mirror of
https://github.com/azaion/gps-denied-desktop.git
synced 2026-04-23 00:26:36 +00:00
add chunking
This commit is contained in:
Oleksandr Bezdieniezhnykh
@@ -0,0 +1,617 @@
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# Route Chunk Manager
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## Interface Definition
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**Interface Name**: `IRouteChunkManager`
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### Interface Methods
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```python
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class IRouteChunkManager(ABC):
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@abstractmethod
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def create_chunk(self, flight_id: str, start_frame_id: int) -> ChunkHandle:
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pass
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@abstractmethod
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def add_frame_to_chunk(self, chunk_id: str, frame_id: int, vo_result: RelativePose) -> bool:
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pass
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@abstractmethod
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def get_chunk_frames(self, chunk_id: str) -> List[int]:
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pass
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@abstractmethod
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def get_chunk_images(self, chunk_id: str) -> List[np.ndarray]:
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pass
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@abstractmethod
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def get_chunk_composite_descriptor(self, chunk_id: str) -> np.ndarray:
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pass
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@abstractmethod
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def get_chunk_bounds(self, chunk_id: str) -> ChunkBounds:
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pass
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@abstractmethod
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def is_chunk_ready_for_matching(self, chunk_id: str) -> bool:
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pass
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@abstractmethod
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def mark_chunk_anchored(self, chunk_id: str, frame_id: int, gps: GPSPoint) -> bool:
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pass
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@abstractmethod
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def get_chunks_for_matching(self, flight_id: str) -> List[ChunkHandle]:
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pass
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@abstractmethod
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def get_active_chunk(self, flight_id: str) -> Optional[ChunkHandle]:
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pass
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@abstractmethod
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def deactivate_chunk(self, chunk_id: str) -> bool:
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pass
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@abstractmethod
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def merge_chunks(self, chunk_id_1: str, chunk_id_2: str, transform: Sim3Transform) -> bool:
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pass
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@abstractmethod
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def mark_chunk_matching(self, chunk_id: str) -> bool:
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pass
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```
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## Component Description
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### Responsibilities
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- Manage chunk lifecycle (creation, activation, deactivation, merging)
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- Track chunk state (frames, anchors, matching status)
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- Coordinate chunk semantic matching and LiteSAM matching
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- Provide chunk representations for matching (composite images, descriptors)
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- Determine chunk readiness for matching (min frames, consistency)
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### Scope
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- Chunk lifecycle management
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- Chunk state tracking
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- Chunk representation generation (descriptors, bounds)
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- Integration point for chunk matching coordination
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## API Methods
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### `create_chunk(flight_id: str, start_frame_id: int) -> ChunkHandle`
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**Description**: Creates a new route chunk and initializes it in the factor graph.
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**Called By**:
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- F02 Flight Processor (when tracking lost)
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- F11 Failure Recovery Coordinator (proactive chunk creation)
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**Input**:
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```python
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flight_id: str
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start_frame_id: int # First frame in chunk
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```
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**Output**:
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```python
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ChunkHandle:
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chunk_id: str
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flight_id: str
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start_frame_id: int
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end_frame_id: Optional[int]
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frames: List[int]
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is_active: bool
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has_anchor: bool
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anchor_frame_id: Optional[int]
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anchor_gps: Optional[GPSPoint]
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matching_status: str
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```
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**Processing Flow**:
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1. Generate unique chunk_id
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2. Call F10 Factor Graph Optimizer.create_new_chunk()
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3. Initialize chunk state (unanchored, active)
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4. Store chunk metadata
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5. Return ChunkHandle
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**Test Cases**:
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1. **Create chunk**: Returns ChunkHandle with is_active=True
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2. **Multiple chunks**: Can create multiple chunks for same flight
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3. **Chunk initialization**: Chunk initialized in factor graph
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---
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### `add_frame_to_chunk(chunk_id: str, frame_id: int, vo_result: RelativePose) -> bool`
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**Description**: Adds a frame to an existing chunk with its VO result.
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**Called By**:
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- F02 Flight Processor (during frame processing)
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**Input**:
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```python
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chunk_id: str
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frame_id: int
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vo_result: RelativePose # From F07 Sequential VO
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```
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**Output**:
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```python
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bool: True if frame added successfully
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```
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**Processing Flow**:
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1. Verify chunk exists and is active
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2. Add frame_id to chunk's frames list
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3. Store vo_result for chunk
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4. Call F10.add_relative_factor_to_chunk()
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5. Update chunk's end_frame_id
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6. Check if chunk ready for matching
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**Test Cases**:
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1. **Add frame to active chunk**: Frame added successfully
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2. **Add frame to inactive chunk**: Returns False
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3. **Chunk growth**: Chunk frames list updated
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---
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### `get_chunk_frames(chunk_id: str) -> List[int]`
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**Description**: Retrieves list of frame IDs in a chunk.
