'use strict';

function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }

function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; }

function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; }

/*
 *+------------------------------------------------------------------------+
 *| Licensed Materials - Property of IBM
 *| IBM Cognos Products: BI Dashboard
 *| (C) Copyright IBM Corp. 2017, 2020
 *|
 *| US Government Users Restricted Rights - Use, duplication or disclosure
 *| restricted by GSA ADP Schedule Contract with IBM Corp.
 *+------------------------------------------------------------------------+
 */
define(['jquery', 'underscore', './QueryPostProcessor', '../../../../widgets/livewidget/nls/StringResources', '../../../../widgets/livewidget/query/QueryResultDataUtils', '../../../../apiHelpers/SlotAPIHelper'], function ($, _, QueryPostProcessor, StringResources, QueryResultDataUtils, SlotAPIHelper) {

	/**
  * This Class does Query result response post-processing such as processing the original query result
  * into a data re-structure to support multiple measures as series.
  **/
	var PostProcessMeasuresAsSeries = function (_QueryPostProcessor) {
		_inherits(PostProcessMeasuresAsSeries, _QueryPostProcessor);

		/**
   * @Constructor
   * @param {Object} options
   */
		function PostProcessMeasuresAsSeries(options) {
			_classCallCheck(this, PostProcessMeasuresAsSeries);

			var _this = _possibleConstructorReturn(this, _QueryPostProcessor.call(this, options));

			_this.visualization = options.visualization;
			_this.queryDefinition = options.queryDefinition;
			return _this;
		}

		/**
   * Process Query result based on the passed options to constructor.
   * For instance, limit the rows of datapoints so that in the response, for
   * specified dataitem, 'product', there will be only three tuples returned
   *
   * @return {QueryResultData}
   */


		PostProcessMeasuresAsSeries.prototype._processData = function _processData() {
			if (this._queryResultData && this._queryResultData.data && this._canProcess()) {
				var result = this._categorizeDataItems();
				// post-process the data items
				this._processDataItems(result);

				// post-process the data points
				this._processDataPoints(result);
			}
			//Process Done
			return this._queryResultData;
		};

		/**
   * Determine whether multiple measure series is supported
   */


		PostProcessMeasuresAsSeries.prototype._canProcess = function _canProcess() {
			var slots = this._getDatasetSlotList();
			var hasMultiMeasuresSeries = false,
			    hasMultiMeasuresVal = false;

			_.each(slots, function (slot) {
				hasMultiMeasuresSeries = hasMultiMeasuresSeries || SlotAPIHelper.isMultiMeasuresSeriesSlot(slot);
				hasMultiMeasuresVal = hasMultiMeasuresVal || SlotAPIHelper.isMultiMeasuresValueSlot(slot);
			});

			return hasMultiMeasuresSeries && hasMultiMeasuresVal;
		};

		/**
   *  Get the mapped projectionId for each dataItem.
   *
   *  note: the logic here should be the same in visQueryBuilder.js:_slotToProjections()
   */


		PostProcessMeasuresAsSeries.prototype._getQueryProjectionId = function _getQueryProjectionId(slot, dataItemIdx) {
			// We don't project MultiMeasureSeries dataItem
			if (SlotAPIHelper.isMultiMeasuresSeriesOrValue(slot, dataItemIdx)) {
				return null;
			}
			var dataItemList = slot.getDataItemList();
			var validDataItemIds = _.filter(dataItemList, function (dataItem, idx) {
				return !SlotAPIHelper.isMultiMeasuresSeriesOrValue(slot, idx);
			});

			if (slot.isStacked() && validDataItemIds.length > 1) {
				return slot.getId();
			}
			return dataItemList[dataItemIdx].getId();
		};

		/**
   * Categorize the existing data items by category and ordinals
   * Keep track of data items original index and also the slot Id it which the data item is mapped.
   * The original index later allows the data points (prior to restructure) to access the mapping slot and data item.
   *
   * Despite the result data being the original data, the slot mapping already includes the multi-measures series mapping.
   * The slot mapping for mult-measures series needs to be ignored at this stage in order to match with the original data.
   */


