This is a command-line program designed to automate a particular timetabling process. The program expects two things:
- A path to an existing timetable, which has patient-numbers filled in but not necessarily other information.
- A path to a directory containing timetables from the past, which are already filled out.
The program then looks through the directory of old timetables, and retreives the most recent information for all past patients. Then, using this information, the program figures out if any of the cells in the new, empty timetable can be filled with past patient data. If so, the program will fill out the relevant cells. If the patient is not found in any of the past timetables, the program will leave those patients' rows as is (blank).
The timetables are all expected to be in Microsoft Excel format, specifically
.xlsx.
Furthermore the timetables, both old and new, are expected to have table headers which strictly follow the below format:
| Time | Number | Name | Age | F2F/TC | Background | Reason for Attendance | Imaging | TMs |
|---|---|---|---|---|---|---|---|---|
| 00:00 | ### | Josephine Smith | 50 | Loren ipsum | Loren ipsum | Reason | Loren ipsum | Loren ipsum |
The table contents do not have to be in a particular format. Only the headers have to follow the above format.
The program will use the values in the "Number" column to attempt to uniquely identify patients. This meanst that for a row to be filled out, its "Number" cell must contain the relevant and correct patient number.
The program will attempt to fill in patient data for the following columns, based on what it can find from the patient's most recent records.
- Name
- Age
- Background
- Reason for attendance
- Imaging
- TMs
This means that the "Time" and "F2F/TC" columns will never be filled.
When reading through the old patient records, the program will decide which data is most recent based on the name of the timetable. That is, the program will sort the contents of the old records directory alphabetically, and assume that the files that end up at the bottom are the most recent. This is because, given a YYYY-MM-DD or similar naming format for the old timetables, the file names corresponding to the latest dates will be sorted to the bottom. So, to preserve the behaviour of the program retreiving the most recent information, please make sure that the old record timetables are named in this way.
- Install python 3 onto your system, if not available already.
- Git clone this repository onto your local system, at whatever desired location.
- Install the required python module dependencies. This can be done by simply executing the following command from within this project directory:
$ python3 -m pip install -r requirements.txt
Or to do the same manually:
$ python3 -m pip install pandas openpyxl
It may be useful to install these python dependencies in a python virtual environment, so as not to pollute the main system python.
- Done! Now, the program can be run via the command line from the project directory using the command:
$ python3 ttt.py
To see the command line help menu, try
python3 ttt.py --help.
$ python3 ttt.py -h
usage: ttt.py [-h] new_timetable old_timetables_dir
TimeTable-o-Tron (TTT)
positional arguments:
new_timetable Path to the new (pre-filled) timetable. The script
expects an excel file (xlsx) with the colums: ["Time",
"Number", "Name", "Age", "F2F/TC", "Background",
"Reason for Attendance", "Imaging", "TMs"] in this
order. Based on the existing values in the "Number"
column of this new timetable specified, the script will
attempt to auto-fill missing values for the rest of the
columns, using data from previous dates' timetables.
old_timetables_dir Path to a directory (i.e. folder) containing previous
dates' timetables, similarly formatted as above. The
script will use this directory to look for information
on patients specified in the new timetable, to see if
it can fill in the patient data for you.
options:
-h, --help show this help message and exit