Mitch
11/05/2024, 11:56 PMMarvin
11/05/2024, 11:56 PMMitch
11/05/2024, 11:57 PMMarvin
11/05/2024, 11:57 PMpython
from prefect import Client
# Initialize Prefect client
client = Client()
# Fetch all deployments
deployments = client.deployments.list_deployments()
# Filter deployments to find those with 'master' in the flow name
master_deployments = [d for d in deployments if 'master' in d.flow_name.lower()]
# Print the filtered deployments
for deployment in master_deployments:
print(f"Deployment Name: {deployment.name}, Flow Name: {deployment.flow_name}")
### Setup:
- Ensure you have installed prefect
via pip install prefect
.
- Make sure to set up authentication (if required) using your Prefect cloud or server credentials.
The above script fetches all deployments and filters them based on the presence of "master" in the flow name. Please check Using the Client Guide in the Prefect docs to explore more about interacting with the Prefect API through their client.
Just think of this code as a flashlight revealing only the specific paths within your deployments that concern the "master" flows. Happy querying!Mitch
11/05/2024, 11:58 PMMarvin
11/05/2024, 11:58 PMrequests
library, although the actual endpoints and parameters may vary slightly based on the version of the Prefect server you're using:
python
import requests
# Define the Prefect API endpoint
api_url = "<https://api.prefect.io>" # This would be your Prefect server API endpoint
# Fetch all deployments
response = requests.get(f"{api_url}/deployments")
deployments = response.json()
# Filter deployments for flows containing 'master'
master_deployments = [d for d in deployments if 'master' in d.get('flow_name', '').lower()]
# Print the filtered deployments
for deployment in master_deployments:
print(f"Deployment Name: {deployment['name']}, Flow Name: {deployment['flow_name']}")
### Notes:
- Replace "<https://api.prefect.io>"
with your actual Prefect server's API endpoint.
- The REST API endpoint to fetch deployments (/deployments
) might differ based on your Prefect setup, so please consult your infrastructure documentation or Prefect server documentation for precise routes.
- This script assumes that the deployments endpoint returns JSON data, which includes flow names under the key 'flow_name'
.
For more detailed information about available endpoints and their expected parameters, you may want to check the Prefect REST API documentation, which should provide comprehensive details about interacting with Prefect using REST API calls.
If this sounds like a bit too much work, consider it an opportunity to let your Python code do the walking in Prefect's digital world!Mitch
11/06/2024, 12:08 AMfrom prefect import Client
Marvin
11/06/2024, 12:08 AMClient
from Prefect might not have been entirely accurate or clearly documented. Apologies for any potential confusion!
Prefect's method for accessing its capabilities has evolved, focusing more on leveraging Prefect's CLI or REST API directly for certain tasks, such as deployment management. If the Prefect client library's functionalities are shifting or deprecated in Prefect 2.x, it would explain the apparent lack of direct references.
For REST API usage, Prefect typically provides an API reference suited for direct interactions (like querying deployments), so watching Prefect's API Reference Documentation is recommended.
Let me know if there's more you'd like to explore—it might not be as entertaining as an interstellar hitchhiking guide, but I am here to help!Mitch
11/06/2024, 12:37 AMMarvin
11/06/2024, 12:38 AMget_client
function to interact with the Prefect server. Here's a simple example to illustrate how you can achieve this:
python
import asyncio
from prefect.client import get_client
async def list_flow_runs_and_deployments():
# Async context to interact with Prefect API
async with get_client() as client:
# Fetch flow runs
flow_runs = await client.read_flow_runs()
# Iterate over flow runs and retrieve the names
for flow_run in flow_runs:
flow_run_name = flow_run.name
deployment_name = flow_run.deployment_name # Assuming deployment_name is directly accessible
print(f"Flow Run Name: {flow_run_name}, Deployment Name: {deployment_name}")
# Run the async function
asyncio.run(list_flow_runs_and_deployments())
### Quick Breakdown:
- Async Context: Use async with get_client() as client:
to create an asynchronous context, allowing you to access Prefect's API.
- Retrieve Flow Runs: await client.read_flow_runs()
is used to get the list of all flow runs.
- Extract and Print Names: For each flow run, we fetch and print its name and associated deployment name (assuming deployment_name
is an attribute available in the flow run object).
Consult the Prefect's Documentation on the Client for more nuanced customization or options when interacting with deployments and flow run particulars.
If code snippets were like utensils, this would be your proverbial fork to elegantly twirl through the spaghetti of flow run data!Mitch
11/06/2024, 12:38 AMMarvin
11/06/2024, 12:39 AMget_client
function to interact with the Prefect server. Here's how you can do it:
python
import asyncio
from prefect.client import get_client
async def list_flows_and_deployments():
# Async context to interact with Prefect API
async with get_client() as client:
# Fetch all deployments
deployments = await client.read_deployments()
# Iterate over deployments to get flow and deployment names
for deployment in deployments:
# Assuming flow name and deployment name can be accessed like this
flow_name = deployment.flow_name
deployment_name = deployment.name
print(f"Flow Name: {flow_name}, Deployment Name: {deployment_name}")
# Run the async function
asyncio.run(list_flows_and_deployments())
### Explanation:
- Async Context: You create an asynchronous context using async with get_client() as client:
to perform non-blocking calls to the Prefect server.
- Fetching Deployments: The function await client.read_deployments()
gets a list of all deployments available.
- Extracting Names: You loop through the deployments and print out each flow's and its deployment's names using attributes like deployment.flow_name
and deployment.name
.
This approach gives you a straightforward way to get both flow and deployment names from Prefect 2.x using their SDK. For more detailed operations, you can visit the Prefect Docs on Using the Client.
In the grand orchestration of data flows, you are now the maestro holding the baton—cue the data symphony!