@Marvin I need help with this worker pool job template config: 1 validation error for DockerWorkerJobConfiguration volumes value is not a valid list (type=type_error.list)

It appears there's an issue retrieving documentation directly. Lovely. Technology is ever so reliable. The error you're encountering indicates that the

volumes

attribute in your DockerWorkerJobConfiguration is expected to be a list, but it isn't. Here are a few things to check: 1. Ensure that

volumes

is defined as a list in your configuration. 2. Each volume in the list should conform to Docker's volume specification:

python
     from prefect.deployments import Deployment
     from prefect.server.schemas.schedules import IntervalSchedule
     from prefect.infrastructure.docker import DockerContainer
     
     infrastructure = DockerContainer(
         image="my-image",
         volumes=["/host/path:/container/path"]
     )
     
     deployment = Deployment(
         name="my-deployment",
         flow=my_flow,
         schedule=IntervalSchedule(interval=timedelta(minutes=5)),
         infrastructure=infrastructure,
     )
     
     deployment.apply()

If your configurations are already correct and you are still encountering this error, it might be a good idea to validate that no extraneous characters or wrong data types slipped into your configuration. If you need the exact syntax or more information, the Prefect documentation will be your best source of truth.

@Marvin my docker compose file has a container configured as follows: prefect-dev-server: image: dijarvrella444/prefect-base:latest environment: - PREFECT_API_URL=http://localhost:4200/api - PREFECT_SERVER_API_HOST=0.0.0.0 - PREFECT_NODE_TYPE=server - BASE_JOB_TEMPLATE_PATH=worker-base-job-template.yaml - WORK_POOL_NAME=seedoo-custom-worker-1 - WORK_POOL_TYPE=docker ports: - "4220-4221:4200-4201" command: | sh -c ' prefect server start && echo "HIIIIIIIIIIIIIII" && prefect work-pool create "seedoo-custom-worker-1" --type "docker" --base-job-template "worker-base-job-template.yaml"' why can't the command run the echo and prefect work-pool create command? It only runs the prefect server start

When running multiple commands in Docker Compose using the

sh -c

approach, each command should be separated by the

&&

operator. However, it seems like you are chaining commands correctly already. Your

command

should work in typical Docker environments. One potential issue could be that the commands after

prefect server start

aren't executed because

prefect server start

might keep running and not return control to the shell for the next command. Instead, you might need to run the

prefect work-pool create

command in the background and then wait for the server to start. Here’s a refined approach:

yaml
  prefect-dev-server:
    image: dijarvrella444/prefect-base:latest
    environment:
      - PREFECT_API_URL=<http://localhost:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_NODE_TYPE=server
      - BASE_JOB_TEMPLATE_PATH=worker-base-job-template.yaml
      - WORK_POOL_NAME=seedoo-custom-worker-1
      - WORK_POOL_TYPE=docker
    ports:
      - "4220-4221:4200-4201"
    command: /bin/sh -c "prefect server start & echo \"HIIIIIIIIIIIIIII\" & prefect work-pool create \"seedoo-custom-worker-1\" --type \"docker\" --base-job-template \"worker-base-job-template.yaml\""

Make sure to use

/bin/sh -c

which is a more common shell, and separate commands with

&

to run them in the background. If this does not resolve your issue, it might help to ensure that the

prefect work-pool create

command is properly formed and that it does not depend on the server start command completing immediately.

