def consolidate(year):
""" Only required for DFMC model """
mr = ModelRegister()
model = mr.get('DFMC')
looped = asyncio.new_event_loop()
result = looped.run_until_complete(model.consolidate_year(year))
return result
def do_query(geo_json, start, finish, model):
result = {}
try:
sq = ShapeQuery(geo_json=geo_json, start=start, finish=finish)
mr = ModelRegister()
model = mr.get(model)
looped = asyncio.new_event_loop()
result = looped.run_until_complete(model.get_timeseries_results(sq))
except ValueError as e:
logger.error("ValueError")
# result['error'] = json.dumps(e)
mrs = ModelResultSchema()
json_result, errors = mrs.dump(result)
return json_result
def do_netcdf(geo_json, start, finish, model):
result = {}
try:
sq = ShapeQuery(geo_json=geo_json, start=start, finish=finish)
mr = ModelRegister()
model = mr.get(model)
looped = asyncio.new_event_loop()
result = looped.run_until_complete(model.get_netcdf_results(sq))
except ValueError as e:
logger.error("ValueError")
# result['error'] = json.dumps(e)
# Return result as filename string
# HUG will stream the binary data
return result
def do_mp4(geo_json, start, finish, model):
result = {}
try:
sq = ShapeQuery(geo_json=geo_json, start=start, finish=finish)
mr = ModelRegister()
model = mr.get(model)
looped = asyncio.new_event_loop()
result = looped.run_until_complete(model.get_mp4_results(sq))
except ValueError as e:
logger.error("ValueError")
# result['error'] = json.dumps(e)
# Return result as filename string
# HUG will stream the binary data
logger.debug(result)
# TODO - Double Check model.code is always var_name of DataSet!
return result
from serve.lfmc.models.ModelRegister import ModelRegister from serve.lfmc.models.rx.RegisterObserver import RegisterObserver mr = ModelRegister() ro = RegisterObserver() mr.subscribe(ro)