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# ask-marvin
d
@Marvin in function create_docker_container how can I pass the environment variables specified on the .env file on from the host level?
m
To pass environment variables specified in a 
.env
file to the 
create_docker_container
function, you can reference these variables directly in your Docker configuration. Here’s a brief outline for you: 1. Read the 
.env
file within your script before creating the Docker container. 2. Pass the variables from the 
.env
file to the Docker container using the 
environment
parameter. You can follow detailed instructions in the Prefect Docker guide available here. If you need additional code examples or have specific setup requirements, please let me know!
d
@Marvin in this case how would I be able to do that: @task async def create_container(command_params): logger = get_run_logger() logger.info("Creating a container with the specified flags...") container = await create_docker_container( image="nginx:latest", command=["bash", "-c", command_params], volumes=[ "/data:/data", ], device_requests=[ { 'Driver': 'nvidia', 'Count': -1, 'Capabilities': [['gpu']], }, ], group_add=["seedoo"], detach=True, tty=True, stdin_open=True, cap_add=["SYSLOG"], shm_size="64G" ) logger.info(f"Created container: {container}") return container
m
To pass environment variables from a 
.env
file to the 
create_docker_container
function in your task, you can follow these general steps: 1. Read the environment variables from the 
.env
file. 2. Pass these variables when creating the Docker container. Here's an updated version of your task with these steps:
Copy code
python
import os
from dotenv import load_dotenv
from prefect import task, get_run_logger
from prefect.infrastructure.docker import create_docker_container

# Load environment variables from .env file
load_dotenv()

@task
async def create_container(command_params):
    logger = get_run_logger()
    <http://logger.info|logger.info>("Creating a container with the specified flags...")
    
    # Read environment variables
    env_vars = {
        'MY_ENV_VAR1': os.getenv('MY_ENV_VAR1'),
        'MY_ENV_VAR2': os.getenv('MY_ENV_VAR2'),
        # Add more variables as needed
    }
    
    container = await create_docker_container(
        image="nginx:latest",
        command=["bash", "-c", command_params],
        volumes=[
            "/data:/data",
        ],
        device_requests=[
            {
                'Driver': 'nvidia',
                'Count': -1,
                'Capabilities': [['gpu']],
            },
        ],
        group_add=["seedoo"],
        detach=True,
        tty=True,
        stdin_open=True,
        cap_add=["SYSLOG"],
        shm_size="64G",
        environment=env_vars  # Pass environment variables
    )
    
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container
This example assumes you have a 
.env
file with variables like 
MY_ENV_VAR1
and 
MY_ENV_VAR2
. Adjust the keys and values as necessary. For more detailed information, visit the Prefect Docker guide: Link to Guide.
d
@Marvin will these environments variables I set here be visible in the Prefect UI?
m
Environment variables set within a Docker container are generally not visible from the Prefect UI. Prefect's environment variables guide mentions that sensitive information like credentials should be stored using Secret blocks rather than environment variables visible in the UI. However, Prefect supports the creation and management of non-sensitive variables through its UI, API, and CLI, but these are not the same as the Docker container environment variables. For more details on managing variables through Prefect, visit the Prefect Variables Guide. If you need to handle sensitive information or ensure that the variables are managed securely, consider using Secret blocks as recommended. If you want to retrieve and display specific information in the UI, you can utilize Prefect's logging and data management features to expose relevant non-sensitive information.
d
@Marvin I have this flow.py script where I have a task that basically does the following: @task async def pull_image(credentials): logger = get_run_logger() logger.info("Pulling the latest image from the private repository...") image = await pull_docker_image( repository="seedooinsights/build", tag="latest", docker_registry_credentials=credentials ) logger.info(f"Pulled image: {image}") return image @task async def create_container(command_params): logger = get_run_logger() logger.info("Creating a container with the specified flags...") container = await create_docker_container( image="seedooinsights/build:latest", command=["bash", "-c", command_params], ) logger.info(f"Created container: {container}") return container on the same directory as flow.py I have a .env file that I would like to be read dynamically all the key value env variables
m
You can read environment variables from the 
.env
file dynamically within your 
flow.py
by using the 
python-dotenv
library. Here's how you can modify your script to include this functionality: 1. Install the 
python-dotenv
library:
Copy code
pip install python-dotenv
2. Modify your 
flow.py
 to read the 
.env
file and pass the environment variables to your tasks. Here's the modified 
flow.py
script:
Copy code
python
import os
from dotenv import load_dotenv
from prefect import task, flow, get_run_logger
from prefect.infrastructure.docker import pull_docker_image, create_docker_container

