use crate::models::registry::ModelRegistry;
use anyhow::Result;
use tracing::info;

const MODELS_DEV_URL: &str = "https://models.dev/api.json";

pub async fn fetch_registry() -> Result<ModelRegistry> {
    info!("Fetching model registry from {}", MODELS_DEV_URL);

    let client = reqwest::Client::builder()
        .timeout(std::time::Duration::from_secs(10))
        .build()?;

    let response = client.get(MODELS_DEV_URL).send().await?;

    if !response.status().is_success() {
        return Err(anyhow::anyhow!("Failed to fetch registry: HTTP {}", response.status()));
    }

    let registry: ModelRegistry = response.json().await?;
    info!("Successfully loaded model registry");

    Ok(registry)
}

/// Heuristic: decide whether a model should be routed to OpenAI Responses API
/// instead of the legacy chat/completions endpoint.
///
/// Currently this uses simple patterns (codex, gpt-5 series) and also checks
/// the loaded registry metadata name for the substring "codex" as a hint.
pub fn model_prefers_responses(registry: &ModelRegistry, model: &str) -> bool {
    let model_lc = model.to_lowercase();

    if model_lc.contains("codex") {
        return true;
    }

    if model_lc.starts_with("gpt-5") || model_lc.contains("gpt-5.") {
        return true;
    }

    if let Some(meta) = registry.find_model(model) {
        if meta.name.to_lowercase().contains("codex") {
            return true;
        }
    }

    false
}