lumax 0.1.1

Lumax is a lightweight Python logging library designed to bring clarity and visibility to application behavior through structured, developer-friendly logs.

lumax

A lightweight structured logging framework for modern Python.

lumax focuses on composable logging pipelines, immutable events, structured fields, and sink-based extensibility.

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Features

• Structured logging
• Immutable event model
• Composable sink pipeline
• Filtering support
• Field transformation system
• Include / exclude / redact support
• JSON serialization
• Console logging
• File logging
• HTTP logging
• Easy integration with Promtail, Loki, and other observability stacks
• Type-safe architecture
• Minimal and extensible design

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Installation

pip install lumax

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Overview

lumax is built around four core concepts:

Concept	Responsibility
Event	Immutable log payload
Identity	Metadata describing the source
Sink	Output destination
Transform	Field projection and redaction

The logging pipeline is intentionally simple:

Logger
  → FilterSink
  → TransformSink
  → Output Sink

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Quick Start

Basic Logger

from lumax.core.identity import Identity
from lumax.core.level import Level
from lumax.logger import Logger
from lumax.sinks.console import ConsoleSink

logger = Logger(
    identity=Identity(
        environment="development",
        service="api",
        type="application",
    ),
    sinks=[ConsoleSink()],
)

logger.info(
    "User authenticated",
    user_id=123,
    provider="github",
)

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Example Output

{
  "timestamp": "2026-05-22T10:00:00+00:00",
  "level": "INFO",
  "identity": {
    "environment": "development",
    "service": "api",
    "type": "application"
  },
  "message": "User authenticated",
  "fields": {
    "user_id": 123,
    "provider": "github"
  }
}

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Core Concepts

Identity

Identity describes where a log event originates from.

from lumax.core.identity import Identity

identity = Identity(
    environment="production",
    service="billing",
    type="service",
)

Fields

Field	Description
environment	Runtime environment
service	Service or application name
type	Logger category
labels	Additional structured metadata

---

Event

Every emitted log becomes an immutable Event.

from lumax.core.event import Event

An event contains:

• timestamp
• level
• identity
• message
• fields

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Levels

from lumax.core.level import Level

Available levels:

• DEBUG
• INFO
• WARNING
• ERROR
• CRITICAL

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Sinks

Sinks are responsible for outputting log events.

ConsoleSink

from lumax.sinks.console import ConsoleSink

Outputs logs to stdout.

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FileSink

from lumax.sinks.file import FileSink

Writes logs to files.

Example

from lumax.sinks.file import FileSink

sink = FileSink(
    dir="./logs",
)

If no filename is provided, lumax automatically generates one using the current UTC timestamp.

Example:

2026-05-22_10-00-00.log

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HTTPSink

from lumax.sinks.http import HTTPSink

Sends logs to HTTP endpoints using httpx.

Example

import httpx

from lumax.sinks.http import HTTPSink

client = httpx.Client(
    base_url="https://example.com",
    headers={
        "Authorization": "Bearer token"
    },
)

sink = HTTPSink(
    client=client,
    url="/logs",
)

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Filtering

Filtering controls whether an event should be emitted.

from lumax.core.filter import Filter
from lumax.sinks.filtering import FilterSink
from lumax.core.level import Level

Example

sink = FilterSink(
    sink=ConsoleSink(),
    filter=Filter(
        level=Level.INFO,
        types=frozenset({"application"}),
    ),
)

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Transformations

Transformations reshape event fields before emission.

lumax supports:

• include
• exclude
• redact

The transformation system mirrors Pydantic's include/exclude behavior.

---

Include

from lumax.core.transform import Transform

transform = Transform(
    include={
        "user": {
            "id",
            "username",
        }
    }
)

---

Exclude

transform = Transform(
    exclude={
        "password": True,
        "token": True,
    }
)

---

Redact

transform = Transform(
    redact={
        "email": True,
        "credit_card": True,
    }
)

---

TransformSink

from lumax.sinks.transform import TransformSink

sink = TransformSink(
    sink=ConsoleSink(),
    transform=transform,
)

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Structured Fields

Additional fields can be attached to every log event.

logger.info(
    "Payment processed",
    payment_id="pay_123",
    amount=1000,
    currency="USD",
)

These fields remain structured and serializable.

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JSON Serialization

Events are serializable via:

event.to_json()

lumax includes a robust serializer capable of handling:

• dataclasses
• datetime
• UUID
• enums
• mappings
• sequences
• Pydantic models

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Integration with Observability Stacks

lumax is designed to integrate cleanly with:

• Grafana Loki
• Promtail
• ELK Stack
• OpenTelemetry pipelines
• Cloud logging systems

Because events are structured JSON objects, lumax works naturally with log aggregation systems.

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Design Philosophy

lumax follows several core principles:

Immutable Events

Events are never mutated after creation.

Structured First

Logs should be machine-readable by default.

Composable Pipelines

Behavior is composed through sinks.

Minimal Core

The framework stays lightweight while remaining extensible.

Explicit Transformations

Filtering and field shaping are separate concerns.

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Example Pipeline

from lumax.core.filter import Filter
from lumax.core.identity import Identity
from lumax.core.level import Level
from lumax.core.transform import Transform
from lumax.logger import Logger
from lumax.sinks.console import ConsoleSink
from lumax.sinks.filtering import FilterSink
from lumax.sinks.transform import TransformSink

sink = TransformSink(
    sink=FilterSink(
        sink=ConsoleSink(),
        filter=Filter(
            level=Level.INFO,
        ),
    ),
    transform=Transform(
        redact={
            "password": True,
            "token": True,
        },
    ),
)

logger = Logger(
    identity=Identity(
        environment="development",
        service="api",
        type="application",
    ),
    sinks=[sink],
)

logger.info(
    "User login",
    username="agra",
    password="secret",
    token="jwt-token",
)

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License

MIT