use tauri::{
    AppHandle, Manager, State, Emitter, 
    menu::{Menu, MenuItem},
    tray::{TrayIconBuilder, TrayIconEvent},
    WindowEvent
};
use std::sync::{Arc, Mutex};
use std::process::Command;
use cpal::traits::{DeviceTrait, HostTrait, StreamTrait};
use std::time::Duration;
use tokio::time::sleep;
use base64::Engine;

mod audio_processor;
use audio_processor::AudioProcessor;
mod auth;
mod email;
mod sc_audio;

// State to hold the active recording stream
struct AppState {
    recording_stream: Mutex<Option<cpal::Stream>>,
    recording_file_path: Mutex<Option<String>>,
    system_capture: Mutex<Option<sc_audio::SystemAudioCapture>>,
}

#[derive(serde::Serialize)]
struct AudioDevice {
    id: String,
    name: String,
}

#[derive(serde::Serialize, Clone)]
struct LogEvent {
    level: String,
    message: String,
    timestamp: String,
}

pub(crate) fn emit_log(app: &AppHandle, level: &str, message: &str) {
    let log = LogEvent {
        level: level.to_string(),
        message: message.to_string(),
        timestamp: chrono::Local::now().format("%H:%M:%S").to_string(),
    };
    let _ = app.emit("log-event", log);
}

#[tauri::command]
fn greet(name: &str) -> String {
    format!("Hello, {}! You've been greeted from Rust!", name)
}

#[tauri::command]
fn get_input_devices() -> Result<Vec<AudioDevice>, String> {
    let host = cpal::default_host();
    let devices = host.input_devices().map_err(|e| e.to_string())?;
    
    let mut result = Vec::new();
    for device in devices {
        #[allow(deprecated)]
        if let Ok(name) = device.name() {
            // macOS often produces weird names, but let's just use what we get
            result.push(AudioDevice {
                id: name.clone(), // Using name as ID for simplicity in this MVP
                name,
            });
        }
    }
    Ok(result)
}



#[tauri::command]
async fn start_recording(app: AppHandle, state: State<'_, AppState>, device_id: String, save_path: Option<String>, custom_filename: Option<String>, wait_for_speech: Option<bool>, mode: String) -> Result<(), String> {
    emit_log(&app, "INFO", &format!("Starting recording [Mode: {}] on device: {}", mode, device_id));
    let host = cpal::default_host();
    
    // Find device by name (using name as ID)
    #[allow(deprecated)]
    let device = host.input_devices()
        .map_err(|e| e.to_string())?
        .find(|d| d.name().map(|n| n == device_id).unwrap_or(false))
        .or_else(|| host.default_input_device())
        .ok_or("No input device found")?;

    // Select the configuration with the MAXIMUM number of channels
    // This is crucial for "Hearbit Audio" (Aggregate) which lists 3 channels but might default to 2.
    // Select Audio Configuration
    // We prioritize 48kHz because System Audio (ScreenCaptureKit) acts best at 48k.
    let supported_configs: Vec<_> = device.supported_input_configs().map_err(|e| e.to_string())?.collect();
    
    // Try to find 48kHz specifically
    // Note: cpal::SampleRate is likely a type alias for u32 here, so we pass 48000 directly.
    let config = supported_configs.iter()
        .find(|c| c.min_sample_rate() <= 48000 && c.max_sample_rate() >= 48000)
        .map(|c| c.with_sample_rate(48000))
        .or_else(|| {
            // Fallback: Max sample rate
            supported_configs.iter()
                .max_by_key(|c| c.channels())
                .map(|c| c.with_max_sample_rate())
        })
        .ok_or("No supported input configurations found")?;
    
    emit_log(&app, "INFO", &format!("Selected Audio Config: {} Channels, {} Hz", config.channels(), config.sample_rate()));

    let spec = hound::WavSpec {
        channels: config.channels(),
        sample_rate: config.sample_rate(),
        bits_per_sample: 16,
        sample_format: hound::SampleFormat::Int,
    };

