def get_lower_bins(lower_left, lower_right, NUM_BINS): lower_bins = [] dist = helpers.find_distance(lower_left, lower_right) bin_width = dist / NUM_BINS slope = helpers.find_slope(lower_left, lower_right) x = lower_left[0] for binno in range(NUM_BINS): bin_y = lower_left[1] + (slope * x) lower_bins.append( (x, bin_y) ) x += bin_width return lower_bins
def search():
"""Buyer can search parameters for storage"""
# Render template
if (request.method == "GET"):
return render_template("search.html")
if (request.method == "POST"):
# Get inputs
street = request.form.get("street")
city = request.form.get("city")
state = request.form.get("state")
zip = request.form.get("zip")
miles = request.form.get("miles")
space = request.form.get("space")
start = request.form.get("start")
end = request.form.get("end")
# Return apology if missing entries
if not city:
return apology("You must enter your city.")
if not state:
return apology("You must enter your state.")
if not zip:
return apology("You must enter your zip code.")
if not miles:
return apology("You must enter the range.")
if not space:
return apology("You must enter the number of boxes.")
if not start:
return apology("You must enter the start date.")
if not end:
return apology("You must enter the end date.")
# format the user's location
loc_1 = street + ', ' + city + ', ' + state + ', ' + zip
# find their prefered range in meters (1609.34 is the conversion rate)
meters = 1609.34 * float(miles)
# make a list of the of all listings
listings = db.execute('SELECT * FROM listings')
# make a list of of viable listings
viable_listings = []
# find which listings are within physical range
for listing in listings:
# format the location
loc_2 = listing['street'] + ', ' + listing[
'city'] + ', ' + listing['state'] + ', ' + listing['zip']
# find the distances
distance_dict = find_distance(loc_1, loc_2)
distance_text = distance_dict['text'] # str in metric units
distance_value = distance_dict['value'] # int in meters
# check if the listing is viable, if so add it to list
if (distance_value <= meters) and (int(space) <= int(
listing['space'])) and (check_dates(
start, end, listing['start'], listing['end'])):
# add distance to the listing
listing['distance'] = distance_text
# add listing to list of viable listings
viable_listings.append(listing)
# order the list of viable listings by price
final_listings = sorted(viable_listings, key=lambda k: k['price'])
# add names to the list final listings
for listing in final_listings:
listing['username'] = db.execute(
'SELECT username FROM users WHERE user_id=:user_id',
user_id=listing['user_id'])[0]['username']
# redirect to search results
return render_template("search_results.html",
final_listings=final_listings,
loc_1=loc_1)
def unique(good_points, point, width): for p in good_points: if helpers.find_distance(point, p) < width: return False return True
