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A repository of examples for Elyra (https://github.com/elyra-ai/elyra)

License: Apache License 2.0

Jupyter Notebook 79.59% Python 18.63% Makefile 1.72% Dockerfile 0.06%

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examples's Issues

Add Kubeflow Pipelines example component artifacts

Separate 2.2.x examples from 2.3 examples

Version 2.3 introduces examples that are not compatible with Elyra 2.2.x. We do want to preserve the legacy examples for users who are running one of the 2.2.x legacy versions.

Create new v2.2.x branch
Update README with information how v2.2.x examples can be accessed

Add Pull Request template to repository

See https://github.com/elyra-ai/elyra/blob/master/.github/PULL_REQUEST_TEMPLATE for blueprint

Create a hello world example pipeline tutorial for kubeflow pipelines

Complements #9 and uses the same pipeline

Create a basic pipeline that can be used for validation purposes

As a user I want to be able to run a small pipeline to confirm that

Elyra is set up properly
Runtime configurations are valid
Kubeflow/Apache Airflow is configured properly

In support of those tasks we need publish a ready-to-use pipeline that takes very little time to execute but essentially confirms that the user has a working setup.

Instructions needed to install Kubeflow to run Elyra pipeline examples using Kubeflow

Lint examples

Some of the example artifacts currently fail linting, which triggers warnings if language server support for Python is enabled.

Update inputs of KFP example components to use KFP base types

In KFP v1, any value can be given for the type field of an input. This can be problematic during pipeline compile if parameters are passed to a pipeline. An InconsistentTypeException will be thrown if the type hint of a parameter does not match the type of the input defined in the component YAML.

For example, in the inputs for the Download Data example component, the values of string and URI are given as types for the inputs. While it is clear that these types should be strings, an InconsistentTypeException is thrown during compile for a pipeline with a parameter type-hinted as str in the Python DSL because KFP defines its string type as String with a capital S.

We should update all our example component resources to only use KFP base types so that these components continue to work 'out of the box' when support for pipeline parameters is available in Elyra (elyra-ai/elyra#3001).

Deprecate use of DAX NOAA assets in introductory tutorial pipelines

Considering that the purpose of the introductory Elyra tutorial pipelines is to enable new users to become familiar with pipeline features it shouldn't be necessary to use notebooks that take (in total) several minutes to run. The assets, which were originally introduced for https://github.com/elyra-ai/examples/tree/main/pipelines/dax_noaa_weather_data are currently also used by these pipelines:

The notebooks should be replaced with dummy versions that run in seconds and don't require package prerequisites that might break over time.

Update examples for Elyra 2.0

Some of the examples need to be updated to reflect the changes/additions in Elyra 2.0

Add tutorial for runtime-specific pipelines

to document

conceptual differences (input and output artifacts)
component management

Some prerequisites of running pipeline in a local environment are missing

Desription

When following the Running pipelines in a local environment tutorial to step Running a notebook pipeline locally, a user may see the following error message:

The error details is:

Traceback (most recent call last):
  File "/usr/local/lib/python3.9/site-packages/elyra/pipeline/processor_local.py", line 191, in process
    papermill.execute_notebook(
  File "/usr/local/lib/python3.9/site-packages/papermill/execute.py", line 118, in execute_notebook
    raise_for_execution_errors(nb, output_path)
  File "/usr/local/lib/python3.9/site-packages/papermill/execute.py", line 230, in raise_for_execution_errors
    raise error
papermill.exceptions.PapermillExecutionError: 
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-2-dd0d2a848dc3> in <module>
      1 # Define required imports
----> 2 import pandas as pd
      3 import numpy as np
      4 import sys
      5 import re

ModuleNotFoundError: No module named 'pandas'


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

Traceback (most recent call last):
  File "/usr/local/lib/python3.9/site-packages/elyra/pipeline/processor_local.py", line 74, in process
    operation_processor.process(operation)
  File "/usr/local/lib/python3.9/site-packages/elyra/pipeline/processor_local.py", line 197, in process
    raise RuntimeError(f'Internal error executing {filepath}: {ex}') from ex
RuntimeError: Internal error executing /Users/xuanyu/examples/pipelines/hello_world/Part 1 - Data Cleaning.ipynb: 
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-2-dd0d2a848dc3> in <module>
      1 # Define required imports
----> 2 import pandas as pd
      3 import numpy as np
      4 import sys
      5 import re

