feat: implement replace_existing parameter to allow re-running completed simulations

Add skip_completed parameter to JobManager.create_job() to control duplicate detection:
- When skip_completed=True (default), skips already-completed simulations (existing behavior)
- When skip_completed=False, includes ALL requested simulations regardless of completion status

API endpoint now uses request.replace_existing to control skip_completed parameter:
- replace_existing=false (default): skip_completed=True (skip duplicates)
- replace_existing=true: skip_completed=False (force re-run all simulations)

This allows users to force re-running completed simulations when needed.

api/job_manager.py

@@ -55,7 +55,8 @@ class JobManager:
         config_path: str,
         date_range: List[str],
         models: List[str],
-        model_day_filter: Optional[List[tuple]] = None
+        model_day_filter: Optional[List[tuple]] = None,
+        skip_completed: bool = True
     ) -> Dict[str, Any]:
         """
         Create new simulation job.
@@ -66,6 +67,8 @@ class JobManager:
             models: List of model signatures to execute
             model_day_filter: Optional list of (model, date) tuples to limit job_details.
                              If None, creates job_details for all model-date combinations.
+            skip_completed: If True (default), skips already-completed simulations.
+                           If False, includes all requested simulations regardless of completion status.
 
         Returns:
             Dict with:
@@ -73,7 +76,7 @@ class JobManager:
               - warnings: List of warning messages for skipped simulations
 
         Raises:
-            ValueError: If another job is already running/pending or if all simulations are already completed
+            ValueError: If another job is already running/pending or if all simulations are already completed (when skip_completed=True)
         """
         if not self.can_start_new_job():
             raise ValueError("Another simulation job is already running or pending")
@@ -91,10 +94,12 @@ class JobManager:
             else:
                 pairs_to_check = [(model, date) for date in date_range for model in models]
 
-            # Check for already-completed simulations
+            # Check for already-completed simulations (only if skip_completed=True)
             skipped_pairs = []
             pending_pairs = []
 
+            if skip_completed:
+                # Perform duplicate checking
                 for model, date in pairs_to_check:
                     cursor.execute("""
                         SELECT COUNT(*)
@@ -121,6 +126,10 @@ class JobManager:
                         f"Skipped {len(skipped_pairs)} model-day pair(s). "
                         f"Details: {warnings}"
                     )
+            else:
+                # skip_completed=False: include ALL pairs (no duplicate checking)
+                pending_pairs = pairs_to_check
+                logger.info(f"Including all {len(pending_pairs)} model-day pairs (skip_completed=False)")
 
             # Insert job
             cursor.execute("""

api/main.py

@@ -284,7 +284,8 @@ def create_app(
                 config_path=config_path,
                 date_range=all_dates,
                 models=models_to_run,
-                model_day_filter=None  # Worker will filter based on available data
+                model_day_filter=None,  # Worker will filter based on available data
+                skip_completed=(not request.replace_existing)  # Skip if replace_existing=False
             )
             job_id = result["job_id"]
             warnings = result.get("warnings", [])

tests/unit/test_job_manager_duplicate_detection.py

@@ -211,3 +211,46 @@ def test_create_job_raises_error_when_all_simulations_completed(temp_db):
     error_message = str(exc_info.value)
     assert "All requested simulations are already completed" in error_message
     assert "Skipped 4 model-day pair(s)" in error_message
+
+
+def test_create_job_with_skip_completed_false_includes_all_simulations(temp_db):
+    """Test that skip_completed=False includes ALL simulations, even already-completed ones."""
+    manager = JobManager(db_path=temp_db)
+
+    # Create first job and complete some model-days
+    result_1 = manager.create_job(
+        config_path="test_config.json",
+        date_range=["2025-10-15", "2025-10-16"],
+        models=["model-a", "model-b"]
+    )
+    job_id_1 = result_1["job_id"]
+
+    # Mark all model-days as completed
+    manager.update_job_detail_status(job_id_1, "2025-10-15", "model-a", "completed")
+    manager.update_job_detail_status(job_id_1, "2025-10-15", "model-b", "completed")
+    manager.update_job_detail_status(job_id_1, "2025-10-16", "model-a", "completed")
+    manager.update_job_detail_status(job_id_1, "2025-10-16", "model-b", "completed")
+
+    # Create second job with skip_completed=False
+    result_2 = manager.create_job(
+        config_path="test_config.json",
+        date_range=["2025-10-15", "2025-10-16"],
+        models=["model-a", "model-b"],
+        skip_completed=False
+    )
+    job_id_2 = result_2["job_id"]
+
+    # Get job details for second job
+    details = manager.get_job_details(job_id_2)
+
+    # Should have ALL 4 model-day pairs (no skipping)
+    assert len(details) == 4
+
+    dates_models = [(d["date"], d["model"]) for d in details]
+    assert ("2025-10-15", "model-a") in dates_models
+    assert ("2025-10-15", "model-b") in dates_models
+    assert ("2025-10-16", "model-a") in dates_models
+    assert ("2025-10-16", "model-b") in dates_models
+
+    # Verify no warnings were returned
+    assert result_2.get("warnings") == []