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
This commit is contained in:
2025-11-07 13:03:31 -05:00
parent 406bb281b2
commit fbe383772a
10 changed files with 1549 additions and 91 deletions

View File

@@ -112,11 +112,12 @@ class TestModelDayExecutorExecution:
# Create job and job_detail
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
config_path=str(config_path),
date_range=["2025-01-16"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
# Mock agent execution
mock_agent = create_mock_agent(
@@ -156,11 +157,12 @@ class TestModelDayExecutorExecution:
# Create job
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
config_path="configs/test.json",
date_range=["2025-01-16"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
# Mock agent to raise error
with patch("api.model_day_executor.RuntimeConfigManager") as mock_runtime:
@@ -212,11 +214,12 @@ class TestModelDayExecutorDataPersistence:
# Create job
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
config_path=str(config_path),
date_range=["2025-01-16"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
# Mock successful execution (no trades)
mock_agent = create_mock_agent(
@@ -269,11 +272,12 @@ class TestModelDayExecutorDataPersistence:
# Create job
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
config_path="configs/test.json",
date_range=["2025-01-16"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
# Mock execution with reasoning
mock_agent = create_mock_agent(
@@ -320,11 +324,12 @@ class TestModelDayExecutorCleanup:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
config_path="configs/test.json",
date_range=["2025-01-16"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
mock_agent = create_mock_agent(
session_result={"success": True}
@@ -355,11 +360,12 @@ class TestModelDayExecutorCleanup:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
config_path="configs/test.json",
date_range=["2025-01-16"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
with patch("api.model_day_executor.RuntimeConfigManager") as mock_runtime:
mock_instance = Mock()