consts

Documentation

Index

• Constants
• Variables
• type IntentSearchOptions
• type PositionIndexType
• type SearchFilterType

Constants

const (
	// Collection Types
	CT_ARTICLES           = "ARTICLES"
	CT_BOOKS              = "BOOKS"
	CT_CHILDREN_LESSONS   = "CHILDREN_LESSONS"
	CT_CLIPS              = "CLIPS"
	CT_CONGRESS           = "CONGRESS"
	CT_DAILY_LESSON       = "DAILY_LESSON"
	CT_FRIENDS_GATHERINGS = "FRIENDS_GATHERINGS"
	CT_HOLIDAY            = "HOLIDAY"
	CT_LECTURE_SERIES     = "LECTURE_SERIES"
	CT_LESSONS_SERIES     = "LESSONS_SERIES"
	CT_MEALS              = "MEALS"
	CT_PICNIC             = "PICNIC"
	CT_SONGS              = "SONGS"
	CT_SPECIAL_LESSON     = "SPECIAL_LESSON"
	CT_UNITY_DAY          = "UNITY_DAY"
	CT_VIDEO_PROGRAM      = "VIDEO_PROGRAM"
	CT_VIRTUAL_LESSONS    = "VIRTUAL_LESSONS"
	CT_WOMEN_LESSONS      = "WOMEN_LESSONS"

	// Content Unit Types
	CT_ARTICLE               = "ARTICLE"
	CT_BLOG_POST             = "BLOG_POST"
	CT_BOOK                  = "BOOK"
	CT_CHILDREN_LESSON       = "CHILDREN_LESSON"
	CT_CLIP                  = "CLIP"
	CT_EVENT_PART            = "EVENT_PART"
	CT_FRIENDS_GATHERING     = "FRIENDS_GATHERING"
	CT_FULL_LESSON           = "FULL_LESSON"
	CT_KITEI_MAKOR           = "KITEI_MAKOR"
	CT_LECTURE               = "LECTURE"
	CT_LELO_MIKUD            = "LELO_MIKUD"
	CT_LESSON_PART           = "LESSON_PART"
	CT_MEAL                  = "MEAL"
	CT_PUBLICATION           = "PUBLICATION"
	CT_RESEARCH_MATERIAL     = "RESEARCH_MATERIAL"
	CT_KTAIM_NIVCHARIM       = "KTAIM_NIVCHARIM"
	CT_SONG                  = "SONG"
	CT_TRAINING              = "TRAINING"
	CT_UNKNOWN               = "UNKNOWN"
	CT_VIDEO_PROGRAM_CHAPTER = "VIDEO_PROGRAM_CHAPTER"
	CT_VIRTUAL_LESSON        = "VIRTUAL_LESSON"
	CT_WOMEN_LESSON          = "WOMEN_LESSON"
	CT_SOURCE                = "SOURCE"
	CT_LIKUTIM               = "LIKUTIM"

	// Content types for additional Elastic results
	SCT_BLOG_POST = "R_BLOG_POST"
	SCT_TWEET     = "R_TWEET"

	// Content Role types
	CR_LECTURER = "LECTURER"

	// Persons patterns
	P_RAV = "rav"

	// Source types
	SRC_TYPE_COLLECTION = 1
	SRC_TYPE_BOOK       = 2
	SRC_TYPE_VOLUME     = 3
	SRC_TYPE_PART       = 4
	SRC_TYPE_PARASHA    = 5
	SRC_TYPE_CHAPTER    = 6
	SRC_TYPE_ARTICLE    = 7
	SRC_TYPE_TITLE      = 8
	SRC_TYPE_LETTER     = 9
	SRC_TYPE_ITEM       = 10

	// Security levels
	SEC_PUBLIC    = int16(0)
	SEC_SENSITIVE = int16(1)
	SEC_PRIVATE   = int16(2)

	// Weight of 'sources' and 'collections' autocomplete results (assigned at index time)
	ES_SOURCES_SUGGEST_DEFAULT_WEIGHT     = 50
	ES_COLLECTIONS_SUGGEST_DEFAULT_WEIGHT = 40

	ES_GRAMMAR_SUGGEST_DEFAULT_WEIGHT = 100

	// Languages
	LANG_ENGLISH    = "en"
	LANG_HEBREW     = "he"
	LANG_RUSSIAN    = "ru"
	LANG_SPANISH    = "es"
	LANG_ITALIAN    = "it"
	LANG_GERMAN     = "de"
	LANG_DUTCH      = "nl"
	LANG_FRENCH     = "fr"
	LANG_PORTUGUESE = "pt"
	LANG_TURKISH    = "tr"
	LANG_POLISH     = "pl"
	LANG_ARABIC     = "ar"
	LANG_HUNGARIAN  = "hu"
	LANG_FINNISH    = "fi"
	LANG_LITHUANIAN = "lt"
	LANG_JAPANESE   = "ja"
	LANG_BULGARIAN  = "bg"
	LANG_GEORGIAN   = "ka"
	LANG_NORWEGIAN  = "no"
	LANG_SWEDISH    = "sv"
	LANG_CROATIAN   = "hr"
	LANG_CHINESE    = "zh"
	LANG_PERSIAN    = "fa"
	LANG_ROMANIAN   = "ro"
	LANG_HINDI      = "hi"
	LANG_UKRAINIAN  = "ua"
	LANG_MACEDONIAN = "mk"
	LANG_SLOVENIAN  = "sl"
	LANG_LATVIAN    = "lv"
	LANG_SLOVAK     = "sk"
	LANG_CZECH      = "cs"
	LANG_AMHARIC    = "am"
	LANG_MULTI      = "zz"
	LANG_UNKNOWN    = "xx"
)

const (
	INTENTS_SEARCH_DEFAULT_COUNT              = 10
	INTENTS_SEARCH_BY_FILTER_GRAMMAR_COUNT    = 2
	TWEETS_SEARCH_COUNT                       = 20
	INTENTS_MIN_UNITS                         = 3
	MAX_CLASSIFICATION_INTENTS                = 3
	API_DEFAULT_PAGE_SIZE                     = 50
	API_MAX_PAGE_SIZE                         = 1000
	MIN_RESULTS_SCORE_TO_IGNOGRE_TYPO_SUGGEST = 100
	// Consider making a carusele and not limiting.
	MAX_MATCHES_PER_GRAMMAR_INTENT                  = 3
	FILTER_GRAMMAR_INCREMENT_FOR_MATCH_TO_FULL_TERM = 200
	CONTENT_TYPE_INTENTS_BOOST                      = 8.0 // For priority between several filter intent types
	SCORE_INCREMENT_FOR_SEARCH_WITHOUT_TERM_RESULTS = 200.0
	MAX_GRAMMAR_INTENTS_FOR_FILTER_SEARCH           = 4
)