@Marvin Try 'prefect work-pool create --help' for help. marvin-prefect-dev-server-1 | ╭─ Error ──────────────────────────────────────────────────────────────────────╮ marvin-prefect-dev-server-1 | │ Invalid value for '--base-job-template': 'worker-base-job-template.yaml': Is │ marvin-prefect-dev-server-1 | │ a directory

The error indicates that

worker-base-job-template.yaml

is being recognized as a directory instead of a file. Here are a few things you can check and correct: 1. Path Verification: Ensure that

worker-base-job-template.yaml

is indeed a file and located in the appropriate directory within the Docker container. 2. Correct Path Usage: If you're using a relative path, it should be relative to the working directory within the Docker container. You might need to specify the full path to the file. 3. File Mounting: Ensure that you have correctly mounted the file into the container if it is not built into the Docker image. Here's an updated approach using absolute paths if applicable: ### Docker Compose Example:

yaml
  prefect-dev-server:
    image: dijarvrella444/prefect-base:latest
    environment:
      - PREFECT_API_URL=<http://localhost:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_NODE_TYPE=server
      - BASE_JOB_TEMPLATE_PATH=/path/to/worker-base-job-template.yaml
      - WORK_POOL_NAME=seedoo-custom-worker-1
      - WORK_POOL_TYPE=docker
    ports:
      - "4220-4221:4200-4201"
    volumes:
      - /absolute/path/on/host/worker-base-job-template.yaml:/path/to/worker-base-job-template.yaml
    command: /bin/sh -c "prefect server start && echo \"HIIIIIIIIIIIIIII\" && prefect work-pool create \"seedoo-custom-worker-1\" --type \"docker\" --base-job-template \"/path/to/worker-base-job-template.yaml\""

### Steps: 1. Update Environment Variables:

BASE_JOB_TEMPLATE_PATH

should reflect the correct path within the container. 2. Mount Volume: Ensure the volume correctly maps the file from the host to the container. 3. Adjust Command: Update the path in the command section according to the container's filesystem. Ensure all paths are accurate and corresponding files exist. You can also verify by running an interactive shell inside your container and executing the path commands step-by-step.

@Marvin looks like you can't create a work-pool and append a base-job-template? you have to first create and than update the work-pool with the job template?

It seems accessing the Prefect documentation and GitHub issues directly isn't being cooperative today. How delightful. However, let me provide guidance based on typical usage. You are correct; sometimes, in configurations, you need to separate actions such as creating a work pool and then updating it with a template. Here's how you can structure your commands: ### Docker Compose Approach: Given that you need to both create and update the work pool, separate these commands clearly in your Docker Compose file.

yaml
  prefect-dev-server:
    image: dijarvrella444/prefect-base:latest
    environment:
      - PREFECT_API_URL=<http://localhost:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_NODE_TYPE=server
      - BASE_JOB_TEMPLATE_PATH=/path/to/worker-base-job-template.yaml
      - WORK_POOL_NAME=seedoo-custom-worker-1
      - WORK_POOL_TYPE=docker
    ports:
      - "4220-4221:4200-4201"
    volumes:
      - /absolute/path/on/host/worker-base-job-template.yaml:/path/to/worker-base-job-template.yaml
    command: >
      /bin/sh -c "prefect server start & 
      echo 'HIIIIIIIIIIIIIII' &&
      prefect work-pool create seedoo-custom-worker-1 --type docker &&
      prefect work-pool update seedoo-custom-worker-1 --base-job-template /path/to/worker-base-job-template.yaml"

### Explanation: 1. Combined Commands: Use

&&

to ensure commands run sequentially. 2. Separate Update: The second command updates the work pool with the template. #### Key Points: 1. File Path: Ensure the

worker-base-job-template.yaml

path is correct and accessible within the container. 2. Volume Mount: Confirm the volume is mounted correctly, reflecting the correct internal path. 3. Sequential Execution: Ensure your updates occur after the server starts and the work pool is created. This way, you sequentially create the work pool and then update it with the job template.

