Added notification stuff
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{
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// Use IntelliSense to learn about possible attributes.
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// Hover to view descriptions of existing attributes.
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Python: Module",
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"type": "python",
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"request": "launch",
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"module": "src",
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"justMyCode": true
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}
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]
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}
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@ -5,6 +5,7 @@ import dotenv
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from pathlib import Path
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import os
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import time
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# import hjson as json
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import torch
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from ultralytics import YOLO
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@ -16,7 +17,11 @@ from .utils import notify, config_utils
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DATETIME_FORMAT = "%Y-%m-%d %H:%M:%S"
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args = None
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object_names = {}
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def main():
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global object_names
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global args
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# RUN_BY_COMPOSE = os.getenv("RUN_BY_COMPOSE") # Replace this with code to check for gpu
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@ -35,9 +40,11 @@ def main():
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# required='RUN_SCALE' not in os.environ,
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argparser.add_argument(
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'--run-scale',
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"--run-scale",
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# Set it to the env RUN_SCALE if it isn't blank, otherwise set it to 0.25
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default=os.environ['RUN_SCALE'] if 'RUN_SCALE' in os.environ and os.environ['RUN_SCALE'] != '' else 0.25, # noqa: E501
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default=os.environ["RUN_SCALE"]
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if "RUN_SCALE" in os.environ and os.environ["RUN_SCALE"] != ""
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else 0.25, # noqa: E501
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type=float,
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help="The scale to run the detection at, default is 0.25",
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)
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@ -57,16 +64,20 @@ def main():
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# help="The URL of the stream to use",
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# )
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stream_source.add_argument(
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'--capture-device',
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default=os.environ['CAPTURE_DEVICE'] if 'CAPTURE_DEVICE' in os.environ and os.environ['CAPTURE_DEVICE'] != '' else 0, # noqa: E501
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"--capture-device",
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default=os.environ["CAPTURE_DEVICE"]
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if "CAPTURE_DEVICE" in os.environ and os.environ["CAPTURE_DEVICE"] != ""
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else 0, # noqa: E501
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type=int,
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help="The capture device to use. Can also be a url."
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help="The capture device to use. Can also be a url.",
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)
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notifcation_services = argparser.add_argument_group("Notification Services")
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notifcation_services.add_argument(
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'--ntfy-url',
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default=os.environ['NTFY_URL'] if 'NTFY_URL' in os.environ and os.environ['NTFY_URL'] != '' else None, # noqa: E501
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"--ntfy-url",
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default=os.environ["NTFY_URL"]
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if "NTFY_URL" in os.environ and os.environ["NTFY_URL"] != ""
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else "https://ntfy.sh/set-detect-notify",
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type=str,
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help="The URL to send notifications to",
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)
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@ -87,13 +98,12 @@ def main():
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model = YOLO("yolov8n.pt")
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# video_capture = cv2.VideoCapture(args.capture_device)
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video_capture = cv2.VideoCapture(args.capture_device)
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video_capture = cv2.VideoCapture("rtsp://192.168.1.7:8554/cv")
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# Eliminate lag by setting the buffer size to 1
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# This makes it so that the video capture will only grab the most recent frame
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# However, this means that the video may be choppy
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video_capture.set(cv2.CAP_PROP_BUFFERSIZE, 1)
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# Print the resolution of the video
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print(
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f"Video resolution: {video_capture.get(cv2.CAP_PROP_FRAME_WIDTH)}x{video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT)}" # noqa: E501
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@ -110,6 +120,14 @@ def main():
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results = model(run_frame, verbose=False)
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for r in results:
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# Setup dictionary of object names
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if not object_names:
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for name in r.names.values():
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object_names[name] = {
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"last_detection_time": None,
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"detection_duration": None,
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# "first_detection_time": None,
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}
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for box in r.boxes:
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# Get the name of the object
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class_id = r.names[box.cls[0].item()]
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@ -119,10 +137,57 @@ def main():
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# Get the confidence
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conf = round(box.conf[0].item(), 2)
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# Print it out, adding a spacer between each object
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print("Object type:", class_id)
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print("Coordinates:", cords)
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print("Probability:", conf)
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print("---")
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# print("Object type:", class_id)
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# print("Coordinates:", cords)
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# print("Probability:", conf)
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# print("---")
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# Now do stuff
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# If this is the first time the object has been detected
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# or if it has been more than 15 seconds since the last detection
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# reset the detection duration
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if (
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object_names[class_id]["last_detection_time"] is None
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or time.time() - object_names[class_id]["last_detection_time"] > 15
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or object_names[class_id]["detection_duration"] is None
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):
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print(f"First detection of {class_id}")
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# time.time() returns the number of seconds since the epoch
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object_names[class_id]["last_detection_time"] = time.time()
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# object_names[class_id]["first_detection_time"] = time.time()
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object_names[class_id]["detection_duration"] = 0
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headers = notify.construct_ntfy_headers(
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title=f"{class_id} Detected",
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tag="rotating_light",
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priority="default",
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)
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notify.send_notification(
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data=f"{class_id} Detected", headers=headers, url=args.ntfy_url
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)
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else:
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# Add the time since the last detection to the total detection duration
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object_names[class_id]["detection_duration"] += (
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time.time() - object_names[class_id]["last_detection_time"]
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)
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# Check if detection has been ongoing for 2 seconds or more in the past 15 seconds
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if (
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object_names[class_id]["detection_duration"] >= 2
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and time.time() - object_names[class_id]["last_detection_time"]
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<= 15
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):
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print(f"Detected {class_id} for 2 seconds")
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headers = notify.construct_ntfy_headers(
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title=f"{class_id} Detected",
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tag="rotating_light",
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priority="default",
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)
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notify.send_notification(
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data=f"{class_id} Detected", headers=headers, url=args.ntfy_url
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)
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im_array = r.plot()
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# Scale back up the coordinates of the locations of detected objects.
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# im_array = np.multiply(im_array, 1/args.run_scale)
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@ -131,7 +196,6 @@ def main():
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# exit()
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cv2.imshow("View", im_array)
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# Hit 'q' on the keyboard to quit!
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if cv2.waitKey(1) & 0xFF == ord("q"):
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break
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@ -141,4 +205,5 @@ def main():
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video_capture.release()
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cv2.destroyAllWindows()
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main()
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@ -1,4 +1,3 @@
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# def write_config():
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# with open(config_path, "w") as config_file:
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# json.dump(config, config_file, indent=4)
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@ -6,28 +6,22 @@ def construct_ntfy_headers(
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title: str = "Object/Person Detected",
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tag="rotating_light", # https://docs.ntfy.sh/publish/#tags-emojis
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priority="default", # https://docs.ntfy.sh/publish/#message-priority
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) -> (dict):
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return {
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'Title': title,
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'Priority': priority,
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'Tags': tag
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}
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) -> dict:
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return {"Title": title, "Priority": priority, "Tags": tag}
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def send_notification(
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data: str,
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headers: dict,
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url: str
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):
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def send_notification(data: str, headers: dict, url: str):
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if url is None or data is None:
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raise ValueError("url and data cannot be None")
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httpx.post(url, data=data.encode('utf-8'), headers=headers)
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httpx.post(url, data=data.encode("utf-8"), headers=headers)
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def check_last_seen(last_seen: datetime.datetime, seconds: int = 15):
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'''
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"""
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Check if a time is older than a given number of seconds
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If it is, return True
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If last_seen is empty/null, return True
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'''
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"""
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if (
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datetime.datetime.now() - last_seen > datetime.timedelta(seconds=seconds)
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or last_seen == ""
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