7.5 KiB
Result Manager
Interface Definition
Interface Name: IResultManager
Interface Methods
class IResultManager(ABC):
@abstractmethod
def update_frame_result(self, flight_id: str, frame_id: int, result: FrameResult) -> bool:
pass
@abstractmethod
def publish_waypoint_update(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
@abstractmethod
def update_results_after_chunk_merge(self, flight_id: str, merged_frames: List[int]) -> bool:
pass
Component Description
Responsibilities
- Manage trajectory results per flight
- Track frame refinements and changes
- Store waypoint updates via F03 Flight Database
- Send incremental updates via F15 SSE Event Streamer
- Maintain result versioning for audit trail
- Convert optimized poses to GPS coordinates
Scope
- Result state management
- Flight Database integration (waypoint storage)
- 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:
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:
- Store result via F03 Flight Database.save_frame_result()
- Call publish_waypoint_update()
- Call F15 SSE Event Streamer.send_frame_result()
- Update flight statistics
Test Cases:
- New frame result → stored and published
- Refined result → updates existing, marks refined=True
publish_waypoint_update(flight_id: str, frame_id: int) -> bool
Description: Updates waypoint in Flight Database via F03.
Called By:
- Internal (after update_frame_result)
Input:
flight_id: str
frame_id: int
Output: bool - True if updated successfully
Processing Flow:
- Get result for frame_id
- Convert to Waypoint format
- Call F03 Flight Database.update_waypoint()
- Handle errors (retry if transient)
Test Cases:
- Successful update → Waypoint stored in database
- Database 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:
FlightResults:
flight_id: str
frames: List[FrameResult]
statistics: FlightStatistics
Test Cases:
- 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:
flight_id: str
frame_ids: List[int] # Frames with updated poses
Output: bool
Processing Flow:
- For each frame_id:
- Get refined pose from F10 Factor Graph Optimizer → ENU pose
- Convert ENU pose to GPS via F13 Coordinate Transformer.enu_to_gps(flight_id, enu_pose)
- Update result with refined=True via F03 Flight Database.save_frame_result()
- Update waypoint via F03 Flight Database.update_waypoint()
- Call F15 SSE Event Streamer.send_refinement()
Test Cases:
- 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:
- F15 SSE Event Streamer (for reconnection replay)
Input:
flight_id: str
since: datetime
Output: List[int] - Frame IDs changed since timestamp
Test Cases:
- Get changes → returns only modified frames
- No changes → returns empty list
update_results_after_chunk_merge(flight_id: str, merged_frames: List[int]) -> bool
Description: Updates frame results after chunk merging changes frame poses.
Triggered By:
ChunkMergedevent from F11 (F14 subscribes to this event)- Alternative: F02 Flight Processor can coordinate this call after receiving ChunkMerged event
Input:
flight_id: str
merged_frames: List[int] # Frames whose poses changed due to chunk merge
Output: bool - True if updated successfully
Processing Flow:
- For each frame_id in merged_frames:
- Get updated pose from F10 Factor Graph Optimizer.get_trajectory() → ENU pose
- Convert ENU pose to GPS via F13 Coordinate Transformer.enu_to_gps(flight_id, enu_pose)
- Update frame result via F03 Flight Database.save_frame_result()
- Update waypoint via F03 Flight Database.update_waypoint()
- Send refinement event via F15 SSE Event Streamer.send_refinement()
- Return True
Test Cases:
- Chunk merge updates: All merged frames updated and published
- GPS accuracy: Updated GPS matches optimized poses
Integration Tests
Test 1: Per-Frame Processing
- Process frame 237
- update_frame_result() → stores result
- Verify publish_waypoint_update() called (F03.update_waypoint())
- Verify F15 SSE event sent
Test 2: Batch Refinement
- Process 100 frames
- Factor graph refines frames 10-50
- mark_refined([10-50]) → updates all
- Verify Flight Database updated (F03.batch_update_waypoints())
- Verify SSE refinement events sent
Test 3: Incremental Updates
- Process frames 1-100
- Client disconnects at frame 50
- Client reconnects
- get_changed_frames(since=frame_50_time)
- Client receives frames 51-100
Non-Functional Requirements
Performance
- update_frame_result: < 50ms
- publish_waypoint_update: < 100ms (non-blocking)
- get_flight_results: < 200ms for 2000 frames
Reliability
- Result persistence survives crashes
- Guaranteed at-least-once delivery to Flight Database
- Idempotent updates
Dependencies
Internal Components
- F03 Flight Database: For waypoint and frame result persistence
- F10 Factor Graph Optimizer: For refined pose retrieval
- F13 Coordinate Transformer: For ENU to GPS conversion
- F15 SSE Event Streamer: For real-time result streaming
- F11 Failure Recovery Coordinator: Triggers chunk merge result updates
External Dependencies
- None
Data Models
FrameResult
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
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