@Marvin in this python script that triggers the last deployment how to specify the prefect server API: from prefect.client.orchestration import get_client from prefect.client.schemas.filters import FlowRunFilter, LogFilter import asyncio async def trigger_deployment(): async with get_client() as client: # Fetch the last deployment deployments = await client.read_deployments() last_deployment = deployments[-1] flow_run = await client.create_flow_run_from_deployment( deployment_id=last_deployment.id ) print(f"Flow Run ID: {flow_run.id}") while True: flow_run_state = (await client.read_flow_run(flow_run.id)).state.name if flow_run_state in {"Completed", "Failed", "Cancelled"}: break print(f"Current state: {flow_run_state}. Waiting to complete...") await asyncio.sleep(10) logs_filter = LogFilter(flow_run_id={"any_": [str(flow_run.id)]}) logs = await client.read_logs(log_filter=logs_filter) for log in logs: print(f"{log.timestamp} - {log.level}: {log.message}") # Run the asyncio event loop asyncio.run(trigger_deployment())

Your message was too long by 11 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

in this python script that triggers the last deployment how to specify the prefect server API:

from prefect.client.orchestration import get_client from prefect.client.schemas.filters import FlowRunFilter, LogFilter import asyncio async def trigger_deployment(): async with get_client() as client: # Fetch the last deployment deployments = await client.read_deployments() last_deployment = deployments[-1] # Assuming this is the correct logic to fetch the last one print(f"Last Deployment ID: {last_deployment.id}") # Run the last deployment flow_run = await client.create_flow_run_from_deployment( deployment_id=last_deployment.id ) print(f"Flow Run ID: {flow_run.id}") # Wait for flow run to complete (simple polling logic) while True: flow_run_state = (await client.read_flow_run(flow_run.id)).state.name if flow_run_state in {"Completed", "Failed", "Cancelled"}: break print(f"Current state: {flow_run_state}. Waiting to complete...") await asyncio.sleep(10) # Retrieve logs from the flow run logs_filter = LogFilter(flow_run_id={"any_": [str(flow_run.id)]}) logs = await client.read_logs(log_filter=logs_filter) for log in logs: print(f"{log.timestamp} - {log.level}: {log.message}") # Run the

@Marvin if on my current pwd I have my flow and when running prefect deploy the flow is detected how can automate the prefect deployment generation? /dijar-kickoff/prefect/marvin$ docker exec -it marvin-prefect-dev-server-1 /bin/bash (prefect) root@d6bb5424d3f5:/opt/prefect# ls dist entrypoint.sh flow.py requirements-client.txt requirements.txt worker-base-job-template.yaml (prefect) root@d6bb5424d3f5:/opt/prefect# prefect deploy Unable to read the specified config file. Reason: [Errno 2] No such file or directory: 'prefect.yaml'. Skipping. ? Select a flow to deploy [Use arrows to move; enter to select; n to select none] ┏━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Flow Name ┃ Location ┃ ┡━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ > │ pull_and_run_image │ flow.py │ └───┴────────────────────┴──────────┘ Enter a flow entrypoint manually ? Deployment name (default): pull-and-run-image ? Would you like to configure schedules for this deployment? [y/n] (y): n ? Which work pool would you like to deploy this flow to? [Use arrows to move; enter to select] ┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ ┃ Work Pool Name ┃ Infrastructure Type ┃ Description ┃ ┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ > │ seedoo-custom-worker-1 │ docker │ │ └───┴────────────────────────┴─────────────────────┴─────────────┘ ? Would you like to build a custom Docker image for this deployment? [y/n] (n): n ? Your Prefect workers will need access to this flow's code in order to run it. Would you like your workers to pull your flow code from a remote storage location when running this flow? [y/n] (y): n Your Prefect workers will attempt to load your flow from: /opt/prefect/flow.py. To see more options for managing your flow's code, run: $ prefect init ╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ │ Deployment 'pull-and-run-image/pull-and-run-image' successfully created with id '126df2a0-b603-425d-af09-2a23ab001ac5'. │ ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ View Deployment in UI: http://localhost:4200/deployments/deployment/126df2a0-b603-425d-af09-2a23ab001ac5 ? Would you like to save configuration for this deployment for faster deployments in the future? [y/n]: y Deployment configuration saved to prefect.yaml! You can now deploy using this deployment configuration with: $ prefect deploy -n pull-and-run-image You can also make changes to this deployment configuration by making changes to the YAML file. To execute flow runs from this deployment, start a worker in a separate terminal that pulls work from the 'seedoo-custom-worker-1' work pool: $ prefect worker start --pool 'seedoo-custom-worker-1' To schedule a run for this deployment, use the following command: $ prefect deployment run 'pull-and-run-image/pull-and-run-image' (prefect) root@d6bb5424d3f5:/opt/prefect#

