.. doctest-skip-all

Using "Client" API
==================

The "client" API contains modules supporting VO Cone Search's client-side
operations.


.. _vo-sec-client-cat-manip:

Catalog Manipulation
--------------------

You can manipulate a VO catalog using
`~astroquery.vo_conesearch.vos_catalog.VOSCatalog`,
which is basically a dictionary with added functionalities.

.. _vo-sec-client-cat-manip-examples:

Examples
^^^^^^^^

You can create a VO catalog from scratch with your own VO service by
providing its title and access URL, and optionally any other metadata
as key-value pairs:

>>> from astroquery.vo_conesearch.vos_catalog import VOSCatalog
>>> my_cat = VOSCatalog.create(
...     'My Own', 'http://ex.org/cgi-bin/cs.pl?',
...     description='My first VO service.', creator='J. Doe', year=2013)
>>> print(my_cat)
title: My Own
url: http://ex.org/cgi-bin/cs.pl?
>>> print(my_cat.dumps())
{
    "creator": "J. Doe",
    "description": "My first VO service.",
    "title": "My Own",
    "url": "http://ex.org/cgi-bin/cs.pl?",
    "year": 2013
}

You can modify and add fields:

>>> my_cat['year'] = 2014
>>> my_cat['new_field'] = 'Hello world'
>>> print(my_cat.dumps())
{
    "creator": "J. Doe",
    "description": "My first VO service.",
    "new_field": "Hello world",
    "title": "My Own",
    "url": "http://ex.org/cgi-bin/cs.pl?",
    "year": 2014
}

In addition, you can also delete an existing field, except the compulsory
title and access URL:

>>> my_cat.delete_attribute('description')
>>> print(my_cat.dumps())
{
    "creator": "J. Doe",
    "new_field": "Hello world",
    "title": "My Own",
    "url": "http://ex.org/cgi-bin/cs.pl?",
    "year": 2014
}


.. _vo-sec-client-db-manip:

Database Manipulation
---------------------

You can manipulate VO database using
`~astroquery.vo_conesearch.vos_catalog.VOSDatabase`,
which is basically a nested dictionary with added functionalities.

.. _vo-sec-client-db-manip-examples:

Examples
^^^^^^^^

You can choose to start with an empty database:

>>> from astroquery.vo_conesearch.vos_catalog import VOSDatabase
>>> my_db = VOSDatabase.create_empty()
>>> print(my_db.dumps())
{
    "__version__": 1,
    "catalogs": {}
}

Add the custom catalog from
:ref:`VO catalog examples <vo-sec-client-cat-manip-examples>` to database:

>>> my_db.add_catalog('My Catalog 1', my_cat)
>>> print(my_db)
My Catalog 1
>>> print(my_db.dumps())
{
    "__version__": 1,
    "catalogs": {
        "My Catalog 1": {
            "creator": "J. Doe",
            "new_field": "Hello world",
            "title": "My Own",
            "url": "http://ex.org/cgi-bin/cs.pl?",
            "year": 2014
        }
    }
}

You can write/read the new database to/from a JSON file:

>>> my_db.to_json('my_vo_database.json', overwrite=True)
>>> my_db = VOSDatabase.from_json('my_vo_database.json')

You can also load a database from a VO registry. The process is described in
:ref:`vo-sec-validator-build-db`, except that here, validation is not done,
so ``validate_xxx`` keys are not added. This might generate a lot of warnings,
especially if the registry has duplicate entries of similar services, so
here, we silently ignore all the warnings:

>>> import warnings
>>> from astroquery.vo_conesearch.validator import conf as validator_conf
>>> with warnings.catch_warnings():  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
...     warnings.simplefilter('ignore')
...     registry_db = VOSDatabase.from_registry(
...         validator_conf.conesearch_master_list, encoding='binary',
...         cache=False)
Downloading https://mast.stsci.edu/vo-tap/api/v0.1/registry/sync...
|==========================================|  44M/ 44M (100.00%)         0s
>>> len(registry_db)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
21326

