//! LLM integration using stratum-llm

use stratum_llm::{
    AnthropicProvider, ConfiguredProvider, CredentialSource, GenerationOptions, Message,
    ProviderChain, Role, UnifiedClient,
};
use tracing::info;

use crate::error::Result;

pub struct LlmClient {
    client: UnifiedClient,
    pub model: String,
}

impl LlmClient {
    pub fn new(model: String) -> Result<Self> {
        let api_key = std::env::var("ANTHROPIC_API_KEY").ok();

        if api_key.is_none() {
            tracing::warn!("ANTHROPIC_API_KEY not set - LLM calls will fail");
        }

        let provider =
            AnthropicProvider::new(api_key.unwrap_or_default(), model.clone());

        let configured = ConfiguredProvider {
            provider: Box::new(provider),
            credential_source: CredentialSource::EnvVar {
                name: "ANTHROPIC_API_KEY".to_string(),
            },
            priority: 0,
        };

        let chain = ProviderChain::with_providers(vec![configured]);

        let client = UnifiedClient::builder()
            .with_chain(chain)
            .build()
            .map_err(|e| {
                crate::error::RagError::LlmError(format!("Failed to build LLM client: {}", e))
            })?;

        info!("Initialized stratum-llm client: {}", model);

        Ok(Self { client, model })
    }

    pub async fn generate_answer(&self, query: &str, context: &str) -> Result<String> {
        let system_prompt = format!(
            r#"You are a helpful assistant answering questions about a provisioning platform.
You have been provided with relevant documentation context below.
Answer the user's question based on this context.
Be concise and accurate.

# Retrieved Context
{}
"#,
            context
        );

        let messages = vec![
            Message {
                role: Role::System,
                content: system_prompt,
            },
            Message {
                role: Role::User,
                content: query.to_string(),
            },
        ];

        let options = GenerationOptions {
            max_tokens: Some(1024),
            ..Default::default()
        };

        let response = self
            .client
            .generate(&messages, Some(&options))
            .await
            .map_err(|e| {
                crate::error::RagError::LlmError(format!("LLM generation failed: {}", e))
            })?;

        info!("Generated answer: {} characters", response.content.len());
        Ok(response.content)
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_llm_client_creation() {
        let client = LlmClient::new("claude-opus-4".to_string());
        assert!(client.is_ok());
    }

    #[test]
    fn test_llm_client_model() {
        let client = LlmClient::new("claude-sonnet-4".to_string());
        assert!(client.is_ok());
        assert_eq!(client.unwrap().model, "claude-sonnet-4");
    }
}