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Docker plugin #1926

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danpf
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@danpf danpf commented Oct 30, 2023

TL;DR

Add a plugin to build imagespec using a docker buildx driver/builder

Type

  • Bug Fix
  • Feature
  • Plugin

Are all requirements met?

  • Code completed
  • Smoke tested
  • Unit tests added
  • Code documentation added
  • Any pending items have an associated Issue

Complete description

This is a quick pass at a docker / buildkit builder for flytekit. Basically, this plugin provides an alternative interface to ImageSpec which will allow the usage of preexisting Dockerfiles that may be too complex to recreate with envd.

ImageSpec itself seems very tailored to envd, so I'm not sure if this is the best way to go about adding this functionality.

Notable changes

  • flytekit/remote/remote.py
    • alter task-id (version) based on ImageSpec
  • Because of how images are built/checked for existence i have to resort to some hacks that I don't think should make it into the final PR. See horrible_horrible_hack in plugins/flytekit-docker/flytekitplugins/docker/image_builder.py

Because of this, It will likely require a deeper discussion with the team before merging

  • Need to create requirements.txt file correctly (getting weird errors)
  • Test the buildkit_build_extra_output option
  • Check if it Is it possible to test this further with the current infrastructure
  • Check that it works
image

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codecov bot commented Oct 31, 2023

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (f16ac49) 54.71% compared to head (e987942) 39.83%.
Report is 12 commits behind head on master.

❗ Current head e987942 differs from pull request most recent head 44f42cf. Consider uploading reports for the commit 44f42cf to get more accurate results

Additional details and impacted files
@@             Coverage Diff             @@
##           master    #1926       +/-   ##
===========================================
- Coverage   54.71%   39.83%   -14.89%     
===========================================
  Files         305      170      -135     
  Lines       22732    16649     -6083     
  Branches     3453     3451        -2     
===========================================
- Hits        12438     6632     -5806     
+ Misses      10122     9861      -261     
+ Partials      172      156       -16     
Files Coverage Δ
flytekit/image_spec/image_spec.py 43.08% <100.00%> (+1.42%) ⬆️

... and 152 files with indirect coverage changes

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danpf added 6 commits October 30, 2023 21:31
Signed-off-by: Danny Farrell <[email protected]>
Signed-off-by: Danny Farrell <[email protected]>
Signed-off-by: Danny Farrell <[email protected]>
Signed-off-by: Danny Farrell <[email protected]>
Signed-off-by: Danny Farrell <[email protected]>
if env_image_id:
click.secho(f"Skipping nested build of {image_spec.name}", fg="blue")

def horrible_horrible_hack() -> str:
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what?


biopython_img = ImageSpec(
name="flytekit-biopython",
builder="docker",
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interesting

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this is pretty cool, just dont like the horrible_horrible_hack haha

@danpf
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danpf commented Nov 4, 2023

Yea I just wanted to get something that works by touching the least amount possible. I have an idea of what needs to happen, but I wanted to get some feedback before I dumped a bunch more time into it or pushed the scope wider.

I'll probably keep plugging away at this till I'm happy with it, but any direction / thoughts would be greatly appreciated so I don't spend too much time in the wrong places.

Briefly:

  • Should ImageSpec be abstracted to ImageSpecBase + ImageSpecEnvD + ImageSpecDockerfile?

    • I'm not a huge fan of this solution, I think it would be nice to not have the plugins installed on the node
    • The current way is a bit too cluttered for me as it somewhat defeats the purpose of having the plugin abstraction.
  • if non-python files are going to be considered during hashing - that has to be managed delicately as it is not what flyte currently does without copy-all

  • horrible_horrible_hack is because the Dockerfile isn't packaged with the script and sent to the remote. So when the remote calls .build_image and tries to determine a hash, it either crashes (folder doesn't exist) or it determines a new one and thus returns a new image_name. This causes the builder to try and build the image again and then crash because docker doesn't exist. To prove to myself it could be done I just used this hack but as previously mentioned I don't want it to be merged.

ident = self.raw_register(
cp_entity,
settings=settings,
version=version,
version=c_version,
create_default_launchplan=create_default_launchplan,
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Could you please explain why this is required?
My naive expectation after reading the PR description is that the plugin "should do thedocker build -t <some tag> . part" that has to come before pyflyte run --image <some tag>. Doing this manually wouldn't require modifying the version here, right?

