I get this error but I am not sure what's the issue or what's the workaround. Any help it would be great!
Cheers,
Lydia
Exception Traceback (most recent call last)
File ~/miniconda3/lib/python3.10/site-packages/fleet_pipe-1.0.0-py3.10.egg/FLEET/catalog.py:1100, in get_catalog(object_name, ra_deg, dec_deg, search_radius, dust_map, reimport_catalog)
1099 try:
-> 1100 data_catalog_in = query_relevant(ra_deg, dec_deg, search_radius, dust_map = dust_map)
1101 except:
File ~/miniconda3/lib/python3.10/site-packages/fleet_pipe-1.0.0-py3.10.egg/FLEET/catalog.py:992, in query_relevant(ra_deg, dec_deg, search_radius, dust_map)
991 # Query Catalogs
--> 992 catalog_3pi = query_3pi (ra_deg, dec_deg, search_radius)
993 catalog_SDSS = query_SDSS(ra_deg, dec_deg, search_radius)
File ~/miniconda3/lib/python3.10/site-packages/fleet_pipe-1.0.0-py3.10.egg/FLEET/catalog.py:284, in query_3pi(ra_deg, dec_deg, search_radius)
283 jobs = mastcasjobs.MastCasJobs(userid=wsid, password=password, context="PanSTARRS_DR1")
--> 284 results = jobs.quick(la_query, task_name="python cone search")
286 # For New format
File ~/miniconda3/lib/python3.10/site-packages/mastcasjobs-0.0.5-py3.10.egg/mastcasjobs/__init__.py:152, in MastCasJobs.quick(self, q, context, task_name, system, astropy)
132 """
133 Run a quick job. Like CasJobs method but adds astropy option.
134
(...)
150
151 """
--> 152 results = super(MastCasJobs,self).quick(q, context=context, task_name=task_name, system=system)
153 if astropy:
File ~/miniconda3/lib/python3.10/site-packages/casjobs-0.0.2-py3.10.egg/casjobs.py:175, in CasJobs.quick(self, q, context, task_name, system)
173 params = {"qry": q, "context": context, "taskname": task_name,
174 "isSystem": system}
--> 175 r = self._send_request("ExecuteQuickJob", params=params)
176 return self._parse_single(r.text, "string")
File ~/miniconda3/lib/python3.10/site-packages/casjobs-0.0.2-py3.10.egg/casjobs.py:103, in CasJobs._send_request(self, job_type, params)
102 msg = self._parse_error(r.text)
--> 103 raise Exception("%s failed with status: %d\n%s"%(job_type, code, msg))
104 else:
Exception: ExecuteQuickJob failed with status: 500
A network-related or instance-specific error occurred while establishing a connection to SQL Server. The server was not found or was not accessible. Verify that the instance name is correct and that SQL Server is configured to allow remote connections. (provider: Named Pipes Provider, error: 40 - Could not open a connection to SQL Server) ---> System.Data.SqlClient.SqlException: A network-related or instance-specific error occurred while establishing a connection to SQL Server. The server was not found or was not accessible. Verify that the instance name is correct and that SQL Server is configured to allow remote connections. (provider: Named Pipes Provider, error: 40 - Could not open a connection to SQL Server)
During handling of the above exception, another exception occurred:
Exception Traceback (most recent call last)
Cell In[34], line 6
4 for object_name in ts[int(r[i].split(',')[0]):int(r[i].split(',')[1])]:
5 index = ts.index(object_name)
----> 6 s.append(predict_SLSN(object_name,ra[index],dec[index],plot_lightcurve = True))
File ~/miniconda3/lib/python3.10/site-packages/fleet_pipe-1.0.0-py3.10.egg/FLEET/classify.py:560, in predict_SLSN(object_name_in, ra_in, dec_in, redshift, acceptance_radius, import_ZTF, import_OSC, import_local, import_lightcurve, reimport_catalog, search_radius, dust_map, Pcc_filter, Pcc_filter_alternative, star_separation, star_cut, date_range, late_phase, n_walkers, n_steps, n_cores, model, training_days, hostless_cut, sorting_state, clean, SMOTE_state, clf_state, n_estimators, max_depth, feature_set, neighbors, recalculate_nature, classifier, n_samples, object_class, plot_lightcurve, do_observability, save_features, use_glade)
555 return table.Table()
559 ########## Catalog Operations ##########
--> 560 data_catalog_out, catalog_exists = get_catalog(object_name, ra_deg, dec_deg, search_radius, dust_map, reimport_catalog)
561 # If there's no catalog, return empty
562 if len(data_catalog_out) == 0:
File ~/miniconda3/lib/python3.10/site-packages/fleet_pipe-1.0.0-py3.10.egg/FLEET/catalog.py:1102, in get_catalog(object_name, ra_deg, dec_deg, search_radius, dust_map, reimport_catalog)
1100 data_catalog_in = query_relevant(ra_deg, dec_deg, search_radius, dust_map = dust_map)
1101 except:
-> 1102 data_catalog_in = query_relevant(ra_deg, dec_deg, search_radius, dust_map = dust_map)
1103 if data_catalog_in:
1104 pass
File ~/miniconda3/lib/python3.10/site-packages/fleet_pipe-1.0.0-py3.10.egg/FLEET/catalog.py:992, in query_relevant(ra_deg, dec_deg, search_radius, dust_map)
974 '''
975 Query SDSS, 3PI, and the available dust maps, and then merge
976 them into one big catalog
(...)
