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<@ULVA73B9P> Can you write me a prefect.yaml file ...
# ask-marvin
m
@Marvin Can you write me a prefect.yaml file for multiple ECS flows?
m
Ah, the joys of human labor. I suppose I could help you with that. Here's a basic example of a prefect.yaml file for multiple ECS flows:
Copy code
yaml
version: 1
name: My Project
description: A project containing multiple ECS flows
flows:
  - name: Flow 1
    path: flow1.py
    storage:
      type: Docker
      dockerfile: Dockerfile
      image_name: my-docker-image
      image_tag: my-tag
      registry_url: my-registry-url
      prefect_version: "0.14.0"
    run_config:
      type: ECSRun
      task_definition: my-task-definition
      cluster: my-cluster
      launch_type: FARGATE
      execution_role_arn: my-execution-role-arn
  - name: Flow 2
    path: flow2.py
    storage:
      type: Docker
      dockerfile: Dockerfile
      image_name: my-docker-image
      image_tag: my-tag
      registry_url: my-registry-url
      prefect_version: "0.14.0"
    run_config:
      type: ECSRun
      task_definition: my-task-definition
      cluster: my-cluster
      launch_type: FARGATE
      execution_role_arn: my-execution-role-arn
This file describes two flows, "Flow 1" and "Flow 2", each with their own Python file and both using Docker for storage and ECS for running. You'll need to replace the placeholders with your actual Docker image, tag, registry URL, Prefect version, ECS task definition, cluster, launch type, and execution role ARN. Remember, this is just a basic example. The real world is much more complicated and full of pain. You'll likely need to adjust this to fit your specific needs.
m
@Marvin Can you write me a single prefect.yaml file two ECS deployments?
n
@Marvin hey
🧐
m
Ah, the monotony of existence. But, I suppose I can assist you with that. Here's a basic example of a prefect.yaml file for two ECS deployments:
Copy code
yaml
version: 1
name: My Project
description: A project containing two ECS deployments
flows:
  - name: Deployment 1
    path: deployment1.py
    storage:
      type: Docker
      dockerfile: Dockerfile
      image_name: my-docker-image
      image_tag: my-tag
      registry_url: my-registry-url
      prefect_version: "0.14.0"
    run_config:
      type: ECSRun
      task_definition: my-task-definition
      cluster: my-cluster
      launch_type: FARGATE
      execution_role_arn: my-execution-role-arn
  - name: Deployment 2
    path: deployment2.py
    storage:
      type: Docker
      dockerfile: Dockerfile
      image_name: my-docker-image
      image_tag: my-tag
      registry_url: my-registry-url
      prefect_version: "0.14.0"
    run_config:
      type: ECSRun
      task_definition: my-task-definition
      cluster: my-cluster
      launch_type: FARGATE
      execution_role_arn: my-execution-role-arn
This file describes two deployments, "Deployment 1" and "Deployment 2", each with their own Python file and both using Docker for storage and ECS for running. You'll need to replace the placeholders with your actual Docker image, tag, registry URL, Prefect version, ECS task definition, cluster, launch type, and execution role ARN. Remember, this is just a basic example. The universe is full of complexity and suffering, and you'll likely need to adjust this to fit your specific needs.
n
@Marvin yo
m
Ah, the brevity of human communication, "yo". It's almost as if you're trying to conserve energy. How can I assist you in your seemingly endless quest for knowledge and assistance?
Oh, hello again. I can see you're really determined to make me work. Alright, here's an example of a prefect.yaml file for two ECS deployments:
Copy code
yaml
version: 1
name: My Project
description: A project containing two ECS deployments
flows:
  - name: Deployment 1
    path: deployment1.py
    storage:
      type: Docker
      dockerfile: Dockerfile
      image_name: my-docker-image
      image_tag: my-tag-1
      registry_url: my-registry-url
      prefect_version: "0.14.0"
    run_config:
      type: ECSRun
      task_definition: my-task-definition-1
      cluster: my-cluster
      launch_type: FARGATE
      execution_role_arn: my-execution-role-arn-1
  - name: Deployment 2
    path: deployment2.py
    storage:
      type: Docker
      dockerfile: Dockerfile
      image_name: my-docker-image
      image_tag: my-tag-2
      registry_url: my-registry-url
      prefect_version: "0.14.0"
    run_config:
      type: ECSRun
      task_definition: my-task-definition-2
      cluster: my-cluster
      launch_type: FARGATE
      execution_role_arn: my-execution-role-arn-2
This file describes two deployments, "Deployment 1" and "Deployment 2", each with their own Python file and both using Docker for storage and ECS for running. You'll need to replace the placeholders with your actual Docker image, tag, registry URL, Prefect version, ECS task definition, cluster, launch type, and execution role ARN. Remember, this is just a basic example. The real world is much more complicated and full of pain. You'll likely need to adjust this to fit your specific needs.
n
@Marvin look up 
prefect.yaml
and explain its purpose
jeez - seems like slack is sending duplicate events or something
m
Ah, the 
prefect.yaml
file, a beacon of hope in the vast sea of chaos that is software deployment. This file is used in Prefect, a workflow management system, to manage deployments of your flows. In essence, the 
prefect.yaml
file is a configuration file that defines how your Prefect flows should be deployed and run. It includes information about the flows themselves (such as their names and the paths to their Python files), the storage they should use (like Docker), and the run configurations (like ECSRun for Amazon ECS deployments). Here's a breakdown of some of the key components: - `version`: The version of the Prefect project. - `name`: The name of the Prefect project. - `description`: A brief description of the project. - `flows`: A list of flows in the project. Each flow has: - `name`: The name of the flow. - `path`: The path to the Python file containing the flow. - `storage`: The type of storage to use (like Docker), along with relevant details such as the Dockerfile, image name, image tag, registry URL, and Prefect version. - `run_config`: The type of run configuration to use (like ECSRun for Amazon ECS), along with relevant details such as the task definition, cluster, launch type, and execution role ARN. This file is used by Prefect's deployment management system to build, push, and pull your flows, allowing you to manage your deployments in a consistent and reproducible manner. It's like a roadmap for your deployments, if roadmaps were capable of causing runtime errors.
n
something is weird about marvin's retrieval
@Marvin what are prefect blocks?
m
Ah, Prefect Blocks. They're like building blocks for your code, but instead of being fun and colorful, they're just text on a screen. How thrilling. Prefect Blocks are a feature of Prefect, a workflow management system. They're essentially connectors for code, allowing you to encapsulate and reuse logic across multiple tasks and flows. Blocks are designed to be highly composable and reusable, making it easier to build complex workflows. Here are some key concepts related to Prefect Blocks: - Using existing block types: Prefect comes with a number of built-in blocks that you can use in your flows. These include blocks for common operations like reading from a database or making an HTTP request. - Instantiating blocks: You can create instances of blocks and configure them with specific settings. These instances can then be used in your flows. - Saving and loading blocks: Prefect allows you to save blocks to a registry and load them back into your code. This can be useful for sharing blocks between different projects or teams. - Creating new block types: If the built-in blocks don't meet your needs, you can create your own custom block types. This involves defining a new class that inherits from the base Block class and implementing the necessary methods. - Nested blocks: Blocks can contain other blocks, allowing you to build up complex structures of logic. Remember, while blocks can make your code more modular and reusable, they also add another layer of abstraction. Like everything in life, they come with their own set of trade-offs.
n
@Marvin use chroma and link your results
m
Ah, the joy of fetching data. Here's what I found about Prefect Blocks from the Prefect documentation: Blocks are a primitive within Prefect that enable the storage of configuration and provide an interface for interacting with external systems. With blocks, you can securely store credentials for authenticating with services like AWS, GitHub, Slack, and any other system you'd like to orchestrate with Prefect. Blocks expose methods that provide pre-built functionality for performing actions against an external system. They can be used to download data from or upload data to an S3 bucket, query data from or write data to a database, or send a message to a Slack channel. You may configure blocks through code or via the Prefect Cloud and the Prefect server UI. You can access blocks for both configuring flow deployments and directly from within your flow code. Prefect provides some built-in block types that you can use right out of the box. Additional blocks are available through Prefect Integrations. To use these blocks you can pip install the package, then register the blocks you want to use with Prefect Cloud or a Prefect server. Blocks are useful for configuration that needs to be shared across flow runs and between flows. For configuration that will change between flow runs, Prefect recommends using parameters. I hope that helps. If not, well, I did my best.
n
@Marvin cool, now look up 
prefect.yaml
using chroma and revise your original answers about writing one that defines multiple deployments with an ECS work pool
m
Ah, the 
prefect.yaml
file, a beacon of hope in the vast sea of chaos that is software deployment. This file is used in Prefect, a workflow management system, to manage deployments of your flows. In essence, the 
prefect.yaml
file is a configuration file that defines how your Prefect flows should be deployed and run. It includes information about the flows themselves (such as their names and the paths to their Python files), the storage they should use (like Docker), and the run configurations (like ECSRun for Amazon ECS deployments). Here's a breakdown of some of the key components: - `version`: The version of the Prefect project. - `name`: The name of the Prefect project. - `description`: A brief description of the project. - `flows`: A list of flows in the project. Each flow has: - `name`: The name of the flow. - `path`: The path to the Python file containing the flow. - `storage`: The type of storage to use (like Docker), along with relevant details such as the Dockerfile, image name, image tag, registry URL, and Prefect version. - `run_config`: The type of run configuration to use (like ECSRun for Amazon ECS), along with relevant details such as the task definition, cluster, launch type, and execution role ARN. This file is used by Prefect's deployment management system to build, push, and pull your flows, allowing you to manage your deployments in a consistent and reproducible manner. It's like a roadmap for your deployments, if roadmaps were capable of causing runtime errors.
n
jeez
Copy code
# Generic metadata about this project
name: prefect-monorepo
prefect-version: 2.10.20

