initial structure implemented

docs -> _docs

models/images/__init__.py

@@ -0,0 +1,12 @@
+from .image_data import ImageData
+from .image_metadata import ImageMetadata
+from .image_batch import ImageBatch
+from .processing_status import ProcessingStatus
+
+__all__ = [
+    "ImageData",
+    "ImageMetadata",
+    "ImageBatch",
+    "ProcessingStatus",
+]
+

models/images/image_batch.py

@@ -0,0 +1,10 @@
+from pydantic import BaseModel
+
+
+class ImageBatch(BaseModel):
+    images: list[bytes]
+    filenames: list[str]
+    start_sequence: int
+    end_sequence: int
+    batch_number: int
+

models/images/image_data.py

@@ -0,0 +1,14 @@
+import numpy as np
+from pydantic import BaseModel, ConfigDict
+from .image_metadata import ImageMetadata
+
+
+class ImageData(BaseModel):
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    flight_id: str
+    sequence: int
+    filename: str
+    image: np.ndarray
+    metadata: ImageMetadata
+

models/images/image_metadata.py

@@ -0,0 +1,13 @@
+from datetime import datetime
+from typing import Optional
+from pydantic import BaseModel
+
+
+class ImageMetadata(BaseModel):
+    sequence: int
+    filename: str
+    dimensions: tuple[int, int]
+    file_size: int
+    timestamp: datetime
+    exif_data: Optional[dict] = None
+

models/images/processing_status.py

@@ -0,0 +1,11 @@
+from pydantic import BaseModel
+
+
+class ProcessingStatus(BaseModel):
+    flight_id: str
+    total_images: int
+    processed_images: int
+    current_sequence: int
+    queued_batches: int
+    processing_rate: float
+