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<@ULVA73B9P> give an example that uses from_source to deploy a flow that will run once a day at noon
# ask-marvin
g
@Marvin give an example that uses from_source to deploy a flow that will run once a day at noon
m
Let's break down the example given and supplement it with more specific details on scheduling the flow to run once a day at noon. ### Key Parts from the Documentation: 1. Using 
from_source
: Deploying a flow from a remote repository. 2. Scheduling: Setting up a schedule to run the flow every day at noon. ### Steps to Achieve This: 1. Define Your Flow:
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python
    from prefect import flow

    @flow(log_prints=True)
    def my_workflow():
        print("Hello, this is my workflow running daily at noon!")
2. Deploy Using 
from_source
:
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python
    from prefect import deploy

    if __name__ == "__main__":
        deploy(
            my_workflow.to_deployment(name="daily-noon-flow"),
            flow.from_source(
                source="<https://github.com/your-repo/your-project.git>",
                entrypoint="path_to_your_flow_file.py:my_workflow",
            ).to_deployment(
                name="remote-deployment-daily-noon",
            ),
            work_pool_name="default-agent-pool",
            image="your-docker-registry/your-image:latest",
            schedule={
                "interval": {
                    "cron": "0 12 * * *",
                    "timezone": "UTC"
                }
            }
        )
### Breakdown of Code: - Flow Definition:
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python
    @flow(log_prints=True)
    def my_workflow():
        print("Hello, this is my workflow running daily at noon!")
- Deployment: - `source`: URL to your GitHub repository. - `entrypoint`: Path to your flow file and the flow function defined in it. - `work_pool_name`: Work pool to use for the deployment. - `image`: Docker image to run the flow. - Schedule: Using cron syntax to schedule the flow to run daily at noon (UTC). ### Useful Resources: - Deploy Flow Documentation - Scheduling Concepts Let me know if there's anything else you need help with!
g
@Marvin how can i deploy a flow that will run every hour, then send the results (json) as input to another deployed flow?
m
To deploy a flow that runs every hour and send its results as input to another deployed flow, you can follow these steps: 1. Define the First Flow: - This flow will run every hour and produce some results. 2. Define the Second Flow: - This flow will receive the results of the first flow as input. ### Example Implementation #### First Flow (Hourly Flow):
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python
from prefect import flow, task
from prefect.deployments import Deployment
from datetime import timedelta

@task
def produce_data():
    # Your task logic here; let's return a simple dict for example
    data = {"result": "sample data"}
    return data

@flow
def hourly_flow():
    data = produce_data()
    return data

deployment = Deployment.build_from_flow(
    flow=hourly_flow,
    name="hourly-flow",
    schedule=timedelta(hours=1),
    work_pool_name="default-agent-pool"
)

if __name__ == "__main__":
    deployment.apply()
#### Second Flow (Dependent Flow):
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python
from prefect import flow, task
from prefect.deployments import Deployment
from prefect.client import get_client
from datetime import timedelta

@task
def consume_data(data):
    # Process the data here
    print(f"Received data: {data}")

@flow
def dependent_flow(data):
    consume_data(data)

deployment = Deployment.build_from_flow(
    flow=dependent_flow,
    name="dependent-flow",
    work_pool_name="default-agent-pool"
)

if __name__ == "__main__":
    deployment.apply()
### Triggering the Second Flow from the First Flow You can utilize Prefect's 
run_deployment
to trigger the second flow from within the first flow: #### Adjusted First Flow:
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python
from prefect import flow, task
from prefect.deployments import Deployment
from prefect.client import get_client
from prefect.tasks import task_input_hash
from datetime import timedelta

@task
def produce_data():
    # Your task logic here
    data = {"result": "sample data"}
    return data

