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Merge branch 'jira-2871' into 'master'

[DEV-2871] Added DocumentProgramFormatter to format program data by step, group and field metadata

See merge request floss/liza!31
master
Mark Goldsmith 2018-06-15 16:25:47 -04:00
commit 48cae2bb4d
5 changed files with 1120 additions and 108 deletions

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@ -0,0 +1,218 @@
/**
* Formats program bucket data
*
* Copyright (C) 2018 R-T Specialty, LLC.
*
* This file is part of the Liza Data Collection Framework.
*
* liza is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
"use strict";
const Class = require( 'easejs' ).Class;
/**
* Formats program bucket data
*
* This takes a document and formats the bucket data in a
* structured manner of steps, groups and fields metadata
*/
module.exports = Class( 'DocumentProgramFormatter',
{
/**
* Current program
*
* @type {Program}
*/
'private _program': null,
/**
* Performs classification matching on fields
*
* A field will have a positive match for a given index if all of its
* classes match
*
* @type {FieldClassMatcher}
*/
'private _class_matcher': null,
/**
* Initialize document formatter
*
* @param {Program} program active program
* @param {FieldClassMatcher} class_matcher class/field matcher
*/
constructor( program, class_matcher )
{
this._program = program;
this._class_matcher = class_matcher;
},
/**
* Formats document data into structure similar to program
*
* @param {Bucket} bucket document bucket
*
* @return {Promise.<Object>} a promise of a data object
*/
'public format'( bucket )
{
return new Promise( ( resolve, reject ) =>
{
const cmatch = this._program.classify( bucket.getData() );
this._class_matcher.match( cmatch, ( matches ) =>
{
const len = this._program.steps.length;
const data = this._parseSteps( len, bucket, matches );
resolve( data );
} );
} );
},
/**
* Parses step data
*
* @param {Number} len step length
* @param {Bucket} bucket document bucket
* @param {Object} matches field matches
*
* @return {Object} step data
*/
'private _parseSteps'( len, bucket, matches )
{
const data = { steps: [] };
for ( let i = 1; i < len; i++ )
{
const step = {};
const step_groups = this._program.steps[ i ].groups;
const groups = this._parseGroups( step_groups, bucket, matches );
step.title = this._program.steps[ i ].title;
step.groups = groups;
data.steps.push( step );
}
return data;
},
/**
* Parses group data
*
* @param {Array} step_groups array of group data
* @param {Bucket} bucket document bucket
* @param {Object} matches field matches
*
* @return {Array} array of groups
*/
'private _parseGroups'( step_groups, bucket, matches )
{
return step_groups.map( group_id =>
{
const fields = this._program.groupExclusiveFields[ group_id ];
const { title, link } = this._program.groups[ group_id ];
return {
id: group_id,
title: title || "",
link: link || "",
questions: this._parseFields( fields, bucket, matches ),
};
} );
},
/**
* Parses fields/question data
*
* @param {Array} fields array of field data
* @param {Bucket} bucket document bucket
* @param {Object} matches field matches
*
* @return {Array} array of questions
*/
'private _parseFields'( fields, bucket, matches )
{
const questions = [];
for ( let field in fields )
{
const field_id = fields[ field ];
// Don't include fields that are not in program.fields
if ( typeof this._program.fields[ field_id ] === "undefined" )
{
continue;
}
const value = bucket.getDataByName( field_id );
const { label, type } = this._program.fields[ field_id ];
questions.push( {
id: field_id,
label: label || "",
value: value,
type: type || "",
applicable: this._getApplicable( matches, field_id, value ),
} );
}
return questions;
},
/**
* Determine when a field is shown by index
* Map boolean values of [0, 1] to [true, false]
*
* @param {Object} matches field matches
* @param {String} field_id id of field
* @param {Object} field_value field object
*
* @return {Array.<boolean>} array of booleans
*/
'private _getApplicable'( matches, field_id, field_value )
{
// If object is undefined, default to array of true
if ( typeof matches[ field_id ] === "undefined" )
{
return field_value.map( _ => true );
}
const indexes = matches[ field_id ].indexes;
const all_match = matches[ field_id ].all;
if ( indexes.length > 0 )
{
// Map indexes of 0, 1 to true, false
return indexes.map( x => !!x );
}
else
{
return field_value.map( _ => all_match );
}
},
} );

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@ -1,7 +1,7 @@
/**
* Contains FieldClassMatcher class
* Reduce field predicate results into vectors and flags
*
* Copyright (C) 2017 R-T Specialty, LLC.
