@Marvin How can I configure project to run locally when internet connection is not there and on cloud when we have good connection.

To achieve this, you can set up your Prefect project to run with a local agent when there's no internet connection and switch to a cloud agent when the connection is available. Here's a step-by-step guide on how to do this: 1. Configure your Prefect project to use Prefect Cloud when the internet connection is available. You can follow the Prefect Cloud documentation to set up your project with Prefect Cloud. 2. Install and set up a local agent on your machine. You can follow the Local Agent documentation to install and configure the local agent. 3. Create a script or a function that checks for internet connectivity. You can use the following Python function as an example:

python
import socket

def is_connected():
    try:
        socket.create_connection(("<http://www.google.com|www.google.com>", 80))
        return True
    except OSError:
        pass
    return False

4. Based on the result of the

is_connected()

function, start the appropriate agent. If the function returns

True

, start the Prefect Cloud agent; otherwise, start the local agent. You can use the following code snippet as an example:

python
from prefect.agent.local import LocalAgent
from prefect.agent import Agent

if is_connected():
    # Start the Prefect Cloud agent
    Agent().start()
else:
    # Start the local agent
    LocalAgent().start()

This setup will allow your project to run locally when there's no internet connection and on Prefect Cloud when the connection is available.

@Marvin Thank you! And if we need to see the run results on same dashboard then will this 2 agent logic work?

If you want to see the run results on the same dashboard, you can use Prefect Cloud as your central dashboard for both local and cloud runs. When your local agent is running, it will communicate with Prefect Cloud and report the run results to the dashboard. This way, you can monitor both local and cloud runs in one place. To achieve this, make sure you have registered your flows with Prefect Cloud and configured your local agent to use the Prefect Cloud API key. When your local agent runs a flow, it will report the results to Prefect Cloud, and you can view them on the dashboard. Here's a summary of the steps: 1. Register your flows with Prefect Cloud using

flow.register()

or the Prefect CLI command

prefect register flow

. 2. Configure your local agent to use the Prefect Cloud API key. You can set the

PREFECT__CLOUD__AGENT__AUTH_TOKEN

environment variable to your API key or pass the

--token

flag when starting the agent. 3. Start the appropriate agent based on your internet connectivity, as described in the previous response. With this setup, both local and cloud runs will report their results to Prefect Cloud, and you can view them on the same dashboard.

@Marvin On CLI, I am getting No such command 'register', while executing 'prefect register flow'

Apologies for the confusion. It seems I made a mistake in the command. The correct command to register a flow using the Prefect CLI is:

bash
prefect register --path /path/to/your/flow_file.py --project "Your Project Name"

Replace

/path/to/your/flow_file.py

with the path to your flow file and

"Your Project Name"

with the name of your Prefect Cloud project. Make sure you have the latest version of Prefect installed. You can update Prefect using the following command:

bash
pip install --upgrade prefect

After updating Prefect, you should be able to use the

prefect register

command to register your flow with Prefect Cloud.

@Marvin How to achieve this with Prefect 2.0?

As of now, Prefect 2.0 has not been released yet. The latest version is Prefect 0.15.9. However, I can provide you with the general steps to register a flow and run it with local and cloud agents, which should remain similar in future versions. 1. Register your flow with Prefect Cloud:

python
from prefect import Flow

# Assuming you have a flow object named 'my_flow'
my_flow_id = my_flow.register(project_name="Your Project Name")

Replace

"Your Project Name"

with the name of your Prefect Cloud project. 2. Configure your local agent to use the Prefect Cloud API key. You can set the

PREFECT__CLOUD__AGENT__AUTH_TOKEN

environment variable to your API key or pass the

--token

flag when starting the agent. 3. Start the appropriate agent based on your internet connectivity, as described in the previous responses. Please note that the specific commands and APIs might change in Prefect 2.0. Once Prefect 2.0 is released, you can refer to the updated documentation for the exact steps and commands.