Your message was too long by 513 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

if on my current pwd I have my flow and when running prefect deploy the flow is detected how can automate the prefect deployment generation?

/dijar-kickoff/prefect/marvin$ docker exec -it marvin-prefect-dev-server-1 /bin/bash (prefect) root@d6bb5424d3f5:/opt/prefect# ls dist entrypoint.sh flow.py requirements-client.txt requirements.txt worker-base-job-template.yaml (prefect) root@d6bb5424d3f5:/opt/prefect# prefect deploy Unable to read the specified config file. Reason: [Errno 2] No such file or directory: 'prefect.yaml'. Skipping. ? Select a flow to deploy [Use arrows to move; enter to select; n to select none] ┏━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Flow Name ┃ Location ┃ ┡━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ > │ pull_and_run_image │ flow.py │ └───┴────────────────────┴──────────┘ Enter a flow entrypoint manually ? Deployment name (default): pull-and-run-image ? Would you like to configure schedules for this deployment? [y/n] (y): n ? Which work pool would you like to deploy this flow to

> @Marvin if on my current pwd I have my flow and when running prefect deploy the flow is detected how can automate the prefect deployment generation? /dijar-kickoff/prefect/marvin$ docker exec -it marvin-prefect-dev-server-1 /bin/bash (prefect) root@d6bb5424d3f5:/opt/prefect# ls dist entrypoint.sh flow.py requirements-client.txt requirements.txt worker-base-job-template.yaml (prefect) root@d6bb5424d3f5:/opt/prefect# prefect deploy Unable to read the specified config file. Reason: [Errno 2] No such file or directory: 'prefect.yaml'. Skipping. ? Select a flow to deploy [Use arrows to move; enter to select; n to select none] ┏━━━┳━━━━━━━━━━━━━━━ ┃ ┃ Flow Name ┃ Location ┃ ┡━━━╇━━━━━━━━━━━━━━━ │ > │ pull_and_run_image │ flow.py │ └───┴────────────────────┴ Enter a flow entrypoint manually ? Deployment name (default): pull-and-run-image ? Would you like to configure schedules for this deployment? [y/n] (y): n ? Which work pool would you like to deploy this flow to

Your message was too long by 3 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

> if on my current pwd I have my flow and when running prefect deploy the flow is detected how can automate the prefect deployment generation?

/dijar-kickoff/prefect/marvin$ docker exec -it marvin-prefect-dev-server-1 /bin/bash (prefect) root@d6bb5424d3f5:/opt/prefect# ls dist entrypoint.sh flow.py requirements-client.txt requirements.txt worker-base-job-template.yaml (prefect) root@d6bb5424d3f5:/opt/prefect# prefect deploy Unable to read the specified config file. Reason: [Errno 2] No such file or directory: 'prefect.yaml'. Skipping. ? Select a flow to deploy [Use arrows to move; enter to select; n to select none] ┏━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Flow Name ┃ Location ┃ ┡━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ > │ pull_and_run_image │ flow.py │ └───┴────────────────────┴──────────┘ Enter a flow entrypoint manually ? Deployment name (default): pull-and-run-image ? Would you like to configure schedules for this deployment? [y/n] (y): n ? Which work pool would you like to deploy

@Marvin what is the problem here: prefect.exceptions.PrefectHTTPStatusError: Client error '404 Not Found' for url 'http://localhost:4220/api/deployments/3545981e-d777-4f30-b63c-2bda3ff1178b/create_flow_run' Response: {'detail': 'Block not found.'}

