The elegance of Airflow + the power of AWS
Orkestra
The elegance of Airflow + the power of AWS.
examples/hello_orkestra.py
import random
from typing import *
from uuid import uuid4
from aws_lambda_powertools import Logger, Tracer
from pydantic import BaseModel
from orkestra import compose
from orkestra.interfaces import Duration
def dag():
(
generate_item
>> add_price
>> copy_item
>> double_price
>> (do_nothing, assert_false)
>> say_hello
>> [random_int, random_float]
>> say_goodbye
)
class Item(BaseModel):
id: str
name: str
price: Optional[float] = None
@classmethod
def random(cls):
return cls(
id=str(uuid4()),
name=random.choice(
[
"potato",
"moon rock",
"hat",
]
),
)
logger = Logger()
tracer = Tracer()
default_args = dict(
enable_powertools=True,
timeout=Duration.seconds(6),
)
@compose(**default_args)
def generate_item(event, context):
logger.info("generating random item")
item = Item.random().dict()
logger.info(item)
tracer.put_metadata("GenerateItem", "SUCCESS")
return item
@compose(model=Item, **default_args)
def add_price(item: Item, context):
price = 3.14
logger.info(
"adding price to item",
extra={
"item": item.dict(),