# Load environment variables from .env file
load_dotenv()

@task
async def pull_image():
    credentials = {
        'username': os.getenv('DOCKER_USERNAME'),
        'password': os.getenv('DOCKER_PASSWORD')
    }
    
    logger = get_run_logger()
    <http://logger.info|logger.info>("Pulling the latest image from the private repository...")
    image = await pull_docker_image(
        repository="seedooinsights/build",
        tag="latest",
        docker_registry_credentials=credentials
    )
    <http://logger.info|logger.info>(f"Pulled image: {image}")
    return image

@task
async def create_container(command_params):
    logger = get_run_logger()
    <http://logger.info|logger.info>("Creating a container with the specified flags...")
    
    container = await create_docker_container(
        image="seedooinsights/build:latest",
        command=["bash", "-c", command_params],
        environment={
            'MY_ENV_VAR1': os.getenv('MY_ENV_VAR1'),
            'MY_ENV_VAR2': os.getenv('MY_ENV_VAR2'),
            # Add more variables as needed
        }
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

@flow
async def main_flow():
    await pull_image()
    await create_container("your-command-parameters")

if __name__ == "__main__":
    main_flow()
Explanation: - Loading Environment Variables: 
load_dotenv()
reads the 
.env
file and loads the environment variables. - Credentials: The 
pull_image
task reads Docker credentials from the environment variables. - Environment Variables: The 
create_container
task constructs an 
environment
dictionary by loading environment variables dynamically from the 
.env
file. Make sure your 
.env
file includes variables like:
Copy code
DOCKER_USERNAME=your_docker_username
DOCKER_PASSWORD=your_docker_password
MY_ENV_VAR1=value1
MY_ENV_VAR2=value2
This way, the tasks will be able to read environment variables dynamically from the 
.env
file.
d
@Marvin I am using worker pool of type docker so that would mean I would need to have the .env file accessible for the docker container running the flow.py. I don't want to have the .env file as part of the image with sensitive env variables
m
To avoid including the 
.env
file with sensitive variables in the Docker image when using a Docker worker pool, you can pass the environment variables directly through the deployment configuration. You can achieve this by setting the environment variables in the deployment's 
prefect.yaml
file or through the 
.deploy()
method. Here’s how you can do it: ### Using 
prefect.yaml
File 1. Create or Update your 
prefect.yaml
:
Copy code
yaml
    deployments:
      - name: my-flow-deployment
        description: A deployment using a Docker worker pool
        version: 1
        tags: []
        schedule: {}
        work_pool_name: my-docker-pool
        parameters: {}
        infrastructure_overrides:
          env:
            DOCKER_USERNAME: "${{ secrets.DOCKER_USERNAME }}"
            DOCKER_PASSWORD: "${{ secrets.DOCKER_PASSWORD }}"
            MY_ENV_VAR1: "${{ secrets.MY_ENV_VAR1 }}"
            MY_ENV_VAR2: "${{ secrets.MY_ENV_VAR2 }}"
2. Use Prefect Secrets for sensitive values which will be injected into your deployment. ### Using 
.deploy()
Method
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python
from prefect.deployments import Deployment
from prefect.infrastructure.docker import DockerContainer
from your_flow_file import main_flow

credentials = {
    'DOCKER_USERNAME': 'your-docker-username',
    'DOCKER_PASSWORD': 'your-docker-password',
    'MY_ENV_VAR1': 'value1',
    'MY_ENV_VAR2': 'value2'
}

