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@bigbinary/neeto-filters-frontend
Advanced tools
The neeto-filters-nano
manages filters across neeto products. The nano exports the @bigbinary/neeto-filters-frontend
NPM package and neeto-filters-engine
Rails engine for development.
The engine is used to manage filters across neeto products.
source "NEETO_GEM_SERVER_URL" do
# ..existing gems
gem 'neeto-filters-engine'
end
bundle install
config/routes.rb
file:
mount NeetoFiltersEngine::Engine, at: "/neeto_filters"
neeto_filters_engine_segments
table.
bundle exec rails neeto_filters_engine:install:migrations
bundle exec rails db:migrate
models/organization.rb
file.
has_many :segments, class_name: "NeetoFiltersEngine::Segment", dependent: :destroy
You can learn more about setup and usage here:
neeto-filters-frontend
package using the below command:
yarn add @bigbinary/neeto-filters-frontend
neeto-filters-frontend
has a few peer dependencies that are required for the proper functioning of the package. Install all the peer dependencies using the below command:
yarn add @bigbinary/neetoui @bigbinary/neeto-icons axios@0.27.2 classnames@2.3.1 dayjs@1.11.1 formik@2.2.0 ramda@0.28.0 react-router-dom@5.3.0 react-router-nav-prompt@0.4.1 react-toastify@9.0.1 yup@0.32.11
Filters
(source code)Props
isOpen
: To specify whether the Pane component is open or not.setIsOpen
: To trigger the isOpen state.columns
: The list of columns/fields that needs to be represented in the filters pane.onChange
: To specify the callback function that is triggered whenever a filter is applied or cleared. This function will get the updated filters as argument.onSelectorsChange
: To specify the callback function that is triggered
whenever a selector value is changed. This function will get the updated
selectors as argument.buttonProps
: To specify the props to be passed to the button component.paneProps
: To specify the props to be passed to the pane component.isSearchable
: To specify whether you need a search bar in filters pane to search through filter fields.className
: To specify classes to the Filters component.keyword
: To specify the props related to searching.childrenKeys
: The list of keys which has to be cleared from url during clear filters operation.children
: To specify the custom components specific to the host application.Configuration
Filters
component.Usage
import React, { useMemo, useState } from "react";
import { Bar, Container, SubHeader } from "neetomolecules";
import { Filters } from "neetoFilters";
const App = () => {
const [isOpen, setIsOpen] = useState(false);
const [showMenuBar, setShowMenuBar] = useState(false);
const { t } = useTranslation();
return (
<Container>
<SubHeader
rightActionBlock={
<Filters
{...{ isOpen, setIsOpen }}
isSearchable
columns={FILTER_COLUMNS}
keyword={SEARCH_TERM_PROPS}
/>
}
/>
</Container>
);
};
export default App;
Bar
(source code)Props
columns
: The list of columns/fields that needs to be represented in the filters pane.onChange
: To specify the callback function that is triggered whenever a filter is applied or cleared. This function will get the updated filters as argument.setIsPaneOpen
: To trigger the isOpen state.className
: To specify classes to the Bar component.keyword
: To specify the props related to searching.onSelectorsChange
: To specify the callback function that is triggered whenever a selector value is changed. This function will get the updated selectors as argument.childrenKeys
: The list of keys which has to be cleared from url during clear filters operation.entity
: The entity associated with the filters.defaultSegmentName
: The name of segment which results all entities without applying any filter. Default name is "All results".customFilters
: To specify the custom components specific to the host application. This should be same as children
passed to the Filters
component.segmentsBaseUrl
: The base url to which the segments will be appended after creating the segment. by default the current path will be used.All these props must be same as that passed to the Filters
component. The
option to save filters as segments will be enabled only when the entity prop is
passed to the component.
Usage
import React, { useMemo, useState } from "react";
import Bar from "neetomolecules/SubHeader";
import Container from "neetomolecules/Container";
import { Segments, buildFilterColumns } from "neetoFilters";
import useUsers from "hooks/useUsers";
const App = () => {
const { usersData } = useUsers();
const [isOpen, setIsOpen] = useState(false);
const [fields, setFields] = useState([]);
const { t } = useTranslation();
const filterColumns = useMemo(
() =>
buildFilterColumns({
names: usersData.names,
emails: usersData.emails,
fields,
}),
[usersData.users, fields]
);
return (
<Container>
<SubHeader
leftActionBlock={
<Bar
columns={filterColumns}
entity="User"
setIsPaneOpen={setIsOpen}
/>
}
/>
</Container>
);
};
export default App;
Segments
(source code)Props
columns
: The list of columns/fields that needs to be represented in the filters pane.entity
: The entity associated with the segments.setIsPaneOpen
: To trigger the isOpen state of the filters pane.defaultSegmentName
: The name of segment which results all entities without applying any filter. Default name is "All results".customFilters
: To specify the custom components specific to the host application. This should be same as children
passed to the Filters
component.childrenKeys
: The list of keys which has to be cleared from url during clear filters operation.baseUrl
: The base url to which the segments will be appended. by default the current path will be used.The "columns" prop must be same as that passed to the Filters
component.
