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Component definitions for Pip.Services in Python

Project description

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Portable Component Model for Python

This module is a part of the Pip.Services polyglot microservices toolkit.

It defines a portable component model interfaces and provides utility classes to handle component lifecycle.

The module contains the following packages:

  • Build - basic factories for constructing objects
  • Config - configuration pattern
  • Refer - locator inversion of control (IoC) pattern
  • Run - component life-cycle management patterns

Quick links:

Use

Install the Python package as

pip install pip_services4_components

Then you are ready to start using the Pip.Services patterns to augment your backend code.

For instance, here is how you can implement a component, that receives configuration, get assigned references, can be opened and closed using the patterns from this module.

from pip_services4_commons.config import IConfigurable, ConfigParams
from pip_services4_commons.refer import IReferenceable, IReferences, Descriptor
from pip_services4_commons.run import IOpenable


class MyComponentA(IConfigurable, IReferenceable, IOpenable):
    _param1 = 'ABC'
    _param2 = 123
    _another_component: MyComponentB
    _opened = True

    def configure(self, config):
        self._param1 = ConfigParams.get_as_string_with_default("param1", self._param1)
        self._param2 = config.get_as_integer_with_default("param2", self._param2)

    def set_references(self, references):
        self._another_component = references.get_one_required(
            Descriptor("myservice", "mycomponent-b", "*", "*", "1.0")
        )

    def is_opened(self):
        return self._opened

    def open(self, context):
        self._opened = True
        print("MyComponentA has been opened.")

    def close(self, context):
        self._opened = True
        print("MyComponentA has been closed.")

Then here is how the component can be used in the code

from pip_services4_commons.config import IConfigurable, ConfigParams
from pip_services4_commons.refer import References, Descriptor

my_component_A = MyComponentA()

# Configure the component
my_component_A.configure(ConfigParams.from_tuples(
    'param1', 'XYZ',
    'param2', 987
))

# Set references to the component
my_component_A.set_references(References.from_tuples(
    Descriptor("myservice", "mycomponent-b", "default", "default", "1.0"), my_component_B
))

# Open the component
my_component_A.open(Context.from_trace_id("123"))
print("MyComponentA has been opened.")

If you need to create components using their locators (descriptors) implement component factories similar to the example below.

from pip_services4_commons.refer import Descriptor
from pip_services4_components.build import Factory


class MyFactory(Factory):
    my_component_descriptor = Descriptor("myservice", "mycomponent", "default", "*", "1.0")

    def __init__(self):
        super(MyFactory, self).__init__()

        self.register_as_type(MyFactory.my_component_descriptor, MyFactory)


# Using the factory
my_factory = MyFactory()
my_component1 = my_factory.create(Descriptor("myservice", "mycomponent", "default", "myComponent1", "1.0"))
my_component2 = my_factory.create(Descriptor("myservice", "mycomponent", "default", "myComponent2", "1.0"))

...

Develop

For development you shall install the following prerequisites:

  • Python 3.7+
  • Visual Studio Code or another IDE of your choice
  • Docker

Install dependencies:

pip install -r requirements.txt

Run automated tests:

python test.py

Generate API documentation:

./docgen.ps1

Before committing changes run dockerized build and test as:

./build.ps1
./test.ps1
./clear.ps1

Contacts

The initial implementation is done by Sergey Seroukhov. Pip.Services team is looking for volunteers to take ownership over Python implementation in the project.

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