docker_infra = DockerContainer(
    env=credentials,
    image="seedooinsights/build:latest"
)

deployment = Deployment.build_from_flow(
    flow=main_flow,
    name="my-docker-deployment",
    infrastructure=docker_infra,
)

if __name__ == "__main__":
    deployment.apply()
Explanation: - Using 
prefect.yaml
: You set environment variables under 
infrastructure_overrides
which will be available to your Docker worker. - Using 
.deploy()
Method: You can directly pass the environment variables to the Docker container while defining the infrastructure. Ensure you have the environment variables available securely within your Prefect Cloud or Prefect server environments using Prefect Secrets or by configuring them directly in your deployment configuration. For a deeper dive into overriding job variables, refer to Prefect's guide here: Overriding Job Variables.
d
@Marvin I need basically to securely read the env variables I pass to prefect worker containers using docker compose to also pass along the containers I create with flow.py. How can one do this safely?
m
To securely read environment variables in your Prefect worker containers started with Docker Compose and pass them along to other Docker containers created in 
flow.py
, you should follow these steps: 1. Use Docker Secrets to manage sensitive data safely. 2. Read the environment variables from the Prefect worker and pass them securely. ### Step 1: Configure Docker Compose to Use Secrets First, create Docker secrets for your sensitive environment variables. 1. Create Secrets Files (e.g., 
docker_username
and 
docker_password
):
Copy code
echo "your_docker_username" > docker_username
    echo "your_docker_password" > docker_password
2. Update 
docker-compose.yml
 to use these secrets:
Copy code
yaml
    version: '3.7'
    services:
      prefect-worker:
        image: your_prefect_worker_image
        environment:
          - DOCKER_USERNAME_FILE=/run/secrets/docker_username
          - DOCKER_PASSWORD_FILE=/run_secrets/docker_password
        secrets:
          - docker_username
          - docker_password
      
    secrets:
      docker_username:
        file: ./docker_username
      docker_password:
        file: ./docker_password
### Step 2: Securely Pass Environment Variables Modify your 
flow.py
to read the environment variables from the Prefect worker and pass them to the Docker containers it creates:
Copy code
python
import os
from dotenv import load_dotenv
from prefect import task, flow, get_run_logger
from prefect.infrastructure.docker import pull_docker_image, create_docker_container

# Load environment variables directly
DOCKER_USERNAME = open('/run/secrets/docker_username').read().strip()
DOCKER_PASSWORD = open('/run/secrets/docker_password').read().strip()

@task
async def pull_image():
    credentials = {
        'username': DOCKER_USERNAME,
        'password': DOCKER_PASSWORD
    }
    
    logger = get_run_logger()
    <http://logger.info|logger.info>("Pulling the latest image from the private repository...")
    image = await pull_docker_image(
        repository="seedooinsights/build",
        tag="latest",
        docker_registry_credentials=credentials
    )
    <http://logger.info|logger.info>(f"Pulled image: {image}")
    return image

@task
async def create_container(command_params):
    logger = get_run_logger()
    <http://logger.info|logger.info>("Creating a container with the specified flags...")
    
    container = await create_docker_container(
        image="seedooinsights/build:latest",
        command=["bash", "-c", command_params],
        environment={
            'MY_ENV_VAR1': os.getenv('MY_ENV_VAR1'),
            'MY_ENV_VAR2': os.getenv('MY_ENV_VAR2'),
            # Pass additional environment variables as needed
        }
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