const (
	SORT_BY_RELEVANCE      = "relevance"
	SORT_BY_NEWER_TO_OLDER = "newertoolder"
	SORT_BY_OLDER_TO_NEWER = "oldertonewer"
	SORT_BY_SOURCE_FIRST   = "sourcefirst"
)

const (
	FILTER_TAG                       = "tag"
	FILTER_START_DATE                = "start_date"
	FILTER_END_DATE                  = "end_date"
	FILTER_SOURCE                    = "source"
	FILTER_AUTHOR                    = "author"
	FILTER_UNITS_CONTENT_TYPES       = "units_content_types"
	FILTER_COLLECTIONS_CONTENT_TYPES = "collections_content_types"
	FILTER_SECTION_SOURCES           = "filter_section_sources"
	FILTER_LANGUAGE                  = "media_language"
	FILTER_COLLECTION                = "collection"
)

const (
	MEDIA_MP4  = "video/mp4"
	MEDIA_MP3  = "audio/mpeg"
	MEDIA_MP3a = "audio/mpeg"
	MEDIA_MP3b = "audio/mp3"
)

const (
	INTENT_TYPE_TAG    = "tag"
	INTENT_TYPE_SOURCE = "source"

	INTENT_INDEX_TAG         = "intent-tag"
	INTENT_INDEX_SOURCE      = "intent-source"
	INTENT_HIT_TYPE_PROGRAMS = "programs"
	INTENT_HIT_TYPE_LESSONS  = "lessons"
)

Search intents

const (
	GRAMMAR_INDEX = "grammar"

	GRAMMAR_TYPE_FILTER              = "filter"
	GRAMMAR_TYPE_FILTER_WITHOUT_TERM = "filter_without_term"
	GRAMMAR_TYPE_LANDING_PAGE        = "landing-page"
	GRAMMAR_TYPE_CLASSIFICATION      = "classification"

	GRAMMAR_INTENT_FILTER_BY_CONTENT_TYPE         = "by_content_type"
	GRAMMAR_INTENT_FILTER_BY_SOURCE               = "by_source"
	GRAMMAR_INTENT_FILTER_BY_PROGRAM              = "by_program"
	GRAMMAR_INTENT_FILTER_BY_PROGRAM_WITHOUT_TERM = "by_program_without_term"
	GRAMMAR_INTENT_SOURCE_POSITION_WITHOUT_TERM   = "source_position_without_term"
	GRAMMAR_INTENT_PROGRAM_POSITION_WITHOUT_TERM  = "program_position_without_term"

	GRAMMAR_LP_SINGLE_COLLECTION = "grammar_landing_page_single_collection_from_sql"
	GRAMMAR_GENERATED_CU_HIT     = "grammar_generated_content_unit_hit"
	GRAMMAR_GENERATED_SOURCE_HIT = "grammar_generated_source_hit"

	GRAMMAR_INTENT_LANDING_PAGE_LESSONS            = "lessons"
	GRAMMAR_INTENT_LANDING_PAGE_VIRTUAL_LESSONS    = "virtual_lessons"
	GRAMMAR_INTENT_LANDING_PAGE_LECTURES           = "lectures"
	GRAMMAR_INTENT_LANDING_PAGE_WOMEN_LESSONS      = "women_lessons"
	GRAMMAR_INTENT_LANDING_PAGE_RABASH_LESSONS     = "rabash_lessons"
	GRAMMAR_INTENT_LANDING_PAGE_LESSON_SERIES      = "lesson_series"
	GRAMMAR_INTENT_LANDING_PAGE_PRORGRAMS          = "programs"
	GRAMMAR_INTENT_LANDING_PAGE_CLIPS              = "clips"
	GRAMMAR_INTENT_LANDING_PAGE_LIBRARY            = "library"
	GRAMMAR_INTENT_LANDING_PAGE_GROUP_ARTICLES     = "group_articles"
	GRAMMAR_INTENT_LANDING_PAGE_CONVENTIONS        = "conventions"
	GRAMMAR_INTENT_LANDING_PAGE_HOLIDAYS           = "holidays"
	GRAMMAR_INTENT_LANDING_PAGE_UNITY_DAYS         = "unity_days"
	GRAMMAR_INTENT_LANDING_PAGE_FRIENDS_GATHERINGS = "friends_gatherings"
	GRAMMAR_INTENT_LANDING_PAGE_MEALS              = "meals"
	GRAMMAR_INTENT_LANDING_PAGE_TOPICS             = "topics"
	GRAMMAR_INTENT_LANDING_PAGE_BLOG               = "blog"
	GRAMMAR_INTENT_LANDING_PAGE_TWITTER            = "twitter"
	GRAMMAR_INTENT_LANDING_PAGE_ARTICLES           = "articles"
	GRAMMAR_INTENT_LANDING_PAGE_DOWNLOADS          = "downloads"
	GRAMMAR_INTENT_LANDING_PAGE_HELP               = "help"
)

const (
	VAR_YEAR                = "$Year"
	VAR_CONVENTION_LOCATION = "$ConventionLocation"
	VAR_TEXT                = "$Text"
	VAR_HOLIDAYS            = "$Holidays"
	VAR_CONTENT_TYPE        = "$ContentType"
	VAR_SOURCE              = "$Source"
	VAR_POSITION            = "$Position"
	VAR_DIVISION_TYPE       = "$DivisionType"
	VAR_PROGRAM             = "$Program"
	VAR_RESTRICTED          = "$Restricted" // Search terms that privent triggering grammar engine.

