Question: large dataset loading.

[osteth]

Hey!
I am using Flask-googleMaps for a NASA Space Apps Challenge and its been working great so far, thanks for making it! I have hit one issue I was hoping to pick your mind about and see if you have a solution.

I am tring to render over 20k +/- circles on the map to show wildfires detected by satellite. I believe I implemented FGM properly but it takes forever to load. I think this is because of the very large dataset I am loading.

Do you have any ideas for ways that I can either stream the circles in over time or something else that will work to load them?

[rochacbruno]

@osteth for that case I think you can generate an empty map, or with some initial circles, and then take the map object n JavaScript and a JS loop (or other technique like ws atc..) and then load maps asynchronously few at a time.

Unfortunately FGM does not have that kind of solution in Python Backend.

[osteth]

Thank you much for your time, that helps a lot!

[osteth]

I went ahead an used GeoIP to get the users coordinates and then filtered the data down using a bounding box to only show points relevant to each specific user. using FGM for the NASA Space apps challenge. thanks making it much easier for me to integrate a map into my project.
can check it out if you like.
https://github.com/osteth/project-firewatch

[rochacbruno]

@osteth nice! I'll take a look!

TIP: dont publish your private API keys to github, read it from environment variable os.environ.get("GOOGLEMAPS_KEY")

[osteth]

Thanks for the tip!
I had to provide a working copy of the source submitted via git per the submission requirements for the local contest and couldn't figure out a way to deliver a working copy without publishing the key, but I will definitely be revoking that key and editing it to use environment variables once judging is complete.