It enables you to connect to a MindsDB server from python using HTTP API.
pip install mindsdb_sdk
Connect:
import mindsdb_sdk
# Connect to local server
server = mindsdb_sdk.connect()
server = mindsdb_sdk.connect('http://127.0.0.1:47334')
# Connect to cloud server
server = mindsdb_sdk.connect(email='a@b.com', password='-')
server = mindsdb_sdk.connect('https://cloud.mindsdb.com', login='a@b.com', password='-')
# Connect to MindsDB Pro
server = mindsdb_sdk.connect('http://<YOUR_INSTANCE_IP>', login='a@b.com', password='-', is_managed=True)Base usage:
# database
databases = server.list_databases()
database = databases[0] # Database type object
# sql query
query = database.query('select * from table1')
print(query.fetch())
# create table
table = database.create_table('table2', query)
# project
project = server.get_project('proj')
# sql query
query = project.query('select * from database.table join model1')
# create view
view = project.create_view(
'view1',
query=query
)
# get view
views = project.list_views()
view = views[0]
df = view.fetch()
# get model
models = project.list_models()
model = models[0]
# using model
result_df = model.predict(df)
result_df = model.predict(query)
# create model
model = project.create_model(
'rentals_model',
predict='price',
query=query,
)More examples in Google colab notebook
Api documentation can be found in: https://mindsdb.github.io/mindsdb_python_sdk/
Generating api docs:
Locally:
cd docs
pip install -r requirements.txt
make html
Online documentation is updated by pushing in docs branch
It runs all tests for components
env PYTHONPATH=./ pytest