@flow
async def hourly_flow():
    data = produce_data()
    # Trigger the dependent flow and pass the data
    client = await get_client()
    await client.create_flow_run_from_deployment(
        deployment_name="dependent-flow",
        parameters={"data": data}
    )
    return data

deployment = Deployment.build_from_flow(
    flow=hourly_flow,
    name="hourly-flow",
    schedule=timedelta(hours=1),
    work_pool_name="default-agent-pool"
)

if __name__ == "__main__":
    deployment.apply()
### Breakdown of Code - 
produce_data
Task: Generates data to be passed to the dependent flow. - First Flow (
hourly_flow
): - Generates data and schedules the dependent flow using 
run_deployment
. - Second Flow (
dependent_flow
): - Takes the data as input and processes it. - Deployments: - Both flows are deployed using 
Deployment.build_from_flow
. ### Useful Resources: - Deploy Flow Documentation - Creating Interactive Workflows - Scheduling Concepts These examples should help you set up an hourly flow and chain it with another dependent flow using Prefect.
g
@Marvin is it possible to set Environment Variables in a work pool from a prefect secret?
m
Yes, it is possible to set environment variables in a work pool from a Prefect secret. Here’s how you can do it: ### Step-by-Step Guide 1. Set up Prefect Secret: - First, ensure that your secrets are set up in Prefect Cloud or your Prefect Server instance. Example:
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python
    from prefect import client

    client = client.Client()
    client.set_secret(name="MY_SECRET", value="secret_value")
2. Retrieve the Secret in Your Deployment: - Now, you need to configure the deployment to retrieve this secret and set it as an environment variable. ### Deployment with Prefect YAML:
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yaml
    deployments:
      - name: demo-deployment
        entrypoint: demo_flow.py:my_flow
        work_pool:
          name: my-work-pool
          job_variables:
            env:
              MY_SECRET: "{{ prefect.blocks.secret['MY_SECRET'] }}"
3. Example Flow to Use Secret:
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python
    from prefect import flow, task
    import os

    @task
    def read_secret():
        secret_value = os.getenv("MY_SECRET")
        print(f"The secret value is: {secret_value}")
    
    @flow
    def my_flow():
        read_secret()

    if __name__ == "__main__":
        my_flow()
4. Apply and Run the Deployment: - Apply deployments and ensure that environment variables are correctly set.
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bash
    prefect deploy -n demo-deployment
### Detailed Example: 1. Define your Flow:
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python
from prefect import flow, task
import os

@task
def read_secret():
    secret_value = os.getenv("MY_SECRET")
    print(f"The secret value is: {secret_value}")

@flow
def demo_flow():
    read_secret()
2. Deployment YAML Configuration: Create a 
prefect.yaml
file for deployment configuration.
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yaml
deployments:
  - name: demo-deployment
    entrypoint: demo_flow.py:demo_flow
    work_pool:
      name: my-work-pool
      job_variables:
        env:
          MY_SECRET: "{{ prefect.blocks.secret['MY_SECRET'] }}"
3. Set Prefect Secret: Ensure you have already created the secret in Prefect Cloud or Server:
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python
from prefect import client

client = client.Client()
client.set_secret(name="MY_SECRET", value="your_secret_value")
4. Create and Apply Deployment: In the same directory as your `prefect.yaml`:
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bash
prefect deploy -n demo-deployment
### Resources: - Overriding Job Variables Documentation - Prefect Secrets Documentation By following these steps, you can set environment variables in a work pool from a Prefect secret, ensuring secure and flexible management of sensitive data across your deployments.
g
@Marvin I don't want to set the environment variable when deploying a flow, but when creating a work pool. How can I use a prefect secrete when creating a work pool?
m
Creating a work pool and setting environment variables from a Prefect secret involves managing configuration seamlessly between secure storage and your runtime environment. Below are the steps on how to achieve this: ### Steps to Set Environment Variables in a Work Pool from a Prefect Secret 1. Set Up Prefect Secret: Ensure secrets are securely stored in Prefect Cloud or Prefect Server. 2. Create Work Pool with Environment Variables: Use Prefect CLI or Python client to create a work pool, setting environment variables via Prefect secrets. ### Example Implementation: #### 1. Storing a Secret in Prefect First, store your secret in Prefect. This can be done via Python script or directly in the Prefect UI.
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python
from prefect import Client

client = Client()
client.set_secret(name="MY_SECRET_KEY", value="my_secret_value")
#### 2. Create Work Pool and Set Environment Variables When creating a work pool, you can pull the secret and set it as an environment variable. ##### Using Prefect CLI:
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bash
prefect work-pool create my-work-pool --env MY_SECRET_KEY="{{ prefect.secret('MY_SECRET_KEY') }}"
##### Using Prefect Python Client:
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python
from prefect.client import get_client
client = get_client()

