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/*
* OpenAI API
*
* The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details.
*
* The version of the OpenAPI document: 2.3.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::models;
use serde::{Deserialize, Serialize};
/// EvalCustomDataSourceConfig : A CustomDataSourceConfig which specifies the schema of your `item` and optionally `sample` namespaces. The response schema defines the shape of the data that will be: - Used to define your testing criteria and - What data is required when creating a run
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize, bon::Builder)]
pub struct EvalCustomDataSourceConfig {
/// The type of data source. Always `custom`.
#[serde(rename = "type")]
pub r#type: Type,
/// The json schema for the run data source items. Learn how to build JSON schemas [here](https://json-schema.org/).
#[serde(rename = "schema")]
pub schema: std::collections::HashMap<String, serde_json::Value>,
}
impl EvalCustomDataSourceConfig {
/// A CustomDataSourceConfig which specifies the schema of your `item` and optionally `sample` namespaces. The response schema defines the shape of the data that will be: - Used to define your testing criteria and - What data is required when creating a run
pub fn new(
r#type: Type,
schema: std::collections::HashMap<String, serde_json::Value>,
) -> EvalCustomDataSourceConfig {
EvalCustomDataSourceConfig { r#type, schema }
}
}
/// The type of data source. Always `custom`.
#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
pub enum Type {
#[serde(rename = "custom")]
Custom,
}
impl Default for Type {
fn default() -> Type {
Self::Custom
}
}
impl std::fmt::Display for EvalCustomDataSourceConfig {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match serde_json::to_string(self) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
}
}
}