umadb 0.5.1

Python client for UmaDB event store

UmaDB Python Client

The Python package umadb provides a synchronous client for reading and appending events to UmaDB over its gPRC API using Rust-powered bindings via PyO3.

It is adapted into the Python eventsourcing library via the eventsourcing-umadb package.

Installation

From PyPI

To install with pip, create and activate a virtual environment, then:

pip install umadb

Connecting to UmaDB

Use the Client class as the main entry point for connecting to an UmaDB server.

class Client(
    url: str,
    ca_path: str | None = None,
    api_key: str | None = None,
    batch_size: int | None = None,
):
    ...

Parameters

Name	Type	Description
url	str	Required connection string. If the argument starts with https or grpcs, a secure TLS channel is created; otherwise an insecure channel is used.
ca_path	str|None	Optional path to a PEM-encoded root/CA certificate for TLS connections (useful for self-signed servers).
api_key	str|None	Optional API key used for authenticating with the server.
batch_size	int|None	Optional hint for how many events to buffer per batch when reading. The server may cap this; a sensible default is used if unset..

Connection Examples

from umadb import Client

# Insecure (no TLS)
client = Client("http://localhost:50051")

# Secure with TLS (system CAs)
client = Client("https://example.com:50051")

# Secure with TLS using self-signed CA
client = Client(
    url="https://localhost:50051",
    ca_path="server.pem",
)

# TLS + API key
client = Client(
    url="https://example.com:50051",
    ca_path="server.pem",
    api_key="umadb:example-api-key-4f7c2b1d9e5f4a038c1a",
)

# TLS + API key + batch size hint
client = Client(
    url="https://example.com:50051",
    ca_path="server.pem",
    api_key="umadb:example-api-key-4f7c2b1d9e5f4a038c1a",
    batch_size=1000,
)

Appending Events

The Client.append() method writes new events to an UmaDB server.

def append(
    events: list[Event],
    condition: AppendCondition | None = None,
    tracking_info: TrackingInfo | None = None,
) -> int:
    ...

The Client.append() method can be used to append new Event instances to UmaDB atomically, with an optional append condition, and optional tracking information. Events are written in order.

Conditional appends with event UUIDs are idempotent. The server does not enforce uniqueness of events IDs.

Parameters

Name	Type	Description
events	list[Event]	The list of events to append. Each includes an event type, tags, and data payload.
condition	AppendCondition|None	Optional append condition to ensure no conflicting writes occur.
tracking_info	TrackingInfo|None	Optional tracking information – for event-processing components only.

Return Value

Returns the sequence number (int) of the last successfully appended event from this operation. This value can be used to wait for downstream event-processing components in a CQRS system to become up-to-date.

Example

import uuid

from umadb import AppendCondition, Client, Event, IntegrityError, Query, QueryItem

client = Client("http://localhost:50051")

# Define a consistency boundary (same query you use while reading)
cb = Query(items=[QueryItem(types=["example"], tags=["tag1", "tag2"])])

# Read to build decision model
read_resp = client.read(query=cb)
for r in read_resp:
    print(f"Existing event at {r.position}: {r.event}")

last_known = read_resp.head()
print("Last known position:", last_known)

# Produce a new event with a UUID (for idempotent retries)
ev = Event(
    event_type="example",
    tags=["tag1", "tag2"],
    data=b"Hello, world!",
    uuid=str(uuid.uuid4()),
)

# Append with an optimistic condition: fail if conflicting events exist after last_known
cond = AppendCondition(fail_if_events_match=cb, after=last_known)
position1 = client.append([ev], condition=cond)
print("Appended at:", position1)

# Conflicting append should raise an error (e.g. ValueError)
try:
    client.append(
        [
            Event(
                event_type="example",
                tags=["tag1", "tag2"],
                data=b"Hello, world!",
                uuid=str(uuid.uuid4()),
            )
        ],
        condition=cond,
    )
except IntegrityError as e:
    print("Conflicting event was rejected:", e)

# Idempotent retry with same event UUID and condition should return same commit position
position2 = client.append([ev], condition=cond)
assert position1 == position2
print("Idempotent retry returned position:", position2)

Reading Events

The Client.read() method returns recorded events from an UmaDB server.

def read(
    query: Query | None = None,
    start: int | None = None,
    backwards: bool = False,
    limit: int | None = None,
    subscribe: bool = False,
) -> ReadResponse:
    ...

The Client.read() method can be used both for constructing decision models in a domain layer, and for projecting events into materialized views in CQRS. An optional Query can be provided to select by tags and types.

Parameters

Name	Type	Description
query	Query|None	Optional structured query to filter events (by tags, event types, etc).
start	int|None	Read events from this sequence number. Only events with positions greater than or equal will be returned (or less than or equal if backwards is True.
backwards	bool	If True events will be read backwards, either from the given position or from the last recorded event.
limit	int|None	Optional cap on the number of events to retrieve.
subscribe	bool	Deprecated! If True, keeps the stream open to deliver future events as they arrive.

