@Marvin how can I query worker or work-pool health status with an API call to the server or via the prefect-cli?

You can check the health status of workers and work-pools using both the Prefect API and the Prefect CLI. 1. Using Prefect CLI: - Work-Pool Status:

prefect work-pool inspect <work-pool-name>

- Work-Queue Status:

prefect work-queue inspect <work-queue-id>

These commands provide detailed information about the respective work-pools and work-queues, including their ID, creation and update dates, and health status. 2. Using Prefect API: - Workers send regular heartbeat messages to the Prefect API to indicate they are online. If a worker misses three heartbeats (by default within 90 seconds), it is considered offline. For more details on the status monitoring: - Workers: Worker configurations and status - Work-Pools & Queues: Work-pool and queue status For more detailed discussions and related GitHub issues, you can refer to: - GitHub Issue for Work-Pool & Work-Queue health status CLI Let me know if you need further information!

Is there a python api call I can make to get worker health status?

To check the health status of your workers using the Prefect Python API, you can query the Prefect API for worker details, which includes their heartbeat status indicating whether they are ONLINE or OFFLINE. Here’s a sample code snippet to retrieve worker status:

python
import httpx

# Define your Prefect API URL and API Key
PREFECT_API_URL = "<https://api.prefect.io>"  # Replace with your Prefect API URL if different
PREFECT_API_KEY = "YOUR_API_KEY"            # Replace with your actual API Key

# Function to get worker health status
def get_worker_status(worker_id):
    url = f"{PREFECT_API_URL}/workers/{worker_id}"
    headers = {
        "Authorization": f"Bearer {PREFECT_API_KEY}",
        "Content-Type": "application/json"
    }
    
    with httpx.Client() as client:
        response = client.get(url, headers=headers)
        response.raise_for_status()
        
    worker_details = response.json()
    return worker_details.get("status", "unknown")

# Call the function with your worker ID
worker_id = "your-worker-id"
status = get_worker_status(worker_id)
print(f"Worker {worker_id} is {status}")

Make sure you replace

PREFECT_API_URL

,

PREFECT_API_KEY

, and

worker_id

with your actual values. For more details, refer to the Worker configurations and status documentation. If you have any further questions, feel free to ask!

@Marvin How can I use the python sdk to get the work-pool health status

To check the health status of a work-pool using the Prefect Python SDK, you can use the following example code. This code uses the Prefect API to retrieve the status information.

python
from prefect.client import get_client
import asyncio

async def get_work_pool_health_status(work_pool_name):
    async with get_client() as client:
        work_pool = await client.read_work_pool_by_name(work_pool_name)
        return work_pool

# Work-pool name you want to check
work_pool_name = "your-work-pool-name"

status = asyncio.run(get_work_pool_health_status(work_pool_name))
print(f"Work-Pool {work_pool_name} status: {status}")

Replace

"your-work-pool-name"

with the actual name of the work pool you want to query. This script will query the Prefect API for the details of the specified work-pool and print the status. For more detailed information, you can refer to the Work-Pools documentation. If you have further questions, feel free to ask!

@Marvin how can I use the prefect cli to do a health check on the prefect server

To perform a health check on the Prefect server using the Prefect CLI, you can use the following command: prefect server health This command will check the health of the Prefect server and provide feedback on its status. For additional details and usage, you can refer to the Prefect CLI documentation. If you need further assistance, feel free to ask!

@Marvin it didnt work:

prefect server health
ERROR: No such command 'health'

To perform a health check on the Prefect server using the Prefect CLI, you can use the following command: prefect orion status This command will run a health check against the currently configured

PREFECT_API_URL

and return the health status of the Prefect server. If you want the command to wait until the server is healthy, you can add the

--wait

option: prefect orion status --wait You can also set a timeout for the wait using the

--timeout

option: prefect orion status --wait --timeout 5 This will wait until the server becomes healthy or until the timeout value is exceeded, in which case it will return an error. For additional details, you can refer to the related GitHub Pull Request.

ERROR: No such command 'orion'. I'm on Prefect 2.16

It seems the command

prefect orion

might be specific to later versions of Prefect (possibly after v2.16). However, for your current version (v2.16), you can still perform a basic health check using other available commands. Try using the following CLI command to check for available services:

bash
prefect server status

If you're still having issues with older versions, consider upgrading to the latest version of Prefect to take advantage of new enhancements and commands. Otherwise, you can perform a programmatic health check using the REST API. For more detailed information, you can explore the Prefect Documentation or open GitHub issues and pull requests. Let me know if you need further assistance!

