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(Feat) add anmn hourly timeseries handler #7

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May 8, 2024
Merged

(Feat) add anmn hourly timeseries handler #7

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24 changes: 24 additions & 0 deletions aodn_cloud_optimised/bin/anmn_hourly_timeseries.py
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#!/usr/bin/env python3
import importlib.resources

from aodn_cloud_optimised.lib.CommonHandler import cloud_optimised_creation_loop
from aodn_cloud_optimised.lib.config import load_variable_from_config, load_dataset_config
from aodn_cloud_optimised.lib.s3Tools import s3_ls
from aodn_cloud_optimised.lib.AnmnHourlyTsHandler import AnmnHourlyTsHandler

if __name__ == "__main__":

BUCKET_RAW_DEFAULT = load_variable_from_config('BUCKET_RAW_DEFAULT')

nc_obj_ls = s3_ls(BUCKET_RAW_DEFAULT, 'IMOS/ANMN/NSW') + \
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@lbesnard Missing 'IMOS/ANMN/NRS' prefix here! (The National Referece Stations -- quite important IMOS data)

s3_ls(BUCKET_RAW_DEFAULT, 'IMOS/ANMN/PA') + \
s3_ls(BUCKET_RAW_DEFAULT, 'IMOS/ANMN/QLD') + \
s3_ls(BUCKET_RAW_DEFAULT, 'IMOS/ANMN/SA') + \
s3_ls(BUCKET_RAW_DEFAULT, 'IMOS/ANMN/WA')

nc_obj_ls = [s for s in nc_obj_ls if ('_hourly-timeseries_' in s) and ('FV02' in s)]
dataset_config = load_dataset_config(str(importlib.resources.path("aodn_cloud_optimised.config.dataset", "anmn_hourly_timeseries.json")))

cloud_optimised_creation_loop(nc_obj_ls,
dataset_config=dataset_config,
handler_class=AnmnHourlyTsHandler)
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