Return Value

Returns an iterable "read response" instance from which SequencedEvent instances, and the most relevant "last known" sequence number, can be obtained.

Example

from umadb import Client, Query, QueryItem

client = Client("http://localhost:50051")

# Filter by type(s) and tag(s)
q = Query(items=[QueryItem(types=["example"], tags=["tag1", "tag2"])])

resp = client.read(
    query=q, start=None, backwards=False, limit=None, subscribe=False
)
for item in resp:
    print(f"Got event at position {item.position}: {item.event}")

last_known = resp.head()
print("Last known position:", last_known)

Subscriptions

The Client.subscribe() method returns recorded events from an UmaDB server, keeping the stream open to deliver future events as they arrive.

def subscribe(
    query: Query | None = None,
    after: int | None = None,
) -> Subscription:
    ...

The Client.subscribe() method can be used for projecting events into materialized views in CQRS. An optional query can be provided to select by tags and types.

Parameters

Name	Type	Description
query	Query|None	Optional structured query to filter events (by tags, event types, etc).
after	int|None	Read events after this sequence number. Only events with a larger sequence number will be returned.

Return Value

Returns an iterable "subscription" instance from which SequencedEvent instances can be obtained.

Example

from umadb import Client, Query, QueryItem

client = Client("http://localhost:50051")

# Filter by type(s) and tag(s)
q = Query(items=[QueryItem(types=["example"], tags=["tag1", "tag2"])])

# Subscribe to all events
for se in client.subscribe():
    print("New event:", se.position, se.event)
    # Break for demo purposes
    break

Getting Head Position

The Client.head() method returns the position of the last event recorded in an UmaDB server.

def head(self) -> int | None: ...

The Client.head() method can be used for counting the number of recorded events in the database, or for determining the position of the last recorded event when subscribing only to new events.

Return Value

Returns the position (u64) of the last recorded event in the event store, or None if no events have been recorded yet.

Getting Tracking Info

The Client.get_tracking_info() method returns the last recorded position in an upstream sequence of events.

def get_tracking_info(self, source: str) -> int | None: ...

The Client.get_tracking_info() method can be used when starting or resuming an event-processing component. The event-processing component will start by requesting new events from the upstream sequence after this position. The position of an upstream event that has been processed successfully can be recorded atomically when appending new events generated by processing that event.

Parameters

Name	Type	Description
source	str	Upstream source name.

Returns the last recorded upstream position (int), or None if the sequence name is not found.

Event

An Event represents a single event either to be appended or already stored in the event log.

Field	Type	Description
event_type	str	The event’s logical type (e.g. "UserRegistered").
tags	list<str>	Tags assigned to the event (used for filtering and indexing).
data	bytes	Binary payload associated with the event.
uuid	str|None	Unique event ID.

Idempotent support for append operations is activated by setting a UUID on appended events.

Include in:

• Append requests when writing new events to the store.

Included in:

• SequencedEvent objects when the server responds to read requests.

Matched by:

• QueryItem during read() and append() operations.

Append Condition

An AppendCondition causes an append request to fail if events match its Query, optionally after a sequence number.

Field	Type	Description
fail_if_events_match	Query	Query for conflicting events.
after	int|None	Sequence number.

Include in:

• Append requests to define optimistic concurrent control.

To implement a consistency boundary, command handlers can use the same Query used when reading events as the value of fail_if_events_match, and the "head" sequence number received from the read response as the value of after.

Tracking Info

A TrackingInfo instance indicates the source and position of an upstream event.

Field	Type	Description
source	str	Upstream sequence name.
position	int	Upstream sequence number.

Include in:

• Append requests when recording the results of processing an upstream event.

To implement exactly-once semantics in event-processing components, pull events from an upstream source after the last recorded position, then record the upstream positions of upstream events along with new state that results from processing those events. By processing event sequentially in this way, each event will be processed at least once. And by recording tracking information along with new state, the new state will be recorded at most once. The combination of "at least once" processing and "at most once" recording gives "exactly once" semantics from the point of view of consumers of the recorded state.

Query

A Query defines criteria for selecting events in the event store.

Field	Type	Description
items	list[QueryItem]	A list of selection criteria (logical OR).

An Event is selected if any QueryItem matches or the items field is empty.

Include in:

• Read requests to select events returned by the server.
• An AppendCondition to select conflicting events.

Query Item

A QueryItem defines a criterion for matching events.

Field	Type	Description
types	list[str]	List of event types (logical OR).
tags	list[str]	List of tags (logical AND).

A QueryItem will match an `Event if:

• one of its types matches the Event.event_type or its types field is empty; AND
• all of its tags match one of the Event.tags or its tags field is empty.

Sequenced Event

A SequencedEvent represents a recorded Event along with its assigned sequence number.

Field	Type	Description
position	int	The sequence number.
event	Event	The recorded event.

