use std::env;
use ai_chain::{executor, parameters};
use ai_chain::step::Step;
use ai_chain::traits::Executor as ExecutorTrait;
use ai_chain::{chains::sequential::Chain, prompt};
use ai_chain_qwen::chatgpt::Executor;

#[tokio::main(flavor = "current_thread")]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Create a new ChatGPT executor with the default settings
    env::set_var("OPENAI_API_KEY", "sk-16519115bd424029ad9477a612bf5a9d");
    // env::set_var("OPENAI_API_BASE_URL", "https://api.moonshot.cn/v1");
    // let mut builder = Options::builder();
    // builder.add_option(Opt::Model(ModelRef::from_model_name("moonshot-v1-32k")));
    // let option = builder.build();

    let exec = executor!(qwen)?;

    // Create a chain of steps with two prompts
    let chain: Chain = Chain::new(vec![
        // First step: make a personalized birthday email
        Step::for_prompt_template(
            prompt!("You are a bot for making personalized greetings", "Make personalized birthday e-mail to the whole company for {{name}} who has their birthday on {{date}}. Include their name")
        ),

        // Second step: summarize the email into a tweet. Importantly, the text parameter becomes the result of the previous prompt.
        Step::for_prompt_template(
            prompt!( "You are an assistant for managing social media accounts for a company", "Summarize this email into a tweet to be sent by the company, use emoji if you can. \n--\n{{text}}")
        )
    ]);

    // Run the chain with the provided parameters
    let res = chain
        .run(
            // Create a Parameters object with key-value pairs for the placeholders
            parameters!("name" => "Emil", "date" => "February 30th 2023"),
            &exec,
        )
        .await
        .unwrap();

    // Print the result to the console
    println!("{:}", res);
    Ok(())
}