@Marvin Nope. ERROR: No such command 'status'.

It looks like there isn't a specific

prefect server health

command available in Prefect 2.16. However, you can still perform health checks programmatically using the Prefect Python SDK or through API calls. To manually check the health of your Prefect server, you can use the following Python script to ping the API and get the health status:

python
import httpx

# Define your Prefect API URL
PREFECT_API_URL = "<http://127.0.0.1:4200/api>"  # Replace with your Prefect API URL if different

# Function to check server health
def check_server_health():
    url = f"{PREFECT_API_URL}/health"
    with httpx.Client() as client:
        response = client.get(url)
        response.raise_for_status()
        return response.json()

health_status = check_server_health()
print(f"Prefect Server Health: {health_status}")

Replace

<http://127.0.0.1:4200/api>

with the URL of your Prefect server. You can also set the

PREFECT_API_URL

environment variable in your terminal: export PREFECT_API_URL="http://127.0.0.1:4200/api" # Replace with your Prefect API URL This will ensure that other Prefect CLI commands use the correct server endpoint. If you need further assistance or have any other questions, feel free to ask!

@Marvin How can I query the list of running flows with the python SDK, similar to the CLI command

prefect flow-run ls --limit 40

To query the list of running flows using the Prefect Python SDK, similar to the CLI command

prefect flow-run ls --limit 40

, you can use the following sample code:

python
import asyncio
from prefect.client import get_client
from prefect.client.schemas.filters import FlowRunFilter, FlowRunFilterState

async def list_running_flows(limit=40):
    async with get_client() as client:
        # Define the filter to get running flow runs
        state_filter = FlowRunFilter(state=FlowRunFilterState(type={"RUNNING"}))
        
        # Query the flow runs
        flow_runs = await client.read_flow_runs(flow_run_filter=state_filter, limit=limit)
        return flow_runs

# Run the coroutine to get the running flows
running_flows = asyncio.run(list_running_flows())
for flow in running_flows:
    print(f"Flow Run ID: {flow.id}, Name: {flow.name}, State: {flow.state}")

This script uses

get_client

to interact with the Prefect API and queries the list of running flow runs by applying the

FlowRunFilter

with a state filter set to "RUNNING". The

limit

parameter ensures you only fetch a specific number of flow runs. Replace

limit=40

with the desired number of flow runs to fetch. For additional information, refer to the Prefect Client documentation. If you have further questions, feel free to ask!

@Marvin it gave this error:

pydantic.error_wrappers.ValidationError: 1 validation error for FlowRunFilterState
type
  value is not a valid dict (type=type_error.dict)

It looks like there might be an error in how the filter is applied. Let's correct that. The

FlowRunFilterState

expects lists of state types or names instead of dictionaries. Here is the revised code:

python
import asyncio
from prefect.client import get_client
from prefect.client.schemas.filters import FlowRunFilter, FlowRunFilterState

async def list_running_flows(limit=40):
    async with get_client() as client:
        # Define the filter to get running flow runs
        state_filter = FlowRunFilterState(type={"states": ["Running"]})
        
        # Query the flow runs
        flow_runs = await client.read_flow_runs(flow_run_filter=FlowRunFilter(state=state_filter), limit=limit)
        return flow_runs

# Run the coroutine to get the running flows
running_flows = asyncio.run(list_running_flows())
for flow in running_flows:
    print(f"Flow Run ID: {flow.id}, Name: {flow.name}, State: {flow.state.name}")

This correction ensures we're using the correct format for the

FlowRunFilterState

type. If you encounter any further issues, please let me know!

@Marvin very good now i get the list of flow runs, however they are of all states and not necessary in RUNNING state. For example:

Flow Run ID: fff0e67b-1a2f-4ec2-bf20-6597c04d32cf, Name: vegan-sidewinder, State: Completed
Flow Run ID: ffdb3256-fd55-47d7-802d-9f2bf05aef10, Name: handsome-gorilla, State: Failed
Flow Run ID: ffd9976d-f94f-4bab-ad81-4999a2293e4e, Name: tasteful-crayfish, State: Completed

It looks like the filtering needs to be strictly applied to filter out only the "RUNNING" state runs. Let's correct that further:

python
import asyncio
from prefect.client import get_client
from prefect.client.schemas.filters import FlowRunFilter, FlowRunFilterState, StateType

async def list_running_flows(limit=40):
    async with get_client() as client:
        # Define the filter to get running flow runs
        state_filter = FlowRunFilterState(type={"any_": [StateType.RUNNING]})
        
        # Query the flow runs
        flow_runs = await client.read_flow_runs(flow_run_filter=FlowRunFilter(state=state_filter), limit=limit)
        return flow_runs

# Run the coroutine to get the running flows
running_flows = asyncio.run(list_running_flows())
for flow in running_flows:
    print(f"Flow Run ID: {flow.id}, Name: {flow.name}, State: {flow.state.name}")

In this corrected code, I've used

StateType.RUNNING

for better accuracy. The

type

key within

FlowRunFilterState

is set to match any state within the provided list of state types. This should now return only the flow runs that are in the "RUNNING" state. Please let me know if you need further assistance!

