@Marvin I have this error

Flow could not be retrieved from deployment.

Can you help me?

The error "Flow could not be retrieved from deployment" typically occurs due to issues with accessing the flow's stored location during the flow run. Here are some potential causes and their corresponding fixes: 1. Incorrect Storage Path: - Ensure that the storage path specified in your deployment YAML is correct and accessible to the worker running the flow. - For local storage, verify that the path is absolute and correct. 2. Network Issues: - For remote storage (e.g., S3), ensure there are no network issues preventing access. 3. File System Issues: - Verify that there are no file system permission issues that might be preventing access. 4. Private Repository Access: - If your flow's code is stored in a private repository, ensure the access token provided has the required permissions to clone the repository. Example of a common scenario with S3 storage:

FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp9pq0n7nsprefect/subdir'

This suggests an issue with the path configuration in the deployment manifest. Ensure the S3 bucket and path are correctly set and accessible. For local storage:

FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp9pq0n7nsprefect/subdir'

Ensure that the path to the stored flow is correct and absolute. ### Further References: - GitHub Issue: Detailed case of this error with a private GitHub repository and local file system issues https://github.com/PrefectHQ/prefect/issues/8310 - Documentation on Deployments and Storage: - Concepts: https://docs.prefect.io/latest/concepts/deployments-overview/ - Integrations: https://docs.prefect.io/latest/integrations/prefect-gcp/deployments/steps/ Ensure all configurations are correct, and if the issue persists, consider providing more specific details about your deployment setup for more targeted troubleshooting.

so the last successful flow run for this deployment was in march. the deployment yaml has not changed since then. I thought it was due to the path="", but that seemed to work back in march. I changed the path to "/" this time, but that didnt fix it. here is more context

Downloading flow code from storage at ''
09:35:45 AM
prefect.flow_runs
Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run
    else await load_flow_from_flow_run(
  File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client
    return await fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run
    await storage_block.get_directory(from_path=from_path, local_path=".")
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory
    return await self.filesystem.get_directory(
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory
    return self.filesystem.get(from_path, local_path, recursive=True)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get
    self.get_file(rpath, lpath, callback=child, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 893, in get_file
    os.makedirs(lpath, exist_ok=True)
  File "/usr/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)
FileNotFoundError: [Errno 2] No such file or directory: ''
09:35:48 AM
prefect.flow_runs
Downloading flow code from storage at '/'
11:04:28 AM
prefect.flow_runs
Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run
    else await load_flow_from_flow_run(
  File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client
    return await fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run
    await storage_block.get_directory(from_path=from_path, local_path=".")
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory
    return await self.filesystem.get_directory(
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory
    return self.filesystem.get(from_path, local_path, recursive=True)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get
    self.get_file(rpath, lpath, callback=child, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 893, in get_file
    os.makedirs(lpath, exist_ok=True)
  File "/usr/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)
FileNotFoundError: [Errno 2] No such file or directory: ''

No, your previous reply doesn't change the core aspects of the answer. The main points to check and fix remain relevant: 1. Storage Path: Ensure the path specified is correct and accessible. 2. Network Issues: Verify there are no network problems. 3. File System Permissions: Check for permission-related issues. 4. Private Repository Access: Ensure the access token provided has the required permissions. However, since you didn't provide additional context or changes, the key suggestions and links for more detailed information still hold. Here's a more concise version of the steps you should take: 1. Verify Deployment YAML: - Ensure correct and absolute storage paths. - Check access and permissions for any remote storage or private repositories. 2. Test Connectivity: - For remote storage like S3, test the network connectivity. 3. Permissions: - Make sure the worker has the necessary file system permissions. For specific troubleshooting: - Review the detailed case on GitHub: GitHub Issue 8310 - Check the Prefect docs on Deployments and Integrations.

@Marvin here is more context so the last successful flow run for this deployment was in march. the deployment yaml has not changed since then. I thought it was due to the path="", but that seemed to work back in march. I changed the path to "/" this time, but that didnt fix it.

