def extend_gis_map(map_plugin, add_javascript, add_configuration):
add_javascript("scripts/S3/s3.gis.climate.js")
env = map_plugin.env
SCRIPT = env.SCRIPT
T = env.T
import json
application_name = env.request.application
config_dict = dict(
map_plugin.client_config,
year_min = map_plugin.year_min,
year_max = map_plugin.year_max,
base_URL = "/%s/climate/" % application_name,
aggregation_names = [
Aggregation.__name__ for Aggregation in aggregations
],
)
SampleTable.add_to_client_config_dict(config_dict)
add_configuration(
"\n".join((
"window.climate_data_plugin = new ClimateDataMapPlugin("+
json.dumps(
config_dict,
indent = 4
)+
")",
"registerPlugin(climate_data_plugin)",
))
)
("tonne", 1000.0),
("kilotonne", 1000000.0),
)
time = Dimensions.parsed_from("s")
Dimensions.group("s", "second",
("minute", 60),
("hour", 60 * 60),
("day", 60 * 60 * 24),
("week", 60 * 60 * 24),
)
rainfall = Dimensions.parsed_from("precipitation mm")
Dimensions.group("precipitation mm", "precipitation mm")
rainfall = Dimensions.parsed_from("precipitation mm")
Dimensions.group("precipitation mm", "precipitation mm")
velocity = Dimensions.parsed_from("m/s")
Dimensions.group("m/s", "m/s")
preferred_units = {
pressure: "hPa",
time: "day",
temperature: "Kelvin",
rainfall: "precipitation mm",
velocity: "m/s",
}
SampleTable.init_SampleTables()
def generate_years_json(file_path):
years = list(SampleTable.with_name(sample_table_name).get_available_years())
years.sort()
file = open(file_path, "w")
file.write(str(years))
file.close()