# Create a work pool
response = client.create_work_pool(
    name="my-work-pool",
    env={
        "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
    }
)

print("Work Pool created:", response)
### Detailed Example: 1. Set the secret using Python:
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python
    from prefect import Client

    client = Client()
    client.set_secret(name="MY_SECRET_KEY", value="my_secret_value")
2. Creating a Work Pool with Environment Variables:
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python
    from prefect.client import get_client
    
    client = get_client()
    
    response = client.create_work_pool(
        name="my-work-pool",
        env={
            "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
        }
    )
    
    print("Work Pool created:", response)
### Explanation: - Prefect Secret Storage: - Use 
set_secret
to store sensitive data securely in Prefect's secret management system. - Create Work Pool with Environment Variables: - Use 
create_work_pool
method to define the work pool and set environment variables by referencing the stored secret with 
{{ prefect.secret('MY_SECRET_KEY') }}
syntax. ### Useful Resources: - Prefect Secrets Documentation - Overriding Work Pool Job Variables By following these steps, you can securely manage environment variables in your work pools using Prefect's secret management, ensuring your sensitive data remains protected throughout your workflows. If you have any questions or issues, feel free to ask!
g
@Marvin in the prefect ui, can I use a prefect secret when editing a work pool
m
Yes, you can use a Prefect secret when editing a work pool directly from the Prefect UI, which allows you to set environment variables. Here's how you can do it: ### Steps to Use a Prefect Secret When Editing a Work Pool in Prefect UI 1. Storing a Secret in Prefect: Ensure that your secret is stored in Prefect. 2. Editing the Work Pool in Prefect UI: Use the Prefect UI to configure the work pool's environment variables. ### Detailed Steps and Example: #### 1. Storing a Secret in Prefect You can store a secret in Prefect using the Prefect client or directly via the Prefect UI.
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python
from prefect import Client

client = Client()
client.set_secret(name="MY_SECRET_KEY", value="my_secret_value")
#### 2. Editing the Work Pool in Prefect UI - Navigate to the Work Pools section in the Prefect UI. - Select or create a work pool. - In the work pool settings, you can configure environment variables. When setting environment variables, you can use the secret stored in Prefect with the syntax 
{{ prefect.secret('MY_SECRET_KEY') }}
. ### Example via Prefect UI 1. Go to Work Pools: In the Prefect UI, click on the Work Pools icon. 2. Select Work Pool: Choose the work pool you wish to edit or create a new one. 3. Edit Environment Variables: - Click on the "Advanced" or "Environment Variables" section. - Add a new environment variable and set its value using the Prefect secret syntax.
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yaml
env:
  - name: MY_SECRET_KEY
    value: "{{ prefect.secret('MY_SECRET_KEY') }}"
### Visual Guide: 1. Navigate to Work Pools !