* Copyright (C) 2018 R-T Specialty, LLC.
*
* This file is part of the Liza Data Collection Framework.
*
@ -19,12 +19,21 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
var Class = require( 'easejs' ).Class;
'use strict';
const { Class } = require( 'easejs' );
/**
* Generates match sets for field based on their classifications and a given
* classification set
* Generate match vector for fields given field predicates and
* classification results
*
* TODO: Support for multiple predicates on fields is for
* backwards-compatibility with older classification systems; newer systems
* generate a single classification representing the visibility of the
* field, allowing the classification reduction complexity and logic to stay
* within TAME. Much of the complexity in this class can therefore be
* removed in the future.
*/
module.exports = Class( 'FieldClassMatcher',
{
@ -40,7 +49,7 @@ module.exports = Class( 'FieldClassMatcher',
*
* @param {Object.<Array.<string>>} fields field names and their classes
*/
__construct: function( fields )
constructor( fields )
{
this._fields = fields;
},
@ -58,97 +67,99 @@ module.exports = Class( 'FieldClassMatcher',
*
* @return {FieldClassMatcher} self
*/
'public match': function( classes, callback )
'public match'( classes, callback )
{
var cmatch = {};
cmatch.__classes = classes;
for ( var field in this._fields )
{
var cur = this._fields[ field ],
vis = [],
all = true,
hasall = false;
if ( cur.length === 0 )
{
continue;
}
// determine if we have a match based on the given classifications
for ( var c in cur )
{
// if the indexes property is a scalar, then it applies to all
// indexes
var data = ( classes[ cur[ c ] ] || {} ),
thisall = ( typeof data.indexes !== 'object' ),
alltrue = ( !thisall || data.indexes === 1 );
// if no indexes apply for the given classification (it may be a
// pure boolean), then this variable will be true if any only if
// all of them are true. Note that we only want to take the
// value of thisall if we're on our first index, as if hasall is
// empty thereafter, then all of them certainly aren't true!
hasall = ( hasall || ( thisall && +c === 0 ) );
// this will ensure that, if we've already determined some sort
// of visibility, that encountering a scalar will still manage
// to affect previous results even if it is the last
// classification that we are checking
var indexes = ( thisall ) ? vis : data.indexes;
for ( var i in indexes )
{
// default to visible; note that, if we've encountered any
// "all index" situations (scalars), then we must only be
// true if the scalar value was true
vis[ i ] = (
( !hasall || all )
&& ( ( vis[ i ] === undefined )
? 1
: vis[ i ]
)
&& this._reduceMatch(
( thisall ) ? data.indexes : data.indexes[ i ]
)
);
// all are true unless one is false (duh?)
alltrue = !!( alltrue && vis[ i ] );
}
all = ( all && alltrue );
}
// default 'any' to 'all'; this will have the effect of saying "yes
// there are matches, but we don't care what" if there are no
// indexes associated with the match, implying that all indexes
// should match
var any = all;
for ( var i = 0, len = vis.length; i < len; i++ )
{
if ( vis[ i ] )
{
any = true;
break;
}
}
// store the classification match data for assertions, etc
cmatch[ field ] = {
all: all,
any: any,
indexes: vis
};
}
// currently not asynchronous, but leaves open the possibility
callback( cmatch );
callback(
Object.keys( this._fields ).reduce(
( cmatch, id ) =>
{
cmatch[ id ] = this._reduceFieldMatches(
this._fields[ id ],
classes
), cmatch;
return cmatch;
},
{ __classes: classes }
)
);
return this;
},
/**
* Reduce field class matches to a vector
*
* All field predicates in FIELDC will be reduced and combined into a
* single vector representing the visibility of each index.