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**Called By**:
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- F08 Global Place Recognition (for chunk descriptor computation)
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- F09 Metric Refinement (for chunk LiteSAM matching)
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- F11 Failure Recovery Coordinator (chunk state queries)
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**Input**:
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```python
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chunk_id: str
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```
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**Output**:
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```python
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List[int] # Frame IDs in chunk, ordered by sequence
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```
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**Test Cases**:
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1. **Get frames**: Returns all frames in chunk
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2. **Empty chunk**: Returns empty list
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3. **Ordered frames**: Frames returned in sequence order
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---
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### `get_chunk_images(chunk_id: str) -> List[np.ndarray]`
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**Description**: Retrieves images for all frames in a chunk.
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**Called By**:
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- F08 Global Place Recognition (chunk descriptor computation)
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- F09 Metric Refinement (chunk LiteSAM matching)
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- F06 Image Rotation Manager (chunk rotation)
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**Input**:
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```python
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chunk_id: str
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```
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**Output**:
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```python
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List[np.ndarray] # Images for each frame in chunk
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```
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**Processing Flow**:
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1. Get chunk frames via get_chunk_frames()
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2. Load images from F05 Image Input Pipeline
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3. Return list of images
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**Test Cases**:
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1. **Get images**: Returns all images in chunk
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2. **Image loading**: Images loaded correctly from pipeline
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3. **Order consistency**: Images match frame order
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---
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### `get_chunk_composite_descriptor(chunk_id: str) -> np.ndarray`
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**Description**: Computes aggregate DINOv2 descriptor for chunk (for semantic matching).
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**Called By**:
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- F08 Global Place Recognition (chunk semantic matching)
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**Input**:
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```python
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chunk_id: str
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```
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**Output**:
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```python
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np.ndarray: Aggregated descriptor vector (4096-dim or 8192-dim)
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```
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**Processing Flow**:
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1. Get chunk images via get_chunk_images()
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2. Call F08.compute_chunk_descriptor(chunk_images) → aggregate descriptor
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3. Return composite descriptor
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**Delegation**:
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- Delegates to F08.compute_chunk_descriptor() for descriptor computation
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- F08 handles aggregation logic (mean, VLAD, or max)
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- Single source of truth for chunk descriptor computation
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**Test Cases**:
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1. **Compute descriptor**: Returns aggregated descriptor
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2. **Multiple images**: Descriptor aggregates correctly
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3. **Descriptor quality**: More robust than single-image descriptor
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---
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### `get_chunk_bounds(chunk_id: str) -> ChunkBounds`
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**Description**: Estimates GPS bounds of a chunk based on VO trajectory.
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**Called By**:
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- F11 Failure Recovery Coordinator (for tile search area)
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- F04 Satellite Data Manager (for tile prefetching)
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**Input**:
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```python
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chunk_id: str
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```
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**Output**:
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```python
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ChunkBounds:
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estimated_center: GPSPoint
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estimated_radius: float # meters
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confidence: float
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```
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**Processing Flow**:
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1. Get chunk trajectory from F10.get_chunk_trajectory()
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2. If chunk has anchor:
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- Use anchor GPS as center
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- Compute radius from trajectory extent
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3. If chunk unanchored:
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- Estimate center from VO trajectory (relative to start)
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- Use dead-reckoning estimate
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- Lower confidence
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4. Return ChunkBounds
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**Test Cases**:
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1. **Anchored chunk**: Returns accurate bounds with high confidence
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2. **Unanchored chunk**: Returns estimated bounds with lower confidence
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3. **Bounds calculation**: Radius computed from trajectory extent
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---
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### `is_chunk_ready_for_matching(chunk_id: str) -> bool`
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**Description**: Determines if chunk has enough frames and consistency for matching.
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**Called By**:
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- F11 Failure Recovery Coordinator (before attempting matching)
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- Background matching task
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**Input**:
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```python
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chunk_id: str
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```
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**Output**:
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```python
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bool: True if chunk ready for matching
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```
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**Criteria**:
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- **Min frames**: >= 5 frames (configurable)
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- **Max frames**: <= 20 frames (configurable, prevents oversized chunks)
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- **Internal consistency**: VO factors have reasonable inlier counts
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- **Not already matched**: matching_status != "anchored" or "merged"
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**Test Cases**:
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1. **Ready chunk**: 10 frames, good consistency → True
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2. **Too few frames**: 3 frames → False
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3. **Already anchored**: has_anchor=True → False
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---
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### `mark_chunk_anchored(chunk_id: str, frame_id: int, gps: GPSPoint) -> bool`
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**Description**: Marks chunk as anchored with GPS coordinate.