	VAR_CT_PROGRAMS        = "programs"
	VAR_CT_ARTICLES        = "articles"
	VAR_CT_LESSONS         = "lessons"
	VAR_CT_CLIPS           = "clips"
	VAR_CT_SOURCES         = "sources"
	VAR_CT_BOOK_TITLES     = "books_titles"
	VAR_CT_MEALS           = "meals"
	VAR_CT_BLOG            = "blog"
	VAR_CT_VIRTUAL_LESSONS = "virtual_lessons"
	VAR_CT_WOMEN_LESSONS   = "women_lessons"

	VAR_DIV_ARTICLE = "article"
	VAR_DIV_CHAPTER = "chapter"
	VAR_DIV_VOLUME  = "volume"
	VAR_DIV_PART    = "part"
	VAR_DIV_NUMBER  = "number"
)

const (
	LAT_DOSEARCH                                = "DoSearch"
	LAT_DOSEARCH_MULTISEARCHDO                  = "DoSearch.MultisearchDo"
	LAT_DOSEARCH_MULTISEARCHHIGHLIGHTSDO        = "DoSearch.MultisearcHighlightsDo"
	LAT_DOSEARCH_ADDINTENTS                     = "DoSearch.AddIntents"
	LAT_DOSEARCH_ADDINTENTS_FIRSTROUNDDO        = "DoSearch.AddIntents.FirstRoundDo"
	LAT_DOSEARCH_ADDINTENTS_SECONDROUNDDO       = "DoSearch.AddIntents.SecondRoundDo"
	LAT_DOSEARCH_MULTISEARCHTWEETSDO            = "DoSearch.MultisearchTweetsDo"
	LAT_DOSEARCH_TYPOSUGGESTDO                  = "DoSearch.TypoSuggestDo"
	LAT_GETSUGGESTIONS                          = "GetSuggestions"
	LAT_SUGGEST_SUGGESTIONS                     = "GetSuggestions.SuggestSuggestions"
	LAT_GETSUGGESTIONS_MULTISEARCHDO            = "GetSuggestions.MultisearchDo"
	LAT_DOSEARCH_GRAMMARS_MULTISEARCHGRAMMARSDO = "DoSearch.SearchGrammars.MultisearchGrammarsDo"
	LAT_DOSEARCH_GRAMMARS_MULTISEARCHFILTERDO   = "DoSearch.SearchGrammars.MultisearchFilterDo"
	LAT_DOSEARCH_GRAMMARS_RESULTSTOINTENTS      = "DoSearch.SearchGrammars.ResultsToIntents"
)

Latency log

const (
	PROGRAM_COLLECTION_HAPITARON            = "MvD8Dk2S"
	PROGRAM_COLLECTION_NEW_LIFE             = "zf4lLwyI"
	PROGRAM_COLLECTION_WRITERS_MEETING      = "CwdCR0xR"
	PROGRAM_COLLECTION_EL_MUNDO             = "t9oGIcN5"
	PROGRAM_COLLECTION_NASHIM_BEOLAM_HADASH = "2v7UzleG"
	PROGRAM_COLLECTION_GLOBAL_PERSPECTIVES  = "n0xqPUd0"
	PROGRAM_COLLECTION_NEWS_IN_RUSSIAN      = "SmssHWWs"

	ARTICLE_COLLECTION_NEW_LIFE             = "suS7S4KN"
	ARTICLE_COLLECTION_WRITERS_MEETING      = "dHLMoKlp"
	ARTICLE_COLLECTION_EL_MUNDO             = "QjclHot5"
	ARTICLE_COLLECTION_NASHIM_BEOLAM_HADASH = "Rqd7RNhm"
	ARTICLE_COLLECTION_GLOBAL_PERSPECTIVES  = "1UDYTmy3"
	ARTICLE_COLLECTION_NEWS_IN_RUSSIAN      = "xW7rPwDd"
)

const (
	SRC_SHAMATI                               = "qMUUn22b"
	SRC_NONE_ELSE_BESIDE_HIM                  = "hFeGidcS"
	SRC_PEACE_ARCTICLE                        = "28Cmp7gl"
	SRC_PEACE_IN_WORLD_ARTICLE                = "hqUTKcZz"
	SRC_ARVUT_ARTICLE                         = "itcVAcFn"
	SRC_RABASH_ASSORTED_NOTES                 = "2GAdavz0"
	SRC_THE_ROSE_ARTICLE                      = "yUcfylRm"
	SRC_LETTERS_RABASH                        = "b8SHlrfH"
	SRC_ARTICLES_RABASH                       = "rQ6sIUZK"
	SRC_ARTICLES_BAAL_SULAM                   = "qMeV5M3Y"
	SRC_BAAL_SULAM_ARTICLES_LETTERS_SUMMARIES = "QUBP2DYe"
	SRC_BAAL_SULAM_WRITINGS_CAMPUS_RU         = "8Y0f8Jg9"
	SRC_CONNECTING_TO_THE_SOURCE              = "wWm6fbn4"
	SRC_ZOHAR_FOR_ALL_VOL_12                  = "oau8jvcD"
)

const CDN = "https://cdn.kabbalahmedia.info/"

const ES_RESULTS_INDEX = "results"

ElasticSearch 'es'

const ES_RESULT_TYPE = "result_type"

Result type

const ES_RESULT_TYPE_BLOG_POSTS = "posts"

const ES_RESULT_TYPE_COLLECTIONS = "collections"

const ES_RESULT_TYPE_SOURCES = "sources"

const ES_RESULT_TYPE_TAGS = "tags"

const ES_RESULT_TYPE_TWEETS = "tweets"

const ES_RESULT_TYPE_UNITS = "units"

const ES_UID_TYPE_BLOG_POST = "blog_post"

const ES_UID_TYPE_COLLECTION = "collection"

const ES_UID_TYPE_CONTENT_UNIT = "content_unit"

Typed UIDs and Filter

const ES_UID_TYPE_FILE = "file"

const ES_UID_TYPE_SOURCE = "source"

const ES_UID_TYPE_TAG = "tag"

const ES_UID_TYPE_TWEET = "tweet"

const SEARCH_RESULT_TWEETS_MANY = "tweets_many"