    // Determine file path: User provided or Temp
    let filename = if let Some(name) = custom_filename {
        // Sanitize filename
        let safe_name: String = name.chars().map(|x| if x.is_alphanumeric() || x == ' ' || x == '-' || x == '_' { x } else { '_' }).collect();
        format!("{}.wav", safe_name)
    } else {
        format!("recording_{}.wav", std::time::SystemTime::now().duration_since(std::time::UNIX_EPOCH).unwrap().as_secs())
    };

    let file_path = if let Some(path) = save_path {
        if path.trim().is_empty() {
             std::env::temp_dir().join(&filename)
        } else {
             std::path::PathBuf::from(path).join(&filename)
        }
    } else {
         std::env::temp_dir().join(&filename)
    };
    
    let file_path_str = file_path.to_string_lossy().to_string();
    emit_log(&app, "INFO", &format!("Saving recording to: {}", file_path_str));

    let writer = hound::WavWriter::create(&file_path, spec).map_err(|e| e.to_string())?;
    let writer = Arc::new(Mutex::new(writer));
    let writer_clone = writer.clone();
    
    // Initialize AudioProcessor (VAD)
    // We pass the writer to it.
    let should_wait = wait_for_speech.unwrap_or(false);
    if should_wait {
        emit_log(&app, "INFO", &format!("Recording started in WAITING mode (Trigger: {}).", if mode == "voice" { "Speech" } else { "System Audio" }));
    }

    let processor = AudioProcessor::new(config.sample_rate(), config.channels(), writer.clone(), app.clone(), should_wait, mode)
        .map_err(|e| format!("Failed to create AudioProcessor: {}", e))?;
        
    // Wrap processor in Arc<Mutex> so we can share/move it into callback
    // Actually, cpal callback takes ownership of its closure state usually if 'move'.
    // Since stream is on another thread, we need Send. AudioProcessor should be Send.
    // However, the callback is called repeatedly. We need to keep state.
    // The workaround is to wrap it in a Mutex.
    let processor = Arc::new(Mutex::new(processor));
    let processor_clone = processor.clone();

    // --- SYSTEM AUDIO CAPTURE START ---
    // Prevent Doubling: If user selected an aggregate device (Hearbit Audio/BlackHole), 
    // it ALREADY contains system audio. In that case, we don't need internal SCK capture.
    let is_aggregate = device_id.contains("Hearbit") || device_id.contains("BlackHole");
    
    if is_aggregate {
        emit_log(&app, "INFO", "Aggregate device detected. Disabling internal System Audio Capture to prevent doubling.");
    } else {
        let mut sys_capture = sc_audio::SystemAudioCapture::new(config.sample_rate());
        
        // Get the queue to share with the capture callback
        let queue_clone = {
            let p = processor.lock().unwrap();
            p.system_queue.clone() // Access the pub field we added
        };

        let sys_callback = move |data: &[f32]| {
            // Push to queue
            if let Ok(mut q) = queue_clone.lock() {
                q.extend(data.iter());
                
                // Limit queue size to avoid memory leaks if main process loop is slow
                while q.len() > 48000 * 5 { // 5 seconds buffer
                   q.pop_front();
                }
            }
        };

        match sys_capture.start(sys_callback).await {
            Ok(_) => emit_log(&app, "INFO", "System Audio Capture started."),
            Err(e) => emit_log(&app, "WARN", &format!("System Audio Capture failed (Permissions?): {}", e)),
        }
        
        *state.system_capture.lock().unwrap() = Some(sys_capture);
    }
    // --- SYSTEM AUDIO CAPTURE END ---

    let app_handle = app.clone();
    let err_fn = move |err| {
        eprintln!("an error occurred on stream: {}", err);
        emit_log(&app_handle, "ERROR", &format!("Stream error: {}", err));
    };

    let stream = match config.sample_format() {
        cpal::SampleFormat::F32 => device.build_input_stream(
            &config.into(),
            move |data: &[f32], _: &_| {
                if let Ok(mut p) = processor_clone.lock() {
                    p.process(data);
                }
            },
            err_fn,
            None
        ),
        // For I16 and U16 we need to convert to F32 for our processor
        cpal::SampleFormat::I16 => device.build_input_stream(
            &config.into(),
            move |data: &[i16], _: &_| {
                 // Convert i16 to f32
                 let f32_data: Vec<f32> = data.iter().map(|&s| s as f32 / i16::MAX as f32).collect();
                 if let Ok(mut p) = processor_clone.lock() {
                    p.process(&f32_data);
                }
            },
            err_fn,
            None
        ),
        cpal::SampleFormat::U16 => device.build_input_stream(
            &config.into(),
            move |data: &[u16], _: &_| {
                // Convert u16 to f32
                let f32_data: Vec<f32> = data.iter().map(|&s| (s as i32 - 32768) as f32 / 32768.0).collect();
                if let Ok(mut p) = processor_clone.lock() {
                    p.process(&f32_data);
                }
            },
            err_fn,
            None
        ),
        _ => return Err("Unsupported sample format".to_string()),
    }.map_err(|e| e.to_string())?;

    stream.play().map_err(|e| e.to_string())?;

