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Installing minimum dependencies for use with AWS Lambda

AnthonyRyanEQL

I'm looking at using ArcGIS Python API in an AWS Lambda function. I have installed all of the minimum dependencies based on Install and Setup | ArcGIS API for Python but some of these dependencies seem to be an overkill when used in AWS. Would the kerberos & ntlm packages actually be required and probably the same with oauthlib?

At the moment, I leaning towards ujson, six & requests are probably the bare minimum for AWS Lambda.

It would be great to find out the actual bare minimum per scenario (eg. If server/portal using local win accounts then only ujson, six & requests are required, etc)

Thanks for any help with this.

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RKatz

worked like a charm

AnthonyRyanEQL

RKatz,

You don't need the arcgis python api to do this.

Using the requests module and send a GET request to your url (eg. url='...../GISViewer/MapServer/57/query?f=json&token=.....) will return json data

RKatz

HI - if I can re-open this thread -

My use case is, to pull a latitude/longitude from a MapServiceLayer Docs :

from arcgis.mapping import MapServiceLayer

map_service_layer = MapServiceLayer(url='...../GISViewer/MapServer/57')

feature_set=map_service_layer.query(where='', text=text)

featureset.to_json

this seems like a fairly small-sized package, but I am currently forced to load a Docker image when I run this lambda; any suggestions on fitting the software for MapServiceLayer into a lambda layer would be by me appreciated.

Thank you!

AnthonyRyanEQL

Earl,

The use case I'm looking at this for CI/CD pipeline. Storing artifacts in S3 bucket (eg. sd files, mapx files, json for web maps) and then invoking lambda via a schedule to take these artifacts from S3 and publish them into ArcGIS Enterprise.

I'm thinking of building a docker file and using it that way instead now.

At the moment, I'm getting an error in loading the packages 'asn1' cannot be found for the crypto package

EarlMedina

I've run into the Lambda deployment size limitation in the past, so I understand your predicament. What functionality do you need from the Python API? On at least one occasion, it was easier to just write a custom class for my Lambdas that handled the essentials. I was doing simple stuff like querying a service to generate a report.

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