*
* @param {Array} fieldc field predicate class names
* @param {Object} classes cmatch results
*
* @return {Object} all, any, indexes
*/
'private _reduceFieldMatches'( fieldc, classes )
{
const vis = [];
let all = true;
let hasall = false;
// determine if we have a match based on the given classifications
for ( let c in fieldc )
{
// if the indexes property is a scalar, then it applies to all
// indexes
const data = ( classes[ fieldc[ c ] ] || {} );
const thisall = !Array.isArray( data.indexes );
let alltrue = ( !thisall || data.indexes === 1 );
// if no indexes apply for the given classification (it may be a
// pure boolean), then this variable will be true if any only if
// all of them are true. Note that we only want to take the
// value of thisall if we're on our first index, as if hasall is
// empty thereafter, then all of them certainly aren't true!
hasall = ( hasall || ( thisall && +c === 0 ) );
// this will ensure that, if we've already determined some sort
// of visibility, that encountering a scalar will still manage
// to affect previous results even if it is the last
// classification that we are checking
const indexes = ( thisall ) ? vis : data.indexes;
for ( let i in indexes )
{
// default to visible; note that, if we've encountered any
// "all index" situations (scalars), then we must only be
// true if the scalar value was true
vis[ i ] = +(
( !hasall || all )
&& ( ( vis[ i ] === undefined )
? 1
: vis[ i ]
)
&& this._reduceMatch(
( thisall ) ? data.indexes : data.indexes[ i ]
)
);
}
alltrue = alltrue && vis.every( x => x );
all = ( all && alltrue );
}
// store the classification match data for assertions, etc
return {
all: all,
any: all || vis.some( x => !!x ),
indexes: vis
};
},
/**
* Reduces the given scalar or vector
*
@ -164,27 +175,13 @@ module.exports = Class( 'FieldClassMatcher',
*
* @return {number} 0 if false otherwise 1 for true
*/
'private _reduceMatch': function( result )
'private _reduceMatch'( result )
{
if ( ( result === undefined )
|| ( result === null )
|| ( result.length === undefined )
)
if ( !Array.isArray( result ) )
{
return result;
return !!result;
}
var ret = false,
i = result.length;
// reduce with logical or
while( i-- )
{
// recurse just in case we have another array of values
ret = ret || this._reduceMatch( result[ i ] );
}
return +ret;
return +result.some( x => this._reduceMatch( x ) );
}
} );

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@ -53,6 +53,14 @@ const {
DataApiManager,
},
document: {
DocumentProgramFormatter,
},
field: {
FieldClassMatcher,
},
server: {
DocumentServer,
@ -450,6 +458,23 @@ function doRoute( program, request, data, resolve, reject )
} );
} );
}
else if ( cmd == 'progdata' )
{
acquireReadLock( quote_id, request, function()
{
handleRequest( function( quote )
{
const response = UserResponse( request );
const bucket = quote.getBucket();
const class_matcher = FieldClassMatcher( program.whens );
DocumentProgramFormatter( program, class_matcher )
.format( bucket )
.then( data => response.ok( data ) )
.catch( e => response.error( e ) );
} );
} );
}
else if ( cmd === 'mkrev' )
{
// the database operation for this is atomic and disjoint from

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@ -0,0 +1,287 @@
/**
* Test of DocumentProgramFormatter
*
* Copyright (C) 2018 R-T Specialty, LLC.
*
* This file is part of liza.
