@grafana/data#getFlotPairs TypeScript Examples

processField(fieldInfo: FieldInfo) {
    const { panel, dashboard } = this;

    const name = fieldInfo.field.config.title || fieldInfo.field.name;
    let calc = panel.valueName;
    let calcField = fieldInfo.field;
    let val: any = undefined;

    if ('name' === calc) {
      val = name;
    } else {
      if ('last_time' === calc) {
        if (fieldInfo.frame.firstTimeField) {
          calcField = fieldInfo.frame.firstTimeField;
          calc = ReducerID.last;
        }
      }

      // Normalize functions (avg -> mean, etc)
      const r = fieldReducers.getIfExists(calc);
      if (r) {
        calc = r.id;
        // With strings, don't accidentally use a math function
        if (calcField.type === FieldType.string) {
          const avoid = [ReducerID.mean, ReducerID.sum];
          if (avoid.includes(calc)) {
            calc = panel.valueName = ReducerID.first;
          }
        }
      } else {
        calc = ReducerID.lastNotNull;
      }

      // Calculate the value
      val = reduceField({
        field: calcField,
        reducers: [calc],
      })[calc];
    }

    const processor = getDisplayProcessor({
      field: {
        ...fieldInfo.field,
        config: {
          ...fieldInfo.field.config,
          unit: panel.format,
          decimals: panel.decimals,
          mappings: convertOldAngularValueMapping(panel),
        },
      },
      theme: config.theme,
      timeZone: dashboard.getTimezone(),
    });

    const sparkline: any[] = [];
    const data = {
      field: fieldInfo.field,
      value: val,
      display: processor(val),
      scopedVars: _.extend({}, panel.scopedVars),
      sparkline,
    };

    data.scopedVars['__name'] = { value: name };
    panel.tableColumn = this.fieldNames.length > 1 ? name : '';

    // Get the fields for a sparkline
    if (panel.sparkline && panel.sparkline.show && fieldInfo.frame.firstTimeField) {
      data.sparkline = getFlotPairs({
        xField: fieldInfo.frame.firstTimeField,
        yField: fieldInfo.field,
        nullValueMode: panel.nullPointMode,
      });
    }

    return data;
  }

export function makeSeriesForLogs(rows: LogRowModel[], intervalMs: number, timeZone: TimeZone): GraphSeriesXY[] {
  // currently interval is rangeMs / resolution, which is too low for showing series as bars.
  // need at least 10px per bucket, so we multiply interval by 10. Should be solved higher up the chain
  // when executing queries & interval calculated and not here but this is a temporary fix.
  // intervalMs = intervalMs * 10;

  // Graph time series by log level
  const seriesByLevel: any = {};
  const bucketSize = intervalMs * 10;
  const seriesList: any[] = [];

  const sortedRows = rows.sort(sortInAscendingOrder);
  for (const row of sortedRows) {
    let series = seriesByLevel[row.logLevel];

    if (!series) {
      seriesByLevel[row.logLevel] = series = {
        lastTs: null,
        datapoints: [],
        alias: row.logLevel,
        target: row.logLevel,
        color: LogLevelColor[row.logLevel],
      };

      seriesList.push(series);
    }

    // align time to bucket size - used Math.floor for calculation as time of the bucket
    // must be in the past (before Date.now()) to be displayed on the graph
    const time = Math.floor(row.timeEpochMs / bucketSize) * bucketSize;

    // Entry for time
    if (time === series.lastTs) {
      series.datapoints[series.datapoints.length - 1][0]++;
    } else {
      series.datapoints.push([1, time]);
      series.lastTs = time;
    }

    // add zero to other levels to aid stacking so each level series has same number of points
    for (const other of seriesList) {
      if (other !== series && other.lastTs !== time) {
        other.datapoints.push([0, time]);
        other.lastTs = time;
      }
    }
  }

  return seriesList.map((series, i) => {
    series.datapoints.sort((a: number[], b: number[]) => {
      return a[1] - b[1];
    });

    // EEEP: converts GraphSeriesXY to DataFrame and back again!
    const data = toDataFrame(series);
    const points = getFlotPairs({
      xField: data.fields[1],
      yField: data.fields[0],
      nullValueMode: NullValueMode.Null,
    });

    const timeField = data.fields[1];
    timeField.display = getDisplayProcessor({
      field: timeField,
      timeZone,
    });

    const valueField = data.fields[0];
    valueField.config = {
      ...valueField.config,
      color: series.color,
    };

    const graphSeries: GraphSeriesXY = {
      color: series.color,
      label: series.alias,
      data: points,
      isVisible: true,
      yAxis: {
        index: 1,
        min: 0,
        tickDecimals: 0,
      },
      seriesIndex: i,
      timeField,
      valueField,
      // for now setting the time step to be 0,
      // and handle the bar width by setting lineWidth instead of barWidth in flot options
      timeStep: 0,
    };

    return graphSeries;
  });
}

getGraphSeriesModel = (
  dataFrames: DataFrame[],
  timeZone: TimeZone,
  seriesOptions: SeriesOptions,
  graphOptions: GraphOptions,
  legendOptions: GraphLegendEditorLegendOptions,
  fieldOptions?: FieldDisplayOptions
) => {
  const graphs: GraphSeriesXY[] = [];

  const displayProcessor = getDisplayProcessor({
    field: {
      config: {
        unit: fieldOptions?.defaults?.unit,
        decimals: legendOptions.decimals,
      },
    },
  });

  let fieldColumnIndex = -1;
  for (const series of dataFrames) {
    const { timeField } = getTimeField(series);
    if (!timeField) {
      continue;
    }

    for (const field of series.fields) {
      if (field.type !== FieldType.number) {
        continue;
      }
      // Storing index of series field for future inspection
      fieldColumnIndex++;