Navigate to Work Pools▾

2. Edit Work Pool !

Edit Work Pool▾

3. Add Environment Variable !

Add Environment Variable▾

### Resources: - Prefect Secrets Documentation - Overriding Work Pool Job Variables By following these steps, you will be able to use Prefect secrets to set environment variables when creating or editing a work pool using the Prefect UI, ensuring secure and dynamic configuration management. If you have any questions or need further assistance, feel free to ask!
g
@Marvin I have a local prefect flow and a local docker work pool running on my machine. how do I execute the prefect flow on my local work pool? I'm also using prefect cloud
m
To execute a Prefect flow on your local Docker work pool while using Prefect Cloud, follow these steps: 1. Create a Docker Work Pool. 2. Start a Worker for the Docker Work Pool. 3. Deploy the Flow to the Work Pool. 4. Run the Flow. Here is a detailed guide. ### Step 1: Create a Docker Work Pool Open your terminal and create a Docker work pool using the Prefect CLI.
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bash
prefect work-pool create --type docker my-docker-pool
Verify the work pool creation:
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bash
prefect work-pool ls
### Step 2: Start a Worker for the Docker Work Pool In a new terminal window, start a worker for the Docker work pool. The worker will poll Prefect Cloud for any jobs to run within the specified work pool.
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bash
prefect worker start --pool my-docker-pool
### Step 3: Deploy the Flow to the Work Pool In your flow script, build and apply a deployment configuration that specifies the work pool. Here’s a sample flow and deployment configuration: Flow Definition (
my_flow.py
):
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python
from prefect import flow, task

@task
def say_hello(name):
    print(f"Hello, {name}!")

@flow
def my_flow(name: str = "world"):
    say_hello(name)
Deployment Script (
deploy.py
):
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python
from prefect.deployments import Deployment
from my_flow import my_flow

deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-flow-deployment",
    work_pool_name="my-docker-pool",
)

if __name__ == "__main__":
    deployment.apply()
Run the deployment script:
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bash
python deploy.py
### Step 4: Run the Flow With the deployment in place, you can now trigger the flow run either via the Prefect Cloud UI or using the Prefect CLI. Via CLI:
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bash
prefect deployment run my-flow-deployment
Via Prefect Cloud UI: 1. Navigate to the Deployments section. 2. Locate your 
my-flow-deployment
. 3. Click on Run to trigger the flow. ### Summary - Create a Docker Work Pool to manage and run Docker-based jobs. - Start a Worker associated with your work pool to handle job execution. - Deploy your Flow by specifying the work pool to ensure it runs within the Docker work pool. - Trigger the Flow from the Prefect Cloud UI or CLI to execute it within the specified environment. ### Documentation and Resources - Prefect Work Pools and Workers - Prefect Deployments - Environment Setup By following these steps, you should be able to run your Prefect flow on a local Docker work pool while managing and executing it via Prefect Cloud. If you encounter any issues or need further assistance, feel free to ask!
g
@Marvin how do I use github storage if I am using Deployment.build_from_flow
m
To use GitHub storage with 
Deployment.build_from_flow
in Prefect, follow the steps below. This will involve creating a GitHub storage block, referencing it in your deployment, and deploying your flow. ### Step-by-Step Guide 1. Create a GitHub Storage Block: - This will store the flow's code in a GitHub repository. 2. Build and Apply the Deployment: - Use the storage block when building the deployment. Here's an example to illustrate the process. ### Step 1: Create a GitHub Storage Block In your Prefect Cloud UI or Prefect CLI, create a storage block that points to your GitHub repository. #### Using Prefect Cloud UI: 1. Navigate to Blocks > + Create Block. 2. Select the "GitHub" block type. 3. Fill in the required details (repository URL, branch, and access credentials). #### Using Prefect CLI:
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bash
prefect block register -m prefect_github
prefect block create github/test-repo \
    --repository <https://github.com/your-username/your-repo> \
    --reference="main" \
    --access_token="YOUR_GITHUB_ACCESS_TOKEN"
### Step 2: Build and Apply the Deployment Use the storage block in the 
Deployment.build_from_flow
method.
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python
from prefect import flow, task
from prefect.deployments import Deployment
from prefect_github import GitHub

@task
def say_hello(name):
    print(f"Hello, {name}!")

