feat: updated the task as completed after process from s3

src/backend/app/projects/image_processing.py

@@ -2,10 +2,14 @@
 import tempfile
 import shutil
 from pathlib import Path
+from app.tasks import task_logic
+from app.models.enums import State
+from app.utils import timestamp
 from pyodm import Node
 from app.s3 import get_file_from_bucket, list_objects_from_bucket, add_file_to_bucket
 from loguru import logger as log
 from concurrent.futures import ThreadPoolExecutor
+from psycopg import Connection
 
 
 class DroneImageProcessor:
@@ -14,6 +18,8 @@ def __init__(
         node_odm_url: str,
         project_id: uuid.UUID,
         task_id: uuid.UUID,
+        user_id: str,
+        db: Connection,
     ):
         """
         Initializes the connection to the ODM node.
@@ -22,6 +28,8 @@ def __init__(
         self.node = Node.from_url(node_odm_url)
         self.project_id = project_id
         self.task_id = task_id
+        self.user_id = user_id
+        self.db = db
 
     def options_list_to_dict(self, options=[]):
         """
@@ -147,6 +155,17 @@ def process_images_from_s3(self, bucket_name, name=None, options=[]):
             # Upload the results into s3
             s3_path = f"projects/{self.project_id}/{self.task_id}/assets.zip"
             add_file_to_bucket(bucket_name, path_to_download, s3_path)
+            # now update the task as completed in Db.
+            task_logic.update_task_state(
+                self.db,
+                self.project_id,
+                self.task_id,
+                self.user_id,
+                "Task completed.",
+                State.LOCKED_FOR_MAPPING,
+                State.UNLOCKED_DONE,
+                timestamp(),
+            )
             return task
 
         finally:

src/backend/app/projects/project_logic.py

@@ -165,9 +165,13 @@ async def preview_split_by_square(boundary: str, meters: int):
     )
 
 
-def process_drone_images(project_id: uuid.UUID, task_id: uuid.UUID):
+def process_drone_images(
+    project_id: uuid.UUID, task_id: uuid.UUID, user_id: str, db: Connection
+):
     # Initialize the processor
-    processor = DroneImageProcessor(settings.NODE_ODM_URL, project_id, task_id)
+    processor = DroneImageProcessor(
+        settings.NODE_ODM_URL, project_id, task_id, user_id, db
+    )
 
     # Define processing options
     options = [

src/backend/app/projects/project_routes.py

@@ -349,8 +349,12 @@ async def process_imagery(
     ],
     user_data: Annotated[AuthUser, Depends(login_required)],
     background_tasks: BackgroundTasks,
+    db: Annotated[Connection, Depends(database.get_db)],
 ):
-    background_tasks.add_task(project_logic.process_drone_images, project.id, task_id)
+    user_id = user_data.id
+    background_tasks.add_task(
+        project_logic.process_drone_images, project.id, task_id, user_id, db
+    )
     return {"message": "Processing started"}