*
* liza is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
*/
'use strict';
const chai = require( 'chai' );
const expect = chai.expect;
const {
document: {
DocumentProgramFormatter: Sut,
},
} = require( '../../' );
chai.use( require( 'chai-as-promised' ) );
describe( 'DocumentProgramFormatter', () =>
{
it( "formats bucket data by steps, groups and fields", () =>
{
const bucket_data = {
alcohol_shown: [ "foo", "" ],
alcohol_not_shown: [ "" ],
ecigs_shown_twice: [ "foo", "bar" ],
ecigs_not_shown: [ "" ],
field_no_label: [ "" ],
field_no_vis: [ "true" ],
field_empty_array_any_true: [ "bar" ],
field_empty_array_any_false: [ "" ]
};
const expected_object = {
steps: [
{
title: "Manage Quote",
groups: []
},
{
title: "General Information",
groups: [
{
id: "group_one",
title: "Group One",
link: "locations",
questions: [
{
id: "alcohol_shown",
label: "Alcohol?",
value: [ "foo", "" ],
type: "noyes",
applicable: [ true, false ]
},
{
id: "alcohol_not_shown",
label: "No alcohol?",
value: [ "" ],
type: "noyes",
applicable: [ false ]
},
{
id: "field_no_vis",
label: "Is this field found in FieldMatcher?",
value: [ "true" ],
type: "noyes",
applicable: [ true ]
}
]
},
{
id: "group_two",
title: "",
link: "",
questions: [
{
id: "ecigs_shown_twice",
label: "Two ecig answers?",
value: [ "foo", "bar" ],
type: "noyes",
applicable: [ true, true ]
},
{
id: "ecigs_not_shown",
label: "No ecigs?",
value: [ "" ],
type: "noyes",
applicable: [ false ]
},
{
id: "field_empty_array_any_true",
label: "Empty match array?",
value: [ "bar" ],
type: "noyes",
applicable: [ true ]
},
{
id: "field_empty_array_any_false",
label: "Empty match array and 'any' is false?",
value: [ "" ],
type: "noyes",
applicable: [ false ]
}
]
}
]
}
]
};
const bucket = createStubBucket( bucket_data );
const program = createStubProgram();
const class_matcher = createStubClassMatcher();
return expect(
Sut( program, class_matcher ).format( bucket )
).to.eventually.deep.equal( expected_object );
} );
} );
function createStubClassMatcher()
{
return {
match( _, callback )
{
callback({
"__classes": {
'--vis-foo': { is: true, indexes: [1,0] },
},
"alcohol_shown": {
"all": false,
"any": true,
"indexes": [1, 0]
},
"alcohol_not_shown": {
"all": false,
"any": false,
"indexes": [0]
},
"ecigs_shown_twice": {
"all": false,
"any": true,
"indexes": [1, 1]
},
"ecigs_not_shown": {
"all": false,
"any": false,
"indexes": []
},
"field_empty_array_any_false": {
"all": false,
"any": false,
"indexes": []
},
"field_empty_array_any_true": {
"all": true,
"any": true,
"indexes": []
},
}) ;
}
}
}
function createStubBucket( metadata )
{
return {
getDataByName: name => metadata[ name ],
getData()
{
return metadata;
},
};
}
function createStubProgram()
{
return {
steps: [
{
title: "Index 0"
},
{
title: "Manage Quote",
groups: []
},
{
title: "General Information",
groups: [ 'group_one', 'group_two' ]
}
],
classify( bucket_data )
{
return {}
},
groups:
{
'group_one':
{
title: "Group One",
link: "locations"
},
'group_two': {},
},
fields:
{
alcohol_shown:
{
label: "Alcohol?",
type: "noyes",
required: "true",
},
alcohol_not_shown:
{
label: "No alcohol?",
type: "noyes",
required: "true"
},
ecigs_shown_twice:
{
label: "Two ecig answers?",
type: "noyes",
required: "true"
},
ecigs_not_shown:
{
label: "No ecigs?",
type: "noyes",
required: "true"
},
field_empty_array_any_true:
{
label: "Empty match array?",
type: "noyes",
required: "true"
},
field_empty_array_any_false:
{
label: "Empty match array and 'any' is false?",
type: "noyes",
required: "true"
},
field_no_vis:
{
label: "Is this field found in FieldMatcher?",
type: "noyes",
required: "true"
}
},
groupExclusiveFields:
{
'group_one': [
"alcohol_shown",
"alcohol_not_shown",
"field_no_label",
"field_no_vis"
],
'group_two': [
"ecigs_shown_twice",
"ecigs_not_shown",
"field_empty_array_any_true",
"field_empty_array_any_false"
],
},
};
}

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@ -0,0 +1,485 @@
/**
* Test case for FieldVisibilityEventHandler
*
* Copyright (C) 2018 R-T Specialty, LLC.
