From 3033d4bd4d28925291d96ac4adc102b408e7a62b Mon Sep 17 00:00:00 2001 From: Rachel Street Date: Tue, 14 Jan 2025 11:54:09 -0800 Subject: [PATCH] Bug/vizier queries (#3) * Updated poetry file dependencies. Updated Vizier catalog queries to new archive URLs, matched updated vizier query return list formats, added support for Gaia DR3, fixed Gaia Catalog test * Added direct test for vizier query tools * Grouping imports together --- .../logistics/GaiaTools/GaiaCatalog.py | 11 +- .../logistics/vizier_tools.py | 29 +- .../tests/test_logistics.py | 44 +- poetry.lock | 1272 +++++++++++++++++ pyproject.toml | 3 +- 5 files changed, 1331 insertions(+), 28 deletions(-) create mode 100644 poetry.lock diff --git a/microlensing_photometry/logistics/GaiaTools/GaiaCatalog.py b/microlensing_photometry/logistics/GaiaTools/GaiaCatalog.py index d656fb3..48a10c8 100644 --- a/microlensing_photometry/logistics/GaiaTools/GaiaCatalog.py +++ b/microlensing_photometry/logistics/GaiaTools/GaiaCatalog.py @@ -2,6 +2,7 @@ import astropy.units as u from astropy.coordinates import SkyCoord import numpy as np +from os import path from microlensing_photometry.logistics import vizier_tools @@ -23,21 +24,23 @@ def collect_Gaia_catalog(ra,dec,radius=15,row_limit = 10000,catalog_name='Gaia_c ------- gaia_catalog : astropy.Table, sorted by magnitude (brighter to fainter) """ + catalog_path = path.join(catalog_path, catalog_name) try: from astropy.table import Table - gaia_catalog = Table.read(catalog_name, format='ascii') + gaia_catalog = Table.read(catalog_path, format='ascii') except: - gaia_catalog = vizier_tools.search_vizier_for_sources(ra, dec, radius, 'Gaia-EDR3', row_limit=-1, - coords='degree', log=None, debug=False) + gaia_catalog = vizier_tools.search_vizier_for_sources(ra, dec, radius, 'Gaia-DR3', row_limit=-1, + coords='degree', log=None, debug=True) + mask = np.isfinite(gaia_catalog['phot_g_mean_flux']) sub_gaia_catalog = gaia_catalog[mask] sub_gaia_catalog = sub_gaia_catalog[sub_gaia_catalog['phot_g_mean_flux'].argsort()[::-1],] - sub_gaia_catalog.write(catalog_name, format='ascii') + sub_gaia_catalog.write(catalog_path, format='ascii') gaia_catalog = sub_gaia_catalog diff --git a/microlensing_photometry/logistics/vizier_tools.py b/microlensing_photometry/logistics/vizier_tools.py index 0b4c85b..0ace4f4 100644 --- a/microlensing_photometry/logistics/vizier_tools.py +++ b/microlensing_photometry/logistics/vizier_tools.py @@ -50,11 +50,20 @@ def search_vizier_for_sources(ra, dec, radius, catalog, row_limit=-1, 'pmDE':'pm_dec', 'e_pmDE':'pm_dec_error', 'Plx':'parallax', 'e_Plx': 'parallax_error'}, #'parallax':'parallax', 'parallax_error': 'parallax_error'}, - {}] + {}], + 'Gaia-DR3': ['I/355/gaiadr3', + {'RA_ICRS': 'ra', 'DE_ICRS': 'dec', 'Source': 'source_id', + 'e_RA_ICRS': 'ra_error', 'e_DE_ICRS': 'dec_error', + 'FG': 'phot_g_mean_flux', 'e_FG': 'phot_g_mean_flux_error', + 'FBP': 'phot_bp_mean_flux', 'e_FBP': 'phot_bp_mean_flux_error', + 'FRP': 'phot_rp_mean_flux', 'e_FRP': 'phot_rp_mean_flux_error', + 'PM': 'pm', 'pmRA': 'pm_ra', 'e_pmRA': 'pm_ra_error', + 'pmDE': 'pm_dec', 'e_pmDE': 'pm_dec_error', + 'Plx': 'parallax', 'e_Plx': 'parallax_error'}, + {}], } (cat_id,cat_col_dict,cat_filters) = supported_catalogs[catalog] - if catalog=='Gaia-EDR3': v = Vizier(column_filters=cat_filters) else: @@ -62,7 +71,6 @@ def search_vizier_for_sources(ra, dec, radius, catalog, row_limit=-1, column_filters=cat_filters) v = Vizier(column_filters=cat_filters) - v.ROW_LIMIT = row_limit if 'sexigesimal' in coords: @@ -75,12 +83,11 @@ def