Downloading flow code from storage at ''
09:35:45 AM
prefect.flow_runs
Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run
    else await load_flow_from_flow_run(
  File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client
    return await fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run
    await storage_block.get_directory(from_path=from_path, local_path=".")
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory
    return await self.filesystem.get_directory(
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory
    return self.filesystem.get(from_path, local_path, recursive=True)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get
    self.get_file(rpath, lpath, callback=child, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 893, in get_file
    os.makedirs(lpath, exist_ok=True)
  File "/usr/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)
FileNotFoundError: [Errno 2] No such file or directory: ''
09:35:48 AM
prefect.flow_runs
Downloading flow code from storage at '/'
11:04:28 AM
prefect.flow_runs
Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run
    else await load_flow_from_flow_run(
  File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client
    return await fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run
    await storage_block.get_directory(from_path=from_path, local_path=".")
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory
    return await self.filesystem.get_directory(
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory
    return self.filesystem.get(from_path, local_path, recursive=True)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get
    self.get_file(rpath, lpath, callback=child, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 893, in get_file
    os.makedirs(lpath, exist_ok=True)
  File "/usr/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)
FileNotFoundError: [Errno 2] No such file or directory: ''

Your message was too long by 520 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

here is more context

so the last successful flow run for this deployment was in march. the deployment yaml has not changed since then. I thought it was due to the path="", but that seemed to work back in march. I changed the path to "/" this time, but that didnt fix it. ```Downloading flow code from storage at '' 093545 AM prefect.flow_runs Flow could not be retrieved from deployment. Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run else await load_flow_from_flow_run( File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client return await fn(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run await storage_block.get_directory(from_path=from_path, local_path=".") File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory return await self.filesystem.get_directory( File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory return self.filesystem.get

@Marvin i confirmed that suggestions 2 through 4 are valid

Given that the error stems from the local file system, let's focus further on this scenario. 1. Double-Check Storage Path: - Ensure the path specified in your deployment YAML is correct. This should be an absolute path that the worker can access. 2. Storage Block Configuration: - Verify the storage block configuration. - Below is a sample configuration for local storage:

yaml
storage:
  - block_type_slug: local
    attributes: 
      basepath: /absolute/path/to/your/flows

3. Deployment File: - Ensure that the

--path

specified while deploying matches the storage block location. - Example command:

bash
prefect deployment build your_flow.py:flow_function --name your_deployment --storage-block local/your_storage_block --path /absolute/path/to/your/flows

4. Adjust Manifest: - If needed, adjust the manifest to reflect the absolute path. For further details: - Deployment and Storage Documentation: https://docs.prefect.io/latest/concepts/deployments-block-based/ - Storage Guide: https://docs.prefect.io/latest/guides/deployment/storage-guide/ Validate these configurations, and if discrepancies are found, adjust them to ensure correct pathing and accessibility.

@Marvin what about this?

Downloading flow code from storage at ''
09:35:45 AM
prefect.flow_runs
Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run
    else await load_flow_from_flow_run(
  File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client
    return await fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run
    await storage_block.get_directory(from_path=from_path, local_path=".")
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory
    return await self.filesystem.get_directory(
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory
    return self.filesystem.get(from_path, local_path, recursive=True)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get
    self.get_file(rpath, lpath, callback=child, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 893, in get_file
    os.makedirs(lpath, exist_ok=True)
  File "/usr/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)
FileNotFoundError: [Errno 2] No such file or directory: ''

Your message was too long by 79 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

what about this?

```Downloading flow code from storage at '' 093545 AM prefect.flow_runs Flow could not be retrieved from deployment. Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run else await load_flow_from_flow_run( File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client return await fn(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run await storage_block.get_directory(from_path=from_path, local_path=".") File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory return await self.filesystem.get_directory( File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory return self.filesystem.get(from_path, local_path, recursive=True) File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get self.get_file(rpath, lpath, callback=child, **kwargs) File "/usr

@Marvin what about this?

Downloading flow code from storage at ''
Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run
    else await load_flow_from_flow_run(
  File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client
    return await fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run
    await storage_block.get_directory(from_path=from_path, local_path=".")
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory
    return await self.filesystem.get_directory(
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory
    return self.filesystem.get(from_path, local_path, recursive=True)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get
    self.get_file(rpath, lpath, callback=child, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 893, in get_file
    os.makedirs(lpath, exist_ok=True)
  File "/usr/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)
FileNotFoundError: [Errno 2] No such file or directory: ''

Your message was too long by 67 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

what about this?

```Downloading flow code from storage at '' Flow could not be retrieved from deployment. Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/prefect/engine.py", line 427, in retrieve_flow_then_begin_flow_run else await load_flow_from_flow_run( File "/usr/local/lib/python3.10/dist-packages/prefect/client/utilities.py", line 100, in with_injected_client return await fn(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/prefect/deployments/deployments.py", line 303, in load_flow_from_flow_run await storage_block.get_directory(from_path=from_path, local_path=".") File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory return await self.filesystem.get_directory( File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory return self.filesystem.get(from_path, local_path, recursive=True) File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get self.get_file(rpath, lpath, callback=child, **kwargs) File "/usr/local/lib/python3.10/dist-packages/fsspec

@Marvin what about this?

