def check_generated(i):
if i.image == '':
im = GA.display(i.genome)
out = "{}.png".format(i)
storage_utils.upload(im, 'media/' + out)
i.image = out
i.save()
def globalhome(request):
username = request.user
if is_lazy_user(request.user):
request.session.guest = True
pop = Artist.objects.filter(global_pop=True, alive=True)
top_image = sorted(pop,
key=lambda x: ((x.mean_fitness / 10)**2) *
(math.log(max(1, x.seen)) + 1),
reverse=True)[0]
gen = max([a.generation for a in pop])
users = len(set([a.user for a in pop]))
fits = [a.mean_fitness for a in pop.filter(seen__gte=0)]
fitness = round(sum(fits) / len(fits), 2)
variety = conrad_utils.genetic_diversity(pop)
if top_image.image500 == '':
im = GA.display(top_image.genome, size=(500, 500))
out = "{}_500.PNG".format(top_image)
storage_utils.upload(im, 'media/' + out)
top_image.image500 = out
top_image.save()
top_image = top_image.image500.url
pop_data = [top_image, gen, fitness, variety, users]
context = {'pop_data': pop_data, 'username': username}
return render(request, 'conrad/globalhome.html', context)
def userhome(request):
username = request.user
if is_lazy_user(request.user):
request.session.guest = True
pop_list = list(
set([
p.population
for p in Artist.objects.filter(user=username, global_pop=False)
]))
if pop_list:
pops = [
Artist.objects.filter(user=username,
population=p,
global_pop=False) for p in pop_list
]
top_images = [
p.filter(seen__gte=0).order_by('-fitness', '-created')[0]
for p in pops
]
gens = [max([a.generation for a in p]) for p in pops]
la = [max([a.last_active for a in p]) for p in pops]
fitnesses = [
round(
sum([a.fitness for a in p.filter(seen__gte=0)]) /
len([a.fitness for a in p.filter(seen__gte=0)]), 2)
for p in pops
]
varieties = [
conrad_utils.genetic_diversity(pops[i].filter(generation=gens[i]))
for i in range(len(pops))
]
no_to_go = [(len(pops[i].filter(generation=gens[i], seen__lte=0)))
for i in range(len(pops))]
for i in top_images:
if i.image == '':
im = GA.display(i.genome)
out = "{}.PNG".format(i)
storage_utils.upload(im, 'media/' + out)
i.image = out
i.save()
top_images = [i.image.url for i in top_images]
user_pops = [[
pop_list[i], top_images[i], gens[i], fitnesses[i], varieties[i],
no_to_go[i], la[i]
] for i in range(len(pop_list))]
new_pop = max(pop_list) + 1
else:
user_pops = []
new_pop = 0
context = {
'user_pops': user_pops,
'username': username,
'new_pop': new_pop
}
return render(request, 'conrad/userhome.html', context)
def generate_image(artist_id):
i = Artist.objects.get(pk=artist_id)
print("Generating {} in the background".format(i))
logger.info("Generating {} in the background".format(i))
if i.image == '':
im = GA.display(i.genome)
out = "{}.PNG".format(i)
storage_utils.upload(im, 'media/'+out)
i.image = out
i.save()
def newpop(popsize, genlength, pop, user):
for i in range(popsize):
a = Artist(population=pop,
generation=0,
fitness=0,
member=i,
seen=False,
image=None,
genome=GA.birth(genlength),
user=user)
a.save()
tasks.generate_image(a.id)
def inspect(request, id):
a = Artist.objects.get(pk=id)
if a.mother.values().filter(generation=(a.generation - 1)):
mother = Artist.objects.get(pk=a.mother.values().filter(
generation=(a.generation - 1))[0]['id'])
conrad_utils.check_generated(mother)
else:
mother = ''
if a.father.values().filter(generation=(a.generation - 1)):
father = Artist.objects.get(pk=a.father.values().filter(
generation=(a.generation - 1))[0]['id'])
conrad_utils.check_generated(mother)
else:
father = ''
fchildren = [
Artist.objects.get(pk=c['id'])
for c in a.father.values().filter(generation=(a.generation + 1))
]
mchildren = [
Artist.objects.get(pk=c['id'])
for c in a.mother.values().filter(generation=(a.generation + 1))
]
if not a.image500:
im = GA.display(a.genome, size=(500, 500))
out = "{}_500.PNG".format(a)