Find catalog names containing ``'usno*a2'`` in the registry database:

>>> usno_a2_list = registry_db.list_catalogs(pattern='usno*a2')  # doctest: +REMOTE_DATA
>>> usno_a2_list  # doctest: +REMOTE_DATA
['ROSAT All-Sky Survey Bright Source Catalog USNO A2 Cross-Associations 1',
 'The USNO-A2.0 Catalogue (Monet+ 1998) 1',
 'USNO-A2 Catalogue 1']

Find access URLs containing ``'stsci'`` in the registry database:

>>> stsci_urls = registry_db.list_catalogs_by_url(pattern='stsci')  # doctest: +REMOTE_DATA
>>> stsci_urls  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
['http://archive.stsci.edu/befs/search.php?',
 'http://archive.stsci.edu/euve/search.php?', ...,
 'http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=ultravista&',
 'http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=viking&']

Extract a catalog titled ``'USNO-A2 Catalogue 1'`` from the registry:

>>> usno_a2 = registry_db.get_catalog('USNO-A2 Catalogue 1')  # doctest: +REMOTE_DATA
>>> print(usno_a2)  # doctest: +REMOTE_DATA
title: 'USNO-A2 Catalogue'
url: http://www.nofs.navy.mil/cgi-bin/vo_cone.cgi?CAT=USNO-A2&

Extract a catalog by known access URL from the registry (the iterator version
of this functionality is
:func:`~astroquery.vo_conesearch.vos_catalog.VOSDatabase.get_catalogs_by_url`,
which is useful in the case of multiple entries with same access URL):

>>> gsc_url = 'https://vizier.cds.unistra.fr/viz-bin/conesearch/I/305/out?'
>>> gsc = registry_db.get_catalog_by_url(gsc_url)  # doctest: +REMOTE_DATA
>>> print(gsc)  # doctest: +REMOTE_DATA
title: 'The Guide Star Catalog, Version 2.3.2 (GSC2.3) (STScI, 2006)'
url: https://vizier.cds.unistra.fr/viz-bin/conesearch/I/305/out?

Add all ``'usno*a2'`` catalogs from registry to your database:

>>> for name, cat in registry_db.get_catalogs():  # doctest: +REMOTE_DATA
...     if name in usno_a2_list:
...         my_db.add_catalog(name, cat)
>>> my_db.list_catalogs()  # doctest: +REMOTE_DATA
['My Catalog 1',
 'ROSAT All-Sky Survey Bright Source Catalog USNO A2 Cross-Associations 1',
 'The USNO-A2.0 Catalogue (Monet+ 1998) 1',
 'USNO-A2 Catalogue 1']

You can delete a catalog from the database either by name or access URL:

>>> my_db.delete_catalog('USNO-A2 Catalogue 1')  # doctest: +REMOTE_DATA
>>> my_db.delete_catalog('The USNO-A2.0 Catalogue (Monet+ 1998) 1')  # doctest: +REMOTE_DATA
>>> my_db.delete_catalog_by_url(
...     'https://heasarc.gsfc.nasa.gov/cgi-bin/vo/cone/coneGet.pl?table=rassusnoid&')  # doctest: +REMOTE_DATA
>>> my_db.list_catalogs()  # doctest: +REMOTE_DATA
['My Catalog 1', 'The USNO-A2.0 Catalogue (Monet+ 1998) 1']

You can also merge two database together. In this example, the second database
contains a simple catalog that only has given name and access URL:

