feat: async insight generation with SQLite job tracking

- Add insight_generation_jobs table migration and DAO
- Implement job lifecycle: create_or_get_active, complete, fail, cancel
- Refactor POST /insights/generate and /agentic to async spawn with timeout
- Add GET /insights/generation/status endpoint with job_id and file_path lookup
- Use String for enum fields in Diesel models to avoid private Bound type
- Add from_str() helpers on InsightJobStatus and InsightGenerationType
- Fix update_training_messages to return Result<usize, DbError>
- 7/7 DAO unit tests passing

src/state.rs

@@ -6,10 +6,10 @@ use crate::ai::llamacpp::LlamaCppClient;
 use crate::ai::openrouter::OpenRouterClient;
 use crate::ai::{InsightGenerator, OllamaClient, SmsApiClient};
 use crate::database::{
-    CalendarEventDao, DailySummaryDao, ExifDao, InsightDao, KnowledgeDao, LocationHistoryDao,
-    SearchHistoryDao, SqliteCalendarEventDao, SqliteDailySummaryDao, SqliteExifDao,
-    SqliteInsightDao, SqliteKnowledgeDao, SqliteLocationHistoryDao, SqliteSearchHistoryDao,
-    connect,
+    CalendarEventDao, DailySummaryDao, ExifDao, InsightDao, InsightGenerationJobDao, KnowledgeDao,
+    LocationHistoryDao, SearchHistoryDao, SqliteCalendarEventDao, SqliteDailySummaryDao,
+    SqliteExifDao, SqliteInsightDao, SqliteInsightGenerationJobDao, SqliteKnowledgeDao,
+    SqliteLocationHistoryDao, SqliteSearchHistoryDao, connect,
 };
 use crate::database::{PreviewDao, SqlitePreviewDao};
 use crate::faces;
@@ -86,6 +86,8 @@ pub struct AppState {
     /// Same disabled semantics as `face_client`: unset env → no-op
     /// backlog drain, /photos/search returns an empty result.
     pub clip_client: ClipClient,
+    /// Tracks async insight generation jobs (spawned by generate endpoints).
+    pub insight_job_dao: Arc<Mutex<Box<dyn InsightGenerationJobDao>>>,
 }
 
 impl AppState {
@@ -124,6 +126,7 @@ impl AppState {
         preview_dao: Arc<Mutex<Box<dyn PreviewDao>>>,
         face_client: FaceClient,
         clip_client: ClipClient,
+        insight_job_dao: Arc<Mutex<Box<dyn InsightGenerationJobDao>>>,
     ) -> Self {
         assert!(
             !libraries_vec.is_empty(),
@@ -165,6 +168,7 @@ impl AppState {
             insight_chat,
             face_client,
             clip_client,
+            insight_job_dao,
         }
     }
 
@@ -253,6 +257,10 @@ impl Default for AppState {
         let face_dao: Arc<Mutex<Box<dyn faces::FaceDao>>> =
             Arc::new(Mutex::new(Box::new(faces::SqliteFaceDao::new())));
 
+        // Initialize insight generation job DAO (async generation tracking)
+        let insight_job_dao: Arc<Mutex<Box<dyn InsightGenerationJobDao>>> =
+            Arc::new(Mutex::new(Box::new(SqliteInsightGenerationJobDao::new())));
+
         // Load base path and ensure the primary library row reflects it.
         let base_path = env::var("BASE_PATH").expect("BASE_PATH was not set in the env");
         let mut seed_conn = connect();
@@ -319,6 +327,7 @@ impl Default for AppState {
             preview_dao,
             face_client,
             clip_client,
+            insight_job_dao,
         )
     }
 }
@@ -389,6 +398,7 @@ fn parse_llamacpp_allowed_models() -> Vec<String> {
 impl AppState {
     /// Creates an AppState instance for testing with temporary directories
     pub fn test_state() -> Self {
+        use crate::database::insight_generation_job_dao::SqliteInsightGenerationJobDao;
         use actix::Actor;
         // Create a base temporary directory
         let temp_dir = tempfile::tempdir().expect("Failed to create temp directory");
@@ -502,6 +512,7 @@ impl AppState {
             preview_dao,
             FaceClient::new(None), // disabled in test
             ClipClient::new(None), // disabled in test
+            Arc::new(Mutex::new(Box::new(SqliteInsightGenerationJobDao::new()))), // placeholder for test
         )
     }
 }