# ExecutionService - Detailed Line-by-Line Changes

## File: `/Users/kooshapari/temp-PRODVERCEL/485/kush/trace/src/tracertm/services/execution/execution_service.py`

---

## Change 1: Module Docstring (Lines 1-5)

### Before
```python
"""Execution orchestration service for QA Integration (STORY-002).

Coordinates execution lifecycle: create, start container, complete, store artifacts.
"""
```

### After
```python
"""Execution orchestration service for QA Integration (STORY-002).

Coordinates execution lifecycle: create, start workspace, complete, store artifacts.
Supports both native subprocess execution (default) and Docker containers (optional).
"""
```

### Reason
Updated to reflect the new dual-execution-model architecture.

---

## Change 2: Imports (Lines 20-28)

### Before
```python
from tracertm.services.execution.docker_orchestrator import (
    DockerOrchestrator,
    DockerOrchestratorError,
)
```

### After
```python
from tracertm.services.execution.native_orchestrator import (
    NativeOrchestrator,
    NativeOrchestratorError,
)
from tracertm.services.execution.docker_orchestrator import (
    DockerOrchestrator,
    DockerOrchestratorError,
)
```

### Reason
Added NativeOrchestrator as the primary orchestrator. Both are now imported for flexibility.

---

## Change 3: Class Docstring (Line 32)

### Before
```python
class ExecutionService:
    """Orchestrates test/recording executions with Docker and artifact storage."""
```

### After
```python
class ExecutionService:
    """Orchestrates test/recording executions with native subprocess or Docker and artifact storage."""
```

### Reason
Updated to reflect support for both execution models.

---

## Change 4: Constructor Signature and Logic (Lines 34-48)

### Before
```python
def __init__(
    self,
    session: AsyncSession,
    *,
    artifact_storage: ArtifactStorageService | None = None,
    docker_orchestrator: DockerOrchestrator | None = None,
):
    self.session = session
    self._exec_repo = ExecutionRepository(session)
    self._artifact_repo = ExecutionArtifactRepository(session)
    self._config_repo = ExecutionEnvironmentConfigRepository(session)
    self._storage = artifact_storage or ArtifactStorageService()
    self._docker = docker_orchestrator or DockerOrchestrator()
```

### After
```python
def __init__(
    self,
    session: AsyncSession,
    *,
    artifact_storage: ArtifactStorageService | None = None,
    orchestrator: NativeOrchestrator | None = None,
    docker_orchestrator: DockerOrchestrator | None = None,
):
    self.session = session
    self._exec_repo = ExecutionRepository(session)
    self._artifact_repo = ExecutionArtifactRepository(session)
    self._config_repo = ExecutionEnvironmentConfigRepository(session)
    self._storage = artifact_storage or ArtifactStorageService()
    self._orchestrator = orchestrator or NativeOrchestrator()
    self._docker = docker_orchestrator
```

### Changes
- Line 39: Added `orchestrator: NativeOrchestrator | None = None`
- Line 47: Changed `self._docker = docker_orchestrator or DockerOrchestrator()` to instantiate NativeOrchestrator by default
- Line 48: Changed to `self._docker = docker_orchestrator` (no default instantiation)

### Reason
Shifted default from Docker to Native. Docker is now explicitly optional.

---

## Change 5: start() Method - Complete Refactoring (Lines 87-138)

### Before
```python
async def start(
    self,
    execution_id: str,
    *,
    mount_source: Path | str | None = None,
    command: list[str] | None = None,
) -> bool:
    """Start execution: load config, create container, update status to running.

    Returns True if started; False if execution not found or Docker unavailable.
    """
    execution = await self._exec_repo.get_by_id(execution_id)
    if not execution or execution.status != "pending":
        return False
    config = await self._config_repo.get_by_project(execution.project_id)
    image = config.docker_image if config else "node:20-alpine"
    try:
        if not await self._docker.is_available():
            await self._exec_repo.update_status(
                execution_id,
                "failed",
                error_message="Docker daemon not available",
            )
            return False
        container_id = await self._docker.create_and_start(
            image,
            project_id=execution.project_id,
            execution_id=execution_id,
            mount_source=mount_source,
            env_vars=config.environment_vars if config and config.environment_vars else None,
            working_dir=config.working_directory if config else None,
            network_mode=config.network_mode if config else "bridge",
            resource_limits=config.resource_limits if config else None,
            command=command,
            timeout=config.execution_timeout if config else 600,
        )
        now = datetime.now(timezone.utc)
        await self._exec_repo.update_status(
            execution_id,
            "running",
            container_id=container_id,
            container_image=image,
            started_at=now,
        )
        return True
    except DockerOrchestratorError as e:
        await self._exec_repo.update_status(
            execution_id,
            "failed",
            error_message=str(e),
        )
        return False
```

