UBERF-4493: Mentions. When there is a lot of Applicants it's really difficult to mention employee (#4119)

Signed-off-by: Maxim Karmatskikh <mkarmatskih@gmail.com>
This commit is contained in:
Maksim Karmatskikh 2023-12-01 08:30:25 +01:00 committed by GitHub
parent e361325a73
commit 84d23c2e86
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5 changed files with 101 additions and 21 deletions

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@ -46,7 +46,14 @@ export function createModel (builder: Builder): void {
component: contact.component.Avatar,
props: ['avatar', 'name']
},
title: { props: ['name'] }
title: { props: ['name'] },
scoring: [
{
attr: 'space',
value: contact.space.Employee as string,
boost: 2
}
]
},
getSearchTitle: serverContact.function.ContactNameProvider
})

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@ -44,7 +44,7 @@ import core, {
import { MinioService } from '@hcengineering/minio'
import { FullTextIndexPipeline } from './indexer'
import { createStateDoc, isClassIndexable } from './indexer/utils'
import { mapSearchResultDoc } from './mapper'
import { mapSearchResultDoc, getScoringConfig } from './mapper'
import type { FullTextAdapter, WithFind, IndexedDoc } from './types'
/**
@ -246,7 +246,10 @@ export class FullTextIndex implements WithFind {
}
async searchFulltext (ctx: MeasureContext, query: SearchQuery, options: SearchOptions): Promise<SearchResult> {
const resultRaw = await this.adapter.searchString(query, options)
const resultRaw = await this.adapter.searchString(query, {
...options,
scoring: getScoringConfig(this.hierarchy, query.classes ?? [])
})
const result: SearchResult = {
...resultRaw,

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@ -2,7 +2,7 @@ import { Hierarchy, Ref, RefTo, Class, Doc, SearchResultDoc, docKey } from '@hce
import { getResource } from '@hcengineering/platform'
import plugin from './plugin'
import { IndexedDoc, SearchPresenter, ClassSearchConfigProps } from './types'
import { IndexedDoc, SearchPresenter, ClassSearchConfigProps, SearchScoring } from './types'
interface IndexedReader {
get: (attribute: string) => any
@ -106,6 +106,17 @@ export async function updateDocWithPresenter (hierarchy: Hierarchy, doc: Indexed
}
}
export function getScoringConfig (hierarchy: Hierarchy, classes: Ref<Class<Doc>>[]): SearchScoring[] {
let results: SearchScoring[] = []
for (const _class of classes) {
const searchPresenter = findSearchPresenter(hierarchy, _class)
if (searchPresenter?.searchConfig.scoring !== undefined) {
results = results.concat(searchPresenter?.searchConfig.scoring)
}
}
return results
}
/**
* @public
*/

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@ -189,7 +189,10 @@ export interface FullTextAdapter {
remove: (id: Ref<Doc>[]) => Promise<void>
updateMany: (docs: IndexedDoc[]) => Promise<TxResult[]>
searchString: (query: SearchQuery, options: SearchOptions) => Promise<SearchStringResult>
searchString: (
query: SearchQuery,
options: SearchOptions & { scoring?: SearchScoring[] }
) => Promise<SearchStringResult>
search: (
_classes: Ref<Class<Doc>>[],
@ -350,6 +353,15 @@ export type ClassSearchConfigProps = string | Record<string, string[]>
*/
export type ClassSearchConfigProperty = string | { tmpl?: string, props: ClassSearchConfigProps[] }
/**
* @public
*/
export interface SearchScoring {
attr: string
value: string
boost: number
}
/**
* @public
*/
@ -358,6 +370,7 @@ export interface ClassSearchConfig {
iconConfig?: { component: any, props: ClassSearchConfigProps[] }
title: ClassSearchConfigProperty
shortTitle?: ClassSearchConfigProperty
scoring?: SearchScoring[]
}
/**

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@ -27,7 +27,13 @@ import {
SearchQuery,
SearchOptions
} from '@hcengineering/core'
import type { EmbeddingSearchOption, FullTextAdapter, SearchStringResult, IndexedDoc } from '@hcengineering/server-core'
import type {
EmbeddingSearchOption,
FullTextAdapter,
SearchStringResult,
SearchScoring,
IndexedDoc
} from '@hcengineering/server-core'
import { Client, errors as esErr } from '@elastic/elasticsearch'
import { Domain } from 'node:domain'
@ -105,9 +111,14 @@ class ElasticAdapter implements FullTextAdapter {
return this._metrics
}
async searchString (query: SearchQuery, options: SearchOptions): Promise<SearchStringResult> {
async searchString (
query: SearchQuery,
options: SearchOptions & { scoring?: SearchScoring[] }
): Promise<SearchStringResult> {
try {
const elasticQuery: any = {
query: {
function_score: {
query: {
bool: {
must: {
@ -117,14 +128,35 @@ class ElasticAdapter implements FullTextAdapter {
flags: 'OR|PREFIX|PHRASE|FUZZY|NOT|ESCAPE',
default_operator: 'and',
fields: [
'searchTitle^15', // boost
'searchShortTitle^15',
'searchTitle^50', // boost
'searchShortTitle^50',
'*' // Search in all other fields without a boost
]
}
}
}
},
functions: [
{
script_score: {
script: {
source: "Math.max(0, ((doc['modifiedOn'].value / 1000 - 1672531200) / 2592000))"
/*
Give more score for more recent objects. 1672531200 is the start of 2023
2592000 is a month. The idea is go give 1 point for each month. For objects
older than Jan 2023 it will give just zero.
Better approach is to use gauss function, need to investigate futher how be
map modifiedOn, need to tell elastic that this is a date.
But linear function is perfect to conduct an experiment
*/
}
}
}
],
boost_mode: 'sum'
}
},
size: options.limit ?? DEFAULT_LIMIT
}
@ -146,7 +178,21 @@ class ElasticAdapter implements FullTextAdapter {
}
if (filter.length > 0) {
elasticQuery.query.bool.filter = filter
elasticQuery.query.function_score.query.bool.filter = filter
}
if (options.scoring !== undefined) {
const scoringTerms: any[] = options.scoring.map((scoringOption): any => {
return {
term: {
[`${scoringOption.attr}.keyword`]: {
value: scoringOption.value,
boost: scoringOption.boost
}
}
}
})
elasticQuery.query.function_score.query.bool.should = scoringTerms
}
const result = await this.client.search({