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from asf_search import ASFSearchResults, ASFSession
from asf_search.ASFSearchOptions.ASFSearchOptions import ASFSearchOptions
import os
import json
from asf_search.search.search_generator import as_ASFProduct
def run_test_serialization(product=None, results=None, opts=ASFSearchOptions()):
if product is None:
to_serialize = ASFSearchResults([json_to_product(prod) for prod in results])
else:
to_serialize = ASFSearchResults([json_to_product(product)])
with open('serialized_product.json', 'w') as f:
f.write(json.dumps({'results': to_serialize.geojson(), 'opts': dict(opts)}))
f.close()
with open('serialized_product.json', 'r') as f:
deserialized = json.loads(f.read())
f.close()
os.remove('serialized_product.json')
deserialized_results = deserialized.get('results')
deserialized_opts = deserialized.get('opts')
for key, value in deserialized_opts.items():
assert value == getattr(opts, key)
for idx, original in enumerate(to_serialize):
assert deserialized_results['features'][idx]['properties'] == original.properties
assert deserialized_results['features'][idx]['geometry'] == original.geometry
assert deserialized_results['type'] == 'FeatureCollection'
def json_to_product(product):
output = as_ASFProduct(product, session=ASFSession())
output.meta = product['meta']
output.properties = product['properties']
output.geometry = product['geometry']
output.umm = product['umm']
return output
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