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Fork of original by Callum Rollo. Quick utilities for parsing nginx and apache logs for ERDDAP requests

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Quick utilities for parsing nginx and apache logs.

This script takes apache and/or nginx logs as input. It is made to analyse visitors to an ERDDAP server, but should work on any web traffic.

The jupyter notebook performs the following steps:

  1. Read in apache and nginx logs, combine them into one consistent dataframe
  2. Find the ips that made the greatest number of requests. Get their info from ip-api.com
  3. Remove suspected spam/bot requests
  4. Perform basic anaylysis to graph number of requests and users over time, most popular datasets/datatypes and geographic distribution of users

A blog post explaining this notebook in more detail can be found at https://callumrollo.com/weblogparse.html

A note on example data

If you don't have your own ERDDAP logs to hand, you can use the example data in example_data/nginx_example_logs. This is anonymmised data from a production ERDDAPP server erddap.observations.voiceoftheocean.org. The ip addresses have been randommly generated, as have the user agents. All subscription emails have been replaced with [email protected]

License

This project is licensed under MIT.

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Fork of original by Callum Rollo. Quick utilities for parsing nginx and apache logs for ERDDAP requests

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