ModuleNotFoundError: No module named 'pandas'


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

Traceback (most recent call last):
  File "/usr/local/lib/python3.9/site-packages/tornado/web.py", line 1704, in _execute
    result = await result
  File "/usr/local/lib/python3.9/site-packages/elyra/pipeline/handlers.py", line 89, in post
    response = await PipelineProcessorManager.instance().process(pipeline)
  File "/usr/local/lib/python3.9/site-packages/elyra/pipeline/processor.py", line 70, in process
    res = await asyncio.get_event_loop().run_in_executor(None, processor.process, pipeline)
  File "/usr/local/Cellar/[email protected]/3.9.1_8/Frameworks/Python.framework/Versions/3.9/lib/python3.9/concurrent/futures/thread.py", line 52, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/usr/local/lib/python3.9/site-packages/elyra/pipeline/processor_local.py", line 79, in process
    raise RuntimeError(f'Error processing operation {operation.name}.') from ex
RuntimeError: Error processing operation Part 1 - Data Cleaning.

Possible cause and a potential fix

The reason is that the package pandas was not installed. When we open the notebook Part 1 - Data Cleaning.ipynt, we'll see this screen:

Installing pandas by running pip3 install pandas can resolve this problem.

Suggestion

It is a small thing and can be easily fixed. However, I don't find anywhere in the documentation of installing Elyra or the documentation of Running pipelines in a local environment that says that pandas is one of the prerequites.

So, we may want to tell a user at Prerequisites section that they need to make sure that pandas along with other packages like numpy should be there before running the pipeline.

Reproduce steps

Environment:

macOS Big Sur.
Python 3.9.1

Steps:

install Elyra by running pip install --upgrade "elyra>=2.0.1" && jupyter lab build
following the tutorial: https://github.com/elyra-ai/examples/tree/master/pipelines/hello_world#running-a-notebook-pipeline-locally.
make sure the Runtime Image is Pandas 1.1.1, just like the screenshot from the tutorial
run the pipeline

Add linting for pipeline files

Add a make task that lints .pipeline files to enforce best practices.
Add new task as a dependency for existing lint task

Upgrade all pipeline versions to vNext

vNext requires a migration.

Create example pipeline that illustrates how to visualize output in the Kubeflow Pipelines UI

The pipeline should illustrate the content in https://elyra.readthedocs.io/en/latest/recipes/visualizing-output-in-the-kfp-ui.html and be ready to run.

There is no current event loop in thread 'asyncio_1'

Hello everyone, im new using elyra, when I want to run the load_data.ipynb (https://github.com/elyra-ai/examples/tree/main/pipelines/introduction-to-generic-pipelines ) example I get this error. I am running it on a TLJH (The Littlest JupyterHub) instance, I have had no problems with other extensions.

