feat(ui): Implement manual skeleton context injection

src/app_controller.py

@@ -270,6 +270,11 @@ class AppController:
   self.prior_session_entries: List[Dict[str, Any]] = []
   self.test_hooks_enabled: bool = ("--enable-test-hooks" in sys.argv) or (os.environ.get("SLOP_TEST_HOOKS") == "1")
   self.ui_manual_approve: bool = False
+  # Injection state
+  self._inject_file_path: str = ""
+  self._inject_mode: str = "skeleton"
+  self._inject_preview: str = ""
+  self._show_inject_modal: bool = False
   self._settable_fields: Dict[str, str] = {
    'ai_input': 'ui_ai_input',
    'project_git_dir': 'ui_project_git_dir',
@@ -293,7 +298,10 @@ class AppController:
    'mma_active_tier': 'active_tier',
    'ui_new_track_name': 'ui_new_track_name',
    'ui_new_track_desc': 'ui_new_track_desc',
-   'manual_approve': 'ui_manual_approve'
+   'manual_approve': 'ui_manual_approve',
+   'inject_file_path': '_inject_file_path',
+   'inject_mode': '_inject_mode',
+   'show_inject_modal': '_show_inject_modal'
   }
   self._gettable_fields = dict(self._settable_fields)
   self._gettable_fields.update({
@@ -311,10 +319,40 @@ class AppController:
     'prior_session_indicator': 'prior_session_indicator',
     '_show_patch_modal': '_show_patch_modal',
     '_pending_patch_text': '_pending_patch_text',
-    '_pending_patch_files': '_pending_patch_files'
+    '_pending_patch_files': '_pending_patch_files',
+    '_inject_file_path': '_inject_file_path',
+    '_inject_mode': '_inject_mode',
+    '_inject_preview': '_inject_preview',
+    '_show_inject_modal': '_show_inject_modal'
    })
   self._init_actions()
 
+ def _update_inject_preview(self) -> None:
+  """Updates the preview content based on the selected file and injection mode."""
+  if not self._inject_file_path:
+   self._inject_preview = ""
+   return
+  target_path = self._inject_file_path
+  if not os.path.isabs(target_path):
+   target_path = os.path.join(self.ui_files_base_dir, target_path)
+  if not os.path.exists(target_path):
+   self._inject_preview = ""
+   return
+  try:
+   with open(target_path, "r", encoding="utf-8") as f:
+    content = f.read()
+   if self._inject_mode == "skeleton" and target_path.endswith(".py"):
+    parser = ASTParser("python")
+    preview = parser.get_skeleton(content)
+   else:
+    preview = content
+   lines = preview.splitlines()
+   if len(lines) > 500:
+    preview = "\n".join(lines[:500]) + "\n... (truncated)"
+   self._inject_preview = preview
+  except Exception as e:
+   self._inject_preview = f"Error reading file: {e}"
+
  @property
  def thinking_indicator(self) -> bool:
   return self.ai_status in ("sending...", "streaming...")