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Present Enbridge implementation - https://mqidentity-my.sharepoint.com/:w:/g/personal/nkhadri_atomiton_com/ERo7AJWT0rNIv78t_72XPNwBBAANUTov0WtpikAcFRcvaQ?e=kOP3oE

Table of Contents

10th May / 11th May

  1. All the reusable functions are moved to new class - library.py in DAS Project

    Image Added

    2. Input meter data csv, feature engineering config and out location is passed in DAS config

    Image Added

3. DAS script: getting the arguments and calling the library functions and saving into csv. Need support to save back to DB from python.

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4. Config in ConfigObj (third party library alternative to default configParser) - comment is #

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5. Output will have the FMV eps, duration, mag columns for measurements in config

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View file
nameout.csv
View file
namefeature_engg_config.ini
View file
nameflowProcessAlarmData.csv

7th May 2021

Config files:

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So easy to access the values.

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Generalize command-line argument, We can have a class, and function which can abstract the variables passing value, help, default values.. But the limitation is arguments would be passed in a dictionaly.

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6th May 2021:

After defining the reusable functions, what else is needed for DAS users to implement feature engineering.

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