Latest Contributions by Kara_Shindle

I learned how to do this a specific way, which is what I am describing.  I'm sure someone can come up with a much better way then me, but here is what I have.   First, I have a function set up in a separate file called my "Worker".  This is the function that will get passed to my pool of workers.  This particular function is for creating a one page PDF based off of a map series of parcels.  I used this function in lots of other scripts.       import os, sys import arcpy arcpy.env.overwriteOutput = True #(Path to your MXD, Path you want the document to be extracted to, name of the page used in the map series) def publicWorker(mxdPath, outFolder, name): """ This is the function that gets called and does the work of exporting the DDP for the UPI specified. Note that this function does not try to write to arcpy.AddMessage() as nothing is ever displayed. If the cexport succeeds then it returns TRUE else FALSE. """ try: mxdFile = arcpy.mp.ArcGISProject(mxdPath) cleanName = name.replace("/", "_") #Removes the slash due to it being an escape character l = mxdFile.listLayouts()[0] if not l.mapSeries is None: ms = l.mapSeries if ms.enabled: ms.currentPageNumber = ms.getPageNumberFromName(name) file = os.path.join(outFolder, cleanName) ms.exportToPDF(file, "CURRENT", resolution=300) ms.refresh() del mxdFile return True except arcpy.ExecuteError: # Geoprocessor threw an error arcpy.AddError(arcpy.GetMessages(2)) report.write("Execute Error:", arcpy.ExecuteError) except Exception as e: tb = sys.exc_info()[2] report.write("Failed at Line %i \n" % tb.tb_lineno) report.write("Error: {} \n".format(e)) return False         Then I have the main multiprocessing script that creates the pool of workers and assigns them my tasks. Here is a portion of the code - Before line 8, my code creates a list of the variables called 'idList' from a feature class that has all of the parcels that were edited and need their PDFs updated.  That list is used to create the jobs for the worker pool.       import arcpy import multiprocessing from PublicWorker import publicWorker mxdPath = outFolder = def createmaps_handler(): jobs = [] for name in idList: jobs.append((mxdPath,outFolder,name)) arcpy.AddMessage("Public job list has " + str(len(jobs)) + " elements.") # Create and run multiprocessing pool. multiprocessing.set_executable(*installpath*, 'pythonw.exe')) # make sure Python environment is used for running processes, even when this is run as a script tool arcpy.AddMessage("Sending to pool") cpuNum = multiprocessing.cpu_count() # determine number of cores to use print("there are: " + str(cpuNum) + " cpu cores on this machine") with multiprocessing.Pool(processes=cpuNum) as pool: res = pool.starmap(publicWorker, jobs) # run jobs in job list; res is a list with return values of the worker function pool.close() pool.join() # If an error has occurred report it # count how many times False appears in the list with the return values failed = res.count(False) # count how many times False appears in the list with the return values if failed > 0: arcpy.AddError("{} workers failed!".format(failed)) 1)) #makes sure code of the if-statement only executed for main process we start by running script, not the suprocesses created when using multiprocessing in this file except arcpy.ExecuteError: # Geoprocessor threw an error arcpy.AddError(arcpy.GetMessages(2)) print("Execute Error:", arcpy.ExecuteError) except Exception as e: # Capture all other errors arcpy.AddError(str(e)) print("Exception:", e) if __name__ == '__main__': createmaps_handler()         Eventually, I'd like to improve the error reporting in this, if possible, and I also have been working on a section for reporting how long it takes to run a batch of jobs.  Hope this helps!  A lot of this was adapted from lessons I learned during the class I have listed above.     ... View more

@B-L multiprocessing is a specific-use kind of thing - but you basically take lots of tasks and divide them up to run on multiple processors at one time.  In my case, I use them to generate and stitch together several thousand PDFs of parcels based off of several map series every night.   Googling multiprocessing will get you lots of information, here is one: Multiprocessing Penn State University geography dept puts some of their classes online, but I had the privilege of taking this course, and the Lesson 1.6.3.2 material on Multiprocessing &GIS is worth a read.  They also provide a list of resources at the end. ... View more

We started with a 12 hour hour script that was designed for once a month but needed to be done nightly.  I shaved 5 hours of by moving some date conversion to the SQL side.  I also reviewed all of it and found ways to use multiprocessing.  We generate a few thousand PDFs nightly with map series and multiprocessing makes that possible in less then 5 hours usually.  I'm also planning to implement some attribute rules that will shave some time off of the script as well.  I'd recommend a review of everything to make sure it is al still necessary.   I would also recommend against the Pro model shift.  It's  a lateral move - our original model broke ArcMap model Builder and they told me it had to be moved to Python.  Upgrading the script from 2.7 to 3.x also helped with some speed issues.  I'm planning to move to at least one service like suggested up above myself. ... View more

So I'm seeing a TypeError: in the developer tools that says "Cannot read properties of undefined (reading 'containerNode') and it's referencing the NearMe widget.  This was after I tried entering credentials when it prompted and it still failed.  Maybe I've not got the correct URL for the routing service in my item? ... View more

@JakeSkinner  that is the Routing item I created - I just checked the URL again - and it is set to be shared with everyone.   ... View more