def create_points(data):
for id, values in data.iteritems():
print values
new_point = TrapLocation()
exp = Expedition.objects.get(id=values['exp_id'])
if exp.grid_square_id is None:
square_coords = values['square_number']
exp.grid_square_id = [
g.id for g in GridSquare.objects.all()
if g.battleship_coords() == square_coords
][0]
new_point.expedition = exp
new_point.save()
new_point.expedition.save()
new_point.whether_a_trap_was_set_here = True
new_point.transect_distance = values['distance']
# geography:
# TODO some duplicates inside these model methods here.. can be
# removed.
new_point.set_transect_bearing_wrt_magnetic_north(values['bearing'])
new_point.set_actual_lat_long([values['lat'], values['lon']])
new_point.set_suggested_lat_lon_from_mag_north(values['bearing'],
values['distance'])
new_point.understory = values['understory']
new_point.student_names = values['student_name']
new_point.team_letter = values['team_name']
new_point.team_number = values['trap_number']
new_point.bait_still_there = (values['bait_left'] == 't')
if values['animal']:
species = Species.objects.get(
common_name__icontains=values['animal'])
animal = Animal()
animal.species = species
animal.save()
new_point.animal = animal
animal.save()
if values['habitat'] is not None:
habitat = guess_habitat(values)
new_point.habitat_id = habitat.id
if values['bait'] is not None:
bait = guess_bait(values)
new_point.bait_id = bait.id
new_point.save()
test_points.append(new_point)
def create_points(data):
for id, values in data.iteritems():
print values
new_point = TrapLocation()
exp = Expedition.objects.get(id=values['exp_id'])
if exp.grid_square_id is None:
square_coords = values['square_number']
exp.grid_square_id = [
g.id for g in GridSquare.objects.all()
if g.battleship_coords() == square_coords][0]
new_point.expedition = exp
new_point.save()
new_point.expedition.save()
new_point.whether_a_trap_was_set_here = True
new_point.transect_distance = values['distance']
# geography:
# TODO some duplicates inside these model methods here.. can be
# removed.
new_point.set_transect_bearing_wrt_magnetic_north(values['bearing'])
new_point.set_actual_lat_long([values['lat'], values['lon']])
new_point.set_suggested_lat_lon_from_mag_north(
values['bearing'], values['distance'])
new_point.understory = values['understory']
new_point.student_names = values['student_name']
new_point.team_letter = values['team_name']
new_point.team_number = values['trap_number']
new_point.bait_still_there = (values['bait_left'] == 't')
if values['animal']:
species = Species.objects.get(
common_name__icontains=values['animal'])
animal = Animal()
animal.species = species
animal.save()
new_point.animal = animal
animal.save()
if values['habitat'] is not None:
habitat = guess_habitat(values)
new_point.habitat_id = habitat.id
if values['bait'] is not None:
bait = guess_bait(values)
new_point.bait_id = bait.id
new_point.save()
test_points.append(new_point)
def deal_with_animals(point, rp):
# Deal with animals:
animal_key = 'animal_%d' % (point.id)
if animal_key in rp and rp[animal_key] != 'None':
species_id = int(rp[animal_key])
species = Species.objects.get(id=species_id)
# TODO (icing ) here we assume that the animal has never been
# trapped before.
animal = Animal()
animal.species = species
animal.save()
# Note, would be nice to have a foreign key to another Animal
# denoting that this Animal is the same actual organism as the
# other Animal, but recaptured at a later date and
# aidentified by the same tag.
# animal = find_already_tagged_animal_in_the_database_somehow()
point.animal = animal
point.save()
animal.save()
def process_save_team_form(request):
if request.method != 'POST':
return HttpResponseRedirect('/mammals/all_expeditions/')
rp = request.POST
expedition_id = rp['expedition_id']
exp = Expedition.objects.get(id=expedition_id)
team_letter = rp['team_letter']
the_team_points = exp.team_points(team_letter)
form_map = {
'habitat': 'habitat_id', 'bait': 'bait_id', 'trap_type': 'trap_type_id'
}
form_map_booleans = {
'whether_a_trap_was_set_here': 'whether_a_trap_was_set_here',
'bait_still_there': 'bait_still_there'
}
for point in the_team_points:
if 'student_names' in rp:
point.student_names = rp['student_names']
point.save()
for the_key, thing_to_update in form_map.iteritems():
rp_key = '%s_%d' % (the_key, point.id)
if rp_key in rp and rp[rp_key] != 'None':
setattr(point, '%s' % thing_to_update, rp[rp_key])
point.save()
for the_key, thing_to_update in form_map_booleans.iteritems():
rp_key = '%s_%d' % (the_key, point.id)
if rp_key in rp and rp[rp_key] != 'None':
setattr(point, '%s' %
thing_to_update, (rp[rp_key] == 'True'))
point.save()
rp_key = '%s_%d' % ('understory', point.id)
if rp_key in rp and rp[rp_key] != 'None':
point.understory = rp[rp_key]
point.save()
rp_key = '%s_%d' % ('notes_about_location', point.id)
if rp_key in rp and rp[rp_key] != 'None':
point.notes_about_location = rp[rp_key]
point.save()
# Deal with animals:
animal_key = 'animal_%d' % (point.id)
if animal_key in rp and rp[animal_key] != 'None':
species_id = int(rp[animal_key])
species = Species.objects.get(id=species_id)
# TODO (icing ) here we assume that the animal has never been
# trapped before.
animal_never_trapped_before = True
if animal_never_trapped_before:
animal = Animal()
animal.species = species
animal.save()
else:
# Note, would be nice to have a foreign key to another Animal
# denoting that this Animal is the same actual organism as the
# other Animal, but recaptured at a later date and
# aidentified by the same tag.
# animal = find_already_tagged_animal_in_the_database_somehow()
pass
point.animal = animal
point.save()
animal.save()
# Deal with actual latitude and longitude:
# The burden of providing good data here rests on the front end.
# If the actual lat and lon don't meet our data standards, we're simply
# not going to use them.
# 1) Do they both exist?
# 2) Are they both accurate to 5 decimals?
# 3) Are they within a certain distance of the original lat and lon (no
# interest in points in another country.
correcting_lat_lon = False
match_string = '(\-)?(\d){2}\.(\d){5}'
# if your coordinate string doesn't match the above, you have a nice
# day.
lat_key = 'actual_lat_%d' % point.id
lon_key = 'actual_lon_%d' % point.id
max_diff = 250.0 # meters
min_diff = 1.0 # meters
correcting_lat_lon = True
if correcting_lat_lon and lat_key not in rp:
correcting_lat_lon = False
if correcting_lat_lon and lon_key not in rp:
correcting_lat_lon = False
if correcting_lat_lon and match(match_string, rp[lat_key]) is None:
correcting_lat_lon = False
if correcting_lat_lon and match(match_string, rp[lon_key]) is None:
correcting_lat_lon = False
if correcting_lat_lon:
diff_lat = point.actual_lat() - float(rp[lat_key])
diff_lon = point.actual_lon() - float(rp[lon_key])
distance_to_corrected_point_in_meters = hypotenuse(
*to_meters(diff_lat, diff_lon))
if distance_to_corrected_point_in_meters > max_diff:
correcting_lat_lon = False
# distance_to_corrected_point_in_meters
if (correcting_lat_lon and
distance_to_corrected_point_in_meters < min_diff):
correcting_lat_lon = False
# distance_to_corrected_point_in_meters
if correcting_lat_lon:
point.set_actual_lat_long(
[float(rp[lat_key]), float(rp[lon_key])])
point.save()