flyllm 0.1.1

use crate::providers::{LlmProvider, LlmRequest, Message, TokenUsage};
use crate::errors::LlmResult;
use crate::errors::LlmError;
use crate::load_balancer::instances::{LlmInstance, InstanceMetrics};
use crate::load_balancer::strategies;
use crate::load_balancer::strategies::LoadBalancingStrategy;
use crate::load_balancer::tasks::TaskDefinition;
use crate::{constants, create_provider, ProviderType};
use std::time::Instant;
use std::collections::HashMap;
use std::sync::{Arc, Mutex};
use futures::future::join_all;
use log::{debug, info, warn}; 

/// User-facing request for LLM generation
#[derive(Clone)]
pub struct GenerationRequest {
    pub prompt: String,
    pub task: Option<String>,
    pub params: Option<HashMap<String, serde_json::Value>>,
}

/// Internal request structure with additional retry information
#[derive(Clone)]
struct LlmManagerRequest {
    pub prompt: String,
    pub task: Option<String>,
    pub params: Option<HashMap<String, serde_json::Value>>,
    pub attempts: usize,
    pub failed_instances: Vec<usize>
}

impl LlmManagerRequest {
    /// Convert a user-facing GenerationRequest to internal format
    fn from_generation_request(request: GenerationRequest) -> Self {
        Self {
            prompt: request.prompt,
            task: request.task,
            params: request.params,
            attempts: 0,
            failed_instances: Vec::new(),
        }
    }
}

/// Response structure returned to users
pub struct LlmManagerResponse {
    pub content: String,
    pub success: bool,
    pub error: Option<String>,
}

/// Main manager for LLM providers that handles load balancing and retries
///
/// The LlmManager:
/// - Manages multiple LLM instances (providers)
/// - Maps tasks to compatible providers
/// - Routes requests to appropriate providers
/// - Implements retries and fallbacks
/// - Tracks performance metrics and token usage
pub struct LlmManager {
    instances: Arc<Mutex<Vec<LlmInstance>>>,
    strategy: Arc<Mutex<Box<dyn LoadBalancingStrategy + Send + Sync>>>,
    tasks_to_instances: Arc<Mutex<HashMap<String, Vec<usize>>>>,
    instance_counter: Mutex<usize>,
    max_retries: usize,
    total_usage: Mutex<HashMap<usize, TokenUsage>>
}

impl LlmManager {
    /// Create a new LlmManager with default settings
    pub fn new() -> Self {
        Self {
            instances: Arc::new(Mutex::new(Vec::new())),
            strategy: Arc::new(Mutex::new(Box::new(strategies::LeastRecentlyUsedStrategy::new()))),
            tasks_to_instances: Arc::new(Mutex::new(HashMap::new())),
            instance_counter: Mutex::new(0),
            max_retries: constants::DEFAULT_MAX_TRIES,
            total_usage: Mutex::new(HashMap::new()),
        }
    }

    /// Create a new LlmManager with a custom load balancing strategy
    ///
    /// # Parameters
    /// * `strategy` - The load balancing strategy to use
    pub fn new_with_strategy(strategy: Box<dyn LoadBalancingStrategy + Send + Sync>) -> Self {
        Self {
            instances: Arc::new(Mutex::new(Vec::new())),
            strategy: Arc::new(Mutex::new(strategy)),
            tasks_to_instances: Arc::new(Mutex::new(HashMap::new())),
            instance_counter: Mutex::new(0),
            max_retries: constants::DEFAULT_MAX_TRIES,
            total_usage: Mutex::new(HashMap::new()),
        }
    }

    /// Add a new provider by creating it from basic parameters
    ///
    /// # Parameters
    /// * `provider_type` - Which LLM provider type to create
    /// * `api_key` - API key for the provider
    /// * `model` - Model identifier to use
    /// * `tasks` - List of tasks this provider supports
    /// * `enabled` - Whether this provider should be enabled
    pub fn add_provider(&mut self, provider_type: ProviderType, api_key: String, model: String, tasks: Vec<TaskDefinition>, enabled: bool){
        debug!("Creating provider with model {}", model);
        let provider = create_provider(provider_type, api_key, model, tasks, enabled);
        self.add_instance(provider);
    }