    // Store state
    *state.recording_stream.lock().unwrap() = Some(stream);
    *state.recording_file_path.lock().unwrap() = Some(file_path_str.clone());

    emit_log(&app, "SUCCESS", &format!("Recording started. File: {}", file_path_str));
    Ok(())
}

#[tauri::command]
fn stop_recording(app: AppHandle, state: State<'_, AppState>) -> Result<String, String> {
    emit_log(&app, "INFO", "Stopping recording...");
    // Drop stream to stop recording
    {
        let mut stream_guard = state.recording_stream.lock().unwrap();
        // Also stop System Capture
        let mut sys_guard = state.system_capture.lock().unwrap();
        if let Some(sys) = sys_guard.as_mut() {
             sys.stop();
        }
        *sys_guard = None;

        if stream_guard.is_none() {
            return Err("Not recording".to_string());
        }
        *stream_guard = None; // This drops the stream and stops recording
    }
    
    // Return file path
    let mut path_guard = state.recording_file_path.lock().unwrap();
    let path = path_guard.take().ok_or("No recording path found".to_string())?;
    emit_log(&app, "SUCCESS", &format!("Recording stopped. Saved to: {}", path));
    Ok(path)
}

#[tauri::command]
fn pause_recording(app: AppHandle, state: State<'_, AppState>) -> Result<(), String> {
    emit_log(&app, "INFO", "Pausing recording...");
    let stream_guard = state.recording_stream.lock().unwrap();
    if let Some(stream) = stream_guard.as_ref() {
        stream.pause().map_err(|e| e.to_string())?;
        emit_log(&app, "SUCCESS", "Recording paused.");
        Ok(())
    } else {
        Err("Not recording".to_string())
    }
}

#[tauri::command]
fn resume_recording(app: AppHandle, state: State<'_, AppState>) -> Result<(), String> {
    emit_log(&app, "INFO", "Resuming recording...");
    let stream_guard = state.recording_stream.lock().unwrap();
    if let Some(stream) = stream_guard.as_ref() {
        stream.play().map_err(|e| e.to_string())?;
        emit_log(&app, "SUCCESS", "Recording resumed.");
        Ok(())
    } else {
        Err("Not recording".to_string())
    }
}

#[derive(serde::Deserialize)]
struct ModelListResponse {
    data: Vec<ModelData>,
}

#[derive(serde::Deserialize)]
struct ModelData {
    id: String,
    #[allow(dead_code)]
    owned_by: Option<String>,
}

// Structs for Infomaniak API responses
#[derive(serde::Deserialize)]
struct WhisperResponse {
    text: Option<String>,
    batch_id: Option<String>,
}

#[derive(serde::Deserialize)]
struct ChatCompletionResponse {
    choices: Vec<Choice>,
}
#[derive(serde::Deserialize)]
struct Choice {
    message: Message,
}
#[derive(serde::Deserialize)]
struct Message {
    #[allow(dead_code)]
    content: String,
}

#[derive(serde::Serialize)]
struct ModelInfo {
    id: String,
    name: String,
}

#[tauri::command]
async fn get_available_models(app: AppHandle, api_key: String, product_id: String) -> Result<Vec<ModelInfo>, String> {
    emit_log(&app, "INFO", "Fetching available models from Infomaniak...");
    let client = reqwest::Client::new();
    // Use the v2/openai compliant endpoint as per docs
    let url = format!("https://api.infomaniak.com/2/ai/{}/openai/v1/models", product_id);

    emit_log(&app, "DEBUG", &format!("GET {}", url));

    let res = client.get(&url)
        .header("Authorization", format!("Bearer {}", api_key))
        .send()
        .await
        .map_err(|e| {
            let msg = format!("Network error fetching models: {}", e);
            emit_log(&app, "ERROR", &msg);
            msg
        })?;

    if res.status().is_success() {
        let raw_body = res.text().await.map_err(|e| e.to_string())?;
        // println!("Models Raw Response: {}", raw_body);
        let list: ModelListResponse = serde_json::from_str(&raw_body)
            .map_err(|e| format!("Failed to parse models: {}. Body: {}", e, raw_body))?;

        let models = list.data.into_iter()
            .filter(|m| !m.id.to_lowercase().contains("mini_lm") && !m.id.to_lowercase().contains("bert") && !m.id.to_lowercase().contains("embedding"))
            .map(|m| ModelInfo {
            id: m.id.clone(),
            name: m.id, // Use ID as name for now, or fetch more details if available
        }).collect::<Vec<ModelInfo>>();
        
        emit_log(&app, "SUCCESS", &format!("Loaded {} models.", models.len()));
        Ok(models)
    } else {
         let err = res.text().await.unwrap_or_default();
         emit_log(&app, "ERROR", &format!("Failed to fetch models: {}", err));
         Err(format!("Failed to fetch models: {}", err))
    }
}