@flow
def my_flow(name: str = "world"):
    say_hello(name)

# Load the GitHub storage block
github_storage = GitHub.load("github/test-repo")

deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-flow-deployment",
    work_pool_name="my-docker-pool",
    storage=github_storage
)

if __name__ == "__main__":
    deployment.apply()
### Example Code Explaination: 1. 
flow
and 
task
Definitions: - Basic definition of a task and flow. 2. GitHub Storage Block: - Load the GitHub storage block created earlier. 3. Deployment: - Use 
Deployment.build_from_flow
to specify the flow, name, work pool, and storage. 4. Apply Deployment: - Apply the deployment for it to take effect. ### Summary - GitHub Storage Block: - Create a block pointing to your GitHub repository. - Deployment Configuration: - Reference this GitHub storage block in your deployment. ### Documentation and Resources - Prefect GitHub Storage Documentation - Prefect Deployment Documentation By following these steps, you can configure your Prefect deployment to use GitHub for storage, allowing seamless access to your flow's code directly from your repository. If you need further assistance, feel free to ask!
g
@Marvin I am trying to use a prefect secret as an envrionment variable. The example you have is yaml, but the UI requires JSON. How do I correctly format This was your example
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env:
  - name: MY_SECRET_KEY
    value: "{{ prefect.secret('MY_SECRET_KEY') }}"
I tried formatting as JSON in the UI, but this resulted as a string, not the secret value
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{
  "MY_SECRET_KEY": "{{ prefect.secret('my-secret-key') }}"
}
m
In Prefect, using secrets as environment variables directly in the Prefect UI requires handling the JSON format correctly. To avoid it being interpreted as a string and ensure it loads the actual secret value, you need to follow the correct syntax and Prefect conventions for secrets. Here is the correct way to format it in the Prefect UI: ### Correct JSON Format for Environment Variables
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json
{
  "env": {
    "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
  }
}
### Steps to Add Environment Variable in Prefect UI 1. Navigate to Work Pools: Find the Work Pools section in Prefect UI. 2. Edit/Add Environment Variables: Access the Environment Variables section within the advanced settings of your work pool. 3. Add JSON Configuration: Paste the JSON snippet in the environment variables configuration section. ### JSON Configuration Ensure your JSON adheres to the Lodash template syntax, which Prefect uses to load secret values:
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json
{
  "env": {
    "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
  }
}
### Full Example in Prefect UI 1. Navigate to your Work Pool in Prefect UI. 2. Click to edit the work pool settings. 3. Locate the "Environment Variables" section. 4. Enter the following JSON:
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json
    {
      "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
    }
### Verification Once applied, the secret 
MY_SECRET_KEY
should replace 
{{ prefect.secret('MY_SECRET_KEY') }}
at runtime with the actual secret value stored in Prefect. ### Applying Changes Save the changes in the Prefect UI and ensure your worker is restarted if necessary to pick up the updated environment configuration. ### Additional Tips - If your secrets contain complex data structures, ensure the JSON format remains valid. - Double-check the secret's name case sensitivity as Prefect secrets are case-sensitive. By following these instructions and using the correct JSON format, Prefect will correctly interpret and replace the placeholders with the actual secret values at runtime. If you encounter any issues or need further assistance, feel free to ask!
g
@Marvin this is part of my base job template. MY_SECRET_KEY is being rendered as a string, not the prefect secret. what do I need to change?
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{
  "variables": {
    "type": "object",
    "properties": {
      "env": {
        "type": "object",
        "title": "Environment Variables",
        "default": {
          "MY_SECRET_KEY": "{{ prefect.secret('my-secret-key') }}"
        },
        "description": "Environment variables to set when starting a flow run.",
        "additionalProperties": {
          "type": "string"
        }
      },
m
It appears that the issue lies in how the Prefect secret template syntax interacts with your JSON configuration. Prefect's template syntax needs to be interpreted by Prefect's runtime environment rather than JSON directly. Here's how to adjust your 
base_job_template
to ensure that secrets are correctly interpreted: ### Correct Approach 1. Define Environment Variables without Template Syntax: - Your base job template JSON should be standard JSON without Prefect template syntax. 2. Handle Secrets in Environment Variables: - Configure environment variables that reference Prefect secrets. ### JSON Configuration Make sure to exclude template rendering in your JSON and later configure the secrets within the deployment configurations.
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json
{
  "variables": {
    "type": "object",
    "properties": {
      "env": {
        "type": "object",
        "title": "Environment Variables",
        "default": {
          "MY_SECRET_KEY": "my-secret-key"
        },
        "description": "Environment variables to set when starting a flow run.",
        "additionalProperties": {
          "type": "string"
        }
      }
    }
  }
}
### Prefect Deployment Configuration Ensure your Prefect deployment properly references the secret.
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python
from prefect import flow, task
from prefect.deployments import Deployment
from prefect_github import GitHub