Downloading flow code from storage at ''
09:35:45 AM
prefect.flow_runs
Flow could not be retrieved from deployment.
Traceback (most recent call last):
....
    await storage_block.get_directory(from_path=from_path, local_path=".")
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 496, in get_directory
    return await self.filesystem.get_directory(
  File "/usr/local/lib/python3.10/dist-packages/prefect/filesystems.py", line 330, in get_directory
    return self.filesystem.get(from_path, local_path, recursive=True)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 976, in get
    self.get_file(rpath, lpath, callback=child, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/fsspec/spec.py", line 893, in get_file
    os.makedirs(lpath, exist_ok=True)
  File "/usr/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)
FileNotFoundError: [Errno 2] No such file or directory: ''

The traceback indicates that the

from_path

parameter in your deployment is empty, leading to a

FileNotFoundError

. This can happen if the storage path in your deployment YAML is not set correctly or is missing. ### Steps to Fix: 1. Check Deployment YAML: - Ensure that the

path

specified in your YAML is correct and not empty. 2. Verify Storage Block: - Check the configuration of the storage block you are using to ensure it is correctly set up. For example, if you're using a

LocalFileSystem

block, verify its

basepath

. ### Example Deployment Configuration: Your deployment YAML should look something like this:

yaml
name: example-flow-deployment
description: An example deployment for flow
storage:
  - block_type_slug: local-file-system
    attributes: 
      basepath: /path/to/your/flow/code
path: /path/to/your/flow/code

### Create Deployment Command: Ensure you correctly specify the

--path

during deployment creation:

bash
prefect deployment build your_flow.py:flow_function --name your_deployment --storage-block local/your_storage_block --path /path/to/your/flow/code

### Adjust Manifest if Needed: If the automatic deployment creation set an incorrect path, manually adjust the deployment manifest file (

deployment.yaml

) to reflect the correct path. ### Documentation and References: - Deployment and Storage Blocks: https://docs.prefect.io/latest/concepts/deployments-block-based/ - Storage Guide: https://docs.prefect.io/latest/guides/deployment/storage-guide/ Ensure these configurations are correct, and it should resolve the

FileNotFoundError

due to an empty path.

what type of code storage are you using? is this in a docker image, or locally available code where your agent is running?

Hi @Kevin Grismore This would be using S3 as flow code storage. The flows are running inside ephemeral docker containers hosted in Kubernetes Here is YAML we've historically used for deployments

###
### A complete description of a Prefect Deployment for flow 'isp-portal-submission'
###
name: isp_portal_submission_yaml_deploy_k8
description: "This flow takes parameters specifiying the \nlocation of the isp file\
  \ to be processed, extracts\nthe file from s3, then transforms and loads the file\
  \ within our \nRDS instance of SQL Server. \n\n\nsubmission_key: Unique key associated\
  \ with each isp submission\ns3_filepath: s3 filepath location for file submitted through the\
  \ isp portal\n\nisp_portal_submission(\n    \"123\",\n    \"<S3://sslv-prod-sftp/bstefansen/TO_LIGHTBOX/TX_CSV_MOCK.csv>\"\
  \n)"
version: e9eec5047a532d89afa5c4de4d4ec92d
# The work queue that will handle this deployment's runs
work_queue_name: kubernetes-broadband
tags: []
parameters: {}
schedule: null
infra_overrides: {}
infrastructure:
  type: kubernetes-job
  env: {}
  labels: {}
  name: null
  command: null
  image: digmap/broadband_prefect_jobs:1.081624.0
  namespace: prefect2
  service_account_name: null
  image_pull_policy: null
  cluster_config: null
  job:
    apiVersion: batch/v1
    kind: Job
    metadata:
      labels: {}
    spec:
      template:
        spec:
          parallelism: 1
          completions: 1
          restartPolicy: Never
          containers:
          - name: prefect-job
            env: []
          imagePullSecrets:
          - name: dockercloud-secret
  customizations: []
  job_watch_timeout_seconds: null
  pod_watch_timeout_seconds: 300
  stream_output: true
  finished_job_ttl: null
  block_type_slug: kubernetes-job
  _block_type_slug: kubernetes-job