Usage
import React, { useMemo, useState } from "react";
import MenuBar from "neetomolecules/MenuBar";
import SubHeader from "neetomolecules/SubHeader";
import { Segments, buildFilterColumns } from "neetoFilters";
import useUsers from "hooks/useUsers";
const App = () => {
const { usersData } = useUsers();
const [isOpen, setIsOpen] = useState(false);
const [showMenuBar, setShowMenuBar] = useState(false);
const [fields, setFields] = useState([]);
const filterColumns = useMemo(
() =>
buildFilterColumns({
names: usersData.names,
emails: usersData.emails,
fields,
}),
[usersData.users, fields]
);
return (
<MenuBar showMenu={showMenuBar}>
<Segments
columns={filterColumns}
entity="User"
setIsFilterPaneOpen={setIsOpen}
/>
</MenuBar>
);
};
export default App;
buildFiltersFromURL
(source code)keyword
prop of Filters
and Bar
.filters
state.const [filters, setFilters] = useState(() =>
buildFiltersFromURL([...SAMPLE_FILTER_COLUMNS, searchTermProps])
);
buildSelectorsFromURL
(source code)selectors
we mean the filter fields which doesn't have any relation
(node
) to a DB table column.
Group by
. We cannot
provide a node
to associate it with a column in DB table. Still it can
provide an important value which can be used for the computation as if by
telling a means by which the records can be grouped after filtering.node
, among the ones passed as value to the column
prop
of Filters
are considered as selectors.selectors
state.selectors
will be an object with keys same as provided in filter fields and
selected value as its value.const [selectors, setSelectors] = useState(() =>
buildSelectorsFromURL(FILTER_COLUMNS)
);
buildFilterColumnsFromFields
(source code)The buildFilterColumnsFromFields
function is used to generate an array of
filter columns based on the provided fields (often referred as custom fields)
and selected field names.
fields
(array): An array of field objects representing the available fields.selectedFields
(array, optional): An array of strings representing the
selected field names. Defaults to an empty array.showRuleSelector
(boolean, optional): A boolean value which specify whether
to show the rule selector for each filter or not. It is false
by default.groupName
(string, optional): A name to be given to the group of filters
built from fields.const fields = [
{
id: "1",
name: "name",
kind: "text",
},
{
id: "2",
name: "age",
kind: "number",
},
// Add more field objects as needed
];
const selectedFields = ["name", "age"];
const filterColumns = buildFilterColumnsFromFields({ fields, selectedFields });
useFetchSegments
(source code)The useFetchSegments
hook is used to fetch the array of segments based on the provided entity
.
entity
: The entity associated with the segments to be fetched.searchTerm
: The search term for fetching the segments filtered by names containing the search term. const { data: segments = [], isLoading } = useFetchSegments({ entity: "User" });
Here is an example of how to use the neeto-filters-engine
gem assuming that the
users
table has been created.
class HomeController < ApplicationController
before_action :load_users
def index
@filtered_users = @users.apply_neeto_filters(params[:filters])
@total_count = @filtered_users.count
end
private
def load_users
@users = @organization.users
end
end
Note: If you wish to use select()
method after calling apply_neeto_filters()
, please note to use reselect()
since neeto-filters itself performs a 'select' operation internally.
Here, the param filters
is a hash with the following structure, where each
node
corresponds to a column in the users
table.
[
{
"conditions": [
{
"node": "email",
"label": "Email Address",
"type": "text",
"rule": "contains",
"value": "bigbinary",
"conditions_join_type": "AND"
},
{
"node": "timezone",
"label": "Timezone",
"type": "text",
"rule": "is",
"value": "Asia/Kolkata",
"conditions_join_type": "AND"
}
],
"group_join_type": "OR"
},
{
"conditions": [
{
"node": "age",
"label": "Age",
"type": "number",
"rule": "greater_than",
"value": "18",
"conditions_join_type": "AND"
}
],
"group_join_type": "AND"
}
]
The gem filters the users based on the conditions in the filters
param. In
this case, all the users whose email address contains bigbinary
in the
Asia/Kolkata
timezone or whose age is greater than 18 will be filtered.
Base Types refers to the columns that are directly present in the table on
which the apply_neeto_filters
method is called.
Refer to this video for an overview of the same.
Some projects will have custom attributes to the tables that will be added or
updated dynamically. NeetoFiltersEngine
can handle these attributes by passing the
proper filters to the apply_neeto_filters
method.
The implementation of custom attributes is different for different projects.
NeetoFiltersEngine
is built in the same way as neetoCRM
. If the custom
attributes feature needs to be added to a project where the custom attributes
implementation is different, you need to override the
NeetoFiltersEngine::Custom::BaseSearchService
class specifiying the proper join
operations.
Refer to the below video for an overview of the same.
Associated types refer to the the columns that are not directly present in the
table on which the apply_neeto_filters
method is applied. Instead these will
be present in another table to which the first table has a foreign key to. For
instance, the deals
table can have an association with the companies
table
and the company name can be displayed in the UI. NeetoFiltersEngine
can be used to
filter these columns by properly specifying the filters.
Refer to te below video for an overview of the same.
NeetoFiltersEngine
provides the following types: text
, number
,
single_option
, multi_option
, date
, time
, datetime
, date_range
,
time_range
, and tree_select
.
Sometimes we need to filter attributes that are not present in the available types. In this case a new type needs to be created.
In this case, the type needs to be specified to the NPM package by passing the
type
name and filters
prop in the list of columns. The corresponding
search service must be created in the app/services/neeto_filters/
folder as
well.
Refer to te below video for an overview of the same.
Working with dates is tricky due to the involvement of timezones.
Refer to the below video for a quick overview of the same.
Consult the building and releasing packages guide for details on how to publish.
{latest-version}-beta
(if 1.2.34
is the
current latest version, it will be 1.2.34-beta
) in the target branch for
beta release.v
, eg:
v1.2.34-beta
.If we are releasing a beta version to a product, we have to inform the compliance team as well to avoid overwriting the version with latest version on the next compliance release.
FAQs
Manage filters across neeto products.
The npm package @bigbinary/neeto-filters-frontend receives a total of 969 weekly downloads. As such, @bigbinary/neeto-filters-frontend popularity was classified as not popular.
We found that @bigbinary/neeto-filters-frontend demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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