Another example
For the purpose of this example let's say we have an
activity-logs index in Elasticsearch with the following mapping.{
"mappings": {
"_doc": {
"dynamic": "strict",
"properties": {
"action": {
"type": "keyword"
},
"label": {
"type": "text",
"index_options": "docs",
"norms": false
},
"userId": {
"type": "keyword"
},
"collectionId": {
"type": "keyword"
},
"createdAt": {
"type": "date"
}
}
}
}
}
First, we declare the
activity-logs collection in the forest/ directory.In this Smart Collection, we want to display for each activity log its action, the label (in a field description), the related user that made the activity, the collectionId on which the activity was made and the date the activity was made by the user.
/forest/activity-logs.js
const { collection } = require('forest-express-sequelize');
const models = require('../models');
collection('activity-logs', {
isSearchable: false,
fields: [{
field: 'id',
type: 'string',
}, {
field: 'action',
type: 'Enum',
isFilterable: true,
enums: [
'create',
'read',
'update',
'delete',
'action',
'search',
'filter'],
}, {
field: 'label',
type: 'String',
isFilterable: true,
}, {
field: 'collectionId',
type: 'String',
isFilterable: true,
}, {
field: 'userId',
type: 'String',
isFilterable: true,
}, {
field: 'createdAt',
type: 'Date',
isFilterable: true,
}, {
field: 'user',
type: 'Number',
reference: 'users.id',
get: async (activityLog) => {
// For search queries, the user is already loaded for performance reasons
if (activityLog.user) { return activityLog.user; }
if (!activityLog.userId) { return null; }
return models.users.findOne({
attributes: ['id', 'firstName', 'lastName', 'email'],
paranoid: false,
where: {
id: activityLog.userId,
},
});
},
}, {
field: 'user_email',
type: 'String',
isFilterable: true,
get: (activityLog) => {
// The field is declared after, when processed, the user has already been retrieved
return activityLog.user.email;
},
}
],
});
This is a complex use case: How to handle filters on related data. We want to be able to filter using the
user.mail field.
To accommodate you we already provide you a simple service ElasticsearchHelper that handles all the logic to connect with your Elasticseearch data.routes/activity-logs.js
const express = require('express');
const router = express.Router();
const models = require('../models');
// We need parseFilter utils to create the where clause for sequelize
const { RecordSerializer, Schemas, parseFilter } = require('forest-express-sequelize');
const ElasticsearchHelper = require('../service/elasticsearch-helper');
const { FIELD_DEFINITIONS } = require('../utils/filter-translator');
const serializer = new RecordSerializer({ name: 'es-activity-logs' });
// Custom mapping function
function mapActivityLog(id, source) {
const {
createdAt,
...simpleProperties
} = source;
return {
id,
...simpleProperties,
createdAt: source.createdAt ? new Date(source.createdAt) : null,
};
}
const configuration = {
index: 'activity-logs-*',
filterDefinition: {
action: FIELD_DEFINITIONS.keyword,
label: FIELD_DEFINITIONS.text,
collectionId: FIELD_DEFINITIONS.keyword,
userId: FIELD_DEFINITIONS.keyword,
createdAt: FIELD_DEFINITIONS.date,
},
mappingFunction: mapActivityLog,
sort: [
{ createdAt: { order: 'desc' } },
],
}
const elasticsearchHelper = new ElasticsearchHelper(configuration);
// Specific implementation to handle related data
async function computeUserFilter(models, filter, options) {
const where = await parseFilter({
...filter,
field: filter.field.replace('user_', ''),
}, Schemas.schemas.users, options.timezone);
const users = await models.users.findAll({
where,
attributes: ['id'],
paranoid: false,
});
return { operator: 'equal', field: 'userId', value: users.map((user) => user.id) };
}
async function computeFilterOnRelatedEntity(models, options, filter) {
if (filter.field === 'user_email') {
return computeUserFilter(models, filter, options);
}
return filter;
}
async function computeFiltersOnRelatedEntities(models, filters, options) {
if (!filters) {
return undefined;
}
if (!filters.aggregator) {
return computeFilterOnRelatedEntity(models, options, filters);
}
return {
...filters,
conditions: await Promise.all(filters.conditions.map(
computeFilterOnRelatedEntity.bind(undefined, models, options),
)),
};
}
router.get('/es-activity-logs', async (request, response, next) => {
try {
const pageSize = Number(request?.query?.page?.size) || 20;
const page = Number(request?.query?.page?.number) || 1;
const options = { timezone: request.query?.timezone };
let filters;
try {
filters = request.query?.filters && JSON.parse(request.query.filters);
} catch (e) {
filters = undefined;
}
const filtersWithRelatedEntities = await computeFiltersOnRelatedEntities(models, filters, options);
const result = await elasticsearchHelper.functionSearch({
page,
pageSize,
filters: filtersWithRelatedEntities || undefined,
options,
});
response.send({
...await serializer.serialize(result.results),
meta: {
count: result.count,
}
});
} catch (e) {
next(e);
}
});
module.exports = router;
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Example of filter on related data
Another way to search through related data is to implement your own search logic.
routes/activity-logs.js
const express = require('express');
const router = express.Router();
const models = require('../models');
const Sequelize = require('sequelize');
const { RecordSerializer } = require('forest-express-sequelize');
const ElasticsearchHelper = require('../service/elasticsearch-helper');
const { FIELD_DEFINITIONS } = require('../utils/filter-translator');
const serializer = new RecordSerializer({ name: 'es-activity-logs' });
// Custom mapping function
function mapActivityLog(id, source) {
const {
createdAt,
...simpleProperties
} = source;
return {
id,
...simpleProperties,
createdAt: source.createdAt ? new Date(source.createdAt) : null,
};
}
const configuration = {
index: 'activity-logs-*',
filterDefinition: {
action: FIELD_DEFINITIONS.keyword,
label: FIELD_DEFINITIONS.text,
collectionId: FIELD_DEFINITIONS.keyword,
userId: FIELD_DEFINITIONS.keyword,
createdAt: FIELD_DEFINITIONS.date,
},
mappingFunction: mapActivityLog,
sort: [
{ createdAt: { order: 'desc' } },
],
}
const elasticsearchHelper = new ElasticsearchHelper(configuration);
router.get('/es-activity-logs', async (request, response, next) => {
try {
const pageSize = Number(request?.query?.page?.size) || 20;
const page = Number(request?.query?.page?.number) || 1;
const search = request.query?.search;
// NOTICE: search all user ids whom firstName or lastName or email match %search%
const { Op } = Sequelize;
const where = {};
const searchCondition = { [Op.iLike]: `%${search}%` };
where[Op.or] = [
{ firstName: searchCondition },
{ lastName: searchCondition },
{ email: searchCondition },
];
const userIdsFromSearch = await models.users.findAll({
where,
attributes: ['id'],
paranoid: false,
});
// NOTICE: Create a custom boolean query for Elasticsearch
const booleanQuery = {
should: [{
terms: {
userId: userIdsFromSearch.map((user) => user.id),
},
}],
minimum_should_match: 1,
};
// NOTICE: Use the elasticsearchHelper to query Elasticsearch
const [results, count] = await Promise.all([
elasticsearchHelper.esSearch(
{ page, pageSize },
booleanQuery,
),
elasticsearchHelper.esCount(booleanQuery),
]);
response.send({
...await serializer.serialize(results),
meta: {
count: count,
}
});
} catch (e) {
next(e);
}
});
module.exports = router;
Last modified 4mo ago