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**Called By**:
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- F11 Failure Recovery Coordinator (after successful chunk matching)
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**Input**:
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```python
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chunk_id: str
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frame_id: int # Frame within chunk that was anchored
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gps: GPSPoint
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```
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**Output**:
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```python
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bool: True if marked successfully
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```
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**Processing Flow**:
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1. Verify chunk exists
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2. Call F10.add_chunk_anchor()
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3. Update chunk state (has_anchor=True, anchor_frame_id, anchor_gps)
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4. Update matching_status to "anchored"
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5. Trigger chunk optimization
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**Test Cases**:
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1. **Mark anchored**: Chunk state updated correctly
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2. **Anchor in factor graph**: F10 anchor added
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3. **Chunk optimization**: Chunk optimized after anchoring
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---
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### `get_chunks_for_matching(flight_id: str) -> List[ChunkHandle]`
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**Description**: Retrieves all unanchored chunks ready for matching.
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**Called By**:
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- F11 Failure Recovery Coordinator (background matching task)
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- Background processing task
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**Input**:
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```python
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flight_id: str
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```
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**Output**:
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```python
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List[ChunkHandle] # Unanchored chunks ready for matching
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```
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**Processing Flow**:
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1. Get all chunks for flight_id
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2. Filter chunks where:
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- has_anchor == False
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- is_chunk_ready_for_matching() == True
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- matching_status == "unanchored" or "matching"
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3. Return filtered list
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**Test Cases**:
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1. **Get unanchored chunks**: Returns ready chunks
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2. **Filter criteria**: Only returns chunks meeting criteria
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3. **Empty result**: Returns empty list if no ready chunks
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---
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### `get_active_chunk(flight_id: str) -> Optional[ChunkHandle]`
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**Description**: Gets the currently active chunk for a flight.
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**Called By**:
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- F02 Flight Processor (before processing frame)
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**Input**:
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```python
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flight_id: str
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```
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**Output**:
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```python
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Optional[ChunkHandle] # Active chunk or None
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```
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**Test Cases**:
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1. **Get active chunk**: Returns active chunk
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2. **No active chunk**: Returns None
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3. **Multiple chunks**: Returns only active chunk
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---
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### `deactivate_chunk(chunk_id: str) -> bool`
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**Description**: Deactivates a chunk (typically after merging or completion).
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**Called By**:
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- F11 Failure Recovery Coordinator (after chunk merged)
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- F02 Flight Processor (chunk lifecycle)
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**Input**:
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```python
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chunk_id: str
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```
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**Output**:
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```python
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bool: True if deactivated successfully
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```
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**Processing Flow**:
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1. Verify chunk exists
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2. Update chunk state (is_active=False)
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3. Update matching_status to "merged" if merged
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4. Return True
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**Test Cases**:
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1. **Deactivate chunk**: Chunk marked inactive
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2. **After merge**: Matching status updated to "merged"
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---
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### `merge_chunks(chunk_id_1: str, chunk_id_2: str, transform: Sim3Transform) -> bool`
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**Description**: Coordinates chunk merging by validating chunks, calling F10 for factor graph merge, and updating chunk states.
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**Called By**:
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- F11 Failure Recovery Coordinator (after successful chunk matching)
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**Input**:
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```python
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chunk_id_1: str # Source chunk (typically newer, to be merged)
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chunk_id_2: str # Target chunk (typically older, merged into)
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transform: Sim3Transform:
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translation: np.ndarray # (3,)
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rotation: np.ndarray # (3, 3) or quaternion
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scale: float
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```
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**Output**:
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```python
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bool: True if merge successful
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```
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**Processing Flow**:
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1. Verify both chunks exist
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2. Verify chunk_id_1 is anchored (has_anchor=True)
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3. Validate chunks can be merged (not already merged, not same chunk)
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4. Call F10.merge_chunks(chunk_id_1, chunk_id_2, transform)
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5. Update chunk_id_1 state:
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- Set is_active=False
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- Set matching_status="merged"
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- Call deactivate_chunk(chunk_id_1)
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6. Update chunk_id_2 state (if needed)
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7. Return True
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**Validation**:
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- Both chunks must exist
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- chunk_id_1 must be anchored
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- chunk_id_1 must not already be merged
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- chunk_id_1 and chunk_id_2 must be different
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**Test Cases**:
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1. **Merge anchored chunks**: Chunks merged successfully, chunk_id_1 deactivated
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2. **Merge unanchored chunk**: Returns False (validation fails)
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3. **Merge already merged chunk**: Returns False (validation fails)
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4. **State updates**: chunk_id_1 marked as merged and deactivated
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---
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### `mark_chunk_matching(chunk_id: str) -> bool`
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**Description**: Explicitly marks chunk as being matched (updates matching_status to "matching").
