Thank you. I tried executesql, I got an error saying it cannot be serialized in JSON. On Sep 17, 2012 2:58 PM, "Bruno Rocha" <rochacbr...@gmail.com> wrote:
> In my experience working with this I fired out that it is better to use > "haversine" directly on database, you can find haversine functions for > MySQL, Postgres and even for SQlite. > > I dont know how one can write haversine with DAL api, but you can do it > with executesql() as you are going to turn this in to json. > > BTW: you can use rows.exclude(lambda row: row.x == y) to remove items > I guess you can combine rows with Rows += Rows/ or Rows &= Rows if they > are scheme identically. > > Take a look at row.exclude() on dal chapter of the book > > > On Mon, Sep 17, 2012 at 4:51 PM, Kenny <nis...@gmail.com> wrote: > >> Basically, I get the place data with longitude and latitude, calculate it >> if it's more than 3000 miles, remove that row from Rows. >> I am sure that this is wrong. If I can remove the row from fetch rows, >> how can I add extra columns to the rows for distance between two points? >> P.S the result has to be Jsoned. >> >> Here's the code >> >> def tester(): >> items = db(db.dine_promotion.place_id==db.place.id).select() >> >> latitude =float(23.790457) >> longitude =float(-47.602542) >> for row in items: >> if row.place.latitude: >> a=float(row.place.latitude) >> b=float(row.place.longitude) >> dist="%.2f" % calc_distance(latitude,longitude,a,b) >> if dist > 3000: >> items.remove(row) >> return dict(restaurants = items) >> >> -- >> >> >> >> > > > -- > > > > --