Result of many tweets in one hit

const TOKEN_CACHE_SIZE = 10000

TokensCache LRU cache size

Variables

var ALL_KNOWN_LANGS = [...]string{
	LANG_ENGLISH, LANG_HEBREW, LANG_RUSSIAN, LANG_SPANISH, LANG_ITALIAN, LANG_GERMAN, LANG_DUTCH, LANG_FRENCH,
	LANG_PORTUGUESE, LANG_TURKISH, LANG_POLISH, LANG_ARABIC, LANG_HUNGARIAN, LANG_FINNISH, LANG_LITHUANIAN,
	LANG_JAPANESE, LANG_BULGARIAN, LANG_GEORGIAN, LANG_NORWEGIAN, LANG_SWEDISH, LANG_CROATIAN, LANG_CHINESE,
	LANG_PERSIAN, LANG_ROMANIAN, LANG_HINDI, LANG_MACEDONIAN, LANG_SLOVENIAN, LANG_LATVIAN, LANG_SLOVAK, LANG_CZECH,
	LANG_UKRAINIAN, LANG_AMHARIC,
}

var ALL_SRC_TYPES = []int64{
	SRC_TYPE_COLLECTION, SRC_TYPE_BOOK, SRC_TYPE_VOLUME, SRC_TYPE_PART, SRC_TYPE_PARASHA, SRC_TYPE_CHAPTER, SRC_TYPE_ARTICLE, SRC_TYPE_TITLE, SRC_TYPE_LETTER, SRC_TYPE_ITEM,
}

var ANALYZERS = map[string]string{
	LANG_AMHARIC:    "standard",
	LANG_ARABIC:     "arabic",
	LANG_BULGARIAN:  "bulgarian",
	LANG_CZECH:      "czech",
	LANG_GERMAN:     "german",
	LANG_ENGLISH:    "english_synonym",
	LANG_SPANISH:    "spanish_synonym",
	LANG_PERSIAN:    "persian",
	LANG_FINNISH:    "finnish",
	LANG_FRENCH:     "french",
	LANG_HEBREW:     "hebrew_synonym",
	LANG_HINDI:      "hindi",
	LANG_CROATIAN:   "standard",
	LANG_HUNGARIAN:  "hungarian",
	LANG_ITALIAN:    "italian",
	LANG_JAPANESE:   "cjk",
	LANG_GEORGIAN:   "standard",
	LANG_LITHUANIAN: "lithuanian",
	LANG_LATVIAN:    "latvian",
	LANG_MACEDONIAN: "standard",
	LANG_DUTCH:      "dutch",
	LANG_NORWEGIAN:  "norwegian",
	LANG_POLISH:     "standard",
	LANG_PORTUGUESE: "portuguese",
	LANG_ROMANIAN:   "romanian",
	LANG_RUSSIAN:    "russian_synonym",
	LANG_SLOVAK:     "standard",
	LANG_SLOVENIAN:  "standard",
	LANG_SWEDISH:    "swedish",
	LANG_TURKISH:    "turkish",
	LANG_UKRAINIAN:  "standard",
	LANG_CHINESE:    "cjk",
}

var ARTICLE_COLLECTION_TO_PROGRAM_COLLECTION = map[string]string{
	ARTICLE_COLLECTION_NEW_LIFE:             PROGRAM_COLLECTION_NEW_LIFE,
	ARTICLE_COLLECTION_WRITERS_MEETING:      PROGRAM_COLLECTION_WRITERS_MEETING,
	ARTICLE_COLLECTION_EL_MUNDO:             PROGRAM_COLLECTION_EL_MUNDO,
	ARTICLE_COLLECTION_NASHIM_BEOLAM_HADASH: PROGRAM_COLLECTION_NASHIM_BEOLAM_HADASH,
	ARTICLE_COLLECTION_GLOBAL_PERSPECTIVES:  PROGRAM_COLLECTION_GLOBAL_PERSPECTIVES,
	ARTICLE_COLLECTION_NEWS_IN_RUSSIAN:      PROGRAM_COLLECTION_NEWS_IN_RUSSIAN,
}

var AUTO_INTENTS_BY_SOURCE_NAME_SUPPORTED_FILTERS = map[string]bool{
	FILTERS[FILTER_UNITS_CONTENT_TYPES]:       true,
	FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: true,
	FILTERS[FILTER_SECTION_SOURCES]:           true,
}

If these filters present, we automatically add some search results when the search term is identical to source name.

var CODE2LANG = map[string]string{
	"ENG": LANG_ENGLISH,
	"HEB": LANG_HEBREW,
	"RUS": LANG_RUSSIAN,
	"SPA": LANG_SPANISH,
	"ITA": LANG_ITALIAN,
	"GER": LANG_GERMAN,
	"DUT": LANG_DUTCH,
	"FRE": LANG_FRENCH,
	"POR": LANG_PORTUGUESE,
	"TRK": LANG_TURKISH,
	"POL": LANG_POLISH,
	"ARB": LANG_ARABIC,
	"HUN": LANG_HUNGARIAN,
	"FIN": LANG_FINNISH,
	"LIT": LANG_LITHUANIAN,
	"JPN": LANG_JAPANESE,
	"BUL": LANG_BULGARIAN,
	"GEO": LANG_GEORGIAN,
	"NOR": LANG_NORWEGIAN,
	"SWE": LANG_SWEDISH,
	"HRV": LANG_CROATIAN,
	"CHN": LANG_CHINESE,
	"PER": LANG_PERSIAN,
	"RON": LANG_ROMANIAN,
	"HIN": LANG_HINDI,
	"UKR": LANG_UKRAINIAN,
	"MKD": LANG_MACEDONIAN,
	"SLV": LANG_SLOVENIAN,
	"LAV": LANG_LATVIAN,
	"SLK": LANG_SLOVAK,
	"CZE": LANG_CZECH,
	"AMH": LANG_AMHARIC,
}

var CT_VARIABLES_ENABLE_SOURCES_SEARCH = map[string]bool{
	VAR_CT_ARTICLES:    true,
	VAR_CT_SOURCES:     true,
	VAR_CT_BOOK_TITLES: true,
}

var CT_VARIABLE_TO_FILTER_VALUES = map[string]map[string][]string{
	VAR_CT_PROGRAMS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_VIDEO_PROGRAM_CHAPTER},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_VIDEO_PROGRAM},
	},
	VAR_CT_ARTICLES: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_ARTICLE},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_ARTICLES},
	},
	VAR_CT_LESSONS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_LESSON_PART, CT_FULL_LESSON},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_DAILY_LESSON},
	},
	VAR_CT_CLIPS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]: []string{CT_CLIP},
	},
	VAR_CT_MEALS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_MEAL},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_MEALS},
	},
	VAR_CT_BLOG: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]: []string{CT_BLOG_POST, SCT_BLOG_POST},
	},
	VAR_CT_VIRTUAL_LESSONS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_VIRTUAL_LESSON},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_VIRTUAL_LESSONS},
	},
	VAR_CT_WOMEN_LESSONS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_WOMEN_LESSON},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_WOMEN_LESSONS},
	},
}