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The version hash is built based on the python code - which doesn't include the Dockerfile if it changes. This means that if you pyflyte run the same workflow twice but the container hash changes due to a change in the dockerfile, you errors similar to this:

RPC Failed, with Status: StatusCode.INVALID_ARGUMENT
        details: task with different structure already exists with id resource_type:TASK project:"flytesnacks" domain:"development" name:"example_pyflyte_script.t1" version:"LMxQheYT9myAmWklNHYD6A=="
        ```

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The version hash is built based on the python code

To make sure I understand, when a user executes pyflyte run, the workflow etc. python code is hashed to get version in the code snippet?

How does this look like when the user executes pyflyte register --version ...? Then version in the code snippet should have the user specified value?

Imagine there is a task and a workflow in a module and you pyflyte register --version v1 this module, would the user see a version v1 in the flyte console for the workflow and launch plan but a version v1-<some hash> for the task?

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yeah, I think workflow and task version will become different

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hash is calculated here, we can add the dockerfile to the zip file. Hence, flytekit will register a new version of workflow once you update the dockerfile.

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a problem is that we would have to also hash the docker build context directory as well

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Or we could do it here by using the tag of the image as additional context?

@staticmethod
    def _version_from_hash(
        md5_bytes: bytes,
        serialization_settings: SerializationSettings,
        *additional_context: str,
    ) -> str:
    """
    ...
    :param additional_context: This is for additional context to factor into the version computation,
          meant for objects (like Options for instance) that don't easily consistently stringify.
    """

pyflyte run calls register_script, which under the hood does:

if version is None:
    # The md5 version that we send to S3/GCS has to match the file contents exactly,
    # but we don't have to use it when registering with the Flyte backend.
    # For that add the hash of the compilation settings to hash of file
    version = self._version_from_hash(md5_bytes, serialization_settings)

If the user on the other hand executes pyflyte register, under the hood we do:

 if not version and fast:
        version = remote._version_from_hash(md5_bytes, serialization_settings, service_account, raw_data_prefix)  # noqa
        click.secho(f"Computed version is {version}", fg="yellow")

What do you think @pingsutw?

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The tag isn't generated/parsed until the end of register_script (which uses the previously defined version to create some entities) I guess you could do it in 2 stages & with a junk version initially, and then change the version on the resulting entities?

