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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
This idea has arisen from a conversation with a colleague @Carlithian where we were trying to work out a way to remove tools from the canvas which might be redundant, for example have you added a select tool to the canvas which hasn't been configured to change a data type or rename a field. So we were looking for ways of identifying in the workflow xml for tools which didn't have a configuration applied to them.
This highlighted to me an issue with something like the data cleanse tool, which is a standard macro.
The xml view of the data cleanse configuration looks like this:
<Configuration>
<Value name="Check Box (135)">False</Value>
<Value name="Check Box (136)">False</Value>
<Value name="List Box (11)">""</Value>
<Value name="Check Box (84)">False</Value>
<Value name="Check Box (117)">False</Value>
<Value name="Check Box (15)">False</Value>
<Value name="Check Box (109)">False</Value>
<Value name="Check Box (122)">False</Value>
<Value name="Check Box (53)">False</Value>
<Value name="Check Box (58)">False</Value>
<Value name="Check Box (70)">False</Value>
<Value name="Check Box (77)">False</Value>
<Value name="Drop Down (81)">upper</Value>
</Configuration>
As it is a macro, the default labelling of the drop downs is specified in the xml, if you were to do something useful with it wouldn't it be much nicer if the interface tools were named properly - such as:
So when you look at the xml of the workflow it's clearer to the user what is actually specified.
In short:
Add an option to cache the metadata for a particular tool so that it doesn't forget when using tool that have dynamic metadata such as batch macros or alteryx metadata engine can't resolve such as python tool.
Longer explanation:
The Problem:
One of the issues I often encounter when making dynamic workflows or ones that require calling external services is that Alteryx often forgets the metadata of what columns to expect. This causes the workflow to forget configuration of downstream tools when a workflow is first opened or when the metadata engine refreshes. There is currently the option to disable the metadata engine from automatically refreshing but this isn't a good option because you miss out on much of the value it brings.
Some of the common tools where I encounter this issue:
Solution:
Instead could we add an option to cache the metadata for a particular tool, this would save the metadata from the last time the workflow ran to within the workflows XML so that it persists when closed and reopened. Then when the metadata engine runs when it gets to this tool instead of resolving the metadata from the tool it instead uses the saved version in the XML. Obviously when it actually runs it would ignore this and any errors would still occur.
This could be an option in navigation pane of each tool. Mockup below:
This would make developing dynamic workflows far easier and resolve issues of configuration being lost when the metadata changes and alteryx forgets the options.
Here's a reason to get excited about amp! Create a runtime setting that gets Alteryx working even faster.
when you configure a file input you see 100 records. Imagine the delight that after you run your workflows all input tools are automatically cached. You run so much faster.
now think of the absolute delight that even before you run the workflows that a configured input tool causes a background read off the input data. Whether it is a new workflow or an opened existing flow that reading can start ahead of the time button.
what do you think 🤔?
When developing and/or troubleshooting workflows, I frequently disable the outputs using the checkbox in the Runtime configuration settings to speed up the workflow and prevent sending emails and/or overwriting data in the output sources... however, 9/10 times I forget to turn off this checkbox when I save my workflow back up to the Gallery. This results in countless emails from users to the tune of "I ran the workflow successfully, but there was no output?" 🙂
Would love love love to see some sort of warning notification (similar to the ones that already shown for data sources etc.) when saving to the Gallery if the "Disable All Tools that Write Output" option is selected in the Runtime settings.
Thank you!!
NJ
Can we have a User Setting that allows the users to select if Alteryx should prevent the computer to go into Sleep or Hibernate mode when running a workflow?
Similar to https://community.alteryx.com/t5/Alteryx-Designer-Ideas/Custom-Functions-in-AMP/idc-p/845446#M16381, it would be great to have AMP allow for custom C++ functions. Custom XML functions were added in 21.1 for AMP, so custom C++ functions would be the natural next step!
cc: @jdunkerley79 @TonyaS
Limit conversion warning allows for a minimum of 1 message. Can we set the minimum to 0 to completely ignore the message?
Perhaps we can allow warning messages a similar function as ERROR messages and allow the designer to Ignore, Warn or Cancel?
ConvError: Imputation (441): Tool #104: No demand: 0.200000000000031 had more precision than a double. Some precision was lost.
ConvError: Summarize (456): Data: 0.360000000004675 had more precision than a double. Some precision was lost.
End: Designer x64: Finished running FP Model - Marquee Crew v3.yxmd in 32.3 seconds with 16 field conversion errors and 4 warnings
Thanks,
Mark
Can we have an option to disable all tool containers at once? Similar to disable all browse tools or tools that write output.
Hi
I'm really missing a search in the medata phane?
If I am on data phane:
If im browsing though metadata:
Can we have an option to save a workflow in a prior version for backward compatibility? I think Tableau offers this functionality.
Example:
If I have 2019.4.8 and a colleague has 2019.1.x, I cannot share my workflows because my colleague will receive a notice that the workflow was built in a newer version. I want to be able to save my workflow in 2019.1.x and send to my colleague.
This is predicated on the workflow not containing any tools/features not present in the older version. In that case, give me a warning about the specific tools/features that are not backward compatible. Thank you.
The original engine support expanding the formula tool with custom functions either in XML or C++. The new AMP doesn't support these yet.