*
* This file is part of the Liza Data Collection Framework
*
* Liza is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
const expect = require( 'chai' ).expect;
const { FieldClassMatcher: Sut } = require( '../../' ).field;
describe( 'FieldClassMatcher', () =>
{
it( "echoes provided classes as __classes", done =>
{
const classes = { foo: [ 1 ], bar: 0 };
Sut( {} ).match( classes, result =>
{
expect( result.__classes ).to.deep.equal( classes );
done();
} );
} );
[
{
label: "does nothing with no fields or classes",
fields: {},
classes: {},
expected: {},
},
{
label: "sets all on >0 scalar cmatch",
fields: { foo: [ 'foowhen' ] },
classes: { foowhen: { indexes: 1 } },
expected: {
foo: {
all: true,
any: true,
indexes: [],
},
},
},
{
label: "sets none on 0 scalar cmatch",
fields: { foo: [ 'foowhen' ] },
classes: { foowhen: { indexes: 0 } },
expected: {
foo: {
all: false,
any: false,
indexes: [],
},
},
},
{
label: "sets all on all vector cmatch",
fields: { foo: [ 'foowhen' ] },
classes: { foowhen: { indexes: [ 1, 1 ] } },
expected: {
foo: {
all: true,
any: true,
indexes: [ 1, 1 ],
},
},
},
{
label: "sets any on partial vector cmatch",
fields: { foo: [ 'foowhen' ] },
classes: { foowhen: { indexes: [ 0, 1 ] } },
expected: {
foo: {
all: false,
any: true,
indexes: [ 0, 1 ],
},
},
},
{
label: "sets nothing on empty vector cmatch",
fields: { foo: [ 'foowhen' ] },
classes: { foowhen: { indexes: [ 0, 0 ] } },
expected: {
foo: {
all: false,
any: false,
indexes: [ 0, 0 ],
},
},
},
// bad class data
{
label: "handles missing class as if scalar 0",
fields: { foo: [ 'noexist' ] },
classes: {},
expected: {
foo: {
all: false,
any: false,
indexes: [],
},
},
},
// multiple classes
{
label: "logical ANDs multiple vector classes (any)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 1, 0 ] },
foowhen2: { indexes: [ 1, 1 ] },
},
expected: {
foo: {
all: false,
any: true,
indexes: [ 1, 0 ],
},
},
},
{
label: "logical ANDs multiple vector classes (all)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 1, 1 ] },
foowhen2: { indexes: [ 1, 1 ] },
},
expected: {
foo: {
all: true,
any: true,
indexes: [ 1, 1 ],
},
},
},
{
label: "logical ANDs multiple vector classes (none)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 0, 0 ] },
foowhen2: { indexes: [ 0, 0 ] },
},
expected: {
foo: {
all: false,
any: false,
indexes: [ 0, 0 ],
},
},
},
{
label: "assumes match when ANDing varying lengths (any)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 0 ] },
foowhen2: { indexes: [ 0, 1 ] },
},
expected: {
foo: {
all: false,
any: true,
indexes: [ 0, 1 ],
},
},
},
{
label: "assumes match when ANDing varying lengths (all)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 1 ] },
foowhen2: { indexes: [ 1, 1 ] },
},
expected: {
foo: {
all: true,
any: true,
indexes: [ 1, 1 ],
},
},
},
{
label: "assumes match when ANDing varying lengths (none)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 0 ] },
foowhen2: { indexes: [ 0, 0 ] },
},
expected: {
foo: {
all: false,
any: false,
indexes: [ 0, 0 ],
},
},
},
{
label: "logically ANDs scalar with vector (any)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: 1 },
foowhen2: { indexes: [ 0, 1, 0 ] },
},
expected: {
foo: {
all: false,
any: true,
indexes: [ 0, 1, 0 ],
},
},
},
{
label: "logically ANDs scalar with vector (all)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: 1 },
foowhen2: { indexes: [ 1, 1 ] },
},
expected: {
foo: {
all: true,
any: true,
