export function processLogSeriesRow(
  series: SeriesData,
  fieldCache: FieldCache,
  rowIndex: number,
  uniqueLabels: Labels
): LogRowModel {
  const row = series.rows[rowIndex];
  const timeFieldIndex = fieldCache.getFirstFieldOfType(FieldType.time).index;
  const ts = row[timeFieldIndex];
  const stringFieldIndex = fieldCache.getFirstFieldOfType(FieldType.string).index;
  const message = row[stringFieldIndex];
  const time = dateTime(ts);
  const timeEpochMs = time.valueOf();
  const timeFromNow = time.fromNow();
  const timeLocal = time.format('YYYY-MM-DD HH:mm:ss');
  const logLevel = getLogLevel(message);
  const hasAnsi = hasAnsiCodes(message);
  const search = series.meta && series.meta.search ? series.meta.search : '';

  return {
    logLevel,
    timeFromNow,
    timeEpochMs,
    timeLocal,
    uniqueLabels,
    hasAnsi,
    entry: hasAnsi ? ansicolor.strip(message) : message,
    raw: message,
    labels: series.labels,
    searchWords: search ? [search] : [],
    timestamp: ts,
  };
}

  getSeriesList(options: Options): TimeSeries[] {
    const list: TimeSeries[] = [];
    const { dataList, range } = options;

    if (!dataList || !dataList.length) {
      return list;
    }

    for (const series of dataList) {
      const { fields } = series;
      const cache = new FieldCache(fields);
      const time = cache.getFirstFieldOfType(FieldType.time);

      if (!time) {
        continue;
      }

      const seriesName = series.name ? series.name : series.refId;

      for (let i = 0; i < fields.length; i++) {
        if (fields[i].type !== FieldType.number) {
          continue;
        }

        const field = fields[i];
        let name = field.title;

        if (!field.title) {
          name = field.name;
        }

        if (seriesName && dataList.length > 0 && name !== seriesName) {
          name = seriesName + ' ' + name;
        }

        const datapoints = [];
        for (const row of series.rows) {
          datapoints.push([row[i], row[time.index]]);
        }

        list.push(this.toTimeSeries(field, name, datapoints, list.length, range));
      }
    }

    // Merge all the rows if we want to show a histogram
    if (this.panel.xaxis.mode === 'histogram' && !this.panel.stack && list.length > 1) {
      const first = list[0];
      first.alias = first.aliasEscaped = 'Count';
      for (let i = 1; i < list.length; i++) {
        first.datapoints = first.datapoints.concat(list[i].datapoints);
      }
      return [first];
    }
    return list;
  }

export function processLogSeriesRow(
  series: SeriesData,
  fieldCache: FieldCache,
  rowIndex: number,
  uniqueLabels: Labels
): LogRowModel {
  const row = series.rows[rowIndex];
  const timeFieldIndex = fieldCache.getFirstFieldOfType(FieldType.time).index;
  const ts = row[timeFieldIndex];
  const stringFieldIndex = fieldCache.getFirstFieldOfType(FieldType.string).index;
  const message = row[stringFieldIndex];
  const time = dateTime(ts);
  const timeEpochMs = time.valueOf();
  const timeFromNow = time.fromNow();
  const timeLocal = time.format('YYYY-MM-DD HH:mm:ss');

  let logLevel = LogLevel.unknown;
  const logLevelField = fieldCache.getFieldByName('level');

  if (logLevelField) {
    logLevel = getLogLevelFromKey(row[logLevelField.index]);
  } else if (series.labels && Object.keys(series.labels).indexOf('level') !== -1) {
    logLevel = getLogLevelFromKey(series.labels['level']);
  } else {
    logLevel = getLogLevel(message);
  }
  const hasAnsi = hasAnsiCodes(message);
  const searchWords = series.meta && series.meta.searchWords ? series.meta.searchWords : [];

  return {
    logLevel,
    timeFromNow,
    timeEpochMs,
    timeLocal,
    uniqueLabels,
    hasAnsi,
    searchWords,
    entry: hasAnsi ? ansicolor.strip(message) : message,
    raw: message,
    labels: series.labels,
    timestamp: ts,
  };
}

export const getGraphSeriesModel = (
  data: PanelData,
  seriesOptions: SeriesOptions,
  graphOptions: GraphOptions,
  legendOptions: GraphLegendEditorLegendOptions
) => {
  const graphs: GraphSeriesXY[] = [];

  const displayProcessor = getDisplayProcessor({
    field: {
      decimals: legendOptions.decimals,
    },
  });

  for (const series of data.series) {
    const fieldCache = new FieldCache(series.fields);
    const timeColumn = fieldCache.getFirstFieldOfType(FieldType.time);
    if (!timeColumn) {
      continue;
    }

    const numberFields = fieldCache.getFields(FieldType.number);
    for (let i = 0; i < numberFields.length; i++) {
      const field = numberFields[i];
      // Use external calculator just to make sure it works :)
      const points = getFlotPairs({
        series,
        xIndex: timeColumn.index,
        yIndex: field.index,
        nullValueMode: NullValueMode.Null,
      });

      if (points.length > 0) {
        const seriesStats = reduceField({
          series,
          reducers: legendOptions.stats,
          fieldIndex: field.index,
        });
        let statsDisplayValues: DisplayValue[];

        if (legendOptions.stats) {
          statsDisplayValues = legendOptions.stats.map<DisplayValue>(stat => {
            const statDisplayValue = displayProcessor(seriesStats[stat]);

            return {
              ...statDisplayValue,
              text: statDisplayValue.text,
              title: stat,
            };
          });
        }

        const seriesColor =
          seriesOptions[field.name] && seriesOptions[field.name].color
            ? getColorFromHexRgbOrName(seriesOptions[field.name].color)
            : colors[graphs.length % colors.length];

        graphs.push({
          label: field.name,
          data: points,
          color: seriesColor,
          info: statsDisplayValues,
          isVisible: true,
          yAxis: (seriesOptions[field.name] && seriesOptions[field.name].yAxis) || 1,
        });
      }
    }
  }

  return graphs;
};