    /// Add a pre-created provider instance
    ///
    /// # Parameters
    /// * `provider` - The provider instance to add
    pub fn add_instance(&mut self, provider: Arc<dyn LlmProvider + Send + Sync>) {
        let id = { 
            let mut counter = self.instance_counter.lock().unwrap();
            let id = *counter;
            *counter += 1;
            id
        };

        let new_instance = LlmInstance::new(id, provider.clone()); 
        debug!("Adding instance {} ({})", id, provider.get_name());

        {
            let supported_tasks = provider.get_supported_tasks();
            let mut task_map = self.tasks_to_instances.lock().unwrap();
            for task_name in supported_tasks.keys() {
                task_map.entry(task_name.clone())
                    .or_insert_with(Vec::new)
                    .push(id);
                debug!("Added instance {} to task mapping for '{}'", id, task_name);
            }
        }

        {
            let mut instances = self.instances.lock().unwrap();
            instances.push(new_instance);
        }

        {
            let mut usage_map = self.total_usage.lock().unwrap();
            usage_map.insert(id, TokenUsage {
                prompt_tokens: 0,
                completion_tokens: 0,
                total_tokens: 0,
            });
        }
    }

    /// Set a new load balancing strategy
    ///
    /// # Parameters
    /// * `strategy` - The new load balancing strategy to use
    pub fn set_strategy(&mut self, strategy: Box<dyn LoadBalancingStrategy + Send + Sync>) {
        let mut current_strategy = self.strategy.lock().unwrap();
        *current_strategy = strategy;
    }

    /// Process multiple requests sequentially
    ///
    /// # Parameters
    /// * `requests` - List of generation requests to process
    ///
    /// # Returns
    /// * List of responses in the same order as the requests
    pub async fn generate_sequentially(&self, requests: Vec<GenerationRequest>) -> Vec<LlmManagerResponse> {
        let mut responses = Vec::with_capacity(requests.len());
        info!("Entering generate_sequentially with {} requests", requests.len()); 

        for (index, request) in requests.into_iter().enumerate() { 
            info!("Starting sequential request index: {}", index); 
            let internal_request = LlmManagerRequest::from_generation_request(request);

            let response_result = self.generate_response(internal_request, None).await;
            info!("Sequential request index {} completed generate_response call.", index); 

            let response = match response_result {
                Ok(content) => {
                    info!("Sequential request index {} succeeded.", index); 
                    LlmManagerResponse {
                        content,
                        success: true,
                        error: None,
                    }
                },
                Err(e) => {
                    warn!("Sequential request index {} failed: {}", index, e); 
                    LlmManagerResponse {
                        content: String::new(),
                        success: false,
                        error: Some(e.to_string()),
                    }
                },
            };

            debug!("Pushing response for sequential request index {}", index); 
            responses.push(response);
            info!("Finished processing sequential request index {}", index); 
        }

        info!("Exiting generate_sequentially"); 
        responses
    }

    /// Process multiple requests in parallel
    ///
    /// # Parameters
    /// * `requests` - List of generation requests to process
    ///
    /// # Returns
    /// * List of responses in the same order as the requests
    pub async fn batch_generate(&self, requests: Vec<GenerationRequest>) -> Vec<LlmManagerResponse> {
        info!("Entering batch_generate with {} requests", requests.len()); 
        let internal_requests = requests.into_iter()
            .map(|request| LlmManagerRequest::from_generation_request(request))
            .collect::<Vec<_>>();

        let futures = internal_requests.into_iter().enumerate().map(|(index, request)| { 
            async move {
                info!("Starting parallel request index: {}", index); 
                match self.generate_response(request, None).await {
                    Ok(content) => {
                         info!("Parallel request index {} succeeded.", index); 
                        LlmManagerResponse {
                            content,
                            success: true,
                            error: None,
                        }
                    },
                    Err(e) => {
                        warn!("Parallel request index {} failed: {}", index, e); 
                        LlmManagerResponse {
                            content: String::new(),
                            success: false,
                            error: Some(e.to_string()),
                        }
                    },
                }
            }
        }).collect::<Vec<_>>();

        let results = join_all(futures).await;
        info!("Exiting batch_generate"); 
        results
    }