Traceback (most recent call last):
  File "/opt/tljh/user/lib/python3.9/site-packages/elyra/pipeline/local/processor_local.py", line 228, in process
    papermill.execute_notebook(filepath, filepath, **additional_kwargs)
  File "/opt/tljh/user/lib/python3.9/site-packages/papermill/execute.py", line 113, in execute_notebook
    nb = papermill_engines.execute_notebook_with_engine(
  File "/opt/tljh/user/lib/python3.9/site-packages/papermill/engines.py", line 49, in execute_notebook_with_engine
    return self.get_engine(engine_name).execute_notebook(nb, kernel_name, **kwargs)
  File "/opt/tljh/user/lib/python3.9/site-packages/papermill/engines.py", line 367, in execute_notebook
    cls.execute_managed_notebook(nb_man, kernel_name, log_output=log_output, **kwargs)
  File "/opt/tljh/user/lib/python3.9/site-packages/elyra/pipeline/elyra_engine.py", line 83, in execute_managed_notebook
    return PapermillNotebookClient(nb_man, **final_kwargs).execute(**kernel_kwargs)
  File "/opt/tljh/user/lib/python3.9/site-packages/papermill/clientwrap.py", line 46, in execute
    info_msg = self.wait_for_reply(self.kc.kernel_info())
  File "/opt/tljh/user/lib/python3.9/site-packages/jupyter_client/asynchronous/client.py", line 16, in _
    msg_id = meth(self, *args, **kwargs)
  File "/opt/tljh/user/lib/python3.9/site-packages/jupyter_client/client.py", line 718, in kernel_info
    self.shell_channel.send(msg)
  File "/opt/tljh/user/lib/python3.9/site-packages/jupyter_client/channels.py", line 263, in send
    self.session.send(self.socket, msg)
  File "/opt/tljh/user/lib/python3.9/site-packages/jupyter_client/session.py", line 853, in send
    stream.send_multipart(to_send, copy=copy)
  File "/opt/tljh/user/lib/python3.9/site-packages/zmq/_future.py", line 199, in send_multipart
    return self._add_send_event('send_multipart', msg=msg, kwargs=kwargs)
  File "/opt/tljh/user/lib/python3.9/site-packages/zmq/_future.py", line 354, in _add_send_event
    f = future or self._Future()
  File "/opt/tljh/user/lib/python3.9/asyncio/events.py", line 642, in get_event_loop
    raise RuntimeError('There is no current event loop in thread %r.'
RuntimeError: There is no current event loop in thread 'asyncio_1'.

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

Traceback (most recent call last):
  File "/opt/tljh/user/lib/python3.9/site-packages/elyra/pipeline/local/processor_local.py", line 100, in process
    operation_processor.process(operation, elyra_run_name)
  File "/opt/tljh/user/lib/python3.9/site-packages/elyra/pipeline/local/processor_local.py", line 237, in process
    self.log_and_raise(file_name, ex)
  File "/opt/tljh/user/lib/python3.9/site-packages/elyra/pipeline/local/processor_local.py", line 180, in log_and_raise
    raise RuntimeError(f"({file_name}): {truncated_msg}") from ex
RuntimeError: (load_data.ipynb): There is no current event loop in thread 'asyncio_1'.

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

Traceback (most recent call last):
  File "/opt/tljh/user/lib/python3.9/site-packages/tornado/web.py", line 1713, in _execute
    result = await result
  File "/opt/tljh/user/lib/python3.9/site-packages/elyra/pipeline/handlers.py", line 160, in post
    response = await PipelineProcessorManager.instance().process(pipeline)
  File "/opt/tljh/user/lib/python3.9/site-packages/elyra/pipeline/processor.py", line 166, in process
    res = await asyncio.get_event_loop().run_in_executor(None, processor.process, pipeline)
  File "/opt/tljh/user/lib/python3.9/asyncio/futures.py", line 284, in __await__
    yield self  # This tells Task to wait for completion.
  File "/opt/tljh/user/lib/python3.9/asyncio/tasks.py", line 328, in __wakeup
    future.result()
  File "/opt/tljh/user/lib/python3.9/asyncio/futures.py", line 201, in result
    raise self._exception
  File "/opt/tljh/user/lib/python3.9/concurrent/futures/thread.py", line 52, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/opt/tljh/user/lib/python3.9/site-packages/elyra/pipeline/local/processor_local.py", line 108, in process
    raise RuntimeError(f"Error processing operation {operation.name} {str(ex)}") from ex
RuntimeError: Error processing operation load_data (load_data.ipynb): There is no current event loop in thread 'asyncio_1'.

