'_t': 'creation_date',
'_w': 'pomodoro_duration'
}
df = df_original.copy()
#df['_d'] = df['_d'].apply(lambda x: total_time(x))
df['_l'] = df['_l'].apply(lambda x: datetime.datetime.fromtimestamp(x))
df['_t'] = df['_t'].apply(lambda x: datetime.datetime.fromtimestamp(x))
df.rename(columns=new_column_names, inplace=True)
return df
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~|Projects|~~~~~~~~~~~~~~~~~~~~~~```````
projects = {}
for index, project_sample in format_projects(df_projects).iterrows():
project = Project.objects.create(
creation_date=project_sample.creation_date,
name=project_sample.project_name,
user_id=2,
pomodoro_duration=project_sample.pomodoro_duration)
projects[project_sample.id] = project
for index, sample1 in format_work_units(df_work_units).iterrows():
date = time_date_to_datetime(sample1.time, sample1.date)
pomodoro = Pomodoro()
pomodoro.project = projects[sample1.project_id]
pomodoro.user_id = 2
pomodoro.date = date
pomodoro.duration = sample1.duration
pomodoro.save()