build image backtrace
> /Users/dan.farrell/tmp/git/flytekit/flytekit/image_spec/image_spec.py(160)build()                                                                                                                      
-> if image_spec.builder not in cls._REGISTRY:                                                                                                                                                           
(Pdb) bt                                                                                                                                                                                                 
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/bin/pyflyte(8)<module>()                                                                                                               
-> sys.exit(main())                                                                                                                                                                                      
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/lib/python3.11/site-packages/click/core.py(1157)__call__()                                                                             
-> return self.main(*args, **kwargs)                                                                                                                                                                     
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/lib/python3.11/site-packages/rich_click/rich_group.py(21)main()                                                                        
-> rv = super().main(*args, standalone_mode=False, **kwargs)                                                                                                                                             
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/lib/python3.11/site-packages/click/core.py(1078)main()                                                                                 
-> rv = self.invoke(ctx)                                                                                                                                                                                 
/Users/dan.farrell/tmp/git/flytekit/flytekit/clis/sdk_in_container/utils.py(124)invoke()                                                                                                               
-> return super().invoke(ctx)                                                                                                                                                                            
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/lib/python3.11/site-packages/click/core.py(1688)invoke()                                                                               
-> return _process_result(sub_ctx.command.invoke(sub_ctx))                                                                                                                                               
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/lib/python3.11/site-packages/click/core.py(1688)invoke()                                                                               
-> return _process_result(sub_ctx.command.invoke(sub_ctx))                                                                                                                                               
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/lib/python3.11/site-packages/click/core.py(1688)invoke()                                                                               
-> return _process_result(sub_ctx.command.invoke(sub_ctx))                                                                                                                                               
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/lib/python3.11/site-packages/click/core.py(1434)invoke()                                                                               
-> return ctx.invoke(self.callback, **ctx.params)                                                                                                                                                        
/Users/dan.farrell/.local/share/micromamba/envs/tflyte-subwf-01/lib/python3.11/site-packages/click/core.py(783)invoke()                                                                                
-> return __callback(*args, **kwargs)                                                                                                                                                                    
/Users/dan.farrell/tmp/git/flytekit/flytekit/clis/sdk_in_container/run.py(490)_run()                                                                                                                   
-> remote_entity = remote.register_script(                                                                                                                                                               
/Users/dan.farrell/tmp/git/flytekit/flytekit/remote/remote.py(932)register_script()                                                                                                                    
-> return self.register_task(entity, serialization_settings, version)                                                                                                                                    
/Users/dan.farrell/tmp/git/flytekit/flytekit/remote/remote.py(735)register_task()                                                                                                                      
-> ident = self._serialize_and_register(entity=entity, settings=serialization_settings, version=version)                                                                                                 
/Users/dan.farrell/tmp/git/flytekit/flytekit/remote/remote.py(691)_serialize_and_register()                                                                                                            
-> _ = get_serializable(m, settings=serialization_settings, entity=entity, options=options)                                                                                                              
/Users/dan.farrell/tmp/git/flytekit/flytekit/tools/translator.py(696)get_serializable()                                                                                                                
-> cp_entity = get_serializable_task(settings, entity)                                                                                                                                                   
/Users/dan.farrell/tmp/git/flytekit/flytekit/tools/translator.py(180)get_serializable_task()                                                                                                           
-> container = entity.get_container(settings)                                                                                                                                                            
/Users/dan.farrell/tmp/git/flytekit/flytekit/core/python_auto_container.py(177)get_container()                                                                                                         
-> return self._get_container(settings)                                                                                                                                                                  
/Users/dan.farrell/tmp/git/flytekit/flytekit/core/python_auto_container.py(188)_get_container()                                                                                                        
-> image=get_registerable_container_image(self.container_image, settings.image_config),                                                                                                                  
/Users/dan.farrell/tmp/git/flytekit/flytekit/core/python_auto_container.py(257)get_registerable_container_image()
-> ImageBuildEngine.build(img)
> /Users/dan.farrell/tmp/git/flytekit/flytekit/image_spec/image_spec.py(160)build()
-> if image_spec.builder not in cls._REGISTRY:
(Pdb)

@@ -25,7 +25,7 @@ class ImageSpec:
name: name of the image.
python_version: python version of the image. Use default python in the base image if None.
builder: Type of plugin to build the image. Use envd by default.
source_root: source root of the image.
source_root: source root of the image, or the dockerfile context path.
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For users not proficient with docker and/or envd it might be confusing that the kargs that are intended for envd and docker are mixed. In case additional builders are added in the future, this might get even worse.
I personally vote for refactoring this into a BaseImageSpec and then inheriting ...

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You wrote:

I'm not a huge fan of this solution, I think it would be nice to not have the plugins installed on the node
The current way is a bit too cluttered for me as it somewhat defeats the purpose of having the plugin abstraction.

I agree with it being to cluttered and defeating the purpose of having a plugin abstraction. Maybe the register method of the ImageBuildEngine should receive an accompanying ImageSpec class for each ImageSpecBuilder?
Could you please point me to where the ImageSpec is needed at runtime? Maybe we can avoid this by running the relevant code only when the flyte context tells us we are in registration mode?

