Shape the future of FME with your ideas
Open ideas have been reviewed by our Product Management and are open for commenting and voting.
The JSONUpdater would benefit from having the standard set of attribute accumulation mode parameters to allow attributes from the Update features to be included on the output Document feature.
Based on this question I need to be able to run different workspaces as a result of an email to a single email address.At this moment FME Server 2017 does not allow multiple Email publications with the same email address (but with different Subject filters).Allowing more than one Email publication with the same email address would allow easy filtering based on the Subject line to trigger different topic and so different subscriptions.It can be done by introducing an additional layer of workspaces, using FMEServerNotifier transfomers, but that makes the workflow more complex.So I would like to be able to have multiple publications looking at the same email address.
I've inherited an old 2015 FME Server with 60-100 workspaces spread over 20 folders. The server hasn't been maintained.We want to set up a new folder structure to use the server before we start to deal with the legacy content. However it is difficult to differentiate our new content from what is there already.I would love to be able to drag and drop the existing workspaces into other folders on the FME Server without having to republish, with all the scheduling remaining in place. It would really help us deal with the legacy content on the server, some of which we will have to continue to maintain.
We have lots of best practices for Desktop/Authoring but not on how to set up Server. Like naming convention suggestions, security suggestions, etc. How do you best structure a server installation.
Complementary to the StatisticsCalculator transformer, wouldn't it be great to have a separate FME transformer that emulates Excel's Regression function. In this case, esp. for spreadsheet lovers, we don't need to do an additional step of first writing our results into Excel then separately do Data --> Data Analysis --> Regression, in Excel.Possible features for the proposed RegressionAnalysis transformer include Linear Regression and Multi-Variate Multiple Regression. Well if it's too much of an ask, we could perhaps start with Linear Regression functionality... :-)However, if this functionality is already available in 2016.1 or in any planned future releases (BTW I'm still using 2014), please treat this post as a question rather than a suggested new idea. Otherwise, please let me know if this is possible at all.Thanks,Wilfredo de Vera, P.Eng.Data Specialist
Once again, there's a need to read an old raster format to extract data. This time it's DjVu which has been up for discussion before: https://knowledge.safe.com/questions/83571/djvu-file-format.htmlThe solution now is to use ImageMagick (see this idea: https://knowledge.safe.com/content/idea/97094/incorporate-imagemagick-in-to-fme.html)But I suggest that FME should read DjVu native.
Every day I use the featureMerger a lot and actualy most of the attributes of the Requestor and Supplier are the same... Why isn't there an automatic join?
***Note from Migration:*** Original Title was: XML/GML : Generate subelements through xml_parent_i, xml_id attributes without xsd It would be nice if we could create sub elements in xml/gml writers without xsd, just by giving the right xml_id xml_parent_id attributes for different feature types without the need for complex list, aggregates or xmltemplater.
When using GroupBy it would be nice to have a counter for this transformer.If there is a GroupBy on the Counter that could be another option.
Add numpy and scipy to FME's python and support for treating raster features as numpy arrays in PythonCaller. Numpy and Scipy include a whole host of tools that are really useful and powerful for handling mainly raster data and to a lesser extent point data. I would love if it was easy to use these tools to manipulate features in a PythonCaller
It would be really helpful if the writes which had the 'Move to Local Coordinate System' had the option to only offset the data (preserve scale and rotation).Alternatively it would be nice to have an option in the Offsetter/3DRotator/Scaler/3DAffiner to not add a Transformation Matrix but actually perform the offset on the coordinates.The desired result is a robust (and easy) method to place a model centered on the origin (0,0) with preserved scale and rotation without a Transformation Matrix in the output data.Here are some more details on why having this would be useful: https://knowledge.safe.com/questions/98552/move-to-local-coordinate-system.html
When a single parameter is selected, right-clicking will give you the option to convert from a public to a private parameter and vice versa. But that option is not available if multiple parameters are selected.
When using FeatureReader, often need to be exposed to some of the properties, can be use [Attribute to Expose] to specify the Attribute names. But must be manually enter the attribute name, if add an Import function (eg.AttributeExposed's Import function),I think it can more convenient to use.
Could you include S3 bucket creation/billing through FME Cloud account? This would avoid to create an AWS account for some small project.
Several of the calls in the FME Cloud API require the numeric ID of the instance I want to interact with. The first place I usually look for this is in the FME Cloud console, but it's not listed there. Could the ID be added somewhere in there to make it easier to find?
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