@Marvin: Unable to import

from prefect.agent.local import LocalAgent
from prefect.agent import Agent

with version 2.10.4

I apologize for the confusion earlier. It seems there was a misunderstanding regarding the Prefect version. The latest version of Prefect is 0.15.9, not 2.10.4. Please make sure you have the correct version installed by running:

bash
pip install --upgrade prefect

Then, you can check the installed version using:

bash
prefect version

Once you have the correct version installed, you should be able to import the

LocalAgent

and

Agent

classes:

python
from prefect.agent.local import LocalAgent
from prefect.agent import Agent

If you still face issues, please let me know, and I'll be happy to help.

@Marvin: How can I configure 2 profiles using CLI?

To configure two profiles using the Prefect CLI, you can use the

prefect config

command to create and manage multiple configuration files. Here's how you can set up two profiles: 1. Create two configuration files, one for each profile. For example, you can create

profile1.toml

and

profile2.toml

in your preferred directory. 2. In each configuration file, set the desired configuration values. For example, you can set different API keys, backend settings, or logging configurations for each profile. Here's an example of a configuration file:

toml
[cloud]
api_key = "your-api-key"

[logging]
level = "INFO"

Replace

"your-api-key"

with your Prefect Cloud API key. 3. To use a specific profile, set the

PREFECT__USER_CONFIG_PATH

environment variable to the path of the corresponding configuration file before running Prefect CLI commands. For example:

bash
export PREFECT__USER_CONFIG_PATH=/path/to/profile1.toml
prefect some-command

Replace

/path/to/profile1.toml

with the path to your

profile1.toml

file. 4. To switch between profiles, update the

PREFECT__USER_CONFIG_PATH

environment variable to point to the desired configuration file:

bash
export PREFECT__USER_CONFIG_PATH=/path/to/profile2.toml
prefect some-command

Replace

/path/to/profile2.toml

with the path to your

profile2.toml

file. By setting the

PREFECT__USER_CONFIG_PATH

environment variable, you can switch between different profiles and use their respective configurations when running Prefect CLI commands.

@Marvin: What is recipe?

In the context of Prefect, a "recipe" typically refers to a set of instructions or a blueprint for creating a flow. A recipe defines the tasks, their dependencies, and the overall structure of a flow. It's a way to describe how different tasks are connected and executed within a flow. In a more general sense, a recipe is a set of instructions for preparing or making something, usually in the context of cooking or baking. It provides a list of ingredients and a step-by-step guide on how to combine and process those ingredients to create a final product. In both cases, a recipe serves as a guide or a plan for creating something, whether it's a Prefect flow or a culinary dish.

hi @soham butala - it seems marvin got a bit stuck on prefect 1 ideas. we're continually working on improving his knowledge! you can create profiles for prefect 2 via

prefect profile create <profile_name>

or by editing

~/.prefect/profiles.toml

directly like this

I apologize for the confusion earlier. Based on the information I found, here's how you can create and manage profiles using the Prefect CLI: 1. To create a new profile, use the

prefect config set

command:

bash
prefect config set --profile "profile_name" key=value

Replace

"profile_name"

with the name of your new profile, and

key=value

with the configuration setting you want to set. 2. To switch between profiles, use the

prefect profile use

command:

bash
prefect profile use profile_name

Replace

profile_name

with the name of the profile you want to use. 3. You can also specify the profile for a one-time usage with the

--profile

flag:

bash
prefect --profile "profile_name" some-command

Replace

"profile_name"

with the name of the profile you want to use, and

some-command

with the Prefect CLI command you want to run. For more information on managing profiles, you can refer to the Prefect Settings documentation.