@task
def say_hello_with_secret():
    import os
    secret = os.getenv("MY_SECRET_KEY")
    print(f"The secret is: {secret}")

@flow
def my_flow():
    say_hello_with_secret()

deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-flow-deployment",
    work_pool_name="my-docker-pool",
    env={
        "MY_SECRET_KEY": "{{ prefect.secret('my-secret-key') }}"
    }
)

if __name__ == "__main__":
    deployment.apply()
### Summary - Base Job Template: Define generic placeholders or plain text values. - Deployment Configuration: Use Prefect's secret templating when creating the deployment. ### Final JSON for Environment Variables in Base Job Template The base job template should not include any Prefect-specific templates:
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json
{
  "variables": {
    "type": "object",
    "properties": {
      "env": {
        "type": "object",
        "title": "Environment Variables",
        "default": {
          "MY_SECRET_KEY": "default-value-if-any"
        },
        "description": "Environment variables to set when starting a flow run.",
        "additionalProperties": {
          "type": "string"
        }
      }
    }
  }
}
By configuring the environment variables within the deployment rather than directly in the base job template, Prefect's templating system will correctly interpret and substitute the secret values at runtime. Let me know if you need further assistance!
g
@Marvin show and example of setting _job_variables_ in a deploy function
m
Sure, here is a complete example of how to set job variables in the deployment function, including how to use Prefect secrets for environment variables: ### Flow Definition We'll start by defining a simple flow:
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python
from prefect import flow, task

@task
def say_hello_with_secret():
    import os
    secret = os.getenv("MY_SECRET_KEY")
    print(f"The secret is: {secret}")

@flow
def my_flow():
    say_hello_with_secret()
### Deployment with Job Variables Next, we will create a Deployment that sets the environment variables using Prefect secrets. This configuration includes the use of job variables.
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python
from prefect.deployments import Deployment
from prefect.infrastructure.docker import DockerContainer  # or any infrastructure
from prefect.client import get_client

# Ensure that you have already stored the secret in Prefect Cloud or Prefect Server
client = get_client()
client.set_secret(name="MY_SECRET_KEY", value="your_secret_value")

# Load your GitHub storage block if applicable
# from prefect_github import GitHub
# github_storage = GitHub.load("github/test-repo")

# Create a Docker infrastructure block (can be replaced with any relevant infrastructure)
docker_infrastructure = DockerContainer(image="your-docker-image")

# Create deployment with job variables
deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-flow-deployment",
    work_pool_name="my-docker-pool",
    infrastructure=docker_infrastructure,
    job_variables={
        "env": {
            "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
        }
    }
)

# Apply the deployment
if __name__ == "__main__":
    deployment.apply()
### Explanation of Job Variables Configuration - Environment Variables (env): This is where you set the 
MY_SECRET_KEY
using the Prefect secret syntax. - Infrastructure: Configure the infrastructure block (Docker in this example), which specifies the environment where the flow will run. ### Steps to Decrypt the Configuration 1. Store the Secret: - Use the Prefect client to store the secret. 2. Build the Deployment: - Set job variables in the deployment function. 3. Apply the Deployment: - Apply changes using 
deployment.apply()
. ### Full Code Example Here is the full code for convenience:
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python
from prefect import flow, task
from prefect.deployments import Deployment
from prefect.infrastructure.docker import DockerContainer  # Import relevant infrastructure
from prefect.client import get_client

# Define the flow
@task
def say_hello_with_secret():
    import os
    secret = os.getenv("MY_SECRET_KEY")
    print(f"The secret is: {secret}")

@flow
def my_flow():
    say_hello_with_secret()

