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Eventing infrastructure for event sourced architectures.

Project description

logicblocks.event.store

PyPI - Version Python - Version Documentation Status CircleCI

Eventing infrastructure for event sourced architectures.

Table of Contents

Installation

pip install logicblocks.event.store

Usage

Basic Example

from collections.abc import Dict

from logicblocks.event.store import EventStore, adapters
from logicblocks.event.types import NewEvent, StreamIdentifier
from logicblocks.event.projection import Projector

adapter = adapters.InMemoryEventStorageAdapter()
store = EventStore(adapter)

stream = store.stream(category="profiles", stream="joe.bloggs")
stream.publish(
    events=[
        NewEvent(
            name="profile-created",
            payload={
                "name": "Joe Bloggs",
                "email": "joe.bloggs@example.com"
            }
        )
    ])
stream.publish(
    events=[
        NewEvent(
            name="date-of-birth-set",
            payload={
                "dob": "1992-07-10"
            }
        )
    ]
)

class ProfileProjector(
    Projector[Dict[str, str], 
    StreamIdentifier, 
    Dict[str, str]]
):
    def initial_state_factory(self) -> Dict[str, str]:
        return {}

    def initial_metadata_factory(self) -> Dict[str, str]:
        return {}

    def id_factory(self, state, source: StreamIdentifier) -> str:
        return source.stream

    def profile_created(self, state, event):
        state['name'] = event.payload['name']
        state['email'] = event.payload['email']
        return state

    def date_of_birth_set(self, state, event):
        state['dob'] = event.payload['dob']
        return state

projector = ProfileProjector()
projection = projector.project(stream)
profile = projection.state

# profile == {
#   "name": "Joe Bloggs", 
#   "email": "joe.bloggs@example.com", 
#   "dob": "1992-07-10"
# }

Features

  • Event modelling:
    • Log / category / stream based: events are grouped into logs of categories of streams.
    • Arbitrary payloads and metadata: events can have arbitrary payloads and metadata limited only by what the underlying storage backend can support.
    • Bi-temporality support: events included timestamps for both the time the event was created and the time the event was recorded in the log.
  • Event storage:
    • Immutable and append only: the event store is modelled as an append-only log of immutable events.
    • Consistency guarantees: concurrent stream updates can optionally be handled with optimistic concurrency control.
    • Write conditions: an extensible write condition system allows pre-conditions to be evaluated before publish.
    • Ordering guarantees: event writes are serialised (currently at log level) to guarantee consistent ordering at scan time.
    • Thread safety: the event store is thread safe and can be used in multithreaded applications.
  • Storage adapters:
    • Storage adapter abstraction: adapters are provided for different storage backends, currently including:
      • an in-memory implementation for testing and experimentation; and
      • a PostgreSQL backed implementation for production use.
    • Extensible to other backends: the storage adapter abstract base class is designed to be relatively easily implemented to support other storage backends.
  • Projections:
    • Reduction: event sequences can be reduced to a single value, a projection, using a projector.
    • Versioning: projections are versioned based on some attribute of the last event processed (position, sequence number, etc).
    • Storage: coming soon.
    • Snapshotting: coming soon.
  • Types:
    • Type hints: includes type hints for all public classes and functions.
    • Value types: includes serialisable value types for identifiers, events and projections.
    • Pydantic support: coming soon.
  • Testing utilities:
    • Builders: includes builders for events to simplify testing.
    • Data generators: includes random data generators for events and event attributes.
    • Storage adapter tests: includes tests for storage adapters to ensure consistency across implementations.

Documentation

Development

To run the full pre-commit build:

./go

To run tests:

./go library:test:all          # all tests
./go library:test:unit         # unit tests
./go library:test:integration  # integration tests

To perform linting:

./go library:lint:check  # check linting rules are met
./go library:lint:fix    # attempt to fix linting issues

To format code:

./go library:format:check  # check code formatting
./go library:format:fix    # attempt to fix code formatting

To run type checking:

./go library:type:check  # check type hints

To build packages:

./go library:build

To see all available tasks:

./go -T

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/logicblocks/event.store. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

License

Copyright © 2024 LogicBlocks Maintainers

Distributed under the terms of the MIT License.

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