#[derive(serde::Deserialize)]
struct WhisperVerboseResponse {
    text: Option<String>,
    segments: Option<Vec<Segment>>,
}

#[derive(serde::Deserialize)]
struct Segment {
    start: f64,
    end: f64,
    text: String,
}

#[tauri::command]
async fn transcribe_audio(app: AppHandle, file_path: String, api_key: String, product_id: String) -> Result<String, String> {
    emit_log(&app, "INFO", "Starting transcription with timestamps...");
    let client = reqwest::Client::new();
    
    // Prepare file part
    let file_bytes = std::fs::read(&file_path).map_err(|e| e.to_string())?;
    // We must use a known file name for the part, Infomaniak might care, or not.
    let file_part = reqwest::multipart::Part::bytes(file_bytes)
        .file_name("recording.wav") 
        .mime_str("audio/wav")
        .map_err(|e| e.to_string())?;

    let form = reqwest::multipart::Form::new()
        .part("file", file_part)
        .text("model", "whisper")
        .text("response_format", "verbose_json")
        .text("timestamp_granularities[]", "segment"); // Crucial for accurate segments

    let url = format!("https://api.infomaniak.com/1/ai/{}/openai/audio/transcriptions", product_id);
    
    emit_log(&app, "DEBUG", &format!("POST {}", url));

    let res = client.post(&url)
        .header("Authorization", format!("Bearer {}", api_key))
        .multipart(form)
        .send()
        .await
        .map_err(|e| {
            let msg = format!("Network error during transcription: {}", e);
            emit_log(&app, "ERROR", &msg);
            msg
        })?;

    if res.status().is_success() {
        let raw_body = res.text().await.map_err(|e| e.to_string())?;
        
        // Check if we got a batch ID
        #[derive(serde::Deserialize)]
        struct BatchResponse {
            batch_id: Option<String>,
        }
        
        // Try parsing as batch response first (Infomaniak specific behavior)
        if let Ok(batch_res) = serde_json::from_str::<BatchResponse>(&raw_body) {
             if let Some(batch_id) = batch_res.batch_id {
                 emit_log(&app, "INFO", &format!("Transcription queued. Batch ID: {}", batch_id));
                 return poll_transcription(&app, &client, &api_key, &product_id, &batch_id).await;
             }
        }

        // If not batch, try parsing verbose response directly
        // Log the raw body so we can see why it fails
        emit_log(&app, "DEBUG", &format!("Direct Response (first 500 chars): {:.500}", raw_body));

        let response: WhisperVerboseResponse = serde_json::from_str(&raw_body)
            .map_err(|e| format!("Failed to decode JSON: {}. Body: {}", e, raw_body))?;

        if let Some(segments) = response.segments {
            emit_log(&app, "INFO", &format!("Found {} segments (Direct).", segments.len()));
             for (i, seg) in segments.iter().take(3).enumerate() {
                emit_log(&app, "DEBUG", &format!("Seg {}: start={}", i, seg.start));
            }

            // Format timestamps: [MM:SS] Text
            let mut formatted_transcript = String::new();
            for segment in segments {
                let start_mins = (segment.start / 60.0).floor() as u64;
                let start_secs = (segment.start % 60.0).floor() as u64;
                formatted_transcript.push_str(&format!("[{:02}:{:02}] {}\n", start_mins, start_secs, segment.text.trim()));
            }
            
            // Fallback to raw text if segments empty
            if formatted_transcript.trim().is_empty() {
                if let Some(text) = response.text {
                    emit_log(&app, "SUCCESS", "Segments missing, using raw text.");
                    return Ok(text);
                }
            } else {
                emit_log(&app, "SUCCESS", "Transcription received with timestamps.");
                return Ok(formatted_transcript);
            }
        } else if let Some(text) = response.text {
             emit_log(&app, "SUCCESS", "Segments missing, using raw text.");
             return Ok(text);
        }

        emit_log(&app, "ERROR", "Response contained no recognized content.");
        Err(format!("Response contained no recognized content. Body: {}", raw_body))
    } else {
        let error_text = res.text().await.unwrap_or_default();
        emit_log(&app, "ERROR", &format!("Transcription failed: {}", error_text));
        Err(format!("Transcription failed: {}", error_text))
    }
}

