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JSON Schemas primarily supplement /wiki/spaces/DOCS/pages/2667708522; you should understand annotations in Synapse before using JSON Schemas. This document also assumes you are comfortable with using the Synapse Python Client.
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JSON Schemas are an experimental feature in Synapse. Functionality in the web UI and programmatic clients is currently limited, but we have plans to improve support for managing organizations, schemas, and annotations in the near future. |
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Any object that has this schema will have the following derived annotations:
Annotation Key | Value |
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derivedFromConst | Derived Constant Value |
derivedFromDefault | Derived Default Value |
Conditionally Derived Annotations
JSON Schemas can also be written to conditionally apply annotations. For example, consider the following JSON Schema:
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{ "type": "object", "properties": { "country": { "type": "string", "enum": ["United States", "Canada"] }, "if": { "properties": { "country": { "const": "United States" } }, "required": ["country"] }, "then": { "properties": { "measurementSystem": { "const": "Imperial" } } }, "else": { "properties": { "measurementSystem": { "const": "Metric" } } } } } |
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