prefect | easiest way to orchestrate and observe your data pipelines | BPM library
kandi X-RAY | prefect Summary
kandi X-RAY | prefect Summary
From the Latin praefectus, meaning "one who is in charge", a prefect is an official who oversees a domain and makes sure that the rules are followed. Similarly, Prefect is responsible for making sure that workflows execute properly. It also happens to be the name of a roving researcher for that wholly remarkable book, The Hitchhiker's Guide to the Galaxy.
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Top functions reviewed by kandi - BETA
- Upgrade flow table
- Replace block_type_name_name with a slug
- Print an error message
- Print a message and exit
- Build a new deployment
- Return aorion client
- Create a new Flask application
- Create a work queue with the given name
- Returns a dict of cmdclass based on cmdclass
- Extract the version information
- Create a deployment from a flow
- Drop all indexes
- Set the state of a flow run
- Update the block document
- Creates aorption client
- Set the deployment schedule
- Create a flow run in the database
- Set the state of a task run
- Load a deployment
- Extract version information from VCS
- Create a container
- Read block schemas
- Login to Google
- Start a work queue
- Run a deployed flow
- Start a task run
- Adds a type field to the model
- Create the versioneer config file
prefect Key Features
prefect Examples and Code Snippets
Lines of Code : 43License : Permissive (Apache-2.0)
Copyimport dask
from prefect import flow, task
from prefect_dask.task_runners import DaskTaskRunner
@task
def show(x):
print(x)
@flow(task_runner=DaskTaskRunner())
def my_flow():
with dask.annotate(priority=-10):
future = show(1) # lo import time
from prefect import flow, task
from prefect_dask import DaskTaskRunner
@task
def shout(number):
time.sleep(0.5)
print(f"#{number}")
@flow(task_runner=DaskTaskRunner)
def count_to(highest_number):
for number in range(highest import prefect
from prefect import Flow, task
from prefect_saturn import PrefectCloudIntegration
@task
def hello_task():
logger = prefect.context.get("logger")
logger.info("hello prefect-saturn")
flow = Flow("sample-flow", tasks=[hello_ta ├── code_file.py
├── code_test.py
└── prefect.py
# prefect.py
class Client:
def __init__(self, *arg, **kwargs):
...
def graphql(self, *args, **kwargs):
print(f"graphql got called with args:prefect agent kubernetes install --rbac --key YOUR_API_KEY --label YOUR_LABEL > agent.yaml
kubectl apply -f agent.yaml # optionally set: -n yournamespace
import prefect
from prefect impfrom prefect import task, Flow, Parameter
@task
def get_data(board):
pass
@task
def check_db(url):
pass
@task
def upload_raw(url, board):
pass
@task
def remove_duplicates(board):
pass
with Flow(name="4chan_extractprefect run -p /path/to/your/flow_file.py
from prefect import task, Flow, Parameter
@task(log_stdout=True)
def hello_world(name):
print(f"Hello {name}!")
with Flow("mini-example") as flow:
name = Parameteprefect server start --server-port=5003 --no-postgres-port --use-volume --expose
[server]
endpoint = "http://YOUR_MACHINES_PUBLIC_IP:5003/graphql"
[server.ui]
apollo_url = "http://YOUR_MACHINES_PUBLIC_IP:500columns = ['DATE', 'TIME', 'ENERGY_OUT', 'AAA', 'POWER_OUT', 'BBB', 'CCC', 'ENERGY_IN',
'POWER_IN', 'TEMPERATURE', 'VOLTAGE', 'v7', 'v8', 'v9', 'v10', 'v11', 'v12']
array = [
['20211002', '15:40', '27294', '3.446', '1080', class Base:
@task
def test1(self):
return self.test1_impl()
def test1_impl(self):
...
class Child:
def test1_impl(self):
...
Community Discussions
Trending Discussions on prefect
QUESTION
How do I mock a function which has been called twice in the same file, with different parameters? Here is my code snippet:
code_file.py
...ANSWER
Answered 2022-Mar-26 at 07:48I tried to reproduce your codes, but for me client.graphql got mocked perfectly.
Here are my codes.
Folder structure
QUESTION
I have a django view that generates a form depending on POST or GET. It works well with little data on the Student model but stagnates when the data gets big. Is there a remedy I can apply??
Here's the view
ANSWER
Answered 2022-Mar-22 at 19:27Can't guess your model but it seems like select_related may play a trick.
QUESTION
I have this little exploitable file:
...ANSWER
Answered 2022-Mar-13 at 21:20I think you meant:
QUESTION
currently I was trying to add a dropdown filter button on my chart to let users select a specific values from a data attribute and filter the related data shown on the chart.
I populated my data's attribute to the select unit, and I was trying to update the chart with parse the data from the selective value, but seems the data didn't update on the HighChart.
Here is my code: jsfiddle
...ANSWER
Answered 2022-Feb-23 at 06:42You never subscribed to changes of the dropdown, so the data will not change.