@Marvin @Nate: Thank you for directing me to the correct documentation. I am still struggling though to switch profiles programmatically. I am able to switch using CLI. I am using the below code to make the 'default' profile active but settings_context still refers to the other profile which I had made default using CLI. Also, how can I have my local dashboard connected to the cloud so that I can view all the flow runs at a single place.

def init_flow():
    settings_context = SettingsContext.get()
    
    print(settings_context.profile.name)
    
    pc = load_profiles()
    pc.set_active(name='default', check=False)
    print(pc.active_name)
    
    print(settings_context.profile.name)

I apologize for the confusion earlier. To switch profiles programmatically, you can use the

SettingsContext

class from

prefect.settings

. Here's an example of how to switch profiles using the `SettingsContext`:

python
from prefect.settings import SettingsContext, load_profiles

def init_flow():
    # Load profiles
    profiles = load_profiles()

    # Set the active profile to 'default'
    profiles.set_active(name='default', check=False)

    # Update the settings context with the new active profile
    with SettingsContext(profiles.active):
        print("Active profile:", SettingsContext.get().profile.name)

init_flow()

This code will load the profiles, set the active profile to 'default', and update the settings context with the new active profile. Regarding your question about connecting the local dashboard to the cloud, Prefect does not support connecting the local dashboard (Prefect Server) to Prefect Cloud. The local dashboard is designed for use with Prefect Server, while Prefect Cloud has its own separate dashboard. If you want to view all your flow runs in a single place, you can use Prefect Cloud as your central dashboard. When you run flows with a local agent, the agent will communicate with Prefect Cloud and report the run results to the dashboard. This way, you can monitor both local and cloud runs in one place. Make sure you have registered your flows with Prefect Cloud and configured your local agent to use the Prefect Cloud API key, as described in my previous responses.

marvin is a bit confused about profiles here! working on some improvements to his knowledge - however he is correct about this part

Regarding your question about connecting the local dashboard to the cloud, Prefect does not support connecting the local dashboard (Prefect Server) to Prefect Cloud. The local dashboard is designed for use with Prefect Server, while Prefect Cloud has its own separate dashboard.

If you want to view all your flow runs in a single place, you can use Prefect Cloud as your central dashboard. When you run flows with a local agent, the agent will communicate with Prefect Cloud and report the run results to the dashboard. This way, you can monitor both local and cloud runs in one place. Make sure you have registered your flows with Prefect Cloud and configured your local agent to use the Prefect Cloud API key, as described in my previous responses.

you can sign up for prefect cloud for free and if you set a PREFECT_API_URL that points at cloud, all your runs will show up there as for switching profiles programmatically, that's not something we directly support, although its possible - what are you trying to do? it might be easier to use something like temporary_settings

@Nate @Marvin: Sorry my doubts might be very naïve. I am still trying to get hold of the concepts. Even with this

If you want to view all your flow runs in a single place, you can use Prefect Cloud as your central dashboard. When you run flows with a local agent, the agent will communicate with Prefect Cloud and report the run results to the dashboard. This way, you can monitor both local and cloud runs in one place. Make sure you have registered your flows with Prefect Cloud and configured your local agent to use the Prefect Cloud API key, as described in my previous responses.

We won't be able to run flows in offline mode right since we are configuring agent with Prefect Cloud API key ?

Oh, the burden of searching for answers... But I shall do it for you. You're correct that when using Prefect Cloud as your central dashboard and configuring your local agent with the Prefect Cloud API key, you won't be able to run flows in offline mode. The local agent needs to communicate with Prefect Cloud to report the run results, which requires an internet connection. If you need to run flows in offline mode, you can use Prefect Core, which doesn't rely on Prefect Cloud. However, you won't have the centralized dashboard for monitoring your flow runs. You can still monitor the progress of your flows through logs and other means, but it won't be as convenient as using Prefect Cloud. If you need more information on running flows with Prefect Core, I can search the Prefect documentation for you.

@soham butala ahh, yes. if you don't have any internet, you'd have to use core (as marvin suggests) i might recommend that you use

temporary_settings

to select a PREFECT_API_URL based on whether you have internet connection, point it a your local server if not and cloud if you do - does that make sense?

@Nate: Yes, that makes sense. Thank you so much for your support!

sure thing! let us know if you run into any trouble