>>> other_db = VOSDatabase.create_empty()
>>> other_db.add_catalog_by_url(
...     'My Guide Star Catalogue',
...     'https://vizier.cds.unistra.fr/viz-bin/conesearch/I/305/out?')
>>> print(other_db.dumps())
{
    "__version__": 1,
    "catalogs": {
        "My Guide Star Catalogue": {
            "title": "My Guide Star Catalogue",
            "url": "https://vizier.cds.unistra.fr/viz-bin/conesearch/I/305/out?"
        }
    }
}
>>> merged_db = my_db.merge(other_db)
>>> merged_db.list_catalogs()
['My Catalog 1', 'My Guide Star Catalogue']


.. _vo-sec-client-vos:

General VO Services Access
--------------------------

`astroquery.vo_conesearch.vos_catalog` also contains common utilities for
accessing simple VO services already validated by STScI
(see :ref:`vo-sec-validator-validate`).

.. _vo-sec-vos-config:

Configurable Items
^^^^^^^^^^^^^^^^^^

These parameters are set via :ref:`astropy:astropy_config`:

* ``astroquery.vo_conesearch.conf.pedantic``
    Set strictness of VO table parser (``False`` is recommended).
* ``astroquery.vo_conesearch.conf.timeout``
    Timeout for remote service access.
* ``astroquery.vo_conesearch.conf.vos_baseurl``
    URL (or path) where VO Service database is stored.

Examples
^^^^^^^^

Get all catalogs from a database named ``'conesearch_good'`` (this contains
cone search services that cleanly passed daily validations;
also see :ref:`Cone Search Examples <vo-sec-scs-examples>`):

>>> from astroquery.vo_conesearch import vos_catalog
>>> my_db = vos_catalog.get_remote_catalog_db('conesearch_good')  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Downloading https://astroconda.org/aux/vo_databases/conesearch_good.json
|==========================================|  59k/ 59k (100.00%)         0s
>>> print(my_db)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Guide Star Catalog 2.3 Cone Search 1
SDSS DR7 - Sloan Digital Sky Survey Data Release 7 1
# ...
Two Micron All Sky Survey (2MASS) 2

If you get timeout error, you need to use a custom timeout as follows:

>>> from astropy.utils import data
>>> with data.conf.set_temp('remote_timeout', 30):  # doctest: +REMOTE_DATA
...     my_db = vos_catalog.get_remote_catalog_db('conesearch_good')

To see validation warnings generated by :ref:`vo-sec-validator-validate`
for the one of the catalogs above:

>>> my_cat = my_db.get_catalog('Guide Star Catalog 2.3 Cone Search 1')  # doctest: +REMOTE_DATA
>>> for w in my_cat['validate_warnings']:  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
...     print(w)
/.../vo.xml:136:0: W50: Invalid unit string 'pixel'

By default, pedantic is ``False``:

>>> from astroquery.vo_conesearch import conf
>>> conf.pedantic
False

To call a given VO service; In this case, a Cone Search
(also see :ref:`Cone Search Examples <vo-sec-scs-examples>`):

>>> from astropy import coordinates as coord
>>> from astropy import units as u
>>> c = coord.SkyCoord.from_name('47 Tuc')  # doctest: +REMOTE_DATA
>>> c  # doctest: +REMOTE_DATA
<SkyCoord (ICRS): (ra, dec) in deg
    (6.0223292, -72.0814444)>
>>> sr = 0.5 * u.degree
>>> sr
<Quantity 0.5 deg>
>>> result = vos_catalog.call_vo_service(
...     'conesearch_good',
...     kwargs={'RA': c.ra.degree, 'DEC': c.dec.degree, 'SR': sr.value},
...     catalog_db='Guide Star Catalog 2.3 Cone Search 1')  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Trying http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=GSC23&...
Downloading ...
WARNING: W50: ...: Invalid unit string 'pixel' [astropy.io.votable.tree]
>>> result  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
<Table masked=True length=36184>
   _r      USNO-A1.0    RA_ICRS_   DE_ICRS_  ...   Bmag    Rmag   Epoch
  deg                     deg        deg     ...   mag     mag      yr
float64     bytes13     float64    float64   ... float64 float64 float64
-------- ------------- ---------- ---------- ... ------- ------- --------
0.499298 0150-00088188   4.403473 -72.124045 ...    20.6    19.4 1977.781
0.499075 0150-00088198   4.403906 -72.122762 ...    21.2    18.0 1977.778
0.499528 0150-00088210   4.404531 -72.045198 ...    16.2    15.4 1977.781
     ...           ...        ...        ... ...     ...     ...      ...
0.499917 0150-00226223   7.647400 -72.087600 ...    23.4    21.7 1975.829

