def get(self, name):
start, end = dates_from_request(self.request)
if start and end and start > end:
self.abort(400)
person = Person.get_by_key_name(name)
if not person:
self.abort(404)
query = person.lunch_orders
if start:
query.filter("date >= ", start)
if end:
query.filter("date <= ", end)
query.order("date")
template_values = {'count': query.count(),
'query': query,
'person': person,
'updated_at': Scraper.all().get().last_scrape}
if start:
template_values['start_str'] = start.strftime("%m/%d/%Y")
else:
template_values['start_str'] = "the beginning of time"
if end:
template_values['end_str'] = end.strftime("%m/%d/%Y")
else:
template_values['end_str'] = "the end of time"
template = JINJA_ENVIRONMENT.get_template('person_summary.html')
self.response.write(template.render(template_values))
def train(person_name, images):
if os.path.isdir(images):
images = [os.path.join(images, file_name) for file_name in os.listdir(images)]
elif os.path.isfile(images):
images = [images]
for image in images:
known_image = face_recognition.load_image_file(image)
# known_image = imutils.resize(known_image, width=500)
for biden_encoding in face_encodings(known_image):
person = Person(person_name, json.dumps((list(biden_encoding))))
session.add(person)
session.commit()
def get(self):
template_values = {'people': Person.all().run()}
template = JINJA_ENVIRONMENT.get_template('index.html')
self.response.write(template.render(template_values))
