def dev_step(dev_data):
print("test the model")
model.eval()
predict_entity=[]
gold_entity=[]
origin=0.
found=0.
correct=0.
for j in range(0,len(dev_data),config.batch_size):
batch = dev_data[j:j + config.batch_size]
sentence_tensor, tags_tensor, length_tensor = get_batch(batch)
_,paths=model(sentence_tensor,length_tensor)
for sentence,tags ,path,length in zip(sentence_tensor,tags_tensor,paths,length_tensor):
sentence=sentence[:length]
tags=tags[:length]
sentence=list(sentence.cpu().numpy())
tags=list(tags.cpu().numpy())
predict_entity=utils.calculate(sentence,path,config.id2words,config.id2tags)
gold_entity=utils.calculate(sentence,tags,config.id2words,config.id2tags)
origin+=len(gold_entity)
found+=len(predict_entity)
for p_tag in predict_entity:
if p_tag in gold_entity:
correct+=1
p=0. if found==0 else (correct/found)
r=0. if origin==0 else (correct/origin)
f1=0. if p+r==0 else (2*p*r)/(p+r)
print("precision : %.3f , recall : %.3f , f1 : %.3f " % (p,r,f1))
return f1
def test_calculate_case_subtract(self):
test_data = [
{"op1": 1, "op2": 2, "operator": "-", "output": -1},
{"op1": -7, "op2": 15, "operator": "-", "output": -22}
]
for test_case in test_data:
self.assertAlmostEqual(calculate(test_case["op1"], test_case["op2"],
test_case["operator"]),
test_case["output"])
def test_calculate_case_divide(self):
test_data = [
{"op1": 5, "op2": 3, "operator": "/", "output": 1.66666666667},
{"op1": -7, "op2": 15, "operator": "/", "output": -0.46666666666}
]
for test_case in test_data:
self.assertAlmostEqual(calculate(test_case["op1"], test_case["op2"],
test_case["operator"]),
test_case["output"])
def test_calculate_case_add(self):
test_data = [
{"op1": 1, "op2": 2, "operator": "+", "output": 3},
{"op1": -7, "op2": 15, "operator": "+", "output": 8}
]
for test_case in test_data:
self.assertAlmostEqual(calculate(test_case["op1"], test_case["op2"],
test_case["operator"]),
test_case["output"])
def test_calculate_case_multiply(self):
test_data = [
{"op1": 1, "op2": 2, "operator": "*", "output": 2},
{"op1": -7, "op2": 15, "operator": "*", "output": -105}
]
for test_case in test_data:
self.assertAlmostEqual(calculate(test_case["op1"], test_case["op2"],
test_case["operator"]),
test_case["output"])
def calc():
if request.method == 'GET':
return 'Hello, World!'
if request.method == 'POST':
data = request.get_json()
a = data['op1']
b = data['op2']
operator = data['op']
if operator not in ('+', '-', '/', '*'):
return 'Unexpected Operator!!'
else:
result = calculate(a, b, operator)
return jsonify({'result': result})
def create_pago(sender, instance, created, *args, **kwargs):
curso = instance.curso
if created and instance.method == 'deposit':
send_mail('curso_info', { 'curso': curso }, 'Informacion para realizar pago al %s de Mejorando.la INC' % curso.nombre, instance.email)
if instance.charged and not instance.sent:
vs = calculate(int(instance.quantity), curso.precio)
vs['curso'] = curso
vs['pago'] = instance
send_mail('curso_pago', vs, 'Gracias por tu pago al %s de Mejorando.la INC' % curso.nombre, instance.email)
instance.sent = True
instance.save()
def draw(x, y):
for _ in range(10):
c=0.0
scaleX = 99
scaleY = 59
x, y = calculate(x, y, random.random(), fern_type[fern])
if fern == 'mutant':
c = -80
scaleX = 130
scaleY = 70
X, Y = x*scaleX, y*scaleY
pygame.draw.circle(display, GREEN,
[int(WINDOW[0]//2 - 20 + X) , int(WINDOW[1] - Y + c)], 0)
pygame.display.update()
return x, y
def calc():
if request.method == 'GET':
return 'Hello, World!'