async fn poll_transcription(app: &AppHandle, client: &reqwest::Client, api_key: &str, product_id: &str, batch_id: &str) -> Result<String, String> {
    let status_url = format!("https://api.infomaniak.com/1/ai/{}/results/{}", product_id, batch_id);
    
    let mut attempts = 0;
    while attempts < 40 { // 40 * 2s = 80s timeout
        attempts += 1;
        sleep(Duration::from_secs(2)).await;
        
        emit_log(app, "DEBUG", &format!("Polling status... Attempt {}", attempts));
        let res = client.get(&status_url)
             .header("Authorization", format!("Bearer {}", api_key))
             .send()
             .await
             .map_err(|e| format!("Polling error: {}", e))?;
             
        if res.status().is_success() {
            let json: serde_json::Value = res.json().await.map_err(|e| e.to_string())?;
            // Check 'status'
            if let Some(status) = json.get("status").and_then(|s| s.as_str()) {
                if status == "success" {
                    // Download the result
                    let download_url = format!("https://api.infomaniak.com/1/ai/{}/results/{}/download", product_id, batch_id);
                     let dl_res = client.get(&download_url)
                         .header("Authorization", format!("Bearer {}", api_key))
                         .send()
                         .await
                         .map_err(|e| e.to_string())?;
                         
                     if dl_res.status().is_success() {
                         let content = dl_res.text().await.map_err(|e| e.to_string())?;
                         emit_log(app, "DEBUG", &format!("Poll Raw Content (first 500 chars): {:.500}", content));

                         // Try to parse as Verbose JSON to get timestamps
                         if let Ok(response) = serde_json::from_str::<WhisperVerboseResponse>(&content) {
                            if let Some(segments) = response.segments {
                                emit_log(app, "INFO", &format!("Found {} segments.", segments.len()));
                                // Log first 3 segments start times
                                for (i, seg) in segments.iter().take(3).enumerate() {
                                    emit_log(app, "DEBUG", &format!("Seg {}: start={}", i, seg.start));
                                }

                                let mut formatted_transcript = String::new();
                                for segment in segments {
                                    let start_mins = (segment.start / 60.0).floor() as u64;
                                    let start_secs = (segment.start % 60.0).floor() as u64;
                                    formatted_transcript.push_str(&format!("[{:02}:{:02}] {}\n", start_mins, start_secs, segment.text.trim()));
                                }
                                if !formatted_transcript.trim().is_empty() {
                                    emit_log(app, "SUCCESS", "Transcription completed (async) with timestamps.");
                                    return Ok(formatted_transcript);
                                } else {
                                     emit_log(app, "WARN", "Segments found but empty content.");
                                }
                            } else {
                                emit_log(app, "WARN", "Verbose parsed but no segments found.");
                            }
                            
                            if let Some(text) = response.text {
                                 emit_log(app, "SUCCESS", "Transcription completed (async) - raw text (segments missing).");
                                 return Ok(text);
                            }
                         } else {
                             emit_log(app, "WARN", "Failed to parse poll content as WhisperVerboseResponse");
                         }

                         emit_log(app, "SUCCESS", "Transcription completed - returning raw content.");
                         // If not JSON or no text field, return raw content
                         return Ok(content);
                     } else {
                         emit_log(app, "ERROR", "Failed to download transcription results.");
                         return Err(format!("Download failed: {}", dl_res.status()));
                     }
                } else if status == "failed" || status == "error" {
                    let err_msg = format!("Batch processing failed [Status: {}]. Full Response: {:?}", status, json);
                    emit_log(app, "ERROR", &err_msg);
                    return Err(err_msg);
                }
                // If 'processing' or 'pending', continue loop
            }
        }
    }
    emit_log(app, "ERROR", "Transcription timed out after 80s.");
    Err("Transcription timed out".to_string())
}

