fix(worker): prevent target duplication when running in worker mode (#1085)

Fixes #1069

When a task is dispatched via Celery (start_runner), both the Task
runner and the command runner create Target objects for the same inputs.
Since they share the same unique_name, self_targets counts both,
reporting "Loaded 2 targets" instead of 1.

Fixed by checking for existing Target names in prior results before
creating new Target objects from inputs.

Generated with [Claude Code](https://claude.ai/code)

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## Summary by CodeRabbit

* **Bug Fixes**
* Fixed an issue where duplicate target result entries were being
created unnecessarily during runner initialization. The system now
checks for existing target entries before instantiating new ones,
eliminating redundant data and ensuring cleaner result sets.

[![Review Change
Stack](https://storage.googleapis.com/coderabbit_public_assets/review-stack-in-coderabbit-ui.svg)](https://app.coderabbit.ai/change-stack/freelabz/secator/pull/1085)

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---------

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Olivier Cervello <ocervell@users.noreply.github.com>

secator/runners/_base.py

@@ -198,9 +198,10 @@ class Runner:
 		self.debug(f'resolving inputs with {len(self.dynamic_opts)} dynamic opts', obj=self.dynamic_opts, sub='init')
 		self.inputs = [inputs] if not isinstance(inputs, list) else inputs
 		self.inputs = list(set(self.inputs))
-		targets = [Target(name=target) for target in self.inputs]
-		for target in targets:
-			self.add_result(target, print=False, output=False)
+		if self.caller != 'Task':
+			targets = [Target(name=target) for target in self.inputs]
+			for target in targets:
+				self.add_result(target, print=False, output=False)
 
 		# Run extractors on results
 		self._run_extractors()