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pylog-stats's Introduction

itchy-green-monster

Grabs all latency information located in log files within folder with run.py and fxtract.py in parent folder. to run in bash; python run.py

If logs have previously been extracted and cPickled, option to load pickle is available as log.p. If data requires reprocesseing, input anything or than 'y' or 'Y' on initial prompt. The following prompt will require you to select specific dates, if intended dates are unspecific; input 'ALL' If intended filter includes specific messages, refer to LOG files to input on the next prompt, if irrelevant; input 'ALL'

If data loaded from pickle, data will then be saved to 'log.csv' and subsequently provide statistical summary as a whole and also grouped/sorted by date and msg.

If data not loaded in pickle, python will iterate through every log file within subfolder of parent directory and return(save) data specified in earlier prompts.

Following the iteration, a prompt will appear if you would like to update the cPickle file.

An option to process a statistical summary as a a whole and also grouped/sorted by date and msg will also be provided following the prompt.

pylog-stats's People

Contributors

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pylog-stats's Issues

Add requirements.txt file to your project

By running the command "pip freeze --local" while in your virtualenv (aka activated) you should see all the dependencies for your project. If you pipe this output to a file called requirements.txt eg. "pip freeze -- local > requirements.txt" and add that your the root of your git repo, it will allow others to install these dependencies by simply running the command "pip install -r requirements.txt" (like me for example, since I cloned your project, but I don't know libraries to install to make it run). It's a small thing but very cool.

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