I think @pingsutw should have the ultimate say in this.

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For now, source root is always set by flytekit, and it's the first ancestor from source_path that does not contain a __init__.py file. Do you want to set it by yourself?

ident = self.raw_register(
cp_entity,
settings=settings,
version=version,
version=c_version,
create_default_launchplan=create_default_launchplan,
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The version hash is built based on the python code

To make sure I understand, when a user executes pyflyte run, the workflow etc. python code is hashed to get version in the code snippet?

How does this look like when the user executes pyflyte register --version ...? Then version in the code snippet should have the user specified value?

Imagine there is a task and a workflow in a module and you pyflyte register --version v1 this module, would the user see a version v1 in the flyte console for the workflow and launch plan but a version v1-<some hash> for the task?

from flytekit import task
from flytekit.image_spec import ImageSpec

biopython_img = ImageSpec(builder="docker", dockerfile="docker/Dockerfile.biopython")
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Suggested change
biopython_img = ImageSpec(builder="docker", dockerfile="docker/Dockerfile.biopython")
img = ImageSpec(builder="docker", dockerfile="docker/Dockerfile")

Would it be ok for you to keep the variable naming here generic?

The python docker api, aka [docker-py](https://github.com/docker/docker-py) is a bit behind the buildkit integration. See: https://github.com/docker/docker-py/issues/2230


For this reason, I decided to just use simple subprocess commands. There are alternatives such as [python-on-whales](https://github.com/gabrieldemarmiesse/python-on-whales), but our complexity would have to be significantly larger to justify adding it as a dependency.
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Suggested change
For this reason, I decided to just use simple subprocess commands. There are alternatives such as [python-on-whales](https://github.com/gabrieldemarmiesse/python-on-whales), but our complexity would have to be significantly larger to justify adding it as a dependency.
For this reason, this plugin currently just uses simple subprocess commands. There are alternatives such as [python-on-whales](https://github.com/gabrieldemarmiesse/python-on-whales), but the complexity would have to be significantly larger to justify adding it as a dependency.

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Might better be placed in image_builder.py in a doc string.

image_spec.image_name = horrible_horrible_hack
return

# Inject _F_IMG_ID to stop recursive builds
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Where does the recursion come from?
Does it try to build the image again when the task starts to actually run in the cluster? If yes, could we solve this by figuring out from the flyte context whether we currently are in registration mode or execution mode?

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You say:

horrible_horrible_hack is because the Dockerfile isn't packaged with the script and sent to the remote. So when the remote calls .build_image and tries to determine a hash, it either crashes (folder doesn't exist) or it determines a new one and thus returns a new image_name. This causes the builder to try and build the image again and then crash because docker doesn't exist.

With when the remote calls .build_image and tries to determine a hash, do you mean remote as in this happens in the task pod?
For me remote is the python client for flyteadmin, maybe this is why I'm confused?

Comment on lines +67 to +78
image_spec.source_root,
] + image_spec.docker_build_extra_args
output_image_params = f"type=image,name={image_spec.image_name()}"
if image_spec.registry:
output_image_params = f"{output_image_params},push=true"
if image_spec.buildkit_build_extra_output:
output_image_params = f"{output_image_params},{image_spec.buildkit_build_extra_output}"
command += [
"--output",
output_image_params,
]
self.execute_command(command)
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As a user, do I put the -t, --tag of docker build into the output_image_params or the buildkit_build_extra_output? I feel this might deserve its own arg.

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Or don't users pass the tag to ImageSpec at all and instead its calculated with calculate_hash_from_image_spec?

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the --tag is set via output_image_params = f"type=image,name={image_spec.image_name()}"
ie via:calculate_hash_from_image_spec

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to be more explicit - the user does not put the tag it is generated. you could add more tags via -t, but not sure how that works with buildx export actions.