Unlike :func:`~astroquery.vo_conesearch.conesearch.conesearch`,
:func:`~astroquery.vo_conesearch.vos_catalog.call_vo_service` is a low-level
function and returns `astropy.io.votable.tree.TableElement`. To convert it to
`astropy.table.Table`:

>>> tab = result.to_table()  # doctest: +REMOTE_DATA

To repeat the above and suppress *all* the screen outputs (not recommended):

>>> import warnings
>>> with warnings.catch_warnings():  # doctest: +REMOTE_DATA
...     warnings.simplefilter('ignore')
...     result = vos_catalog.call_vo_service(
...         'conesearch_good',
...         kwargs={'RA': c.ra.degree, 'DEC': c.dec.degree, 'SR': sr.value},
...         catalog_db='Guide Star Catalog 2.3 Cone Search 1',
...         verbose=False)

You can also use custom VO database, say, ``'my_vo_database.json'`` from
:ref:`VO database examples <vo-sec-client-db-manip-examples>`:

>>> import os
>>> with conf.set_temp('vos_baseurl', os.curdir):  # doctest: +SKIP
...     try:
...         result = vos_catalog.call_vo_service(
...             'my_vo_database',
...             kwargs={'RA': c.ra.degree, 'DEC': c.dec.degree,
...                     'SR': sr.value})
...     except Exception as e:
...         print(str(e))
Trying http://ex.org/cgi-bin/cs.pl?
WARNING: W25: ... failed with: <urlopen error timed out> [...]
None of the available catalogs returned valid results. (1 URL(s) timed out.)


.. _vo-sec-client-scs:

Simple Cone Search
------------------

`astroquery.vo_conesearch.conesearch` supports VO Simple Cone Search
capabilities.

Available databases are generated on the server-side hosted by STScI
using :ref:`vo-sec-validator-validate`. The database used is
controlled by ``astroquery.vo_conesearch.conf.conesearch_dbname``, which can be
changed in :ref:`vo-sec-scs-config` below. Here are the available options:

#. ``'conesearch_good'``
     Default. Passed validation without critical warnings and exceptions.
#. ``'conesearch_warn'``
     Has critical warnings but no exceptions. Use at your own risk.
#. ``'conesearch_exception'``
     Has some exceptions. *Never* use this.
#. ``'conesearch_error'``
     Has network connection error. *Never* use this.

In the default setting, it searches the good Cone Search services one by one,
stops at the first one that gives non-zero match(es), and returns the result.
Since the list of services are extracted from a Python dictionary, the search
order might differ from call to call.

There are also functions, both synchronously and asynchronously, available to
return *all* the Cone Search query results. However, this is not recommended
unless one knows what one is getting into, as it could potentially take up
significant run time and computing resources.

:ref:`vo-sec-scs-examples` below show how to use non-default search behaviors,
where the user has more control of which catalog(s) to search, et cetera.

.. note::

    Most services currently fail to parse when ``pedantic=True``.

.. warning::

    When Cone Search returns warnings, you should decide
    whether the results are reliable by inspecting the
    warning codes in `astropy.io.votable.exceptions`.

.. _vo-sec-scs-config:

Configurable Items
^^^^^^^^^^^^^^^^^^

These parameters are set via :ref:`astropy:astropy_config`:

* ``astroquery.vo_conesearch.conf.conesearch_dbname``
    Cone Search database name to query.