		PostProcessMeasuresAsSeries.prototype._categorizeDataItems = function _categorizeDataItems() {
			var result = {
				cats: [],
				ords: [],
				commonIndices: {},
				mappedIndices: {},
				extraDataItems: []
			};

			var resultQueryDataItems = this._queryResultData.dataItems;
			var allProjectionIds = _.map(resultQueryDataItems, function (dataItem) {
				return dataItem.itemClass.id;
			});
			var mappedProjectionIds = [];
			var slotList = this._getDatasetSlotList();

			for (var i = 0; i < slotList.length; i++) {
				var slot = slotList[i];
				var dataItemList = slot.getDataItemList();
				for (var dataItemIdx = 0; dataItemIdx < dataItemList.length; dataItemIdx++) {
					var queryProjectionId = this._getQueryProjectionId(slot, dataItemIdx);
					if (queryProjectionId) {
						var type = dataItemList[dataItemIdx].getType();
						var idx = allProjectionIds.indexOf(queryProjectionId);
						var newEntry = {
							item: idx !== -1 ? resultQueryDataItems[idx] : undefined,
							slotId: slot.getId(),
							index: idx !== -1 ? idx : undefined
						};
						if (newEntry.index !== undefined) {
							result.mappedIndices[newEntry.index] = true;
							if (type === 'fact' && !slot.getDefinition().isMultiMeasureSupported()) {
								result.commonIndices[newEntry.index] = true;
							}
						}
						(type === 'attribute' ? result.cats : result.ords).push(newEntry);
						mappedProjectionIds.push(queryProjectionId);
					}
				}
			}

			var extraDataItemIds = _.difference(allProjectionIds, mappedProjectionIds);
			resultQueryDataItems.forEach(function (dataItem, index) {
				if (extraDataItemIds.indexOf(dataItem.itemClass.id) !== -1) {
					result.commonIndices[index] = true;
					result.extraDataItems.push({ dataItem: dataItem });
				}
			});
			return result;
		};

		/**
   * Process the data items
   * Consolidate the multiple measures to one measure data item and a extra series to indicate the measure
   */


		PostProcessMeasuresAsSeries.prototype._processDataItems = function _processDataItems(dataItems) {
			var _this2 = this;

			var resultData = this._queryResultData;
			var slots = this._getDatasetSlotList();

			// rebuild the dataItems from scratch!
			resultData.dataItems.length = 0;

			// maintain the order based on slots
			for (var i = 0; i < slots.length; i++) {
				var slot = slots[i];
				var dataItem = void 0;
				var isCategory = slot.getDataItemList()[0].getType() === 'attribute';

				if (isCategory) {
					if (SlotAPIHelper.isMultiMeasuresSeriesSlot(slot)) {
						var measures = _.map(dataItems.ords, function (ordinal) {
							var slotDefinition = _this2.visualization.getDefinition().getSlot(ordinal.slotId);
							var supportsMultiMeasure = slotDefinition.getProperty('multiMeasure');
							if (ordinal && ordinal.item && ordinal.item.itemClass && supportsMultiMeasure) {
								return ordinal.item.itemClass.h[0];
							}
							return undefined;
						});
						measures = _.compact(measures);
						// apply the multiple measures as a series
						dataItem = this._getSeriesDataItemforMultipleMeasures(dataItems.cats, measures, slot);
					} else {
						dataItem = this._getDataItem(dataItems.cats, slot);
					}
				} else if (SlotAPIHelper.isMultiMeasuresValueSlot(slot)) {
					// apply the value for all measures
					dataItem = this._getValueDataItemForMultipleMeasures(slot);
				} else {
					var matchDataItems = this._getDataItem(dataItems.ords, slot, /*findAll*/true);
					resultData.dataItems.push.apply(resultData.dataItems, matchDataItems);
				}

				if (dataItem) {
					resultData.dataItems.push(dataItem);
				}
			}
			dataItems.extraDataItems.forEach(function (extraDataItem) {
				extraDataItem.index = resultData.dataItems.length;
				resultData.dataItems.push(extraDataItem.dataItem);
			});
		};

		/**
   * Find the data item mapped to a slot
   */


		PostProcessMeasuresAsSeries.prototype._getDataItem = function _getDataItem(items, slot, findAll) {
			var slotItems = [];
			items.forEach(function (item) {
				if (item.slotId === slot.getId()) {
					slotItems.push(item.item);
				}
			});
			return findAll ? slotItems : slotItems[0];
		};

		/**
   * Collect the unique values from a category data item
   */


		PostProcessMeasuresAsSeries.prototype._getCategoryDataItemValues = function _getCategoryDataItemValues(categoryItem, stackIndex) {
			if (stackIndex > -1) {
				var stackValues = {};
				// collect the unique values
				_.each(categoryItem.items, function (item) {
					stackValues[item.t[stackIndex].u] = item.t[stackIndex];
				});

				var keys = Object.keys(stackValues);
				return _.map(keys, function (key) {
					return stackValues[key];
				});
			}
			return [];
		};

