This release is a pre-release and may not be stable for production use.
NLDCSC package
This package contains generic re-usable code.
Install the full package:
pip install nldcsc[all]
Package has several modules which can be installed separately by specifying them as an extra requirement. To install the loggers module only, specify:
pip install nldcsc[loggers]
Or for multiple modules:
pip install nldcsc[loggers, flask_managers]
Modules
The following modules are available in the nldcsc package:
- auth
- datatables
- flask_managers
- flask_middleware
- flask_plugins
- http_apis
- http_apis_cached
- httpx_apis
- loggers
- sql_migrations
- sso
- plugins
- plugin_doh
- plugin_geo_ip
- plugin_sql_migrate
- plugin_redis
- plugin_mailgun
- plugin_nexpose
- plugin_viper
- custom_types
- custom_type_sqlalchemy
Loggers
There are two loggers provided:
- AppLogger (nldcsc.loggers.app_logger.AppLogger)
- GunicornLogger (nldcsc.loggers.app_logger.GunicornLogger)
The AppLogger is intended to be used as a loggerClass to be used for the standard python logging module.
import logging
from nldcsc.loggers.app_logger import AppLogger
logging.setLoggerClass(AppLogger)
mylogger = logging.getLogger(__name__)
The 'mylogger' instance has all the proper formatting and handlers (according to the desired config) to log messages.
The Gunicorn logger is intended to be used for as a loggerClass for the gunicorn webserver; it enables the FlaskAppManager to set the necessary formatting and handles according to the AppLogger specs and a custom format for the gunicorn access logging.
Flask app manager
The FlaskAppManager is intended to be used to 'run' flask applications in both test, development as in production environments.
from YADA import app
from nldcsc.flask_managers.flask_app_manager import FlaskAppManager
fam = FlaskAppManager(version="1.0", app=app)
fam.run()
Depending on the configuration the FlaskAppManager uses a werkzeug (DEBUG == True) or a gunicorn webserver. TLS could be set for both webservers iaw the module specific README.md.
HTTP apis cached
Baseclass for http api communication is present under nldcsc.http_apis.base_class.cached_base_class.CachedApi
This baseclass utilizes requests_cache to cache requests automagically.
HTTP apis
Baseclass for http api communication is present under nldcsc.http_apis.base_class.api_base_class.ApiBaseClass
HTTPX apis
Baseclass for httpx api communication is present under nldcsc.httpx_apis.base_class.httpx_base_class.HTTPXBaseClass
SQL Migrations
The sql migrations can be used to facilitate migration between different versions of sql models / versions. It relies on flask migrate to perform the different migrations. It has a CLI as well as an python class based API.
Check the command line help
python3 -m nldcsc.sql_migrations.flask_sql_migrate -a /path/to/script_with_flask_app.py -i
python3 -m nldcsc.sql_migrations.flask_sql_migrate -a /path/to/script_with_flask_app.py -m
python3 -m nldcsc.sql_migrations.flask_sql_migrate -a /path/to/script_with_flask_app.py -u
Or initiate the FlaskSqlMigrate as a class and initiate the migration process from there:
from nldcsc.sql_migrations.flask_sql_migrate import FlaskSqlMigrate
fsm = FlaskSqlMigrate(app_ref="/path/to/script_with_flask_app.py")
fsm.db_init()
fsm.db_migrate()
fsm.db_update()
Plugins
There are several off the shelf plugins that can be used in other projects. Every plugin can be installed with:
pip install nldcsc[plugin-<plugin-name>]
or if you rather install all the plugins:
pip install nldcsc[plugins]
plugin-sql-migrate
The sql_migrate plugin serves as a wrapper around alembic but replaces the naming convention of migration files to support multiple branches of development. To make use of this plugin the CLI can be used.
Check the command line help
python3 -m nldcsc db --help
OR
nldcsc db --help
The plugin expects to be pointed towards a python configuration file that looks something like this:
from my_awesome_project.db import get_engine
from my_awesome_project.models.base import ModelBase
#This should be a SQLAlchemy engine object.
db = get_engine()
#This should be the modelbase class metadata
metadata = ModelBase.metadata
Custom types
Custom types is a collection of custom types or objects that can be used with other libraries
custom_type_sqlalchemy
This is a collection of types to be used together with sqlalchemy. If these types are to be used make sure to inherit from the ModelBase within the NLDCSC package. As the types get mapped to their SQL equivalents there.
Adding modules and/or groups
Everything for this package is defined in the pyproject.toml file. Dependencies are managed by poetry and grouped in, you guessed it, groups. Every poetry group can be installed as an extra using pip.
Extra extras or group on group/extra dependencies can also be defined in the [tool.nldcsc.group.dependencies] section. Everything defined here will also become an extra if no group already exists. You can use everything defined here as dependency for another group, order does not matter.
example:
[tool.nldcsc.group.dependencies]
my_awesome_extra = ["my_awesome_group", "my_other_group"]
my_awesome_group = ["my_logging_group"]
[tool.poetry.group.my_awesome_group.dependencies]
<dependency here>
[tool.poetry.group.my_other_group.dependencies]
<dependency here>
[tool.poetry.group.my_logging_group.dependencies]
<dependency here>
Using this example the following extras exist with the correct dependencies:
pip install nldcsc[all]
pip install nldcsc[my-awesome-extra]
pip install nldcsc[my-awesome-group]
pip install nldcsc[my-other-group]
pip install nldcsc[my-logging-group]
4 maintainers
Release files for nldcsc 0.4.0rc108.dev2
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