Add an onchange listener on the dropdown
QUESTION
I'm new to Prefect and would like to deploy a Kubernetes Job at an Azure Kubernetes Service using Prefect. I've set up a Linux Container including Prefect, kubectl. I could establish a connection to the AKS cluster and by using kubectl, I could deploy a Kubernetes Job at the AKS. But how does it work with Prefect? At the Container, I've stored the .py file and a YAML file, which defines the Kubernetes Job.
--> kubectl apply -f deploytestcontainer.yaml --> works
Running attached example Prefect code also works (but the Job is not getting deployed at the AKS)
That's the content of "firstk8sjob.py"
...ANSWER
Answered 2022-Feb-21 at 10:51There are two steps to deploy your flow to Azure AKS:
- Deploy your Kubernetes agent to this cluster
- Register your flow
First, you need to deploy a Kubernetes agent. You can generate a manifest file using:
QUESTION
How do I delete a flow defined in prefect orion? For example, I have multiple flows visible in the Orion's dashboard, some of which are no longer useful for me. How do I delete some (but not all) flows?
ANSWER
Answered 2022-Feb-14 at 16:11The only way to do this at the moment is through the REST API: https://orion-docs.prefect.io/api-ref/orion/api/flows/#prefect.orion.api.flows.delete_flow
It has yet to be hooked up to the UI.
QUESTION
While reading kubernetes agent documentation, I am getting confused with below line
"Configure a flow-run to run as a Kubernetes Job."
Does it mean that the process which is incharge of submitting flow and communication with api server will run as kubernetes job?
On the other side, the use case which I am trying to solve is
- Setup backend server
- Execute a flow composed of 2 tasks
- if k8s infra available the tasks should be executed as kubernetes jobs
- if docker only infra available, the tasks should be executed as docker containers.
Can somebody suggest me, how to solve above scenario in prefect.io?
...ANSWER
Answered 2022-Feb-03 at 16:12That's exactly right. When you use KubernetesAgent, Prefect deploys your flow runs as Kubernetes jobs.
For #1 - you can do that in your agent YAML file as follows:
QUESTION
I am running a flow on a local agent in docker on EC2 (not ECS). Prefect Cloud is configured to provide a UI for monitoring. The flow executes every 5mins, and for about an hour or so, it does just fine. However, the flows eventually fall behind, before failing to executer entirely and I get the 'cannot find a heartbeat' error.
Is there a way to run the local agent continuously? Why does it suddenly stop?
I apologise for the simplicity of the question, but I am new to Prefect.
Cheers
...ANSWER
Answered 2022-Jan-31 at 10:29When the local or docker agent is running within a container itself (rather than a local process), your flow runs end up deployed as containers, but not as individual containers, but rather within the agent container. You effectively have a single agent container spinning up new containers within itself (docker in docker), which may have many unintended consequences such as issues with scale and resource utilization.
To solve this, I would recommend running the local agent as a local process monitored by a supervisord. This documentation page provides more information.
If you want more environment isolation for this agent process, you can run it within a virtual environment.
To learn more about flow's heartbeat, check out this page and this one for running local or docker agent in a container.
QUESTION
I'm using a rapsberry pi 4, v10(buster).
I installed supervisor per the instructions here: http://supervisord.org/installing.html
Except I changed "pip" to "pip3" because I want to monitor running things that use the python3 kernel.
I'm using Prefect, and the supervisord.conf is running the program with command=/home/pi/.local/bin/prefect "agent local start" (I tried this with and without double quotes)
Looking at the supervisord.log file it seems like the Prefect Agent does start, I see the ASCII art that normally shows up when I start it from the command line. But then it shows it was terminated by SIGTERM;not expected, WARN recieved SIGTERM inidicating exit request.
I saw this post: Supervisor gets a SIGTERM for some reason, quits and stops all its processes but I don't even have that 10Periodic file it references.
Anyone know why/how Supervisor processes are getting killed by sigterm?
...ANSWER
Answered 2022-Jan-24 at 12:20It could be that your process exits immediately because you don’t have an API key in your command and this is required to connect your agent to the Prefect Cloud API. Additionally, it’s a best practice to always assign a unique label to your agents, below is an example with “raspberry” as a label.
You can also check the logs/status:
QUESTION
I have a already try multiple methods but failed,
FAILURE: Build failed with an exception.
Where: Script 'C:\Users\IMBA\flutter\packages\flutter_tools\gradle\flutter.gradle' line: 1070
What went wrong: Execution failed for task ':app:compileFlutterBuildDebug'.
Process 'command 'C:\Users\IMBA\flutter\bin\flutter.bat'' finished with non-zero exit value 1
Try: Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
Get more help at https://help.gradle.org
BUILD FAILED in 16s Exception: Gradle task assembleDebug failed with exit code 1
give me a prefect suggestion
...ANSWER
Answered 2022-Jan-19 at 16:26- Delete your pubspec.lock file
- go to your pubspec.yaml file and click on pub get now automatically generate file and fix your your.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install prefect
You can use prefect like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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