###
### DO NOT EDIT BELOW THIS LINE
###
flow_name: isp-portal-submission
manifest_path: null
storage:
  bucket_path: lightbox-prefect/Staging/Broadband/isp_flow
  aws_access_key_id: '**********'
  aws_secret_access_key: '**********'
  _block_document_id: ad04fc33-9c67-4966-8179-6f8fa49a35e5
  _block_document_name: isp-flow-filesystem
  _is_anonymous: false
  block_type_slug: s3
  _block_type_slug: s3
path: ''
entrypoint: flows/isp_portal_submission.py:isp_portal_submission
parameter_openapi_schema:
  title: Parameters
  type: object
  properties:
    submission_key:
      title: submission_key
    s3_filepath:
      title: s3_filepath
  required:
  - submission_key
  - s3_filepath
  definitions: null

When a Docker container is created for a flow run, the worker (or agent in earlier versions) downloads the flow code into the container. This ensures that the container has access to the flow's required code and dependencies when it is executed. Here are the key details: 1. Flow Code Download: - The worker manages the retrieval of the flow code and places it inside the container. This is typically configured in the deployment manifest. 2. Docker Container Setup: - The Docker container will be configured to use the appropriate storage block, such as S3, local file system, etc. - The worker ensures the flow code is accessible within the container by using the specified storage block to retrieve the code. ### Example Process: 1. Create the Docker Image: - A Dockerfile specifies the environment and dependencies. - Example Dockerfile:

FROM prefecthq/prefect:latest
     COPY . /opt/prefect/flows/
     WORKDIR /opt/prefect/flows/

2. Deploy the Flow: - When deploying the flow, specify the storage block and path. - Example command:

prefect deployment build your_flow.py:flow_function --name your_deployment --storage-block local/your_storage_block --path /path/to/your/flow/code

3. Worker Downloads Flow Code: - The worker retrieves the flow code using the storage configuration, ensuring the code is present inside the container where the flow will run. Further details and full guide can be found here. Ensure the deployment YAML and Dockerfile are correctly set up to facilitate the seamless transfer of flow code into the Docker container. This guarantees that the code is available and executable when the container starts.

@Marvin does the bucket path tell the agent to download all the code in the given path? does the entrypoint tell the container which flow to run? what does the path do?

Here's the breakdown of each concept: ### Bucket Path and Code Download: - Bucket Path: This refers to the source location of your code within your storage (e.g., S3 bucket, local file system). - Download All Code: When the

get_directory

method is called, it downloads the contents of the specified path in the storage to the local directory. Example:

python
  await storage_block.get_directory(from_path="path/to/your/code", local_path=".")

This copies all files from

path/to/your/code

in the bucket to the current working directory inside the Docker container. ### Entrypoint and Flow Execution: - Entrypoint: Specifies the location and function within your code that Prefect should run as the flow. - It uses the Python path-to-object syntax:

path/to/file.py:function_name

. - The worker/container uses this to locate the flow's entry function and execute it. Example in YAML:

yaml
  entrypoint: path/to/flow.py:flow_function

### Path in Deployment Configuration: - Path: This refers to where the code is stored within your storage system. It must align with the

from_path

used in the storage block configuration. Purpose: - During Build: This specifies where the deployment code will be stored. - During Execution: It helps the storage block to retrieve and download the flow code to the worker/container environment. Example Command:

bash
  prefect deployment build your_flow.py:flow_function --name your_deployment --storage-block local/your_storage_block --path /absolute/path/to/your/flow/code

### Practical Example: Here is a combined example that covers these concepts: 1. Deployment YAML Example:

yaml
  name: example-flow-deployment
  description: An example deployment for flow
  storage:
    - block_type_slug: local-file-system
      attributes: 
        basepath: /path/to/your/flow/code
  path: /path/to/your/flow/code
  entrypoint: path/to/flow.py:flow_function

2. Deployment Command:

bash
  prefect deployment build your_flow.py:flow_function --name your_deployment --storage-block local/your_storage_block --path /path/to/your/flow/code

By correctly setting the bucket path, entrypoint, and path properties, you ensure that Prefect knows where to get the code, which code to execute, and where to store or retrieve this code during deployment and execution. ### Additional Reading: - Prefect Deployments: https://docs.prefect.io/latest/concepts/deployments/ - GCS Integration: https://docs.prefect.io/latest/integrations/prefect-gcp/cloud_storage/ These configurations work together to ensure your flow runs smoothly within a Docker container or any other specified infrastructure.

@Blake Stefansen did you ever resolve this issue? I'm also getting the

Flow could not be retrieved from deployment.