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Commit 73d082e9 authored by Carsten Hinz's avatar Carsten Hinz
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renamed output file

parent c82e4bb2
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3 merge requests!11Creation of first beta release version,!10change in metadata of notebook,!9change in metadata of notebook
%% Cell type:markdown id: tags:
### Get Dataset from request
%% Cell type:code id: tags:
``` python
from datetime import datetime as dt
from pathlib import Path
import pandas as pd
import numpy as np
from toargridding.grids import RegularGrid
from toargridding.toar_rest_client import (
AnalysisServiceDownload,
STATION_LAT,
STATION_LON,
)
from toargridding.metadata import Metadata, TimeSample, AnalysisRequestResult, Coordinates
from toargridding.variables import Coordinate
from toargridding.contributors import contributionsManager, contributions_manager_by_name
from toargridding.contributors import contributions_manager_by_id, contributions_manager_by_name
import logging
from toargridding.defaultLogging import toargridding_defaultLogging
#setup of logging
logger = toargridding_defaultLogging()
logger.addShellLogger(logging.DEBUG)
logger.logExceptions()
endpoint = "https://toar-data.fz-juelich.de/api/v2/analysis/statistics/"
#starts in directory [path/to/toargridding]/tests
#maybe adopt the toargridding_base_path for your machine.
toargridding_base_path = Path(".")
cache_dir = toargridding_base_path / "cache"
data_download_dir = toargridding_base_path / "results"
analysis_service = AnalysisServiceDownload(endpoint, cache_dir, data_download_dir, use_downloaded=True)
my_grid = RegularGrid(1.9, 2.5)
time = TimeSample(dt(2016,1,1), dt(2016,2,28), "daily")
metadata = Metadata.construct("mole_fraction_of_ozone_in_air", time, "mean")
```
%% Cell type:markdown id: tags:
# Contributors as dedicated file
%% Cell type:code id: tags:
``` python
# this cell can runs longer than 30minutes
data = analysis_service.get_data(metadata)
# create contributors endpoint and write result to metadata
contrib = contributionsManager(metadata.get_id(), data_download_dir)
contrib = contributions_manager_by_id(metadata.get_id(), data_download_dir)
contrib.extract_contributors_from_data_frame(data.stations_data)
metadata.contributors_metadata_field = contrib.setup_contributors_endpoint_for_metadata()
ds = my_grid.as_xarray(data)
#store dataset
ds.to_netcdf(data_download_dir / f"curl+id-file_{metadata.get_id()}_{my_grid.get_id()}.nc")
ds.to_netcdf(data_download_dir / f"endpoint+id-file_{metadata.get_id()}_{my_grid.get_id()}.nc")
```
%% Cell type:markdown id: tags:
# Contributors as single line request
%% Cell type:code id: tags:
``` python
# this cell can runs longer than 30minutes
data = analysis_service.get_data(metadata)
# create contributors endpoint and write result to metadata
contrib = contributionsManager(metadata.get_id(), data_download_dir)
contrib = contributions_manager_by_id(metadata.get_id(), data_download_dir)
contrib.inline_mode = True
contrib.extract_contributors_from_data_frame(data.stations_data)
metadata.contributors_metadata_field = contrib.setup_contributors_endpoint_for_metadata()
ds = my_grid.as_xarray(data)
#store dataset
ds.to_netcdf(data_download_dir / f"request_in_field_{metadata.get_id()}_{my_grid.get_id()}.nc")
```
%% Cell type:markdown id: tags:
# Contributors by name within field
%% Cell type:code id: tags:
``` python
# this cell can runs longer than 30minutes
data = analysis_service.get_data(metadata)
# create contributors endpoint and write result to metadata
contrib = contributions_manager_by_name(metadata.get_id(), data_download_dir)
contrib.inline_mode = True
contrib.extract_contributors_from_data_frame(data.stations_data)
metadata.contributors_metadata_field = contrib.setup_contributors_endpoint_for_metadata()
ds = my_grid.as_xarray(data)
#store dataset
ds.to_netcdf(data_download_dir / f"by_name_{metadata.get_id()}_{my_grid.get_id()}.nc")
```
......
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