAY, source: require(jsonpath)}}, async (params) => {
        ...
    });
    

• xlsx/xlsm - using Excel tables as a source. Excel table transforms json using xlsx and csv-to-deep-json libs:
  • code sample:

    const path = require("path");
    const Test = require("jasmine-cookies");
    
    const filePath = path.resolve('./file/path/to/sheet.xlsx'); //convert relative path to absolute
    
    Test.pIt({data: {type: TestDataSourceType.XLSX, xlsxFilePath: filePath}}, async (params) => {
      ...
    });