Now that you have an Azure Function, let’s test it. You should then get a successful deployment: Yes, we want this to move also into a DevOps environment and we’ll do that ASAP. Sign in to your Azure Account, then select the up arrow to deploy, selecting your Azure Function as the deployment target: "Please pass a name on the query string or in the request body", #return func.HttpResponse(f"Here are the geotags: ") ('Python HTTP trigger function processed a request.') Lon = get_decimal_from_dms(geotags, geotags)ĭef main(req: func.HttpRequest) -> func.HttpResponse: Lat = get_decimal_from_dms(geotags, geotags) Return round(degrees + minutes + seconds, 5) Raise ValueError("No EXIF geotagging found")
Raise ValueError("No EXIF metadata found") Open Visual Studio Code and create a new project, then taking the code below and inserting into the editor: import logging While doing that, ensure you have prepared your Visual Studio Code environment for Python development. It will take a few minutes to initially provision. Then select “create” and build your function. Ensure you create this as Python so it has the correct runtime stack. In this post we’ll provision the Azure Function, deploy the code via VS Code and configure an App Insights availability tracker.įill in the function details and use our already created resource group. We started with provisioning an Azure storage environment that this uses to retrieve images.
If you want to work on creating your own Wildlife ID environment, start here!
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