thelab-instrumentation 0.6.3

Shared instrumentation and monitoring code for Django projects

thelab-instrumentation

A fully type-safe instrumentation and monitoring library for Django projects. This package provides:

• Metrics collection and reporting to various backends (CloudWatch, Logging)
• RQ queue monitoring
• Structured logging helpers for django-structlog
• Task lifecycle logging for django-tasks and Django 6 native tasks
• Clean, type-safe API with comprehensive mypy typing

Installation

Install the package using your package manager of choice:

# Using uv (recommended)
uv pip install thelab-instrumentation

# Using pip
pip install thelab-instrumentation

Add the package to your Django INSTALLED_APPS:

INSTALLED_APPS = [
    # ...
    'thelabinstrumentation',
    'thelabinstrumentation.rq',        # Include if using RQ monitoring
    'thelabinstrumentation.structlog',  # Include if using django-structlog
    # ...
]

Optional Dependencies

Install extras for the integrations you need:

# For RQ monitoring
uv pip install 'thelab-instrumentation[rq]'

# For structured logging
uv pip install 'thelab-instrumentation[structlog]'

# For django-tasks lifecycle logging
uv pip install 'thelab-instrumentation[tasks]'

Configuration

Configure the library in your Django settings:

THELAB_INSTRUMENTATION = {
    # Metrics backend (default: logging backend)
    'BACKEND': 'thelabinstrumentation.backends.cloudwatch.CloudWatchBackend',

    # Backend-specific options
    'OPTIONS': {
        # Cloudwatch Backend
        "namespace": 'MyApplication',
    },

    # Update interval in seconds (default: 60)
    'UPDATE_INTERVAL': 60,

    # Global dimensions added to all metrics
    'DIMENSIONS': {
        'Environment': 'production',
        'Application': 'my-app',
    },

    # Request headers to bind to structlog context (header name -> context var name)
    'STRUCTLOG_REQUEST_HEADERS': {
        'x-amz-cf-id': 'cf_id',
        'x-amzn-trace-id': 'x_amzn_trace_id',
    },
}

Structlog Integration

The thelabinstrumentation.structlog app provides:

HeaderBindingMiddleware — Reads configured request headers and binds them to structlog contextvars. Must be placed before django_structlog.middlewares.RequestMiddleware so that bound headers are included in the request_started log event.

QueryStatsMiddleware — Tracks per-request database query count and total query duration, binding them as db_query_count and db_query_duration_ms to structlog contextvars. Must be placed after django_structlog.middlewares.RequestMiddleware so that the stats are bound before request_finished is logged. Uses Django's connection.execute_wrapper() API internally, so it works with any database backend without configuration changes.

MIDDLEWARE = [
    # ...
    'thelabinstrumentation.structlog.middleware.HeaderBindingMiddleware',
    'django_structlog.middlewares.RequestMiddleware',
    'thelabinstrumentation.structlog.db.QueryStatsMiddleware',
    # ...
]

The headers to bind are configured via STRUCTLOG_REQUEST_HEADERS in THELAB_INSTRUMENTATION (see above). Each key is an HTTP header name and each value is the structlog context variable name it maps to.

bind_username — A signal receiver that automatically binds the authenticated user's username to structlog context. It connects to django_structlog.signals.bind_extra_request_metadata when the app is loaded — no manual wiring needed.

Task lifecycle logging — Signal receivers for task_enqueued, task_started, and task_finished that log task metadata to structlog context. Compatible with both django-tasks (backport for Django 5.x) and Django 6's native django.tasks. Connected automatically when the app is loaded and a tasks package is available.

Development

Setup Development Environment

# Clone the repository
git clone https://gitlab.com/thelabnyc/thelab-instrumentation.git
cd thelab-instrumentation

# Install dependencies
uv sync

# Install prek hooks
prek install

Run Tests

# Run all tests
uv run tox

# Run mypy type checking
uv run mypy thelabinstrumentation/

# Run linting
uv run ruff check