Grammar $ContentType variables to content type filters mapping.

var ES_ALL_RESULT_TYPES = []string{
	ES_RESULT_TYPE_UNITS,
	ES_RESULT_TYPE_TAGS,
	ES_RESULT_TYPE_SOURCES,
	ES_RESULT_TYPE_COLLECTIONS,
	ES_RESULT_TYPE_BLOG_POSTS,
	ES_RESULT_TYPE_TWEETS,
}

var ES_GRAMMAR_DIVT_TYPE_TO_SOURCE_TYPES = map[string][]int64{
	VAR_DIV_ARTICLE: []int64{SRC_TYPE_ARTICLE},
	VAR_DIV_CHAPTER: []int64{SRC_TYPE_CHAPTER, SRC_TYPE_ARTICLE, SRC_TYPE_LETTER},
	VAR_DIV_VOLUME:  []int64{SRC_TYPE_VOLUME},
	VAR_DIV_PART:    []int64{SRC_TYPE_PART},
	VAR_DIV_NUMBER:  []int64{SRC_TYPE_CHAPTER, SRC_TYPE_ARTICLE, SRC_TYPE_LETTER},
}

var ES_GRAMMAR_PROGRAM_SUPPORTED_DIV_TYPES = map[string]bool{
	VAR_DIV_CHAPTER: true,
	VAR_DIV_NUMBER:  true,
}

var ES_INTENT_SUPPORTED_CONTENT_TYPES = map[string]bool{
	CT_LESSON_PART:           true,
	CT_LECTURE:               true,
	CT_VIRTUAL_LESSON:        true,
	CT_CHILDREN_LESSON:       true,
	CT_WOMEN_LESSON:          true,
	CT_VIDEO_PROGRAM_CHAPTER: true,
	CT_FULL_LESSON:           true,
	CT_CLIP:                  true,
}

var ES_INTENT_SUPPORTED_FILTERS = map[string]bool{
	FILTERS[FILTER_UNITS_CONTENT_TYPES]:       true,
	FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: true,
	FILTER_TAG:    true,
	FILTER_SOURCE: true,
}

var ES_SEARCH_RESULT_TYPES = []string{
	ES_RESULT_TYPE_UNITS,
	ES_RESULT_TYPE_SOURCES,
	ES_RESULT_TYPE_COLLECTIONS,
	ES_RESULT_TYPE_BLOG_POSTS,
}

ES_RESULT_TYPE_TWEETS is not part of the array since it's searched in parallel to other results search

var ES_SRC_ADD_MAAMAR_TO_SUGGEST = map[string]bool{
	SRC_PEACE_ARCTICLE:         true,
	SRC_PEACE_IN_WORLD_ARTICLE: true,
	SRC_ARVUT_ARTICLE:          true,
	SRC_THE_ROSE_ARTICLE:       true,
}

We used to name this articles with the prefix word "maamar" (article). We will suggest the correct source result when the user types their name with the prefix "maamar".

var ES_SRC_PARENTS_FOR_CHAPTER_POSITION_INDEX = map[string]PositionIndexType{
	SRC_SHAMATI:               LETTER_IF_HEBREW,
	SRC_RABASH_ASSORTED_NOTES: ALWAYS_NUMBER,
}

var ES_SUGGEST_SOURCES_WEIGHT = map[string]float64{
	SRC_NONE_ELSE_BESIDE_HIM:   200,
	SRC_PEACE_ARCTICLE:         120,
	SRC_PEACE_IN_WORLD_ARTICLE: 120,
	SRC_ARVUT_ARTICLE:          210,
}

var ES_SUGGEST_SUPPORTED_GRAMMAR_RULES = map[string]bool{
	GRAMMAR_INTENT_LANDING_PAGE_LESSONS:            true,
	GRAMMAR_INTENT_LANDING_PAGE_VIRTUAL_LESSONS:    true,
	GRAMMAR_INTENT_LANDING_PAGE_LECTURES:           true,
	GRAMMAR_INTENT_LANDING_PAGE_WOMEN_LESSONS:      true,
	GRAMMAR_INTENT_LANDING_PAGE_RABASH_LESSONS:     true,
	GRAMMAR_INTENT_LANDING_PAGE_LESSON_SERIES:      true,
	GRAMMAR_INTENT_LANDING_PAGE_PRORGRAMS:          true,
	GRAMMAR_INTENT_LANDING_PAGE_CLIPS:              true,
	GRAMMAR_INTENT_LANDING_PAGE_LIBRARY:            true,
	GRAMMAR_INTENT_LANDING_PAGE_GROUP_ARTICLES:     true,
	GRAMMAR_INTENT_LANDING_PAGE_CONVENTIONS:        true,
	GRAMMAR_INTENT_LANDING_PAGE_HOLIDAYS:           true,
	GRAMMAR_INTENT_LANDING_PAGE_UNITY_DAYS:         true,
	GRAMMAR_INTENT_LANDING_PAGE_FRIENDS_GATHERINGS: true,
	GRAMMAR_INTENT_LANDING_PAGE_MEALS:              true,
	GRAMMAR_INTENT_LANDING_PAGE_TOPICS:             true,
	GRAMMAR_INTENT_LANDING_PAGE_BLOG:               true,
	GRAMMAR_INTENT_LANDING_PAGE_TWITTER:            true,
	GRAMMAR_INTENT_LANDING_PAGE_ARTICLES:           true,
	GRAMMAR_INTENT_LANDING_PAGE_DOWNLOADS:          true,
	GRAMMAR_INTENT_LANDING_PAGE_HELP:               true,
}

Note: Suggest is not indexed anyway for rules with "free text" variables.