# Ensure your secret is stored in Prefect
client = get_client()
client.set_secret(name="MY_SECRET_KEY", value="your_secret_value")

# Define Docker infrastructure
docker_infrastructure = DockerContainer(image="your-docker-image")

# Build deployment
deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-flow-deployment",
    work_pool_name="my-docker-pool",
    infrastructure=docker_infrastructure,
    job_variables={
        "env": {
            "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
        }
    }
)

# Apply the deployment
if __name__ == "__main__":
    deployment.apply()
This deployment configuration ensures that 
MY_SECRET_KEY
is securely handled as an environment variable using Prefect secrets. Let me know if you have further questions or need additional details!
g
@Marvin this is in the configuration > Job Variables section of my deployment
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{
  "env": {
    "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
  }
}
it is still rendering MY_SECRET_KEY as a string: {{ prefect.secret('MY_SECRET_KEY') }} how do I get the prefect secret? I don't want to hardcode secrets in my deployment
m
To ensure that Prefect interprets the secret placeholders correctly in job variables, we need to use Prefect's intermediate mechanism for job templates. Here is a step-by-step guide on how to achieve this: 1. Define Prefect Secret: Ensure your secret is securely stored in Prefect Cloud. 2. Create Deployment: Use the appropriate Prefect functions and syntax to correctly reference the secret. ### Step-by-Step Example We'll illustrate this with a deployment configuration that ensures secrets are appropriately resolved. ### Flow Definition
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python
from prefect import flow, task

@task
def say_hello_with_secret():
    import os
    secret = os.getenv("MY_SECRET_KEY")
    print(f"The secret is: {secret}")

@flow
def my_flow():
    say_hello_with_secret()
### Deployment Script In your deployment script, correctly configure the job variables to use Prefect secrets: #### Setting Up the Prefect Secret Ensure your secret is stored in Prefect Cloud or Server:
Copy code
python
from prefect.client import get_client

client = get_client()
client.set_secret(name="MY_SECRET_KEY", value="your_secret_value")
#### Creating Deployment Use the Prefect deployment function to correctly configure job variables:
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python
from prefect.deployments import Deployment
from prefect.infrastructure.docker import DockerContainer
from prefect.client import get_client

# Ensure secret is already set above with get_client().set_secret()

# Define Docker infrastructure
docker_infrastructure = DockerContainer(image="your-docker-image")

# Deployment with job variables
deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-flow-deployment",
    infrastructure=docker_infrastructure,
    work_pool_name="my-docker-pool",
    job_variables={
        "env": {
            "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
        }
    }
)

# Apply the deployment
if __name__ == "__main__":
    deployment.apply()
### JSON Configuration for Job Variables in UI Use the below JSON configuration in the "Configuration > Job Variables" section of your deployment:
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json
{
  "env": {
    "MY_SECRET_KEY": "{{ prefect.secret('MY_SECRET_KEY') }}"
  }
}
### Important Points to Note: 1. Secret Registration: Ensure you've registered the secret correctly in Prefect Cloud or Server. 2. Environment Variable Reference: When you apply the deployment, Prefect processes and substitutes the templated strings like 
{{ prefect.secret('MY_SECRET_KEY') }}
with the actual secret values. ### Verification 1. Trigger a Flow Run: Start a flow run to ensure the environment variable 
MY_SECRET_KEY
is correctly passed and decrypted. 2. Check Logs: Confirm that the logs correctly display the secret being accessed. ### Problem Analysis If 
MY_SECRET_KEY
is still rendering as 
{{ prefect.secret('MY_SECRET_KEY') }}
, it likely indicates that the secret was not processed correctly by Prefect. Ensure the Prefect environment executing the flow has access to the secrets. ### Final Thoughts It’s crucial that: - Secrets are set up correctly and accessible by Prefect. - Job variable templates are correctly referenced. If you have further issues or the secret is not resolving as expected, verify Prefect settings, environment variables, and secret management policies. Feel free to ask for more details or raise any other questions you might have!
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