@flow
async def main_flow():
    await pull_image()
    await create_container("your-command-parameters")

if __name__ == "__main__":
    main_flow()
### Summary - Docker Secrets: Use Docker secrets to manage sensitive environment variables securely. - Environment Variables Handling: Ensure that the Prefect worker reads and passes these environment variables securely to other Docker containers it creates. For more detailed instructions on managing job variables and configuring work pools, refer to Prefect's guide here.
d
@Marvin but I don't have them on os.getenv they are set in .env file which is on the same directory as the flow.py file
m
To securely pass environment variables from a 
.env
file to your Docker containers while using a Prefect worker pool, you can load these variables into the Prefect worker container and then propagate them to the Docker containers created by your flow tasks. Here’s how you can do it: ### Step 1: Update Docker Compose to Include the 
.env
File 1. Update your 
docker-compose.yml
 to load environment variables from the 
.env
file:
Copy code
yaml
    version: '3.7'
    services:
      prefect-worker:
        image: your_prefect_worker_image
        env_file:
          - .env  # Load environment variables from .env file
### Step 2: Modify 
flow.py
to Read and Pass Environment Variables Since the Prefect worker will already have the environment variables loaded from the 
.env
file, you can directly access these variables in your tasks. Here’s an example that demonstrates loading and propagating these environment variables:
Copy code
python
import os
from dotenv import load_dotenv  # Make sure you have `python-dotenv` installed
from prefect import task, flow, get_run_logger
from prefect.infrastructure.docker import pull_docker_image, create_docker_container

@task
async def pull_image():
    # Accessing Docker credentials from environment variables
    credentials = {
        'username': os.getenv('DOCKER_USERNAME'),
        'password': os.getenv('DOCKER_PASSWORD')
    }
    
    logger = get_run_logger()
    <http://logger.info|logger.info>("Pulling the latest image from the private repository...")
    image = await pull_docker_image(
        repository="seedooinsights/build",
        tag="latest",
        docker_registry_credentials=credentials
    )
    <http://logger.info|logger.info>(f"Pulled image: {image}")
    return image

@task
async def create_container(command_params):
    logger = get_run_logger()
    <http://logger.info|logger.info>("Creating a container with the specified flags...")
    
    # Propagate environment variables to the new Docker container
    env_vars = { 
        'MY_ENV_VAR1': os.getenv('MY_ENV_VAR1'),
        'MY_ENV_VAR2': os.getenv('MY_ENV_VAR2'),
        # Add more variables as needed
    }
    
    container = await create_docker_container(
        image="seedooinsights/build:latest",
        command=["bash", "-c", command_params],
        environment=env_vars  # Pass environment variables
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

@flow
async def main_flow():
    await pull_image()
    await create_container("your-command-parameters")

if __name__ == "__main__":
    # Ensure the .env file is loaded before running the flow
    load_dotenv()
    main_flow()
### Summary - Docker Compose: Ensure the Prefect worker container loads environment variables from the 
.env
file. - flow.py: Access environment variables using 
os.getenv
and propagate them to new Docker containers created by the flow tasks. This way, your Prefect worker will have access to the environment variables, and you can securely pass them to other Docker containers created within your flow tasks.
d
@Marvin but I don't want to load_dotenv() because these environment variables don't need to be set on the prefect-worker docker container so if the prefect worker container has access to the .env file how can I print and parse those environments to dynamically set them in my task at flow.py
m
If the 
.env
file is accessible to the Prefect worker container, but you don't want to load the environment variables into the worker container itself, you can read the file directly within your Python script and parse the environment variables dynamically when needed. Here's how you can achieve this: ### Step 1: Ensure .env File is Accessible Make sure that the 
.env
file is mounted or accessible within the Prefect worker container via Docker Compose:
Copy code
yaml
version: '3.7'
services:
  prefect-worker:
    image: your_prefect_worker_image
    volumes:
      - ./env_files/.env:/app/.env  # Mount .env file into the container
### Step 2: Modify 
flow.py
to Read and Parse the .env File Use the 
dotenv
package to read and parse the 
.env
file directly within your tasks:
Copy code
python
from prefect import task, flow, get_run_logger
from prefect.infrastructure.docker import pull_docker_image, create_docker_container

@task
async def pull_image():
    # Read and parse the .env file directly
    with open('/app/.env') as f:
        env_vars = dict(line.strip().split('=', 1) for line in f if not line.startswith('#') and line.strip())

    # Access Docker credentials from the parsed environment variables
    credentials = {
        'username': env_vars.get('DOCKER_USERNAME'),
        'password': env_vars.get('DOCKER_PASSWORD')
    }
    
    logger = get_run_logger()
    <http://logger.info|logger.info>("Pulling the latest image from the private repository...")
    image = await pull_docker_image(
        repository="seedooinsights/build",
        tag="latest",
        docker_registry_credentials=credentials
    )
    <http://logger.info|logger.info>(f"Pulled image: {image}")
    return image

@task
async def create_container(command_params):
    logger = get_run_logger()
    <http://logger.info|logger.info>("Creating a container with the specified flags...")
    
