# Initialize the Environment.
from os.path import join, split
from gbdxtools import Interface
gbdx = Interface()

tasks = []
output_location = 'ENVI/QuerySpectralIndices'

cat_id = '105001000672E000'

# Image Auto ordering task parameters
order = gbdx.Task("Auto_Ordering")
order.inputs.cat_id = cat_id
order.impersonation_allowed = True
order.persist = True
order.timeout = 36000
tasks += [order]

# Image AOP task parameters
aop = gbdx.Task("AOP_Strip_Processor")
aop.inputs.data = order.outputs.s3_location.value
aop.inputs.bands = 'MS'
aop.inputs.enable_dra = False
aop.outputs.data.persist = True
aop.outputs.data.persist_location = output_location+'/aop'
aop.timeout = 36000
tasks += [aop]

# Create a basic classification
envi_query = gbdx.Task("ENVI_QuerySpectralIndices")
envi_query.inputs.input_raster = aop.outputs.data.value
tasks += [envi_query]

workflow = gbdx.Workflow(tasks)
workflow.savedata(
    envi_query.outputs.available_indices, location=output_location
)
workflow.savedata(
    envi_query.outputs.task_meta_data, location=output_location
)

workflow.execute()