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-0.12.0.tar.gz (34.7 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-0.12.0-py3-none-any.whl (43.4 kB view details)

Uploaded Python 3

File details

Details for the file depeche_db-0.12.0.tar.gz.

File metadata

  • Download URL: depeche_db-0.12.0.tar.gz
  • Upload date:
  • Size: 34.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for depeche_db-0.12.0.tar.gz
Algorithm Hash digest
SHA256 aa772ea253398d2e67b63731600f3bdd4ebc57e8efbe1c173a3f041a864a559c
MD5 1df460f33cd59e434fae3f6759dcf3fc
BLAKE2b-256 25f2127a8604130db598ae4d0144bd3c0a46480df792e6c99d1bdcd1f3c76209

See more details on using hashes here.

File details

Details for the file depeche_db-0.12.0-py3-none-any.whl.

File metadata

  • Download URL: depeche_db-0.12.0-py3-none-any.whl
  • Upload date:
  • Size: 43.4 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-0.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 45a87dd14a5fe680b16d75f9eb1570f913bfca8685b07917ae462fb6d7c15dd6
MD5 ec069c5951ea6516f091ecd43c129fe3
BLAKE2b-256 8f1c48f6621524ef05a72a4a060a8a6aa9b37ac6b29e07783a26b133decdd730

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