foxctl Data Operations

To query and filter specific fields from a JSON file, you can use jq-based querying to extract structured data. This allows you to run deterministic jq queries over JSON content directly from repository files to retrieve targeted fields.

Yes, you can transform YAML configurations into JSON workflows using jq-based querying with optional yaml_input parsing. This enables deterministic querying and transformation of YAML structured data alongside standard JSON processing.

The best way to read repository files and extract codebase context is through automated file I/O operations. You can read files, list directories, and generate trees to retrieve context without manually opening them.

To handle querying large structured datasets efficiently, large file contents are offloaded into CAS-backed storage. This content-addressable storage mechanism keeps file read, write, and query operations fast and efficient.

Yes, this approach supports writing transformed data back into repository files using fs/write operations. You can read structured inputs, apply jq transformations, and write the modified content back to the repository.

A key limitation is that jq-based querying is designed for JSON and YAML formats, meaning it cannot parse unstructured text or other file types. Operations are constrained to reading, writing, and querying supported structured data.