In my last blog post, I described a practical way of integrating Sentry with Prefect 1 flows. Since then, Prefect 2 was released, and with it, many interesting capabilities were introduced. I won’t spend time explaining why you should migrate to Prefect 2, but I suggest you have a look at the new features presented here. If you’re interested, I also created a step by step GitHub repository showcasing some of the new features available so that you can try it yourself.
One of the interesting new concepts being offered is Blocks. Blocks allow users to interface with external systems and configurations across flows. Prefect Cloud comes built-in with a collection of existing block types, but it also offers the possibility to define new ones. With that, it’s possible to create reusable utilities that can be shared among flows and teams. This blog post will provide a step by step plan as to how to create a custom Sentry block type that will automatically send notifications to Slack in case of a flow failure.
What Is Sentry?
Sentry is an error monitoring tool that enables developer teams to be notified rapidly when an issue happens in their applications. It provides the engineering teams with an interface to identify and debug errors in their applications. It is especially useful for detecting and fixing issues in production environments, where it can be difficult to reproduce errors and collect information about what went wrong. At Coveo, the usage of Sentry is already widespread and most R&D teams are using it in their services.
Even though Prefect comes built-in with automation that allows notifications in Slack in the event of the failure of a flow, we felt this was not providing us with enough insights regarding what went wrong without having to go through our internal logs to investigate. Once our Prefect 2 migration was started, one the first things we did was create this custom Sentry block type to offer an easy way for engineering teams to be notified in the case of a failure in one of their flow.
Creating a custom block type
The first step for creating a custom block type is to create a class that inherits the Block class from Prefect. After that, it’s as simple as defining the logic that you want implemented in different functions that you’ll be able to call through your flow. Here’s an example for that.
"""Block that initializes Sentry."""
import os
import git
from textwrap import dedent
from prefect import get_run_logger
from prefect.context import get_run_context
from prefect.blocks.core import Block
from sentry_sdk import init, set_context, set_tag
from dotenv import load_dotenv
SENTRY_BLOCK_NAME = "sentry-block"
def _get_git_changeset():
repo = git.Repo(search_parent_directories=True)
return repo.head.object.hexsha
class SentryBlock(Block):
"""Block that bootstraps Sentry with metadata related to Prefect flow runs."""
_code_example = dedent(
"""\
```python
from src.blocks.sentry_block import SentryBlock, SENTRY_BLOCK_NAME
sentry_block: SentryBlock = SentryBlock.load(SENTRY_BLOCK_NAME)
sentry_block.initialize_sentry_block()
```"""
)
def initialize_sentry_block(self):
"""Initialize the sentry block."""
logger = get_run_logger()
load_dotenv()
try:
logger.info(f"Initializing Sentry...")
sentry_dsn = os.getenv("SENTRY_DSN")
environment = os.getenv("ENVIRONMENT")
region = os.getenv("REGION")
init(
sentry_dsn, environment=environment, release=_get_git_changeset()
)
set_tag("region", region)
run_context = get_run_context()
set_tag("flow_name", run_context.flow.name)
set_tag("flow_run_name", run_context.flow_run.name)
set_tag("flow_run_version", run_context.flow_run.flow_version)
set_context("flow_parameters", run_context.flow_run.parameters)
logger.info("Sentry was successfully initialized.")
except Exception as exception:
logger.error("Failed to initialized Sentry. Inner exception: %s", exception)
Let’s go through the different things happening in that class. First, we override a member of the class called _code_example
and provide an example on how to load that block in a Prefect flow. This can be really useful for any developer that might want to use that block in the future, and the code example will be reflected in the Prefect Cloud UI.
Then, we define a method called initialize_sentry_block
that will take care of the logic required to make Sentry available in your flow. Please note that this could also have been done in the constructor. This method will retrieve a few different environment variables, initialize Sentry with a designated DSN, and set pertinent tags based on the run_context
of Prefect. This will make debugging easier by having all of this information available in Sentry.
Now that the custom Sentry block is defined, it’s required to create it in Prefect Cloud so that it can be reused in flows. To do that, we can use Prefect Python API.
"""Deployments for Custom Prefect Blocks"""
import logging
from src.blocks.sentry_block import SentryBlock, SENTRY_BLOCK_NAME
logging.getLogger().setLevel(logging.INFO)
base_flow_block = SentryBlock()
base_block_document_id = base_flow_block.save(SENTRY_BLOCK_NAME, overwrite=True)
logging.info(f"Successfully deployed sentry block with document id '{base_block_document_id}'.")
Running this script will result in the block creation in Prefect (assuming you are authenticated!).
As you can see, the code example previously defined in the SentryBlock
class is available in the UI! How neat is that!
With the Sentry block now created in Prefect, we can reuse it in any flow to automatically report on unexpected failures.
"""Sample Prefect2 showcasing Sentry Block capabilities"""
from prefect import flow, task, get_run_logger
from src.blocks.sentry_block import SentryBlock, SENTRY_BLOCK_NAME
@task(name="Failure")
def task_always_failing():
logger = get_run_logger()
logger.info("The task will fail soon! 🙈")
raise Exception("Oh no!")
@flow(timeout_seconds=60)
def sample_flow():
base_block: SentryBlock = SentryBlock.load(SENTRY_BLOCK_NAME)
base_block.initialize_sentry_block()
task_always_failing()
if __name__ == "__main__":
sample_flow()
As we can observe in the code above, any developer can now use these two simples lines and have Sentry initialized its flow.
base_block: SentryBlock = SentryBlock.load(SENTRY_BLOCK_NAME)
base_block.initialize_sentry_block()
If we execute that flow that is designed to always fail, we’ll receive a notification in Slack as soon as it fails.
If we click on the link to go investigate the culprit in Sentry, it’s possible to observe all the different tags and metadata that were added by the run context to make debugging easier.
As you can imagine, the possibilities are infinite in terms of what you can accomplish with custom block types.
All of the code samples provided in that blog post are available here.
If you’re passionate about software engineering and you would like to work with other developers who are passionate about their work, make sure to check out our careers page and apply to join the team!