Also depends on
:ref:`General VO Services Access Configurable Items <vo-sec-vos-config>`.

.. _vo-sec-scs-examples:

Examples
^^^^^^^^

>>> from astroquery.vo_conesearch import conesearch

Shows a sorted list of Cone Search services to be searched:

>>> conesearch.list_catalogs()  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
[Guide Star Catalog 2.3 Cone Search 1',
 'SDSS DR7 - Sloan Digital Sky Survey Data Release 7 1',
 'SDSS DR7 - Sloan Digital Sky Survey Data Release 7 2', ...,
 'Two Micron All Sky Survey (2MASS) 2']

To inspect them in detail, do the following and then refer to the examples in
:ref:`vo-sec-client-db-manip`:

>>> from astroquery.vo_conesearch import vos_catalog
>>> good_db = vos_catalog.get_remote_catalog_db('conesearch_good')  # doctest: +REMOTE_DATA

Select a catalog to search:

>>> my_catname = 'Guide Star Catalog 2.3 Cone Search 1'

By default, pedantic is ``False``:

>>> from astroquery.vo_conesearch import conf
>>> conf.pedantic
False

Perform Cone Search in the selected catalog above for 0.01 degree radius
around 47 Tucanae with minimum verbosity, if supported.
The ``catalog_db`` keyword gives control over which catalog(s) to use.
If running this for the first time, a copy of the catalogs database will be
downloaded to local cache. To run this again without using cached data,
set ``cache=False``:

>>> from astropy import coordinates as coord
>>> from astropy import units as u
>>> c = coord.SkyCoord.from_name('47 Tuc')  # doctest: +REMOTE_DATA
>>> c  # doctest: +REMOTE_DATA
<SkyCoord (ICRS): (ra, dec) in deg
    (6.0223292, -72.0814444)>
>>> sr = 0.01 * u.degree
>>> sr
<Quantity 0.01 deg>
>>> result = conesearch.conesearch(c, sr, catalog_db=my_catname)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Trying http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=GSC23&
Downloading ...
WARNING: W50: ...: Invalid unit string 'pixel' [astropy.io.votable.tree]

To run the command above using custom timeout of
60 seconds for each Cone Search service query:

>>> with conf.set_temp('timeout', 60):  # doctest: +REMOTE_DATA
...     result = conesearch.conesearch(c, sr, catalog_db=my_catname)

To suppress *all* the screen outputs (not recommended):

>>> import warnings
>>> with warnings.catch_warnings():  # doctest: +REMOTE_DATA
...     warnings.simplefilter('ignore')
...     result = conesearch.conesearch(c, sr, catalog_db=my_catname,
...                                    verbose=False)

If the query is successful, result is returned as `astropy.table.Table` and
can be manipulated further as such:

>>> result  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
<Table length=70>
    objID           gsc2ID      gsc1ID ... multipleFlag compassGSC2id   Mag
                                       ...                              mag
    int64           object      object ...    int32         int64     float32
-------------- ---------------- ------ ... ------------ ------------- -------
23323176818483 00240514-7204542        ...            0 3392500290739   9.317
23323176818639 00240573-7204494        ...            0 3392500290895  10.637
23323176818627 00240399-7204512        ...            0 3392500290883  10.303
23323176818661 00240462-7204462        ...            0 3392500290917   9.688
23323176818631 00240697-7204506        ...            0 3392500290887  10.697
23323176818667 00240628-7204452        ...            0 3392500290923   8.427
           ...              ...    ... ...          ...           ...     ...
23323176818820 00240446-7204201        ...            0 3392500291076  10.614
20102011262474   S0102011262474        ...            0 3392500262474  22.314
23323176818777 00241049-7204275        ...            0 3392500291033  13.057
23323176818696 00235824-7204410        ...            0 3392500290952  10.203
23323176818177 00240143-7205238        ...            0 3392500290433   9.067
23323176818825 00240370-7204181        ...            0 3392500291081   9.984
>>> result.colnames  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
['objID',
 'gsc2ID',
 'gsc1ID',
 'hstID',
 'ra',
 'dec',
 'epoch',
 ...,
 'Mag']