if request.method == 'POST':
data = request.get_json()
try:
a = data['op1']
b = data['op2']
operator = data['op']
if operator not in ('+', '-', '/', '*'):
return 'Unexpected Operator!!'
else:
result = calculate(a, b, operator)
return jsonify({'result': result})
except KeyError:
return 'Please provide the required arguments.', 400
def create_pago(sender, instance, created, *args, **kwargs):
curso = instance.curso
if created and instance.method == 'deposit':
send_mail(
'curso_info', {'curso': curso},
'Informacion para realizar pago al %s de Mejorando.la INC' %
curso.nombre, instance.email)
if instance.charged and not instance.sent:
vs = calculate(int(instance.quantity), curso.precio)
vs['curso'] = curso
vs['pago'] = instance
send_mail(
'curso_pago', vs,
'Gracias por tu pago al %s de Mejorando.la INC' % curso.nombre,
instance.email)
instance.sent = True
instance.save()
def calc():
my_client = pymongo.MongoClient("mongodb://localhost:27017/")
db = my_client["test_database"]
col = db['last_operation']
if request.method == 'GET':
records = [doc for doc in col.find(projection={'_id': 0})]
no_of_documents = col.count_documents({})
return jsonify({'records': records, 'total records': no_of_documents})
if request.method == 'POST':
data = request.get_json()
a = data['op1']
b = data['op2']
operator = data['op']
if operator not in ('+', '-', '/', '*'):
return 'Unexpected Operator!!'
else:
result = calculate(a, b, operator)
condition = {'operator': operator}
updated_result = {"$set": {'op1': a, 'op2': b, 'result': result}}
record = col.update_one(condition, updated_result, upsert=True)
return 'Result inserted successfully !!'
def start_services_terminals(services, slack_client):
config = load_config()
channel = config['slack']['channels']['server']
project = config['project']
# Calculate the needed x,y for terminals
calculate()
slack_client.api_call(
"chat.postMessage",
channel=channel['id'],
text="Beginning 'docker-compose up' for %s" % (services),
icon_emoji=':robot_face:'
)
if services == 'all':
services = project['services']
else:
names = re.split(',', services)
services = []
for service in project['services']:
if service['name'] in names:
services.append(service)
errors = []
t_width = project['t_size']['width']
t_height = project['t_size']['height']
window = config['display']['window']
for service in services:
geometry = "%sx%s+%s+%s" % (t_width, t_height, (service['t_x'] + window['leftPadding']), (service['t_y'] + window['topPadding']))
command = 'cd %s/%s; %s' % (project['dir'], service['dir'], 'docker-compose up; exit; exec $SHELL')
script = 'sudo gnome-terminal --geometry %s -- sh -c "%s"' % (geometry, command)
slack_client.api_call(
"chat.postMessage",
channel=channel['id'],
text="Beginning 'docker-compose up' for %s" % (service['name']),
icon_emoji=':robot_face:'
)
if os.system(script) != 0:
errors.append(service['name'])
slack_client.api_call(
"chat.postMessage",
channel=channel['id'],
text="Error running 'docker-compose up' for %s" % (service['name']),
icon_emoji=':robot_face:'
)
else:
slack_client.api_call(
"chat.postMessage",
channel=channel['id'],
text="Successful 'docker-compose up' for %s" % (service['name']),
icon_emoji=':robot_face:'
)
if len(errors) != 0:
slack_client.api_call(
"chat.postMessage",
channel=channel['id'],
text="Error running 'docker-compose up' for %s" % (errors),
icon_emoji=':robot_face:'
)
return False
else:
slack_client.api_call(
"chat.postMessage",
channel=channel['id'],
text="Successful ran 'docker-compose up'",
icon_emoji=':robot_face:'
)
return True
def test(args, processor, tokenizer, model, device, domains, tags_list):
if args.model is not None:
model = torch.load(args.model)
logging.info("Load model:" + args.model)
elif os.path.exists(os.path.join(args.output_dir, 'checkpoint-best.pkl')):
model = torch.load(os.path.join(args.output_dir, 'checkpoint-best.pkl'))
logging.info("Load model:" + os.path.join(args.output_dir, 'checkpoint-best.pkl'))
elif os.path.exists(os.path.join(args.output_dir, 'checkpoint-last.pkl')):
model = torch.load(os.path.join(args.output_dir, 'checkpoint-last.pkl'))
logging.info("Load model:" + os.path.join(args.output_dir, 'checkpoint-last.pkl'))
else:
logging.info("Error! The model file does not exist!")
