Latest Contributions by EarlMedina

Hey, have you tried using the proxy parameter? I've heard mixed reviews, but hopefully your proxy is more forgiving:   # Usage Exmaple 9: Using a Proxy proxy = { 'http': 'http://10.10.1.10:3128', 'https': 'http://10.10.1.10:1080', } gis = GIS(proxy=proxy)   ... View more

I think one way you might be able to do this is: for webmap in webmaps_contents : data = webmap.get_data() authoring_app = d["authoringApp"] if authoring_app == "ArcGISMapViewer" # Created with new MapViewer pass else: # Classic webmap (authoring_app is "WebMapViewer") pass   At least, based on my observations the Authoring App value is "ArcGISMapViewer" for the new MapViewer and "WebMapViewer" for the classic MapViewer. ... View more

You can accomplish this, but it requires a bit of setup and understanding of how things work. Let me give you an example. Suppose I want to join Feature Layer A to Table B. I know the field I want to join on is named "Activity," and I want to perform a Left Join.   Begin with necessary imports, initial setup:   from arcgis.gis import GIS from arcgis.features import FeatureLayer, Table, FeatureLayerCollection gis = GIS("https://www.arcgis.com", username="hari", password="seldon") fl_url = "https://services3.arcgis.com/xxxxxxxxxxx/arcgis/rest/services/pntLayer/FeatureServer/0" tbl_url = "https://services3.arcgis.com/xxxxxxxxxxx/arcgis/rest/services/TableToJoin/FeatureServer/0" fl = FeatureLayer(fl_url, gis) tbl = Table(tbl_url, gis)     Next, you'll want to add an index on the join field to both services:   index_to_add = {"indexes":[ { "name": "Activity_Index", "fields": "Activity", "isUnique": False, "isAscending": True, "description": "Activity_Index" } ]} fl.manager.add_to_definition(index_to_add) tbl.manager.add_to_definition(index_to_add)     Create a blank view service, initialize a FeatureLayerCollection from the result for later use:   view_service = gis.content.create_service(name="joined_view", is_view=True) view_flc = FeatureLayerCollection.fromitem(view_service )     Now, you need to think about which fields you want from the source feature layer and source table:   sourceFeatureLayerFields = [ { "name": "Activity", "alias": "Activity", "source": "Activity" }, { "name": "Description", "alias": "Description", "source": "Description" }, { "name": "StartDate", "alias": "StartDate", "source": "StartDate" }, { "name": "EndDate", "alias": "EndDate", "source": "EndDate" } ] sourceTableFields = [ { "name": "Note", "alias": "Note", "source": "Note" } ]     This is where the magic happens. We use some of the info above to create a definition we can use to end up with our desired joined view:   field_to_join_on = "Activity" view_lyr_name = "sampleJoinedView" definition_to_add = { "layers": [ { "name": view_lyr_name, "displayField": "", "description": "AttributeJoin", "adminLayerInfo": { "viewLayerDefinition": { "table": { "name": "sampleJoinedView", "sourceServiceName": fl.properties.name, "sourceLayerId": 0, "sourceLayerFields": sourceFeatureLayerFields, "relatedTables": [ { "name": "testjoin", "sourceServiceName": tbl.properties.name, "sourceLayerId": 0, "sourceLayerFields": sourceTableFields, "type": "LEFT", "parentKeyFields": [ field_to_join_on ], "keyFields": [ field_to_join_on ], "topFilter": { "groupByFields": field_to_join_on, "orderByFields": "OBJECTID ASC", "topCount": 1 } } ], "materialized": False } }, "geometryField": { "name": f"{view_lyr_name}.Shape" } } } ] } view_flc.manager.add_to_definition(definition_to_add)     Put it all together and we have:   from arcgis.gis import GIS from arcgis.features import FeatureLayer, Table, FeatureLayerCollection gis = GIS("https://www.arcgis.com", username="hari", password="seldon") fl_url = "https://services3.arcgis.com/xxxxxxxxxxx/arcgis/rest/services/pntLayer/FeatureServer/0" tbl_url = "https://services3.arcgis.com/xxxxxxxxxxx/arcgis/rest/services/TableToJoin/FeatureServer/0" fl = FeatureLayer(fl_url, gis) tbl = Table(tbl_url, gis) index_to_add = {"indexes":[ { "name": "Activity_Index", "fields": "Activity", "isUnique": False, "isAscending": True, "description": "Activity_Index" } ]} fl.manager.add_to_definition(index_to_add) tbl.manager.add_to_definition(index_to_add) view_service = gis.content.create_service(name="joined_view", is_view=True) view_flc = FeatureLayerCollection.fromitem(view_service ) sourceFeatureLayerFields = [ { "name": "Activity", "alias": "Activity", "source": "Activity" }, { "name": "Description", "alias": "Description", "source": "Description" }, { "name": "StartDate", "alias": "StartDate", "source": "StartDate" }, { "name": "EndDate", "alias": "EndDate", "source": "EndDate" } ] sourceTableFields = [ { "name": "Note", "alias": "Note", "source": "Note" } ] field_to_join_on = "Activity" view_lyr_name = "sampleJoinedView" definition_to_add = { "layers": [ { "name": view_lyr_name, "displayField": "", "description": "AttributeJoin", "adminLayerInfo": { "viewLayerDefinition": { "table": { "name": "sampleJoinedView", "sourceServiceName": fl.properties.name, "sourceLayerId": 0, "sourceLayerFields": sourceFeatureLayerFields, "relatedTables": [ { "name": "testjoin", "sourceServiceName": tbl.properties.name, "sourceLayerId": 0, "sourceLayerFields": sourceTableFields, "type": "LEFT", "parentKeyFields": [ field_to_join_on ], "keyFields": [ field_to_join_on ], "topFilter": { "groupByFields": field_to_join_on, "orderByFields": "OBJECTID ASC", "topCount": 1 } } ], "materialized": False } }, "geometryField": { "name": f"{view_lyr_name}.Shape" } } } ] } view_flc.manager.add_to_definition(definition_to_add)     There are other options you can play around with in the view layer definition, but this should give you a good starting point. To get a better idea of what your definition needs to look like, you could use the UI to create the exact view you want and capture the network traffic right after you click the button to create the joined view. The call you need to pay most attention to is "addToDefinition".   Hope this helps you and a lot of other people. ... View more

I'm not sure why this doesn't work for you? I can reproduce your original issue and the fix works on my end. You can also try df = pd.DataFrame([{"id": item.id, "size": item.size, "type": item.type} for item in items])   This also works for me. My version of the python api is 2.3.0; the version of pandas is 2.0.2.   ... View more