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**Called By**:
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- F11 Failure Recovery Coordinator (when chunk matching starts)
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**Input**:
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||||
```python
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chunk_id: str
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```
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**Output**:
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```python
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bool: True if marked successfully
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```
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**Processing Flow**:
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1. Verify chunk exists
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2. Verify chunk is unanchored (has_anchor=False)
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3. Update matching_status to "matching"
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4. Return True
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**State Transition**:
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- `unanchored` → `matching` (explicit transition)
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**Test Cases**:
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1. **Mark unanchored chunk**: Status updated to "matching"
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2. **Mark already anchored chunk**: Returns False (invalid state)
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3. **Mark non-existent chunk**: Returns False
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## Integration Tests
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||||
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### Test 1: Chunk Lifecycle
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1. create_chunk() → chunk created
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2. add_frame_to_chunk() × 10 → 10 frames added
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3. is_chunk_ready_for_matching() → True
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4. mark_chunk_anchored() → chunk anchored
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5. deactivate_chunk() → chunk deactivated
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### Test 2: Chunk Descriptor Computation
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1. Create chunk with 10 frames
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2. get_chunk_images() → 10 images
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3. get_chunk_composite_descriptor() → aggregated descriptor
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4. Verify descriptor more robust than single-image descriptor
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||||
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### Test 3: Multiple Chunks
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1. Create chunk_1 (frames 1-10)
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2. Create chunk_2 (frames 20-30)
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3. get_chunks_for_matching() → returns both chunks
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4. mark_chunk_anchored(chunk_1) → chunk_1 anchored
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5. get_chunks_for_matching() → returns only chunk_2
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||||
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||||
### Test 4: Chunk Merging
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||||
1. Create chunk_1 (frames 1-10), chunk_2 (frames 20-30)
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||||
2. Anchor chunk_1 via mark_chunk_anchored()
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||||
3. merge_chunks(chunk_1, chunk_2, transform) → chunks merged
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||||
4. Verify chunk_1 marked as merged and deactivated
|
||||
5. Verify F10 merge_chunks() called
|
||||
|
||||
### Test 5: Chunk Matching Status
|
||||
1. Create chunk
|
||||
2. mark_chunk_matching() → status updated to "matching"
|
||||
3. mark_chunk_anchored() → status updated to "anchored"
|
||||
4. Verify explicit state transitions
|
||||
|
||||
## Non-Functional Requirements
|
||||
|
||||
### Performance
|
||||
- **create_chunk**: < 10ms
|
||||
- **add_frame_to_chunk**: < 5ms
|
||||
- **get_chunk_composite_descriptor**: < 3s for 20 images (async)
|
||||
- **get_chunk_bounds**: < 10ms
|
||||
|
||||
### Reliability
|
||||
- Chunk state persisted across restarts
|
||||
- Graceful handling of missing frames
|
||||
- Thread-safe chunk operations
|
||||
|
||||
## Dependencies
|
||||
|
||||
### Internal Components
|
||||
- **F10 Factor Graph Optimizer**: Chunk creation and factor management
|
||||
- **F05 Image Input Pipeline**: Image retrieval
|
||||
- **F08 Global Place Recognition**: Descriptor computation
|
||||
- **F07 Sequential VO**: VO results for chunk building
|
||||
|
||||
### External Dependencies
|
||||
- **numpy**: Array operations
|
||||
|
||||
## Data Models
|
||||
|
||||
### ChunkHandle
|
||||
```python
|
||||
class ChunkHandle(BaseModel):
|
||||
chunk_id: str
|
||||
flight_id: str
|
||||
start_frame_id: int
|
||||
end_frame_id: Optional[int]
|
||||
frames: List[int]
|
||||
is_active: bool
|
||||
has_anchor: bool
|
||||
anchor_frame_id: Optional[int]
|
||||
anchor_gps: Optional[GPSPoint]
|
||||
matching_status: str # "unanchored", "matching", "anchored", "merged"
|
||||
```
|
||||
|
||||
### ChunkBounds
|
||||
```python
|
||||
class ChunkBounds(BaseModel):
|
||||
estimated_center: GPSPoint
|
||||
estimated_radius: float # meters
|
||||
confidence: float # 0.0 to 1.0
|
||||
```
|
||||
|
||||
### ChunkConfig
|
||||
```python
|
||||
class ChunkConfig(BaseModel):
|
||||
min_frames_for_matching: int = 5
|
||||
max_frames_per_chunk: int = 20
|
||||
descriptor_aggregation: str = "mean" # "mean", "vlad", "max"
|
||||
```
|
||||
|
||||
### Sim3Transform
|
||||
```python
|
||||
class Sim3Transform(BaseModel):
|
||||
translation: np.ndarray # (3,) - translation vector
|
||||
rotation: np.ndarray # (3, 3) rotation matrix or (4,) quaternion
|
||||
scale: float # Scale factor
|
||||
```
|
||||
|
||||
Reference in New Issue
Block a user