Gaia SIF data retrieval issue
- Dominant language
- Python
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Description
I’m trying to retrieve the Gaia SIF/FPR data for our variable-star pipeline, specifically the `crowded_field_source` table.
I’m currently unable to connect to the Gaia TAP service.
### Reproduction
Running:
```bash
curl -I "https://gea.esac.esa.int/tap-server/tap/availability"
```
returns:
```text
curl: (56) Recv failure: Connection reset by peer
```
I also get the same issue through `astroquery`:
```python
from astroquery.gaia import Gaia
Gaia.load_tables(only_names=True)
```
Output:
```text
INFO: Retrieving tables... [astroquery.utils.tap.core]
Remote end closed connection without response
```
The intended query is:
```sql
SELECT TOP 10 *
FROM gaiadr3.crowded_field_source
```
But the connection fails before the query can be executed.
```
^^^^^^^^^^^^^^^^^^
File "/opt/homebrew/Cellar/python@3.11/3.11.15/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 1415, in getresponse
response.begin()
File "/opt/homebrew/Cellar/python@3.11/3.11.15/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 330, in begin
version, status, reason = self._read_status()
^^^^^^^^^^^^^^^^^^^
File "/opt/homebrew/Cellar/python@3.11/3.11.15/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 299, in _read_status
raise RemoteDisconnected("Remote end closed connection without"
http.client.RemoteDisconnected: Remote end closed connection without response
```
Could someone confirm if the Gaia TAP service is currently accessible and whether `crowded_field_source` can be queried programmatically?
Contributor guide
Research direction
Start by running the reported curl request against the Gaia TAP availability endpoint and then reproduce the failure with astroquery.gaia.Gaia.load_tables(only_names=True). Check whether the service is reachable and whether the stated gaiadr3.crowded_field_source query works programmatically; done means documenting confirmed availability or a reproducible project-side failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100