Jump 2.0 Python client — standalone, pip-installable, works in JupyterHub or locally.
Project description
jump2-client
Standalone Python client for the Jump 2.0 astronomical data portal.
Works in JupyterHub (zero-config — credentials injected at spawn) or locally with an API key.
Install
pip install jump2-client
# or, from source:
cd client && uv sync
Requirements: Python ≥ 3.11, requests, sqlglot ≥ 25.0.
Quick start
from jump2_client import Client
# In JupyterHub — no setup needed:
c = Client()
c.status() # connectivity + ACL check
c.discover() # browse the API endpoint catalogue
c.docs # print cheat-sheet
# Locally:
c = Client(base_url="https://jump2.example.org", api_key="jump2_live_…")
Data access
# Raw SQL → DataFrame (RLS enforced server-side):
df = c.data.query("SELECT url_slug, vmag FROM core_star ORDER BY vmag LIMIT 20")
# Fluent query builder:
df = (c.data.table("core_star")
.select("url_slug", "vmag", "ra", "dec")
.where(vmag__lt=8)
.order_by("vmag")
.limit(25)
.df())
# Stars and observations:
for star in c.data.stars():
print(star["url_slug"])
Error handling
from jump2_client import AuthError, ValidationError, NotFoundError
try:
df = c.data.query("SELECT * FROM bad_table")
except ValidationError as e:
print(e.detail) # server message
print(e.hint) # remediation hint
Full documentation
See docs/CLIENT.md in the jump2 repository for the complete reference:
authentication modes, URL prefix convention, QueryBuilder operators, admin API, error model,
and key regeneration flow.
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