src/ai/insight_generator.rs

@@ -611,17 +611,6 @@ impl InsightGenerator {
         }
     }
 
-    /// Generate AI insight for a single photo with optional custom model
-    /// (Deprecated: Use generate_insight_for_photo_with_config instead)
-    pub async fn generate_insight_for_photo_with_model(
-        &self,
-        file_path: &str,
-        custom_model: Option<String>,
-    ) -> Result<()> {
-        self.generate_insight_for_photo_with_config(file_path, custom_model, None, None)
-            .await
-    }
-
     /// Generate AI insight for a single photo with custom configuration
     pub async fn generate_insight_for_photo_with_config(
         &self,
@@ -890,7 +879,7 @@ impl InsightGenerator {
             log::info!(
                 "Fetched {} SMS messages closest to {}",
                 sms_messages.len(),
-                chrono::DateTime::from_timestamp(timestamp, 0)
+                DateTime::from_timestamp(timestamp, 0)
                     .map(|dt| dt.format("%Y-%m-%d %H:%M:%S").to_string())
                     .unwrap_or_else(|| "unknown time".to_string())
             );
@@ -1109,43 +1098,6 @@ Return ONLY the comma-separated list, nothing else."#,
         }
     }
 
-    /// Find relevant messages using RAG with topic-enriched query
-    async fn find_relevant_messages_rag_enriched(
-        &self,
-        date: chrono::NaiveDate,
-        contact: Option<&str>,
-        topics: &[String],
-        limit: usize,
-    ) -> Result<Vec<String>> {
-        // Build enriched query from date + topics
-        let mut query_parts = Vec::new();
-
-        query_parts.push(format!("On {}", date.format("%B %d, %Y")));
-
-        if !topics.is_empty() {
-            query_parts.push(format!("about {}", topics.join(", ")));
-        }
-
-        if let Some(c) = contact {
-            query_parts.push(format!("conversation with {}", c));
-        }
-
-        // Add day of week
-        let weekday = date.format("%A");
-        query_parts.push(format!("it was a {}", weekday));
-
-        let query = query_parts.join(", ");
-
-        log::info!("========================================");
-        log::info!("ENRICHED RAG QUERY: {}", query);
-        log::info!("Extracted topics: {:?}", topics);
-        log::info!("========================================");
-
-        // Use existing RAG method with enriched query
-        self.find_relevant_messages_rag(date, None, contact, None, limit)
-            .await
-    }
-
     /// Summarize pre-formatted message strings using LLM (concise version for historical context)
     async fn summarize_messages(
         &self,