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)
Project details
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