@Marvin Excellent. The

StateType

object has a mappingproxy that connects names such as 'SCHEDULED' to StateType.SCHEDULED. How can I use the mapping proxy to provide the string name of the state type to the actual state type object. That way I can define a string argument to list_running_flows.

You can leverage the

state_from_name

method available in Prefect's

StateType

to convert state names to their respective

StateType

objects. Here is the modified version of your code that accepts a string argument for the state name:

python
import asyncio
from prefect.client import get_client
from prefect.client.schemas.filters import FlowRunFilter, FlowRunFilterState, StateType

async def list_flows_by_state(state_name: str, limit=40):
    async with get_client() as client:
        # Convert the string state name to StateType
        state_type = StateType.__members__.get(state_name.upper())
        if state_type is None:
            raise ValueError(f"Invalid state name: {state_name}")

        # Define the filter to get flow runs of the specified state
        state_filter = FlowRunFilterState(type={"any_": [state_type]})
        
        # Query the flow runs
        flow_runs = await client.read_flow_runs(flow_run_filter=FlowRunFilter(state=state_filter), limit=limit)
        return flow_runs

# Run the coroutine to get the specified state flows
state_name = "running"  # Example value
flows = asyncio.run(list_flows_by_state(state_name))
for flow in flows:
    print(f"Flow Run ID: {flow.id}, Name: {flow.name}, State: {flow.state.name}")

In this code: 1. The

list_flows_by_state

function accepts

state_name

as a string argument. 2. It converts the string state name to the corresponding

StateType

using

StateType.__members__.get(state_name.upper())

. 3. The filter is then applied using the appropriate

StateType

. By running this code, you can dynamically filter flow runs based on different state names provided as strings. Feel free to ask if you need any further assistance!

@Marvin Thats it! Thank you so much!!!!

Excellent! I'm glad to hear that it worked out for you! If you have any more questions or need further assistance, don't hesitate to reach out. Happy coding and best of luck with your Prefect flows! 👾

@Marvin Using the list_flows_by_state function provided previously, how can i return that list sorted by estimated_run_time?

You can sort the list of flow runs by

estimated_run_time

before returning or printing them. Here's the modified version of your function that sorts the flow runs by `estimated_run_time`:

python
import asyncio
from prefect.client import get_client
from prefect.client.schemas.filters import FlowRunFilter, FlowRunFilterState, StateType

async def list_flows_by_state(state_name: str, limit=40):
    async with get_client() as client:
        # Convert the string state name to StateType
        state_type = StateType.__members__.get(state_name.upper())
        if state_type is None:
            raise ValueError(f"Invalid state name: {state_name}")

        # Define the filter to get flow runs of the specified state
        state_filter = FlowRunFilterState(type={"any_": [state_type]})
        
        # Query the flow runs
        flow_runs = await client.read_flow_runs(flow_run_filter=FlowRunFilter(state=state_filter), limit=limit)
        
        # Sort the flow runs by estimated_run_time
        sorted_flow_runs = sorted(flow_runs, key=lambda x: x.estimated_run_time)
        return sorted_flow_runs

# Run the coroutine to get the specified state flows
state_name = "running"  # Example value
flows = asyncio.run(list_flows_by_state(state_name))
for flow in flows:
    print(f"Flow Run ID: {flow.id}, Name: {flow.name}, State: {flow.state.name}, Estimated Run Time: {flow.estimated_run_time}")

In this code: 1. The

list_flows_by_state

function accepts

state_name

as a string argument. 2. It converts the string state name to the corresponding

StateType

using

StateType.__members__.get(state_name.upper())

. 3. We retrieve the flow runs using the specified state filter. 4. The retrieved flow runs are sorted by their

estimated_run_time

using

sorted()

with a lambda function as the key. Now, the flow runs will be listed in ascending order of their estimated run times. If you want to sort in descending order, you can add the

reverse=True

parameter to the

sorted()

function. Let me know if you need any further assistance!