def reco():
property_name = request.form.get('property_name')
property_code = request.form.get('property_code')
flag_name = request.form.get('flag_name')
num_of_rooms = request.form.get('num_of_rooms', type=int)
location_type = request.form.get('location_type')
state = request.form.get('state')
revenue = request.form.get('revenue', type=float)
profit_margin = request.form.get('profit_margin', type=float)
occupancy_rate = request.form.get('occupancy_rate', type=float)
store = Store(property_name, property_code, flag_name, num_of_rooms,
revenue, profit_margin, occupancy_rate, location_type, state)
cluster = model.predict(store)
spor = model.predict_spor(store)
profit_margin = model.predict_profit_margin(store)
stores = model.predict_comparable_stores(store, 5)
store_hat = store.upgrade_to(spor=spor, profit_margin=profit_margin)
return render_template("reco.html",
store=store,
cluster=cluster,
store_hat=store_hat,
stores=stores.tolist())
def _getDefaultStore(self):
query = Store.gql('where name = :name', name='default')
store = query.get()
if store == None:
store = Store(name='default', merchantid='0', useSandbox='true')
store.put()
return store
class GenFE(object):
'''
generate fixed number entity
'''
def __init__(self, ent, ent_size, db):
self.ent = ent
self.ent_size = ent_size
self.db = db
self.start_idx = 0
self.db_handler = Store(self.db)
self.db_handler.connect()
def set_start_idx(self, n):
self.start_idx = n
def start(self, max_id):
# max_id: the max id should be generated
count = max_id - start_idx + 1
if count < 1:
return
data = gen_data(self.ent, self.ent_size, self.start_idx, count)
self.start_idx += count
# dump data to db
name = self.ent['alias']
sql = 'insert into %s values (?' % (name)
if 'tag' in self.ent:
sql = sql + ', ?'
if 'attr' in self.ent:
sql = sql + ', ?' * len(self.ent['attr'])
sql = sql + ')'
try:
self.db_handler.insert_many(sql, data)
except Exception as e:
raise e
print('[Node Generation]: Name %s, Max ID %s' % (name, max_id))
def __init__(self, ent, ent_size, db):
self.ent = ent
self.ent_size = ent_size
self.db = db
self.start_idx = 0
self.db_handler = Store(self.db)
self.db_handler.connect()
def __init__(self, db, dic, parent_conn, src_dic, ent_size, tgt_dic=None, mode='local'):
'''
db : db name
dic : the relation dict of the config
parent_conn: server conn
1, rel data
2, src nodes: n
3, tgt nodes: m
src_dic : src node config dict
ent_size: the number of nodes of each entity
tgt_dic : tgt node config dict
if is None, then tgt_dic == src_dic, e.g. user -> user
mode : local (default), dump edge locally
: u-level, dump edge and node in parent process
'''
self.parent_conn = parent_conn
self.rel_dict = dic
self.db_name = db
self.src_dic = src_dic
self.tgt_dic = tgt_dic
self.mode = mode
self.ent_size = ent_size
self.db_handler = Store(db)
self.db_handler.connect()
# parameters of in/out distributions
# TODO: other type of distribution
if dic['in']['type'] == 'power_law':
mind, maxd, midd = 0, -1, -1
