remove processTimeSeries

packages/grafana-ui/src/utils/index.ts

-export * from './processTimeSeries';
 export * from './processTableData';
 export * from './processTableData';
 export * from './valueFormats/valueFormats';
 export * from './valueFormats/valueFormats';
 export * from './colors';
 export * from './colors';

packages/grafana-ui/src/utils/processTimeSeries.ts

-// Libraries
-import isNumber from 'lodash/isNumber';
-
-import { colors } from './colors';
-
-// Types
-import { getFlotPairs } from './flotPairs';
-import { TimeSeriesVMs, NullValueMode, TimeSeriesValue, TableData } from '../types';
-
-interface Options {
-  data: TableData[];
-  xColumn?: number; // Time (or null to guess)
-  yColumn?: number; // Value (or null to guess)
-  nullValueMode: NullValueMode;
-}
-
-// NOTE: this should move to processTableData.ts
-// I left it as is so the merge changes are more clear.
-export function processTimeSeries({ data, xColumn, yColumn, nullValueMode }: Options): TimeSeriesVMs {
-  const vmSeries = data.map((item, index) => {
-    if (!isNumber(xColumn)) {
-      xColumn = 1; // Default timeseries colum.  TODO, find first time field!
-    }
-    if (!isNumber(yColumn)) {
-      yColumn = 0; // TODO, find first non-time field
-    }
-
-    // TODO? either % or throw error?
-    if (xColumn >= item.columns.length) {
-      throw new Error('invalid colum: ' + xColumn);
-    }
-    if (yColumn >= item.columns.length) {
-      throw new Error('invalid colum: ' + yColumn);
-    }
-
-    const colorIndex = index % colors.length;
-    const label = item.columns[yColumn].text;
-
-    // Use external calculator just to make sure it works :)
-    const result = getFlotPairs({
-      rows: item.rows,
-      xIndex: xColumn,
-      yIndex: yColumn,
-      nullValueMode,
-    });
-
-    // stat defaults
-    let total = 0;
-    let max: TimeSeriesValue = -Number.MAX_VALUE;
-    let min: TimeSeriesValue = Number.MAX_VALUE;
-    let logmin = Number.MAX_VALUE;
-    let avg: TimeSeriesValue = null;
-    let current: TimeSeriesValue = null;
-    let first: TimeSeriesValue = null;
-    let delta: TimeSeriesValue = 0;
-    let diff: TimeSeriesValue = null;
-    let range: TimeSeriesValue = null;
-    let timeStep = Number.MAX_VALUE;
-    let allIsNull = true;
-    let allIsZero = true;
-
-    const ignoreNulls = nullValueMode === NullValueMode.Ignore;
-    const nullAsZero = nullValueMode === NullValueMode.AsZero;
-
-    let currentTime: TimeSeriesValue = null;
-    let currentValue: TimeSeriesValue = null;
-    let nonNulls = 0;
-    let previousTime: TimeSeriesValue = null;
-    let previousValue = 0;
-    let previousDeltaUp = true;
-
-    for (let i = 0; i < item.rows.length; i++) {
-      currentValue = item.rows[i][yColumn];
-      currentTime = item.rows[i][xColumn];
-
-      if (typeof currentTime !== 'number') {
-        continue;
-      }
-
-      if (currentValue !== null && typeof currentValue !== 'number') {
-        throw { message: 'Time series contains non number values' };
-      }
-
-      // Due to missing values we could have different timeStep all along the series
-      // so we have to find the minimum one (could occur with aggregators such as ZimSum)
-      if (previousTime !== null && currentTime !== null) {
-        const currentStep = currentTime - previousTime;
-        if (currentStep < timeStep) {
-          timeStep = currentStep;
-        }
-      }
-
-      previousTime = currentTime;
-
-      if (currentValue === null) {
-        if (ignoreNulls) {
-          continue;
-        }
-        if (nullAsZero) {
-          currentValue = 0;
-        }
-      }
-
-      if (currentValue !== null) {
-        if (isNumber(currentValue)) {
-          total += currentValue;
-          allIsNull = false;
-          nonNulls++;
-        }
-
-        if (currentValue > max) {
-          max = currentValue;
-        }
-
-        if (currentValue < min) {
-          min = currentValue;
-        }
-
-        if (first === null) {
-          first = currentValue;
-        } else {
-          if (previousValue > currentValue) {
-            // counter reset
-            previousDeltaUp = false;
-            if (i === item.rows.length - 1) {
-              // reset on last
-              delta += currentValue;
-            }
-          } else {
-            if (previousDeltaUp) {
-              delta += currentValue - previousValue; // normal increment
-            } else {
-              delta += currentValue; // account for counter reset
-            }
-            previousDeltaUp = true;
-          }
-        }
-        previousValue = currentValue;
-
-        if (currentValue < logmin && currentValue > 0) {
-          logmin = currentValue;
-        }
-
-        if (currentValue !== 0) {
-          allIsZero = false;
-        }
-      }
-    }
-
-    if (max === -Number.MAX_VALUE) {
-      max = null;
-    }
-
-    if (min === Number.MAX_VALUE) {
-      min = null;
-    }
-
-    if (result.length && !allIsNull) {
-      avg = total / nonNulls;
-      current = result[result.length - 1][1];
-      if (current === null && result.length > 1) {
-        current = result[result.length - 2][1];
-      }
-    }
-
-    if (max !== null && min !== null) {
-      range = max - min;
-    }
-
-    if (current !== null && first !== null) {
-      diff = current - first;
-    }
-
-    const count = result.length;
-
-    return {
-      data: result,
-      label: label,
-      color: colors[colorIndex],
-      allIsZero,
-      allIsNull,
-      stats: {
-        total,
-        min,
-        max,
-        current,
-        logmin,
-        avg,
-        diff,
-        delta,
-        timeStep,
-        range,
-        count,
-        first,
-      },
-    };
-  });
-
-  return vmSeries;
-}