def post(self, request):
printer = request.auth
pic = request.FILES['pic']
pic_id = int(timezone.now().timestamp())
internal_url, external_url = save_file_obj(
'raw/{}/{}.jpg'.format(printer.id, pic_id), pic,
settings.PICS_CONTAINER)
if not printer.is_printing():
redis.printer_pic_set(printer.id, {'img_url': external_url},
ex=STATUS_TTL_SECONDS)
return command_response(printer)
req = requests.get(settings.ML_API_HOST + '/p/',
params={'img': internal_url},
headers=ml_api_auth_headers(),
verify=False)
req.raise_for_status()
resp = req.json()
detections = resp['detections']
prediction, _ = PrinterPrediction.objects.get_or_create(
printer=printer)
update_prediction_with_detections(prediction, detections)
prediction.save()
pic.file.seek(
0) # Reset file object pointer so that we can load it again
tagged_img = io.BytesIO()
detections_to_visualize = [
d for d in detections if d[1] > VISUALIZATION_THRESH
]
overlay_detections(Image.open(pic),
detections_to_visualize).save(tagged_img, "JPEG")
tagged_img.seek(0)
_, external_url = save_file_obj(
'tagged/{}/{}.jpg'.format(printer.id, pic_id), tagged_img,
settings.PICS_CONTAINER)
redis.printer_pic_set(printer.id, {'img_url': external_url},
ex=STATUS_TTL_SECONDS)
prediction_json = serializers.serialize("json", [
prediction,
])
redis.printer_p_json_set(printer.id,
pic_id,
prediction_json,
ex=60 * 60 * 24 * 2)
if is_failing(prediction,
printer.detective_sensitivity,
escalating_factor=settings.ESCALATING_FACTOR):
pause_if_needed(printer)
elif is_failing(prediction,
printer.detective_sensitivity,
escalating_factor=1):
alert_if_needed(printer)
return command_response(printer)
def post(self, request):
printer = request.auth
printer.refresh_from_db() # Connection is keep-alive, which means printer object can be stale.
pic = request.FILES['pic']
pic = cap_image_size(pic)
pic_id = str(timezone.now().timestamp())
if not printer.current_print: # Some times pics come in when current_print is not set - maybe because printer status is out of sync between plugin and server?
pic_path = f'{printer.id}/0/{pic_id}.jpg'
else:
pic_path = f'{printer.id}/{printer.current_print.id}/{pic_id}.jpg'
internal_url, external_url = save_file_obj(f'raw/{pic_path}', pic, settings.PICS_CONTAINER, long_term_storage=False)
if not printer.should_watch() or not printer.actively_printing():
redis.printer_pic_set(printer.id, {'img_url': external_url}, ex=IMG_URL_TTL_SECONDS)
send_status_to_web(printer.id)
return Response({'result': 'ok'})
req = requests.get(settings.ML_API_HOST + '/p/', params={'img': internal_url}, headers=ml_api_auth_headers(), verify=False)
req.raise_for_status()
resp = req.json()
detections = resp['detections']
prediction, _ = PrinterPrediction.objects.get_or_create(printer=printer)
update_prediction_with_detections(prediction, detections)
prediction.save()
pic.file.seek(0) # Reset file object pointer so that we can load it again
tagged_img = io.BytesIO()
detections_to_visualize = [d for d in detections if d[1] > VISUALIZATION_THRESH]
overlay_detections(Image.open(pic), detections_to_visualize).save(tagged_img, "JPEG")
tagged_img.seek(0)
_, external_url = save_file_obj(f'tagged/{pic_path}', tagged_img, settings.PICS_CONTAINER, long_term_storage=False)
redis.printer_pic_set(printer.id, {'img_url': external_url}, ex=IMG_URL_TTL_SECONDS)
prediction_json = serializers.serialize("json", [prediction, ])
redis.printer_p_json_set(printer.id, pic_id, prediction_json, ex=60*60*24*2)
if is_failing(prediction, printer.detective_sensitivity, escalating_factor=settings.ESCALATING_FACTOR):
pause_if_needed(printer)
elif is_failing(prediction, printer.detective_sensitivity, escalating_factor=1):
alert_if_needed(printer)
redis.print_num_predictions_incr(printer.current_print.id)
send_status_to_web(printer.id)
return Response({'result': 'ok'})
def post(self, request):
printer = request.auth
printer.refresh_from_db() # Connection is keep-alive, which means printer object can be stale.
if not request.path.startswith('/api/v1'):
LOGGER.warn(f'Beta plugin connecting from {printer.id}')
pic = request.FILES['pic']
pic_id = int(timezone.now().timestamp())
internal_url, external_url = save_file_obj('raw/{}/{}.jpg'.format(printer.id, pic_id), pic, settings.PICS_CONTAINER)
if not printer.should_watch() or not printer.actively_printing():
redis.printer_pic_set(printer.id, {'img_url': external_url}, ex=STATUS_TTL_SECONDS)
send_status_to_web(printer.id)
return Response({'result': 'ok'})
req = requests.get(settings.ML_API_HOST + '/p/', params={'img': internal_url}, headers=ml_api_auth_headers(), verify=False)
req.raise_for_status()
resp = req.json()
detections = resp['detections']
prediction, _ = PrinterPrediction.objects.get_or_create(printer=printer)
update_prediction_with_detections(prediction, detections)
prediction.save()
pic.file.seek(0) # Reset file object pointer so that we can load it again
tagged_img = io.BytesIO()
detections_to_visualize = [d for d in detections if d[1] > VISUALIZATION_THRESH]
overlay_detections(Image.open(pic), detections_to_visualize).save(tagged_img, "JPEG")
tagged_img.seek(0)
_, external_url = save_file_obj('tagged/{}/{}.jpg'.format(printer.id, pic_id), tagged_img, settings.PICS_CONTAINER)
redis.printer_pic_set(printer.id, {'img_url': external_url}, ex=STATUS_TTL_SECONDS)
prediction_json = serializers.serialize("json", [prediction, ])
redis.printer_p_json_set(printer.id, pic_id, prediction_json, ex=60*60*24*2)
if is_failing(prediction, printer.detective_sensitivity, escalating_factor=settings.ESCALATING_FACTOR):
pause_if_needed(printer)
elif is_failing(prediction, printer.detective_sensitivity, escalating_factor=1):
alert_if_needed(printer)
redis.print_num_predictions_incr(printer.current_print.id)
send_status_to_web(printer.id)
return Response({'result': 'ok'})