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Add CAMS job and op #25

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Oct 20, 2023
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Add CAMS job and op #25

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9562d76
Add CAMS job and op
devsjc Oct 20, 2023
1839227
Formatting
devsjc Oct 20, 2023
d275da2
Remove test
devsjc Oct 20, 2023
0a8bcd8
Make client instantiation in function
devsjc Oct 20, 2023
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2 changes: 1 addition & 1 deletion dags_tests/compile_test.py
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Expand Up @@ -3,4 +3,4 @@

def test_compiles():
job_names = [d.name for d in list(defs.get_all_job_defs())]
assert len(job_names) == 20
assert len(job_names) == 21
1 change: 1 addition & 0 deletions nwp/assets/cams/__init__.py
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from .cams import fetch_cams_forecast_for_day, CAMSConfig
168 changes: 168 additions & 0 deletions nwp/assets/cams/cams.py
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import datetime as dt

import cdsapi
import dagster


VARIABLES: list[str] = [
'aerosol_extinction_coefficient_1064nm', 'aerosol_extinction_coefficient_355nm', 'aerosol_extinction_coefficient_532nm',
'ammonium_aerosol_mass_mixing_ratio', 'ammonium_aerosol_optical_depth_550nm', 'anthropogenic_secondary_organic_aerosol_mass_mixing_ratio',
'asymmetry_factor_1020nm', 'asymmetry_factor_1064nm', 'asymmetry_factor_1240nm',
'asymmetry_factor_1640nm', 'asymmetry_factor_2130nm', 'asymmetry_factor_340nm',
'asymmetry_factor_355nm', 'asymmetry_factor_380nm', 'asymmetry_factor_400nm',
'asymmetry_factor_440nm', 'asymmetry_factor_469nm', 'asymmetry_factor_500nm',
'asymmetry_factor_532nm', 'asymmetry_factor_550nm', 'asymmetry_factor_645nm',
'asymmetry_factor_670nm', 'asymmetry_factor_800nm', 'asymmetry_factor_858nm',
'asymmetry_factor_865nm', 'attenuated_backscatter_due_to_aerosol_1064nm_from_ground', 'attenuated_backscatter_due_to_aerosol_1064nm_from_top_of_atmosphere',
'attenuated_backscatter_due_to_aerosol_355nm_from_ground', 'attenuated_backscatter_due_to_aerosol_355nm_from_top_of_atmosphere', 'attenuated_backscatter_due_to_aerosol_532nm_from_ground',
'attenuated_backscatter_due_to_aerosol_532nm_from_top_of_atmosphere', 'biogenic_secondary_organic_aerosol_mass_mixing_ratio', 'black_carbon_aerosol_optical_depth_550nm',
'carbon_monoxide', 'chlorine_monoxide', 'chlorine_nitrate',
'dust_aerosol_0.03-0.55um_mixing_ratio', 'dust_aerosol_0.03-0.55um_optical_depth_550nm', 'dust_aerosol_0.55-0.9um_mixing_ratio',
'dust_aerosol_0.55-9um_optical_depth_550nm', 'dust_aerosol_0.9-20um_mixing_ratio', 'dust_aerosol_9-20um_optical_depth_550nm',
'dust_aerosol_optical_depth_550nm', 'ethane', 'formaldehyde',
'hydrogen_chloride', 'hydrogen_cyanide', 'hydrogen_peroxide',
'hydrophilic_black_carbon_aerosol_mixing_ratio', 'hydrophilic_black_carbon_aerosol_optical_depth_550nm', 'hydrophilic_organic_matter_aerosol_mixing_ratio',
'hydrophilic_organic_matter_aerosol_optical_depth_550nm', 'hydrophobic_black_carbon_aerosol_mixing_ratio', 'hydrophobic_black_carbon_aerosol_optical_depth_550nm',
'hydrophobic_organic_matter_aerosol_mixing_ratio', 'hydrophobic_organic_matter_aerosol_optical_depth_550nm', 'hydroxyl_radical',
'isoprene', 'methane', 'nitrate_aerosol_optical_depth_550nm',
'nitrate_coarse_mode_aerosol_mass_mixing_ratio', 'nitrate_coarse_mode_aerosol_optical_depth_550nm', 'nitrate_fine_mode_aerosol_mass_mixing_ratio',
'nitrate_fine_mode_aerosol_optical_depth_550nm', 'nitric_acid', 'nitrogen_dioxide',
'nitrogen_monoxide', 'organic_matter_aerosol_optical_depth_550nm', 'ozone',
'particulate_matter_10um', 'particulate_matter_1um', 'particulate_matter_2.5um',
'peroxyacetyl_nitrate', 'propane', 'sea_salt_aerosol_0.03-0.5um_mixing_ratio',
'sea_salt_aerosol_0.03-0.5um_optical_depth_550nm', 'sea_salt_aerosol_0.5-5um_mixing_ratio', 'sea_salt_aerosol_0.5-5um_optical_depth_550nm',
