kepler.gl.geoiq
Version:
kepler.gl is a webgl based application to visualize large scale location data in the browser
46 lines (35 loc) • 5.66 kB
JavaScript
;
var _interopRequireDefault = require("@babel/runtime/helpers/interopRequireDefault");
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = exports.DeleteDatasetModal = void 0;
var _taggedTemplateLiteral2 = _interopRequireDefault(require("@babel/runtime/helpers/taggedTemplateLiteral"));
var _react = _interopRequireDefault(require("react"));
var _styledComponents = _interopRequireDefault(require("styled-components"));
var _datasetLabel = _interopRequireDefault(require("../common/dataset-label"));
var _templateObject;
var StyledMsg = _styledComponents["default"].div(_templateObject || (_templateObject = (0, _taggedTemplateLiteral2["default"])(["\n margin-top: 24px;\n"])));
var DeleteDatasetModal = exports.DeleteDatasetModal = function DeleteDatasetModal(_ref) {
var _ref$dataset = _ref.dataset,
dataset = _ref$dataset === void 0 ? {} : _ref$dataset,
_ref$layers = _ref.layers,
layers = _ref$layers === void 0 ? [] : _ref$layers;
// retrieve only layers related to the current dataset
var currDatasetLayers = layers.filter(function (layer) {
return layer.config.dataId === dataset.id;
});
return (/*#__PURE__*/_react["default"].createElement("div", {
className: "delete-dataset-modal"
}, /*#__PURE__*/_react["default"].createElement(_datasetLabel["default"], {
dataset: dataset
}), /*#__PURE__*/_react["default"].createElement(StyledMsg, {
className: "delete-dataset-msg"
}, "you are going to delete this dataset. It will affect ".concat(currDatasetLayers.length, " layers")))
);
};
var DeleteDatasetModalFactory = function DeleteDatasetModalFactory() {
return DeleteDatasetModal;
};
var _default = exports["default"] = DeleteDatasetModalFactory;
//# sourceMappingURL=data:application/json;charset=utf-8;base64,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