Your message was too long by 186 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

python3 trigger-deployment.py

Traceback (most recent call last): File "/home/seedoo/dijar-kickoff/prefect/marvin/trigger-deployment.py", line 34, in <module> asyncio.run(trigger_deployment()) File "/usr/lib/python3.10/asyncio/runners.py", line 44, in run return loop.run_until_complete(main) File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete return future.result() File "/home/seedoo/dijar-kickoff/prefect/marvin/trigger-deployment.py", line 15, in trigger_deployment flow_run = await client.create_flow_run_from_deployment( File "/home/seedoo/.local/lib/python3.10/site-packages/prefect/client/orchestration.py", line 623, in create_flow_run_from_deployment response = await self._client.post( File "/home/seedoo/.local/lib/python3.10/site-packages/httpx/_client.py", line 1892, in post return await self.request( File "/home/seedoo/.local/lib/python3.10/site-packages/httpx/_client.py", line 1574, in request return await self.send(request, auth=auth,

@Marvin Unable to read the specified config file. Reason: expected 'document start', marvin-prefect-dev-server-1 | but found 'block mapping start' marvin-prefect-dev-server-1 | in "new-prefect-srv.yaml", line 7, column 1. Skipping. marvin-prefect-dev-server-1 | An entrypoint must be provided: marvin-prefect-dev-server-1 | prefect deploy path/to/file.py:flow_function marvin-prefect-dev-server-1 | You can also provide an entrypoint in a prefect.yaml file. name: prefect prefect-version: 2.19.5 build: null push: null pull: - prefect.deployments.steps.set_working_directory: directory: /opt/prefect deployments: - name: new-pull-and-run-image version: null tags: [] description: null entrypoint: flow.py:pull_and_run_image parameters: {} work_pool: name: seedoo-custom-worker-1 work_queue_name: null job_variables: {} schedules: []

Your message was too long by 20 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

Unable to read the specified config file. Reason: expected '<document start>',

marvin-prefect-dev-server-1 | but found '<block mapping start>' marvin-prefect-dev-server-1 | in "new-prefect-srv.yaml", line 7, column 1. Skipping. marvin-prefect-dev-server-1 | An entrypoint must be provided: marvin-prefect-dev-server-1 | marvin-prefect-dev-server-1 | prefect deploy path/to/file.py:flow_function marvin-prefect-dev-server-1 | marvin-prefect-dev-server-1 | You can also provide an entrypoint in a prefect.yaml file. name: prefect prefect-version: 2.19.5 # 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.set_working_directory: directory: /opt/prefect # the deployments section allows you to provide configuration for deploying flows deployments: - name: new-pull-and-run-image version: null tags: [] description: null entrypoint: flow.py:pull_and_run_image parameters: {} work_pool: name: seedoo-custom

@Marvin Deployment configuration saved to prefect.yaml! You can now deploy using this deployment configuration with: $ prefect deploy -n seedoo You can also make changes to this deployment configuration by making changes to the YAML file. To execute flow runs from this deployment, start a worker in a separate terminal that pulls work from the 'seedoo-custom-worker-1' work pool: $ prefect worker start --pool 'seedoo-custom-worker-1' To schedule a run for this deployment, use the following command: $ prefect deployment run 'pull-and-run-image/seedoo' (prefect) root@c395c5582eba:/opt/prefect# prefect deployment run 'pull-and-run-image/seedoo'\

^C

(prefect) root@c395c5582eba:/opt/prefect# prefect deployment run 'pull-and-run-image/seedoo' Creating flow run for deployment 'pull-and-run-image/seedoo'... Block not found.