      // Use external calculator just to make sure it works :)
      const points = getFlotPairs({
        xField: timeField,
        yField: field,
        nullValueMode: NullValueMode.Null,
      });

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

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

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

        let color: FieldColor;
        if (seriesOptions[field.name] && seriesOptions[field.name].color) {
          // Case when panel has settings provided via SeriesOptions, i.e. graph panel
          color = {
            mode: FieldColorMode.Fixed,
            fixedColor: seriesOptions[field.name].color,
          };
        } else if (field.config && field.config.color) {
          // Case when color settings are set on field, i.e. Explore logs histogram (see makeSeriesForLogs)
          color = field.config.color;
        } else {
          color = {
            mode: FieldColorMode.Fixed,
            fixedColor: colors[graphs.length % colors.length],
          };
        }

        field.config = fieldOptions
          ? {
              ...field.config,
              unit: fieldOptions.defaults.unit,
              decimals: fieldOptions.defaults.decimals,
              color,
            }
          : { ...field.config, color };

        field.display = getDisplayProcessor({ field });

        // Time step is used to determine bars width when graph is rendered as bar chart
        const timeStep = getSeriesTimeStep(timeField);
        const useMsDateFormat = hasMsResolution(timeField);

        timeField.display = getDisplayProcessor({
          timeZone,
          field: {
            ...timeField,
            type: timeField.type,
            config: {
              unit: `time:${useMsDateFormat ? MS_DATE_TIME_FORMAT : DEFAULT_DATE_TIME_FORMAT}`,
            },
          },
        });

        graphs.push({
          label: field.name,
          data: points,
          color: field.config.color?.fixedColor,
          info: statsDisplayValues,
          isVisible: true,
          yAxis: {
            index: (seriesOptions[field.name] && seriesOptions[field.name].yAxis) || 1,
          },
          // This index is used later on to retrieve appropriate series/time for X and Y axes
          seriesIndex: fieldColumnIndex,
          timeField: { ...timeField },
          valueField: { ...field },
          timeStep,
        });
      }
    }
  }

  return graphs;
}

getGraphSeriesModel = (
  dataFrames: DataFrame[],
  timeZone: TimeZone,
  seriesOptions: SeriesOptions,
  graphOptions: GraphOptions,
  legendOptions: GraphLegendEditorLegendOptions,
  fieldOptions?: FieldDisplayOptions
) => {
  const graphs: GraphSeriesXY[] = [];

  const displayProcessor = getDisplayProcessor({
    field: {
      config: {
        unit: fieldOptions?.defaults?.unit,
        decimals: legendOptions.decimals,
      },
    },
  });

  let fieldColumnIndex = -1;
  for (const series of dataFrames) {
    const { timeField } = getTimeField(series);
    if (!timeField) {
      continue;
    }

    for (const field of series.fields) {
      if (field.type !== FieldType.number) {
        continue;
      }
      // Storing index of series field for future inspection
      fieldColumnIndex++;

      // Use external calculator just to make sure it works :)
      const points = getFlotPairs({
        xField: timeField,
        yField: field,
        nullValueMode: NullValueMode.Null,
      });

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

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

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

        let color: FieldColor;
        if (seriesOptions[field.name] && seriesOptions[field.name].color) {
          // Case when panel has settings provided via SeriesOptions, i.e. graph panel
          color = {
            mode: FieldColorMode.Fixed,
            fixedColor: seriesOptions[field.name].color,
          };
        } else if (field.config && field.config.color) {
          // Case when color settings are set on field, i.e. Explore logs histogram (see makeSeriesForLogs)
          color = field.config.color;
        } else {
          color = {
            mode: FieldColorMode.Fixed,
            fixedColor: colors[graphs.length % colors.length],
          };
        }

        field.config = fieldOptions
          ? {
              ...field.config,
              unit: fieldOptions.defaults.unit,
              decimals: fieldOptions.defaults.decimals,
              color,
            }
          : { ...field.config, color };

        field.display = getDisplayProcessor({ field });

        // Time step is used to determine bars width when graph is rendered as bar chart
        const timeStep = getSeriesTimeStep(timeField);
        const useMsDateFormat = hasMsResolution(timeField);

        timeField.display = getDisplayProcessor({
          timeZone,
          field: {
            ...timeField,
            type: timeField.type,
            config: {
              unit: `time:${useMsDateFormat ? MS_DATE_TIME_FORMAT : DEFAULT_DATE_TIME_FORMAT}`,
            },
          },
        });

        graphs.push({
          label: field.name,
          data: points,
          color: field.config.color?.fixedColor,
          info: statsDisplayValues,
          isVisible: true,
          yAxis: {
            index: (seriesOptions[field.name] && seriesOptions[field.name].yAxis) || 1,
          },
          // This index is used later on to retrieve appropriate series/time for X and Y axes
          seriesIndex: fieldColumnIndex,
          timeField: { ...timeField },
          valueField: { ...field },
          timeStep,
        });
      }
    }
  }

  return graphs;
}