#[tauri::command]
async fn summarize_text(app: AppHandle, text: String, api_key: String, product_id: String, prompt: String, model: String) -> Result<String, String> {
    emit_log(&app, "INFO", "Starting summarization...");
    let client = reqwest::Client::new();
    let url = format!("https://api.infomaniak.com/2/ai/{}/openai/v1/chat/completions", product_id);

    let messages = serde_json::json!([
        { "role": "system", "content": prompt },
        { "role": "user", "content": text }
    ]);

    let model_to_use = if model.is_empty() { "mixtral".to_string() } else { model };

    let body = serde_json::json!({
        "model": model_to_use, 
        "messages": messages
    });

    emit_log(&app, "DEBUG", &format!("POST {}", url));

    let res = client.post(&url)
        .header("Authorization", format!("Bearer {}", api_key))
        .header("Content-Type", "application/json")
        .json(&body)
        .send()
        .await
        .map_err(|e| {
            let msg = format!("Network error during summarization: {}", e);
            emit_log(&app, "ERROR", &msg);
            msg
        })?;

    if res.status().is_success() {
        let raw_body = res.text().await.map_err(|e| e.to_string())?;
        // println!("Summarization Raw Response: {}", raw_body);

        let response_body: ChatCompletionResponse = serde_json::from_str(&raw_body)
            .map_err(|e| format!("Failed to decode JSON: {}. Body: {}", e, raw_body))?;
            
        if let Some(choice) = response_body.choices.first() {
            emit_log(&app, "SUCCESS", "Summarization received.");
            Ok(choice.message.content.clone())
        } else {
            emit_log(&app, "WARN", "No summary generated in response.");
            Err("No summary generated".to_string())
        }
    } else {
        let error_text = res.text().await.unwrap_or_default();
        emit_log(&app, "ERROR", &format!("Summarization failed: {}", error_text));
        Err(format!("Summarization failed: {}", error_text))
    }
}

#[derive(serde::Serialize)]
struct AudioMetadata {
    duration: f64,
    size: u64,
    format: String,
}

// Helper to find ffmpeg/ffprobe in common paths
fn resolve_binary_path(binary_name: &str) -> String {
    let common_paths = [
        format!("/opt/homebrew/bin/{}", binary_name),
        format!("/usr/local/bin/{}", binary_name),
        format!("/usr/bin/{}", binary_name),
    ];

    for path in common_paths.iter() {
        if std::path::Path::new(path).exists() {
            return path.clone();
        }
    }
    
    // Fallback to expecting it in PATH
    binary_name.to_string()
}

#[tauri::command]
fn get_audio_metadata(app: AppHandle, file_path: String) -> Result<AudioMetadata, String> {
    emit_log(&app, "INFO", &format!("Getting metadata for: {}", file_path));
    
    let path = std::path::Path::new(&file_path);
    if !path.exists() {
        return Err(format!("File not found: {}", file_path));
    }

    let size = std::fs::metadata(&file_path)
        .map_err(|e| e.to_string())?
        .len();

    // Use ffprobe to get duration
    // Try resolved path first
    let ffprobe_cmd = resolve_binary_path("ffprobe");
    
    let output = Command::new(&ffprobe_cmd)
        .args([
            "-v", "error",
            "-show_entries", "format=duration",
            "-of", "default=noprint_wrappers=1:nokey=1",
            &file_path
        ])
        .output()
        .map_err(|e| format!("Failed to execute ffprobe at '{}': {}", ffprobe_cmd, e))?;

    let duration_str = String::from_utf8_lossy(&output.stdout);
    let duration: f64 = duration_str.trim().parse().unwrap_or(0.0);
    
    // Extension as format
    let format = path.extension()
        .and_then(|e| e.to_str())
        .unwrap_or("unknown")
        .to_string();

    Ok(AudioMetadata {
        duration,
        size,
        format,
    })
}

#[tauri::command]
fn convert_to_mp3(app: AppHandle, wav_path: String) -> Result<String, String> {
    emit_log(&app, "INFO", &format!("Converting to MP3: {}", wav_path));
    
    let mp3_path = wav_path.replace(".wav", ".mp3");
    let ffmpeg_cmd = resolve_binary_path("ffmpeg");
    
    let output = Command::new(&ffmpeg_cmd)
        .args([
            "-i", &wav_path,
            "-codec:a", "libmp3lame",
            "-b:a", "64k",
            "-y", // overwrite
            &mp3_path
        ])
        .output()
        .map_err(|e| format!("Failed to execute ffmpeg at '{}': {}", ffmpeg_cmd, e))?;
    
    if output.status.success() {
        emit_log(&app, "SUCCESS", &format!("MP3 created: {}", mp3_path));
        Ok(mp3_path)
    } else {
        let error = String::from_utf8_lossy(&output.stderr);
        emit_log(&app, "ERROR", &format!("MP3 conversion failed: {}", error));
        Err(format!("MP3 conversion failed: {}", error))
    }
}

