agentic-studio/network-poc/native-node/src/inference.rs

use std::time::Instant;
use std::cell::RefCell;

pub struct LlmEngine {
    ollama_url: String,
    model: RefCell<String>,
    client: reqwest::Client,
}

impl LlmEngine {
    pub async fn load() -> Result<Self, String> {
        let model = std::env::var("OLLAMA_MODEL").unwrap_or_else(|_| "qwen2.5-coder:7b".to_string());

        let client = reqwest::Client::builder()
            .timeout(std::time::Duration::from_secs(600))
            .connect_timeout(std::time::Duration::from_secs(3))
            .build()
            .map_err(|e| format!("HTTP client: {}", e))?;

        // Jos OLLAMA_URL on asetettu, käytetään sitä suoraan
        let ollama_url = if let Ok(url) = std::env::var("OLLAMA_URL") {
            tracing::info!("Ollama backend (env): {}", url);
            url
        } else {
            // Haistellaan Ollamaa tunnetuista osoitteista
            let candidates = [
                "http://localhost:11434",
                "http://127.0.0.1:11434",
                "http://ollama:11434",
                "http://host.docker.internal:11434",
            ];
            let mut found = None;
            for url in &candidates {
                let probe = reqwest::Client::builder()
                    .connect_timeout(std::time::Duration::from_secs(2))
                    .build().unwrap_or(client.clone());
                if let Ok(resp) = probe.get(format!("{}/api/version", url)).send().await {
                    if resp.status().is_success() {
                        tracing::info!("Ollama löytyi osoitteesta: {}", url);
                        found = Some(url.to_string());
                        break;
                    }
                }
            }
            found.unwrap_or_else(|| {
                tracing::warn!("Ollamaa ei löytynyt — käytetään oletusta http://localhost:11434");
                "http://localhost:11434".to_string()
            })
        };

        tracing::info!("Ollama backend: {} | malli: {}", ollama_url, model);
        Ok(LlmEngine { ollama_url, model: RefCell::new(model), client })
    }

    pub fn model_name(&self) -> String {
        self.model.borrow().clone()
    }

    pub fn set_model(&self, new_model: String) {
        *self.model.borrow_mut() = new_model;
    }

    /// Varmistaa että malli on ladattu Ollamaan (ollama pull)
    pub async fn ensure_model(&self) -> Result<(), String> {
        let model = self.model.borrow().clone();
        tracing::info!("Tarkistetaan malli {}...", model);
        let resp = self.client.post(format!("{}/api/pull", self.ollama_url))
            .json(&serde_json::json!({ "name": model, "stream": false }))
            .send()
            .await
            .map_err(|e| format!("Ollama pull: {}", e))?;

        if resp.status().is_success() {
            tracing::info!("Malli {} valmis", model);
            Ok(())
        } else {
            Err(format!("Ollama pull epäonnistui: {}", resp.status()))
        }
    }

    pub async fn generate(&self, prompt: &str, max_tokens: usize) -> Result<GenerateResult, String> {
        let system = "You are a coding assistant. Respond with ONLY code. Use proper newlines and indentation. No explanations, no markdown fences, no comments unless asked.";
        let model = self.model.borrow().clone();

        let start = Instant::now();
        let resp = self.client.post(format!("{}/api/generate", self.ollama_url))
            .json(&serde_json::json!({
                "model": model,
                "prompt": prompt,
                "system": system,
                "stream": false,
                "options": {
                    "num_predict": max_tokens,
                    "temperature": 0.7,
                    "top_k": 40,
                    "repeat_penalty": 1.15,
                    "stop": ["<|im_end|>", "\n###", "\nExplanation", "\nNote:"]
                }
            }))
            .send()
            .await
            .map_err(|e| format!("Ollama generate: {}", e))?;

        if !resp.status().is_success() {
            return Err(format!("Ollama HTTP {}", resp.status()));
        }

        let body: serde_json::Value = resp.json().await
            .map_err(|e| format!("Ollama JSON: {}", e))?;

        let text = body["response"].as_str().unwrap_or("").to_string();
        let total_duration_ns = body["total_duration"].as_u64().unwrap_or(0);
        let eval_count = body["eval_count"].as_u64().unwrap_or(0) as usize;
        let eval_duration_ns = body["eval_duration"].as_u64().unwrap_or(1);

        let duration_ms = start.elapsed().as_millis() as f64;
        let tokens_per_sec = if eval_duration_ns > 0 {
            eval_count as f64 / (eval_duration_ns as f64 / 1_000_000_000.0)
        } else { 0.0 };

        Ok(GenerateResult {
            text: strip_code_fences(&text),
            tokens_generated: eval_count,
            duration_ms,
            tokens_per_sec,
        })
    }
}

/// Siivoa mahdolliset markdown-koodiblokki-merkit
fn strip_code_fences(text: &str) -> String {
    let mut result = text.trim().to_string();

    // Poista aloittava ```lang
    if result.starts_with("```") {
        if let Some(nl) = result.find('\n') {
            result = result[nl + 1..].to_string();
        }
    }

    // Poista sulkeva ```
    let trimmed = result.trim_end();
    if trimmed.ends_with("```") {
        let before = &trimmed[..trimmed.len() - 3];
        if before.is_empty() || before.ends_with('\n') {
            result = before.trim_end().to_string();
        }
    }

    result
}

pub struct GenerateResult {
    pub text: String,
    pub tokens_generated: usize,
    pub duration_ms: f64,
    pub tokens_per_sec: f64,
}