    /// Core function to generate a response with retries
    ///
    /// # Parameters
    /// * `request` - The internal request with retry state
    /// * `max_attempts` - Optional override for maximum retry attempts
    ///
    /// # Returns
    /// * Result with either the generated content or an error
    async fn generate_response(&self, request: LlmManagerRequest, max_attempts: Option<usize>) -> LlmResult<String> {
        let start_time = Instant::now();
        let mut attempts = request.attempts;
        let mut failed_instances = request.failed_instances.clone();
        let prompt_preview = request.prompt.chars().take(50).collect::<String>(); 
        let task = request.task.as_deref();
        let request_params = request.params.clone();
        let max_retries = max_attempts.unwrap_or(self.max_retries);

        info!("generate_response called for task: {:?}, prompt: '{}...'", task, prompt_preview); 

        while attempts <= max_retries {
            debug!("Attempt {} of {} for request (task: {:?})", attempts + 1, max_retries + 1, task); 

            let attempt_result = self.instance_selection(&request.prompt, task, request_params.clone(), &failed_instances).await;

            match attempt_result {
                Ok((content, instance_id)) => {
                    let duration = start_time.elapsed();
                    info!("Request successful on attempt {} with instance {} after {:?}", attempts + 1, instance_id, duration); 
                    debug!("generate_response returning Ok for task: {:?}", task); 
                    return Ok(content);
                },
                Err((error, instance_id)) => {
                    warn!("Attempt {} failed with instance {}: {}", attempts + 1, instance_id, error);
                    failed_instances.push(instance_id);
                    attempts += 1;

                    if attempts > max_retries {
                         warn!("Max retries ({}) reached for task: {:?}. Returning last error.", max_retries + 1, task); 
                         debug!("generate_response returning Err for task: {:?}", task); 
                        return Err(error);
                    }

                    debug!("Retrying with next eligible instance for task: {:?}...", task);
                }
            }
        }

        warn!("Exited retry loop unexpectedly for task: {:?}", task); 
        Err(LlmError::ConfigError("No available providers after all retry attempts".to_string()))
    }

    /// Select an appropriate instance and execute the request
    ///
    /// This function:
    /// 1. Identifies instances that support the requested task
    /// 2. Filters out failed and disabled instances
    /// 3. Uses the load balancing strategy to select an instance
    /// 4. Merges task and request parameters
    /// 5. Executes the request against the selected provider
    /// 6. Updates metrics based on the result
    ///
    /// # Parameters
    /// * `prompt` - The prompt text to send
    /// * `task` - Optional task identifier
    /// * `request_params` - Optional request parameters
    /// * `failed_instances` - List of instance IDs that have failed
    ///
    /// # Returns
    /// * Success: (generated content, instance ID)
    /// * Error: (error, instance ID that failed)
    async fn instance_selection(&self,
                              prompt: &str,
                              task: Option<&str>,
                              request_params: Option<HashMap<String, serde_json::Value>>,
                              failed_instances: &[usize]) -> Result<(String, usize), (LlmError, usize)> {

        debug!("instance_selection: Starting selection for task: {:?}", task); 

        // 1. Get candidate instance IDs based on task (if any)
        let candidate_ids: Option<Vec<usize>> = match task {
            Some(task_name) => {
                let task_map = self.tasks_to_instances.lock().unwrap();
                task_map.get(task_name).cloned()
            }
            None => None, // No specific task, consider all instances initially
        };

        if task.is_some() && candidate_ids.is_none() {
            warn!("No instances found supporting task: '{}'", task.unwrap());
            // Return a dummy instance ID of 0 since we don't have a specific instance to blame
            debug!("instance_selection returning Err (no task support)"); 
            return Err((LlmError::ConfigError(format!("No providers available for task: {}", task.unwrap())), 0));
        }

        // 2. Filter candidates by availability and collect references + metrics
        let eligible_instances_data: Vec<&LlmInstance>;
        let instances_guard = self.instances.lock().unwrap(); // Lock acquired here
        debug!("instance_selection: Acquired instances lock (1st time)"); 

        if instances_guard.is_empty() {
            warn!("No LLM providers configured.");
            drop(instances_guard); // Release lock before returning
             debug!("instance_selection returning Err (no providers configured)"); 
            return Err((LlmError::ConfigError("No LLM providers available".to_string()), 0));
        }

        match candidate_ids {
            Some(ids) => {
                debug!("Filtering instances for task '{}' using IDs: {:?}", task.unwrap(), ids);
                eligible_instances_data = instances_guard.iter()
                    .filter(|inst| ids.contains(&inst.id) && inst.is_enabled() && !failed_instances.contains(&inst.id))
                    .collect();
                debug!("Found {} eligible instances for task '{}'", eligible_instances_data.len(), task.unwrap());
            }
            None => {
                debug!("No specific task. Filtering all enabled instances.");
                eligible_instances_data = instances_guard.iter()
                    .filter(|inst| inst.is_enabled() && !failed_instances.contains(&inst.id))
                    .collect();
                debug!("Found {} eligible instances (no task)", eligible_instances_data.len());
            }
        }