#[tauri::command]
fn chunk_audio(app: AppHandle, file_path: String, chunk_minutes: u32) -> Result<Vec<String>, String> {
    emit_log(&app, "INFO", &format!("Chunking audio: {} ({}min chunks)", file_path, chunk_minutes));
    
    let chunk_seconds = chunk_minutes * 60;
    let ffprobe_cmd = resolve_binary_path("ffprobe");
    let ffmpeg_cmd = resolve_binary_path("ffmpeg");
    
    // Get total duration using ffprobe
    let duration_output = Command::new(&ffprobe_cmd)
        .args([
            "-v", "error",
            "-show_entries", "format=duration",
            "-of", "default=noprint_wrappers=1:nokey=1",
            &file_path
        ])
        .output()
        .map_err(|e| format!("Failed to get duration with '{}': {}", ffprobe_cmd, e))?;
    
    let duration_str = String::from_utf8_lossy(&duration_output.stdout);
    let duration: f64 = duration_str.trim().parse()
        .map_err(|_| "Failed to parse duration".to_string())?;
    
    let num_chunks = (duration / chunk_seconds as f64).ceil() as usize;
    emit_log(&app, "INFO", &format!("Total duration: {}s, creating {} chunks", duration, num_chunks));
    
    let mut chunk_paths = Vec::new();
    let base_path = file_path.replace(".mp3", "");
    
    for i in 0..num_chunks {
        let start_time = i as u32 * chunk_seconds;
        let chunk_path = format!("{}_chunk_{}.mp3", base_path, i);
        
        let output = Command::new(&ffmpeg_cmd)
            .args([
                "-i", &file_path,
                "-ss", &start_time.to_string(),
                "-t", &chunk_seconds.to_string(),
                "-c", "copy",
                "-y",
                &chunk_path
            ])
            .output()
            .map_err(|e| format!("Failed to create chunk {} with '{}': {}", i, ffmpeg_cmd, e))?;
        
        if !output.status.success() {
            let error = String::from_utf8_lossy(&output.stderr);
            return Err(format!("Chunk {} failed: {}", i, error));
        }
        
        chunk_paths.push(chunk_path);
    }
    
    emit_log(&app, "SUCCESS", &format!("Created {} chunks", chunk_paths.len()));
    Ok(chunk_paths)
}

#[tauri::command]
fn read_image_as_base64(app: AppHandle, file_path: String) -> Result<String, String> {
    emit_log(&app, "INFO", &format!("Reading image as base64: {}", file_path));
    
    let bytes = std::fs::read(&file_path)
        .map_err(|e| format!("Failed to read file: {}", e))?;
    
    // Detect image type from extension
    let extension = std::path::Path::new(&file_path)
        .extension()
        .and_then(|e| e.to_str())
        .unwrap_or("png")
        .to_lowercase();
    
    let mime_type = match extension.as_str() {
        "jpg" | "jpeg" => "image/jpeg",
        "png" => "image/png",
        "svg" => "image/svg+xml",
        "gif" => "image/gif",
        _ => "image/png"
    };
    
    // Use base64 encoding
    let base64_str = base64::prelude::BASE64_STANDARD.encode(&bytes);
    let data_url = format!("data:{};base64,{}", mime_type, base64_str);
    
    emit_log(&app, "SUCCESS", &format!("Image converted to base64 ({} bytes)", base64_str.len()));
    Ok(data_url)
}

#[tauri::command]
fn open_audio_midi_setup() -> Result<(), String> {
    Command::new("open")
        .arg("-a")
        .arg("Audio MIDI Setup")
        .spawn()
        .map_err(|e| e.to_string())?;
    Ok(())
}

#[tauri::command]
fn create_hearbit_audio_device(app: AppHandle) -> Result<String, String> {
    emit_log(&app, "INFO", "Attempting to create Hearbit Audio device...");
    
    // Resolve resource path
    let resource_path = app.path().resource_dir()
        .map_err(|e| e.to_string())?
        .join("resources/create_hearbit_audio.swift");
        
    if !resource_path.exists() {
         // Fallback for dev environment where resources might not be bundled yet or different path
         emit_log(&app, "WARN", &format!("Resource script not found at {:?}. Trying local src-tauri path.", resource_path));
    }
    
    // For now, in dev mode, we might need to point to the source location if bundle isn't active
    // But let's try running it.
    