The error "Block not found" when attempting to schedule a run for the deployment indicates that the specified block (probably a storage or infrastructure block) does not exist or is not registered correctly. Here's how you can resolve and verify the step-by-step: ### Step-by-Step Guide to Resolve "Block not found": 1. Ensure the Block is Registered: - Verify that all required blocks (e.g., storage or infrastructure blocks) are created and registered. 2. Check Deployment Configuration: - Ensure that the

prefect.yaml

correctly references existing blocks. ### Example of Registering a Block: Register the block in Python:

python
from prefect.infrastructure import DockerContainer

# Create and register a DockerContainer block
docker_block = DockerContainer(
    image="my-image",
    name="my-docker-container-block"
)
docker_block.save("my-docker-container-block")

### Verify and Edit YAML Configuration: Ensure your deployment YAML (

prefect.yaml

) correctly references the block:

yaml
name: prefect
prefect-version: 2.19.5

deployments:
- name: seedoo
  entrypoint: flow.py:pull_and_run_image
  parameters: {}
  work_pool:
    name: seedoo-custom-worker-1
  tags: []
  schedules: []
  infrastructure:
    type: docker-container
    block: my-docker-container-block

### Apply the Deployment: 1. Generate YAML if Not Done:

bash
   prefect deployment build flow.py:pull_and_run_image --name seedoo --output prefect.yaml

2. Apply the Deployment:

bash
   prefect deployment apply prefect.yaml

### Start Worker: Make sure the worker is started and pulling work from the correct work pool:

bash
prefect worker start --pool 'seedoo-custom-worker-1'

### Schedule a Run: Once everything is correctly configured, schedule a run:

bash
prefect deployment run 'pull-and-run-image/seedoo'

### Additional Checkpoints: 1. Validation: Ensure the Prefect server is reachable and the API URL is correct. 2. Logs: Check logs for any additional details if errors persist. By ensuring all steps are accurately followed, including the creation and referencing of correct blocks, the "Block not found" error should be resolved.

@Marvin prefect deployment run 'pull-and-run-image/seedoo' Creating flow run for deployment 'pull-and-run-image/seedoo'... Block not found. (prefect) root@c395c5582eba:/opt/prefect# cat prefect.yaml # Welcome to your prefect.yaml file! You can use this file for storing and managing # configuration for deploying your flows. We recommend committing this file to source # control along with your flow code. # Generic metadata about this project name: prefect prefect-version: 2.19.5 # 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.set_working_directory: directory: /opt/prefect # the deployments section allows you to provide configuration for deploying flows deployments: - name: seedoo version: null tags: [] description: null entrypoint: flow.py:pull_and_run_image parameters: {} work_pool: name: seedoo-custom-worker-1 work_queue_name: null job_variables: {} schedules: []

The "Block not found" error indicates there is a reference to a block (such as infrastructure, storage, etc.) that does not exist or has not been registered. Ensure all required blocks are created and registered. Since the

prefect.yaml

doesn't explicitly reference any blocks for storage or infrastructure, let's add and verify them. ### Example Structure: 1. Ensure the Docker block exists and is referenced: Ensure you have a Docker container block created if that’s what you use for deployment. ### Register Docker Container Block: If using

DockerContainer

, make sure it's registered:

python
from prefect.infrastructure.docker import DockerContainer

# Create and register a DockerContainer block
docker_block = DockerContainer(
    image="my-image",
    name="my-docker-container-block"  # Provide a unique name
)
docker_block.save("my-docker-container-block")

### Update

prefect.yaml

with Infrastructure Block: Include the

infrastructure

block reference in your

prefect.yaml

file:

yaml
name: prefect
prefect-version: 2.19.5

pull:
- prefect.deployments.steps.set_working_directory:
    directory: /opt/prefect

deployments:
- name: seedoo
  entrypoint: flow.py:pull_and_run_image
  parameters: {}
  work_pool:
    name: seedoo-custom-worker-1
  infrastructure:
    docker-container: my-docker-container-block  # Reference the block name here
  tags: []
  schedules: []

