Discovered worker type 'docker' for work pool 'test_docker'.
Worker 'DockerWorker 196bda7f-91c8-4f2d-aaf4-28af729f8af6' started!
12:45:10.451 | INFO    | prefect.flow_runs.worker - Worker 'DockerWorker 196bda7f-91c8-4f2d-aaf4-28af729f8af6' submitting flow run '2ae9462a-c308-4b92-a6c7-244c25905f4b'
12:45:12.816 | INFO    | prefect.worker.docker.dockerworker 196bda7f-91c8-4f2d-aaf4-28af729f8af6 - Creating Docker container 'purple-dormouse'...
12:45:12.874 | INFO    | prefect.worker.docker.dockerworker 196bda7f-91c8-4f2d-aaf4-28af729f8af6 - Docker container 'purple-dormouse' has status 'created'
12:45:13.213 | INFO    | prefect.worker.docker.dockerworker 196bda7f-91c8-4f2d-aaf4-28af729f8af6 - Docker container 'purple-dormouse' has status 'running'
12:45:13.624 | INFO    | prefect.flow_runs.worker - Completed submission of flow run '2ae9462a-c308-4b92-a6c7-244c25905f4b'
/usr/local/lib/python3.9/runpy.py:127: RuntimeWarning: 'prefect.engine' found in sys.modules after import of package 'prefect', but prior to execution of 'prefect.engine'; this may result in unpredictable behaviour
  warn(RuntimeWarning(msg))
<jemalloc>: MADV_DONTNEED does not work (memset will be used instead)
<jemalloc>: (This is the expected behaviour if you are running under QEMU)
Cloning into 'monorepo'...
15:45:43.527 | INFO    | prefect.deployment - Cloned repository '<https://github.com/gaia-family/monorepo.git>' into 'monorepo'
ERROR: Could not open requirements file: [Errno 2] No such file or directory: 'requirements.txt'

[notice] A new release of pip available: 22.3.1 -> 23.1.2
[notice] To update, run: pip install --upgrade pip
15:45:46.830 | ERROR   | Flow run 'purple-dormouse' - Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "<frozen importlib._bootstrap_external>", line 846, in exec_module
  File "<frozen importlib._bootstrap_external>", line 982, in get_code
  File "<frozen importlib._bootstrap_external>", line 1039, in get_data
FileNotFoundError: [Errno 2] No such file or directory: 'mixpanel_to_s3_test.py'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/lib/python3.9/site-packages/prefect/engine.py", line 395, in retrieve_flow_then_begin_flow_run
    flow = await load_flow_from_flow_run(flow_run, client=client)
  File "/usr/local/lib/python3.9/site-packages/prefect/client/utilities.py", line 51, in with_injected_client
    return await fn(*args, **kwargs)
  File "/usr/local/lib/python3.9/site-packages/prefect/deployments/deployments.py", line 218, in load_flow_from_flow_run
    flow = await run_sync_in_worker_thread(load_flow_from_entrypoint, str(import_path))
  File "/usr/local/lib/python3.9/site-packages/prefect/utilities/asyncutils.py", line 91, in run_sync_in_worker_thread
    return await anyio.to_thread.run_sync(
  File "/usr/local/lib/python3.9/site-packages/anyio/to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "/usr/local/lib/python3.9/site-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "/usr/local/lib/python3.9/site-packages/anyio/_backends/_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "/usr/local/lib/python3.9/site-packages/prefect/flows.py", line 876, in load_flow_from_entrypoint
    flow = import_object(entrypoint)
  File "/usr/local/lib/python3.9/site-packages/prefect/utilities/importtools.py", line 201, in import_object
    module = load_script_as_module(script_path)
  File "/usr/local/lib/python3.9/site-packages/prefect/utilities/importtools.py", line 164, in load_script_as_module
    raise ScriptError(user_exc=exc, path=path) from exc
prefect.exceptions.ScriptError: Script at 'mixpanel_to_s3_test.py' encountered an exception: FileNotFoundError(2, 'No such file or directory')
 > Running git_clone step...
 > Running pip_install_requirements step...
12:45:49.751 | INFO    | prefect.worker.docker.dockerworker 196bda7f-91c8-4f2d-aaf4-28af729f8af6 - Docker container 'purple-dormouse' has status 'exited'
12:45:49.768 | INFO    | prefect.worker.docker.dockerworker 196bda7f-91c8-4f2d-aaf4-28af729f8af6 - Docker container 'purple-dormouse' has status 'exited'

./sub-folder/health_check_flow

/opt/prefect

multi-flow-demo

/opt/prefect/flow/multi-flow-demo/healthcheck_flow_a

./healthcheck_flow_a

# Welcome to your prefect.yaml file! You can you 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: 2.10.18

# build section allows you to manage and build docker images
build:
    - prefect_docker.deployments.steps.build_docker_image:
        id: build_image
        requires: prefect-docker>=0.3.1
        image_name: gaia-mixpanel-to-s3-test
        tag: '1.4'

pull:
    - prefect.deployments.steps.git_clone:
        repository: <https://github.com/gaia-family/monorepo.git>
        branch: prefect_test
        access_token:
    - prefect.deployments.steps.pip_install_requirements:
        requirements_file: requirements.txt

# the deployments section allows you to provide configuration for deploying flows
deployments:
- name: mixpanel_to_s3_test
  path: /monorepo/data/prefect/mixpanel_to_s3_test.py
  entrypoint: mixpanel_to_s3_test.py:mixpanel_to_s3_test
  version: null
  tags: []
  description: This flow extracts mixpanel data from the api and sends it to an s3 bucket.
  schedule: {}
  parameters: {}
  schedule:
    cron: 0 2 * * *
    timezone: Europe/London
    day_or: true
  work_pool:
    name: default-agent-pool
    work_queue_name: default
    job_variables:
      image: '{{ build_image.image }}'
      tag: '{{ build_image.tag }}'

cd

entrypoint

$ cat Dockerfile

FROM --platform=linux/amd64 prefecthq/prefect:2.10.18-python3.9
WORKDIR /.

cat prefect.yaml
# Welcome to your prefect.yaml file! You can you 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: path_and_entry_flow
prefect-version: 2.10.18

# 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/chrisaboyd/Samples.git>
    branch: main
    access_token: null
- prefect.deployments.steps.run_shell_script:
    id: test
    script: ls -l
    stream_output: true

# the deployments section allows you to provide configuration for deploying flows
deployments:
- name: communitypath
  description: null
  flow_name: null
  entrypoint: ./Prefect/hello_world.py:hello_world
  parameters: {}
  work_pool:
    name: kubernetes
    work_queue_name: null
    job_variables:
      image: chaboy/test:community

/Samples/Prefect/hello_world.py:hello_world

/