Flask DataTables後臺資料實時傳送---分頁查詢和search過濾
阿新 • • 發佈:2020-09-01
BEGIN:
1 JS 和 CSS引用
將js和css檔案下載到本地並引用:
<script src="{{ theme_static('js/jquery-1.8.0.min.js') }}"></script> <script src="{{ theme_static('js/jquery.dataTables.min.js') }}"></script>
<link rel="stylesheet" href="{{ theme_static('css/dataTables.min.css') }}">
下載地址:
jQuery:
連結:https://pan.baidu.com/s/1AzmjF2rs87GN5IQPnMWSjg
提取碼:6xwf
其他版本jQuery:http://www.jq22.com/jquery-info122
jquery.dataTables.min.js:
官網下載:https://datatables.net/
網盤連結:
連結:https://pan.baidu.com/s/1t2r3DjP2yGko5jpCuWkq0A
提取碼:xgp1
jquery.dataTables.min.css:
官網下載:https://datatables.net/
網盤連結:
連結:https://pan.baidu.com/s/1SgxP7l4x_YgVQ1YmClSxhA
或直接引用:
CSS:
//cdn.datatables.net/1.10.21/css/jquery.dataTables.min.css
JS:
//cdn.datatables.net/1.10.21/js/jquery.dataTables.min.js
2 HTML
<table id="example" class="table table-striped table-bordered"></table>
3 JS
<script type="text/javascript" charset="utf-8"> $(document).ready(function () { var columns = [{ title: 'ID', target: 0, data: function (item) { return item.id; } },{ title:'使用者名稱', target: 1, data:function (item) { return item.name; } },{ title:'建立時間', target: 2, data: function (item) { return item.created_time; } },{ title: '操作', target: 3, data:function (item) { return "<td><a href='/admin/user/"+item.id+ " '>編輯</a><td>"; } }]; var table = $('#example').DataTable({ "language": { url:"{{ theme_static('json/zh_CN.json') }}" }, "processing":true, "serverSide":true, "ajax":"{{ url_for('admin.users_data') }}", "columns":columns }); }); </script>
ps: data裡面的item.id中的id是與view.py中mData對應
4 python -flask
安裝datatables
pip install sqlalchemy-datatables
view.py
from flask import Blueprint, request, jsonify from flask_login import login_required from ..extensions import db from ..decorators import admin_required from ..user import User from ..utils import render_theme from datatables import ColumnDT, DataTables
@admin.route('/users') @login_required @admin_required def users(): return render_theme('admin/users.html', active='users') @admin.route('/users_data') @login_required @admin_required def users_data(): """Return server side data.""" # defining columns columns = [ ColumnDT(User.id, mData='id'), ColumnDT(User.name,mData='name'), ColumnDT(User.created_time, mData='created_time') ] # defining the initial query depending on your purpose query = db.session.query().select_from(User) # GET parameters params = request.args.to_dict() # instantiating a DataTable for the query and table needed rowTable = DataTables(params, query, columns) # returns what is needed by DataTable return jsonify(rowTable.output_result())
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