Agent backend tests are failing - along with 2 integration test errors

[frankbria]

Here are the test failures:
FAILED tests/agents/test_backend_worker_agent.py::TestBackendWorkerAgentExecution::test_execute_task_success - AssertionError: assert 'failed' == 'completed'
FAILED tests/agents/test_backend_worker_agent.py::TestBackendWorkerAgentExecution::test_execute_task_handles_api_failure - assert 'API timeout' in "AttributeError: 'Issue' object has no attribute 'get'"
FAILED tests/agents/test_backend_worker_agent.py::TestBackendWorkerAgentExecution::test_execute_task_handles_file_operation_failure - assert ('FileNotFoundError' in "AttributeError: 'Issue' object has no attribute 'get'" or 'file' in "attributeerror: 'i...
FAILED tests/agents/test_backend_worker_agent.py::TestBackendWorkerAgentTestRunnerIntegration::test_execute_task_runs_tests_after_code_generation - AssertionError: Expected 'run_tests' to have been called once. Called 0 times.
FAILED tests/agents/test_backend_worker_agent.py::TestBackendWorkerAgentTestRunnerIntegration::test_execute_task_handles_test_failures - AssertionError: assert 'failed' == 'blocked'
FAILED tests/agents/test_backend_worker_agent.py::TestBackendWorkerAgentTestRunnerIntegration::test_execute_task_handles_test_runner_errors - AssertionError: assert 'failed' == 'blocked'
FAILED tests/agents/test_bottleneck_detection.py::TestCalculateWaitTime::test_calculate_wait_time_valid - AttributeError: 'dict' object has no attribute 'created_at'
FAILED tests/agents/test_bottleneck_detection.py::TestCalculateWaitTime::test_calculate_wait_time_zero_minutes - AttributeError: 'dict' object has no attribute 'created_at'
FAILED tests/agents/test_bottleneck_detection.py::TestCalculateWaitTime::test_calculate_wait_time_missing_timestamp - AttributeError: 'dict' object has no attribute 'created_at'
FAILED tests/agents/test_bottleneck_detection.py::TestCalculateWaitTime::test_calculate_wait_time_invalid_timestamp - AttributeError: 'dict' object has no attribute 'created_at'
FAILED tests/agents/test_bottleneck_detection.py::TestCalculateWaitTime::test_calculate_wait_time_future_timestamp - AttributeError: 'dict' object has no attribute 'created_at'
FAILED tests/agents/test_bottleneck_detection.py::TestDetectBottlenecks::test_detect_dependency_wait_bottleneck - assert 0 == 1
FAILED tests/agents/test_bottleneck_detection.py::TestDetectBottlenecks::test_detect_agent_overload_bottleneck - assert False
FAILED tests/agents/test_bottleneck_detection.py::TestDetectBottlenecks::test_detect_agent_idle_bottleneck - assert False
FAILED tests/agents/test_bottleneck_detection.py::TestDetectBottlenecks::test_detect_critical_path_bottleneck - assert False
FAILED tests/agents/test_bottleneck_detection.py::TestDetectBottlenecks::test_detect_multiple_bottlenecks - AssertionError: assert 'dependency_wait' in []
FAILED tests/agents/test_bottleneck_detection.py::TestDetectBottlenecks::test_detect_bottlenecks_returns_recommendations - assert 0 > 0
FAILED tests/agents/test_bottleneck_detection.py::TestDetectBottlenecks::test_bottleneck_has_severity - assert 0 > 0
FAILED tests/agents/test_lead_agent.py::TestLeadAgentTaskAssignment::test_t1_happy_path_valid_task_and_agent - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_lead_agent.py::TestLeadAgentTaskAssignment::test_t8_reassignment_logs_warning - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_lead_agent.py::TestLeadAgentTaskAssignment::test_t10_no_websocket_no_error - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_lead_agent_blocker_handling.py::TestLeadAgentBlockerHandlingIntegration::test_multi_agent_execution_pauses_for_sync_blocker - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::TestMinimalIntegration::test_single_task_execution_minimal - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::TestThreeAgentParallelExecution::test_parallel_execution_three_agents - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::TestComplexDependencyGraph::test_complex_dependency_graph_ten_tasks - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::TestErrorRecovery::test_task_retry_after_failure - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::TestErrorRecovery::test_task_fails_after_max_retries - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::TestConcurrentDatabaseAccess::test_concurrent_task_updates_no_race_conditions - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::test_bottleneck_detection_end_to_end - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::test_bottleneck_detection_during_coordination_loop - TypeError: 'Task' object is not subscriptable
FAILED tests/agents/test_multi_agent_integration.py::test_bottleneck_detection_performance - TypeError: 'Task' object is not subscriptable

