# Result Manager

## Interface Definition

**Interface Name**: `IResultManager`

### Interface Methods

```python
class IResultManager(ABC):
    @abstractmethod
    def update_frame_result(self, flight_id: str, frame_id: int, result: FrameResult) -> bool:
        pass
    
    @abstractmethod
    def publish_to_route_api(self, flight_id: str, frame_id: int) -> bool:
        pass
    
    @abstractmethod
    def get_flight_results(self, flight_id: str) -> FlightResults:
        pass
    
    @abstractmethod
    def mark_refined(self, flight_id: str, frame_ids: List[int]) -> bool:
        pass
    
    @abstractmethod
    def get_changed_frames(self, flight_id: str, since: datetime) -> List[int]:
        pass
```

## Component Description

### Responsibilities
- Manage trajectory results per flight
- Track frame refinements and changes
- Trigger per-frame Route API updates via G03
- Send incremental updates via F14 SSE
- Maintain result versioning for audit trail
- Convert optimized poses to GPS coordinates

### Scope
- Result state management
- Route API integration
- SSE event triggering
- Incremental update detection
- Result persistence

## API Methods

### `update_frame_result(flight_id: str, frame_id: int, result: FrameResult) -> bool`

**Description**: Updates result for a processed frame.

**Called By**:
- Main processing loop (after each frame)
- F10 Factor Graph (after refinement)

**Input**:
```python
flight_id: str
frame_id: int
result: FrameResult:
    gps_center: GPSPoint
    altitude: float
    heading: float
    confidence: float
    timestamp: datetime
    refined: bool
    objects: List[ObjectLocation]  # From external detector
```

**Output**: `bool` - True if updated

**Processing Flow**:
1. Store result in memory/database
2. Call publish_to_route_api()
3. Call G14.send_frame_result()
4. Update flight statistics

**Test Cases**:
1. New frame result → stored and published
2. Refined result → updates existing, marks refined=True

---

### `publish_to_route_api(flight_id: str, frame_id: int) -> bool`

**Description**: Sends frame GPS to Route API via G03 client.

**Called By**:
- Internal (after update_frame_result)

**Input**:
```python
flight_id: str
frame_id: int
```

**Output**: `bool` - True if published successfully

**Processing Flow**:
1. Get result for frame_id
2. Convert to Waypoint format
3. Call G03.update_route_waypoint()
4. Handle errors (retry if transient)

**Test Cases**:
1. Successful publish → Route API updated
2. Route API unavailable → logs error, continues

---

### `get_flight_results(flight_id: str) -> FlightResults`

**Description**: Retrieves all results for a flight.

**Called By**:
- F01 REST API (results endpoint)
- Testing/validation

**Input**: `flight_id: str`

**Output**:
```python
FlightResults:
    flight_id: str
    frames: List[FrameResult]
    statistics: FlightStatistics
```

**Test Cases**:
1. Get all results → returns complete trajectory

---

### `mark_refined(flight_id: str, frame_ids: List[int]) -> bool`

**Description**: Marks frames as refined after batch optimization.

**Called By**:
- F10 Factor Graph (after asynchronous refinement)

**Input**:
```python
flight_id: str
frame_ids: List[int]  # Frames with updated poses
```

**Output**: `bool`

**Processing Flow**:
1. For each frame_id:
   - Get refined pose from F10
   - Convert to GPS via G12
   - Update result with refined=True
   - publish_to_route_api()
   - Call G14.send_refinement()

**Test Cases**:
1. Batch refinement → all frames updated and published

---

### `get_changed_frames(flight_id: str, since: datetime) -> List[int]`

**Description**: Gets frames changed since timestamp (for incremental updates).

**Called By**:
- F14 SSE Event Streamer (for reconnection replay)

**Input**:
```python
flight_id: str
since: datetime
```

**Output**: `List[int]` - Frame IDs changed since timestamp

**Test Cases**:
1. Get changes → returns only modified frames
2. No changes → returns empty list

## Integration Tests

### Test 1: Per-Frame Processing
1. Process frame 237
2. update_frame_result() → stores result
3. Verify publish_to_route_api() called
4. Verify F14 SSE event sent

### Test 2: Batch Refinement
1. Process 100 frames
2. Factor graph refines frames 10-50
3. mark_refined([10-50]) → updates all
4. Verify Route API updated
5. Verify SSE refinement events sent

### Test 3: Incremental Updates
1. Process frames 1-100
2. Client disconnects at frame 50
3. Client reconnects
4. get_changed_frames(since=frame_50_time)
5. Client receives frames 51-100

## Non-Functional Requirements

### Performance
- **update_frame_result**: < 50ms
- **publish_to_route_api**: < 100ms (non-blocking)
- **get_flight_results**: < 200ms for 2000 frames

### Reliability
- Result persistence survives crashes
- Guaranteed at-least-once delivery to Route API
- Idempotent updates

## Dependencies

### Internal Components
- G03 Route API Client
- F10 Factor Graph Optimizer
- F12 Coordinate Transformer
- F14 SSE Event Streamer
- F17 Database Layer

### External Dependencies
- None

## Data Models

### FrameResult
```python
class ObjectLocation(BaseModel):
    object_id: str
    pixel: Tuple[float, float]
    gps: GPSPoint
    class_name: str
    confidence: float

class FrameResult(BaseModel):
    frame_id: int
    gps_center: GPSPoint
    altitude: float
    heading: float
    confidence: float
    timestamp: datetime
    refined: bool
    objects: List[ObjectLocation]
    updated_at: datetime
```

### FlightResults
```python
class FlightStatistics(BaseModel):
    total_frames: int
    processed_frames: int
    refined_frames: int
    mean_confidence: float
    processing_time: float

class FlightResults(BaseModel):
    flight_id: str
    frames: List[FrameResult]
    statistics: FlightStatistics
```