Merge pull request #1 from lolamarket/feature/lolaconfig
Feature/lolaconfig
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commit
dada856862
7 changed files with 188 additions and 3 deletions
12
README.md
12
README.md
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# Lolafect
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Lolafect is a collection of Python bits that help us build our Prefect flows.
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Lolafect is a collection of Python bits that help us build our Prefect flows.
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## How to test
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IDE-agnostic:
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1. Set up a virtual environment which contains both `lolafect` and the dependencies listed in `requirements-dev.txt`.
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2. Run: `pytests tests`
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In Pycharm: if you configure `pytest` as the project test runner, Pycharm will most probably autodetect the test
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folder and allow you to run the test suite within the IDE.
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5
lolafect/defaults.py
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5
lolafect/defaults.py
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DEFAULT_ENV_S3_BUCKET="pdo-prefect-flows"
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DEFAULT_PATH_TO_SLACK_WEBHOOKS_FILE = "env/slack_webhooks.json"
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DEFAULT_KUBERNETES_IMAGE = "373245262072.dkr.ecr.eu-central-1.amazonaws.com/pdo-data-prefect:production"
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DEFAULT_KUBERNETES_LABELS = ["k8s"]
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DEFAULT_FLOWS_PATH_IN_BUCKET = "flows/"
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109
lolafect/lolaconfig.py
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109
lolafect/lolaconfig.py
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from typing import List
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from prefect.storage import S3
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import boto3
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from lolafect.defaults import (
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DEFAULT_ENV_S3_BUCKET,
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DEFAULT_PATH_TO_SLACK_WEBHOOKS_FILE,
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DEFAULT_KUBERNETES_IMAGE,
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DEFAULT_KUBERNETES_LABELS,
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DEFAULT_FLOWS_PATH_IN_BUCKET,
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)
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from lolafect.utils import S3FileReader
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class LolaConfig:
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"""
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A global-ish container for configurations required in pretty much all flows.
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"""
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def __init__(
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self,
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flow_name: str,
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env_s3_bucket: str = None,
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kubernetes_labels: List = None,
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kubernetes_image: str = None,
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slack_webhooks_file: str = None,
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):
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"""
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Init and set defaults where no value was passed.
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:param flow_name: the name of the flow.
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:param env_s3_bucket: the name of the S3 bucket where env vars should be
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searched.
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:param kubernetes_labels: labels to be passed to the kubernetes agent.
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:param kubernetes_image: image to use when running through the kubernetes agent.
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:param slack_webhooks_file: path to the slack webhooks file within the env
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bucket.
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"""
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self.FLOW_NAME = flow_name
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self.FLOW_NAME_UDCS = flow_name.replace("-", "_ ")
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self.S3_BUCKET_NAME = (
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DEFAULT_ENV_S3_BUCKET if env_s3_bucket is None else env_s3_bucket
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)
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self.SLACK_WEBHOOKS_FILE = (
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DEFAULT_PATH_TO_SLACK_WEBHOOKS_FILE
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if slack_webhooks_file is None
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else slack_webhooks_file
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)
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self.SLACK_WEBHOOKS = None
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self.STORAGE = S3(
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bucket=self.S3_BUCKET_NAME,
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key=DEFAULT_FLOWS_PATH_IN_BUCKET + self.FLOW_NAME + ".py",
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stored_as_script=True,
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)
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self.KUBERNETES_LABELS = (
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DEFAULT_KUBERNETES_LABELS
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if kubernetes_labels is None
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else kubernetes_labels
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)
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self.KUBERNETES_IMAGE = (
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DEFAULT_KUBERNETES_IMAGE if kubernetes_image is None else kubernetes_image
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)
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self._s3_reader = S3FileReader(s3_client=boto3.client("s3"))
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def fetch_slack_webhooks(self, s3_reader=None) -> None:
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"""
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Read the slack webhooks file from S3 and store the webhooks in memory.
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:param s3_reader: a client to fetch files from S3.
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:return: None
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"""
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if s3_reader is None:
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s3_reader = self._s3_reader
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self.SLACK_WEBHOOKS = s3_reader.read_json_from_s3_file(
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bucket=self.S3_BUCKET_NAME, key=self.SLACK_WEBHOOKS_FILE
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)
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def build_lolaconfig(
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flow_name: str,
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env_s3_bucket: str = None,
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kubernetes_labels: List = None,
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kubernetes_image: str = None,
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) -> LolaConfig:
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"""
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Build a LolaConfig instance from the passed params.
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:param flow_name: the name of the flow.
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:param env_s3_bucket: the name of the S3 bucket where env vars should be
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searched.
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:param kubernetes_labels: labels to be passed to the kubernetes agent.
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:param kubernetes_image: image to use when running through the kubernetes agent.
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:return: a ready to use LolaConfig instance.
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"""
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lolaconfig = LolaConfig(
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flow_name=flow_name,
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env_s3_bucket=env_s3_bucket,
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kubernetes_labels=kubernetes_labels,
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kubernetes_image=kubernetes_image,
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)
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lolaconfig.fetch_slack_webhooks()
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return lolaconfig
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24
lolafect/utils.py
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24
lolafect/utils.py
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import json
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class S3FileReader:
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"""
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An S3 client along with a few reading utils.
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"""
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def __init__(self, s3_client):
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self.s3_client = s3_client
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def read_json_from_s3_file(self, bucket: str, key: str) -> dict:
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"""
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Read a JSON file from an S3 location and return contents as a dict.
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:param bucket: the name of the bucket where the file is stored.
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:param key: the path to the file within the bucket.
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:return: the file contents.
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"""
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return json.loads(
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self.s3_client.get_object(Bucket=bucket, Key=key)["Body"]
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.read()
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.decode("utf-8")
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)
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@ -1,2 +1,4 @@
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prefect==1.2.2
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requests==2.28.1
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requests==2.28.1
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boto3==1.26.40
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pytest==7.2.0
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2
setup.py
2
setup.py
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@ -23,5 +23,5 @@ setup(
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package_dir={"lolafect": "lolafect"},
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include_package_data=True,
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python_requires=">=3.7",
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install_requires=["prefect==1.2.2", "requests==2.28.1"],
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install_requires=["prefect==1.2.2", "requests==2.28.1", "boto3==1.26.40"],
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)
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35
tests/test_lolaconfig.py
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35
tests/test_lolaconfig.py
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from types import SimpleNamespace
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from lolafect.lolaconfig import LolaConfig
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def test_lolaconfig_instantiates_with_defaults_properly():
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lolaconfig = LolaConfig(flow_name="some-flow")
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def test_lolaconfig_instantiates_without_defaults_proplery():
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lolaconfig = LolaConfig(
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flow_name="some-flow",
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env_s3_bucket="bucket",
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kubernetes_labels=["some_label"],
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kubernetes_image="loliloli:latest",
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slack_webhooks_file="the_file/is/here.json",
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)
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def test_lolaconfig_fetches_webhooks_properly():
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lolaconfig = LolaConfig(flow_name="some-flow")
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fake_s3_reader = SimpleNamespace()
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def mock_read_json_from_s3_file(bucket, key):
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return {"a-channel-name": "a-channel-url.com"}
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fake_s3_reader.read_json_from_s3_file = mock_read_json_from_s3_file
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lolaconfig.fetch_slack_webhooks(s3_reader=fake_s3_reader)
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assert type(lolaconfig.SLACK_WEBHOOKS) is dict
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