List Sheets

Retrieves an offices.csv object from AWS S3, reads it into rows, and loops over each row keeping only four selected columns. The reduced rows are collected into a list, written to a new CSV file, and uploaded back to S3 as offices_reduced.csv. The workflow runs on demand.

Deletes a specific sheet from a Google Sheets spreadsheet and logs the result. A minimal, on-demand example workflow.

On the first day of every month at 09:00, computes the previous month, creates a new Google Sheet tab for it, and fetches the tracked-time report from Nifty. It loops over each tracked task to retrieve details and compute its duration in hours, writes a row per task, adds a total-hours row, and emails a notification with a link to the spreadsheet.

Reads a local cities.csv file, parses it, and loops over each row. Rows with both a City and a State value are logged and inserted into the PostgreSQL CITY table; rows missing either value are logged as warnings. After the loop, it queries the row count of the CITY table and logs the total.