extern crate instruct_macros;
extern crate instruct_macros_types;

use instruct_macros::InstructMacro;
use instruct_macros_types::{Parameter, ParameterInfo, StructInfo};
use instructor_ai::from_openai;
use openai_api_rs::v1::api::Client;

#[cfg(test)]
mod tests {
    use std::env;

    use openai_api_rs::v1::{
        chat_completion::{self, ChatCompletionRequest},
        common::GPT3_5_TURBO,
    };
    use serde::{Deserialize, Serialize};

    use super::*;

    #[test]
    fn test_from_openai() {
        let client = Client::new(env::var("OPENAI_API_KEY").unwrap().to_string());
        let instructor_client = from_openai(client);

        #[derive(InstructMacro, Debug, Serialize, Deserialize)]
        // This represents a single user
        struct UserInfo {
            // This represents the name of the user
            name: String,
            // This represents the age of the user
            age: u8,
        }

        let req = ChatCompletionRequest::new(
            GPT3_5_TURBO.to_string(),
            vec![chat_completion::ChatCompletionMessage {
                role: chat_completion::MessageRole::user,
                content: chat_completion::Content::Text(String::from(
                    "John Doe is a 30 year old software engineer",
                )),
                name: None,
            }],
        );

        let result = instructor_client
            .chat_completion::<UserInfo>(req, 3)
            .unwrap();
        assert_eq!(result.age, 30);
        assert_eq!(result.name, "John Doe");
    }
}