Skip to main content

A library for building event-based systems on top of PostgreSQL

Project description

Depeche DB

A library for building event-based systems on top of PostgreSQL

Tests pypi versions Docs license


Documentation: https://depeche-py.github.io/depeche-db/

Source code: https://github.com/depeche-py/depeche-db


Depeche DB is modern Python library for building event-based systems

Key features:

  • Message store with optimistic concurrency control & strong ordering guarantees
  • Subscriptions with "at least once" semantics
  • Parallel processing of (partitioned) subscriptions
  • No database polling

Requirements

Python 3.9+ SQLAlchemy 1.4 or 2+ PostgreSQL 12+ Psycopg (Version 2 >= 2.9.3 or Version 3 >= 3.1)

Installation

pip install depeche-db
# OR
poetry add depeche-db

Example

import pydantic, sqlalchemy, uuid, datetime as dt

from depeche_db import (
    MessageStore,
    StoredMessage,
    MessageHandler,
    SubscriptionMessage,
)
from depeche_db.tools import PydanticMessageSerializer

DB_DSN = "postgresql://depeche:depeche@localhost:4888/depeche_demo"
db_engine = sqlalchemy.create_engine(DB_DSN)


class MyMessage(pydantic.BaseModel):
    content: int
    message_id: uuid.UUID = pydantic.Field(default_factory=uuid.uuid4)
    sent_at: dt.datetime = pydantic.Field(default_factory=dt.datetime.utcnow)

    def get_message_id(self) -> uuid.UUID:
        return self.message_id

    def get_message_time(self) -> dt.datetime:
        return self.sent_at


message_store = MessageStore[MyMessage](
    name="example_store",
    engine=db_engine,
    serializer=PydanticMessageSerializer(MyMessage),
)
message_store.write(stream="aggregate-me-1", message=MyMessage(content=2))
print(list(message_store.read(stream="aggregate-me-1")))
# [StoredMessage(message_id=UUID('...'), stream='aggregate-me-1', version=1, message=MyMessage(content=2, message_id=UUID('...'), sent_at=datetime.datetime(...)), global_position=1)]


class ContentMessagePartitioner:
    def get_partition(self, message: StoredMessage[MyMessage]) -> int:
        return message.message.content % 10


class MyHandlers(MessageHandler[MyMessage]):
    @MessageHandler.register
    def handle_message(self, message: SubscriptionMessage[MyMessage]):
        print(message)


aggregated_stream = message_store.aggregated_stream(
    name="aggregated",
    partitioner=ContentMessagePartitioner(),
    stream_wildcards=["aggregate-me-%"],
)
subscription = aggregated_stream.subscription(
    name="example_subscription",
    handlers=MyHandlers(),
)

aggregated_stream.projector.run()
subscription.runner.run()
# MyHandlers.handle_message prints:
# SubscriptionMessage(partition=2, position=0, stored_message=StoredMessage(...))

Contribute

Contributions in the form of issues, questions, feedback and pull requests are welcome. Before investing a lot of time, let me know what you are up to so we can see if your contribution fits the vision of the project.

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

depeche_db-0.11.0rc1.tar.gz (33.9 kB view details)

Uploaded Source

Built Distribution

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

depeche_db-0.11.0rc1-py3-none-any.whl (42.5 kB view details)

Uploaded Python 3

File details

Details for the file depeche_db-0.11.0rc1.tar.gz.

File metadata

  • Download URL: depeche_db-0.11.0rc1.tar.gz
  • Upload date:
  • Size: 33.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for depeche_db-0.11.0rc1.tar.gz
Algorithm Hash digest
SHA256 7c187af41c9847ba65bf3c87929122fe21cc62a283aecc398059532c9a99b1cb
MD5 48b7b6bd2037600183490ef8006f03d5
BLAKE2b-256 7083ed6b1d79b8625ae0192871e108cc77df484903da6d4823da20ab256dae39

See more details on using hashes here.

File details

Details for the file depeche_db-0.11.0rc1-py3-none-any.whl.

File metadata

  • Download URL: depeche_db-0.11.0rc1-py3-none-any.whl
  • Upload date:
  • Size: 42.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for depeche_db-0.11.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 976ca8c77e0bc570255b07a395339e11f6821f7e21661fccdd2378132552a5ce
MD5 ac879bb8748c1fe2064cd4a7b830172d
BLAKE2b-256 ec1affd4aaa32d4b58fd407c6cf54d1dc6651d7d41039a8117185bacf7bc6cce

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