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A mix and match (swap) library to empower swapping-based projects.

Project description

swap-anything

A mix and match (swap) library to empower swapping-based projects.

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NOTE: swapanything is still in its proof-of-concept phase (some of the things in readme are not implemented yet!). If you want to contribute or sponsor this project, visit www.founderswap.xyz

Quickstart

Check the developer guide

Using CLI (example)

You can start swapping using spreadsheets as sources/destinations of data. Let's prepare 3 files:

  1. subjects.xlsx - the table of subjects to match with details on features to use to calculate the score for a match. Made as follow:

    SubjectId Interests Tags Score1 Score2
    sub001 i1,i2 t1,t2 0.2 0.5
    sub002 i1 t2 0.2 0.1
    sub003 i3 t1 0.15 0.2
    sub004 i1,i2 t1 0.2 0.5
  2. availabilities.xlsx - a table containing match slots. Subjects can match when they have one or more slots in common. Made as follow:

    AvailabilitiesSubjectId Availabilities
    sub001 2023-01-01 15:30, 2023-01-02 16:30
    sub002 2023-01-01 15:30
    sub003 2023-01-01 15:30
    sub004 2023-01-02 16:30
  3. exclusions.xlsx - a table containing matches to exclude (e.g. subjects that have already matched). Made as follow:

    Subject1 Subject2
    sub001 sub004

Then you can use the command line tool to make the swapping ✨

swapanything --from spreadsheet \
    --subject-id SubjectId \
    --subject-features Interests,Tags,Score1,Score2 \
    --availabilities-subject-col AvailabilitiesSubjectId \
    --availabilities-column Availabilities \
    --exclusions-subject1-id Subject1 \
    --exclusions-subject2-id Subject2 \
    --subjects subjects.xlsx \
    --availabilities availabilities.xlsx \
    --exclusions exclusions.xlsx \
    --to spreadsheet output.xlsx

This will result in the following output.xlsx, containing all new matches:

subject1 subject2 slot
sub001 sub002 2023-01-01 15:30

Using the Python API

With python, it is possible to integrate swapanything in your application or custom tool. swapanything comes with some pre-configured data backends (e.g. Airtable, Excel Spreadsheets, SQL) that you can easily use to kickstart your swaping-based app!

from swapanything.backend import airtable as be
from swapanything import Scorer, Selector, Swapper
import os


data_backend = be.AirTableBackend(
    # subject_id is the record id of the subjects table
    subject_features=["Interests", "Tags", "Score1", "Score2"],
    availability_subject_column="AvailabilitiesSubjectId",
    availabilities_column="Availabilities",
    exclusions_subject_columns=["Subject1", "Subject2"]
    # Tables
    subjects_table_name="Subjects",
    availabilities_table_name="Availabilities",
    exclusions_table_name="Matches",
    # Airtable credentials
    client_id=os.environ["AIRTABLE_BASE_ID"],
    client_secret=os.environ["AIRTABLE_API_KEY"],
)

match_scorer = Scorer(model="simple")
selector = Selector(relevance_weight=.5, total_number_weight=.5)
model = Swapper(scorer=match_scorer, selector=selector)

exclusions = data_backend.get_exclusions()
all_possible_matches = data_backend.get_matches(exclusions=exclusions)
subjects = data_backend.get_subjects()

match_scores = model.score(all_possible_matches, subjects)
matches = model.select(match_scores)

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