Python Gift Exchange Picker
My wife is in charge of our families' annual Secret Santa Gift Exchange. Because she, unfortunately, knows about my background in math and computer science her requirements have become more extreme. A hat containing folded pieces of paper with hand-written names is no longer sufficient. Python Gift Exchange Picker (pyge) is my third and best implementation of my wife's requirements:
- It must match each person to a different person.
- The match should not be in the same household.
- The match should not be the same gender.
- The match should not be in the same age group.
- The match must not happen again for at least three years.
To accomplish this, pyge imports a list of participants along with their feature sets and transforms each participant's feature set into numerical values. Each value is then vectorized and a pairwise euclidean distance between each participant is computed; this can be represented as either a graph or a matrix - I chose a matrix. The distances are then multiplied by a per-participant "qualifier" coefficient and the results are used to build a weighted distribution. The pairs of participants are then randomly matched using the weighted distribution until either all participants have been matched or no matches can be made. If no matches can be made and there are still participants pyge will backtrack until all participants can be successfully matched or it is discovered that it is impossible to match the given set of participants.
If you're interested, you can read a more detailed description here.
pip install pyge
Pyge has only one required argument: the path to a csv file containing the people who are participating in the gift exchange. An example csv file, jazz.csv has been provided.
$ pyge /path/to/jazz.csv Herbie Hancock, Billie Holiday Ella Fitzgerald, Herbie Hancock Charlie Parker, Nina Simone Nina Simone, Bill Evans Miles Davis, Duke Ellington John Coltrane, Sarah Vaughan Sarah Vaughan, Louis Armstrong Louis Armstrong, Ella Fitzgerald Billie Holiday, Charlie Parker Duke Ellington, John Coltrane Dizzy Gillespie, Miles Davis Bill Evans, Dizzy Gillespie
Input CSV File Format
name, date of birth, sex, "city, state or province or territory"
Any column containing a comma should be quoted with double-quotes, for example,
Date of Birth field is in
Sex can be
City by default only includes cities in the United States. See Using Other Country Databases for more information on changing the country.
Pyge saves a historical list of pairings which is used to ensure participants will not be paired for at a minimum of three exchanges. Saving history can be toggled with the
--no-history flags. The minimum number of exchanges can be modified with the
Using Other Country Databases
You can pass a different city weight database file by using the
--citydb argument. The city weight database is a csv file in the following format:
city, state or province or territory, normalized latitude, normalized longitude
Where normalized latitude and longitude are the values normalized between -1 and +1 (divided by 180).
usage: pyge [-h] [-s] [-n] [-c citydb] [-l historylength] file Generates a list of people pairings for a holiday gift exchange. positional arguments: file path to the csv containing a list of people who want to be part of the celebration optional arguments: -h, --help show this help message and exit -s, --save-history save a history file of matches -n, --no-history do not save a history file of matches -c citydb, --citydb citydb path to city csv for distance calculations -l historylength, --history-length historylength number of cycles before people can be paired again
Cities database provided by https://simplemaps.com/data/us-cities.