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evaluation-orchestrator
Commit 67940376 authored by Daniel Seybold's avatar Daniel Seybold
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minor fix to availability phases plot, now storing as well dataframes of phases

parent 70c1ca71
Pipeline #53767 passed with stage
    in 45 minutes and 20 seconds
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    plotting/timeseries/plotEvaluationPhases.py
    View file @ 67940376
    ......@@ -130,7 +130,7 @@ def plot_availability_timeseries(inputPath, df,workloadPhase):
    #recovery avg
    recoveryAvg = calculate_phase_average(extractedTimeseriesData,df.loc[index,'RecoveryDBMSStart'],df.loc[index,'RecoveryDBMSEnd'])
    plt.hlines(y=unhealthyAvg, xmin=df.loc[index,'RecoveryDBMSStart'], xmax=df.loc[index,'RecoveryDBMSEnd'], color='orange', linestyles='dashed', zorder=3, label='recovery avg.')
    plt.hlines(y=recoveryAvg, xmin=df.loc[index,'RecoveryDBMSStart'], xmax=df.loc[index,'RecoveryDBMSEnd'], color='orange', linestyles='dashed', zorder=3, label='recovery avg.')
    #healthy avg
    if (index + 1) == len(df.index):
    healtyAvg = calculate_phase_average(extractedTimeseriesData,df.loc[index,'RecoveryDBMSEnd'],evaluationEnd)
    ......@@ -148,6 +148,10 @@ def plot_availability_timeseries(inputPath, df,workloadPhase):
    print("saving throughput plot to disk: " + outputFile)
    plt.savefig(outputFile)
    outputDataframe = inputPath + plotting_config.TIMESERiES_FOLDER + "phases-dataframe"
    print("saving phases dataframe to disk: " + outputDataframe)
    df.to_pickle(outputDataframe)
    def plot_throughput_timeseries(inputPath, scaleOutStart, scaleOutEnd):
    ......
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