if 'min_degree' in dic['in']:
mind = dic['in']['min_degree']
if 'max_degree' in dic['in']:
maxd = dic['in']['max_degree']
if 'mid_degree' in dic['in']:
midd = dic['in']['mid_degree']
if isinstance(dic['in']['lambd'], list):
self.indistr_ins = PWL(0, dic['in']['lambd'][0], dic['in']['lambd'][1], mind, maxd, midd)
else:
self.indistr_ins = PWL(0, dic['in']['lambd'], min_degree=mind, max_degree=maxd, mid_degree=midd)
elif dic['in']['type'] == 'uniform':
self.indistr_ins = Uniform(0, dic['in']['min'], dic['in']['max'])
if dic['out']['type'] == 'power_law':
mind, maxd, midd = 0, -1, -1
if 'min_degree' in dic['out']:
mind = dic['out']['min_degree']
if 'max_degree' in dic['out']:
maxd = dic['out']['max_degree']
if 'mid_degree' in dic['out']:
midd = dic['out']['mid_degree']
if isinstance(dic['out']['lambd'], list):
self.outdistr_ins = PWL(0, dic['out']['lambd'][0], dic['out']['lambd'][1], mind, maxd, midd)
else:
self.outdistr_ins = PWL(0, dic['out']['lambd'], min_degree=mind, max_degree=maxd, mid_degree=midd)
elif dic['out']['type'] = 'uniform':
self.outdistr_ins = Uniform(0, dic['out']['min'], dic['out']['max'])
def __init__(self, dic, db, in_, out, cutoff=6):
'''
dic: the dict info of one type edge
db : db file name, store the generated graph data
'''
self.rel_dict = dic
self.db_name = db
self.db_handler = Store(db)
self.db_handler.connect()
self.cutoff = cutoff
self.in_cnt = in_
self.out_cnt = out
def make_stores():
""" Make fake stores and load into database. """
print 'Making Stores...'
# Since I like to run this file over and over again:
Store.query.delete()
for row in open('misc/seed_stores.txt'):
row = row.rstrip()
store_id, name, address, city, state, zipcode, phone = row.split('\t')
store_id = "{:0>3}".format(store_id)
zipcode = "{:0>5}".format(zipcode)
district_id = get_random_district()
# Instantiate a store using Store class in model.py! Woohoo!
store = Store(store_id=store_id,
name=name,
address=address,
phone=phone,
city=city,
state=state,
zipcode=zipcode,
district_id=district_id)
# Add to db
db.session.add(store)
db.session.commit()
def check_order_store_quantity(store_id, oid):
result = 0
items = OrderItem.select().where(OrderItem.order == oid)
r = 0
if store_id:
for i in items:
if i.product.is_store == 1: # and i.product.store.id == int(store_id)
r += 1
else:
r += check_store_product_quantity(store_id,
i.product_standard.id)
if r == items.count():
result = 1
else:
list = []
order = Order.get(Order.id == oid)
store = Store.select().where(Store.status == 1)
sid = 0
for s in store:
ss = getDistanceAS(order.take_address.replace(' ', ''), s.id)
if ss['flag'] == 1:
list.append(float(ss['data']))
if float(ss['data']) < setting.PeiSongDistance:
sid = s.id
for i in items:
if i.product.is_store == 1 and i.product.store.id == sid:
r += 1
else:
r += check_store_product_quantity(sid, i.product_standard.id)
if r == items.count():
result = 1
return result
def fill_product(self, dictcat):
"""Fill the table products and store."""