'sea_salt_aerosol_5-20um_mixing_ratio', 'sea_salt_aerosol_5-20um_optical_depth_550nm', 'sea_salt_aerosol_optical_depth_550nm',
'secondary_organic_aerosol_optical_depth_550nm', 'single_scattering_albedo_1020nm', 'single_scattering_albedo_1064nm',
'single_scattering_albedo_1240nm', 'single_scattering_albedo_1640nm', 'single_scattering_albedo_2130nm',
'single_scattering_albedo_340nm', 'single_scattering_albedo_355nm', 'single_scattering_albedo_380nm',
'single_scattering_albedo_400nm', 'single_scattering_albedo_440nm', 'single_scattering_albedo_469nm',
'single_scattering_albedo_500nm', 'single_scattering_albedo_532nm', 'single_scattering_albedo_550nm',
'single_scattering_albedo_645nm', 'single_scattering_albedo_670nm', 'single_scattering_albedo_800nm',
'single_scattering_albedo_858nm', 'single_scattering_albedo_865nm', 'sulphate_aerosol_mixing_ratio',
'sulphate_aerosol_optical_depth_550nm', 'sulphur_dioxide', 'total_absorption_aerosol_optical_depth_1020nm',
'total_absorption_aerosol_optical_depth_1064nm', 'total_absorption_aerosol_optical_depth_1240nm', 'total_absorption_aerosol_optical_depth_1640nm',
'total_absorption_aerosol_optical_depth_2130nm', 'total_absorption_aerosol_optical_depth_340nm', 'total_absorption_aerosol_optical_depth_355nm',
'total_absorption_aerosol_optical_depth_380nm', 'total_absorption_aerosol_optical_depth_400nm', 'total_absorption_aerosol_optical_depth_440nm',
'total_absorption_aerosol_optical_depth_469nm', 'total_absorption_aerosol_optical_depth_500nm', 'total_absorption_aerosol_optical_depth_532nm',
'total_absorption_aerosol_optical_depth_550nm', 'total_absorption_aerosol_optical_depth_645nm', 'total_absorption_aerosol_optical_depth_670nm',
'total_absorption_aerosol_optical_depth_800nm', 'total_absorption_aerosol_optical_depth_858nm', 'total_absorption_aerosol_optical_depth_865nm',
'total_aerosol_optical_depth_1020nm', 'total_aerosol_optical_depth_1064nm', 'total_aerosol_optical_depth_1240nm',
'total_aerosol_optical_depth_1640nm', 'total_aerosol_optical_depth_2130nm', 'total_aerosol_optical_depth_340nm',
'total_aerosol_optical_depth_355nm', 'total_aerosol_optical_depth_380nm', 'total_aerosol_optical_depth_400nm',
'total_aerosol_optical_depth_440nm', 'total_aerosol_optical_depth_469nm', 'total_aerosol_optical_depth_500nm',
'total_aerosol_optical_depth_532nm', 'total_aerosol_optical_depth_550nm', 'total_aerosol_optical_depth_645nm',
'total_aerosol_optical_depth_670nm', 'total_aerosol_optical_depth_800nm', 'total_aerosol_optical_depth_858nm',
'total_aerosol_optical_depth_865nm', 'total_column_carbon_monoxide', 'total_column_chlorine_monoxide',
'total_column_chlorine_nitrate', 'total_column_ethane', 'total_column_formaldehyde',
'total_column_hydrogen_chloride', 'total_column_hydrogen_cyanide', 'total_column_hydrogen_peroxide',
'total_column_hydroxyl_radical', 'total_column_isoprene', 'total_column_methane',
'total_column_nitric_acid', 'total_column_nitrogen_dioxide', 'total_column_nitrogen_monoxide',
'total_column_ozone', 'total_column_peroxyacetyl_nitrate', 'total_column_propane',
'total_column_sulphur_dioxide', 'total_fine_mode_aerosol_optical_depth_1020nm', 'total_fine_mode_aerosol_optical_depth_1064nm',
'total_fine_mode_aerosol_optical_depth_1240nm', 'total_fine_mode_aerosol_optical_depth_1640nm', 'total_fine_mode_aerosol_optical_depth_2130nm',
'total_fine_mode_aerosol_optical_depth_340nm', 'total_fine_mode_aerosol_optical_depth_355nm', 'total_fine_mode_aerosol_optical_depth_380nm',
'total_fine_mode_aerosol_optical_depth_400nm', 'total_fine_mode_aerosol_optical_depth_440nm', 'total_fine_mode_aerosol_optical_depth_469nm',
'total_fine_mode_aerosol_optical_depth_500nm', 'total_fine_mode_aerosol_optical_depth_532nm', 'total_fine_mode_aerosol_optical_depth_550nm',
'total_fine_mode_aerosol_optical_depth_645nm', 'total_fine_mode_aerosol_optical_depth_670nm', 'total_fine_mode_aerosol_optical_depth_800nm',
'total_fine_mode_aerosol_optical_depth_858nm', 'total_fine_mode_aerosol_optical_depth_865nm',
]

