This is a simple python script that can convert two CSV tables to a GedcomX json file.

Basic usage

Example:

# put result in new file named output.json
main.py persons.csv families.csv --output output.json
# print result to stdout
main.py persons.csv families.csv
# only include relatives of the person with id 42
main.py person.csv families.csv --id 42

Replace the file names with your own. When you specify an id, only the following people will be included in the output:

• descendants and ancestors
• partners and siblings
• descendants of siblings

Structure of the CSV files

Person table

id	title	surname	middle_name	born	married	nickname	aka	full_name	gender	child_of	birth_date	birth_place	death_date	death_place	death_cause	occupation	religion	notes
0								unknown	Unknown									reserved
1	Prof.	John		Doe		Jonny		John Doe	Male		+1919-01-09	Dirmingcan	+2010-10-10	Brolin		professional describer	flying spaghetti monster	cause of death missing
2		Miriam	Alex	Smith	Doe			Miriam Doe	Female		+1902-02-02	Ohoho	+2003-03-03	Brolin	heart attack	example giver
3				Doe				Kim Doe	Intersex	0	+2001-02-01T06-08-02	Brolin

Notes:

• The ID 0 is reserved️ for the unknown person. It can be used in families with unknown partners. Anything specified for that ID will be ignored.
• IDs can be any string (except for 0). They are directly used in the resulting GedcomX file
• full_name is the name the person normally is called
• gender can be Male, Female, Unknown or Intersex
• dates are formatted as specified here
• child_of specifies the family id that this person is a child of. It must be included in the family table
• notes are seperated by semicolon

Family table

id	partner1	partner2	date	place	notes
0	1	0	+1940-04	Brolin	family of Kim
1	2	0	+1920		since partner2 is 0, a new person will be generated

• ID can be any string, 0 is not reserved
• partner1 and partner2 are IDs of persons specified in the person table
• date is the date of the marriage, place is the place of the marriage
• notes are seperated by semicolon