hdx-data-freshness-dbclean 1.0.2

HDX Data Freshness Database Clean

Utility to clean Freshness Database

DEPRECATED - code moved to https://github.com/OCHA-DAP/hdx-data-freshness

This script cleans the freshness database.

Usage

python -m hdx.freshness.dbactions [-db/--db_uri=] [-dp/--db_params=] [action]

Either db_uri or db_params must be provided or the environment variable DB_URI must be set. db_uri or DB_URI are of form: postgresql+psycopg://user:password@host:port/database

db_params is of form: database=XXX,host=X.X.X.X,username=XXX,password=XXX,port=1234, ssh_host=X.X.X.X,ssh_port=1234,ssh_username=XXX, ssh_private_key=/home/XXX/.ssh/keyfile

action:

• "clone" which creates a shallow clone of the database which only has all the runs and one dataset and its resources per run for testing purposes.

• "clean" (the default) cleans the database by removing runs according to these rules:

  1. Keep a handful of runs around the end of each quarter all the way back to the first run in 2017
  2. Keep daily runs going back 2 years
  3. Keep weekly runs from 2 to 4 years back
  4. Keep monthly runs for 4 years back and earlier