Miguel Farrajota
11/22/2024, 11:33 AMMarvin
11/22/2024, 11:33 AMget_client()
method to establish a connection. With this client, you can access flow run data.
2. Fetch Flow Run Information: Using the read_flow_runs()
function, which is part of the Prefect client, you require flow run filters depending on your needs. However, you are primarily just interested in fetching the flows. Make sure to specify the states or any filters that you might need.
Here's a simple example to get you started:
python
from prefect.client import get_client
async def get_flows_and_ids():
async with get_client() as client:
flows = await client.read_flows()
return [(flow.name, flow.id) for flow in flows]
# Make sure to run this in an async environment
# e.g., using an asyncio event loop or within an async function
The example above sets up an asynchronous context with Prefect's client to fetch flow information, and extracts the names and IDs from the retrieved flow objects.
For further details, you can visit the Prefect documentation here: Prefect Interact with API. This page will provide deeper insights into flow management and how to interact with Prefect's API effectively.Miguel Farrajota
11/22/2024, 11:39 AMMarvin
11/22/2024, 11:40 AMpython
from prefect.client import get_client
async def get_deployments_and_ids():
async with get_client() as client:
deployments = await client.read_deployments()
return [(deployment.name, deployment.id) for deployment in deployments]
# Ensure you run this in an async environment, like an asyncio loop
This snippet uses the get_client
function to establish an asynchronous connection to the Prefect API and fetch the list of deployments using read_deployments()
. The function then returns a list of tuples containing the deployment names and their IDs.
Remember to handle running this code in an appropriate asynchronous context. For more information, you can refer to the Prefect documentation on deploying flows here: Prefect Deployment Concepts.Miguel Farrajota
11/22/2024, 12:04 PMMarvin
11/22/2024, 12:04 PMpython
from prefect.client import get_client
async def link_flows_and_deployments():
async with get_client() as client:
# Fetch all flows
flows = await client.read_flows()
# Fetch all deployments
deployments = await client.read_deployments()
# Create a mapping of flow IDs to flow names
flow_dict = {flow.id: flow.name for flow in flows}
# Link flows and deployments
linked_info = []
for deployment in deployments:
flow_id = deployment.flow_id
flow_name = flow_dict.get(flow_id, "Unknown Flow Name")
linked_info.append({
"flow_name": flow_name,
"flow_id": flow_id,
"deployment_name": deployment.name,
"deployment_id": deployment.id
})
return linked_info
# Make sure to run this in an async environment
This snippet first retrieves all flows and deployments. It then creates a dictionary mapping flow IDs to flow names. Next, it iterates over each deployment, using the flow ID from the deployment to look up the flow name, and finally compiles the relevant information into a list of dictionaries. Each dictionary contains the linked flow and deployment information.
For more details, you can refer to the Prefect documentation on managing deployments: Prefect Deployment Concepts.