exit(1)
start_time = time.time()
datasets = {}
all_sentence_num = 0
for domain in domains:
logging.info("--- {} ---".format(domain))
dataset, sentences = processor.load_test_dataset(os.path.join(args.data_dir, domain, "test.txt"), tokenizer,
tags_list)
all_sentence_num += len(dataset)
datasets[domain] = {
"dataset": dataset,
"sentences": sentences
}
model.eval()
logging.info("***** Running Testing *****")
logging.info(" Num examples = %d", all_sentence_num)
logging.info(" Batch size = %d", args.test_batch_size)
dataloader_dict = {}
for domain, dataset in datasets.items():
dataloader = torch.utils.data.DataLoader(dataset["dataset"], batch_size=args.test_batch_size, shuffle=False)
dataloader_dict[domain] = dataloader
all_data = {}
for domain, dataloader in dataloader_dict.items():
outputs, labels, mask_ids_list = get_one_domain_predict(dataloader, model, device,
"Test-{}".format(domain), args.architecture)
all_data[domain] = {
"outputs": outputs,
"labels": labels,
"mask_ids": mask_ids_list
}
_, predict_dict = evaluate(all_data, tags_list, "Testing", args.architecture, True)
test_dir = os.path.join(args.output_dir, "test")
if not os.path.exists(test_dir):
os.makedirs(test_dir)
all_data = {}
for domain in datasets:
sentences = datasets[domain]['sentences']
predict_list = predict_dict[domain]
write_data_list = []
m = 0
for i in range(len(sentences)):
sentence = sentences[i]
result = []
while len(result) < len(sentence):
predict, length = predict_list[m]
m += 1
predict_tags = ['O'] * length
for entity in predict:
if args.architecture == 'span':
tag = tags_list[entity[2] - 1]
elif args.architecture == 'softmax' or args.architecture == 'crf':
tag = entity[2]
predict_tags[entity[0] - 1] = "B-" + tag
for j in range(entity[0], entity[1] - 1):
predict_tags[j] = "I-" + tag
result += predict_tags
assert len(result) == len(sentence)
write_data = []
for j in range(len(sentence)):
write_data.append((sentence[j][0], sentence[j][1], result[j]))
write_data_list.append(write_data)
all_data[domain] = write_data_list
with open(os.path.join(args.output_dir, "test", "{}.txt".format(domain)), "w", encoding="utf8") as fout:
for sentence in write_data_list:
for data in sentence:
fout.write(data[0] + '\t' + data[1] + '\t' + data[2] + '\n')
fout.write('\n')
logging.info("Prediction data is written to directory: " + os.path.join(args.output_dir, "test") + '!')