For example, you can select only objects with 10 mag or brighter. Then, you
can calculate angular separation for those objects and sort them in
descending order by separation:

>>> from astropy.table import Column
>>> bright_ones = result[result['Mag'] <= 10]  # doctest: +REMOTE_DATA
>>> bright_skycoord = coord.SkyCoord(bright_ones['ra'], bright_ones['dec'])  # doctest: +REMOTE_DATA
>>> angular_sep = Column(name='ang_sep', data=c.separation(bright_skycoord))  # doctest: +REMOTE_DATA
>>> bright_ones.add_column(angular_sep)  # doctest: +REMOTE_DATA
>>> bright_ones.sort('ang_sep', reverse=True)  # doctest: +REMOTE_DATA
>>> bright_ones  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
<Table length=34>
    objID           gsc2ID      gsc1ID ...   Mag          ang_sep
                                       ...   mag            deg
    int64           object      object ... float32        float64
-------------- ---------------- ------ ... ------- ----------------------
23323176818825 00240370-7204181        ...   9.984   0.009972117338396163
23323176818177 00240143-7205238        ...   9.067    0.00988160278196351
23323176818497 00241238-7204519        ...   8.571   0.009016872507840567
23323176818800 00240774-7204233        ...    9.58   0.008849138901697263
23323176818403 00235917-7205064        ...   9.958   0.008732143392583538
23323176818385 00241116-7205093        ...   8.234   0.008684087872339485
           ...              ...    ... ...     ...                    ...
23323176818688 00240544-7204421        ...   8.628  0.0030771767133611246
23323176818478 00240305-7204554        ...   8.277  0.0030253920512680397
23323176818630 00240317-7204507        ...   8.377   0.002884701330619627
23323176818667 00240628-7204452        ...   8.427  0.0025032267406569163
23323176818661 00240462-7204462        ...   9.688  0.0021564610200608928
23323176818483 00240514-7204542        ...   9.317 0.00040921297020182925

Perform the same Cone Search as above but asynchronously using
`~astroquery.vo_conesearch.conesearch.AsyncConeSearch`. Queries to
individual Cone Search services are still governed by
``astroquery.vo_conesearch.conf.timeout``. Cone Search is forced to run
in silent mode asynchronously, but warnings are still controlled by
:py:mod:`warnings`:

>>> async_search = conesearch.AsyncConeSearch(c, sr, catalog_db=my_catname)  # doctest: +REMOTE_DATA

Check asynchronous search status:

>>> async_search.running()  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
False
>>> async_search.done()  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
True

Get search results after a 30-second wait (not to be confused with
``astroquery.vo_conesearch.conf.timeout`` that governs individual Cone
Search queries). If search is still not done after 30 seconds,
``TimeoutError`` is raised. Otherwise, Cone Search result is returned
and can be manipulated as above. If no ``timeout`` keyword given, it
waits until completion:

>>> async_result = async_search.get(timeout=30)  # doctest: +REMOTE_DATA
>>> async_result  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
<Table length=70>
    objID           gsc2ID      gsc1ID ... multipleFlag compassGSC2id   Mag
                                       ...                              mag
    int64           object      object ...    int32         int64     float32
-------------- ---------------- ------ ... ------------ ------------- -------
23323176818483 00240514-7204542        ...            0 3392500290739   9.317
23323176818639 00240573-7204494        ...            0 3392500290895  10.637
23323176818627 00240399-7204512        ...            0 3392500290883  10.303
23323176818661 00240462-7204462        ...            0 3392500290917   9.688
23323176818631 00240697-7204506        ...            0 3392500290887  10.697
23323176818667 00240628-7204452        ...            0 3392500290923   8.427
           ...              ...    ... ...          ...           ...     ...
23323176818820 00240446-7204201        ...            0 3392500291076  10.614
20102011262474   S0102011262474        ...            0 3392500262474  22.314
23323176818777 00241049-7204275        ...            0 3392500291033  13.057
23323176818696 00235824-7204410        ...            0 3392500290952  10.203
23323176818177 00240143-7205238        ...            0 3392500290433   9.067
23323176818825 00240370-7204181        ...            0 3392500291081   9.984