var FILTERS = map[string]string{
	FILTER_TAG:                       "tag",
	FILTER_START_DATE:                "start_date",
	FILTER_END_DATE:                  "end_date",
	FILTER_SOURCE:                    "source",
	FILTER_AUTHOR:                    "source",
	FILTER_UNITS_CONTENT_TYPES:       "content_type",
	FILTER_COLLECTIONS_CONTENT_TYPES: "collection_content_type",
	FILTER_SECTION_SOURCES:           "filter_section_sources",
	FILTER_LANGUAGE:                  "media_language",
	FILTER_COLLECTION:                "collection",
}

Use to identify and map request filters Maps frontend filter name to backend filter name which is index field name. Query will have backend filter names.

var GRAMMAR_INTENTS_TO_FILTER_VALUES = map[string]map[string][]string{

	GRAMMAR_INTENT_LANDING_PAGE_LESSONS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_LESSON_PART, CT_FULL_LESSON},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_DAILY_LESSON},
	},
	GRAMMAR_INTENT_LANDING_PAGE_VIRTUAL_LESSONS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_VIRTUAL_LESSON},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_VIRTUAL_LESSONS},
	},
	GRAMMAR_INTENT_LANDING_PAGE_LECTURES: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_LECTURE},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_LECTURE_SERIES},
	},
	GRAMMAR_INTENT_LANDING_PAGE_WOMEN_LESSONS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_WOMEN_LESSON},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_WOMEN_LESSONS},
	},
	GRAMMAR_INTENT_LANDING_PAGE_RABASH_LESSONS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_LESSON_PART},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_DAILY_LESSON},
	},
	GRAMMAR_INTENT_LANDING_PAGE_LESSON_SERIES: map[string][]string{
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_LESSONS_SERIES},
	},
	GRAMMAR_INTENT_LANDING_PAGE_PRORGRAMS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_VIDEO_PROGRAM_CHAPTER},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_VIDEO_PROGRAM},
	},
	GRAMMAR_INTENT_LANDING_PAGE_CLIPS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]: []string{CT_CLIP},
	},
	GRAMMAR_INTENT_LANDING_PAGE_LIBRARY: map[string][]string{
		FILTERS[FILTER_SECTION_SOURCES]: []string{""},
	},
	GRAMMAR_INTENT_LANDING_PAGE_GROUP_ARTICLES: map[string][]string{
		FILTERS[FILTER_SECTION_SOURCES]: []string{""},
	},
	GRAMMAR_INTENT_LANDING_PAGE_CONVENTIONS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_EVENT_PART},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_CONGRESS},
	},
	GRAMMAR_INTENT_LANDING_PAGE_HOLIDAYS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_EVENT_PART},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_HOLIDAY},
	},
	GRAMMAR_INTENT_LANDING_PAGE_UNITY_DAYS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_EVENT_PART},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_UNITY_DAY},
	},
	GRAMMAR_INTENT_LANDING_PAGE_FRIENDS_GATHERINGS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_FRIENDS_GATHERING},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_FRIENDS_GATHERINGS},
	},
	GRAMMAR_INTENT_LANDING_PAGE_MEALS: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_MEAL},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_MEALS},
	},
	GRAMMAR_INTENT_LANDING_PAGE_TOPICS: nil,
	GRAMMAR_INTENT_LANDING_PAGE_BLOG: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_BLOG_POST, SCT_BLOG_POST},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_ARTICLES},
	},
	GRAMMAR_INTENT_LANDING_PAGE_TWITTER: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{SCT_TWEET},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_ARTICLES},
	},
	GRAMMAR_INTENT_LANDING_PAGE_ARTICLES: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_ARTICLE, CT_PUBLICATION},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_ARTICLES},
	},
	GRAMMAR_INTENT_LANDING_PAGE_DOWNLOADS: nil,
	GRAMMAR_INTENT_LANDING_PAGE_HELP:      nil,

	GRAMMAR_INTENT_SOURCE_POSITION_WITHOUT_TERM: map[string][]string{
		FILTERS[FILTER_SECTION_SOURCES]:           []string{""},
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_LESSON_PART, CT_FULL_LESSON, CT_VIDEO_PROGRAM_CHAPTER},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_DAILY_LESSON, CT_VIDEO_PROGRAM},
	},

	GRAMMAR_INTENT_PROGRAM_POSITION_WITHOUT_TERM: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_VIDEO_PROGRAM_CHAPTER},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_VIDEO_PROGRAM},
	},

	GRAMMAR_INTENT_FILTER_BY_CONTENT_TYPE: nil,

	GRAMMAR_INTENT_FILTER_BY_SOURCE: map[string][]string{
		FILTERS[FILTER_SECTION_SOURCES]: []string{""},
		FILTERS[FILTER_UNITS_CONTENT_TYPES]: []string{CT_LESSON_PART, CT_FULL_LESSON, CT_VIDEO_PROGRAM_CHAPTER, CT_VIRTUAL_LESSON, CT_LECTURE,
			CT_WOMEN_LESSON, CT_EVENT_PART, CT_FRIENDS_GATHERING, CT_MEAL},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_DAILY_LESSON, CT_VIDEO_PROGRAM, CT_VIRTUAL_LESSONS, CT_LECTURE_SERIES, CT_LECTURE_SERIES,
			CT_CONGRESS, CT_HOLIDAY, CT_UNITY_DAY, CT_FRIENDS_GATHERINGS, CT_MEALS},
	},

	GRAMMAR_INTENT_FILTER_BY_PROGRAM: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_VIDEO_PROGRAM_CHAPTER},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_VIDEO_PROGRAM},
	},

	GRAMMAR_INTENT_FILTER_BY_PROGRAM_WITHOUT_TERM: map[string][]string{
		FILTERS[FILTER_UNITS_CONTENT_TYPES]:       []string{CT_VIDEO_PROGRAM_CHAPTER},
		FILTERS[FILTER_COLLECTIONS_CONTENT_TYPES]: []string{CT_VIDEO_PROGRAM},
	},
}

Map from intent to filters, i.e., filter name to list of values.