		/**
   * Create a category data item for the multiple measures series
   */


		PostProcessMeasuresAsSeries.prototype._getSeriesDataItemforMultipleMeasures = function _getSeriesDataItemforMultipleMeasures(cats, measures, slot) {
			return {
				itemClass: this._getSeriesDataItemClass(cats, slot),
				items: this._getSeriesTupleItems(cats, measures, slot)
			};
		};

		/**
   * Collect column ids from data item list of a given slot
   */


		PostProcessMeasuresAsSeries.prototype._getSlotColumnIds = function _getSlotColumnIds(slot) {
			return _.map(slot.getDataItemList(), function (dataItem) {
				return dataItem.getColumnId();
			});
		};

		/**
   * Collect all series data item class
   */


		PostProcessMeasuresAsSeries.prototype._getSeriesDataItemClass = function _getSeriesDataItemClass(cats, slot) {
			var ids = this._getSlotColumnIds(slot);
			var stackedItem = this._getDataItem(cats, slot);

			return {
				id: slot.getId(),
				h: _.map(ids, function (id, index) {
					if (SlotAPIHelper.isMultiMeasuresSeriesOrValue(slot, index)) {
						return {
							u: SlotAPIHelper.MULTI_MEASURES_SERIES,
							d: StringResources.get('MeasuresCaption')
						};
					} else {
						if (stackedItem && stackedItem.itemClass) {
							return _.find(stackedItem.itemClass.h, function (header) {
								return header.u === id;
							});
						}
						return undefined;
					}
				})
			};
		};

		/**
   * Collect all series data item tuple items
   */


		PostProcessMeasuresAsSeries.prototype._getSeriesTupleItems = function _getSeriesTupleItems(cats, measures, slot) {
			var _this3 = this;

			var rows = [];
			var baseRows = [];
			var catItem = this._getDataItem(cats, slot);
			var stackIds = catItem ? _.map(catItem.itemClass.h, function (header) {
				return header.u;
			}) : [];
			var ids = this._getSlotColumnIds(slot);

			var _loop = function _loop(index) {
				var id = ids[index];
				var isMultiMeasureSeries = SlotAPIHelper.isMultiMeasuresSeriesOrValue(slot, index);
				var values = isMultiMeasureSeries ? measures : _this3._getCategoryDataItemValues(catItem, stackIds.indexOf(id));

				//clean up rows and baseRows, so that no defect occurs in the loop with more than 2 ids.
				if (rows.length != 0) {
					baseRows = rows;
				}
				rows = [];
				if (baseRows.length > 0) {
					if (values.length > 0) {
						// Should preserve the drop order in multi measure series slot so iterate from baseRows to values
						for (var j = 0; j < baseRows.length; j++) {
							var row = baseRows[j];
							// duplicate the values tuple
							var clone = values.slice();
							for (var valueIndex = 0; valueIndex < clone.length; valueIndex++) {
								var value = clone[valueIndex];
								var newRow = valueIndex === 0 ? row : $.extend(true, {}, row);
								newRow.t[index] = isMultiMeasureSeries ? {
									u: _this3._getMultiMeasureMun(valueIndex),
									d: value.d,
									aggregate: value.aggregate
								} : value;
								rows.push(newRow);
							}
						}
					} else {
						// since there are no data to duplicate, simply update the base rows with null data
						baseRows.forEach(function (row) {
							row.t[index] = {
								u: null,
								d: null
							};
						});
					}
				} else {
					// prepare the base tuple item rows
					baseRows.push.apply(baseRows, _.map(values, function (value, index) {
						return {
							t: [isMultiMeasureSeries ? {
								u: value && value.u ? _this3._getMultiMeasureMun(index) : 'undefined',
								d: value && value.d ? value.d : 'undefined',
								aggregate: value.aggregate
							} : value]
						};
					}));
				}
			};

			for (var index = 0; index < ids.length; index++) {
				_loop(index);
			}

			// finish with the base rows if not expecting a category (i.e. not nested)
			if (!catItem && rows.length === 0) {
				rows.push.apply(rows, baseRows.slice());
			}

			return rows;
		};