end_time = time.time()
logging.info("Testing end, speed: {:.1f} sentences/s, all time: {:.2f}s".format(
all_sentence_num / (end_time - start_time), end_time - start_time))
def change_label(tags):
i = 0
result = []
while i < len(tags):
if tags[i][0] == "B":
class_type = tags[i][2:]
start_index = i
i += 1
while i < len(tags) and tags[i] == "I-" + class_type:
i += 1
result.append((start_index, i, class_type))
i -= 1
i += 1
return result
if args.architecture == 'span':
domain_entities_dict = {x: [0, 0, 0] for x in tags_list}
elif args.architecture == 'crf' or args.architecture == "softmax":
domain_entities_dict = {}
for tag in tags_list:
if tag[0] == 'B':
domain_entities_dict[tag[2:]] = [0, 0, 0]
for domain, write_data_list in all_data.items():
if args.architecture == "span":
entities_dict = {x: [0, 0, 0] for x in tags_list}
else:
entities_dict = {}
for tag in tags_list:
if tag[0] == 'B':
entities_dict[tag[2:]] = [0, 0, 0]
for sentence in write_data_list:
predict_data = []
label_data = []
for data in sentence:
predict_data.append(data[2])
label_data.append(data[1])
predict_list = change_label(predict_data)
label_list = change_label(label_data)
for label in label_list:
entities_dict[label[2]][1] += 1
for predict in predict_list:
entities_dict[predict[2]][0] += 1
if predict in label_list:
entities_dict[predict[2]][2] += 1
all_result = [0, 0, 0]
for entity in entities_dict:
if entities_dict[entity][1] > 0:
for i in range(len(entities_dict[entity])):
all_result[i] += entities_dict[entity][i]
logging.info("***** {} *****".format(domain))
p, r, f1 = calculate(all_result)
logging.info("ALL Precision={:.4f}, Recall={:.4f}, F1={:.4f}, predict: {}, truth: {}, right: {}".format(
p, r, f1, all_result[0], all_result[1], all_result[2]))
for tag_type in entities_dict:
if entities_dict[tag_type][1] > 0:
p, r, f1 = calculate(entities_dict[tag_type])
logging.info("{} Precision={:.4f}, Recall={:.4f}, F1={:.4f}, predict: {}, truth: {}, "
"right: {}".format(tag_type, p, r, f1, entities_dict[tag_type][0],
entities_dict[tag_type][1], entities_dict[tag_type][2]))
for entity in entities_dict:
if entities_dict[entity][1] > 0:
for i in range(len(entities_dict[entity])):
domain_entities_dict[entity][i] += entities_dict[entity][i]
all_result = [0, 0, 0]
for entity in domain_entities_dict:
for i in range(len(domain_entities_dict[entity])):
all_result[i] += domain_entities_dict[entity][i]
logging.info("***** ALL *****")
p, r, f1 = calculate(all_result)
logging.info("ALL Precision={:.4f}, Recall={:.4f}, F1={:.4f}, predict: {}, truth: {}, right: {}".format(
p, r, f1, all_result[0], all_result[1], all_result[2]))
for tag_type in domain_entities_dict:
p, r, f1 = calculate(domain_entities_dict[tag_type])
logging.info("{} Precision={:.4f}, Recall={:.4f}, F1={:.4f}, predict: {}, truth: {}, "
"right: {}".format(tag_type, p, r, f1, domain_entities_dict[tag_type][0],
domain_entities_dict[tag_type][1], domain_entities_dict[tag_type][2]))
def evaluate(data, tags_list, title, mode, test_flag=False):
def change_label_span(start_tags, end_tags, length):
i = 0
result = []
while i < length - 1:
if start_tags[i] != 0:
tag = start_tags[i]
start_index = i
while i < length and end_tags[i] == 0:
i += 1
if i < length and end_tags[i] == tag:
result.append((start_index, i + 1, tag.item()))
i += 1
return result
result_f1 = None
result_dict = {}
if mode == 'span':
domain_entities_dict = {x + 1: [0, 0, 0] for x in range(len(tags_list))}
logging.info("***** {} Evaluation *****".format(title))
for domain, domain_data in data.items():
outputs = domain_data['outputs']
labels = domain_data['labels']
mask_ids = domain_data["mask_ids"]
sentence_num = outputs['num']
if mode == 'span':
entities_dict = {x + 1: [0, 0, 0] for x in range(len(tags_list))}
result_list = []
for i in range(sentence_num):
if mode == 'span':
length = mask_ids[i].sum()