Ensure the blocks referenced in the configuration exist on the Prefect server. ### Steps to Apply: 1. Add/Create Required Blocks:

python
   from prefect.infrastructure.docker import DockerContainer

   docker_block = DockerContainer(
       image="my-image",
       name="my-docker-container-block"  # Ensure this name matches the reference in the YAML
   )
   docker_block.save("my-docker-container-block")

2. Update prefect.yaml:

yaml
   name: prefect
   prefect-version: 2.19.5

   pull:
   - prefect.deployments.steps.set_working_directory:
       directory: /opt/prefect

   deployments:
   - name: seedoo
     entrypoint: flow.py:pull_and_run_image
     parameters: {}
     work_pool:
       name: seedoo-custom-worker-1
     infrastructure:
       docker-container: my-docker-container-block  # Reference the block name here
     tags: []
     schedules: []

3. Apply the Deployment:

bash
   prefect deployment apply prefect.yaml

4. Start Worker:

bash
   prefect worker start --pool 'seedoo-custom-worker-1'

5. Schedule a Run:

bash
   prefect deployment run 'pull-and-run-image/seedoo'

Ensure that your blocks (infrastructure, storage, etc.) are correctly created and referenced. This should resolve the "Block not found" error.

@Marvin I want to configure docker registry credentials block with prefect cli how to do that?

To configure Docker registry credentials using the Prefect CLI, you will need to create a DockerRegistry block to store your Docker registry credentials. Here’s how you can do it: ### Step 1: Create Docker Registry Credentials Block Use the Prefect CLI to create a Docker registry credentials block with the necessary details. ### Command:

bash
prefect block create docker-registry

### Interactive Prompt: This command will prompt you interactively to enter the registry URL, username, and password. 1. Registry URL: The URL of the Docker registry. 2. Username: Your Docker registry username. 3. Password: Your Docker registry password. ### Example:

bash
$ prefect block create docker-registry
? Registry URL: <https://index.docker.io/v1/>
? Docker username: your_docker_username
? Docker password: your_docker_password

### Step 2: Verify the Block is Created After creating the block, you can verify that it has been created by listing all blocks.

bash
prefect block ls

You should see an entry for

docker-registry

among the block types listed. ### Step 3: Use the Docker Registry Block in your YAML or Scripts Update your deployment YAML (

prefect.yaml

) to use the created credentials block. ### YAML Configuration:

yaml
name: prefect
prefect-version: 2.19.5

pull:
- prefect.deployments.steps.set_working_directory:
    directory: /opt/prefect

deployments:
- name: seedoo
  entrypoint: flow.py:pull_and_run_image
  parameters: {}
  work_pool:
    name: seedoo-custom-worker-1
  infrastructure:
    docker-container:
      image: your-image
      registry:
        block: docker-registry/my-docker-registry-block  # This is your block reference
  tags: []
  schedules: []

### Step 4: Apply the Deployment After updating the

prefect.yaml

file, deploy the configuration:

bash
prefect deploy -n seedoo

### Starting a Worker: Ensure that the worker is started and configured to pull from the specified work pool:

bash
prefect worker start --pool 'seedoo-custom-worker-1'

### Scheduling a Run: Finally, schedule a deployment run:

bash
prefect deployment run 'pull-and-run-image/seedoo'

By following these steps, you can configure and use Docker registry credentials with Prefect using the CLI, ensuring your deployments can pull images from a secured Docker registry.

@Marvin can you create me a bash script that handles this automatically? prefect block create docker-registry ? Registry URL: https://index.docker.io/v1/ ? Docker username: your_docker_username ? Docker password: your_docker_password

Certainly! Below is a Bash script that automates the creation of a Docker registry credentials block in Prefect. This script uses

expect

to handle interactive input. ### create_docker_registry_block.sh:

bash
#!/bin/bash

# Set Variables
REGISTRY_URL="<https://index.docker.io/v1/>"
DOCKER_USERNAME="your_docker_username"
DOCKER_PASSWORD="your_docker_password"