What can I do to solve it?

this my environment

------- OS ----------------------
NAME="Ubuntu"
VERSION="20.04.5 LTS (Focal Fossa)"

------- Python Version ---------
3.9.7
------- Node JS Version --------
v14.10.0

------- Elyra Version ------------
elyra==3.14.3
elyra-code-snippet-extension==3.14.3
elyra-code-viewer-extension==3.14.3
elyra-examples-kfp-catalog==0.1.0
elyra-pipeline-editor-extension==3.14.3
elyra-python-editor-extension==3.14.3
elyra-server==3.14.3

------- Jupyter --------

jupyter-app-launcher==0.1.5
jupyter_client==7.4.9
jupyter-contrib-core==0.4.0
jupyter_core==5.1.5
jupyter-events==0.6.3
jupyter-lsp==1.5.1
jupyter-nbextensions-configurator==0.6.1
jupyter_packaging==0.12.3
jupyter-resource-usage==0.6.4
jupyter-server==1.23.5
jupyter-server-mathjax==0.2.6
jupyter-server-proxy==3.2.2
jupyter-telemetry==0.1.0
jupyterhub==1.5.1
jupyterlab==3.5.3
jupyterlab-git==0.41.0
jupyterlab-lsp==3.10.2
jupyterlab-pygments==0.2.2
jupyterlab_server==2.19.0
jupyterlab-widgets==1.1.1
nteract-on-jupyter==2.1.3



-------- Server Extensions -------
Config dir: /opt/tljh/user/etc/jupyter
    elyra enabled
    - Validating elyra...
      elyra  OK
    jupyter_lsp enabled
    - Validating jupyter_lsp...
      jupyter_lsp 1.5.1 OK
    jupyter_server_proxy enabled
    - Validating jupyter_server_proxy...
      jupyter_server_proxy  OK
    jupyter_app_launcher enabled
    - Validating jupyter_app_launcher...
      jupyter_app_launcher 0.1.5 OK
    jupyter_resource_usage enabled
    - Validating jupyter_resource_usage...
      jupyter_resource_usage 0.6.4 OK
    jupyter_server_mathjax enabled
    - Validating jupyter_server_mathjax...
      jupyter_server_mathjax  OK
    jupyterlab enabled
    - Validating jupyterlab...
      jupyterlab 3.5.3 OK
    jupyterlab_git enabled
    - Validating jupyterlab_git...
      jupyterlab_git 0.41.0 OK
    nbclassic enabled
    - Validating nbclassic...
      nbclassic 0.4.8 OK
    nbdime enabled
    - Validating nbdime...
      nbdime 3.1.1 OK
    nbgitpuller enabled
    - Validating nbgitpuller...
      nbgitpuller 1.1.1 OK
    notebook_shim enabled
    - Validating notebook_shim...
      notebook_shim  OK

Config dir: /usr/local/etc/jupyter

----------- Lab Extensions -----------

JupyterLab v3.5.3
/opt/tljh/user/share/jupyter/labextensions
        jupyter_app_launcher v0.1.5 enabled OK (python, jupyter_app_launcher)
        jupyterlab_pygments v0.2.2 enabled OK (python, jupyterlab_pygments)
        nbdime-jupyterlab v2.1.1 enabled OK
        @jupyter-widgets/jupyterlab-manager v3.1.1 enabled OK (python, jupyterlab_widgets)
        @jupyterlab/git v0.41.0 enabled OK (python, jupyterlab-git)
        @jupyterlab/server-proxy v3.2.2 enabled OK
        @krassowski/jupyterlab-lsp v3.10.2 enabled OK (python, jupyterlab-lsp)
        @elyra/metadata-extension v3.14.3 enabled OK
        @elyra/theme-extension v3.14.3 enabled OK
        @elyra/scala-editor-extension v3.14.3 enabled OK
        @elyra/python-editor-extension v3.14.3 enabled OK
        @elyra/r-editor-extension v3.14.3 enabled OK
        @elyra/script-debugger-extension v3.14.3 enabled OK
        @elyra/pipeline-editor-extension v3.14.3 enabled OK
        @elyra/code-viewer-extension v3.14.3 enabled OK
        @elyra/code-snippet-extension v3.14.3 enabled OK
        @jupyter-server/resource-usage v0.6.4 enabled OK (python, jupyter-resource-usage)

Other labextensions (built into JupyterLab)
   app dir: /opt/tljh/user/share/jupyter/lab

Thanks for your time

Update MLX component catalog connector to use new repository API

An upcoming release of Kubeflow adds support for [component] registry hosts, which implement an API that clients can use to work with components.
Requires machine-learning-exchange/mlx#331

Create a basic getting started pipeline tutorial

To help novice users we should provide a basic Hello World pipeline example along with instructions. Upon completion of this (5 minutes or less) tutorial, a user will have learned how to

create a new pipeline
add a notebook node
configure a notebook node
connect notebook nodes
run a pipeline locally

Other tutorials, such as Hello Kubeflows Pipelines World, can build on this tutorial, and would cover Kubeflow Pipelines specific tasks, such as configuring a runtime, monitoring a run, etc.

