def prepare_analysis(analysis_id):
"""Prepare and run analysis
:param analysis_id: analysis id of the object
:type analysis_id: int
:return: Celery Async Result
:rtype: celery.result.AsyncResult
"""
analysis = Analysis.objects.get(id=analysis_id)
# Set analysis start time
Analysis.objects.filter(id=analysis_id).update(
start_time=datetime.now())
analysis.refresh_from_db()
hazard = get_layer_path(analysis.hazard_layer)
exposure = get_layer_path(analysis.exposure_layer)
aggregation = (
get_layer_path(analysis.aggregation_layer) if (
analysis.aggregation_layer) else None)
# Create temporary aggregation layer if aggregation filter exists
if aggregation:
aggregation = prepare_aggregation_filter(analysis_id)
# Execute analysis in chains:
# - Run analysis
# - Process analysis result
tasks_chain = chain(
run_analysis.s(
hazard, exposure, aggregation,
locale=analysis.language_code).set(
queue=run_analysis.queue).set(
time_limit=settings.INASAFE_ANALYSIS_RUN_TIME_LIMIT),
process_impact_result.s(analysis_id).set(
queue=process_impact_result.queue),
clean_up_temp_aggregation.s(analysis_id).set(
queue=clean_up_temp_aggregation.queue)
)
result = tasks_chain.delay()
# Parent information will be lost later.
# What we should save is the run_analysis task result as this is the
# chain's parent
while result.parent:
result = result.parent
return result
def prepare_analysis(analysis_id):
"""Prepare and run analysis
:param analysis_id: analysis id of the object
:type analysis_id: int
:return: Celery Async Result
:rtype: celery.result.AsyncResult
"""
analysis = Analysis.objects.get(id=analysis_id)
hazard = get_layer_path(analysis.hazard_layer)
exposure = get_layer_path(analysis.exposure_layer)
function = analysis.impact_function_id
extent = analysis.user_extent
if extent:
# Reformat extent into list(float)
extent = ast.literal_eval('[' + extent + ']')
# Execute analysis in chains:
# - Run analysis
# - Process analysis result
tasks_chain = chain(
run_analysis.s(
hazard,
exposure,
function,
generate_report=True,
requested_extent=extent,
archive_impact=False
).set(
queue='inasafe-headless-analysis').set(
time_limit=settings.INASAFE_ANALYSIS_RUN_TIME_LIMIT),
process_impact_result.s(
analysis_id
).set(queue='geosafe')
)
result = tasks_chain.delay()
# Parent information will be lost later.
# What we should save is the run_analysis task result as this is the
# chain's parent
return result.parent