There is a fair number of user who are using these in E1 and would be good to have this available in AMP
In order to run a canvas using either AMP or E1 - the user has to perform at least 5 operations which are not obvious to the user.
a) click on whitespace for the canvas to get to the workflow configuration. If this configuration pane is not docked - then you have to first enable this
b) set focus in this window
c) change to the runtime tab
d) scroll down past all the confusing and technical things that most end users are nervous to touch like "Memory limits" and temporary file location and code page settings - to click on the last option for the AMP engine.
e) and then hit the run button
A better way!
Could we instead simplify this and just put a drop-down on the run button so that you can run with the old engine, or run with the new engine? Or even better, have 2 run buttons - run with old engine, and run with super-fast cool new engine?
cc: @TonyaS
CI / CD is critical to any production level process, especially when multiple authors are contributing new features to the same workflow. Currently, multi-author editing of workflows is extremely difficult, and something that would be aided greatly by using git to control different branches of ongoing work. Luckily, that's something we can already do today! However, the ability to test before merging a pull request is critical to modern CI / CD pipelines. For this, it we need to be able to run a headless workflow from a CI / CD environment. Also, having the ability to pass in parameters to the workflow would allow for robust integration testing - something that isn't straightforward today without running on production environments.
When I proceed with this command in a python tool:
from ayx import Package
Package.installPackages(package='pandas',install_type='install --upgrade')
in Alteryx it only updates to 0.25, but the Latest version is 1.1.2.
When I would like to upgrade from the Python side i get the following:
ERROR: ayx 1.0.54 has requirement pandas<0.25.0,>=0.24.2, but you'll have pandas 1.1.2 which is incompatible.
Can you please make sure we can upgrade to the latest version of pandas without any compatibility issue?
This is important because of json_normalize. Really useful tool, available from pandas 1.0.3!
In some of our larger workflows it's sometime tedious to run a workflow in order to see some data, when adding something in the beginning of the workflow. Running und stopping it as soon as the tools gets a green border is sometimes an option.
It would be convenient to have an option in the context menu to run a workflow only until a specific tool.
In effect, only this specific tool has an output visible for inspection and only the streams necessary for this tool have been run - everything else is ignored and I'm fine to not see data for the other tools.
This would speed up the development of small parts in a larger workflow much more convenient.
Regards
Christopher
PS: Yes, I can put everything else in a container and deactivate it. But a straight forward way without turning containers on and off would be preferable in my opinion. (I think KNIME as something similar.)
When using the Sharepoint Output tool - we have seen a few situations (which are widely reported in the designer discussions thread) where the write to sharepoint fails, but no error is raised.
This often happens because of mismatch in data types, but we've also seen this for other reasons (e.g. we had this once due to column ordering). In the worst case - this can end up with the sharepoint list being emptied out if the write fails on the first item, again with no error indicator.
The Sharepoint Input and Output are very widely used as a way of giving users a very simple UI to input data that can flow into an Alteryx Canvas - so this is a very commonly used pattern in our environment.
Could we request that the Sharepoint output tool be changed to include explicit errors and warnings on write, so that the user has a guarantee that either the write took place or there was an error to reflect the issue?
Thank you.
Currently in 2020.2 (but I assume all versions), when you have a workflow running and click on the Tool Name/ID (1 - in the picture below) in the results window it is then not possible to click on the canvas OR get back to the messages for the full workflow as it is then locked to that tool.
The idea is that it should be possible to get back to all of the workflow messages if you click on a tool name in the results window whilst the workflow is running.
However, a neat little tip that I found is if you click on the input, output or browse hyperlink (2 in the picture below), it will open a pop-out browse rather than show the data in the results window, meaning you can still see all of the messages)
This leads me to think that it could and should be possible to see browse anywhere data whilst the workflow is running if this is fixed. Here's a separate idea for that.
We are working on building out training content in a story mode and would like to have short snippets playing in a loop for people to see embedded in the workflow. Currently you can add a .gif to a comment background and it will provide a still image on the worklfow itself but functions as a gif in the configuration display. The interesting part is when you are running the workflow the .gif works and then it pauses it when the workflow has completed!
Hey @apolly
You and the team have been doing a lot of innovative changes to the results window for data.
Could I ask for an uplift to the results window for Workflow Messages?
Summary: Error messages in the workflow results window cannot be fully viewed - have to be copied into Notepad and then reformatted before you can read.
Request: Allow user to double-click to see full readable version of a workflow result message
Detail:
If you have an error message in a workflow result - it gives you a message that is often longer than the window allows and there is no cell-viewer option
As a result, there is really no way to get to the important part of the error message to understand what's going on, other than to use Notepad
Step 1: Copy into Notepad
(you can see the end of line characters being misunderstood)
Step 2: Manually clean this up by breaking on the line breaks
And now you can see the important part of the result message..
Could we rather add the ability to double-click on a result message in the result window and bring up a modal window that formats the error message for you (similar to the modal window used for XML editing of a tool). That would eliminate this entire wasteful effort of trying to read an error message and having to use Notepad?
Hi,
I would like to see Global Variable being made available in Alteryx. I have seen the Global Constant being made available under Workflow "User" configuration. But this is constant and needs to be defined at Design time.
How about a Process Id that needs to be auto genearted and the same needs to be available across the formula tools used with in the workflow.
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