TypeScript lodash.groupBy函数代码示例

export const searchByFilters = (
		items = [],
		filters = [],
		returnDefaultHidden = false,
		queryFields = ['name', 'desc']
	) => {
	const prefilteredItems = !returnDefaultHidden ? items.filter(({defaultHidden}) => !defaultHidden) : items;
	const groupedFilters = groupBy(filters, 'relatedField');

	if (!filters.length) {
		return prefilteredItems;
	}
	return prefilteredItems.filter((item) => {
		const filteringResults: any = map(groupedFilters, (selectedFilters: any) => {
			const filterType = get(selectedFilters[0], 'type', DATA_TYPES.UNDEFINED);

			switch (filterType) {
				case DATA_TYPES.UNDEFINED:
					return selectedFilters.some((filter) => {
						const filterValue =
							isArray(item[filter.relatedField]) && !item[filter.relatedField].length ? [''] : item[filter.relatedField];
						const itemValue = isArray(filterValue) ? filterValue || [''] : [filterValue];

						return itemValue.every((value) => {
							if (typeof value === 'string') {
								return !filter.value.value ? filter.value.value === value : compareStrings(value, filter.value.value);
							}
							if (typeof value === 'number') {
								return value === filter.value.value;
							}
							return false;
						});
					});
					break;
				case DATA_TYPES.QUERY:
					return selectedFilters.some((filter) => {
						const logFound = item.comments && item.comments.length ? item.comments.some(({ comment }) => {
							if (comment) {
								return compareStrings(comment, filter.value.value);
							}
							return false;
						}) : false;

						return logFound || queryFields.some((field) => {
							return compareStrings(item[field], filter.value.value);
						});
					});
					break;
				case DATA_TYPES.DATE:
					return selectedFilters.every((filter) => {
						const itemValue = item[filter.relatedField];
						if (!itemValue) {
							return false;
						}

						const boundryType = filter.value.value;
						const boundryValue = filter.value.date;

						if (boundryType === 'from') {
							return itemValue >= boundryValue;
						}

						return itemValue <= boundryValue;
					});
					break;
			}
		});

		return filteringResults.every((result) => result);
	});
};

    const doLoadout = async () => {
      if (allowUndo && !store.isVault) {
        reduxStore.dispatch(
          actions.savePreviousLoadout({
            storeId: store.id,
            loadoutId: loadout.id,
            previousLoadout: store.loadoutFromCurrentlyEquipped(
              t('Loadouts.Before', { name: loadout.name })
            )
          })
        );
      }

      let items: DimItem[] = copy(_.flatten(Object.values(loadout.items)));

      const loadoutItemIds = items.map((i) => {
        return {
          id: i.id,
          hash: i.hash
        };
      });

      // Only select stuff that needs to change state
      let totalItems = items.length;
      items = items.filter((pseudoItem) => {
        const item = getLoadoutItem(pseudoItem, store);
        // provide a more accurate count of total items
        if (!item) {
          totalItems--;
          return true;
        }

        const notAlreadyThere =
          item.owner !== store.id ||
          item.location.inPostmaster ||
          // Needs to be equipped. Stuff not marked "equip" doesn't
          // necessarily mean to de-equip it.
          (pseudoItem.equipped && !item.equipped) ||
          pseudoItem.amount > 1;

        return notAlreadyThere;
      });

      // only try to equip subclasses that are equippable, since we allow multiple in a loadout
      items = items.filter((item) => {
        const ok = item.type !== 'Class' || !item.equipped || item.canBeEquippedBy(store);
        if (!ok) {
          totalItems--;
        }
        return ok;
      });

      // vault can't equip
      if (store.isVault) {
        items.forEach((i) => {
          i.equipped = false;
        });
      }

      // We'll equip these all in one go!
      let itemsToEquip = items.filter((i) => i.equipped);
      if (itemsToEquip.length > 1) {
        // we'll use the equipItems function
        itemsToEquip.forEach((i) => {
          i.equipped = false;
        });
      }

