mirror of
https://gerrit.wikimedia.org/r/mediawiki/extensions/Echo
synced 2024-11-25 08:15:35 +00:00
2875e3e5dd
Whether we estimate or not, the actual stored count should always be normalized within the range of 0-cap. Estimation should always skip if the current count is at the cap; in that case, the count can only be changed when we get the value from the API through setCount() (used when the value is known, rather than estimated.) Change-Id: Ie8b81a4433e8254ee0e90f59e5b25d727158eecf
86 lines
2 KiB
JavaScript
86 lines
2 KiB
JavaScript
( function ( mw ) {
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QUnit.module( 'ext.echo.dm - mw.echo.dm.UnreadNotificationCounter' );
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QUnit.test( 'Returning capped notifications count', function ( assert ) {
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var i,
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model = new mw.echo.dm.UnreadNotificationCounter(
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null,
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'all', // type
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10 // max
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),
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cases = [
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{ input: 5, output: 5 },
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{ input: 20, output: 11 },
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{ input: 10, output: 10 }
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];
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for ( i = 0; i < cases.length; i++ ) {
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assert.equal(
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model.getCappedNotificationCount( cases[ i ].input ),
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cases[ i ].output,
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'Capped notifications count: ' +
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cases[ i ].input + ' -> ' +
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cases[ i ].output
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);
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}
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} );
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QUnit.test( 'Estimate change', function ( assert ) {
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var model = new mw.echo.dm.UnreadNotificationCounter(
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null,
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'all', // type
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99 // max
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);
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// Set initial
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model.setCount( 50 );
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model.estimateChange( -10 );
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assert.equal(
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model.getCount(),
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40, // 50-10
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'Estimation within range'
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);
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model.estimateChange( 70 );
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assert.equal(
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model.getCount(),
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100, // Estimation reached above cap - cap is set
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'Estimation brings count to cap'
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);
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model.estimateChange( -10 );
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assert.equal(
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model.getCount(),
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100, // We are already above cap, count will not change
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'Estimation while counter is outside of cap - no change'
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);
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} );
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QUnit.test( 'Emitting countChange event', function ( assert ) {
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var results = [],
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model = new mw.echo.dm.UnreadNotificationCounter(
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null,
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'all', // type
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99 // max
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);
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// Listen to event
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model.on( 'countChange', function ( count ) {
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results.push( count );
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} );
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// Trigger events
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model.setCount( 50 ); // [ 50 ]
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model.setCount( 300, true ); // (estimate, above max, bring to cap) [ 50, 100 ]
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model.setCount( -1, true ); // (estimate while counter is above cap, no event) [ 50, 100 ]
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model.setCount( 200 ); // (setting above cap, value is capped, same as current, no event) [ 50,100 ]
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model.setCount( 10 ); // [ 50, 100, 10 ]
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assert.deepEqual(
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results,
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[ 50, 100, 10 ],
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'countChange events emitted.'
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);
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} );
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} )( mediaWiki );
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