Skip to main content

datasherlock

Project description

Sherlock

Introduction

The Datasherlock Python SDK allows you to seamlessly integrate Datasherlock's powerful database querying capabilities into your Python applications. With this SDK, you can interact with Datasherlock's cloud-based service to register your database, ask queries, and retrieve valuable insights without the need for complex SQL queries.

This documentation will guide you through the installation process, usage of the SDK, and provide examples to help you get started.

Installation

You can install the Datasherlock Python SDK using pip:

pip install datasherlock

Quick Start

Before using the Datasherlock Python SDK, ensure that you have already registered your agent with the Datasherlock cloud. If you haven't done so, please refer to the Datasherlock platform documentation on agent registration.

Once your agent is registered, you can start using the Python SDK as follows:

from datasherlock import DataSherlock

# Initialize the DataSherlock SDK with api token and database configuration
sherlock = DataSherlock(token="YOUR_API_TOKEN", db_type="mysql", db_config={
    'host': "localhost",
    'database': "employees",
    'user': "root",
    'port': 3306,
    'password': "college",
    'ssl_disabled': True
})

# Register your database with Datasherlock
registration_result = sherlock.register("employees")
print(registration_result)

# Ask a query to retrieve insights, Ask will return you pandas dataframe 
query_result = sherlock.ask("List of department")
print(query_result)

DataSherlock Class

  • token: Your API access token obtained during registration.
  • db_type: The type of the database you're using (e.g., "mysql").
  • region: Datasherlock region.
  • db_config: A dictionary containing your database configuration, including host, database name, user, port, password, and SSL settings.

SDK Methods

  • register(database_name): Registers your database with Datasherlock.
  • ask(query): Submits a query to Datasherlock and retrieves the result.
  • list(): Retrieves a list of available queries from Datasherlock.
  • db(): Retrieves a db client.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datasherlock-0.0.28.tar.gz (21.7 kB view details)

Uploaded Source

File details

Details for the file datasherlock-0.0.28.tar.gz.

File metadata

  • Download URL: datasherlock-0.0.28.tar.gz
  • Upload date:
  • Size: 21.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.8.10

File hashes

Hashes for datasherlock-0.0.28.tar.gz
Algorithm Hash digest
SHA256 3d912659c5ec86d2df3e93c14793705a5b613b8081f56b34028d76853fc04b1e
MD5 e72b35508cdb16df5207da4808113502
BLAKE2b-256 c3473367d836c9fc85b9c3dc1a705b88497655a8ea516bcee04c5d68648f092f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page