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

@@ -26,11 +26,12 @@ class TestJobCreation:
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", "2025-01-17"],
models=["gpt-5", "claude-3.7-sonnet"]
)
job_id = job_result["job_id"]
assert job_id is not None
job = manager.get_job(job_id)
@@ -44,11 +45,12 @@ class TestJobCreation:
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", "2025-01-17"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
progress = manager.get_job_progress(job_id)
assert progress["total_model_days"] == 2 # 2 dates × 1 model
@@ -60,11 +62,12 @@ class TestJobCreation:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job1_id = manager.create_job(
job1_result = manager.create_job(
"configs/test.json",
["2025-01-16"],
["gpt-5"]
)
job1_id = job1_result["job_id"]
with pytest.raises(ValueError, match="Another simulation job is already running"):
manager.create_job(
@@ -78,20 +81,22 @@ class TestJobCreation:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job1_id = manager.create_job(
job1_result = manager.create_job(
"configs/test.json",
["2025-01-16"],
["gpt-5"]
)
job1_id = job1_result["job_id"]
manager.update_job_status(job1_id, "completed")
# Now second job should be allowed
job2_id = manager.create_job(
job2_result = manager.create_job(
"configs/test.json",
["2025-01-17"],
["gpt-5"]
)
job2_id = job2_result["job_id"]
assert job2_id is not None
@@ -104,11 +109,12 @@ class TestJobStatusTransitions:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
"configs/test.json",
["2025-01-16"],
["gpt-5"]
)
job_id = job_result["job_id"]
# Update detail to running
manager.update_job_detail_status(job_id, "2025-01-16", "gpt-5", "running")
@@ -122,11 +128,12 @@ class TestJobStatusTransitions:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
"configs/test.json",
["2025-01-16"],
["gpt-5"]
)
job_id = job_result["job_id"]
manager.update_job_detail_status(job_id, "2025-01-16", "gpt-5", "running")
manager.update_job_detail_status(job_id, "2025-01-16", "gpt-5", "completed")
@@ -141,11 +148,12 @@ class TestJobStatusTransitions:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
"configs/test.json",
["2025-01-16"],
["gpt-5", "claude-3.7-sonnet"]
)
job_id = job_result["job_id"]
# First model succeeds
manager.update_job_detail_status(job_id, "2025-01-16", "gpt-5", "running")
@@ -183,10 +191,12 @@ class TestJobRetrieval:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job1_id = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job1_result = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job1_id = job1_result["job_id"]
manager.update_job_status(job1_id, "completed")
job2_id = manager.create_job("configs/test.json", ["2025-01-17"], ["gpt-5"])
job2_result = manager.create_job("configs/test.json", ["2025-01-17"], ["gpt-5"])
job2_id = job2_result["job_id"]
current = manager.get_current_job()
assert current["job_id"] == job2_id
@@ -204,11 +214,12 @@ class TestJobRetrieval:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
"configs/test.json",
["2025-01-16", "2025-01-17"],
["gpt-5"]
)
job_id = job_result["job_id"]
found = manager.find_job_by_date_range(["2025-01-16", "2025-01-17"])
assert found["job_id"] == job_id
@@ -237,11 +248,12 @@ class TestJobProgress:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
"configs/test.json",
["2025-01-16", "2025-01-17"],
["gpt-5"]
)
job_id = job_result["job_id"]
progress = manager.get_job_progress(job_id)
assert progress["total_model_days"] == 2
@@ -254,11 +266,12 @@ class TestJobProgress:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
"configs/test.json",
["2025-01-16"],
["gpt-5"]
)
job_id = job_result["job_id"]
manager.update_job_detail_status(job_id, "2025-01-16", "gpt-5", "running")
@@ -270,11 +283,12 @@ class TestJobProgress:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job(
job_result = manager.create_job(
"configs/test.json",
["2025-01-16"],
["gpt-5", "claude-3.7-sonnet"]
)
job_id = job_result["job_id"]
manager.update_job_detail_status(job_id, "2025-01-16", "gpt-5", "completed")
@@ -311,7 +325,8 @@ class TestConcurrencyControl:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job_result = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job_id = job_result["job_id"]
manager.update_job_status(job_id, "running")
assert manager.can_start_new_job() is False
