reduccion = mascara_0
medianas = dag_utils.IdentityMap(
reduccion,
product=_params['products'][0],
algorithm=_steps['medianas']['algorithm'],
version=_steps['medianas']['version'],
task_id="medianas",
queue=_steps['medianas']['queue'],
dag=dag,
delete_partial_results=_steps['medianas']['del_prev_result'],
params=_steps['medianas']['params'])
workflow = medianas
if queue_utils.get_tiles(_params['lat'], _params['lon']) > 1:
mosaico = dag_utils.OneReduce(
workflow,
task_id="mosaic",
algorithm=_steps['mosaico']['algorithm'],
product=_params['products'][0],
version=_steps['mosaico']['version'],
queue=_steps['mosaico']['queue'],
delete_partial_results=_steps['mosaico']['del_prev_result'],
trigger_rule=TriggerRule.NONE_FAILED,
dag=dag)
workflow = mosaico
kmeans = CDColFromFileOperator(task_id="k_means",
product=_params['products'][0],
algorithm=_steps['k_means']['algorithm'],
generic_step = dag_utils.queryMapByTile(
lat=_params['lat'],
lon=_params['lon'],
time_ranges=_params['time_ranges'],
algorithm=_steps['generic-step']['algorithm'],
version=_steps['generic-step']['version'],
product=_params['products'][0],
params=_steps['generic-step']['params'],
queue=_steps['generic-step']['queue'],
dag=dag,
task_id="generic-step_" + _params['products'][0]['name'],
to_tiff=False,
alg_folder=common.COMPLETE_ALGORITHMS_FOLDER)
workflow = generic_step
if _params['genera_mosaico'] and queue_utils.get_tiles(_params['lat'],
_params['lon']) > 1:
mosaico = dag_utils.OneReduce(
workflow,
task_id="mosaic",
algorithm=_steps['mosaico']['algorithm'],
version=_steps['mosaico']['version'],
queue=_steps['mosaico']['queue'],
delete_partial_results=_steps['mosaico']['del_prev_result'],
trigger_rule=TriggerRule.NONE_FAILED,
dag=dag,
to_tiff=False)
workflow = mosaico
workflow
params=_steps['reduccion']['params'], )
else:
reduccion = mascara_0
medianas = dag_utils.IdentityMap(
reduccion,
product=_params['products'][0],
algorithm=_steps['medianas']['algorithm'],
version=_steps['medianas']['version'],
task_id="medianas",
queue=_steps['medianas']['queue'], dag=dag,
delete_partial_results=_steps['medianas']['del_prev_result'],
params=_steps['medianas']['params'])
mndwi = dag_utils.IdentityMap(medianas, algorithm=_steps['mndwi']['algorithm'],
version=_steps['mndwi']['version'],
queue=_steps['mndwi']['queue'],
delete_partial_results=_steps['mndwi']['del_prev_result'], dag=dag,
task_id="mndwi", to_tiff= not (_params['genera_mosaico'] and queue_utils.get_tiles(_params['lat'],_params['lon'])>1))
workflow = mndwi
if _params['genera_mosaico'] and queue_utils.get_tiles(_params['lat'],_params['lon'])>1:
mosaico = dag_utils.OneReduce(workflow, task_id="mosaic", algorithm=_steps['mosaico']['algorithm'],
version=_steps['mosaico']['version'], queue=_steps['mosaico']['queue'],
delete_partial_results=_steps['mosaico']['del_prev_result'],
trigger_rule=TriggerRule.NONE_FAILED, dag=dag, to_tiff=True)
workflow = mosaico
workflow
