feat: add standardized testing scripts and documentation

Add comprehensive suite of testing scripts for different workflows:
- test.sh: Interactive menu for all testing operations
- quick_test.sh: Fast unit test feedback (~10-30s)
- run_tests.sh: Main test runner with full configuration options
- coverage_report.sh: Coverage analysis with HTML/JSON/terminal reports
- ci_test.sh: CI/CD optimized testing with JUnit/coverage XML output

Features:
- Colored terminal output with clear error messages
- Consistent option flags across all scripts
- Support for test markers (unit, integration, e2e, slow, etc.)
- Parallel execution support
- Coverage thresholds (default: 85%)
- Virtual environment and dependency checks

Documentation:
- Update CLAUDE.md with testing section and examples
- Expand docs/developer/testing.md with comprehensive guide
- Add scripts/README.md with quick reference

All scripts are tested and executable. This standardizes the testing
process for local development, CI/CD, and pull request workflows.

tests/e2e/test_async_download_flow.py

@@ -55,7 +55,7 @@ def test_complete_async_download_flow(test_client, monkeypatch):
     monkeypatch.setattr("api.price_data_manager.PriceDataManager", MockPriceManager)
 
     # Mock execution to avoid actual trading
-    def mock_execute_date(self, date, models, config_path):
+    def mock_execute_date(self, date, models, config_path, completion_skips=None):
         # Update job details to simulate successful execution
         from api.job_manager import JobManager
         job_manager = JobManager(db_path=test_client.app.state.db_path)
@@ -155,7 +155,7 @@ def test_flow_with_partial_data(test_client, monkeypatch):
 
     monkeypatch.setattr("api.price_data_manager.PriceDataManager", MockPriceManagerPartial)
 
-    def mock_execute_date(self, date, models, config_path):
+    def mock_execute_date(self, date, models, config_path, completion_skips=None):
         # Update job details to simulate successful execution
         from api.job_manager import JobManager
         job_manager = JobManager(db_path=test_client.app.state.db_path)

tests/integration/test_async_download.py

@@ -26,7 +26,7 @@ def test_worker_prepares_data_before_execution(tmp_path):
 
     def mock_prepare(*args, **kwargs):
         prepare_called.append(True)
-        return (["2025-10-01"], [])  # Return available dates, no warnings
+        return (["2025-10-01"], [], {})  # Return available dates, no warnings, no completion skips
 
     worker._prepare_data = mock_prepare
 
@@ -55,7 +55,7 @@ def test_worker_handles_no_available_dates(tmp_path):
     worker = SimulationWorker(job_id=job_id, db_path=db_path)
 
     # Mock _prepare_data to return empty dates
-    worker._prepare_data = Mock(return_value=([], []))
+    worker._prepare_data = Mock(return_value=([], [], {}))
 
     # Run worker
     result = worker.run()
@@ -84,7 +84,7 @@ def test_worker_stores_warnings(tmp_path):
 
     # Mock _prepare_data to return warnings
     warnings = ["Rate limited", "Skipped 1 date"]
-    worker._prepare_data = Mock(return_value=(["2025-10-01"], warnings))
+    worker._prepare_data = Mock(return_value=(["2025-10-01"], warnings, {}))
     worker._execute_date = Mock()
 
     # Run worker

tests/unit/test_simulation_worker.py

@@ -50,7 +50,7 @@ class TestSimulationWorkerExecution:
         worker = SimulationWorker(job_id=job_id, db_path=clean_db)
 
         # Mock _prepare_data to return both dates
-        worker._prepare_data = Mock(return_value=(["2025-01-16", "2025-01-17"], []))
+        worker._prepare_data = Mock(return_value=(["2025-01-16", "2025-01-17"], [], {}))
 
         # Mock ModelDayExecutor
         with patch("api.simulation_worker.ModelDayExecutor") as mock_executor_class:
@@ -82,7 +82,7 @@ class TestSimulationWorkerExecution:
         worker = SimulationWorker(job_id=job_id, db_path=clean_db)
 
         # Mock _prepare_data to return both dates
-        worker._prepare_data = Mock(return_value=(["2025-01-16", "2025-01-17"], []))
+        worker._prepare_data = Mock(return_value=(["2025-01-16", "2025-01-17"], [], {}))
 
         execution_order = []
 
@@ -127,7 +127,7 @@ class TestSimulationWorkerExecution:
         worker = SimulationWorker(job_id=job_id, db_path=clean_db)
 
         # Mock _prepare_data to return the date
-        worker._prepare_data = Mock(return_value=(["2025-01-16"], []))
+        worker._prepare_data = Mock(return_value=(["2025-01-16"], [], {}))
 
         def create_mock_executor(job_id, date, model_sig, config_path, db_path):
             """Create mock executor that simulates job detail status updates."""
@@ -168,7 +168,7 @@ class TestSimulationWorkerExecution:
         worker = SimulationWorker(job_id=job_id, db_path=clean_db)
 
         # Mock _prepare_data to return the date
-        worker._prepare_data = Mock(return_value=(["2025-01-16"], []))
+        worker._prepare_data = Mock(return_value=(["2025-01-16"], [], {}))
 
         call_count = 0
 
@@ -223,7 +223,7 @@ class TestSimulationWorkerErrorHandling:
         worker = SimulationWorker(job_id=job_id, db_path=clean_db)
 
         # Mock _prepare_data to return the date
-        worker._prepare_data = Mock(return_value=(["2025-01-16"], []))
+        worker._prepare_data = Mock(return_value=(["2025-01-16"], [], {}))
 
         execution_count = 0
 
@@ -298,7 +298,7 @@ class TestSimulationWorkerConcurrency:
         worker = SimulationWorker(job_id=job_id, db_path=clean_db)
 
         # Mock _prepare_data to return the date
-        worker._prepare_data = Mock(return_value=(["2025-01-16"], []))
+        worker._prepare_data = Mock(return_value=(["2025-01-16"], [], {}))
 
         with patch("api.simulation_worker.ModelDayExecutor") as mock_executor_class:
             mock_executor = Mock()
@@ -521,7 +521,7 @@ class TestSimulationWorkerHelperMethods:
         worker.job_manager.get_completed_model_dates = Mock(return_value={})
 
         # Execute
-        available_dates, warnings = worker._prepare_data(
+        available_dates, warnings, completion_skips = worker._prepare_data(
             requested_dates=["2025-10-01"],
             models=["gpt-5"],
             config_path="config.json"
@@ -570,7 +570,7 @@ class TestSimulationWorkerHelperMethods:
         worker.job_manager.get_completed_model_dates = Mock(return_value={})
 
         # Execute
-        available_dates, warnings = worker._prepare_data(
+        available_dates, warnings, completion_skips = worker._prepare_data(
             requested_dates=["2025-10-01"],
             models=["gpt-5"],
             config_path="config.json"