        // 3. Check if any eligible instances remain
        if eligible_instances_data.is_empty() {
            let error_msg = format!("No enabled providers available{}{}",
                task.map_or_else(|| "".to_string(), |t| format!(" for task: '{}'", t)),
                if !failed_instances.is_empty() { format!(" (excluded {} failed instances)", failed_instances.len()) } else { "".to_string() }
            );
            warn!("{}", error_msg);
            drop(instances_guard); // Release lock before returning
            debug!("instance_selection returning Err (no eligible instances)"); 
            // Return a dummy instance ID since we don't have a specific instance to blame
            return Err((LlmError::ConfigError(error_msg), 0));
        }

        // 4. Get metrics for eligible instances
        let eligible_metrics: Vec<InstanceMetrics> = eligible_instances_data.iter()
            .map(|inst| inst.get_metrics())
            .collect();

        // 5. Select instance using strategy
        let selected_metric_index = {
            let mut strategy = self.strategy.lock().unwrap();
            debug!("instance_selection: Acquired strategy lock"); 
            let index = strategy.select_instance(&eligible_metrics);
            debug!("instance_selection: Released strategy lock"); 
            index
        };

        let selected_instance_id = eligible_metrics[selected_metric_index].id;
        // Find the LlmInstance reference from the eligible list using the selected ID
        // Need to re-find it using the ID because eligible_instances_data's indices might not match eligible_metrics indices if filtering happened
         let selected_instance_ref = eligible_instances_data.iter()
            .find(|inst| inst.id == selected_instance_id)
            .map(|inst_ref| *inst_ref) // Dereference to get &LlmInstance
            .expect("Selected instance ID from metrics not found in eligible list - LOGIC ERROR!"); // Added expect

        debug!("Selected instance {} ({}) for the request.", selected_instance_ref.id, selected_instance_ref.provider.get_name());

        // 6. Merge parameters
        let mut final_params = HashMap::new();
        if let Some(task_name) = task {
            if let Some(task_def) = selected_instance_ref.provider.get_supported_tasks().get(task_name) {
                final_params.extend(task_def.parameters.clone());
                debug!("Applied parameters from task '{}' for instance {}", task_name, selected_instance_ref.id);
            } else {
                warn!("Task '{}' not found in supported tasks for selected instance {} ({}), though it passed filtering. Potential inconsistency?",
                    task_name, selected_instance_ref.id, selected_instance_ref.provider.get_name());
            }
        }
        if let Some(req_params) = request_params {
            final_params.extend(req_params);
            debug!("Applied request-specific parameters for instance {}", selected_instance_ref.id);
        }

        // 7. Clone provider Arc and ID for use after releasing lock
        let selected_provider_arc = selected_instance_ref.provider.clone();
        let selected_id = selected_instance_ref.id;

        // Explicitly drop the guard to release the first instances lock *before* the await call
        debug!("instance_selection: Releasing instances lock (1st time) before API call"); 
        drop(instances_guard);


        // Create and execute the request
        let max_tokens = final_params.get("max_tokens")
            .and_then(|v| v.as_u64())
            .map(|v| v as u32);

        let temperature = final_params.get("temperature")
            .and_then(|v| v.as_f64())
            .map(|v| v as f32);

        let request = LlmRequest {
            messages: vec![Message {
                role: "user".to_string(),
                content: prompt.to_string(),
            }],
            model: None, // Let provider use its configured model
            max_tokens,
            temperature,
        };

        debug!("Instance {} ({}) sending request to provider...", selected_id, selected_provider_arc.get_name());
        let start_time = Instant::now();
        let result = selected_provider_arc.generate(&request).await; // <<< Network call happens here
        let duration = start_time.elapsed();
        info!("Instance {} ({}) received result in {:?}", selected_id, selected_provider_arc.get_name(), duration); // Changed to info

