Skip to main content

A collection of database and message broker connectors for Python applications

Project description

DB Connectors

A Python library providing unified connectors for various databases and message brokers.

Features

  • Kafka Integration: Both consumer and producer connectors using confluent-kafka and quixstreams
  • MinIO/S3 Support: Object storage connector using boto3
  • TimescaleDB/PostgreSQL: Database connector using SQLAlchemy
  • Unified Interface: All connectors inherit from a common base class

Installation

pip install db-connectors

Quick Start

Kafka Producer

from db_connectors import KafkaProducerConnector

producer = KafkaProducerConnector(
    address="localhost",
    port=9092,
    target="my-topic"
)
producer.connect()
producer.produce_message("Hello, Kafka!")
producer.disconnect()

MinIO Connector

from db_connectors import MinIOConnector

minio = MinIOConnector(
    address="localhost",
    port=9000,
    target="my-bucket"
)
minio.connect()
minio.upload_object("file.txt", "Hello, MinIO!")
minio.disconnect()

TimescaleDB Connector

from db_connectors import TimescaleConnector

timescale = TimescaleConnector(
    address="localhost",
    port=5432,
    target="mydb"
)
timescale.connect()
# Use timescale.engine for SQLAlchemy operations
timescale.disconnect()

Available Connectors

  • Connector - Base abstract class
  • KafkaConnector - Kafka consumer using quixstreams
  • KafkaProducerConnector - Kafka producer using confluent-kafka
  • MinIOConnector - MinIO/S3 object storage
  • TimescaleConnector - TimescaleDB/PostgreSQL database

Requirements

  • Python >= 3.12
  • confluent-kafka >= 2.3.0
  • quixstreams >= 2.0.0
  • boto3 >= 1.34.0
  • sqlalchemy >= 2.0.0
  • psycopg2-binary >= 2.9.0

License

MIT License

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

db_connectors-0.1.0.tar.gz (63.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

db_connectors-0.1.0-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file db_connectors-0.1.0.tar.gz.

File metadata

  • Download URL: db_connectors-0.1.0.tar.gz
  • Upload date:
  • Size: 63.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for db_connectors-0.1.0.tar.gz
Algorithm Hash digest
SHA256 58a447b61526d8c81a228ad7203e7b6102fb74fefc0efed5552110221ea71492
MD5 d33df6c5414b85ec046c8eec588aff9b
BLAKE2b-256 cb50d73c23a23e690ed74b5d3703fe3dff0aef77ca1db92913f9109373d24ccd

See more details on using hashes here.

File details

Details for the file db_connectors-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: db_connectors-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 8.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for db_connectors-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c242ee0a8e385fc4c822a9153b86e0dd8deafcaab395fedda6ffcadcc137979f
MD5 2a84f8a18f989346ef615db8cdc728bb
BLAKE2b-256 cb1d2c55f1213607832c0ec00c7d7ba68fc6ec64a4fa166824c5e96c3e699cb9

See more details on using hashes here.

Supported by

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