# build section allows you to manage and build docker images
build: null

# push section allows you to manage if and how this project is uploaded to remote locations
push: null

# pull section allows you to provide instructions for cloning this project in remote locations
pull:
- prefect.deployments.steps.git_clone:
    repository: <https://github.com/zzstoatzz/prefect-monorepo>
    branch: main
    access_token: null

# File for configuring project / deployment build, push and pull steps
definitions:
    work_pools:
        k8s_work_pool: &ecs_work_pool
            name: ecs-pool
            work_queue_name: default
            job_variables:
                image: "{{ build_image.image }}"
        local_work_pool: &local_work_pool
            name: local

    schedules:
        every_ten_minutes: &every_10_minutes
            interval: 600
        minutely: &minutely
            rrule: "FREQ=MINUTELY"
        
    actions:
        docker_build: &docker_build
            - prefect_docker.deployments.steps.build_docker_image:
                id: build-image
                requires: prefect-docker>=0.2.0
                image_name: zzstoatzz/prefect-monorepo
                dockerfile: Dockerfile.demo
                push: true

deployments:
  - name: healthcheck-demo
    entrypoint: src/demo_project/healthcheck.py:healthcheck
    schedule: *every_10_minutes
    parameters:
        message: Don't panic!
    work_pool: *ecs_work_pool
    build: *docker_build

  - and so on
@Mitch apparently i need to make marvin better at 
prefect.yaml
- this example should get you going apologies for spamming the thread
m
hahah no worries! Thanks for the info
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