		/**
   * Create a measure data item for the multiple measure values
   */


		PostProcessMeasuresAsSeries.prototype._getValueDataItemForMultipleMeasures = function _getValueDataItemForMultipleMeasures(slot) {
			return {
				itemClass: {
					id: slot.getId(),
					h: [{
						u: SlotAPIHelper.MULTI_MEASURES_VALUE,
						d: StringResources.get('ValuesCaption')
					}]
				}
			};
		};

		/**
   * Process all data point to restructure the data for multiple measures value and series
   */


		PostProcessMeasuresAsSeries.prototype._processDataPoints = function _processDataPoints(dataItems) {
			// prepare the new index for each slot
			var newIndices = this._allocateDataPointIndices(dataItems.extraDataItems);

			// restructured data
			var newData = [];
			var resultData = this._queryResultData;
			var multiMeasureSeriesId = this._getMultiMeasureSeriesId();
			var resultDataData = resultData.data;
			for (var i = 0; i < resultDataData.length; i++) {
				var datapoint = resultDataData[i];
				this._restructureDataPoint(dataItems, datapoint, newIndices, newData, multiMeasureSeriesId);
			}

			resultData.data = newData;
		};

		/**
   * Allocate the datapoint index for each data item.
   * Since the multiple measures are wrapped into a single measure with an extra series for the measures,
   * None of the slots would have multiple data items.
   *
   * ie. category, multimeasure_series, category(series), value
   * indices: {
   * 		seriesIndex: 1,
   * 		valueIndex: 3,
   * 		catIndices: [0, 2]
   * }
   */


		PostProcessMeasuresAsSeries.prototype._allocateDataPointIndices = function _allocateDataPointIndices(extraDataItems) {
			var catIndex = 0;
			var commonValueIndex = 0;
			var slots = this._getDatasetSlotList();
			var indices = {
				seriesIndex: -1,
				valueIndex: -1,
				commonIndices: [],
				catIndices: []
			};
			slots.forEach(function (slot, slotIndex) {
				var isCategory = slot.getDataItemList()[0].getType() === 'attribute';
				if (isCategory) {
					if (SlotAPIHelper.isMultiMeasuresSeriesSlot(slot)) {
						indices.seriesIndex = slotIndex;
					} else {
						indices.catIndices[catIndex++] = slotIndex;
					}
				} else if (SlotAPIHelper.isMultiMeasuresValueSlot(slot)) {
					indices.valueIndex = slotIndex;
				} else {
					slot.getDataItemList().forEach(function (dataItem, index) {
						indices.commonIndices[commonValueIndex++] = slotIndex + index;
					});
				}
			});
			extraDataItems.forEach(function (dataItem) {
				return indices.commonIndices[commonValueIndex++] = dataItem.index;
			});

			return indices;
		};

		/**
   * Restructure a single data point.
   * Consolidate multiple measures to one value
   * Categorize the measures to one category
   */


		PostProcessMeasuresAsSeries.prototype._restructureDataPoint = function _restructureDataPoint(dataItems, datapoint, indices, newData, multiMeasureSeriesId) {
			var catValueIndex = 0;
			var commonValueIndex = 0;
			var point = [];
			var ordValues = []; // has to be in order
			var catItemInSeries = void 0;
			var seriesIndexValue = 0;
			var slots = this._getDatasetSlotList();

			// Prepare the common portion of the data point
			for (var valueIndex = 0; valueIndex < datapoint.pt.length; valueIndex++) {
				var value = datapoint.pt[valueIndex];
				var category = void 0;
				for (var i = 0; i < dataItems.cats.length; i++) {
					if (dataItems.cats[i].index === valueIndex) {
						category = dataItems.cats[i];
						break;
					}
				}
				if (category) {
					var slot = void 0;
					for (var j = 0; j < slots.length; j++) {
						if (slots[j].getId() === category.slotId) {
							slot = slots[j];
							break;
						}
					}

					if (SlotAPIHelper.isMultiMeasuresSeriesSlot(slot)) {
						catItemInSeries = category.item;
						seriesIndexValue = value;
					} else {
						point[indices.catIndices[catValueIndex++]] = value;
					}
				} else if (dataItems.commonIndices[valueIndex]) {
					point[indices.commonIndices[commonValueIndex++]] = value;
				} else if (dataItems.mappedIndices[valueIndex]) {
					// Keep track of the remaining ordinal values (as long as they're 'valid' - mapped to a slot)
					ordValues.push(value);
				}
			}

