A Python SDK for Tinybird 🐦

Overview

Verdin

PyPI Version PyPI License Code style: black

Verdin is a tiny bird, and also a Python SDK for Tinybird .

Install

pip install verdin

Usage

Query a Pipe

# the tinybird module exposes all important tinybird concepts
from verdin import tinybird

client = tinybird.Client("p.mytoken")
pipe = client.pipe("my_pipe")

# query the pipe using dynamic parameters
response: tinybird.PipeJsonResponse = pipe.query({"key": "val"})

# print records returned from the pipe
print(response.data)

Append to a DataSource

from verdin import tinybird

client = tinybird.Client("p.mytoken")

# will access my_datasource__v0
datasource = client.datasource("my_datasource", version=0)

# query the pipe using dynamic parameters
datasource.append([
    ("col1-row1", "col2-row1"),
    ("col1-row2", "col2-row2"),
])

Queue and batch records into a DataSource

Verdin provides a way to queue and batch data continuously:

from queue import Queue
from threading import Thread

from verdin import tinybird
from verdin.worker import QueuingDatasourceAppender

client = tinybird.Client("p.mytoken")

records = Queue()

appender = QueuingDatasourceAppender(records, client.datasource("my_datasource"))
Thread(target=appender.run).start()

# appender will regularly read batches of data from the queue and append them
# to the datasource. the appender respects rate limiting.

records.put(("col1-row1", "col2-row1"))
records.put(("col1-row2", "col2-row2"))

Develop

Create the virtual environment, install dependencies, and run tests

make venv
make test

Run the code formatter

make format

Upload the pypi package using twine

make upload
Owner
LocalStack
Enabling efficient local dev&test loops for Cloud applications
LocalStack
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