@@ -0,0 +1,26 @@
from ghcr.io/flyteorg/flytekit:py3.10-1.10.0
ARG HWARG=EARTH
RUN pip install --no-cache-dir biopython==1.81
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Is this dependency required for the test to work?

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we could use anything. flytekit by default has a ton already installed, so I just picked something that I think would never ever be installed by default hah

builder="docker",
dockerfile=str(DOCKERFILE_DIR / "Dockerfile.biopython"),
source_root=str(DOCKERFILE_DIR),
registry="dancyrusbio",
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Maybe anonymise or use a flyte registry before merging.

Comment on lines +32 to +33
# You cannot use workflow, because it uses the base image and the base image
# does not have flytekit-docker installed
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Could you please explain this limitation, I unfortunately don't understand where it comes from.

Generally, static workflows come with more guarantees than dynamic workflows which is why we shouldn't require users to always use them if they want to use the docker builder.

The workflow doesn't execute in an image at runtime at all meaning that the dependencies that are required to make it run don't have to be installed in the task image but in the environment from which the workflow is registered.

@@ -274,9 +274,9 @@ def test_list_default_arguments(wf_path):
)

ic_result_4 = ImageConfig(
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Question:
Are these tags calculated by calculate_hash_from_image_spec?

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yes, it changed because the interface changed (dockerfile... etc)

builder="docker",
dockerfile=str(dockerfile_path),
source_root=str(dockerfile_path.parent),
docker_build_extra_args=["--build-arg", "HWARRG=WORLD"],
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could we call it build-args here? I think envd can support build args in the future.

name="test-biopython",
builder="docker",
dockerfile=str(dockerfile_path),
source_root=str(dockerfile_path.parent),
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source_root value is added by flytekit while compiling. users don't need to specify it.

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In this current implementation I am using source_root to define the docker build context. I think this implementation is clearly confusing though. When/if we move it to flytekit/core I think we will have separate ImageSpec/ImageSpecBuilders for each builder, and then I won't have to overload arguments like this

registry_config: Specify the path to an envD JSON registry config file

dockerfile: Specify the path to a Dockerfile
buildkit_build_extra_output: Any custom arguments for the docker buildx build --output argument
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I haven't use this before. could you share an example? I think envd has this as well, they use buildkit golang api under the hood.

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btw, It's possible to use buildkit_build_extra_output and build_args, but not dockerfile. Could we raise an exception if people specify the dockerfile when they use envd plugin?

@@ -25,7 +25,7 @@ class ImageSpec:
name: name of the image.
python_version: python version of the image. Use default python in the base image if None.
builder: Type of plugin to build the image. Use envd by default.
source_root: source root of the image.
source_root: source root of the image, or the dockerfile context path.
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Suggested change
source_root: source root of the image, or the dockerfile context path.
source_root: source root of the image, or the build context path.

@@ -25,7 +25,7 @@ class ImageSpec:
name: name of the image.
python_version: python version of the image. Use default python in the base image if None.
builder: Type of plugin to build the image. Use envd by default.
source_root: source root of the image.
source_root: source root of the image, or the dockerfile context path.
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For now, source root is always set by flytekit, and it's the first ancestor from source_path that does not contain a __init__.py file. Do you want to set it by yourself?

ident = self.raw_register(
cp_entity,
settings=settings,
version=version,
version=c_version,
create_default_launchplan=create_default_launchplan,
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yeah, I think workflow and task version will become different

ident = self.raw_register(
cp_entity,
settings=settings,
version=version,
version=c_version,
create_default_launchplan=create_default_launchplan,
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hash is calculated here, we can add the dockerfile to the zip file. Hence, flytekit will register a new version of workflow once you update the dockerfile.

Comment on lines +29 to +31
def build_image(self, image_spec: ImageSpec):
if image_spec.dockerfile is None:
raise RuntimeError("Image spec dockerfile cannot be None")
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Let me fix the dynamic task issue first.

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I fixed it here. #1967

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