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fixes the context handling in the UDF #4

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fixes the context handling in the UDF #4

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7 changes: 3 additions & 4 deletions apex_generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,10 +48,9 @@ def generate() -> dict:
####################
# PART 3: Apply statcube processing
####################:
context_udf = {"spatial_extent": {"from_parameter": "spatial_extent"}, "detection_start_time": {"from_parameter": "temporal_extent"},
"detection_end_time": {"from_parameter": "temporal_extent"}}
udf = UDF.from_file("udf_apex_S1backscatter_changedetection.py", context=context_udf)
output_statmcd = s1_backcatter.apply_dimension(process=udf, dimension="t")
context_udf = {"spatial_extent": {"from_parameter": "spatial_extent"}, "detection_extent": {"from_parameter": "temporal_extent"}}
udf = UDF.from_file("udf_apex_S1backscatter_changedetection.py", context={"from_parameter": "context"})
output_statmcd = s1_backcatter.apply_dimension(process=udf, dimension="t", context=context_udf)
output_statmcd = output_statmcd.rename_labels(dimension="bands",
target=["DEC", "DEC_asc", "DEC_asc_threshold", "DEC_des",
"DEC_des_threshold"])
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20 changes: 10 additions & 10 deletions sentinel1_mcd.json
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8 changes: 4 additions & 4 deletions udf_apex_S1backscatter_changedetection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -829,16 +829,16 @@ def apply_datacube(cube: xr.DataArray, context: Dict) -> xr.DataArray:

# Get temporal extent
spatial_extent = context["spatial_extent"]
datection_time = context["detection_start_time"]
detection_end_time = context["detection_end_time"]
detection_start_time = context["detection_extent"][0]
detection_end_time = context["detection_extent"][1]

start_d = datetime.datetime.strptime(datection_time, "%Y-%m-%d")
start_d = datetime.datetime.strptime(detection_start_time, "%Y-%m-%d")
end_d = datetime.datetime.strptime(detection_end_time, "%Y-%m-%d")
delta_days = (end_d - start_d).days
acq_frequency = abs(delta_days)

# temporal extent
days_interval = get_context_intervals(datection_time, acq_frequency=acq_frequency)
days_interval = get_context_intervals(detection_start_time, acq_frequency=acq_frequency)
start_time, end_time = get_overall_start_end(days_interval)
# logger.info(f"Processingfromto: {start_time} to {end_time}")

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