initial commit

Signed-off-by: Sienna Meridian Satterwhite <sienna@r3t.io>

crates/server/src/services/emotion_service.rs

@@ -0,0 +1,119 @@
+use crate::db;
+use anyhow::Result;
+use rusqlite::Connection;
+use std::sync::Arc;
+use tokio::sync::{mpsc, Mutex};
+use tracing::{error, info, warn};
+
+/// Service responsible for classifying emotions in messages
+pub struct EmotionService {
+    us_db: Arc<Mutex<Connection>>,
+    rx: mpsc::Receiver<lib::Message>,
+    model_version: String,
+    training_sample_rate: f64,
+}
+
+impl EmotionService {
+    pub fn new(
+        us_db: Arc<Mutex<Connection>>,
+        rx: mpsc::Receiver<lib::Message>,
+        model_version: String,
+        training_sample_rate: f64,
+    ) -> Self {
+        Self {
+            us_db,
+            rx,
+            model_version,
+            training_sample_rate,
+        }
+    }
+
+    pub async fn run(mut self) -> Result<()> {
+        info!(
+            "Starting emotion classification service with model: {}",
+            self.model_version
+        );
+        info!(
+            "Training sample rate: {:.2}%",
+            self.training_sample_rate * 100.0
+        );
+
+        // TODO: Load the RoBERTa emotion classification model here
+        info!("Loading RoBERTa-base-go_emotions model...");
+        // let model = load_emotion_model(&self.model_version)?;
+        info!("Emotion model loaded (placeholder)");
+
+        while let Some(msg) = self.rx.recv().await {
+            if let Err(e) = self.process_message(&msg).await {
+                error!("Error processing message {}: {}", msg.rowid, e);
+            }
+        }
+
+        Ok(())
+    }
+
+    async fn process_message(&self, msg: &lib::Message) -> Result<()> {
+        // Get message ID from our database
+        let us_db = self.us_db.lock().await;
+        let message_id = match db::get_message_id_by_chat_rowid(&us_db, msg.rowid)? {
+            Some(id) => id,
+            None => {
+                warn!("Message {} not found in database, skipping", msg.rowid);
+                return Ok(());
+            }
+        };
+
+        // Check if emotion classification already exists
+        if db::get_emotion_by_message_id(&us_db, message_id)?.is_some() {
+            return Ok(());
+        }
+
+        // Skip if message has no text
+        let text = match &msg.text {
+            Some(t) if !t.is_empty() => t,
+            _ => return Ok(()),
+        };
+
+        drop(us_db);
+
+        // Classify emotion
+        // TODO: Replace with actual model inference
+        let (emotion, confidence) = self.classify_emotion(text)?;
+
+        // Store emotion classification
+        let us_db = self.us_db.lock().await;
+        db::insert_emotion(&us_db, message_id, &emotion, confidence, &self.model_version)?;
+
+        // Randomly add to training set based on sample rate
+        if rand::random::<f64>() < self.training_sample_rate {
+            db::insert_training_sample(&us_db, Some(message_id), text, &emotion)?;
+            info!(
+                "Added message {} to training set (emotion: {})",
+                msg.rowid, emotion
+            );
+        }
+
+        drop(us_db);
+        info!(
+            "Classified message {} as {} (confidence: {:.2})",
+            msg.rowid, emotion, confidence
+        );
+
+        Ok(())
+    }
+
+    fn classify_emotion(&self, text: &str) -> Result<(String, f64)> {
+        // TODO: Replace with actual RoBERTa-base-go_emotions inference using Candle
+        // The model outputs probabilities for 28 emotions:
+        // admiration, amusement, anger, annoyance, approval, caring, confusion,
+        // curiosity, desire, disappointment, disapproval, disgust, embarrassment,
+        // excitement, fear, gratitude, grief, joy, love, nervousness, optimism,
+        // pride, realization, relief, remorse, sadness, surprise, neutral
+
+        // For now, return a placeholder
+        let emotion = "neutral".to_string();
+        let confidence = 0.85;
+
+        Ok((emotion, confidence))
+    }
+}