soham butala
04/18/2023, 5:52 AMMarvin
04/18/2023, 5:54 AMpython
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.soham butala
04/18/2023, 6:08 AMMarvin
04/18/2023, 6:08 AMflow.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.soham butala
04/18/2023, 6:17 AMMarvin
04/18/2023, 6:18 AMbash
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.soham butala
04/18/2023, 6:20 AMMarvin
04/18/2023, 6:21 AMpython
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.soham butala
04/18/2023, 8:40 AMfrom prefect.agent.local import LocalAgent
from prefect.agent import Agent
with version 2.10.4Marvin
04/18/2023, 8:41 AMbash
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.soham butala
04/18/2023, 8:44 AMMarvin
04/18/2023, 8:45 AMprefect 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.soham butala
04/18/2023, 9:41 AMMarvin
04/18/2023, 9:41 AMNate
04/18/2023, 1:31 PMprefect profile create <profile_name>
or by editing ~/.prefect/profiles.toml
directly like thisMarvin
04/18/2023, 1:33 PMprefect 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.soham butala
04/18/2023, 9:11 PMdef 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)
Marvin
04/18/2023, 9:12 PMSettingsContext
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.Nate
04/18/2023, 9:29 PMRegarding 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_settingssoham butala
04/19/2023, 2:26 AMIf 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 ?Marvin
04/19/2023, 2:26 AMNate
04/20/2023, 5:56 PMtemporary_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?soham butala
04/20/2023, 7:41 PMNate
04/20/2023, 7:51 PM