parse-timelogs-for-upload/pomodoro_to_harvest.py

import pandas as pd
# import matplotlib.pyplot as plt

timelog = pd.read_csv("timelog-titled.csv")

timelog["started"] = pd.to_datetime(timelog["started"]).dt.tz_convert("US/Eastern")
timelog["recorded"] = pd.to_datetime(timelog["recorded"]).dt.tz_convert("US/Eastern")
timelog["time"] = 30
# A pomodoro started before 3am Eastern time is considered to be a continuation
# of the day before, so we are, effectively, on West Coast time for determining
# the day we want to associate a time entry with.  PomodoroPrompt saves as UTC.
timelog["date"] = timelog["started"].dt.tz_convert("US/Pacific").dt.date
timelog["day_of_week"] = pd.to_datetime(timelog["date"]).dt.day_name()

# Condense duplicate entries by date, summing the minutes spent.
timelog = timelog.groupby(["date", "description"]).agg({"time": ['sum']})