v1.2.7 - prefix search, keyboard shortcut fixes, GNOME AppImage fix

src-tauri/src/commands.rs

@@ -257,6 +257,14 @@ pub fn save_note(
     drop(config);
 
     operations::save_note(&path, &meta, &body)?;
+
+    // Re-index note so search picks up changes immediately
+    if let Ok(search_guard) = state.search_index.lock() {
+        if let Some(ref search) = *search_guard {
+            let _ = search.index_note(&path);
+        }
+    }
+
     Ok(())
 }
 
@@ -1368,9 +1376,20 @@ fn resolve_wiki_ref(
 pub fn open_file(path: String) -> Result<(), String> {
     #[cfg(target_os = "linux")]
     {
-        std::process::Command::new("xdg-open")
-            .arg(&path)
-            .spawn()
+        let mut cmd = std::process::Command::new("xdg-open");
+        cmd.arg(&path);
+        // Clear AppImage environment so child processes find host binaries
+        // (e.g. gio-launch-desktop on GNOME)
+        if std::env::var("APPIMAGE").is_ok() {
+            cmd.env_remove("LD_LIBRARY_PATH")
+                .env_remove("LD_PRELOAD")
+                .env_remove("GIO_LAUNCHED_DESKTOP_FILE")
+                .env_remove("GIO_LAUNCHED_DESKTOP_FILE_PID");
+            if let Ok(original_path) = std::env::var("PATH_ORIG") {
+                cmd.env("PATH", original_path);
+            }
+        }
+        cmd.spawn()
             .map_err(|e| format!("Failed to open {}: {}", path, e))?;
     }
     #[cfg(target_os = "macos")]

src-tauri/src/search/mod.rs

@@ -9,9 +9,9 @@ use tantivy::collector::TopDocs;
 use tantivy::directory::MmapDirectory;
 #[cfg(target_os = "android")]
 use tantivy::directory::RamDirectory;
-use tantivy::query::QueryParser;
+use tantivy::query::{BooleanQuery, FuzzyTermQuery, Occur, PhrasePrefixQuery, Query};
 use tantivy::schema::*;
-use tantivy::{Index, IndexWriter, TantivyDocument};
+use tantivy::{Index, IndexWriter, TantivyDocument, Term};
 use walkdir::WalkDir;
 
 pub struct SearchIndex {
@@ -152,14 +152,37 @@ impl SearchIndex {
         let reader = self.index.reader().map_err(|e| e.to_string())?;
         let searcher = reader.searcher();
 
-        let query_parser = QueryParser::for_index(
-            &self.index,
-            vec![self.title_field, self.body_field, self.tags_field],
-        );
+        let fields = vec![self.title_field, self.body_field, self.tags_field];
+        let terms: Vec<String> = query_str
+            .split_whitespace()
+            .map(|t| t.to_lowercase())
+            .collect();
 
-        let query = query_parser
-            .parse_query(query_str)
-            .map_err(|e| e.to_string())?;
+        // For each search term, create prefix + fuzzy queries across all fields (OR),
+        // then AND all terms together
+        let term_queries: Vec<(Occur, Box<dyn Query>)> = terms
+            .iter()
+            .map(|term| {
+                let field_queries: Vec<(Occur, Box<dyn Query>)> = fields
+                    .iter()
+                    .flat_map(|&field| {
+                        let prefix: Box<dyn Query> = Box::new(PhrasePrefixQuery::new(
+                            vec![Term::from_field_text(field, term)],
+                        ));
+                        let fuzzy: Box<dyn Query> = Box::new(FuzzyTermQuery::new(
+                            Term::from_field_text(field, term),
+                            1,
+                            true,
+                        ));
+                        vec![(Occur::Should, prefix), (Occur::Should, fuzzy)]
+                    })
+                    .collect();
+                let combined: Box<dyn Query> = Box::new(BooleanQuery::new(field_queries));
+                (Occur::Must, combined)
+            })
+            .collect();
+
+        let query = BooleanQuery::new(term_queries);
 
         let top_docs = searcher
             .search(&query, &TopDocs::with_limit(limit))