Here are the test errors:
ERROR tests/integration/test_dashboard_access.py::TestServerAccess::test_dashboard_accessible_after_serve - RuntimeError: Server process exited with code 1
ERROR tests/integration/test_dashboard_access.py::TestServerAccess::test_serve_command_lifecycle - RuntimeError: Server process exited with code 1

[traycerai]

Plan

Observations

The test failures stem from three main issues: (1) Type mismatch in backend worker agent - Issue objects returned from database are being accessed with dict methods (.get()), (2) Type mismatch in bottleneck detection tests - tests pass dict objects but code expects Task dataclass objects with attribute access, (3) Type mismatch in lead agent tests - tests use subscript notation task['field'] on Task objects that require attribute access task.field, and (4) Server startup failure - likely due to missing dependencies or import errors in the router modules.

Approach

The solution requires fixing type inconsistencies between database return types and their usage patterns. The database methods (get_issue(), get_task(), get_project_tasks()) return dataclass objects (Issue, Task), not dictionaries. Code and tests must use attribute access (.field) instead of dict methods (.get(), ['field']). For the server issue, we need to identify the specific import or initialization error causing the crash. This is a straightforward type consistency fix across the codebase.

Implementation Steps

1. Fix Backend Worker Agent Issue Object Access

File: file:codeframe/agents/backend_worker_agent.py

In the generate_code() method around lines 315-321, change dictionary access to attribute access for the Issue object:

• Line 317: Change issue_context.get('title', 'Unknown') to issue_context.title if issue_context else 'Unknown'
• Line 319: Change issue_context.get('description', 'No description') to issue_context.description if issue_context else 'No description'

The issue_context variable is an Issue dataclass object returned from self.db.get_issue(), not a dictionary.

2. Fix Bottleneck Detection Test Data

File: file:tests/agents/test_bottleneck_detection.py

The tests pass dict objects to detect_bottlenecks() but the code expects Task objects. Update all test methods in TestCalculateWaitTime and TestDetectBottlenecks classes to create proper Task objects instead of dicts:

Replace dict creation patterns like:

task = {"id": 1, "created_at": past.isoformat()}

With Task object creation:

from codeframe.core.models import Task, TaskStatus
task = Task(
    id=1,
    project_id=1,
    task_number="1.1",
    title="Test Task",
    status=TaskStatus.BLOCKED,
    created_at=past
)

Apply this pattern to all test methods that create task data (lines 38-512).

3. Fix Lead Agent Test Task Access

File: file:tests/agents/test_lead_agent.py

In test_t1_happy_path_valid_task_and_agent() around line 486, change subscript access to attribute access:

• Line 486: Change task["assigned_to"] to task.assigned_to
• Line 487: Change task["status"] to task.status.value (since status is a TaskStatus enum)

Apply the same pattern to all other test methods in TestLeadAgentTaskAssignment class that access task fields using subscript notation.

4. Fix Multi-Agent Integration Tests

File: file:tests/agents/test_multi_agent_integration.py

Search for all instances of subscript access on Task objects (pattern: task['field']) and replace with attribute access (task.field). Common fields accessed:

• task['id'] → task.id
• task['status'] → task.status.value
• task['title'] → task.title
• task['assigned_to'] → task.assigned_to

5. Fix Lead Agent Blocker Handling Tests

File: file:tests/agents/test_lead_agent_blocker_handling.py

Apply the same subscript-to-attribute access pattern as step 4 for any Task object access.

6. Investigate and Fix Server Startup Failure

Files: file:codeframe/ui/server.py and router modules in file:codeframe/ui/routers/

The server is crashing during startup (exit code 1). Investigate the following:

1. Check all router imports in server.py lines 20-34 are valid
2. Verify each router module exists and has a router object exported
3. Check for circular import issues
4. Review the lifespan() function (lines 153-194) for initialization errors
5. Examine database initialization and workspace manager setup

Run the server manually with verbose logging to capture the actual error:

uvicorn codeframe.ui.server:app --host 0.0.0.0 --port 8080 --log-level debug

Common issues to check:

• Missing router files or incorrect imports
• Database path issues in test environment
• Missing environment variables
• Import errors in router modules

7. Update Test Fixtures and Mocks

Files: All test files using database mocks

Ensure all mock database methods return proper dataclass objects:

• db.get_task() should return Task objects, not dicts
• db.get_issue() should return Issue objects, not dicts
• db.get_project_tasks() should return List[Task], not List[dict]

Update mock return values in test fixtures to use actual dataclass instances.