@@ -321,7 +336,8 @@ class TestConcurrencyControl:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job_result = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job_id = job_result["job_id"]
manager.update_job_status(job_id, "completed")
assert manager.can_start_new_job() is True
@@ -331,13 +347,15 @@ class TestConcurrencyControl:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job1_id = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job1_result = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job1_id = job1_result["job_id"]
# Complete first job
manager.update_job_status(job1_id, "completed")
# Create second job
job2_id = manager.create_job("configs/test.json", ["2025-01-17"], ["gpt-5"])
job2_result = manager.create_job("configs/test.json", ["2025-01-17"], ["gpt-5"])
job2_id = job2_result["job_id"]
running = manager.get_running_jobs()
assert len(running) == 1
@@ -368,12 +386,13 @@ class TestJobCleanup:
conn.close()
# Create recent job
recent_id = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
recent_result = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
recent_id = recent_result["job_id"]
# Cleanup jobs older than 30 days
result = manager.cleanup_old_jobs(days=30)
cleanup_result = manager.cleanup_old_jobs(days=30)
assert result["jobs_deleted"] == 1
assert cleanup_result["jobs_deleted"] == 1
assert manager.get_job("old-job") is None
assert manager.get_job(recent_id) is not None
@@ -387,7 +406,8 @@ class TestJobUpdateOperations:
from api.job_manager import JobManager
manager = JobManager(db_path=clean_db)
job_id = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job_result = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job_id = job_result["job_id"]
manager.update_job_status(job_id, "failed", error="MCP service unavailable")
@@ -401,7 +421,8 @@ class TestJobUpdateOperations:
import time
manager = JobManager(db_path=clean_db)
job_id = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job_result = manager.create_job("configs/test.json", ["2025-01-16"], ["gpt-5"])
job_id = job_result["job_id"]
# Start
manager.update_job_detail_status(job_id, "2025-01-16", "gpt-5", "running")
@@ -432,11 +453,12 @@ class TestJobWarnings:
job_manager = JobManager(db_path=clean_db)
# Create a job
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 limit reached", "Skipped 2 dates"]
@@ -457,11 +479,12 @@ class TestStaleJobCleanup:
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", "2025-01-17"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
# Job is pending - simulate container restart
result = manager.cleanup_stale_jobs()
@@ -478,11 +501,12 @@ class TestStaleJobCleanup:
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", "2025-01-17"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
# Mark job as running and complete one model-day
manager.update_job_status(job_id, "running")
@@ -502,11 +526,12 @@ class TestStaleJobCleanup:
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"]
# Mark as downloading data
manager.update_job_status(job_id, "downloading_data")
@@ -524,11 +549,12 @@ class TestStaleJobCleanup:
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", "2025-01-17"],
models=["gpt-5"]
)
job_id = job_result["job_id"]
# Mark job as running, one detail running, one pending
manager.update_job_status(job_id, "running")
@@ -552,11 +578,12 @@ class TestStaleJobCleanup:
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"]
# Complete the job
manager.update_job_detail_status(job_id, "2025-01-16", "gpt-5", "completed")
@@ -575,28 +602,31 @@ class TestStaleJobCleanup:
manager = JobManager(db_path=clean_db)
# Create first job
job1_id = manager.create_job(
job1_result = manager.create_job(
config_path="configs/test.json",
date_range=["2025-01-16"],
models=["gpt-5"]
)
job1_id = job1_result["job_id"]
manager.update_job_status(job1_id, "running")
manager.update_job_status(job1_id, "completed")
# Create second job (pending)
job2_id = manager.create_job(
job2_result = manager.create_job(
config_path="configs/test.json",
date_range=["2025-01-17"],
models=["gpt-5"]
)
job2_id = job2_result["job_id"]
# Create third job (running)
manager.update_job_status(job2_id, "completed")
job3_id = manager.create_job(
job3_result = manager.create_job(
config_path="configs/test.json",
date_range=["2025-01-18"],
models=["gpt-5"]
)
job3_id = job3_result["job_id"]
manager.update_job_status(job3_id, "running")
# Simulate container restart