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

Project description

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)

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