So they had to build in some support for tracking the lineage of data sources, processing the data frames, and then storing that data in a table-all while still allowing your standard tests, configurations, and documentation to exist for these new models. However, dbt couldn’t just simply build and add Python support, they had to make sure that the DAG lineage could remain intact for any of these Python models. It was probably an easy decision when you consider how accessible and popular Python is compared to the likes of R and Scala. So dbt began looking at the various data languages and settled on Python to be the next language to implement that could handle these edge cases. While SQL is able to lift the load of the vast majority of use cases for data transformations, edge cases (such as very complex statistics) have begun to pop up that are either very difficult or unsolvable with just SQL.
So why did they add Python support to dbt?ĭbt is striving to be an active participant in the modern data ecosystem as it changes. With the belief that SQL would provide the most effective and accessible way to build modular, well-tested, and well-documented data transformations with business logic. import arcpyĪrcpy.AddToolbox("C:\Temp\PreProcesses.Dbt was originally built to be SQL first and only.
Python model builder code#
Made slight spelling change to ".Preprocesses" in the code, I include the code as I entered it for this error message. Did you create a parameter for the script tool? It's not enough to write code that accepts a parameter you need to actually define them in the properties of the tool so they expose as inputs to the tool in modelbuilder.Īrcpy.AddToolbox("C:/Temp/PreProcess.tbx")Įlif (AuxNum = See error in image below. Looking at your screen shots your parameter feeding into the script has a dotted line, that indicates a precondition and not a parameter feeding into the script tool. Now you are testing if your text variable is equal to the text so I spoofed up your scenario and it worked for me. You need to adjust your code to this: (AuxNum = '1') You then test the TEXT variable with AuxNum is 1, is your TEXT a number.no! You then test if your TEXT variable is another number.which again is no! and thus nothing happens. Your code returns the parameter value as a TEXT. I believe the issue is to do with how you are testing the variable AuxNum. Here is a screenshot of the results of the script model. The model completes with no errors or warnings and shows that the input value is 1. Issue: when I run the Python script the model does not open in the Geoprocessing window. py are all located in C:\TempĪrcpy.AddToolbox("C:/Temp/PreProcesses.tbx") Models and python script are inside PreProcesses.tbx In the DecideAuxLayer tool in the above model layout, I have the following Python code, (spoiler alert!! I'm not a coder). Here is the layout of the first user input model. I want the python code to open the second model in the Geoprocessing window to allow the user to input parameters. Prior to the chosen model running, the user needs to be able to input parameter values prior to the model running. If the user input value is 1 then a specific model runs, if the user input is 2 then a different model runs, and so on.
I want the user to be able to input a number between 1-4 (AuxNum).
I have a very simple Modelbuilder model (ArcGIS Pro, v2.6) that has a parameter for user input asking how many input feature classes to include (in a later model).
I receive the same results as described in my original post, here. I updated the code in the script below per suggestion.
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