cube-http-client

Pythonic HTTP client for Cube.dev REST API (sync + async support)

Installation

pip install cube-http-client

Quickstart

import cube_http

cube = cube_http.Client({"url": "...", "token": "..."})

# get metadata
meta = cube.v1.meta()

# load query results
results = cube.v1.load({
    "measures": ["..."],
    "dimensions": ["..."],
})

# compile to SQL
compiled_sql = cube.v1.sql({
    "measures": ["..."],
    "dimensions": ["..."],
})

Support Coverage

Endpoint	Description	Supported?
/v1/load	Get the data for a query.	✅
/v1/sql	Get the SQL Code generated by Cube to be executed in the database.	✅
/v1/meta	Get meta-information for cubes and views defined in the data model. Information about cubes and views with public: false will not be returned.	✅
/v1/run-scheduled-refresh	Trigger a scheduled refresh run to refresh pre-aggregations.	❌
/v1/pre-aggregations/jobs	Trigger pre-aggregation build jobs or retrieve statuses of such jobs.	❌
/readyz	Returns the ready state of the deployment.	❌
/livez	Returns the liveness state of the deployment. This is confirmed by testing any existing connections to dataSource. If no connections exist, it will report as successful.	❌

Usage

Synchronous

import cube_http

cube = cube_http.Client(...)

Asynchronous

import cube_http

cube = cube_http.AsyncClient(...)

Error handling

Error classes are available for each endpoint. For example, handling an API error when calling /v1/meta endpoint:

import cube_http
from cube_http.exc.v1 import V1MetaError

cube = cube_http.Client(...)

try:
    meta = cube.v1.meta()
except V1MetaError as e:
    print(e)