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Creating features from JSON without writing to disk first using ArcPy?

.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;

2

In ArcPy, I want to use JSONToFeatures_conversion, but I'm working with data that I pulled from a web service. I have no need to save the data to disk. So, I thought I could do something like this:

fd = StringIO.StringIO(<my JSON string>)
arcpy.JSONToFeatures_conversion(fd, 'in_memory\output')

arcpy definitely doesn't like that though. I'm considering using the tempfile module, but that's not an ideal solution for this. Temp files aren't really a good solution for this because of a few factors, from environmental constraints (permissions in some of the environments where it may run) to the size of the datasets (IO overhead).

doing this:

fs = arcpy.FeatureSet()
fs.load(<url to service>)

Isn't exactly ideal either because the dataset is composed of data from a couple sources, with different attributes that have to be reconciled.

Ultimately, the product of this operation will be passed in to arcpy.SelectLayerByLocation_management as the select_features parameter

Environment: ArcGIS 10.x (multiple machines running slightly different versions, but none of it's ArcPro, hence all Python2 not Python3)

arcpy json

share|improve this question

edited Apr 12 at 6:38

PolyGeo♦

54.1k1782246

asked Apr 11 at 21:50

Charlie ElversonCharlie Elverson

183

• 
  
  
  

  
  3
  

  
  
  
  
  
  

  
  
  The in_memory object is a table emulator; it does not support files. Creating temp files/folders in a GP service is trivial, and Server will clean them up after the process finishes execution.
  
  – Vince
  Apr 11 at 22:24
  
  

  
  
  
  


• 
  
  
  

  
  2
  

  
  
  
  
  
  

  
  
  You could also have a look at arcpy.AsShape, but it only supports individual geometries, not features or feature collections, i.e. "type": "PointLineOrPolygon", "coordinates": [etc...]
  
  – user2856
  Apr 11 at 23:16
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Thanks, but temp files really aren't ideal for this. I tried arcpy.AsShape, but the output is a featureset, and can't be passed into later processing tools such as arcpy.SelectLayerByLocation_management
  
  – Charlie Elverson
  Apr 11 at 23:55
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Does copy features work on feature set?
  
  – FelixIP
  Apr 12 at 0:36
  

  
  
  
  


• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  AsShape returns a geometry object and you can use CopyFeatures on a list of geometries. Or if you have other info in the json aside from the coordinates then store those that a separate list and use a cursor to insert them into a feature class
  
  – mikewatt
  Apr 12 at 0:44
  

  
  
  
  

 | 
show 2 more comments

2

In ArcPy, I want to use JSONToFeatures_conversion, but I'm working with data that I pulled from a web service. I have no need to save the data to disk. So, I thought I could do something like this:

fd = StringIO.StringIO(<my JSON string>)
arcpy.JSONToFeatures_conversion(fd, 'in_memory\output')

arcpy definitely doesn't like that though. I'm considering using the tempfile module, but that's not an ideal solution for this. Temp files aren't really a good solution for this because of a few factors, from environmental constraints (permissions in some of the environments where it may run) to the size of the datasets (IO overhead).

doing this:

fs = arcpy.FeatureSet()
fs.load(<url to service>)

Isn't exactly ideal either because the dataset is composed of data from a couple sources, with different attributes that have to be reconciled.

Ultimately, the product of this operation will be passed in to arcpy.SelectLayerByLocation_management as the select_features parameter

Environment: ArcGIS 10.x (multiple machines running slightly different versions, but none of it's ArcPro, hence all Python2 not Python3)

arcpy json

share|improve this question

edited Apr 12 at 6:38

PolyGeo♦

54.1k1782246

asked Apr 11 at 21:50

Charlie ElversonCharlie Elverson

183

• 
  
  
  

  
  3
  

  
  
  
  
  
  

  
  
  The in_memory object is a table emulator; it does not support files. Creating temp files/folders in a GP service is trivial, and Server will clean them up after the process finishes execution.
  
  – Vince
  Apr 11 at 22:24
  
  

  
  
  
  


• 
  
  
  

  
  2
  

  
  
  
  
  
  

  
  
  You could also have a look at arcpy.AsShape, but it only supports individual geometries, not features or feature collections, i.e. "type": "PointLineOrPolygon", "coordinates": [etc...]
  
  – user2856
  Apr 11 at 23:16
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Thanks, but temp files really aren't ideal for this. I tried arcpy.AsShape, but the output is a featureset, and can't be passed into later processing tools such as arcpy.SelectLayerByLocation_management
  
  – Charlie Elverson
  Apr 11 at 23:55
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Does copy features work on feature set?
  
  – FelixIP
  Apr 12 at 0:36
  

  
  
  
  


• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  AsShape returns a geometry object and you can use CopyFeatures on a list of geometries. Or if you have other info in the json aside from the coordinates then store those that a separate list and use a cursor to insert them into a feature class
  
  – mikewatt
  Apr 12 at 0:44
  

  
  
  
  

 | 
show 2 more comments

In ArcPy, I want to use JSONToFeatures_conversion, but I'm working with data that I pulled from a web service. I have no need to save the data to disk. So, I thought I could do something like this:

fd = StringIO.StringIO(<my JSON string>)
arcpy.JSONToFeatures_conversion(fd, 'in_memory\output')

arcpy definitely doesn't like that though. I'm considering using the tempfile module, but that's not an ideal solution for this. Temp files aren't really a good solution for this because of a few factors, from environmental constraints (permissions in some of the environments where it may run) to the size of the datasets (IO overhead).

doing this:

fs = arcpy.FeatureSet()
fs.load(<url to service>)

Isn't exactly ideal either because the dataset is composed of data from a couple sources, with different attributes that have to be reconciled.

Ultimately, the product of this operation will be passed in to arcpy.SelectLayerByLocation_management as the select_features parameter

Environment: ArcGIS 10.x (multiple machines running slightly different versions, but none of it's ArcPro, hence all Python2 not Python3)

arcpy json

share|improve this question

edited Apr 12 at 6:38

PolyGeo♦

54.1k1782246

asked Apr 11 at 21:50

Charlie ElversonCharlie Elverson

183

fd = StringIO.StringIO(<my JSON string>)
arcpy.JSONToFeatures_conversion(fd, 'in_memory\output')

fs = arcpy.FeatureSet()
fs.load(<url to service>)

share|improve this question

edited Apr 12 at 6:38

PolyGeo♦

54.1k1782246

asked Apr 11 at 21:50

Charlie ElversonCharlie Elverson

183

share|improve this question

edited Apr 12 at 6:38

PolyGeo♦

54.1k1782246

asked Apr 11 at 21:50

Charlie ElversonCharlie Elverson

183

edited Apr 12 at 6:38

PolyGeo♦

54.1k1782246

edited Apr 12 at 6:38

PolyGeo♦

54.1k1782246

asked Apr 11 at 21:50

Charlie ElversonCharlie Elverson

183

asked Apr 11 at 21:50

Charlie ElversonCharlie Elverson

183