payla-utils 0.3.25

payla_utils python package

payla_utils python package

Features

Structlog config

Example, structlog configuration, django

in django settings.py

from payla_utils.logging import LoggingConfigurator

LoggingConfigurator(
    'testapp',
    log_level='INFO',
    own_apps=settings.OWN_APPS,
    setup_logging_dict=True,
).configure_structlog(formatter='plain_console')

Example, structlog configuration, passing extra loggers names

in django settings.py

from payla_utils.logging import LoggingConfigurator

LoggingConfigurator(
    'testapp',
    log_level='INFO',
    own_apps=settings.OWN_APPS,
    setup_logging_dict=True,
).configure_structlog(formatter='plain_console', extra_loggers_name=['mylogger1', 'mylogger2'])

If you want to use structlog in django celery

in celery.py

from django.conf import settings
from payla_utils.logging import LoggingConfigurator

@signals.setup_logging.connect
def receiver_setup_logging(
    loglevel, logfile, format, colorize, **kwargs
):  # pragma: no cover

    LoggingConfigurator(
        'testapp',
        log_level='INFO',
        own_apps=settings.OWN_APPS,
        setup_logging_dict=True,
    ).configure_structlog(formatter='plain_console')

If you want to use structlog with Sentry

You will have to set PaylaLoggingIntegration in sentry sdk setup

sentry_sdk.init(
    # take sentry DSN from environment or add a default value here:
    dsn=env.str('SENTRY_DSN'),
    integrations=[DjangoIntegration(), CeleryIntegration(), PaylaLoggingIntegration()],
    auto_session_tracking=False,
    traces_sample_rate=0.01,
    send_default_pii=True,
    attach_stacktrace=True,
    request_bodies='medium',
    release=PROJECT_VERSION,
    environment=ENVIRONMENT,
)

If you want to use a structlog, not Django based project

from payla_utils.logging import LoggingConfigurator

LoggingConfigurator(
    'testapp',
    log_level='INFO',
    own_apps=[],
    setup_logging_dict=True,
).configure_structlog(formatter='plain_console')

How to use generic structured logger:

logger = structlog.get_logger(__name__)
logger.warning("Here is your message", key_1="value_1", key_2="value_2", key_n="value_n")

Using request middleware to inject request_id and/or trace_id:

This middleware will inject reqest_id and/or trace_id to all logs producer during a request/response cycle.

MIDDLEWARE += ['payla_utils.logging.middlewares.RequestMiddleware']

• Pass your custom request id header via the PAYLA_UTILS settings: REQUEST_ID_HEADER, defaults to X-Request-ID
• Enable tracing (Only supports opentelemetry) via configure_structlog(tracing_enabled=True)

See configuration section

Why structured logger

• By default, the logging frameworks outputs the traces in plain text and tools like EFK stack or Grafana Loki can’t fully process these traces.

• Therefore, if we “structure” or send the traces in JSON format directly, all the tools can benefit of.

• As a developer, it would be nice to be able to filter all logs by a certain customer or transaction.

• The goal of structured logging is to solve these sorts of problems and allow additional analytics.

• When you log something, remember that the actual consumer is the machine Grafana Loki (EFK stack), not only humans.

• Our generic logger comes with some default context structure, but as you can see, you can introduce new keys.

• We use structlog as wraper on standard logging library, you can check for more details structlog.

Access decorator

To prohibit access to only internal IPs for a specific view it's possible to use the only_internal_access decorator.

SERVER_IP is required to be set on payla_utils settings.

See configuration section

Example usage

@only_internal_access
def test_view(request):
    return HttpResponse('OK')

Or inline

path('test/', only_internal_access(test_view), name="test-view"),

Management command to init environment

This management command will init environment based on the current env (local.dev, stage, playground and prod)

• load fixtures on the first run (when the DB is empty)
• setup custom theme for admin_interface
• create user when not in prod if LOCAL_DJANGO_ADMIN_PASSWORD is set

APP_NAME and ENVIRONMENT settings are required. See configuration section

Configuration and settings

Settings for Payla Utils are all namespaced in the PAYLA_UTILS setting. For example your project's settings.py file might look like this:

PAYLA_UTILS = {
    'APP_NAME': 'My App',
    # Used for json logging
    'MICROSERVICE_NAME: 'myapp',
    # stage, playground, prod
    'ENVIRONMENT': ENVIRONMENT,
    'INITIAL_FIXTURES': [
        os.path.join(BASE_DIR, 'testapp', 'fixtures', 'users.json'),
    ],
    'SERVER_IP': '192.168.1.4',
    'REQUEST_ID_HEADER': 'X-Request-ID',
    'RUN_EXTRA_COMMANDS': ['loadinitialusers', 'setup_something'],
    'LOCAL_DJANGO_ADMIN_PASSWORD': os.environ.get('LOCAL_DJANGO_ADMIN_PASSWORD', 'admin'),
    # Only in case you need to change the defaults
    'ENV_THEMES': {
        'local.dev': {
            ...
        },
        'stage': {
            ...
        },
        'playground': {
            ...
        },
        'prod': {
            ...
        },
    }
}

Payla Generic model

Usage

from payla_utils.models import PaylaModel

class MyModel(PaylaModel):
    ...

This model will add the following fields:

• created_at - datetime
• modified_at - datetime

It has also a QuerySet that will add the following methods:

• get_or_none - returns the object or None

DRF view action permission

See full documentation here