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Commit 9f55136f authored by Carsten Hinz's avatar Carsten Hinz
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continued testing of downloading of data.

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tests/produce_data.ipynb
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%% Cell type:code id: tags:
``` python
from datetime import datetime as dt
from collections import namedtuple
from pathlib import Path
from toargridding.toar_rest_client import AnalysisServiceDownload
from toargridding.grids import RegularGrid
from toargridding.gridding import get_gridded_toar_data
from toargridding.metadata import TimeSample
```
%% Cell type:code id: tags:
``` python
#creation of request.
Config = namedtuple("Config", ["grid", "time", "variables", "stats","moreOptions"])
#moreOptions is implemented as a dict to add additional arguments to the query to the REST API
#For example the field toar1_category with its possible values Urban, RuralLowElevation, RuralHighElevation and Unclassified can be added.
#see page 18 in https://toar-data.fz-juelich.de/sphinx/TOAR_UG_Vol03_Database/build/latex/toardatabase--userguide.pdf
details4Query ={
#"toar1_category" : "Urban" #uncomment if wished:-)
#"toar1_category" : "RuralLowElevation" #uncomment if wished:-)
"toar1_category" : "RuralLowElevation" #uncomment if wished:-)
#"toar1_category" : "RuralHighElevation" #uncomment if wished:-)
}
valid_data = Config(
RegularGrid( lat_resolution=1.9, lon_resolution=2.5, ),
TimeSample( start=dt(2000,1,1), end=dt(2019,12,31), sampling="daily"),#possibly adopt range:-)
["mole_fraction_of_ozone_in_air"],#variable name
#[ "mean", "dma8epax"],# will start one request after another other...
[ "dma8epax", "mean" ],# will start one request after another other...
#[ "dma8epax", "mean" ],# will start one request after another other...
[ "mean" ],
details4Query
)
configs = {
"test_ta" : valid_data
}
#testing access:
config = configs["test_ta"]
config.grid
```
%% Cell type:code id: tags:
``` python
#CAVE: this cell runs about 30minutes per requested year
#the processing is done on the server of the TOAR database.
#a restart of the cell continues the request to the REST API if the requested data are ready for download
# The download can also take a few minutes
stats_endpoint = "https://toar-data.fz-juelich.de/api/v2/analysis/statistics/"
cache_basepath = Path("cache")
result_basepath = Path("results")
cache_basepath.mkdir(exist_ok=True)
result_basepath.mkdir(exist_ok=True)
analysis_service = AnalysisServiceDownload(stats_endpoint=stats_endpoint, cache_dir=cache_basepath, sample_dir=result_basepath, use_downloaded=True)
for person, config in configs.items():
datasets, metadatas = get_gridded_toar_data(
analysis_service=analysis_service,
grid=config.grid,
time=config.time,
variables=config.variables,
stats=config.stats,
**config.moreOptions
)
for dataset, metadata in zip(datasets, metadatas):
dataset.to_netcdf(result_basepath / f"{metadata.get_id()}.nc")
print(metadata.get_id())
```
......
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