search_vizier_for_sources(ra, dec, radius, catalog, row_limit=-1, catalog_list = Vizier.find_catalogs(cat_id) (status, result) = query_vizier_servers(v, c, r, [cat_id], debug=debug) - - if result != None and len(result) == 1: + if result != None and len(result) > 0: col_list = [] for col_id, col_name in cat_col_dict.items(): - col = table.Column(name=col_name, data=result[0][col_id].data) + col = table.Column(name=col_name, data=result[col_id].data) col_list.append(col) result = table.Table( col_list ) @@ -111,7 +118,7 @@ def query_vizier_servers(query_service, coord, search_radius, catalog_id, log=No result : astropy.Table, an astropy.Table containing the catalog """ - vizier_servers_list = ['vizier.cfa.harvard.edu', 'vizier.hia.nrc.ca', 'vizier.u-strasbg.fr'] + vizier_servers_list = ['vizier.cds.unistra.fr', 'vizier.cfa.harvard.edu'] query_service.VIZIER_SERVER = vizier_servers_list[0] @@ -132,6 +139,7 @@ def query_vizier_servers(query_service, coord, search_radius, catalog_id, log=No log.warning('Searching catalog server '+repr(query_service.VIZIER_SERVER)) try: + # Query_region now returns a TableList object, so we need to extract the result result = query_service.query_region(coord, radius=search_radius, catalog=catalog_id) # Handle long timeout requests: @@ -159,14 +167,15 @@ def query_vizier_servers(query_service, coord, search_radius, catalog_id, log=No return status, result - if result == None or len(result) > 0: - continue_query = False - elif len(result) == 0: + if result == None or len(result) == 0: iserver += 1 if iserver >= len(vizier_servers_list): continue_query = False result = [] status = False + elif len(result) > 0: + continue_query = False + result = result[0] return status, result diff --git a/microlensing_photometry/tests/test_logistics.py b/microlensing_photometry/tests/test_logistics.py index c2478d0..62fe15a 100644 --- a/microlensing_photometry/tests/test_logistics.py +++ b/microlensing_photometry/tests/test_logistics.py @@ -5,28 +5,31 @@ import microlensing_photometry.logistics.GaiaTools.GaiaCatalog as GC from microlensing_photometry.astrometry import wcs as lcowcs from microlensing_photometry.logistics import image_tools +from astropy.table import Table +import numpy as np +CWD = getcwd() +TEST_DATA_DIR = path.join(CWD, 'tests/test_output') def test_collect_Gaia_catalog(): ra,dec,radius = 270,-30, 0.1 gaia_catalog = GC.collect_Gaia_catalog(ra,dec,radius=radius,row_limit = 10000,catalog_name='Gaia_catalog.dat', - catalog_path='../') + catalog_path=TEST_DATA_DIR) assert len(gaia_catalog) == 5 - assert np.allclose(gaia_catalog['phot_g_mean_flux'].value,np.array([3687.1 , 822.27, 742.57, 251.3 , 201.87]), - atol = 0.01) - - filename = './Gaia_catalog.dat' - checkfile = path.isfile(filename) - assert checkfile + assert np.allclose( + gaia_catalog['phot_g_mean_flux'].value, + np.array([3687.07248 , 830.04544, 747.28028, 252.18597 , 201.87001]), + atol = 0.01 + ) - remove(filename) + filepath = path.join(TEST_DATA_DIR, 'Gaia_catalog.dat') + assert(path.isfile(filepath)) + remove(filepath) -import numpy as np - def test_build_image(): size = 4096 @@ -44,6 +47,21 @@ def test_build_image(): def test_vizier_tools(): - pass - - #Did not find test in the original pyDANDIA so I pass for time been + test_ra = 299.590 + test_dec = 35.201 + test_radius = 0.1 + + source_catalog = vizier_tools.search_vizier_for_sources( + test_ra, + test_dec, + test_radius, + 'Gaia-DR3', + row_limit=-1, + coords='degree', + log=None, + debug=True + ) + + assert(type(source_catalog) == type(Table([]))) + 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