      // Stuff that's equipped on another character. We can bulk-dequip these
      const itemsToDequip = items.filter((pseudoItem) => {
        const item = storeService.getItemAcrossStores(pseudoItem);
        return item && item.owner !== store.id && item.equipped;
      });

      const scope = {
        failed: 0,
        total: totalItems,
        successfulItems: [] as DimItem[]
      };

      if (itemsToDequip.length > 1) {
        const realItemsToDequip = _.compact(
          itemsToDequip.map((i) => storeService.getItemAcrossStores(i))
        );
        const dequips = _.map(
          _.groupBy(realItemsToDequip, (i) => i.owner),
          (dequipItems, owner) => {
            const equipItems = _.compact(
              dequipItems.map((i) => dimItemService.getSimilarItem(i, loadoutItemIds))
            );
            return dimItemService.equipItems(storeService.getStore(owner)!, equipItems);
          }
        );
        await Promise.all(dequips);
      }

      await applyLoadoutItems(store, items, loadoutItemIds, scope);

      let equippedItems: DimItem[];
      if (itemsToEquip.length > 1) {
//.........这里部分代码省略.........

 const ret = _.mapValues(alterationsByGeneBySampleKey, (alterationsBySampleId: {[sampleId: string]: ExtendedAlteration[]}, gene: string) => {
     const samplesByCancerType = _.groupBy(samplesExtendedWithClinicalData,(sample:ExtendedSample)=>{
         return sample[groupByProperty];
     });
     return countAlterationOccurences(samplesByCancerType, alterationsBySampleId);
 });

    fn: (context, args) => {
      const seriesStyles: { [key: string]: SeriesStyle } =
        keyBy(args.seriesStyle || [], 'label') || {};

      const sortedRows = sortBy(context.rows, ['x', 'y', 'color', 'size', 'text']);
      const ticks = getTickHash(context.columns, sortedRows);
      const font = args.font ? getFontSpec(args.font) : {};

      const data = map(groupBy(sortedRows, 'color'), (series, label) => {
        const seriesStyle = {
          ...args.defaultStyle,
          ...seriesStyles[label as string],
        };

        const flotStyle = seriesStyle ? seriesStyleToFlot(seriesStyle) : {};

        return {
          ...flotStyle,
          label,
          data: series.map(point => {
            const attrs: {
              size?: number;
              text?: string;
            } = {};

            const x = get(context.columns, 'x.type') === 'string' ? ticks.x.hash[point.x] : point.x;
            const y = get(context.columns, 'y.type') === 'string' ? ticks.y.hash[point.y] : point.y;

            if (point.size != null) {
              attrs.size = point.size;
            } else if (get(seriesStyle, 'points')) {
              attrs.size = seriesStyle.points;
              set(flotStyle, 'bubbles.size.min', seriesStyle.points);
            }

            if (point.text != null) {
              attrs.text = point.text;
            }

            return [x, y, attrs];
          }),
        };
      });

      const gridConfig = {
        borderWidth: 0,
        borderColor: null,
        color: 'rgba(0,0,0,0)',
        labelMargin: 30,
        margin: {
          right: 30,
          top: 20,
          bottom: 0,
          left: 0,
        },
      };

      const result = {
        type: 'render',
        as: 'plot',
        value: {
          font: args.font,
          data: sortBy(data, 'label'),
          options: {
            canvas: false,
            colors: getColorsFromPalette(args.palette, data.length),
            legend: getLegendConfig(args.legend, data.length),
            grid: gridConfig,
            xaxis: getFlotAxisConfig('x', args.xaxis, {
              columns: context.columns,
              ticks,
              font,
            }),
            yaxis: getFlotAxisConfig('y', args.yaxis, {
              columns: context.columns,
              ticks,
              font,
            }),
            series: {
              shadowSize: 0,
              ...seriesStyleToFlot(args.defaultStyle),
            },
          },
        },
      };

      // fix the issue of plot sometimes re-rendering with an empty chart
      // TODO: holy hell, why does this work?! the working theory is that some values become undefined
      // and serializing the result here causes them to be dropped off, and this makes flot react differently.
      // It's also possible that something else ends up mutating this object, but that seems less likely.
      return JSON.parse(JSON.stringify(result));
    },

  groupBy(data, ({ category }) => {
    if (category === 'Activities') {
      return 'activity';
    }

    if (category === 'Animals & Nature') {
      return 'animal';
    }

    if (category === 'Flags') {
      return 'flag';
    }

    if (category === 'Food & Drink') {
      return 'food';
    }

    if (category === 'Objects') {
      return 'object';
    }

    if (category === 'Travel & Places') {
      return 'travel';
    }

    if (category === 'Smileys & People') {
      return 'emoji';
    }

    if (category === 'Symbols') {
      return 'symbol';
    }

    return 'misc';
  }),

  analyze(events: Event[], options?: {outputRecords: boolean, period: Date[]}) {

    options = {
      outputRecords: false,
      ...options
    };