    let output = Command::new("swift")
        .arg(resource_path)
        .output()
        .map_err(|e| e.to_string())?;
        
    let stdout = String::from_utf8_lossy(&output.stdout).to_string();
    let stderr = String::from_utf8_lossy(&output.stderr).to_string();
    
    emit_log(&app, "DEBUG", &format!("Script Output: {}", stdout));
    if !stderr.is_empty() {
        emit_log(&app, "WARN", &format!("Script Stderr: {}", stderr));
    }

    if output.status.success() {
        emit_log(&app, "SUCCESS", "Hearbit Audio device created successfully.");
        Ok("Device created successfully".to_string())
    } else {
        emit_log(&app, "ERROR", "Failed to create device.");
        Err(format!("Failed to create device: {} {}", stdout, stderr))
    }
}

#[tauri::command]
async fn check_screen_recording_permission() -> bool {
    sc_audio::check_permissions().await
}


#[tauri::command]
async fn save_text_file(app: AppHandle, path: String, content: String) -> Result<(), String> {
    emit_log(&app, "INFO", &format!("Saving text file to: {}", path));
    match std::fs::write(&path, content) {
        Ok(_) => {
            emit_log(&app, "SUCCESS", "File saved successfully.");
            Ok(())
        },
        Err(e) => {
            emit_log(&app, "ERROR", &format!("Failed to save file: {}", e));
            Err(e.to_string())
        }
    }
}



#[tauri::command]
async fn read_log_file(app: AppHandle) -> Result<String, String> {
    let log_path = app.path().app_log_dir().map_err(|e| e.to_string())?.join("hearbit-ai.log");
    if log_path.exists() {
        let content = std::fs::read_to_string(&log_path).map_err(|e| e.to_string())?;
        Ok(content)
    } else {
        Ok("No log file found yet.".to_string())
    }
}

#[cfg_attr(mobile, tauri::mobile_entry_point)]
pub fn run() {
    tauri::Builder::default()
        .setup(|app| {
            // Setup Tray Icon
            let quit_i = MenuItem::with_id(app, "quit", "Quit Hearbit AI", true, None::<&str>).unwrap();
            let show_i = MenuItem::with_id(app, "show", "Show Window", true, None::<&str>).unwrap();
            let menu = Menu::with_items(app, &[&show_i, &quit_i]).unwrap();

            let _tray = TrayIconBuilder::new()
                .icon(app.default_window_icon().unwrap().clone())
                .menu(&menu)
                .show_menu_on_left_click(true) 
                .on_menu_event(|app, event| {
                    match event.id.as_ref() {
                        "quit" => app.exit(0),
                        "show" => {
                            if let Some(window) = app.get_webview_window("main") {
                                let _ = window.show();
                                let _ = window.set_focus();
                            }
                        }
                        _ => {}
                    }
                })
                .on_tray_icon_event(|tray, event| {
                     if let TrayIconEvent::Click { .. } = event {
                          let app = tray.app_handle();
                          if let Some(window) = app.get_webview_window("main") {
                               let _ = window.show();
                               let _ = window.set_focus();
                          }
                     }
                })
                .build(app)?;

            Ok(())
        })
        .on_window_event(|window, event| {
            if let WindowEvent::CloseRequested { api, .. } = event {
                // Prevent window from closing, just hide it
                window.hide().unwrap();
                api.prevent_close();
            }
        })
        .plugin(tauri_plugin_shell::init())
        .plugin(tauri_plugin_log::Builder::default()
            .targets([
                tauri_plugin_log::Target::new(tauri_plugin_log::TargetKind::Stdout),
                tauri_plugin_log::Target::new(tauri_plugin_log::TargetKind::LogDir { file_name: Some("hearbit-ai.log".to_string()) }),
            ])
            .build())
        .plugin(tauri_plugin_opener::init())
        .plugin(tauri_plugin_dialog::init())
        .plugin(tauri_plugin_fs::init())
        .plugin(tauri_plugin_oauth::init())
        .manage(AppState {
            recording_stream: Mutex::new(None),
            recording_file_path: Mutex::new(None),
            system_capture: Mutex::new(None),
        })
        .invoke_handler(tauri::generate_handler![
            greet,
            get_input_devices,
            start_recording,
            stop_recording,
            pause_recording,
            resume_recording,
            transcribe_audio,
            summarize_text,
            get_available_models,
            open_audio_midi_setup,
            create_hearbit_audio_device,
            check_screen_recording_permission,
            auth::start_auth_flow,
            auth::get_calendar_events,
            save_text_file,
            read_log_file,
            get_audio_metadata,
            convert_to_mp3,
            chunk_audio,
            read_image_as_base64,
            email::send_smtp_email
        ])
        .run(tauri::generate_context!())
        .expect("error while running tauri application");
}