predict_list = change_label_span(outputs['start_outputs'][i], outputs['end_outputs'][i], length)
result_list.append((predict_list, length - 2))
if not test_flag:
if mode == 'span':
label_list = change_label_span(labels['start_labels_ids'][i], labels['end_labels_ids'][i], length)
for label in label_list:
entities_dict[label[2]][1] += 1
for predict in predict_list:
entities_dict[predict[2]][0] += 1
if predict in label_list:
entities_dict[predict[2]][2] += 1
result_dict[domain] = result_list
if not test_flag:
all_result = [0, 0, 0]
for entity in entities_dict:
for i in range(len(entities_dict[entity])):
all_result[i] += entities_dict[entity][i]
logging.info("***** {} *****".format(domain))
p, r, f1 = calculate(all_result)
logging.info("ALL Precision={:.4f}, Recall={:.4f}, F1={:.4f}, predict: {}, truth: {}, right: {}".format(
p, r, f1, all_result[0], all_result[1], all_result[2]))
for tag_type in entities_dict:
if mode == "span":
tag = tags_list[tag_type - 1]
p, r, f1 = calculate(entities_dict[tag_type])
logging.info("{} Precision={:.4f}, Recall={:.4f}, F1={:.4f}, predict: {}, truth: {}, "
"right: {}".format(tag, p, r, f1, entities_dict[tag_type][0],
entities_dict[tag_type][1], entities_dict[tag_type][2]))
for entity in entities_dict:
for i in range(len(entities_dict[entity])):
domain_entities_dict[entity][i] += entities_dict[entity][i]
if not test_flag:
all_result = [0, 0, 0]
for entity in domain_entities_dict:
for i in range(len(domain_entities_dict[entity])):
all_result[i] += domain_entities_dict[entity][i]
logging.info("***** ALL *****")
p, r, f1 = calculate(all_result)
logging.info("ALL Precision={:.4f}, Recall={:.4f}, F1={:.4f}, predict: {}, truth: {}, right: {}".format(
p, r, f1, all_result[0], all_result[1], all_result[2]))
result_f1 = f1
for tag_type in domain_entities_dict:
if mode == "span":
tag = tags_list[tag_type - 1]
p, r, f1 = calculate(domain_entities_dict[tag_type])
logging.info("{} Precision={:.4f}, Recall={:.4f}, F1={:.4f}, predict: {}, truth: {}, "
"right: {}".format(tag, p, r, f1, domain_entities_dict[tag_type][0],
domain_entities_dict[tag_type][1], domain_entities_dict[tag_type][2]))
return result_f1, result_dict
sys.exit(2)
for o, a in opts:
if o == '-d':
utils.dictionary_file = a
elif o == '-p':
utils.postings_file = a
elif o == '-q':
utils.file_of_queries = a
elif o == '-o':
utils.output_file_of_results = a
else:
assert False, "unhandled option"
if utils.dictionary_file == None or utils.postings_file == None or utils.file_of_queries == None or utils.output_file_of_results == None:
usage()
sys.exit(2)
utils.initialize()
f = open(utils.file_of_queries)
f_ans = open(utils.output_file_of_results, 'w')
for line in f:
# transform the infix expression to postfix expression
expr = utils.transform(line.strip())
# calculate the result of the postfix expression
result = utils.calculate(expr)
# output the result to file
write_to_file(f_ans, result)
f.close()
f_ans.close()
def curso(req, curso_slug):
if req.method == 'POST':
curso = get_object_or_404(Curso, slug=curso_slug)
vs = {'curso': curso} # variables para el rendereo de la plantilla
action = req.POST.get('action')
if action and curso.activado:
if action == 'buy':
nombre = req.POST.get('nombre')
email = req.POST.get('email')
tel = req.POST.get('telefono')
quantity = req.POST.get('quantity')
token = req.POST.get('stripeToken')
if email:
try:
validate_email(email)
except ValidationError:
email = False
# si ya ha pagado hoy
if CursoPago.objects.filter(email=email, curso=curso, charged=True, fecha__gt=datetime.now() - timedelta(days=1)).exists():
return HttpResponse('ERR ALREADY COMPLETED')
if CursoPago.objects.filter(email=email, curso=curso, charged=False, fecha__gt=datetime.now() - timedelta(days=1)).count() > 5:
return HttpResponse('ERR TOO MANY TRIES')
if nombre and email and tel and quantity and token:
