The article provides an example of how to use Jaiqu, including validating an input JSON against a schema and creating a repeatable jq query for extracting data from identically formatted input JSONs. It also provides information on how to install Jaiqu, its architecture, how to run tests, and how to contribute to its development. Jaiqu is released under the MIT License.
Key takeaways:
- Jaiqu is an AI agent that can create repeatable JSON transforms using jq query language syntax. It can translate any arbitrary JSON inputs into any desired schema.
- It has features such as translating any schema to any schema, schema validation, and fuzzy term matching. These features allow it to automatically map data from a source schema to a desired format and validate whether the required data is present in the input json.
- The usage of Jaiqu involves importing validate_schema and translate_schema from jaiqu, providing the desired data format schema, the input json, and optionally creating hints for the agent. The agent can then validate the input json and create a repeatable jq query for extracting data from identically formatted input JSONs.
- Jaiqu is open-source and contributions are welcome. It is released under the MIT License.