A simple python script that allows the downloading of Kibana reports based on a configurable timeframe and output file size.

The logs supporting my application are only available to me via a Kibana interface which is tied to a Cloud Foundry implementation. The Kibana instance is configured to limit the download file size and quietly truncate at 20MB. Based on this, I needed a way to easily split my report request up into chunks to work within the 20MB download limit but to also reconstruct the chunks back into a single report file.

• Automate Kibana report extraction to support my auditing and archiving requirements.
• Make the code simple to understand to instill trust in its usage.
• Avoid using 3rd party dependencies if possible (i.e., focus on using base Python features)
• Provide a solution that can be easily enhanced as time allows.

1. Clone this repository.
2. pip install requirements.txt (i.e., pip install -r requirements.txt)
3. Suggested step Create another git repository to store your custom Kibana report definitions.
4. Cache your Kibana report definitions in a .json file(s) based on the sample .json file format.
5. Obtain an active Kibana security token (right now this means the value of uaa-auth).
6. Run the Kibana report downloader script.

1. Log in to Kibana (I’m using v 7.9.3)
2. Click Discover
3. Click Open
4. Find your report and open it
5. Click Share, CSV Reports, “Copy POST URL”
6. Save each report definition in a .json file

Example:

python kibana_report_downloader.py --del_wip=false --data_folder=.\data --report_file=.\reports\test.json --start_date=2021-12-01T00:00:00.000Z --end_date=2021-12-31T23:59:59.999Z --kibana_api=https://logs.fr.cloud.gov --auth=put value of uaa-auth here

• del_wip = true/false flag to determine if the work-in-progress folder should be deleted after report concatenation. It can be useful to keep if you want to debug the processing results.
• data_folder = folder path to where the downloaded report(s) should be saved.
• report_file = file path to the .json file storing the Kibana report definitions to execute (1 or more).
• start_date = The start date that will be injected into report requests.
• end_date = The end date that will be injected into report requests.
• kibana_api = The endpoint to use to download reports (future sniff this value out of report URLs)
• auth = The value of uaa-auth which provides access to Kibana from the script (future find another way to obtain authentication information)

Please see the the [issue tracker.

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