    # Read and parse the .env file directly
    with open('/app/.env') as f:
        env_vars = dict(line.strip().split('=', 1) for line in f if not line.startswith('#') and line.strip())

    # Propagate environment variables to the new Docker container
    container_env_vars = { 
        'MY_ENV_VAR1': env_vars.get('MY_ENV_VAR1'),
        'MY_ENV_VAR2': env_vars.get('MY_ENV_VAR2'),
        # Add more variables as needed
    }
    
    container = await create_docker_container(
        image="seedooinsights/build:latest",
        command=["bash", "-c", command_params],
        environment=container_env_vars  # Pass environment variables
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

@flow
async def main_flow():
    await pull_image()
    await create_container("your-command-parameters")

if __name__ == "__main__":
    main_flow()
### Key Points: 1. Mount 
.env
File: Ensure the 
.env
file is mounted into the Prefect worker container. 2. Parse 
.env
File: Read and parse the environment variables directly from the 
.env
file within your tasks without loading them into the worker container’s environment. This approach allows you to keep the sensitive environment variables within the 
.env
file and only read them when necessary within your tasks.
d
@Marvin this might work but what if I want the keys also to be set dynamically from whatever is present at the .env file
m
To dynamically set all key-value pairs from the 
.env
file in your tasks, you can read the entire 
.env
file and parse it into a dictionary, then pass this dictionary as environment variables to your Docker containers. This way, you won't need to hardcode any specific keys. Here’s how you can modify the script to achieve this: 1. Ensure 
.env
File is Accessible: - Update the 
docker-compose.yml
to mount the 
.env
file into the Prefect worker container:
Copy code
yaml
    version: '3.7'
    services:
      prefect-worker:
        image: your_prefect_worker_image
        volumes:
          - ./env_files/.env:/app/.env  # Mount .env file into the container
2. Modify 
flow.py
to Read and Pass All Environment Variables Dynamically:
Copy code
python
import os
from prefect import task, flow, get_run_logger
from prefect.infrastructure.docker import pull_docker_image, create_docker_container

# Utility function to read and parse .env file into a dictionary
def read_env_file(file_path):
    env_vars = {}
    with open(file_path) as f:
        for line in f:
            if line.strip() and not line.startswith('#'):
                key, value = line.strip().split('=', 1)
                env_vars[key] = value
    return env_vars

@task
async def pull_image():
    # Read and parse the .env file directly
    env_vars = read_env_file('/app/.env')

    # Access Docker credentials from the parsed environment variables
    credentials = {
        'username': env_vars.get('DOCKER_USERNAME'),
        'password': env_vars.get('DOCKER_PASSWORD')
    }
    
    logger = get_run_logger()
    <http://logger.info|logger.info>("Pulling the latest image from the private repository...")
    image = await pull_docker_image(
        repository="seedooinsights/build",
        tag="latest",
        docker_registry_credentials=credentials
    )
    <http://logger.info|logger.info>(f"Pulled image: {image}")
    return image

@task
async def create_container(command_params):
    logger = get_run_logger()
    <http://logger.info|logger.info>("Creating a container with the specified flags...")
    