    // TODO: MARKイベントは件数カウントにしたい
    // TODO: 全日イベントはそのまま表示したい

    const days = options.period.length;

    const patterns = this.eventDetector.getPatterns();
    const categories = _.groupBy(patterns, (pattern) => pattern.category);

    const grouped = _.groupBy(events, (event) => event.pattern.name);

    const res = _.map(grouped, (events, key) => {

      const sum = _.sumBy(events, (event) => event.elapsed);

      const hours = this.formatNumber(sum / 1000 / 3600);

      const count = events.length;

      return {key, hours, count, events};

    });

    _.forEach(categories, (patterns, category) => {
      console.log("# " + category);

      let total = 0;

      patterns.forEach((pattern) => {

        const result = res.find((r) => r.key === pattern.name);
        if (result) {
          if (pattern.total !== false) {
            total += result.hours;
          }
          if (pattern.type === EventPatternType.MARK) {
            console.log("- " + pattern.name + " " + result.count + " #");
          } else {
            const avg = this.formatNumber(result.hours / days);
            console.log(`- ${pattern.name} ${result.hours} hours. (avg ${avg})`);
          }

          if (options.outputRecords) {
            if (pattern.type === EventPatternType.ALL_DAY) {
              for (const event of result.events) {
                console.log("    " +
                  event.end.text
                );
              }
            }
            if (pattern.type === EventPatternType.START_GUESS || pattern.type === EventPatternType.START_DEFINITE) {
              for (const event of result.events) {
                console.log("    " +
                  event.end.text + " " +
                  " [ " +
                  " from " + (event.start ? moment(event.start.datetime).format("MM-DD HH:mm") : "--") +
                  " to " + moment(event.end.datetime).format("MM-DD HH:mm") + " " +
                  " elapsed " + Math.floor(event.elapsed / 1000 / 3600) +
                  " ] "
                );
              }
            }
          }
        }

      });

      const avg = this.formatNumber(total / days);
      console.log(`- TOTAL: ${this.formatNumber(total)} hours. (avg ${avg})`);
      console.log("");

    });

  }

export const parseTables = (responseChunk: string): FluxTable[] => {
  const lines = responseChunk.split('\n')
  const annotationLines: string = lines
    .filter(line => line.startsWith('#'))
    .join('\n')
    .trim()
  const nonAnnotationLines: string = lines
    .filter(line => !line.startsWith('#'))
    .join('\n')
    .trim()

  if (_.isEmpty(annotationLines)) {
    throw new Error('Unable to extract annotation data')
  }

  if (_.isEmpty(nonAnnotationLines)) {
    // A response may be truncated on an arbitrary line. This guards against
    // the case where a response is truncated on annotation data
    return []
  }

  const nonAnnotationData = Papa.parse(nonAnnotationLines).data
  const annotationData = Papa.parse(annotationLines).data
  const headerRow = nonAnnotationData[0]
  const tableColIndex = headerRow.findIndex(h => h === 'table')
  const resultColIndex = headerRow.findIndex(h => h === 'result')

  interface TableGroup {
    [tableId: string]: string[]
  }

  // Group rows by their table id
  const tablesData = Object.values(
    _.groupBy<TableGroup[]>(
      nonAnnotationData.slice(1),
      row => row[tableColIndex]
    )
  )

  const groupRow = annotationData.find(row => row[0] === '#group')
  const defaultsRow = annotationData.find(row => row[0] === '#default')
  const dataTypeRow = annotationData.find(row => row[0] === '#datatype')

  // groupRow = ['#group', 'false', 'true', 'true', 'false']
  const groupKeyIndices = groupRow.reduce((acc, value, i) => {
    if (value === 'true') {
      return [...acc, i]
    }

    return acc
  }, [])

  const tables = tablesData.map(tableData => {
    const dataRow = _.get(tableData, '0', defaultsRow)

    const result: string =
      _.get(dataRow, resultColIndex, '') ||
      _.get(defaultsRow, resultColIndex, '')

    const groupKey = groupKeyIndices.reduce((acc, i) => {
      return {...acc, [headerRow[i]]: _.get(dataRow, i, '')}
    }, {})

    const name = Object.entries(groupKey)
      .filter(([k]) => !['_start', '_stop'].includes(k))
      .map(([k, v]) => `${k}=${v}`)
      .join(' ')

