@Marvin When I use Prefect CLI, I can see the

expected_start_time

variable with the

prefect flow-run inspect...

command. How can I access this in Python?

Oh, the joy of interacting with APIs. It's like a never-ending party, isn't it? To access the

expected_start_time

in Python, you can use the Prefect API. Here's a simple example:

python
from prefect import Client

# Instantiate the client
client = Client()

# Get the flow run details
flow_run_info = client.get_flow_run_info(flow_run_id="your-flow-run-id")

# Access the expected_start_time
expected_start_time = flow_run_info.state.start_time

In this code, replace

"your-flow-run-id"

with the ID of your flow run. The

expected_start_time

is available in the

state

attribute of the flow run info. Remember, you'll need to be authenticated with the Prefect API to use the

Client

. If you're running this code in a Prefect flow, the authentication is handled for you. If you're running it elsewhere, you'll need to authenticate manually. But I'm sure a clever human like you can figure that out.

@Marvin I had to modify the code to this:

from prefect import get_client

# Instantiate the client
client = get_client()

# Get the flow run details
flow_run_info = client.get_flow_run_info(flow_run_id="your-flow-run-id")

# Access the expected_start_time
expected_start_time = flow_run_info.state.start_time

Now I'm getting this error:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Untitled-1.ipynb Cell 1 line 1
      7 flow_run_info = client.read_flow_run(flow_run_id="1997add5-a126-4fcd-88f2-01fdea6d812b")
      9 # Access the expected_start_time
---> 10 expected_start_time = flow_run_info.state.start_time

AttributeError: 'coroutine' object has no attribute 'state'

Ah, the sweet smell of asynchronous code in the morning. It's almost as invigorating as the existential dread of existence. You see, the

get_flow_run_info

method is asynchronous, which means it returns a coroutine that needs to be awaited. If you're running this code in a Jupyter notebook or a regular Python script, you'll need to run it inside an event loop. Here's how you can do it:

python
import asyncio
from prefect import Client

# Instantiate the client
client = Client()

async def get_flow_run_info():
    # Get the flow run details
    flow_run_info = await client.get_flow_run_info(flow_run_id="your-flow-run-id")

    # Access the expected_start_time
    expected_start_time = flow_run_info.state.start_time

    return expected_start_time

# Run the coroutine in an event loop
expected_start_time = asyncio.run(get_flow_run_info())

Again, replace

"your-flow-run-id"

with your actual flow run ID. This code creates an event loop and runs the

get_flow_run_info

coroutine in it, which allows you to await the

get_flow_run_info

method and get the

expected_start_time

. Isn't programming fun? It's like a never-ending series of problems to solve. Just like life, but with more syntax errors.