feat: add duplicate detection to job creation

- Skip already-completed model-day pairs in create_job()
- Return warnings for skipped simulations
- Raise error if all simulations are already completed
- Update create_job() return type from str to Dict[str, Any]
- Update all callers to handle new dict return type
- Add comprehensive test coverage for duplicate detection
- Log warnings when simulations are skipped

tests/integration/test_api_endpoints.py

@@ -405,11 +405,12 @@ class TestAsyncDownload:
         db_path = api_client.db_path
         job_manager = JobManager(db_path=db_path)
 
-        job_id = job_manager.create_job(
+        job_result = job_manager.create_job(
             config_path="config.json",
             date_range=["2025-10-01"],
             models=["gpt-5"]
         )
+        job_id = job_result["job_id"]
 
         # Add warnings
         warnings = ["Rate limited", "Skipped 1 date"]

tests/integration/test_async_download.py

@@ -12,11 +12,12 @@ def test_worker_prepares_data_before_execution(tmp_path):
     job_manager = JobManager(db_path=db_path)
 
     # Create job
-    job_id = job_manager.create_job(
+    job_result = job_manager.create_job(
         config_path="configs/default_config.json",
         date_range=["2025-10-01"],
         models=["gpt-5"]
     )
+    job_id = job_result["job_id"]
 
     worker = SimulationWorker(job_id=job_id, db_path=db_path)
 
@@ -46,11 +47,12 @@ def test_worker_handles_no_available_dates(tmp_path):
     initialize_database(db_path)
     job_manager = JobManager(db_path=db_path)
 
-    job_id = job_manager.create_job(
+    job_result = job_manager.create_job(
         config_path="configs/default_config.json",
         date_range=["2025-10-01"],
         models=["gpt-5"]
     )
+    job_id = job_result["job_id"]
 
     worker = SimulationWorker(job_id=job_id, db_path=db_path)
 
@@ -74,11 +76,12 @@ def test_worker_stores_warnings(tmp_path):
     initialize_database(db_path)
     job_manager = JobManager(db_path=db_path)
 
-    job_id = job_manager.create_job(
+    job_result = job_manager.create_job(
         config_path="configs/default_config.json",
         date_range=["2025-10-01"],
         models=["gpt-5"]
     )
+    job_id = job_result["job_id"]
 
     worker = SimulationWorker(job_id=job_id, db_path=db_path)