    # Read and parse the .env file directly
    env_vars = read_env_file('/app/.env')

    # Pass all environment variables to the new Docker container
    container = await create_docker_container(
        image="seedooinsights/build:latest",
        command=["bash", "-c", command_params],
        environment=env_vars  # Pass all environment variables
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

@flow
async def main_flow():
    await pull_image()
    await create_container("your-command-parameters")

if __name__ == "__main__":
    main_flow()
### Summary: 1. Mount 
.env
File: Ensure your 
.env
file is mounted in the Prefect worker container. 2. Read and Parse 
.env
File: Use a utility function to read and dynamically parse all key-value pairs from the 
.env
file. 3. Pass Environment Variables: Pass the parsed environment variables to the Docker containers in your tasks. By following this approach, you ensure that all key-value pairs in the 
.env
file are dynamically read and set in your tasks, providing flexibility and security for managing environment variables.
d
@Marvin would this read_env_file be consider a prefect task as well? or I shouldn't use here task as this is utility function only
m
The 
read_env_file
function serves as a utility function and does not need to be a Prefect task. Prefect tasks are designed to encapsulate specific units of work that should be tracked and monitored by Prefect. In this case, 
read_env_file
is a helper function to read and parse environment variables, and it doesn't need the additional functionality that comes with being a Prefect task. Here's how you should structure your code: 1. Utility Function: Keep 
read_env_file
as a normal function. 2. Prefect Tasks: Use Prefect tasks for 
pull_image
and 
create_container
. This approach keeps your code clean and maintains a clear separation between utility functions and tasks that are tracked by Prefect. Here’s the updated implementation without making 
read_env_file
a task: ### `flow.py`:
Copy code
python
import os
from prefect import task, flow, get_run_logger
from prefect.infrastructure.docker import pull_docker_image, create_docker_container

# Utility function to read and parse .env file into a dictionary
def read_env_file(file_path):
    env_vars = {}
    with open(file_path) as f:
        for line in f:
            if line.strip() and not line.startswith('#'):
                key, value = line.strip().split('=', 1)
                env_vars[key] = value
    return env_vars

@task
async def pull_image():
    # Read and parse the .env file directly
    env_vars = read_env_file('/app/.env')

    # Access Docker credentials from the parsed environment variables
    credentials = {
        'username': env_vars.get('DOCKER_USERNAME'),
        'password': env_vars.get('DOCKER_PASSWORD')
    }
    
    logger = get_run_logger()
    <http://logger.info|logger.info>("Pulling the latest image from the private repository...")
    image = await pull_docker_image(
        repository="seedooinsights/build",
        tag="latest",
        docker_registry_credentials=credentials
    )
    <http://logger.info|logger.info>(f"Pulled image: {image}")
    return image

@task
async def create_container(command_params):
    logger = get_run_logger()
    <http://logger.info|logger.info>("Creating a container with the specified flags...")
    
    # Read and parse the .env file directly
    env_vars = read_env_file('/app/.env')

    # Pass all environment variables to the new Docker container
    container = await create_docker_container(
        image="seedooinsights/build:latest",
        command=["bash", "-c", command_params],
        environment=env_vars  # Pass all environment variables
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

@flow
async def main_flow():
    await pull_image()
    await create_container("your-command-parameters")

if __name__ == "__main__":
    main_flow()
### Summary: - Utility Function: 
read_env_file
is a utility function used within tasks but is not itself a task. - Prefect Tasks: Only use Prefect tasks for 
pull_image
and 
create_container
, which encapsulate the main units of work that should be tracked. This way, you follow best practices by keeping utility functions lightweight and focused, while leveraging Prefect tasks for more significant operations that benefit from Prefect's tracking and monitoring capabilities.
d
@Marvin can I make this also be dynamically assigned based on some input flag similar to command_params? env_vars = read_env_file('/app/.env')
m
Absolutely, you can dynamically assign the 
.env
file path based on an input flag, similar to how 
command_params
is handled. Here’s how you can structure your script to achieve this: 1. Modify your flow to accept an additional parameter for the 
.env
file path. 2. Read the .env file dynamically within the 
pull_image
and 
create_container
tasks based on the provided file path. ### Modified `flow.py`:
Copy code
python
import os
from prefect import task, flow, get_run_logger
from prefect.infrastructure.docker import pull_docker_image, create_docker_container

