Skip to main content

This package provides easy integration between Django REST framework and DevExtreme Data Grid. It handles grouping, paging, filtering, aggregating and ordering on serverside.

Project description

htec-drf-dx-datagrid

Overview

This package provides easy integration between Django REST framework and DevExtreme Data Grid. It handles grouping, paging, filtering, aggregating and ordering on serverside.

In which case should you use htec-drf-dx-datagrid?

You have DevExtreme in the frontend and Django REST framework as the backend. And your data is too large to load at once, but you want use grouping and filtering.

How it works?

Htec-drf-dx-datagrid supports devextreme load options in HTTP-request and returns data in format fully compatible with Data Grid. All you need is to replace classname "ModelViewSet" with "DxModelViewSet" in your django project

Installation

pip install htec-drf-dx-datagrid

Configuration

Define your ModelViewSet class inherits from DxModelViewSet:

from htec_drf_dx_datagrid import DxModelViewSet


class MyModelViewSet(DxModelViewSet):
    serializer_class = MyModelSerializer
    queryset = MyModel.objects.all()

Also you can define ReadOnlyModelViewSet inherits from DxReadOnlyModelViewSet

from htec_drf_dx_datagrid import DxModelViewSet


class MyReadOnlyModelViewSet(DxReadOnlyModelViewSet):
    serializer_class = MyModelSerializer
    queryset = MyModel.objects.all()

Example for React.js:

const load = (loadOptions) => {
    return axios(`${my_url}`, {
            params: loadOptions
        }
    ).then((response) => response.data
    )
}

export default class Example extends PureComponent {
   state={
       store: new CustomStore({ load: load})
   }

    render() {
        return (<DataGrid
                    dataSource={this.state.store}
                    height={"100vh"}
                >
                    <RemoteOperations groupPaging={true}/>
                    <Scrolling mode={'virtual'}/>
                    <HeaderFilter visible={true} allowSearch={true}/>
                    <Paging defaultPageSize={40}/>
                    <Sorting mode={"multiple"}/>
                    <FilterRow visible={true}/>
                    <GroupPanel visible={true}/>
                    <Grouping autoExpandAll={false}/>
                    <Summary>
                        <TotalItem column={"id"} summaryType={"count"}/>
                        <GroupItem column={"name"} summaryType={"max"}/>
                    </Summary>
                </DataGrid>
        );
    }
}

Example for jQuery.js:

        const load = (loadOptions) => {
            return axios(`${my_url}`, {
                    params: loadOptions
                }
            ).then((response) => response.data
            )
        }

        const store = new DevExpress.data.CustomStore({load: load});
        $("#gridContainer").dxDataGrid({
            dataSource: store,
            height: "100vh",
            remoteOperations: {
                groupPaging: true
            },
            scrolling: {mode: 'virtual'},
            headerFilter: {visible: true, allowSearch: true},
            paging: {defaultPageSize: 40},
            sorting: {mode: "multiple"},
            filterRow: {visible: true},
            groupPanel: {visible: true},
            grouping: {autoExpandAll: false},
            summary: {
                totalItems: [{
                    column: "id",
                    summaryType: "count"
                }],
                groupItems: [{
                    column: "id",
                    summaryType: "min"
                }]
            }
        });

By default, filtering is case-sensitive.If you want case-insensitive behavior, you must set FILTER_CASE_SENSITIVE parameter to false in django settings:

REST_FRAMEWORK = {
    'DRF_DX_DATAGRID': {
        'FILTER_CASE_SENSITIVE': False}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

htec_drf_dx_datagrid-0.5.5.tar.gz (10.4 kB view details)

Uploaded Source

Built Distribution

htec_drf_dx_datagrid-0.5.5-py3-none-any.whl (11.0 kB view details)

Uploaded Python 3

File details

Details for the file htec_drf_dx_datagrid-0.5.5.tar.gz.

File metadata

  • Download URL: htec_drf_dx_datagrid-0.5.5.tar.gz
  • Upload date:
  • Size: 10.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.8

File hashes

Hashes for htec_drf_dx_datagrid-0.5.5.tar.gz
Algorithm Hash digest
SHA256 46bf0ad4309db0384d021db207e9ef7fd9490220cd7a4f157c933ce4dbf050f7
MD5 801cf8969ea13cbfc1743fedbda354f8
BLAKE2b-256 4f7e42c40e623ec193f1cb70f78537111b58844275d45315851282331ea599cf

See more details on using hashes here.

File details

Details for the file htec_drf_dx_datagrid-0.5.5-py3-none-any.whl.

File metadata

File hashes

Hashes for htec_drf_dx_datagrid-0.5.5-py3-none-any.whl
Algorithm Hash digest
SHA256 1bfdb5d09220ba67b2e78e6c4d7393c3f1c3a71b01f675fdf92496b2ca2bf39b
MD5 50c4d8fd8ff89887050396c63577d28a
BLAKE2b-256 bd3c3cce301eff9ad83cacb33d0124ef96553d228fcf77c921a41eb326dd74ad

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page