var I18N_LANG_ORDER = map[string][]string{
	"":              {LANG_ENGLISH},
	LANG_ENGLISH:    {LANG_ENGLISH},
	LANG_HEBREW:     {LANG_HEBREW, LANG_ENGLISH},
	LANG_RUSSIAN:    {LANG_RUSSIAN, LANG_ENGLISH},
	LANG_SPANISH:    {LANG_SPANISH, LANG_ENGLISH},
	LANG_ITALIAN:    {LANG_ITALIAN, LANG_ENGLISH},
	LANG_GERMAN:     {LANG_GERMAN, LANG_ENGLISH},
	LANG_DUTCH:      {LANG_DUTCH, LANG_ENGLISH},
	LANG_FRENCH:     {LANG_FRENCH, LANG_ENGLISH},
	LANG_PORTUGUESE: {LANG_PORTUGUESE, LANG_ENGLISH},
	LANG_TURKISH:    {LANG_TURKISH, LANG_ENGLISH},
	LANG_POLISH:     {LANG_POLISH, LANG_ENGLISH},
	LANG_ARABIC:     {LANG_ARABIC, LANG_ENGLISH},
	LANG_HUNGARIAN:  {LANG_HUNGARIAN, LANG_ENGLISH},
	LANG_FINNISH:    {LANG_FINNISH, LANG_ENGLISH},
	LANG_LITHUANIAN: {LANG_LITHUANIAN, LANG_RUSSIAN, LANG_ENGLISH},
	LANG_JAPANESE:   {LANG_JAPANESE, LANG_ENGLISH},
	LANG_BULGARIAN:  {LANG_BULGARIAN, LANG_ENGLISH},
	LANG_GEORGIAN:   {LANG_GEORGIAN, LANG_RUSSIAN, LANG_ENGLISH},
	LANG_NORWEGIAN:  {LANG_NORWEGIAN, LANG_ENGLISH},
	LANG_SWEDISH:    {LANG_SWEDISH, LANG_ENGLISH},
	LANG_CROATIAN:   {LANG_CROATIAN, LANG_ENGLISH},
	LANG_CHINESE:    {LANG_CHINESE, LANG_ENGLISH},
	LANG_PERSIAN:    {LANG_PERSIAN, LANG_ENGLISH},
	LANG_ROMANIAN:   {LANG_ROMANIAN, LANG_ENGLISH},
	LANG_HINDI:      {LANG_HINDI, LANG_ENGLISH},
	LANG_UKRAINIAN:  {LANG_UKRAINIAN, LANG_RUSSIAN, LANG_ENGLISH},
	LANG_MACEDONIAN: {LANG_MACEDONIAN, LANG_ENGLISH},
	LANG_SLOVENIAN:  {LANG_SLOVENIAN, LANG_ENGLISH},
	LANG_LATVIAN:    {LANG_LATVIAN, LANG_ENGLISH},
	LANG_SLOVAK:     {LANG_SLOVAK, LANG_ENGLISH},
	LANG_CZECH:      {LANG_CZECH, LANG_ENGLISH},
	LANG_AMHARIC:    {LANG_AMHARIC, LANG_ENGLISH},
}

var INTENT_HIT_TYPE_BY_CT = map[string]string{
	CT_LESSON_PART:           INTENT_HIT_TYPE_LESSONS,
	CT_VIDEO_PROGRAM_CHAPTER: INTENT_HIT_TYPE_PROGRAMS,
}

var INTENT_INDEX_BY_TYPE = map[string]string{
	INTENT_TYPE_TAG:    INTENT_INDEX_TAG,
	INTENT_TYPE_SOURCE: INTENT_INDEX_SOURCE,
}

Fake index for intents.

var INTENT_OPTIONS_BY_GRAMMAR_CT_VARIABLES = map[string]IntentSearchOptions{
	VAR_CT_PROGRAMS: IntentSearchOptions{
		SearchSources: true,
		SearchTags:    true,
		ContentTypes:  []string{CT_VIDEO_PROGRAM_CHAPTER},
	},
	VAR_CT_ARTICLES: IntentSearchOptions{
		SearchSources: true,
		SearchTags:    false,
		ContentTypes:  []string{CT_VIDEO_PROGRAM_CHAPTER, CT_LESSON_PART},
	},
	VAR_CT_LESSONS: IntentSearchOptions{
		SearchSources: true,
		SearchTags:    true,
		ContentTypes:  []string{CT_LESSON_PART},
	},
	VAR_CT_BOOK_TITLES: IntentSearchOptions{
		SearchSources: true,
		SearchTags:    false,
		ContentTypes:  []string{CT_VIDEO_PROGRAM_CHAPTER, CT_LESSON_PART},
	},
}

var LANG2CODE = map[string]string{
	LANG_ENGLISH:    "ENG",
	LANG_HEBREW:     "HEB",
	LANG_RUSSIAN:    "RUS",
	LANG_SPANISH:    "SPA",
	LANG_ITALIAN:    "ITA",
	LANG_GERMAN:     "GER",
	LANG_DUTCH:      "DUT",
	LANG_FRENCH:     "FRE",
	LANG_PORTUGUESE: "POR",
	LANG_TURKISH:    "TRK",
	LANG_POLISH:     "POL",
	LANG_ARABIC:     "ARB",
	LANG_HUNGARIAN:  "HUN",
	LANG_FINNISH:    "FIN",
	LANG_LITHUANIAN: "LIT",
	LANG_JAPANESE:   "JPN",
	LANG_BULGARIAN:  "BUL",
	LANG_GEORGIAN:   "GEO",
	LANG_NORWEGIAN:  "NOR",
	LANG_SWEDISH:    "SWE",
	LANG_CROATIAN:   "HRV",
	LANG_CHINESE:    "CHN",
	LANG_PERSIAN:    "PER",
	LANG_ROMANIAN:   "RON",
	LANG_HINDI:      "HIN",
	LANG_UKRAINIAN:  "UKR",
	LANG_MACEDONIAN: "MKD",
	LANG_SLOVENIAN:  "SLV",
	LANG_LATVIAN:    "LAV",
	LANG_SLOVAK:     "SLK",
	LANG_CZECH:      "CZE",
	LANG_AMHARIC:    "AMH",
}

var LATENCY_LOG_OPERATIONS_FOR_SEARCH = []string{
	LAT_DOSEARCH,
	LAT_DOSEARCH_MULTISEARCHDO,
	LAT_DOSEARCH_MULTISEARCHHIGHLIGHTSDO,
	LAT_DOSEARCH_ADDINTENTS,
	LAT_DOSEARCH_ADDINTENTS_FIRSTROUNDDO,
	LAT_DOSEARCH_ADDINTENTS_SECONDROUNDDO,
	LAT_DOSEARCH_MULTISEARCHTWEETSDO,
	LAT_DOSEARCH_TYPOSUGGESTDO,
	LAT_DOSEARCH_GRAMMARS_MULTISEARCHGRAMMARSDO,
	LAT_DOSEARCH_GRAMMARS_MULTISEARCHFILTERDO,
}

