Latest Contributions by EarlMedina

‎02-20-2024

Hi @JillianStanford , It looks like that property isn't there by default. You can try hydrating each item object ahead of time as this seems to set the required size property. So, you would do something like this first: for item in items: item._hydrate()

‎02-15-2024

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.

‎02-15-2024

items is a list of objects - sometimes this will work, sometimes not. The dictionary representation of the data is more reliable. There are many ways to fix this, but the most straightforward is probably to do: df = pd.DataFrame([vars(item) for item in items], columns=["id", "size", "type"]) vars() is just a handy function that returns the __dict__ attribute on each item object.

‎02-02-2024

Hi, Have you tried using df.spatial.to_featureset() instead? I'm not sure if you'll encounter the same issue, but if all you need "point_features" for is to update "item1" then there's not much point in publishing the intermediate data.

‎02-02-2024

Hi, this small update should work well for your needs: l = 0 for layer in webmap_obj.layers: l += 1 print(l, layer.title) if hasattr(layer, "layers"): for sublayer in layer.layers: print("\t", sublayer.title)

‎01-26-2024

Can you try WebMap.add_table()? It works basically the same way, but it's intended for tables. You'll need to change your code a bit and use the id for the table instead.

‎01-18-2024

There are two ways you can do this. Both rely on typeKeywords. When you create a View, I believe a type keyword is automatically attached to it (this is true in the UI, at least). You can do something like this with your query string to filter out views: the_query = "NOT typekeywords:View Service AND owner:youruser" Or, in your loop you can use Item.typeKeywords to isolate views if you need to do further manipulations. The typeKeywords property for a view should be equal to a list like so: ['ArcGIS Server', 'Data', 'Feature Access', 'Feature Service', 'Service', 'Singlelayer', 'Hosted Service', 'View Service'] So, you can do: if "View Service" in item.typeKeywords do this or that.

‎12-20-2023

I think this one can be logged as a bug. The reference list is: layer_types = [ "ArcGISTiledMapServiceLayer", "ArcGISImageServiceLayer", "ArcGISImageServiceVectorLayer", "ArcGISMapServiceLayer", "ArcGISTiledImageServiceLayer", "ArcGISVectorTileLayer", ] But the layerType attribute is set to "VectorTileLayer." From a quick glance at the source, it looks like "ArcGISVectorTileLayer" is only defined in arcgis/mapping/_types.py so I think the types are either incorrect or the logic needs to be updated to properly map to the types.

‎12-18-2023

I think I had to do this once. I'm not positive, but I think the process was something like this: Use Create Replica to download the data Run Append with the "Preserve Global IDs" environment setting. The limitation is going to be with #2. I believe eGDB appended to FGDB doesn't work, but not sure about FGDB to eGDB. You may need to experiment with a test case.

‎12-07-2023

You can do something like this: from arcgis.gis import GIS gis = GIS("https://yourportal.com/portal", "portaladmin", "password") hosting_server = gis.admin.servers.get(role="HOSTING_SERVER")[0] And then use hosting_server.system, which is a System Manager. The web_adaptors property, for example, returns: {'webAdaptors': [{'machineName': 'machine', 'machineIP': '10.29.77.176', 'webAdaptorURL': 'https://machine.domain.com/server', 'id': '4y0f8a80-01as-4e0e-bc6d-3d1234873c5', 'description': '', 'httpPort': -1, 'httpsPort': 443, 'refreshServerListInterval': 1, 'reconnectServerOnFailureInterval': 1, 'isAdminEnabled': True}]} Some other things you may find useful are "unregister_webadaptor" and "update_web_adaptors_configuration"

‎12-05-2023

In the past, I remember to_featureclass failing if you had any Python lists in your dataframe. I'm not sure if this is a problem in your case (only noting it because I see lists in the screen).

‎12-04-2023

Hey, your calc_expression value should be: {"field": "assetid", "sqlExpression": "CONCAT('NNTREE-', OBJECTID)"}

‎12-01-2023

I believe you can identify which records intersect one another with a spatial join. In my small test case, this works and returns the expected records: from arcgis import GIS from arcgis.features import FeatureLayer gis = GIS("https://machine.domain.com/portal", "user", "pass") fl_url = "https://src.domain.com/server/rest/services/test/FeatureServer/0" fl = FeatureLayer(fl_url, gis) df = fl.query(as_df=True) joined = df.spatial.join( df.copy(), how="left", op="intersects", left_tag="left", right_tag="right" ) intersecting_records = joined.loc[joined.OBJECTID_left != joined.OBJECTID_right] Hope this helps! This was a really good question that I'm sure many will get value from.

‎12-01-2023

As far as I can tell, everything seems to be in order. It's not really advertised, but you can do same-portal clones (I used to do this quite a bit for similar reasons). Some other things you can try are exporting the data or creating a replica. From there, you can prepare the data as you wish locally and then publish as usual. If it fails to do either one of those, maybe there will be an error that provides more insight.

‎11-29-2023

This IS possible, but you have to be very careful that you provide the exact JSON representation of your service (plus the update to the "schemaLockingEnabled" property) as a dict. I tested the below with good results, but I suggest you carefully review the service properties for correctness and use a test service to start. from arcgis.gis import GIS gis = GIS("https://machine.domain.com/portal", "user", "pass") hosting_server = gis.admin.servers.get(role="HOSTING_SERVER")[0] services = hosting_server.services.list() service = services[0] # You can get the required dict for the edit from service.properties # Review for accuracy as this update could break your service if there are # any errors present edit_dict = service.properties.__dict__["_mapping"] edit_dict["properties"]["schemaLockingEnabled"] = "false" service.edit(edit_dict)

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Latest Contributions by EarlMedina

Re: Populating dataframe with item search results - values missing

Re: Populating dataframe with item search results - values missing

Re: Populating dataframe with item search results - values missing

Re: .to_featureclass() incorrectly tries to convert to float

Re: Listing grouped layers in a Web Map

Re: add layer to web map with standalone table don't work

Re: Filtering Views from collection of hosted feature layers

Re: WebMap object move_to_basemap() method will not move the layer to the basemap

Re: Scrape AGOL and Populate SDE Feature Classes

Re: Accessing to Federated Server Web Adaptor From ArcGIS API for Python

Re: Spatial DataFrame to_featureclass() strips attribute data

Re: FeatuerLayer .caculate that concatenates a field with a standalone string

Re: Return all Geometries that Intersect with other Geometries

Re: Non-Buggy Way to Duplicate Hosted Feature Service?

Re: How to Set/Un-Set a Service Lock Database Schema Property Using ArcGIS API for Python

Re: Filtering Views from collection of hosted feat...

Re: FeatureLayer edit_features throwing error 1000...

Re: Output Spatial Dataframe/Dataframe to Table on...

Re: how to create view from table relationship

Re: How to create hosted feature views including t...