TopBI | Business intelligence for software development by python | Business library
kandi X-RAY | TopBI Summary
kandi X-RAY | TopBI Summary
Business intelligence for software development by python.
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Top functions reviewed by kandi - BETA
- Provide extra information about the error report
- Return a list of available modules
- Return a new dict with only the keys in ignore
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QUESTION
I have the code below and it allows a user to upload an excel, rename the columns, and then do some quick analysis around top terms, etc (the first column MUST be named 'Comments').
What is happening is that when I upload my file > rename my first column > then click on the quick analysis, it runs the code 4 times so it's constantly refreshing. I removed the other 3 tables I have in there to make it easier. I'm thinking I need to isolate()
function somewhere, but I'm not sure.
ANSWER
Answered 2020-Dec-18 at 15:31Your reactivity graph has too many edges, among other things.
(Symbols borrowed from https://shiny.rstudio.com/articles/reactivity-overview.html)
For starters, DataRename
depends on dataa()
and input$file
, but dataa
already depends on input$file
. So whenever input$file
changes, both dataa
and DataRename
fire. Once dataa
fires, then it triggers DataRename
again. If you must have input$file
in DataRename
, then use isolate(input$file)
there.
Further, DataRename
looks at everything within input$
, so ... whenever anything is updated in any input anywhere, DataRename
is triggered. Therefore, everything downstream of DataRename
is also triggered, even if unnecessarily.
dm
also has a redundant dependency with corp
and DataRename
, where corp
already depends on DataRename
.
Another minor concern is that numComments
references df
, but I cannot find where it is defined in its view. Check to make sure you are not reaching out to the calling environment and finding a df
hanging around. (If so, then this app may work locally but will fail when deployed.)
Possible fixes, untested:
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Install TopBI
You can use TopBI like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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