var NOT_TO_INCLUDE_IN_SOURCE_BY_POSITION = []string{
	SRC_LETTERS_RABASH, SRC_ARTICLES_RABASH, SRC_ARTICLES_BAAL_SULAM,
}

var RESULT_TYPE_BY_INDEX_TYPE = map[string]string{
	INTENT_TYPE_TAG:    ES_RESULT_TYPE_TAGS,
	INTENT_TYPE_SOURCE: ES_RESULT_TYPE_SOURCES,
}

var SEARCH_LANG_ORDER = map[string][]string{
	"":           {LANG_ENGLISH},
	LANG_ENGLISH: {LANG_ENGLISH},
	LANG_HEBREW:  {LANG_HEBREW, LANG_ENGLISH},
	LANG_RUSSIAN: {LANG_RUSSIAN, LANG_ENGLISH},

	LANG_SPANISH:    {LANG_ENGLISH, LANG_SPANISH},
	LANG_ITALIAN:    {LANG_ENGLISH, LANG_ITALIAN},
	LANG_GERMAN:     {LANG_ENGLISH, LANG_GERMAN},
	LANG_DUTCH:      {LANG_ENGLISH, LANG_DUTCH},
	LANG_FRENCH:     {LANG_ENGLISH, LANG_FRENCH},
	LANG_PORTUGUESE: {LANG_ENGLISH, LANG_PORTUGUESE},
	LANG_TURKISH:    {LANG_ENGLISH, LANG_TURKISH},
	LANG_POLISH:     {LANG_ENGLISH, LANG_POLISH},
	LANG_ARABIC:     {LANG_ENGLISH, LANG_ARABIC},
	LANG_HUNGARIAN:  {LANG_ENGLISH, LANG_HUNGARIAN},
	LANG_FINNISH:    {LANG_ENGLISH, LANG_FINNISH},
	LANG_LITHUANIAN: {LANG_ENGLISH, LANG_LITHUANIAN},
	LANG_JAPANESE:   {LANG_ENGLISH, LANG_JAPANESE},

	LANG_BULGARIAN: {LANG_RUSSIAN, LANG_BULGARIAN, LANG_ENGLISH},
	LANG_GEORGIAN:  {LANG_ENGLISH, LANG_GEORGIAN},
	LANG_NORWEGIAN: {LANG_ENGLISH, LANG_NORWEGIAN},
	LANG_SWEDISH:   {LANG_ENGLISH, LANG_SWEDISH},
	LANG_CROATIAN:  {LANG_ENGLISH, LANG_CROATIAN},
	LANG_CHINESE:   {LANG_ENGLISH, LANG_CHINESE},
	LANG_PERSIAN:   {LANG_ENGLISH, LANG_PERSIAN},
	LANG_ROMANIAN:  {LANG_ENGLISH, LANG_ROMANIAN},
	LANG_HINDI:     {LANG_ENGLISH, LANG_HINDI},

	LANG_UKRAINIAN: {LANG_RUSSIAN, LANG_UKRAINIAN, LANG_ENGLISH},

	LANG_MACEDONIAN: {LANG_RUSSIAN, LANG_MACEDONIAN, LANG_ENGLISH},
	LANG_SLOVENIAN:  {LANG_ENGLISH, LANG_SLOVENIAN},
	LANG_LATVIAN:    {LANG_ENGLISH, LANG_LATVIAN},
	LANG_SLOVAK:     {LANG_ENGLISH, LANG_SLOVAK},
	LANG_CZECH:      {LANG_ENGLISH, LANG_CZECH},
	LANG_AMHARIC:    {LANG_ENGLISH, LANG_AMHARIC},
}

var SORT_BY_VALUES = map[string]bool{
	SORT_BY_RELEVANCE:      true,
	SORT_BY_NEWER_TO_OLDER: true,
	SORT_BY_OLDER_TO_NEWER: true,
}

var SOURCE_PARENTS_NOT_TO_INCLUDE_IN_VARIABLE_VALUES = []string{
	SRC_RABASH_ASSORTED_NOTES, SRC_ZOHAR_FOR_ALL_VOL_12, SRC_BAAL_SULAM_ARTICLES_LETTERS_SUMMARIES, SRC_BAAL_SULAM_WRITINGS_CAMPUS_RU, SRC_CONNECTING_TO_THE_SOURCE,
}

Source names that we avoid adding: 1. Zohar For All vol.12 chapter names (that are actually general topic names). 2. Source names from Rabash Assorted notes because many of them are similar to concepts or topics and less known as names of Rabash sources. 3. Article summaries and campus material to avoid confusion with the original sources.

var SRC_TYPES_FOR_TITLE_DESCRIPTION_CONCAT = map[int64]bool{
	SRC_TYPE_VOLUME: true,
	SRC_TYPE_PART:   true,
}

var VARIABLE_TO_FILTER = map[string]string{
	VAR_YEAR:                "year",
	VAR_CONVENTION_LOCATION: "location",
	VAR_TEXT:                "text",
	VAR_HOLIDAYS:            "holidays",
	VAR_CONTENT_TYPE:        "content_type",
	VAR_SOURCE:              "source",
	VAR_POSITION:            "position",
	VAR_PROGRAM:             "program",
}

Variable name to frontend filter name mapping.

Types

type IntentSearchOptions

type IntentSearchOptions struct {
	SearchTags    bool
	SearchSources bool
	ContentTypes  []string
}

type PositionIndexType

type PositionIndexType int

const (
	ALWAYS_NUMBER    PositionIndexType = iota
	LETTER_IF_HEBREW PositionIndexType = iota
)

type SearchFilterType

type SearchFilterType int

Search filter.

const (
	SEARCH_NO_FILTER              SearchFilterType = iota
	SEARCH_FILTER_ONLY_SOURCES    SearchFilterType = iota
	SEARCH_FILTER_WITHOUT_SOURCES SearchFilterType = iota
)