# realizar el cargo con la api de stripe
p = CursoPago(nombre=nombre, email=email, telefono=tel, pais=get_pais(req.META), ip=get_ip(req.META), ua=req.META['HTTP_USER_AGENT'], quantity=quantity, curso=curso, method='card')
p.save()
concept = calculate(int(quantity), curso.precio)
try:
charge = stripe.Charge.create(
amount=concept['amount'] * 100,
currency='usd',
card=token,
description=email
)
except Exception, e:
p.error = str(e)
p.save()
send_mail(u'¿Podemos ayudarte de alguna forma?', u'Vimos que tuviste problemas pagando el %s de Mejorando.la\n¿Podemos ayudarte de alguna forma?\nNo olvides que puedes contactarnos vía skype en mejorandola' % curso.nombre, 'Ventas Mejorando.la <*****@*****.**>', [p.email], fail_silently=True)
return HttpResponse('ERR')
# si no se realiza el cargo regresar error
if not charge.paid:
return HttpResponse('ERR')
p.charged = True
p.save()
req.session['p32'] = p.id
return HttpResponse('OK')
else:
return HttpResponse('ERR')
elif action == 'deposit' or action == 'paypal':
nombre = req.POST.get('nombre')
email = req.POST.get('email')
tel = req.POST.get('telefono')
quantity = req.POST.get('quantity')
if email:
try:
validate_email(email)
except ValidationError:
email = False
if CursoPago.objects.filter(email=email, curso=curso, charged=False, fecha__gt=datetime.now() - timedelta(days=1)).count() > 5:
return HttpResponse('ERR TOO MANY TRIES')
if nombre and email and tel and quantity:
p = CursoPago(nombre=nombre, email=email, telefono=tel, pais=get_pais(req.META), ip=get_ip(req.META), ua=req.META['HTTP_USER_AGENT'], quantity=quantity, curso=curso, method=action)
p.save()
return HttpResponse('OK')
else:
return HttpResponse('ERR')
elif action == 'register':
email = req.POST.getlist('email')
pago = req.session.get('p32')
if email and pago:
p = get_object_or_404(CursoPago, id=pago)
# no permitir registro sin haber pagado
if not p.charged:
return HttpResponse('ERR')
for e in email:
r = CursoRegistro(email=e, pago=p)
r.save()
return HttpResponse('OK')
else:
return HttpResponse('ERR')
else:
return HttpResponse('ERR')
else:
return HttpResponse('ERR')
needed = {}
# 如果长度不相等
if len(items) != len(count):
print("Command line parameter error")
exit(-1)
# 将需要的设置成字典
for i in range(0, len(items)):
needed[items[i]] = int(count[i])
# 获得表
table = data_manage.get_table()
# 获得数据
while utils.calculate(table, needed, exist)[1]:
needed = utils.calculate(table, needed, exist)[0]
# print(needed)
print("Raw data: {}".format(str(needed)))
# 处理数据
for (key, value) in needed.items():
if value >= 64:
if value % 64 != 0:
print(
"{}: {}组{}个".format(
key,
int(value // 64),
int(value % 64),
)
def curso(req, curso_slug):
if req.method == 'POST':
curso = get_object_or_404(Curso, slug=curso_slug)
vs = { 'curso': curso } # variables para el rendereo de la plantilla
action = req.POST.get('action')
if action:
if action == 'buy':
nombre = req.POST.get('nombre')
email = req.POST.get('email')
tel = req.POST.get('telefono')
quantity = req.POST.get('quantity')
token = req.POST.get('stripeToken')
if nombre and email and tel and quantity and token:
# realizar el cargo con la api de stripe
p = CursoPago(nombre=nombre, email=email, telefono=tel, pais=get_pais(req.META), quantity=quantity, curso=curso, method='card')
p.save()
concept = calculate(int(quantity), curso.precio)
try:
charge = stripe.Charge.create(
amount = concept['amount']*100,
currency = 'usd',
card = token,
description = email
)
except: return HttpResponse('ERR')
# si no se realiza el cargo regresar error
if not charge.paid: return HttpResponse('ERR')
p.charged = True
p.save()
req.session['p32'] = p.id
return HttpResponse('OK')
else: return HttpResponse('ERR')
elif action == 'deposit' or action == 'paypal':
nombre = req.POST.get('nombre')
email = req.POST.get('email')
tel = req.POST.get('telefono')
quantity = req.POST.get('quantity')
if nombre and email and tel and quantity:
p = CursoPago(nombre=nombre, email=email, telefono=tel, pais=get_pais(req.META), quantity=quantity, curso=curso, method=action)
