``` Usage: cat file.csv | ./import [options] type Description: Create or update data from a CSV formatted file using the /api/v1 API, requires webapp version 2.6.2 or later. Returns errors and is silent on success. You must specify the document type as a parameter. Each type has its own contraints and required columns. Currently supported types: users people places-level-0 places-level-1 places-level-2 places-level-3 places-update records The column names in your source data are mapped directly to property names on the JSON POST body or can be mapped to different strings with the `-c` option. To understand more about the special meanings of property names see the project-templates or the medic-api documentation. Column names that begin with `place.` or `contact.` are handled specially. This allows you to specify custom properties on the contact or place objects that are associated with the data. For example if you define a column labeled `place.supervisor`, then the values in those cells are set on the `supervisor` property of the place object during user creation. Options: -h This help information -w Wait between requests (ms). Default 500 -d Dry run, only prints request body. -p Set the `place` UUID value on the command line rather than in the input data. This can be convenient if all the rows in your data are associated with the same place. -c Comma separated list of columns to import. Also supports a colon separator to map the spreadsheet column name to the obj property name. If not specified attempts to import all columns. Examples: Import only the 'uuid' and 'name' columns: -c uuid,name Map the 'ID' column name to the 'uuid' property name on the object. -c ID:uuid,Village:contact_name Environment Variables: COUCH_URL Specifies the URL of the project. Examples: export COUCH_URL=https://admin:secret@project.app.medicmobile.org Usage Examples: Users import dry run: cat 'Group 2 Tula.csv' | ./import users -d Users import dry run with a place (district/branch) identifier: cat 'Group 2 Tula.csv' | \ ./import users -d 8fe84af17cb7ac863a92e884e50440c3 Users import: cat 'Group 2 Tula.csv' | \ ./import users 8fe84af17cb7ac863a92e884e50440c3 Use head command to only create first record: head -2 'Group 2 Tula.csv' | \ ./import users 8fe84af17cb7ac863a92e884e50440c3 Import people: cat 'Supervisors.csv' | \ ./import people 8fe84af17cb7ac863a92e884e50440c3 Import people and ignore the concession and gender columns: cat 'Supervisors.csv' | \ ./import people -i concession,gender 8fe84af17cb7ac863a92e884e50440c3 ```