Type Consistency Reference

Database Method	Return Type	Access Pattern
get_task(id)	Optional[Task]	task.field
get_issue(id)	Optional[Issue]	issue.field
get_project_tasks(id)	List[Task]	task.field
get_project_issues(id)	List[Issue]	issue.field

Verification Steps

After implementing fixes:

1. Run backend worker agent tests: pytest tests/agents/test_backend_worker_agent.py -v
2. Run bottleneck detection tests: pytest tests/agents/test_bottleneck_detection.py -v
3. Run lead agent tests: pytest tests/agents/test_lead_agent.py -v
4. Run multi-agent integration tests: pytest tests/agents/test_multi_agent_integration.py -v
5. Run integration tests: pytest tests/integration/test_dashboard_access.py -v
6. Verify all 31 test failures are resolved

Import In IDE

🤖 Prompt for AI Agents

## Observations

The test failures stem from three main issues: (1) **Type mismatch in backend worker agent** - `Issue` objects returned from database are being accessed with dict methods (`.get()`), (2) **Type mismatch in bottleneck detection tests** - tests pass dict objects but code expects `Task` dataclass objects with attribute access, (3) **Type mismatch in lead agent tests** - tests use subscript notation `task['field']` on `Task` objects that require attribute access `task.field`, and (4) **Server startup failure** - likely due to missing dependencies or import errors in the router modules.

## Approach

The solution requires fixing type inconsistencies between database return types and their usage patterns. The database methods (`get_issue()`, `get_task()`, `get_project_tasks()`) return dataclass objects (`Issue`, `Task`), not dictionaries. Code and tests must use attribute access (`.field`) instead of dict methods (`.get()`, `['field']`). For the server issue, we need to identify the specific import or initialization error causing the crash. This is a straightforward type consistency fix across the codebase.

## Implementation Steps

### 1. Fix Backend Worker Agent Issue Object Access

**File:** `file:codeframe/agents/backend_worker_agent.py`

In the `generate_code()` method around lines 315-321, change dictionary access to attribute access for the `Issue` object:

- Line 317: Change `issue_context.get('title', 'Unknown')` to `issue_context.title if issue_context else 'Unknown'`
- Line 319: Change `issue_context.get('description', 'No description')` to `issue_context.description if issue_context else 'No description'`

The `issue_context` variable is an `Issue` dataclass object returned from `self.db.get_issue()`, not a dictionary.

### 2. Fix Bottleneck Detection Test Data

**File:** `file:tests/agents/test_bottleneck_detection.py`

The tests pass dict objects to `detect_bottlenecks()` but the code expects `Task` objects. Update all test methods in `TestCalculateWaitTime` and `TestDetectBottlenecks` classes to create proper `Task` objects instead of dicts:

Replace dict creation patterns like:
```python
task = {"id": 1, "created_at": past.isoformat()}
```

With `Task` object creation:
```python
from codeframe.core.models import Task, TaskStatus
task = Task(
    id=1,
    project_id=1,
    task_number="1.1",
    title="Test Task",
    status=TaskStatus.BLOCKED,
    created_at=past
)
```

Apply this pattern to all test methods that create task data (lines 38-512).

### 3. Fix Lead Agent Test Task Access

**File:** `file:tests/agents/test_lead_agent.py`

In `test_t1_happy_path_valid_task_and_agent()` around line 486, change subscript access to attribute access:

- Line 486: Change `task["assigned_to"]` to `task.assigned_to`
- Line 487: Change `task["status"]` to `task.status.value` (since status is a `TaskStatus` enum)

Apply the same pattern to all other test methods in `TestLeadAgentTaskAssignment` class that access task fields using subscript notation.