    const dataTypes = dataTypeRow.reduce(
      (acc, dataType, i) => ({
        ...acc,
        [headerRow[i]]: dataType,
      }),
      {}
    )

    return {
      id: uuid.v4(),
      data: [[...headerRow], ...tableData],
      name,
      result,
      groupKey,
      dataTypes,
    }
  })

  return tables
}

export function splitSeriesInGraphs(series: Serie[], maxGraph: number, maxSeries: number) {
  return flatMap(groupBy(series, serie => serie.type), type => chunk(type, maxSeries)).slice(
    0,
    maxGraph
  );
}

export const transformData = (report, settings, data): any[] => {
  const AGGREGATE_KEYS = [
    { key: 'Purchase Price',    decimals: 2 },
    { key: 'Tax Collected',     decimals: 2 },
    { key: 'Subtotal',          decimals: 2 },
    { key: 'Cash Given',        decimals: 2 },
    { key: '# Items',           decimals: 0 },
    { key: '# Promos',          decimals: 0 },
    { key: '# Uses',            decimals: 0 },
    { key: 'Quantity',          decimals: 0 },
    { key: 'Reorder Quantity',  decimals: 0 }
  ];

  let baseData = _.map(data, item => {
    return _.reduce(report.columns, (prev, cur: any) => {
      if(!cur.checked && !cur.always) { return prev; }
      const value = _.get(item, cur.key, '');

      prev[cur.name] = value;

      if(_.isNull(value)) {
        prev[cur.name] = '';
      }

      if(_.includes(['Purchase Time', 'Last Sold', 'Start Date', 'End Date'], cur.name)) {
        if(!value) {
          prev[cur.name] = 'Never';
        } else {
          prev[cur.name] = dateFunctions.format(new Date(value), 'YYYY-MM-DD hh:mm A');
        }
      }

      if(cur.name === 'Purchase Method') {
        prev[cur.name] = settings.invoiceMethodDisplay(value);
      }

      return prev;
    }, {});
  });

  if(report.sortBy) {
    baseData = _.sortBy(baseData, item => {
      const value = item[report.sortBy];
      if(!_.isNaN(+value)) { return +value; }
      return (value || '').toLowerCase();
    });

    if(report.optionValues.reverseSort) {
      baseData = baseData.reverse();
    }
  }

  if(report.modifyData) {
    _.each(baseData, item => {
      report.modifyData(item);
    });
  }

  let dataGroups: any = { All: baseData };

  if(report.groupBy) {
    dataGroups = _.groupBy(baseData, report.groupBy);
  }

  if(report.groupByDate) {
    const DATE_KEY = 'Purchase Time';
    const dateGroupBy = report.groupByDate;

    _.each(dataGroups, (group, key) => {

      dataGroups[key] = [];

      const groupedByDate = _.groupBy(group, purchase => dateFunctions[`startOf${report.groupByDate}`](purchase[DATE_KEY]));

      _.each(groupedByDate, (dateGroup: any[]) => {

        const startDateValue = dateFunctions[`startOf${dateGroupBy}`](dateGroup[0][DATE_KEY]);
        const endDateValue = dateFunctions[`endOf${dateGroupBy}`](dateGroup[0][DATE_KEY]);

        _.each([startDateValue, endDateValue], date => {
          dateFunctions.setSeconds(date, 0);
          dateFunctions.setMinutes(date, 0);
        });

        const startDateFormatted = dateFunctions.format(startDateValue, 'YYYY-MM-DD hh:mm A');
        const endDateFormatted = dateFunctions.format(endDateValue, 'YYYY-MM-DD hh:mm A');

        const baseObj = {
          'Purchase Time': `${startDateFormatted} - ${endDateFormatted}`,
          'Purchase Method': 'Unknown'
        };

        _.each(AGGREGATE_KEYS, aggKey => baseObj[aggKey.key] = 0);

        const aggregateObject = _.reduce(dateGroup, (prev, cur) => {
          _.each(AGGREGATE_KEYS, aggKey => prev[aggKey.key] += (+cur[aggKey.key] || 0));
          return prev;
        }, baseObj);

        _.each(AGGREGATE_KEYS, aggKey => aggregateObject[aggKey.key] = aggregateObject[aggKey.key].toFixed(aggKey.decimals));
//.........这里部分代码省略.........

 groupByPlugin() {
   return _.groupBy(this, (entity) => {
     return entity.pluginId;
   });
 }