# Command to create Docker registry block
create_block_cmd="prefect block create docker-registry"

# Generate the script for `expect`
expect_script=$(cat <<EOF
spawn $create_block_cmd
expect "Registry URL:"
send "$REGISTRY_URL\r"
expect "Docker username:"
send "$DOCKER_USERNAME\r"
expect "Docker password:"
send "$DOCKER_PASSWORD\r"
expect eof
EOF
)

# Running the `expect` script
expect <(echo "$expect_script")

# Verify block creation (Optional)
prefect block ls | grep docker-registry

### Steps to Use the Script: 1. Save the Script: Save the script in a file named

create_docker_registry_block.sh

. 2. Make the Script Executable: Ensure the script is executable by running:

bash
   chmod +x create_docker_registry_block.sh

3. Execute the Script: Run the script to create the Docker registry credentials block:

bash
   ./create_docker_registry_block.sh

### Explanation: 1. Set Variables: Replace

your_docker_username

and

your_docker_password

with actual values. Adjust the

REGISTRY_URL

if necessary. 2. Expect Script: The script uses

expect

to interact with the Prefect CLI and enter the necessary credentials automatically. 3. Verify Block Creation: The script optionally verifies that the Docker registry block has been created by listing the blocks and checking for

docker-registry

. Make sure you have

expect

installed. On most systems, you can install it using: - Ubuntu/Debian:

bash
  sudo apt-get install expect

- CentOS/RHEL:

bash
  sudo yum install expect

This script will automate the creation of the Docker registry credentials block in Prefect. Make sure to replace placeholder values with actual credentials.

@Marvin can I do this without expect?

Yes, you can accomplish this without using

expect

by directly interacting with the Prefect API to create the Docker registry credentials block. However, since Prefect CLI doesn't support non-interactive creation of blocks directly via command-line arguments, we'll use Python to achieve this. ### create_docker_registry_block.sh: Here's a Bash script that uses a Python script to create the Docker registry block.

bash
#!/bin/bash

# Set Variables
REGISTRY_URL="<https://index.docker.io/v1/>"
DOCKER_USERNAME="your_docker_username"
DOCKER_PASSWORD="your_docker_password"
BLOCK_NAME="my-docker-registry-block"  # Change as needed

# Create a Python script to register the block
create_block_script=$(cat <<EOF
from prefect.blocks.system import Secret
from prefect.infrastructure.docker import DockerRegistry

# Create Docker registry credentials block
docker_registry_block = DockerRegistry(
    registry_url="$REGISTRY_URL",
    username="$DOCKER_USERNAME",
    password=Secret("$DOCKER_PASSWORD")
)

# Save block with a unique name
docker_registry_block.save("$BLOCK_NAME", overwrite=True)
EOF
)

# Run the Python script to create the Docker registry block
python3 -c "$create_block_script"

# Verify block creation (Optional)
prefect block ls | grep docker-registry

### Steps to Use the Script: 1. Save the Script: Save the script in a file named

create_docker_registry_block.sh

. 2. Make the Script Executable: Ensure the script is executable by running:

bash
   chmod +x create_docker_registry_block.sh

3. Execute the Script: Run the script to create the Docker registry credentials block:

bash
   ./create_docker_registry_block.sh

### Explanation: 1. Set Variables: Replace

your_docker_username

and

your_docker_password

with actual values. Adjust the

REGISTRY_URL

if necessary. Set the

BLOCK_NAME

to your desired block name. 2. Python Script: The embedded Python script creates and saves the Docker registry credentials block using Prefect's

DockerRegistry

block. 3. Verify Block Creation: The script optionally verifies that the Docker registry block has been created by listing the blocks and checking for

docker-registry

. ### Additional Requirements: Ensure you have

prefect

installed and available in your environment:

bash
pip install prefect

This approach avoids using

expect

and instead leverages Python to programmatically create the required Docker registry credentials block. Ensure to replace the placeholder values with your actual Docker registry credentials.