			// Duplicate the data point by each measure
			var processedIndices = [];
			for (var indexValue = 0; indexValue < ordValues.length; indexValue++) {
				var ordValue = ordValues[indexValue];
				var pt = indexValue === 0 ? point : point.slice();
				pt[indices.seriesIndex] = this._getSeriesIndex(dataItems, indexValue, catItemInSeries, seriesIndexValue, processedIndices, multiMeasureSeriesId);
				pt[indices.valueIndex] = ordValue;
				newData.push({ pt: pt });
				processedIndices.push(indexValue);
			}
		};

		PostProcessMeasuresAsSeries.prototype._getSeriesIndex = function _getSeriesIndex(dataItems, ordIndex, catItemInSeries, originalIndex, processedIndices, multiMeasureSeriesId) {
			// The multiSeriesResultItem has tuples built from _getSeriesTupleItems. It's a cross joined tuple set of the multi measure series
			var multiSeriesResultItem = this._queryResultData && this._queryResultData.dataItems && this._queryResultData.dataItems[QueryResultDataUtils.getDataItemIndex(this._queryResultData, multiMeasureSeriesId)];

			// The target tuple to search in multiSeriesResultItem and return its index
			var measureMun = this._getMultiMeasureMun(ordIndex);
			var targetTuple = catItemInSeries && catItemInSeries.items[originalIndex].t.map(function (tuple) {
				return tuple.u;
			}) || [];
			targetTuple.push(measureMun);

			// Search the target tuple in the cross joined tuple set of the multi measure series, and return the index
			var resultIndex = -1;
			if (multiSeriesResultItem.items.length !== 0) {
				for (var idx = 0; idx < multiSeriesResultItem.items.length; idx++) {
					var tuple = multiSeriesResultItem.items[idx];
					//check if tuple matches targetTuple & index is not in processedIndices
					var matched = this._isMatched(tuple, targetTuple, processedIndices, idx);
					if (matched) {
						resultIndex = idx;
						break;
					}
				}
			}
			return resultIndex;
		};

		PostProcessMeasuresAsSeries.prototype._foundInTarget = function _foundInTarget(u, targetTuple) {
			var found = false;
			for (var j = 0; j < targetTuple.length; j++) {
				if (targetTuple[j] === u) {
					found = true;
					break;
				}
			}
			return found;
		};

		PostProcessMeasuresAsSeries.prototype._isMatched = function _isMatched(tuple, targetTuple, processedIndices, idx) {
			//check if tuple matches targetTuple & index is not in processedIndices
			var idxContained = processedIndices.indexOf(idx) !== -1;
			if (idxContained === false) {
				var matches = 0;
				var len = tuple.t.length;
				for (var i = 0; i < len; i++) {
					if (this._foundInTarget(tuple.t[i].u, targetTuple)) {
						matches++;
					}
				}
				if (matches === tuple.t.length) {
					return true;
				}
			}

			return false;
		};

		PostProcessMeasuresAsSeries.prototype._getMultiMeasureMun = function _getMultiMeasureMun(index) {
			if (!this._multiMeasureSlotAPI) {
				var slotList = this._getDatasetSlotList();
				for (var i = 0; i < slotList.length; i++) {
					var slot = slotList[i];
					if (SlotAPIHelper.isMultiMeasuresValueSlot(slot)) {
						this._multiMeasureSlotAPI = slot;
						break;
					}
				}
			}
			var dataItemAPIs = this._multiMeasureSlotAPI.getDataItemList();
			return dataItemAPIs[index].getId();
		};

		/**
   * Find the slot ID where the multiMeasureSeries is
   */


		PostProcessMeasuresAsSeries.prototype._getMultiMeasureSeriesId = function _getMultiMeasureSeriesId() {
			var slots = this._getDatasetSlotList();
			var multiMeasureSeriesSlot = _.find(slots, function (slot) {
				return SlotAPIHelper.isMultiMeasuresSeriesSlot(slot);
			});
			return multiMeasureSeriesSlot && multiMeasureSeriesSlot.getId();
		};

		PostProcessMeasuresAsSeries.prototype._getDatasetSlotList = function _getDatasetSlotList() {
			var _this4 = this;

			if (!this._datasetSlotList) {
				var slots = this.visualization.getSlots().getMappedSlotList();
				this._datasetSlotList = slots.filter(function (slot) {
					return slot.getDefinition().getDatasetIdList().indexOf(_this4.queryDefinition.getId()) !== -1;
				});
			}
			return this._datasetSlotList;
		};

		return PostProcessMeasuresAsSeries;
	}(QueryPostProcessor);

	return PostProcessMeasuresAsSeries;
});
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