Estimate the execution time and the number of objects for a Cone Search
service URL. Estimation only makes sense for a query that would
return a huge amount of matches. The prediction naively assumes a linear model,
which might not be accurate for some cases.
It also uses the normal Cone Search, not the asynchronous version.
This example uses a custom timeout of 30 seconds and runs silently
(except for warnings):

>>> url_to_time = 'https://vizier.cds.unistra.fr/viz-bin/conesearch/I/305/out?'
>>> t_est, n_est = conesearch.predict_search(
...     url_to_time, c, 0.5 * u.deg, verbose=False, plot=True)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
>>> t_est  # Predicted execution time  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
12.193151943611374
>>> n_est  # Predicted number of objects  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
55322

.. image:: images/client_predict_search_t.png
    :width: 450px
    :alt: Example plot from conesearch.predict_search() for t_est

.. image:: images/client_predict_search_n.png
    :width: 450px
    :alt: Example plot from conesearch.predict_search() for n_est

For debugging purpose, one can obtain the actual execution time
and number of objects, and compare them with the predicted values
above. The INFO message shown in controlled by `astropy.logger`.
Keep in mind that running this for every prediction
would defeat the purpose of the prediction itself:

>>> t_real, tab = conesearch.conesearch_timer(
...     c,  0.5 * u.deg, catalog_db=url_to_time, verbose=False)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
INFO: conesearch_timer took 9.93050742149353 s on AVERAGE for 1 call(s). [...]
>>> t_real  # Actual execution time  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
9.93050742149353
>>> len(tab)  # Actual number of objects  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
50000

One can also search in a list of catalogs instead of a single one.
In this example, we look for all catalogs containing ``'guide*star'`` in their
titles and only perform Cone Search using those services.
The first catalog in the list to successfully return non-zero result is used.
Therefore, the order of catalog names given in ``catalog_db`` is important:

>>> gsc_cats = conesearch.list_catalogs(pattern='guide*star')  # doctest: +REMOTE_DATA
>>> gsc_cats  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
['Guide Star Catalog 2.3 Cone Search 1',
 'The HST Guide Star Catalog, Version 1.1 (Lasker+ 1992) 1',
 'The HST Guide Star Catalog, Version 1.2 (Lasker+ 1996) 1',
 'The HST Guide Star Catalog, Version GSC-ACT (Lasker+ 1996-99) 1']
>>> gsc_result = conesearch.conesearch(c, 0.05 * u.deg, catalog_db=gsc_cats)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Trying http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=GSC23&
>>> len(gsc_result)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
1444
>>> gsc_result.url  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
'http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=GSC23'

To repeat the Cone Search above with the services listed in a
different order:

>>> gsc_cats_reordered = [gsc_cats[i] for i in (3, 1, 2, 0)]  # doctest: +REMOTE_DATA
>>> gsc_cats_reordered  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
['The HST Guide Star Catalog, Version GSC-ACT (Lasker+ 1996-99) 1',
 'The HST Guide Star Catalog, Version 1.1 (Lasker+ 1992) 1',
 'The HST Guide Star Catalog, Version 1.2 (Lasker+ 1996) 1',
 'Guide Star Catalog 2.3 Cone Search 1']
>>> gsc_result = conesearch.conesearch(c, 0.05 * u.deg, catalog_db=gsc_cats_reordered)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Trying https://vizier.cds.unistra.fr/viz-bin/conesearch/I/255/out?
WARNING: NoResultsWarning: Catalog server ... returned 0 result [...]
Trying https://vizier.cds.unistra.fr/viz-bin/conesearch/I/220/out?
WARNING: NoResultsWarning: Catalog server ... returned 0 result [...]
Trying https://vizier.cds.unistra.fr/viz-bin/conesearch/I/254/out?
>>> len(gsc_result)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
1
>>> gsc_result.url  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
'https://vizier.cds.unistra.fr/viz-bin/conesearch/I/254/out?'