INIT_TIMES: list[str] = [
'00:00', '12:00',
]

class CAMSConfig(dagster.Config):
date: str
raw_dir: str

@dagster.op
def fetch_cams_forecast_for_day(context: dagster.OpExecutionContext, config: CAMSConfig):
"""Fetch CAMS forecast for a given day."""

c = cdsapi.Client()

date: dt.datetime = dt.datetime.strptime(config.date, "%Y-%m-%d")

if date < dt.datetime(2015, 1, 1):
raise ValueError('CAMS data is only available from 2015-01-01 onwards.')

for it in INIT_TIMES:
for var in VARIABLES:
fname: str = f'{config.raw_dir}/{date.strftime("%Y%m%d")}{it[:2]}_{var}.grib'

c.retrieve(
'cams-global-atmospheric-composition-forecasts',
{
'date': date.strftime("%Y-%m-%d/%Y-%m-%d"),
'type': 'forecast',
'format': 'grib',
'variable': var,
'pressure_level': [
'1', '2', '3',
'5', '7', '10',
'20', '30', '50',
'70', '100', '150',
'200', '250', '300',
'400', '500', '600',
'700', '800', '850',
'900', '925', '950',
'1000',
],
'leadtime_hour': [
'0', '1', '10',
'100', '101', '102',
'103', '104', '105',
'106', '107', '108',
'109', '11', '110',
'111', '112', '113',
'114', '115', '116',
'117', '118', '119',
'12', '120', '13',
'14', '15', '16',
'17', '18', '19',
'2', '20', '21',
'22', '23', '24',
'25', '26', '27',
'28', '29', '3',
'30', '31', '32',
'33', '34', '35',
'36', '37', '38',
'39', '4', '40',
'41', '42', '43',
'44', '45', '46',
'47', '48', '49',
'5', '50', '51',
'52', '53', '54',
'55', '56', '57',
'58', '59', '6',
'60', '61', '62',
'63', '64', '65',
'66', '67', '68',
'69', '7', '70',
'71', '72', '73',
'74', '75', '76',
'77', '78', '79',
'8', '80', '81',
'82', '83', '84',
'85', '86', '87',
'88', '89', '9',
'90', '91', '92',
'93', '94', '95',
'96', '97', '98',
'99',
],
"time": it,
},
f'{config.raw_dir}/{date.strftime("%Y%m%d")}{it[:2]}_{var}.grib')

context.log_event(
AssetObservation(
asset_key="cams_data",
metadata={
"path": fname,
"date": date.strftime("%Y-%m-%d"),
"variable": var,
"init_time": it,
}
)
)
21 changes: 20 additions & 1 deletion nwp/jobs.py
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Expand Up @@ -5,11 +5,12 @@

import dagster

from nwp.assets.cams import CAMSConfig, fetch_cams_forecast_for_day
from nwp.assets.dwd.common import IconConfig
from nwp.assets.ecmwf.mars import (
NWPConsumerConfig,
nwp_consumer_convert_op,
nwp_consumer_download_op
nwp_consumer_download_op,
)

jobs: list[dagster.JobDefinition] = []
Expand Down Expand Up @@ -77,6 +78,24 @@ def build_config_on_runtime(model: str, run: str, delay: int = 0) -> dict:
schedules.append(
dagster.ScheduleDefinition(job=asset_job, cron_schedule="0 8 * * *"))

# --- CAMS jobs and schedules ----------------------------------------------

@dagster.daily_partitioned_config(start_date=dt.datetime(2015, 1, 1))
def CAMSDailyPartitionConfig(start: dt.datetime, _end: dt.datetime) -> dict[str, Any]:
config = CAMSConfig(
date=start.strftime("%Y-%m-%d"),
raw_dir="/mnt/storage_b/data/ocf/solar_pv_nowcasting/nowcasting_dataset_pipeline/NWP/CAMS/raw",
)
return {"ops": {"fetch_cams_forecast_for_day": {"config": json.loads(config.json())}}}


@dagster.job(config=CAMSDailyPartitionConfig)
def cams_daily_archive() -> None:
"""Download CAMS data for a given day."""
fetch_cams_forecast_for_day()

jobs.append(cams_daily_archive)
schedules.append(dagster.build_schedule_from_partitioned_job(cams_daily_archive, hour_of_day=16))

# --- NWP Consumer jobs and schedules --------------------------------------

Expand Down
1 change: 1 addition & 0 deletions pyproject.toml
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Expand Up @@ -18,6 +18,7 @@ authors = [
]
classifiers = ["Programming Language :: Python :: 3"]
dependencies = [
"cdsapi == 0.6.1",
"ecmwf-api-client == 1.6.3",
"dagit == 1.4.11",
"dagster == 1.4.11",
Expand Down