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adapt the sending of alerts to the concept of poses #30

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Merged
fe51 merged 5 commits into from
Feb 6, 2026
Merged

adapt the sending of alerts to the concept of poses #30

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9d6f918
test poses features
fe51 Dec 19, 2025
39745d6
pyroclient version
fe51 Dec 20, 2025
e0d6104
Added poses csv to add poses to db in init script
fe51 Dec 20, 2025
0dd0fc2
Move get_or_create_pose_id_for_azimuth and updates detection body
fe51 Feb 6, 2026
b3f4ef1
adapt body to poses
fe51 Feb 6, 2026
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13 changes: 12 additions & 1 deletion containers/init_script/init_script.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
###### TODO REFACTOR : use the init scripts which are in the test_update_pi directory
#  TODO REFACTOR : use the init scripts which are in the test_update_pi directory

#!/usr/bin/env python

Expand Down Expand Up @@ -72,6 +72,7 @@ def write_json_file(file_path, data):
organizations = pd.read_csv(f"data/csv/API_DATA{sub_path} - organizations.csv")
cameras = pd.read_csv(f"data/csv/API_DATA{sub_path} - cameras.csv")
cameras = cameras.fillna("")
poses = pd.read_csv(f"data/csv/API_DATA{sub_path} - poses.csv")

for orga in organizations.itertuples(index=False):
logging.info(f"saving orga : {orga.name}")
Expand Down Expand Up @@ -131,6 +132,16 @@ def write_json_file(file_path, data):
write_json_file(credentials_path, data)
write_json_file(credentials_path_etl, data_wildfire)

logging.info("creating poses")
for pose in poses.itertuples(index=False):
payload = {
"camera_id": pose.camera_id,
"azimuth": pose.azimuth,
"patrol_id": pose.patrol_id,
}
api_request("post", f"{api_url}/poses/", superuser_auth, payload)


# Load environment variables from .env file
# load_dotenv()

Expand Down
28 changes: 18 additions & 10 deletions containers/notebooks/app/send_real_alerts.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -139,6 +139,8 @@
"metadata": {},
"outputs": [],
"source": [
"send_alert_from_cam_ids = [2, 4, 5, 14] # select cameras\n",
"\n",
"sequances_folders = glob.glob(f\"{SAMPLE_PATH}/*\")\n",
"\n",
"for camera_id in send_alert_from_cam_ids:\n",
Expand All @@ -151,17 +153,20 @@
" imgs.sort()\n",
" preds = glob.glob(f\"{sequances_folder}/labels_predictions/*\")\n",
" preds.sort()\n",
" \n",
" cam_center_azimuth = random.randint(0,360)\n",
" print(f\"Sending alerts from camera {camera_id} at azimuth {cam_center_azimuth}\")\n",
"\n",
" cam_poses = camera_client.get_current_poses().json()\n",
" # pick a random pose id\n",
" pose_id = random.choice(cam_poses)['id']\n",
"\n",
" print(f\"Sending alerts from camera {camera_id} at (pose_id={pose_id})\")\n",
" for img_file, pred_file in zip(imgs, preds):\n",
" \n",
" stream = io.BytesIO()\n",
" im = Image.open(img_file)\n",
" im.save(stream, format=\"JPEG\", quality=80)\n",
"\n",
" bboxes = read_pred_file(pred_file)\n",
" response = camera_client.create_detection(stream.getvalue(), cam_center_azimuth, bboxes)\n",
" response = camera_client.create_detection(stream.getvalue(), bboxes, pose_id=pose_id)\n",
" # Force a KeyError if the request failed\n",
" \n",
" response.json()[\"id\"]"
Expand Down Expand Up @@ -193,7 +198,7 @@
"source": [
"SEQUENCES_DIR_PATH = \"../data/alert_samples/single_sequences/*\"\n",
"sequences_directories = glob.glob(SEQUENCES_DIR_PATH)\n",
"CAM_MAPPING = {22:13, 42:7, 59:5, 14:11, 43:8, 79:14, 13:10, 11:15, 59:1, 60:2, 15:12, 12:9, 10:16, 41:2, 65:8}\n",
"CAM_MAPPING = {22: 13, 42: 7, 59: 5, 14: 11, 43: 8, 79: 14, 13: 10, 11: 15, 60: 2, 15: 12, 12: 9, 10: 16, 41: 2, 65: 8}\n",
"\n",
"for seq_path in sequences_directories:\n",
" \n",
Expand All @@ -211,9 +216,12 @@
" preds = glob.glob(f\"{seq_path}/labels_predictions/*\")\n",
" preds.sort()\n",
"\n",
" cam_center_azimuth = random.randint(0,360)\n",
" cam_poses = camera_client.get_current_poses().json()\n",
" # pick a random pose id\n",
" pose_id = random.choice(cam_poses)['id']\n",
"\n",
" \n",
" print(f\"Sending alerts from camera {camera_id} at azimuth {cam_center_azimuth}\")\n",
" print(f\"Sending alerts from camera {camera_id} at (pose_id={pose_id})\")\n",
" for img_file, pred_file in zip(imgs, preds):\n",
" \n",
" stream = io.BytesIO()\n",
Expand All @@ -223,9 +231,9 @@
" #bboxes = read_pred_file(pred_file)\n",
" with open(pred_file, 'r', encoding='utf-8') as file:\n",
" bboxes = ast.literal_eval(file.read())\n",
" \n",
" #bboxes = np.loadtxt(pred_file, ndmin=2)\n",
" response = camera_client.create_detection(stream.getvalue(), cam_center_azimuth, bboxes)\n",
" response = camera_client.create_detection(stream.getvalue(), bboxes, pose_id=pose_id)\n",
"\n",
" # Force a KeyError if the request failed\n",
" time.sleep(0.5)\n",
" response.json()[\"id\"]"
Expand Down Expand Up @@ -352,7 +360,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.7"
"version": "3.11.14"
}
},
"nbformat": 4,
Expand Down
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