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!Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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