storage_utils.upload(im, 'media/' + out)
a.image500 = out
a.save()
for c in [fchildren, mchildren]:
for i in c:
conrad_utils.check_generated(i)
children = mchildren + fchildren
context = {
'artist': a,
'mother': mother,
'father': father,
'children': children
}
return render(request, 'conrad/inspect.html', context)
def newgen(population):
popNo = population[0].population
gen = population[0].generation + 1
user = population[0].user
population = list(population)
random.shuffle(population)
for i in range(len(population) - int(len(population) / 10)):
mother = select_parent(population)
father = select_parent(population)
if len(father.genome) < len(mother.genome):
mother, father = father, mother
child = crossover(mother, father)
child = mutate(child, 0.1, 0.5)
a = Artist(population=popNo,
generation=gen,
fitness=0,
member=i,
seen=False,
image='',
image500='',
genome=child,
user=user)
a.save()
a.mother.set([mother.id])
a.father.set([father.id])
a.save()
tasks.generate_image(a.id)
for i in range(int(len(population) / 10)):
a = Artist(population=popNo,
generation=gen,
fitness=0,
member=len(population) - int(len(population) / 10) + i,
seen=False,
image='',
image500='',
genome=GA.birth(30),
user=user)
a.save()
tasks.generate_image(a.id)
def global_mate(mother, population, username):
popNo = mother.population
gen = mother.generation + 1
member = max([p.member
for p in population if p.generation == gen] + [-1]) + 1
mf = round(sum([p.mean_fitness for p in population]))
father = select_parent(population, mean=True)
if len(father.genome) < len(mother.genome):
mother, father = father, mother
child = crossover(mother, father)
child = mutate(child, 0.1, 0.5)
a = Artist(population=popNo,
generation=gen,
fitness=mf,
member=member,
seen=False,
image='',
image500='',
genome=child,
user=username,
global_pop=True)
a.save()
a.mother.set([mother.id])
a.father.set([father.id])
a.save()
tasks.generate_image(a.id)
if random.random() < 0.1:
a = Artist(population=popNo,
generation=gen,
fitness=mf,
member=member + 1,
seen=False,
image='',
image500='',
genome=GA.birth(30),
user='******',
global_pop=True)
a.save()
tasks.generate_image(a.id)
def newgen(request, population, gen, username):
pop = Artist.objects.filter(user=username,
population=population,
global_pop=False,
generation=gen)
fitness = round(sum([a.fitness for a in pop]) / len(pop), 2)
diversity = conrad_utils.genetic_diversity(pop)
top_image = pop.order_by('-fitness', '-created')[0]
if not top_image.image500:
im = GA.display(top_image.genome, size=(500, 500))
out = "{}_500.PNG".format(top_image)
storage_utils.upload(im, 'media/' + out)
top_image.image500 = out
top_image.save()
return render(
request, 'conrad/end_gen.html', {
'population': population,
'generation': gen,
'top_image': top_image,
'fitness': fitness,
'diversity': diversity
})
def sandbox(request):
genome1 = request.GET.get('image1')
genome2 = request.GET.get('image2')
if genome1:
genome1 = genome1.upper()
if re.search('[^ATCG]', genome1):
error_message = "Genomes can only contain 'A's, 'T's, 'C's, and 'G's."
return render(request, 'conrad/sandbox.html', {
'image1': '',
'function1': '',
'error_message': error_message
})
if len(genome1) < 30 or len(genome1) > 90:
error_message = "Genomes must be between 30 and 90 characters"
return render(request, 'conrad/sandbox.html', {
'image1': '',
'function1': '',
'error_message': error_message
})
else:
image1 = 'media/' + genome1 + '.png'
if not storage_utils.check_exists(genome1 + 'png'):
im1 = GA.display(genome1)
storage_utils.upload(im1, image1)
image1 = storage_utils.get_url(image1)
function1 = image.print_gene(genome1, 0, 1)
if genome2:
genome2 = genome2.upper()
if re.search('[^ATCG]', genome2):
error_message = "Genomes can only contain 'A's, 'T's, 'C's, and 'G's."
