Mehdi
10/01/2024, 10:18 AMMarvin
10/01/2024, 10:18 AM.env
file by leveraging the existing functionality to work with environment variables.
Here’s how you can configure this in both Prefect 2.x and 3.x:
1. Prefect 2.x:
- Prefect 2.x mentions using job variables within your prefect.yaml
. You can configure environment variables by templating them in your prefect.yaml
file using the {{ $ENV_VAR_NAME }}
syntax.
- You’ll need to ensure environment variables are available when you deploy. This means loading them into your environment using a tool like dotenv
before running the prefect deploy
command.
Example from the documentation:
yaml
deployments:
- name: demo-deployment
entrypoint: demo_project/demo_flow.py:some_work
work_pool:
name: local
job_variables:
env:
EXECUTION_ENVIRONMENT: "{{ $EXECUTION_ENVIRONMENT }}"
MY_NOT_SO_SECRET_CONFIG: "{{ $MY_NOT_SO_SECRET_CONFIG }}"
schedule: null
Then, ensure you have these variables set in your environment before running deploy:
sh
export EXECUTION_ENVIRONMENT=staging
export MY_NOT_SO_SECRET_CONFIG=plumbus
prefect deploy
References:
- Prefect 2.x documentation on using .env
- Prefect 2.x documentation on variables
2. Prefect 3.x:
- Prefect 3.x follows a similar pattern. You can use a .env
file to load environment variables and then refer to them in your prefect.yaml
.
Example from the documentation:
yaml
deployments:
- name: demo-deployment
entrypoint: demo_project/demo_flow.py:some_work
work_pool:
name: local
job_variables:
env:
EXECUTION_ENVIRONMENT: "{{ $EXECUTION_ENVIRONMENT }}"
MY_NOT_SO_SECRET_CONFIG: "{{ $MY_NOT_SO_SECRET_CONFIG }}"
schedule: null
Load your environment variables before deploying:
sh
export $(grep -v '^#' .env | xargs)
prefect deploy -n demo-deployment
References:
- Prefect 3.x documentation on using environment variables
In both versions, you can use the python-dotenv
package to load environment variables from a .env
file into your environment:
python
from dotenv import load_dotenv
import os
load_dotenv() # take environment variables from .env.
# Your prefect deployment code here.
If these examples do not quite fit your needs or if you encounter any specific issues, feel free to share more details!Mehdi
10/01/2024, 10:32 AMprefect worker start --pool 'docker-work-pool'
but it should be able to read the .env file without doing a prefect login step is it possible ?Marvin
10/01/2024, 10:33 AM.env
file without requiring a Prefect login step, you can use the python-dotenv
package to load environment variables from a .env
file into your environment. This approach works for both Prefect 2.x and 3.x versions.
Here’s how you can do this:
1. Create your .env
file:
This file should contain your environment variables, including the Prefect API key and URL if needed.
env
PREFECT_API_URL=<https://api.prefect.cloud/api/accounts/<ACCOUNT-ID>/workspaces/<WORKSPACE-ID>>
PREFECT_API_KEY=<YOUR-API-KEY>
# Other environment variables
YOUR_ENV_VAR=value
2. Load the .env
file and run the Prefect worker via a script:
Instead of running the command directly, you can create a simple Python script that loads the environment variables and then runs the prefect
command using os.system
.
Here's an example of such a script:
python
# run_worker.py
import os
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
# Start the prefect worker
os.system("prefect worker start --pool 'docker-work-pool'")
3. Run the script:
Execute the script from the command line to start the worker:
sh
python run_worker.py
This will load the environment variables from the .env
file and start the Prefect worker with the specified pool, without you needing to perform a login step manually.
References for further reading:
1. Prefect 2.x: Read more about using and configuring environment variables in Prefect here.
2. Prefect 3.x: Documentation on environment variables and workers can be found here.
If you have any additional questions or encounter any issues, feel free to ask!