To obtain results from *all* the services above:

>>> all_gsc_results = conesearch.search_all(c, 0.05 * u.deg, catalog_db=gsc_cats)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Trying http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=GSC23&
Trying https://vizier.cds.unistra.fr/viz-bin/conesearch/I/220/out?
WARNING: NoResultsWarning: Catalog server ... returned 0 result [...]
Trying https://vizier.cds.unistra.fr/viz-bin/conesearch/I/254/out?
Trying https://vizier.cds.unistra.fr/viz-bin/conesearch/I/255/out?
WARNING: NoResultsWarning: Catalog server ... returned 0 result [...]
>>> len(all_gsc_results)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
2
>>> for url in sorted(all_gsc_results):  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
...     tab = all_gsc_results[url]
...     print('{} has {} results'.format(url, len(tab)))
http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=GSC23 has 1444 results
https://vizier.cds.unistra.fr/viz-bin/conesearch/I/254/out? has 1 results

To repeat the above asynchronously:

>>> async_search_all = conesearch.AsyncSearchAll(
...     c, 0.05 * u.deg, catalog_db=gsc_cats)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
>>> async_search_all.running()  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
False
>>> async_search_all.done()  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
True
>>> all_gsc_results = async_search_all.get()  # doctest: +REMOTE_DATA
>>> for url in sorted(all_gsc_results):  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
...     tab = all_gsc_results[url]
...     print('{} has {} results'.format(url, len(tab)))
http://gsss.stsci.edu/webservices/vo/ConeSearch.aspx?CAT=GSC23 has 1444 results
https://vizier.cds.unistra.fr/viz-bin/conesearch/I/254/out? has 1 results

If one is unable to obtain any desired results using the default
Cone Search database, ``'conesearch_good'``, that only contains
sites that cleanly passed validation, one can use :ref:`astropy:astropy_config`
to use another database, ``'conesearch_warn'``, containing sites with
validation warnings. One should use these sites with caution:

>>> from astroquery.vo_conesearch import conf
>>> conf.conesearch_dbname = 'conesearch_warn'
>>> conesearch.list_catalogs()  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Downloading http://astroconda.org/aux/vo_databases/conesearch_warn.json
|==========================================|  20k/ 20k (100.00%)         0s
['Gaia DR2 (Gaia Collaboration, 2018) 2',
 'The USNO-B1.0 Catalog (Monet+ 2003) 1']
>>> result = conesearch.conesearch(c, sr)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
Trying https://vizier.cds.unistra.fr/viz-bin/conesearch/I/345/gaia2?
>>> len(result)  # doctest: +REMOTE_DATA +IGNORE_OUTPUT
81

You can also use custom Cone Search database, say, ``'my_vo_database.json'``
from :ref:`VO database examples <vo-sec-client-db-manip-examples>`:

>>> import os
>>> from astroquery.vo_conesearch import conf
>>> conf.vos_baseurl = os.curdir
>>> conf.conesearch_dbname = 'my_vo_database'
>>> conesearch.list_catalogs()
['My Catalog 1']
>>> result = conesearch.conesearch(c, sr)  # doctest: +SKIP
Trying http://ex.org/cgi-bin/cs.pl?
WARNING: NoResultsWarning: None of the available catalogs returned valid results. (1 URL(s) timed out.) [...]
