Validate extracted data against a schema definition (list format).

Checks if the structure, types, and required fields of the extracted data conform to the rules defined in the schema list (parsed from YAML).

Usage

.validate_extracted_data(extracted_data, schema)

Arguments

extracted_data

The list/data frame structure returned by ellmer::extract_data.

schema

The schema definition as an R list, typically loaded from YAML using a function like get_schema.

Value

A list of validation error messages. An empty list indicates successful validation. Each error message includes the path to the problematic node.

Examples

if (FALSE) { # \dontrun{
# Assume schema_list is loaded from YAML using get_schema()
# Assume llm_output is the result from chat$extract_data(..., type = ellmer_schema)

schema_definition <- get_schema(".") # Or path to your schema YAML
# llm_output <- chat$extract_data(...) # Run your extraction

validation_errors <- validate_extracted_data(llm_output, schema_definition)

if (length(validation_errors) == 0) {
  print("Validation successful!")
} else {
  print("Validation failed with the following errors:")
  purrr::walk(validation_errors, print) # Requires purrr package
  # Or use base R:
  # invisible(lapply(validation_errors, print))
}
} # }