indexes: [ 1, 1 ],
},
},
},
{
label: "logically ANDs scalar with vector (none)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: 0 },
foowhen2: { indexes: [ 1, 1 ] },
},
expected: {
foo: {
all: false,
any: false,
indexes: [ 0, 0 ],
},
},
},
{
label: "logically ANDs scalar with vector (rev, any)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 0, 1, 0 ] },
foowhen2: { indexes: 1 },
},
expected: {
foo: {
all: false,
any: true,
indexes: [ 0, 1, 0 ],
},
},
},
{
label: "logically ANDs scalar with vector (rev, all)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 1, 1 ] },
foowhen2: { indexes: 1 },
},
expected: {
foo: {
all: true,
any: true,
indexes: [ 1, 1 ],
},
},
},
{
label: "logically ANDs scalar with vector (rev, none)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ 1, 1 ] },
foowhen2: { indexes: 0 },
},
expected: {
foo: {
all: false,
any: false,
indexes: [ 0, 0 ],
},
},
},
{
label: "logically ANDs scalar with scalar (all)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: 1 },
foowhen2: { indexes: 1 },
},
expected: {
foo: {
all: true,
any: true,
indexes: [],
},
},
},
{
label: "logically ANDs scalar with scalar (none 0)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: 0 },
foowhen2: { indexes: 0 },
},
expected: {
foo: {
all: false,
any: false,
indexes: [],
},
},
},
{
label: "logically ANDs scalar with scalar (none 1)",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: 0 },
foowhen2: { indexes: 1 },
},
expected: {
foo: {
all: false,
any: false,
indexes: [],
},
},
},
// matrix cmatch
{
label: "logically ORs matrix cmatch (single)",
fields: { foo: [ 'foowhen' ] },
classes: {
foowhen: { indexes: [ [ 1 ] ] },
},
expected: {
foo: {
all: true,
any: true,
indexes: [ 1 ],
},
},
},
{
label: "logically ORs matrix cmatch (any)",
fields: { foo: [ 'foowhen' ] },
classes: {
foowhen: { indexes: [ [ 1 ], [ 0, 1 ], [ 0, 1 ], [ 0, 0 ] ] },
},
expected: {
foo: {
all: false,
any: true,
indexes: [ 1, 1, 1, 0 ],
},
},
},
{
label: "logically ORs matrix cmatch (all)",
fields: { foo: [ 'foowhen' ] },
classes: {
foowhen: { indexes: [ [ 1 ], [ 0, 1 ], [ 0, 1 ] ] },
},
expected: {
foo: {
all: true,
any: true,
indexes: [ 1, 1, 1 ],
},
},
},
{
label: "logically AND's logically OR'd matrix cmatches",
fields: { foo: [ 'foowhen1', 'foowhen2' ] },
classes: {
foowhen1: { indexes: [ [ 0 ], [ 0, 1 ], [ 1 ] ] },
foowhen2: { indexes: [ [ 0 ], [ 0, 1 ], [ 0 ] ] },
},
expected: {
foo: {
all: false,
any: true,
indexes: [ 0, 1, 0 ],
},
},
},
// arbitrary nesting
{
label: "logically ORs arbitrarily nested vectors",
fields: { foo: [ 'foowhen' ] },
classes: {
foowhen: { indexes: [ [ [ 0 ], [ 0, 1 ] ], [ [ [ 0 ] ] ] ] },
},
expected: {
foo: {
all: false,
any: true,
indexes: [ 1, 0 ],
},
},
},
// multiple fields
{
label: "sets multiple fields",
fields: { foo: [ 'foowhen' ], bar: [ 'barwhen' ] },
classes: {
foowhen: { indexes: [ 0, 0 ] },
barwhen: { indexes: [ 1, 1 ] },
},
expected: {
foo: {
all: false,
any: false,
indexes: [ 0, 0 ],
},
bar: {
all: true,
any: true,
indexes: [ 1, 1 ],
},
},
},
{
label: "sets all for fields with no predicates",
fields: { foo: [] },
classes: {},
expected: {
foo: {
all: true,
any: true,
indexes: [],
}
},
},
].forEach( ( { label, fields, classes, expected } ) =>
{
it( label, done =>
{
// no use in specifying this above every time
expected.__classes = classes;
Sut( fields ).match( classes, result =>
{
expect( result ).to.deep.equal( expected );
done();
} );
} );
} );
} );