Create Pipeline editor tutorial for Open Data Hub

The tutorial should be similar to https://github.com/elyra-ai/examples/tree/master/pipelines/hello_world_kubeflow_pipelines.

ODH documentation: https://opendatahub.io/docs.html
ODH documentation source: https://gitlab.com/opendatahub/opendatahub.io

Create Apache Airflow tutorial

Similar to the ones we already have for local execution and execution on Kubeflow Pipelines.

DAX NOAA example notebook fails execution

https://github.com/elyra-ai/examples/blob/main/pipelines/dax_noaa_weather_data/Part%202%20-%20Data%20Analysis.ipynb
fails to execute, likely due to changes in an upstream dependency:

D 16:25:40.421]     template_paths: /usr/local/share/jupyter/nbconvert/templates/lab:/usr/local/share/jupyter/nbconvert/templates/base:/root/.local/share/jupyter:/root/.local/share/jupyter/nbconvert/templates:/root/.local/share/jupyter/nbconvert/templates/compatibility:/usr/local/share/jupyter:/usr/local/share/jupyter/nbconvert/templates:/usr/local/share/jupyter/nbconvert/templates/compatibility:/usr/share/jupyter:/usr/share/jupyter/nbconvert/templates:/usr/share/jupyter/nbconvert/templates/compatibility:/usr/local/share/jupyter/nbconvert/templates
[I 16:25:40.722] 'analyze_NOAA_weather_data':'Part 2 - Data Analysis' - Part 2 - Data Analysis-output.ipynb converted to Part 2 - Data Analysis.html (0.857 secs)
[D 16:25:40.767] 
http://cloning1.fyre.ibm.com:30887/
 "PUT /ptitzler-test/analyze_NOAA_weather_data-1003092202/Part%202%20-%20Data%20Analysis.ipynb HTTP/1.1" 200 0
[I 16:25:40.768] 'analyze_NOAA_weather_data':'Part 2 - Data Analysis' - uploaded Part 2 - Data Analysis-output.ipynb to bucket: ptitzler-test object: analyze_NOAA_weather_data-1003092202/Part 2 - Data Analysis.ipynb (0.045 secs)
[D 16:25:40.818] 
http://cloning1.fyre.ibm.com:30887/
 "PUT /ptitzler-test/analyze_NOAA_weather_data-1003092202/Part%202%20-%20Data%20Analysis.html HTTP/1.1" 200 0
[I 16:25:40.818] 'analyze_NOAA_weather_data':'Part 2 - Data Analysis' - uploaded Part 2 - Data Analysis.html to bucket: ptitzler-test object: analyze_NOAA_weather_data-1003092202/Part 2 - Data Analysis.html (0.051 secs)
Traceback (most recent call last):
  File "bootstrapper.py", line 697, in <module>
    main()
  File "bootstrapper.py", line 687, in main
    file_op.execute()
  File "bootstrapper.py", line 367, in execute
    raise ex
  File "bootstrapper.py", line 352, in execute
    papermill.execute_notebook(notebook, notebook_output, kernel_name=kernel_name)
  File "/usr/local/lib/python3.8/site-packages/papermill/execute.py", line 122, in execute_notebook
    raise_for_execution_errors(nb, output_path)
  File "/usr/local/lib/python3.8/site-packages/papermill/execute.py", line 234, in raise_for_execution_errors
    raise error
papermill.exceptions.PapermillExecutionError: 
---------------------------------------------------------------------------
Exception encountered at "In [8]":
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [8], in <cell line: 12>()
     10 # Zoom in on a year and plot temperature data converted to a daily frequency
     11 plt.subplot(1, 2, 2)
---> 12 data['2017'][TEMP_COL].asfreq('D').plot()
     13 plt.title('Daily Temperature in 2017')
     14 plt.ylabel('Temperature (F)')
File /usr/local/lib/python3.8/site-packages/pandas/plotting/_core.py:949, in PlotAccessor.__call__(self, *args, **kwargs)
    946             label_name = label_kw or data.columns
    947             data.columns = label_name
--> 949 return plot_backend.plot(data, kind=kind, **kwargs)
File /usr/local/lib/python3.8/site-packages/pandas/plotting/_matplotlib/__init__.py:61, in plot(data, kind, **kwargs)
     59         kwargs["ax"] = getattr(ax, "left_ax", ax)
     60 plot_obj = PLOT_CLASSES[kind](data, **kwargs)
---> 61 plot_obj.generate()
     62 plot_obj.draw()
     63 return plot_obj.result
File /usr/local/lib/python3.8/site-packages/pandas/plotting/_matplotlib/core.py:274, in MPLPlot.generate(self)
    272 self._add_table()
    273 self._make_legend()
--> 274 self._adorn_subplots()
    276 for ax in self.axes:
    277     self._post_plot_logic_common(ax, self.data)
File /usr/local/lib/python3.8/site-packages/pandas/plotting/_matplotlib/core.py:468, in MPLPlot._adorn_subplots(self)
    466     all_axes = self._get_subplots()
    467     nrows, ncols = self._get_axes_layout()
--> 468     _handle_shared_axes(
    469         axarr=all_axes,
    470         nplots=len(all_axes),
    471         naxes=nrows * ncols,
    472         nrows=nrows,
    473         ncols=ncols,
    474         sharex=self.sharex,
    475         sharey=self.sharey,
    476     )
    478 for ax in self.axes:
    479     if self.yticks is not None:
File /usr/local/lib/python3.8/site-packages/pandas/plotting/_matplotlib/tools.py:331, in _handle_shared_axes(axarr, nplots, naxes, nrows, ncols, sharex, sharey)
    326 if ncols > 1:
    327     for ax in axarr:
    328         # only the first column should get y labels -> set all other to
    329         # off as we only have labels in the first column and we always
    330         # have a subplot there, we can skip the layout test
--> 331         if ax.is_first_col():
    332             continue
    333         if sharey or len(ax.get_shared_y_axes().get_siblings(ax)) > 1:
AttributeError: 'AxesSubplot' object has no attribute 'is_first_col'

