Keep a version of harvest data around with same keys other stuff has, before renaming columns
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1 changed files with 5 additions and 3 deletions
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@ -168,20 +168,22 @@ latest = tl.recorded.max()
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# Separate Harvest from non-Harvest projects, and also filter out any blank
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# projects, but save those too for a CSV of the excluded items.
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harvest = tl[tl.project.isin(harvest_project_names.keys())]
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hrvst = tl[tl.project.isin(harvest_project_names.keys())]
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other = tl[tl.project.isin(other_project_names.keys())]
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unknown = tl[~tl.project.isin(replacement_project_names.keys())]
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harvest.rename(columns = {'date': 'Date', 'project': 'Project', 'description': 'Note'}, inplace = True)
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harvest = hrvst.rename(columns = {'date': 'Date', 'project': 'Project', 'subproject': 'Task', 'description': 'Note'})
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harvest["Hours"] = harvest["time"]/60
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harvest["First name"] = "Benjamin"
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harvest["Last name"] = "Melançon"
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harvest.drop(columns = ['started', 'recorded', 'time'], inplace=True)
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if not debug:
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harvest.to_csv('harvest-timesheets.csv', index=False)
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other.to_csv('not-harvest.csv', index=False)
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settings.pomodoro_latest_recorded(latest)
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else:
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harvest_grouped = harvest.groupby("project").agg({"time": "sum"})["time"]/60
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hrvst_grouped = hrvst.groupby("project").agg({"time": "sum"})["time"]/60
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other_grouped = other.groupby("project").agg({"time": "sum"})["time"]/60
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unknown_grouped = unknown.groupby("project").agg({"time": "sum"})["time"]/60
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print("We do not write to the harvest-ready.csv nor update the latest recorded setting when run interactively in the python shell.")
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