p.save()
return HttpResponse('OK')
else: return HttpResponse('ERR')
elif action == 'register':
email = req.POST.getlist('email')
pago = req.session.get('p32')
if email and pago:
p = get_object_or_404(CursoPago, id=pago)
# no permitir registro sin haber pagado
if not p.charged: return HttpResponse('ERR')
for e in email:
r = CursoRegistro(email=e, pago=p)
r.save()
return HttpResponse('OK')
else: return HttpResponse('ERR')
else: return HttpResponse('ERR')
else: return HttpResponse('ERR')
try:
curso = Curso.objects.get(slug=curso_slug)
except Curso.DoesNotExist: curso = None
vs = RequestContext(req, { 'curso': curso, 'publishable_key': settings.STRIPE_PUBLISHABLE_KEY })
try:
return render_to_response('%s.html' % curso_slug, vs)
except TemplateDoesNotExist:
if not curso: raise Http404
return render_to_response('cursos/curso.html', vs)
(True, 'expen-ses food dinner cost = 20'),
(False, 'test'),
(False, 'expenses food dinner cost:30'),
(False, '@2015-10-03T08:30 dinner cost=30 @2015-10-05:03:20'),
]
results = []
for i, t in enumerate(tests):
if i != 0 and False:
continue
r, s = t
try:
results += [(r, s, None)]
data = parser.parse(s, parser.token_exprs)
if not r:
r = not r
raise Exception('False Positive')
print '%02d Pass' % (i + 1)
results[-1] = (r, s, data)
except Exception, e:
if not r:
print '%02d Pass' % (i + 1)
else:
print '%02d FAIL: %s' % (i + 1, e)
all_data = [r[-1] for r in results if r[-1] is not None]
print utils.calculate(all_data, lambda d: 'food' in d, utils.mean, 'cost')
print utils.calculate(all_data, lambda d: 'food' in d, utils.mean, 'cost', 'rest')
print utils.calculate(all_data, lambda d: 'food' in d, len, 'cost', 'rest')
def curso(req, curso_slug):
if req.method == 'POST':
curso = get_object_or_404(Curso, slug=curso_slug)
vs = { 'curso': curso } # variables para el rendereo de la plantilla
action = req.POST.get('action')
if action:
if action == 'buy':
nombre = req.POST.get('nombre')
email = req.POST.get('email')
tel = req.POST.get('telefono')
quantity = req.POST.get('quantity')
token = req.POST.get('stripeToken')
if nombre and email and tel and quantity and token:
# realizar el cargo con la api de stripe
p = CursoPago(nombre=nombre, email=email, telefono=tel, pais=get_pais(req.META), quantity=quantity, curso=curso, method='card')
p.save()
concept = calculate(int(quantity), curso.precio)
try:
charge = stripe.Charge.create(
amount = concept['amount']*100,
currency = 'usd',
card = token,
description = email
)
except Exception, e:
p.error = str(e)
p.save()
send_mail(u'¿Podemos ayudarte de alguna forma?', u'Vimos que tuviste problemas pagando el %s de Mejorando.la\n¿Podemos ayudarte de alguna forma?\nNo olvides que puedes contactarnos vía skype en mejorandola' % curso.nombre, 'Ventas Mejorando.la <*****@*****.**>', [p.email], fail_silently=True)
return HttpResponse('ERR')
# si no se realiza el cargo regresar error
if not charge.paid: return HttpResponse('ERR')
p.charged = True
p.save()
req.session['p32'] = p.id
return HttpResponse('OK')
else: return HttpResponse('ERR')
elif action == 'deposit' or action == 'paypal':
nombre = req.POST.get('nombre')
email = req.POST.get('email')
tel = req.POST.get('telefono')
quantity = req.POST.get('quantity')
if nombre and email and tel and quantity:
p = CursoPago(nombre=nombre, email=email, telefono=tel, pais=get_pais(req.META), quantity=quantity, curso=curso, method=action)
p.save()
return HttpResponse('OK')
else: return HttpResponse('ERR')
elif action == 'register':
email = req.POST.getlist('email')
pago = req.session.get('p32')
if email and pago:
p = get_object_or_404(CursoPago, id=pago)
# no permitir registro sin haber pagado
if not p.charged: return HttpResponse('ERR')
for e in email:
r = CursoRegistro(email=e, pago=p)
r.save()
return HttpResponse('OK')
else: return HttpResponse('ERR')
else: return HttpResponse('ERR')
else: return HttpResponse('ERR')