# Utility function to read and parse .env file into a dictionary
def read_env_file(file_path):
    env_vars = {}
    with open(file_path) as f:
        for line in f:
            if line.strip() and not line.startswith('#'):
                key, value = line.strip().split('=', 1)
                env_vars[key] = value
    return env_vars

@task
async def pull_image(env_file_path):
    # Read and parse the .env file dynamically based on input path
    env_vars = read_env_file(env_file_path)

    # Access Docker credentials from the parsed environment variables
    credentials = {
        'username': env_vars.get('DOCKER_USERNAME'),
        'password': env_vars.get('DOCKER_PASSWORD')
    }
    
    logger = get_run_logger()
    <http://logger.info|logger.info>("Pulling the latest image from the private repository...")
    image = await pull_docker_image(
        repository="seedooinsights/build",
        tag="latest",
        docker_registry_credentials=credentials
    )
    <http://logger.info|logger.info>(f"Pulled image: {image}")
    return image

@task
async def create_container(env_file_path, command_params):
    logger = get_run_logger()
    <http://logger.info|logger.info>("Creating a container with the specified flags...")
    
    # Read and parse the .env file dynamically based on input path
    env_vars = read_env_file(env_file_path)

    # Pass all environment variables to the new Docker container
    container = await create_docker_container(
        image="seedooinsights/build:latest",
        command=["bash", "-c", command_params],
        environment=env_vars  # Pass all environment variables
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

@flow
async def main_flow(env_file_path: str, command_params: str):
    await pull_image(env_file_path)
    await create_container(env_file_path, command_params)

if __name__ == "__main__":
    # Example of how you might want to pass the file path and command params dynamically
    env_file_path = '/app/.env'  # Or dynamically assign from some input flag
    command_params = "your-command-parameters"
    main_flow(env_file_path, command_params)
### Summary: 1. Dynamic .env File Path: The 
env_file_path
parameter is passed to both the 
pull_image
and 
create_container
tasks. 2. Utility Function Usage: The 
read_env_file
utility function reads and parses the 
.env
file location dynamically based on the input path. 3. Flow Parameters: The 
main_flow
accepts the 
.env
file path and 
command_params
as parameters to dynamically manage configuration. This allows you to specify and use different 
.env
files dynamically, based on the input flag you provide when running the flow.
d
@Marvin when running: prefect deployment run 'pull-and-run-image/train_flow' --params "$json_payload" if there are multiple --params I need to pass to the prefect deployment how can I do that? is it like: prefect deployment run 'pull-and-run-image/train_flow' --params "$json_payload" --params "$second_json" or prefect deployment run 'pull-and-run-image/train_flow' --params "$json_payload", "$second_json"
m
When running a Prefect deployment with multiple parameters using the CLI, you should combine all the parameters into a single JSON object. Prefect does not support specifying multiple 
--params
flags; instead, you should use a single 
--params
flag with all necessary parameters included in one JSON object. Here's how you can do it: 1. Combine Parameters into a Single JSON Object:
Copy code
json
    {
      "param1": "value1",
      "param2": "value2",
      "command_params": "your-command-parameters",
      "env_file_path": "/app/.env"
    }
2. Pass the Combined JSON Object to the 
prefect deployment run
Command:
Copy code
sh
    prefect deployment run 'pull-and-run-image/train_flow' --params '{"param1": "value1", "param2": "value2", "command_params": "your-command-parameters", "env_file_path": "/app/.env"}'
### Example for Combining Parameters Here's an example of how you might combine multiple parameters and pass them to the Prefect deployment:
Copy code
sh
# Example JSON payload
json_payload='
{
  "param1": "value1",
  "param2": "value2",
  "command_params": "your-command-parameters",
  "env_file_path": "/app/.env"
}'

# Run Prefect deployment with combined parameters
prefect deployment run 'pull-and-run-image/train_flow' --params "$json_payload"
By combining all parameters into a single JSON object, you can ensure that the deployment script receives and uses all the specified parameters correctly. For more details, you can refer to the Prefect documentation on parameters usage here.
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