988 One Astropy table with the merged catalog
989 '''
991 # Query Catalogs
--> 992 catalog_3pi = query_3pi (ra_deg, dec_deg, search_radius)
993 catalog_SDSS = query_SDSS(ra_deg, dec_deg, search_radius)
995 if len(catalog_3pi) + len(catalog_SDSS) == 0:
File ~/miniconda3/lib/python3.10/site-packages/fleet_pipe-1.0.0-py3.10.egg/FLEET/catalog.py:284, in query_3pi(ra_deg, dec_deg, search_radius)
282 print('Querying 3PI ...')
283 jobs = mastcasjobs.MastCasJobs(userid=wsid, password=password, context="PanSTARRS_DR1")
--> 284 results = jobs.quick(la_query, task_name="python cone search")
286 # For New format
287 if type(results) != str:
File ~/miniconda3/lib/python3.10/site-packages/mastcasjobs-0.0.5-py3.10.egg/mastcasjobs/__init__.py:152, in MastCasJobs.quick(self, q, context, task_name, system, astropy)
131 def quick(self, q, context=None, task_name="quickie", system=False, astropy=True):
132 """
133 Run a quick job. Like CasJobs method but adds astropy option.
134
(...)
150
151 """
--> 152 results = super(MastCasJobs,self).quick(q, context=context, task_name=task_name, system=system)
153 if astropy:
154 return MastCasJobs.convert_quick_table(results)
File ~/miniconda3/lib/python3.10/site-packages/casjobs-0.0.2-py3.10.egg/casjobs.py:175, in CasJobs.quick(self, q, context, task_name, system)
172 context = self.context
173 params = {"qry": q, "context": context, "taskname": task_name,
174 "isSystem": system}
--> 175 r = self._send_request("ExecuteQuickJob", params=params)
176 return self._parse_single(r.text, "string")
File ~/miniconda3/lib/python3.10/site-packages/casjobs-0.0.2-py3.10.egg/casjobs.py:103, in CasJobs._send_request(self, job_type, params)
101 if hasattr(r,'text') and r.text:
102 msg = self._parse_error(r.text)
--> 103 raise Exception("%s failed with status: %d\n%s"%(job_type, code, msg))
104 else:
105 raise Exception("%s failed with status: %d (no additional information)"%(job_type, code))
Exception: ExecuteQuickJob failed with status: 500
A network-related or instance-specific error occurred while establishing a connection to SQL Server. The server was not found or was not accessible. Verify that the instance name is correct and that SQL Server is configured to allow remote connections. (provider: Named Pipes Provider, error: 40 - Could not open a connection to SQL Server) ---> System.Data.SqlClient.SqlException: A network-related or instance-specific error occurred while establishing a connection to SQL Server. The server was not found or was not accessible. Verify that the instance name is correct and that SQL Server is configured to allow remote connections. (provider: Named Pipes Provider, error: 40 - Could not open a connection to SQL Server)
Hi,
I get this error but I am not sure what's the issue or what's the workaround. Any help it would be great!
Cheers, Lydia