This impacts many of the introductory Elyra pipelines: #111

Update tutorials to use pipeline default properties

Details TBD

How to access label and node id in custom component from code/yaml?

Can you please help me to read the component label and the node id from yaml, and pass that as an argument to .py file?

Refresh NOAA_pipeline ...

... to use relative paths pending delivery of elyra-ai/elyra#861

Update "hello world" and "hello world kubeflow pipelines" tutorial to include Python script

To reflect the new support for Python nodes. Since there is no fundamental difference between a notebook node and a Python node it should be sufficient to

add a Python script to both tutorials that can be used as an optional drop-in replacement for the existing notebook node that downloads the data set
apply minor updates to the content to reflect the new option when creating a pipeline

Requires Elyra 1.2

Add Hello World pipeline tutorial to Binder getting started tour

Follow-up to #9. If a user launches binder the pipelines tutorial artifacts should be included by default, eliminating the need to download them from https://github.com/elyra-ai/examples/.

More examples needed for LOCAL file-based pipelines using Elyra Pipeline manager

Can Elyra users please gather and link in more examples of how to use for LOCAL-ONLY file-based pipelines using Elyra Pipeline manager?

The examples in this repo really emphasize Kubernetes and Airflow cloud-based applications.

However, Elyra is more general than cloud-only based visual pipeline management.

More LOCAL-ONLY examples will be very helpful.

Thank you.

Elyra binder getting starting document is out of date

In a couple of the screenshots in the getting_started.md file of Elyra, the screenshots / instructions are out of date. (below is one example - doesn't include adding / editing of code snippets)

Refresh local, KFP and AA hello world tutorials for vNext

The tutorials cover only generic pipelines

elyra-ai / examples Goto Github PK

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