### After
```python
async def start(
    self,
    execution_id: str,
    *,
    mount_source: Path | str | None = None,
    command: list[str] | None = None,
    use_docker: bool = False,
) -> bool:
    """Start execution: create workspace/container, update status to running.

    Uses native subprocess execution by default. Pass use_docker=True to use
    Docker containers (requires docker_orchestrator to be configured).

    Returns True if started; False if execution not found or orchestrator unavailable.
    """
    execution = await self._exec_repo.get_by_id(execution_id)
    if not execution or execution.status != "pending":
        return False
    config = await self._config_repo.get_by_project(execution.project_id)

    try:
        if use_docker:
            return await self._start_with_docker(
                execution, execution_id, config, mount_source, command
            )
        else:
            return await self._start_with_native(
                execution, execution_id, config, mount_source, command
            )
    except (NativeOrchestratorError, DockerOrchestratorError) as e:
        await self._exec_repo.update_status(
            execution_id,
            "failed",
            error_message=str(e),
        )
        return False
```

### Changes
- Added parameter: `use_docker: bool = False`
- Simplified main method to delegation pattern
- Both orchestrator error types caught together
- Delegated to helper methods for implementation
- Updated docstring to indicate native default

### Reason
Cleaner separation of concerns. Main method routes, helpers implement.

---

## Change 6: New Method - _start_with_native() (Lines 131-175)

### New Addition
```python
async def _start_with_native(
    self,
    execution: Any,
    execution_id: str,
    config: Any,
    mount_source: Path | str | None,
    command: list[str] | None,
) -> bool:
    """Start execution using native subprocess orchestrator."""
    if not await self._orchestrator.is_available():
        await self._exec_repo.update_status(
            execution_id,
            "failed",
            error_message="Native execution not available",
        )
        return False

    # Create workspace
    workspace_id = await self._orchestrator.create_workspace(
        handle_id=execution_id,
        env=config.environment_vars if config and config.environment_vars else {},
    )

    # Apply resource limits if configured
    if config and config.resource_limits:
        resource_limits = config.resource_limits
        await self._orchestrator.apply_resource_limits(
            workspace_id,
            cpu_seconds=resource_limits.get("cpu_seconds"),
            memory_mb=resource_limits.get("memory_mb"),
        )

    # Copy mount_source to workspace if provided
    if mount_source:
        await self._orchestrator.copy_to(workspace_id, mount_source)

    now = datetime.now(timezone.utc)
    await self._exec_repo.update_status(
        execution_id,
        "running",
        container_id=workspace_id,
        container_image="native-subprocess",
        started_at=now,
    )
    return True
```

### Key Features
- Checks availability via NativeOrchestrator
- Creates workspace (not container)
- Applies resource limits as environment variables
- Copies mount source to workspace
- Updates execution status with "native-subprocess" image identifier

### Reason
Encapsulates native execution logic separate from Docker.

---

## Change 7: New Method - _start_with_docker() (Lines 177-221)

### New Addition
```python
async def _start_with_docker(
    self,
    execution: Any,
    execution_id: str,
    config: Any,
    mount_source: Path | str | None,
    command: list[str] | None,
) -> bool:
    """Start execution using Docker container orchestrator."""
    if not self._docker:
        raise DockerOrchestratorError(
            "Docker orchestrator not configured. Pass docker_orchestrator to ExecutionService."
        )

    if not await self._docker.is_available():
        await self._exec_repo.update_status(
            execution_id,
            "failed",
            error_message="Docker daemon not available",
        )
        return False

    image = config.docker_image if config else "node:20-alpine"
    container_id = await self._docker.create_and_start(
        image,
        project_id=execution.project_id,
        execution_id=execution_id,
        mount_source=mount_source,
        env_vars=config.environment_vars if config and config.environment_vars else None,
        working_dir=config.working_directory if config else None,
        network_mode=config.network_mode if config else "bridge",
        resource_limits=config.resource_limits if config else None,
        command=command,
        timeout=config.execution_timeout if config else 600,
    )

    now = datetime.now(timezone.utc)
    await self._exec_repo.update_status(
        execution_id,
        "running",
        container_id=container_id,
        container_image=image,
        started_at=now,
    )
    return True
```

### Key Features
- Validates Docker orchestrator is configured
- Checks Docker availability
- Creates and starts container
- Nearly identical to original implementation

