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-0.12.2rc1.tar.gz (39.2 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-0.12.2rc1-py3-none-any.whl (48.9 kB view details)

Uploaded Python 3

File details

Details for the file depeche_db-0.12.2rc1.tar.gz.

File metadata

  • Download URL: depeche_db-0.12.2rc1.tar.gz
  • Upload date:
  • Size: 39.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for depeche_db-0.12.2rc1.tar.gz
Algorithm Hash digest
SHA256 1a2e1336b5d32d2deac9a8cdd47bd45f2d00fc1ec77e4a7277263dd0eda47494
MD5 dac7db08dfe32cd396beb4e88eab1e16
BLAKE2b-256 939f7a560f2ffcbe9ddf17442c66870b3aafd8c6088193ab176af493e89d3343

See more details on using hashes here.

File details

Details for the file depeche_db-0.12.2rc1-py3-none-any.whl.

File metadata

  • Download URL: depeche_db-0.12.2rc1-py3-none-any.whl
  • Upload date:
  • Size: 48.9 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-0.12.2rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 bc1aa3e509a30d47cedd2505e514d952bfa5990cfc05f800307ca78a0327e67d
MD5 311c18225977115cf457988484de5b84
BLAKE2b-256 5e1a1a6a92c3eeb1014e1c5acb909959299cc71ffac7dfcaa6c748305ac6be65

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