        // Update metrics regardless of success or failure
        {
            debug!("instance_selection: Attempting to acquire instances lock (2nd time) for metrics update"); 
            let mut instances_guard = self.instances.lock().unwrap();
            debug!("instance_selection: Acquired instances lock (2nd time)"); 
            if let Some(instance_mut) = instances_guard.iter_mut().find(|inst| inst.id == selected_id) {
                debug!("Recording result for instance {}", selected_id);
                instance_mut.record_result(duration, &result);
                debug!("Finished recording result for instance {}", selected_id); 
            } else {
                warn!("Instance {} not found for metric update after request completion.", selected_id);
            }
            debug!("instance_selection: Releasing instances lock (2nd time) after metrics update"); 
            // Lock released when instances_guard goes out of scope here
        }

        // Return either content or error with the instance ID
        match result {
            Ok(response) => {
                if let Some(usage) = &response.usage {
                    self.update_instance_usage(selected_id, usage);
                    debug!("Updated token usage for instance {}: {:?}", selected_id, usage);
                }
                debug!("instance_selection returning Ok for instance {}", selected_id); 
                Ok((response.content, selected_id))
            },
            Err(e) => {
                debug!("instance_selection returning Err for instance {}: {}", selected_id, e); 
                Err((e, selected_id))
            },
        }
    }

    /// Get metrics for all provider instances
    ///
    /// # Returns
    /// * List of metrics for all instances
    pub fn get_provider_stats(&self) -> Vec<InstanceMetrics> {
        let instances = self.instances.lock().unwrap();
        instances
            .iter()
            .map(|instance| instance.get_metrics())
            .collect()
    }

    /// Update token usage for a specific instance
    ///
    /// # Parameters
    /// * `instance_id` - ID of the instance to update
    /// * `usage` - The token usage to add
    fn update_instance_usage(&self, instance_id: usize, usage: &TokenUsage) {
        let mut usage_map = self.total_usage.lock().unwrap();
        
        let instance_usage = usage_map.entry(instance_id).or_insert(TokenUsage {
            prompt_tokens: 0,
            completion_tokens: 0,
            total_tokens: 0,
        });
        
        instance_usage.prompt_tokens += usage.prompt_tokens;
        instance_usage.completion_tokens += usage.completion_tokens;
        instance_usage.total_tokens += usage.total_tokens;
        
        debug!("Updated usage for instance {}: current total is {} tokens", 
               instance_id, instance_usage.total_tokens);
    }

    /// Public method to update usage for a specific instance
    ///
    /// # Parameters
    /// * `instance_id` - ID of the instance to update
    /// * `usage` - The token usage to add
    pub fn update_usage(&self, instance_id: usize, usage: &TokenUsage) {
        self.update_instance_usage(instance_id, usage);
    }

    /// Get token usage for a specific instance
    ///
    /// # Parameters
    /// * `instance_id` - ID of the instance to query
    ///
    /// # Returns
    /// * Token usage for the specified instance, if found
    pub fn get_instance_usage(&self, instance_id: usize) -> Option<TokenUsage> {
        let usage_map = self.total_usage.lock().unwrap();
        usage_map.get(&instance_id).cloned()
    }

    /// Get total token usage across all instances
    ///
    /// # Returns
    /// * Combined token usage statistics
    pub fn get_total_usage(&self) -> TokenUsage {
        let usage_map = self.total_usage.lock().unwrap();
        
        usage_map.values().fold(
            TokenUsage {
                prompt_tokens: 0,
                completion_tokens: 0,
                total_tokens: 0,
            },
            |mut acc, usage| {
                acc.prompt_tokens += usage.prompt_tokens;
                acc.completion_tokens += usage.completion_tokens;
                acc.total_tokens += usage.total_tokens;
                acc
            }
        )
    }

    /// Print token usage statistics to console
    pub fn print_token_usage(&self) {
        println!("\n--- Token Usage Statistics ---");
        println!("{:<5} {:<15} {:<30} {:<15} {:<15} {:<15}", 
            "ID", "Provider", "Model", "Prompt Tokens", "Completion Tokens", "Total Tokens");
        println!("{}", "-".repeat(95));

        // Get provider stats to access provider information
        let provider_stats = self.get_provider_stats();
        
        // Print usage for each instance
        for stat in provider_stats {
            if let Some(usage) = self.get_instance_usage(stat.id) {
                
                println!(
                    "{:<5} {:<15} {:<30} {:<15} {:<15} {:<15}", 
                    stat.id,
                    stat.provider_name,
                    stat.model,
                    usage.prompt_tokens,
                    usage.completion_tokens,
                    usage.total_tokens
                );
            }
        }
    }
}