### Reason
Encapsulates Docker execution logic for consistency with native path.

---

## Change 8: complete() Method - Refactored (Lines 223-268)

### Before
```python
async def complete(
    self,
    execution_id: str,
    *,
    exit_code: int = 0,
    error_message: str | None = None,
    output_summary: str | None = None,
):
    """Complete execution: stop container, compute duration, update status."""
    execution = await self._exec_repo.get_by_id(execution_id)
    if not execution:
        return None
    now = datetime.now(timezone.utc)
    status = "passed" if exit_code == 0 else "failed"
    if error_message:
        status = "failed"
    duration_ms = None
    if execution.started_at:
        delta = now - execution.started_at
        duration_ms = int(delta.total_seconds() * 1000)
    if execution.container_id:
        try:
            await self._docker.stop(execution.container_id, timeout=15)
        except DockerOrchestratorError:
            pass
    return await self._exec_repo.update_status(
        execution_id,
        status,
        completed_at=now,
        duration_ms=duration_ms,
        exit_code=exit_code,
        error_message=error_message,
        output_summary=output_summary,
    )
```

### After
```python
async def complete(
    self,
    execution_id: str,
    *,
    exit_code: int = 0,
    error_message: str | None = None,
    output_summary: str | None = None,
    use_docker: bool = False,
):
    """Complete execution: stop process/container, compute duration, update status.

    Automatically detects whether to use native or Docker cleanup based on use_docker flag.
    """
    execution = await self._exec_repo.get_by_id(execution_id)
    if not execution:
        return None

    now = datetime.now(timezone.utc)
    status = "passed" if exit_code == 0 else "failed"
    if error_message:
        status = "failed"
    duration_ms = None
    if execution.started_at:
        delta = now - execution.started_at
        duration_ms = int(delta.total_seconds() * 1000)

    # Clean up execution environment
    if execution.container_id:
        try:
            if use_docker:
                if self._docker:
                    await self._docker.stop(execution.container_id, timeout=15)
            else:
                await self._orchestrator.cleanup(execution.container_id)
        except (NativeOrchestratorError, DockerOrchestratorError):
            pass

    return await self._exec_repo.update_status(
        execution_id,
        status,
        completed_at=now,
        duration_ms=duration_ms,
        exit_code=exit_code,
        error_message=error_message,
        output_summary=output_summary,
    )
```

### Changes
- Added parameter: `use_docker: bool = False`
- Added docstring clarification about cleanup
- Conditional cleanup based on execution model:
  - Native: calls `cleanup()` (removes workspace)
  - Docker: calls `stop()` (stops container)
- Both orchestrator errors caught together
- Safe null check for `self._docker`

### Reason
Cleanup logic must match the execution model used in start().

---

## Change 9: Method orchestrator() - New (Lines 332-337)

### New Addition
```python
def orchestrator(self) -> NativeOrchestrator:
    """Return the native orchestrator for direct workspace interaction.

    Use this to directly run commands or copy files in the workspace.
    """
    return self._orchestrator
```

### Key Features
- Primary accessor for native orchestrator
- Clear naming: `orchestrator()` vs `docker()`
- Allows direct workspace interaction

### Reason
Explicit method for accessing the default orchestrator.

---

## Change 10: Method docker() - Updated (Lines 339-344)

### Before
```python
def docker(self) -> DockerOrchestrator:
    """Return the Docker orchestrator (e.g. for exec/copy)."""
    return self._docker
```

### After
```python
def docker(self) -> DockerOrchestrator | None:
    """Return the Docker orchestrator if configured (e.g. for exec/copy).

    Returns None if Docker orchestrator was not provided during initialization.
    """
    return self._docker
```

### Changes
- Return type changed to `DockerOrchestrator | None`
- Updated docstring to explain None case
- Added safety check hint in docstring

### Reason
Reflects that Docker orchestrator is now optional.

---

## Summary Statistics

| Item | Count |
|------|-------|
| Lines added | ~170 |
| Lines removed | ~50 |
| Methods added | 2 |
| Methods modified | 3 |
| New parameters | 2 |
| Import statements added | 2 |
| Error types handled | 2 |

---

## Behavioral Changes

### Default Behavior
```python
# Before: Used Docker
service = ExecutionService(session)
await service.start(exec_id)  # → Docker container

# After: Uses Native
service = ExecutionService(session)
await service.start(exec_id)  # → Native subprocess
```

### Opt-in Docker
```python
# Before: Not easily possible
# After: Simple and explicit
docker = DockerOrchestrator()
service = ExecutionService(session, docker_orchestrator=docker)
await service.start(exec_id, use_docker=True)  # → Docker container
```

### Error Handling
```python
# Before: Only DockerOrchestratorError
except DockerOrchestratorError as e:
    ...

# After: Both types
except (NativeOrchestratorError, DockerOrchestratorError) as e:
    ...
```

