# Part 8: Generating Projects In previous parts of this tutorial, we have covered - how to generate JSON-Schema, for use in JSON validation - how to generate Python classes, for use in code - how to generate ShEx and JSON-LD contexts, for use with RDF data Later on we will explore generation of other downstream artefacts like SQL CREATE TABLE statements and markdown documentation. Even though you don't necessarily need all of these output artefacts, it can be useful to regularly generate these whenever you change your schema. The `gen-project` script will do this for you. ## Example Given a schema: personinfo.yaml: ```yaml id: https://w3id.org/linkml/examples/personinfo name: personinfo prefixes: linkml: https://w3id.org/linkml/ schema: http://schema.org/ personinfo: https://w3id.org/linkml/examples/personinfo/ ORCID: https://orcid.org/ imports: - linkml:types default_range: string classes: Person: class_uri: schema:Person slots: ## specified as a list - id - full_name - aliases - phone - age id_prefixes: - ORCID Container: attributes: persons: multivalued: true inlined_as_list: true range: Person # slots are first-class entities in the metamodel # declaring them here allows them to be reused elsewhere slots: id: identifier: true full_name: required: true description: name of the person slot_uri: schema:name aliases: multivalued: true description: other names for the person phone: pattern: "^[\\d\\(\\)\\-]+$" slot_uri: schema:telephone age: range: integer minimum_value: 0 maximum_value: 200 ``` The JSON-Schema that is generated should be the same as in the previous example: ```bash gen-project -d personinfo/ personinfo.yaml ``` This will place all artefacts in the `personinfo` dir: ```bash ls personinfo/ ``` Outputs: ```text docs excel graphql java jsonld jsonschema owl personinfo.py prefixmap protobuf shacl shex sqlschema ``` ## See Also ### GitHub Guides We recommend maintaining your source for your schema, plus all generated products in GitHub Some resources to help you: * [software carpentry guide](https://swcarpentry.github.io/git-novice/) * We have created a [slide deck on GitHub](https://docs.google.com/presentation/u/0/d/1ydkB8y3cPYcDZYCT9DcENQk6gwWr0xR6/) for LinkML users ### ProjectGen docs * [project-generator](/generators/project-generator) ### linkml-model-template The [linkml/linkml-model-template](https://github.com/linkml/linkml-model-template) utility will allow you to set up a whole GitHub repository, with a Makefile that can be used to regenerate all downstream products. However, note that this uses an older version of the templates. ### Registering your schema Once you have authored a schema, generated a full project, and are managing everything in GitHub, you may want to consider registering your schema. To do this, make a GitHub Pull Request (PR) on the main [linkml-registry](https://linkml.io/linkml-registry/home/) metadata file, which is here: [https://github.com/linkml/linkml-registry/blob/main/models.yaml](https://github.com/linkml/linkml-registry/blob/main/models.yaml)