"""
========================
Getting data from CDAWeb
========================

How to download data from the Coordinated Data Analysis Web (CDAWeb).

CDAWeb stores data from from current and past space physics missions, and is
full of heliospheric insitu datasets.
"""
# sphinx_gallery_tags = ["Acquiring Data", "CDAWeb", "Solar Orbiter"]

from sunpy.net import Fido
from sunpy.net import attrs as a
from sunpy.timeseries import TimeSeries

###############################################################################
# `sunpy.net.Fido` is the primary interface to search for and download data and
# will automatically search CDAWeb when the ``cdaweb.Dataset`` attribute is provided to
# the search. To lookup the different dataset IDs available, you can use the
# form at https://cdaweb.gsfc.nasa.gov/index.html/
trange = a.Time('2021/07/01', '2021/07/08')
dataset = a.cdaweb.Dataset('SOLO_L2_MAG-RTN-NORMAL-1-MINUTE')
result = Fido.search(trange, dataset)

###############################################################################
# Let's inspect the results. We can see that there's seven files, one for each
# day within the query.
print(result)

###############################################################################
# Let's download the first two files
downloaded_files = Fido.fetch(result[0, 0:2])
print(downloaded_files)

###############################################################################
# Finally we can load and take a look at the data using
# `~sunpy.timeseries.TimeSeries` This requires an installation of the cdflib
# Python library to read the CDF file.
solo_mag = TimeSeries(downloaded_files, concatenate=True)
print(solo_mag.columns)
solo_mag.peek(columns=['B_RTN_0', 'B_RTN_1', 'B_RTN_2'])