return render(request, 'conrad/sandbox.html',
{'error_message': error_message})
if len(genome1) < 30 or len(genome1) > 90:
error_message = "Genomes must be between 30 and 90 characters"
return render(
request, 'conrad/sandbox.html', {
'image1': '',
'function1': '',
'error_message': error_message
})
else:
image2 = 'media/' + genome2 + '.png'
if not storage_utils.check_exists(genome2 + 'png'):
im2 = GA.display(genome2)
storage_utils.upload(im2, image2)
image2 = storage_utils.get_url(image2)
function2 = image.print_gene(genome2, 0, 1)
offspring = request.GET.get('offspring')
if offspring == "True":
random.seed(timezone.now())
genome3 = GA.crossover(genome1, genome2)
image3 = 'media/' + genome3 + '.png'
if not storage_utils.check_exists(genome3 + 'png'):
im3 = GA.display(genome3)
storage_utils.upload(im3, image3)
image3 = storage_utils.get_url(image3)
function3 = image.print_gene(genome3, 0, 1)
return render(
request, 'conrad/sandbox.html', {
'image1': image1,
'function1': function1,
'genome1': genome1,
'image2': image2,
'function2': function2,
'genome2': genome2,
'image3': image3,
'function3': function3,
'genome3': genome3
})
else:
return render(
request, 'conrad/sandbox.html', {
'image1': image1,
'function1': function1,
'genome1': genome1,
'image2': image2,
'function2': function2,
'genome2': genome2
})
else:
return render(request, 'conrad/sandbox.html', {
'image1': image1,
'function1': function1,
'genome1': genome1
})
else:
return render(request, 'conrad/sandbox.html', {
'image1': '',
'function1': ''
})
def gallery(request, sort, time, group, index):
try:
a = Artist.objects.get(pk=request.POST['artist'])
score = request.POST['score']
except (KeyError, Artist.DoesNotExist):
pass
else:
a.gallery_fitness += int(score)
a.seen += 1
a.voters.add(request.user)
a.gallery_voters.add(request.user)
a.save()
n = timezone.now()
if time == 'alltime':
time_filtered = Artist.objects.all()
else:
time_dict = {'day': 1, 'week': 7, 'month': 30, 'year': 365}
time_threshold = n - datetime.timedelta(time_dict[time])
time_filtered = Artist.objects.filter(created__gte=time_threshold)
if group == 'local':
filtered = time_filtered.filter(global_pop=False)
elif group == 'global':
filtered = time_filtered.filter(global_pop=True)
elif group == 'all':
filtered = time_filtered
else:
filtered = time_filtered.filter(user=group)
filtered = filtered.filter(seen__gte=1)
if sort == 'top':
top_images = filtered.order_by('-gallery_fitness')
elif sort == 'average':
top_images = sorted(filtered,
key=lambda x: x.mean_fitness,
reverse=True)
elif sort == 'best':
top_images = sorted(filtered,
key=lambda x: ((x.mean_fitness / 10)**2) *
(math.log(max(1, x.seen)) + 1),
reverse=True)
elif sort == 'recent':
top_images = sorted(filtered.filter(fitness__gte=9),
key=lambda x: x.created,
reverse=True)
top_images = top_images[index:index + 10]
if index < 10:
pindex = 0
else:
pindex = index - 10
lindex = (len(filtered) // 10) * 10
nindex = index + 10
for i in top_images:
if i.image == '':
im = GA.display(i.genome)
out = "{}.PNG".format(i)
storage_utils.upload(im, 'media/' + out)
i.image = out
i.save()
voted = [
i + 1 for i in range(len(top_images))
if top_images[i].voters.values().filter(
username=request.user.username).count()
]
context = {
'top_images': top_images,
'sort': sort,
'time': time,
'group': group,
'index': index,
'nindex': nindex,
'pindex': pindex,
'lindex': lindex,
'voted': voted
}
return render(request, 'conrad/gallery.html', context)
def global_game(request, population):
username = str(request.user)