Included in:

• Read responses when the server responds to read requests.

Error Handling

The Python client raises Python exceptions on error:

• Integrity/condition failure: IntegrityError
• Transport/connection errors: TransportError
• Authentication failures: AuthenticationError
• Invalid argument errors: ValueError
• Other internal errors: RuntimeError or OSError

Your application should catch these as appropriate.

Complete Example

import uuid

from umadb import AppendCondition, Client, Event, IntegrityError, Query, QueryItem

# Connect to the gRPC server (TLS + API key)
client = Client(
    url="http://localhost:50051",
)

# Define a consistency boundary
cb = Query(items=[QueryItem(types=["example"], tags=["tag1", "tag2"])])

# Read events for a decision model
read_response = client.read(query=cb)
for result in read_response:
    print(f"Got event at position {result.position}: {result.event}")

# Remember the last-known position
last_known_position = read_response.head()
print("Last known position is:", last_known_position)

# Create an event with a UUID to enable idempotent append
event = Event(
    event_type="example",
    tags=["tag1", "tag2"],
    data=b"Hello, world!",
    uuid=str(uuid.uuid4()),
)

# Append event within the consistency boundary
condition = AppendCondition(fail_if_events_match=cb, after=last_known_position)
commit_position1 = client.append([event], condition=condition)
print("Appended event at position:", commit_position1)

# Append conflicting event — expect an error
try:
    conflicting_event = Event(
        event_type="example",
        tags=["tag1", "tag2"],
        data=b"Hello, world!",
        uuid=str(uuid.uuid4()),  # different UUID
    )
    client.append([conflicting_event], condition=condition)
except IntegrityError as e:
    print("Conflicting event was rejected:", e)

# Idempotent retry — same event ID and condition
print("Retrying to append event at position:", last_known_position)
commit_position2 = client.append([event], condition=condition)
assert commit_position1 == commit_position2
print("Append returned same commit position:", commit_position2)

# Subscribe to all events for a projection
for ev in client.subscribe():
    print(f"Processing event at {ev.position}: {ev.event}")
    if ev.position == commit_position2:
        print("Projection has processed new event!")
        break

Example with Tracking

import uuid

from umadb import (
    AppendCondition,
    Client,
    Event,
    IntegrityError,
    Query,
    QueryItem,
    TrackingInfo,
)

# Connect to the gRPC server (TLS + API key)
client = Client(
    url="http://localhost:50051",
)

# Get last processed upstream event position
last_processed_position = client.get_tracking_info("upstream")

# Pull next unprocessed upstream event...
next_upstream_event_position = 1 + (last_processed_position or 0)

# Construct tracking information from next unprocessed event
tracking_info = TrackingInfo("upstream", next_upstream_event_position)

# Define a consistency boundary
cb = Query(items=[QueryItem(types=["example"], tags=["tag1", "tag2"])])

# Read events for a decision model
read_response = client.read(query=cb)
for result in read_response:
    print(f"Got event at position {result.position}: {result.event}")

# Remember the last-known position
last_known_position = read_response.head()
print("Last known position is:", last_known_position)

# Create an event with a UUID to enable idempotent append
event = Event(
    event_type="example",
    tags=["tag1", "tag2"],
    data=b"Hello, world!",
    uuid=str(uuid.uuid4()),
)

# Append event within the consistency boundary
condition = AppendCondition(fail_if_events_match=cb, after=last_known_position)
commit_position1 = client.append(
    [event], condition=condition, tracking_info=tracking_info
)
print("Appended event at position:", commit_position1)

# Idempotent retry — same event ID and condition
print("Retrying to append event at position:", last_known_position)
commit_position2 = client.append(
    [event], condition=condition, tracking_info=tracking_info
)
assert commit_position1 == commit_position2
print("Append returned same commit position:", commit_position2)

# Check tracking information
assert tracking_info.position == client.get_tracking_info("upstream")

# Unconditional append with conflicting tracking information — expect an error
try:
    conflicting_event = Event(
        event_type="example",
        tags=["tag1", "tag2"],
        data=b"Hello, world!",
        uuid=str(uuid.uuid4()),  # different UUID
    )
    client.append([conflicting_event], condition=None, tracking_info=tracking_info)
except IntegrityError as e:
    print("Conflicting event was rejected:", e)

Notes

• Python client is synchronous and blocking; if you need async integration, run client calls in a thread pool or use an async worker that offloads to threads.
• Event data is binary (bytes). Use a consistent serialization (e.g., JSON serialized to UTF-8 bytes, protobuf, msgpack) for your domain.
• API keys must match the server configuration.
• For TLS with self-signed certs, pass ca_path with your root/CA certificate.

Testing

The Python bindings can be tested by running a UmaDB server and executing Python code against it.

License

Licensed under either of:

• Apache License, Version 2.0 (LICENSE-APACHE)
• MIT license (LICENSE-MIT)

at your option.