Latest Contributions by EricEagle

Michael, thanks, found the how-to for that.  It'll work, sort of. I still consider this insufficient, because whenever one wants to add an enduring connection, one cannot merely add it, but has to reload and resave a separate template project, re-distribute it to a team, etc.  I feel like the move away from the catalog workflow was sort of developed and decided upon in a vacuum.  I hope some aspects of Catalog make a comeback in future point releases, and that this is just Esri's version of Windows 8's Metro interface. ... View more

Great! Thanks Luke! ... View more

Joshua, yes, that's correct.  It looks like this: with arcpy.da.InsertCursor(pointFC, ['SHAPE@XY'] + fields) as prows:     for feature in geojson['features']:     geom = arcpy.AsShape(feature['geometry'], False)     if geom.type == 'point':         prows.insertRow([geom] + feature['properties'] for f in fields]) using the SHAPE@ token for line/poly types after that, etc.. ... View more

Joshua, Unfortunately the service is not public.  However I can give you an idea of the payload.  It looks like this: { "type":"FeatureCollection", "totalFeatures":4000000, "features":     [     {     "type":"Feature",     "id":(guid here)     "geometry":         {         "type":"Point",         "coordinates":[10.0000000000,11.0000000000]         } ... and for "LineString" type, it reads         "coordinates":[[10.0000000000,11.0000000000],[12.0000000000,13.0000000000],etc....] So in every. single. list item, I need to swap the lat/lons. I am barely getting out of novice python and am not very savvy when it comes to this.  I am of course interested in doing this in the least costly way, so doing this prior to saving it as a series of feature classes is fine; I just figured there may be something very brief built into arcpy that might do this without much glue on an extant feature class. If this is not the case I'm looking for help either with a snippet of code or even pseudocode to help me think through the mechanics. It should be mentioned that currently I am ingesting this content as a .json file and then writing feature classes out of it.  This content represents millions of rows, so I am not sure what would be quicker - opening an existing feature class, or re-writing the text document.  Of course I am totally open to being shown better ways to do this! ... View more

Joshua, sorry for the lateness of this reply but I figured I'd chime in and close the loop for anyone who may stumble on this question later. The way I fixed this was to basically check for file geodatabases first, feature datasets second, and feature classes last, extracting each to their own list.  It is certainly inelegant but it gives me reliable results.  So it looks a bit like... gdbList = [] fdList = [] for paths, subdirs, names in os.walk(workingPath):     for subdir in subdirs:         if subdir[-4:] == '.gdb':             gdbName = os.path.join(paths, subdir)             gdbList.append(gdbName) for fgdb in gdbList:     walk = arcpy.da.Walk(fgdb, datatype="FeatureDataset")         for fd in walk:             if fd[0][-4:] not in '.gdb':                 fdList.append(fd[0]) Basically I'm building lists through brute-force string checking. ... View more

Sorry Joshua, I mis-typed there - I edited my response to make it more accurate.  My issue is that even though I have da.Walk limited to a datatype="FeatureDataset", it doesn't list only feature datasets.  It lists folders, geodatabases, AND feature datasets. ... View more

The problem with this is that each file geodatabase is in its own subdirectory.  So when I use da.Walk and list dirs, it lists OS subdirectories and geodatabases in the results alongside the feature datasets.  Please see my updated code and the updated output I've listed.  At this point I'm just trying to figure out how to do copy management given the tuples I'm being returned. ... View more

Joshua, Yeah, so I'm actually using this in Spyder outside of ArcMap, just calling arcpy as another library so the python3 print statements work fine. I've updated the code a bit further to this: folder = "C:\\Temp\\Extracted" gdbList = [] for paths, subdirs, names in os.walk(folder):     for subdir in subdirs:         for name in subdirs:             if name.endswith(".gdb"):                 fullName = os.path.join(paths, name)                 gdbList.append(fullName)                 print("Appended {} to gdbList".format(fullName)) else:     fdList = []     for fgdb in gdbList:         walk = arcpy.da.Walk(fgdb, datatype="FeatureDataset")         for fd in walk:             fdList.append(fd)         else:             print(fdList)‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ The problem now is that the feature dataset list (fdList) contains the full path including the geodatabase in the following format returned in a list of tuples.  The way they are formatted is as follows: [(u'C:\\Temp\\Extracted\\dir1\\geodatabase01.gdb', [u'Water_Network'], []), (u'C:\\Temp\\Extracted\\dir1\\geodatabase01.gdb\\Water_Network', [], []), (u'C:\\Temp\\Extracted\\dir2\\geodatabase02.gdb', [u'Electric_Network'], []), (u'C:\\Temp\\Extracted\\dir2\\geodatabase02.gdb\\Electric_Network', [], []), (and so on.....) Again what I'm trying to do is to isolate the feature dataset here and use arcpy copy management to copy it all into a consolidated file geodatabase.  I feel like I'm close but missing some glue here, because I can't iterate the copy_management through the fdList object yet. (edited for a more thorough example of the output) ... View more

Greg, yeah, it worked fine.  Calling arcpy from anaconda worked just fine.  However, when anaconda was registered as my default interpreter and included in my path, it broke a number of spatial statistics routines. What i've done in the meanwhile is uninstalled everything, reinstalled, and installed Anaconda without making it the default interpreter.  I'm using a script from here: GitHub - JamesRamm/archook: Searches the system for arcgis and makes arcpy available to python (regardless of pythonpath… to basically go out and look for arcpy on each run. ... View more