Latest Contributions by EarlMedina

‎10-06-2023

Awesome glad to help streamline things!

‎10-06-2023

Is this what you're trying to do? import requests from arcgis import GIS from arcgis.features import FeatureLayerCollection url = "https://pythonapi.playground.esri.com/server/rest/services/Hosted/Ports_in_the_Western_US/FeatureServer" gis = GIS("https://pythonapi.playground.esri.com/portal", "arcgis_python", "amazing_arcgis_123") flc = FeatureLayerCollection(url, gis) replica = flc.replicas.create( replica_name = 'arcgis_python_api_ports', layers='0', sync_model="perLayer", target_type="server", data_format="sqlite", asynchronous=True ) status_url = replica["statusUrl"] params = { "f": "json", "token": gis._con.token } r = requests.post(status_url, params=params) Where you can then use r.json() to get a json response from the status url: {'responseType': 'esriReplicaResponseTypeData', 'replicaID': '037B207A-4E7B-423C-AC99-F9EE3AAE96E6', 'replicaName': 'arcgis_python_1696596866617', 'resultUrl': 'https://pythonapi.playground.esri.com/server/rest/directories/arcgisjobs/system/synctools_gpserver/je1fb0eacd85444baae62274cd6ea9811/scratch/_ags_data5464957EDC9346558F5FFEA3DCE5AEBC.geodatabase', 'transportType': 'esriTransportTypeURL', 'targetType': 'server', 'lastUpdatedTime': 1696596867000, 'layerServerGens': [{'serverGen': 1696596865593, 'id': 0, 'serverSibGen': 0}], 'submissionTime': 1696596865000, 'status': 'Completed'}

‎10-05-2023

There's some examples here: Editing Features | ArcGIS API for Python. No SDE connection required. Your code would change to something like this import arcgis from arcgis.features import FeatureLayer gis = GIS("https://xxxxxxx/portal", "username", "password") fl_url = "https://xxxxxx/env/rest/services/DEV/VDEQ_Petro_Tank_Facility_DEV/FeatureServer/0" fl = FeatureLayer(fl_url, gis) ...other logic... fl.edit_features(adds=YOUR_ADDS, deletes=YOUR_DELETES, updates=YOUR_UPDATES) Where the adds, deletes, updates are a FeatureSet object, or a list of features in json form (I think you basically have this already with your JSON).

‎10-05-2023

From your sample, you're already using the api for login purposes. Why don't you give the edit_features method a shot with your json and see if that produces different results? I don't observe the same behavior using just the API, so I think at least part of the problem may be missing headers.

‎10-05-2023

Okay, I think maybe I understand. You might be confusing ArcPy with the ArcGIS API for Python? For ArcPy you would most likely edit data directly using an sde connection file. The ArcGIS API for Python, on the other hand, is just a wrapper for the REST API that makes it easier to use. I guess the only way you wouldn't be able to use it for this purpose is if you are working with a standalone ArcGIS Server. Otherwise, you would simply log into your portal, load the target Feature Layer, and use the FeatureLayer object's "edit_features" method to accomplish a similar result.

‎10-04-2023

Out of curiosity have you attempted the equivalent workflow using the ArcGIS API for Python? I realize you may have your reasons for using the REST API directly, but thought I would ask in case there's a possibility that might work better. The Python API will be a little different through the use of requests.Session (I'm pretty sure) and headers. I'm certain there is some configuration that is missing here that is giving you these odd results.

‎10-04-2023

Just an observation - I don't know if it's significant - but one difference between the two methods is the header. Maybe looking into the differences between the two requests could yield some useful information.

‎10-04-2023

Are you certain the problem is on the json.loads side? When you load from the files, does the count match what you expect? I suspect the problem is actually on the append side. I've encountered similar issues in the past when attempting to add several thousand records all at once. My solution was to apply the edits in batches (of 500 or so).

‎09-29-2023

This is a really simplified example, but you can accomplish this using only the ArcGIS API for Python like so: import pandas as pd from arcgis.features import GeoAccessor, GeoSeriesAccessor from arcgis.gis import GIS from arcgis.mapping import WebMap gis = GIS("https://machine.domain.com/portal", "admin", "password") df = pd.read_csv("/path/to/sample.csv") # or pd.read_excel sedf = pd.DataFrame.spatial.from_xy(df=df, x_column="LONGITUDE", y_column="LATITUDE", sr=4326) lyr = sedf.spatial.to_featurelayer("csv_featureLayer", gis=gis) wm = WebMap() wm.add_layer(lyr) item_properties = {"title":"CSV test", "snippet": "whatever", "tags": ["automation", "python"]} wm_item = wm.save(item_properties)

‎09-29-2023

To get that information, you can take a look at the item data. Example: from arcgis import GIS import json conn = GIS("https://machine.domain.com/portal", "admin", "password") item = conn.content.get(<itemID>) item_data = item.get_data() # Include the below line for prettified JSON print(json.dumps(item_data, indent=4, sort_keys=True)) In your case, the information you're looking for will be in: item_data["operationalLayers"]

‎09-28-2023

Have you considered just using FeatureLayer? If you know ahead of time what the URL is, you don't have to search for it. from arcgis import GIS from arcgis.features import FeatureLayer gis = GIS() url = "https://urlforlayer/0" fl = FeatureLayer(url, gis)

‎09-22-2023

I think instead of LEFT you can use SUBSTRING. This is the best information I'm aware of regarding SQL support: Enforce standardized SQL queries—ArcGIS Server | Documentation for ArcGIS Enterprise Standardized SQL functions in ArcGIS Online—ArcGIS Online Help | Documentation I believe this is only supported 10.9+ when 'supportsOutFieldSqlExpression' was added.

‎09-21-2023

Sorry to ask the obvious, but does that query return records? Everything seems to be in order in your screen.

‎09-21-2023

Hey, if I'm reading the documentation correctly then if you want everything appended to a FeatureLayer you need to supply a FeatureLayer object, not string to output_name. Seems like the failed process already created an initial Feature Layer for you? Use that for output_name and see what happens.

‎09-20-2023

I think you can reasonably simulate the same result for your case. Instead of going through Portal you publish directly to Server and copy the data. It seems like you're publishing single raster datasets? That should be fine under your licensing. All you should have to do to is make some minor changes to your CreateImageSDDRaft function.

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Latest Contributions by EarlMedina

Re: JSON.Load python file -- Add Features to Feature Service

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Re: JSON.Load python file -- Add Features to Feature Service

Re: JSON.Load python file -- Add Features to Feature Service

Re: JSON.Load python file -- Add Features to Feature Service

Re: JSON.Load python file -- Add Features to Feature Service

Re: JSON.Load python file -- Add Features to Feature Service

Re: JSON.Load python file -- Add Features to Feature Service

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