if is_lazy_user(request.user):
request.session.guest = True
request.session.save()
request.session.modified = True
if not Artist.objects.filter(user=username):
if 'howto' not in request.session:
request.session['howto'] = True
return HttpResponseRedirect(
reverse('conrad:how_to') +
'?next={}'.format(reverse('conrad:global_game', args=[0])))
try:
artists = request.POST.getlist('artist[]')
scores = []
for i in range(1, 6):
scores.append(request.POST.get('score[{}]'.format(i)))
print(scores)
except (KeyError, Artist.DoesNotExist):
pass
else:
for i in range(len(artists)):
a = Artist.objects.get(pk=artists[i])
a.fitness += int(scores[i])
a.gallery_fitness += int(scores[i])
a.seen += 1
a.last_active = timezone.now()
a.voters.add(request.user)
a.save()
livepop = Artist.objects.filter(alive=True,
population=population,
global_pop=True)
conrad_utils.global_mate(a, livepop, username)
while len(
Artist.objects.filter(
alive=True, population=population, global_pop=True)) > 200:
candidate = conrad_utils.cull(
Artist.objects.filter(alive=True,
population=population,
global_pop=True))
victim = Artist.objects.get(pk=candidate.id)
victim.alive = False
victim.save()
alive_pop = Artist.objects.filter(alive=True,
population=population,
global_pop=True)
maxgen = max([a.generation for a in alive_pop])
top_images_temp = alive_pop.order_by('last_active')[:20]
top_images = random.sample(list(top_images_temp), 5)
for i in top_images:
if i.image == '':
im = GA.display(i.genome)
out = "{}.PNG".format(i)
storage_utils.upload(im, 'media/' + out)
i.image = out
i.save()
context = {
'top_images': top_images,
'population': population,
'username': username,
'maxgen': maxgen
}
return render(request, 'conrad/global.html', context)
def local(request, population):
username = str(request.user)
if is_lazy_user(request.user):
request.session.guest = True
if username == 'global':
return global_game(request, population)
for key in request.POST:
print(key)
value = request.POST[key]
print(value)
try:
artists = request.POST.getlist('artist[]')
scores = []
for i in range(1, 6):
scores.append(request.POST.get('score[{}]'.format(i)))
print(scores)
except (KeyError, Artist.DoesNotExist):
pass
else:
for i in range(len(artists)):
a = Artist.objects.get(pk=artists[i])
a.fitness = scores[i]
a.gallery_fitness = scores[i]
a.seen = True
a.last_active = timezone.now()
a.voters.add(request.user)
a.save()
if not Artist.objects.filter(
population=population, user=username, global_pop=False):
conrad_utils.newpop(30, 30, population, username)
return HttpResponseRedirect(
reverse('conrad:how_to') +
'?next={}'.format(reverse('conrad:local', args=[population])) +
'&newpop=True')
else:
currentpop = Artist.objects.filter(seen=False,
population=population,
user=username,
global_pop=False)
if not currentpop:
maxgen = max([
f.generation for f in Artist.objects.filter(
population=population, user=username, global_pop=False)
])
conrad_utils.newgen(
Artist.objects.filter(population=population,
generation=maxgen,
user=username,
global_pop=False))
return newgen(request, population, maxgen, username)
top_images = Artist.objects.filter(seen=False,
population=population,
user=username,
global_pop=False).order_by('member')[:5]
for i in top_images:
if i.image == '':
im = GA.display(i.genome)
out = "{}.PNG".format(i)
storage_utils.upload(im, 'media/' + out)
i.image = out
i.save()
context = {
'top_images': top_images,
'username': username,
'population': population
}
return render(request, 'conrad/local.html', context)