CODEWITHSUNDEEP
google-app-enginepython-2.7timezone
Rob Curtis
Rob Curtis

Reputation: 2265

Detecting timezone on Appengine using latitude and longitude and tz_world data

I'm trying to detect timezone on google appengine, based on the latitude and longitude returned from X-AppEngine-CityLatLong.

Solution tried so far:

I've been using pytzwhere on local dev to get timezone by lat long (hardcoded localX-AppEngine-CityLatLong to a given location). This works great, I get the timezone ids I need.

However, pytzwhere uses tz_world data (converted to json, in a format needed for pytzwhere) but the files are too big to upload to appengine. I zipped up the required tz_world data (to allow the upload to appengine) and unzip it when needed. This results in exceeding soft private memory limit.

Would it be better to upload the files to blobstore/cloudstorage and unzip from there, or what that also result in exceeding soft private memory limit? I'd prefer not to bump up the frontend instance size (to get more memory) because I don't really need the extra computing power (but maybe this is an option)

I haven't done much work with geospatial data, but would storing the data from tz_world in the datastore (with geomodel) and writing an implementation of pytzwhere to query the data from the datastore be a feasible soluton?

Other options: web services

I'd prefer not to use a webservice to retrieve timezone (e.g. Google Timezone API) because or rate limits, but perhaps that's the easiest way for now. This Related question is great but doesn't have any appengine specific implementation (other than webservice options).

Upvotes: 0

Views: 213

Answers (1)

IanGSY
IanGSY

Reputation: 3714

I would suggest you use the Google Timezone API as your primary source of data, but cache the results in the datastore, and only use the API to lookup latlongs that you do not yet have in the datastore.

Upvotes: 1

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