### 4. Fix Multi-Agent Integration Tests

**File:** `file:tests/agents/test_multi_agent_integration.py`

Search for all instances of subscript access on `Task` objects (pattern: `task['field']`) and replace with attribute access (`task.field`). Common fields accessed:
- `task['id']` → `task.id`
- `task['status']` → `task.status.value`
- `task['title']` → `task.title`
- `task['assigned_to']` → `task.assigned_to`

### 5. Fix Lead Agent Blocker Handling Tests

**File:** `file:tests/agents/test_lead_agent_blocker_handling.py`

Apply the same subscript-to-attribute access pattern as step 4 for any `Task` object access.

### 6. Investigate and Fix Server Startup Failure

**Files:** `file:codeframe/ui/server.py` and router modules in `file:codeframe/ui/routers/`

The server is crashing during startup (exit code 1). Investigate the following:

1. Check all router imports in `server.py` lines 20-34 are valid
2. Verify each router module exists and has a `router` object exported
3. Check for circular import issues
4. Review the `lifespan()` function (lines 153-194) for initialization errors
5. Examine database initialization and workspace manager setup

Run the server manually with verbose logging to capture the actual error:
```bash
uvicorn codeframe.ui.server:app --host 0.0.0.0 --port 8080 --log-level debug
```

Common issues to check:
- Missing router files or incorrect imports
- Database path issues in test environment
- Missing environment variables
- Import errors in router modules

### 7. Update Test Fixtures and Mocks

**Files:** All test files using database mocks

Ensure all mock database methods return proper dataclass objects:
- `db.get_task()` should return `Task` objects, not dicts
- `db.get_issue()` should return `Issue` objects, not dicts
- `db.get_project_tasks()` should return `List[Task]`, not `List[dict]`

Update mock return values in test fixtures to use actual dataclass instances.

## Type Consistency Reference

| Database Method | Return Type | Access Pattern |
|----------------|-------------|----------------|
| `get_task(id)` | `Optional[Task]` | `task.field` |
| `get_issue(id)` | `Optional[Issue]` | `issue.field` |
| `get_project_tasks(id)` | `List[Task]` | `task.field` |
| `get_project_issues(id)` | `List[Issue]` | `issue.field` |

## Verification Steps

After implementing fixes:

1. Run backend worker agent tests: `pytest tests/agents/test_backend_worker_agent.py -v`
2. Run bottleneck detection tests: `pytest tests/agents/test_bottleneck_detection.py -v`
3. Run lead agent tests: `pytest tests/agents/test_lead_agent.py -v`
4. Run multi-agent integration tests: `pytest tests/agents/test_multi_agent_integration.py -v`
5. Run integration tests: `pytest tests/integration/test_dashboard_access.py -v`
6. Verify all 31 test failures are resolved

---

Execution Information

Branch: main
Commit: 921fa70

---

💡 Tips

Supported Commands (Inside Comments)

• Use @traycerai generate to iterate on the previous version of the implementation plan.

Supported Commands (Inside Description)

• Add @traycerai ignore anywhere in the ticket description to prevent this ticket from being processed.
• Add @traycerai branch:<branch-name> anywhere in the ticket description to specify the target branch for the implementation plan.

Community

• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[coderabbitai]

📝 CodeRabbit Plan Mode

Generate an implementation plan and prompts that you can use with your favorite coding agent.

• Create Plan

Examples

• Example 1
• Example 2

---

🔗 Similar Issues

Possible Duplicates

• [P1] Implement WorkerAgent.execute_task() with Anthropic API integration #98

Related Issues

• Fix backend API test errors #143
• [Phase 3→4] Add edge case testing across core components #114
• [Phase 5] Add performance and load testing benchmarks #115
• [P2] Replace mocked unit tests with real integration tests #113

🔗 Related PRs

#3 - feat(sprint-4): Multi-Agent Coordination System - P0 & P1 Complete [merged]
#22 - fix: Reorganize test suite and fix API test failures [merged]
#28 - feat: Complete session lifecycle implementation and fix integration tests [merged]
#34 - feat(agents): SDK Migration Phase 3 - Agent Pattern Migration [merged]
#125 - Implement WorkerAgent execute_task method [merged]

👤 Suggested Assignees

• frankbria

---

🧪 Issue enrichment is currently in open beta.

You can configure auto-planning by selecting labels in the issue_enrichment configuration.

To disable automatic issue enrichment, add the following to your .coderabbit.yaml:

issue_enrichment:
  auto_enrich:
    enabled: false

💬 Have feedback or questions? Drop into our discord or schedule a call!