if self.session.query(Products.id).count() == 0:
for key in dictcat.keys():
select_product.extract(key, dictcat[key])
for prod in select_product.product_list:
print(f"Downloading products: {prod}")
if prod[0] and prod[1] != 'NULL' or '':
newstore = Store(name_store=prod[3])
self.session.add(newstore)
self.session.commit()
store = self.session.query(Store.id).count()
newproduct = Products(name=prod[0],
name_nut=prod[1],
name_url=prod[2],
store_name=prod[3],
categorie_id=prod[4],
store_id=store)
self.session.add(newproduct)
self.session.commit()
select_product.product_list.remove(prod)
else:
pass
else:
pass
def post(self):
username = self.get_argument("username", None)
password = self.get_argument("password", None)
if username and password:
try:
user = AdminUser.get(AdminUser.username == username)
if user.check_password(password):
if user.isactive == 1:
if not user.store:
storeid = 0
else:
storeid = user.store
if not user.front_user:
frontuserid = 0
else:
frontuserid = user.front_user
qstore = Store.select().where(Store.id == storeid)
qfront_user = User.select().where(
User.id == frontuserid)
if qstore.count() > 0 and qfront_user.count() > 0:
user.updatesignin()
self.session['store'] = user
self.session.save()
self.redirect("/store/index")
return
else:
self.flash("此帐户未关联经销商或经销商未绑定前台用户。")
else:
self.flash("此账户被禁止登录，请联系管理员。")
else:
self.flash("密码错误")
except Exception, e:
print e
self.flash("此用户不存在")
def create():
try:
store=Store(
code= request.json['code'] or None,
name=request.json['name'],
online=request.json['online'] or False,
website=request.json['website'] or None,
longitude=request.json['longitude'] or None,
latitude=request.json['latitude'] or None,
source='OWN',
source_id=request.json['source_id'] or None
)
database.session.add(store)
database.session.commit()
return jsonify({ 'status': 'OK', 'store': store.serialize() }), 201
except Exception as e:
return jsonify({ 'status': 'ERROR', 'error': str(e) }), 500
def delete(self, name):
store = Store.find_by_name(name)
if store:
try:
store.delete()
except Exception:
return {'message': 'Unable to delete store at this time.'}, 500
else:
return {'message': 'Store deleted'}
def render(self):
client_store = self.handler.get_secure_cookie('store', None)
if client_store:
sid = simplejson.loads(client_store)
s = Store.get(Store.id == sid)
name = s.name
else:
name = u'实体店'
return name
def setUp(self):
super(TestCRUDController, self).setUp()
self.store = Store()
self.app = self.parent = cimarron.skin.Application()
self.widget = CRUDController.fromXmlFile('test/testCrud.xml')
self.widget.parent = self.parent
self.window = self.widget.window
self.widget.store = self.store
person = Person.__values__[0]
self.setUpControl(target=person, attr=None)
def post(self):
result = {"flag": 0, "msg": "", "data": ""}
try:
args = simplejson.loads(self.request.body)
username = args["username"]
password = args["password"]
if username and password:
quser = AdminUser.select().where(
AdminUser.username == username)
if quser.count() > 0 and quser[0].check_password(password):
user = quser[0]
if user.isactive == 1:
if self.vrole("J", user.roles):
if not user.store:
storeid = 0
else:
storeid = user.store
if not user.front_user:
frontuserid = 0
else:
frontuserid = user.front_user
qstore = Store.select().where(Store.id == storeid)
qfront_user = User.select().where(
User.id == frontuserid)
if qstore.count() > 0 and qfront_user.count() > 0:
user.updatesignin()
result["flag"] = 1
result["data"] = {
'adminid': user.id,
'storeid': qstore[0].id,
'front_user': user.front_user,
'storename': qstore[0].name,
}
else:
result["flag"] = 0
result["msg"] = "此帐户未关联经销商或经销商未绑定前台用户。"
else:
result["flag"] = 0
result["msg"] = "此账户没有经销商的登录权限。"
else:
result["flag"] = 0
result["msg"] = "此账户被禁止登录，请联系管理员。"
else:
if quser.count() > 0:
result["flag"] = 0
result["msg"] = "密码错误。"
else:
result["flag"] = 0
result["msg"] = "此用户不存在"
else:
result["flag"] = 0
result["msg"] = "请输入用户名或者密码"
except Exception, e:
result["flag"] = 0
result["msg"] = e
def estimateR_weighted(S, W, D, R0):
'''
estimates the update of the rotation matrix for the second part of the iterations
:param S : shape
:param W : heatmap
:param D : weight of the heatmap
:param R0 : rotation matrix
:return: R the new rotation matrix
'''
A = np.transpose(S)
B = np.transpose(W)
X0 = R0[0:2, :]
store_E = Store()
[m, n] = A.shape
p = B.shape[1]
At = np.zeros([n, m])
At = np.transpose(A)
# we use the optimization on a Stiefel manifold because R is constrained to be othogonal
manifold = Stiefel(n, p, 1)
####################################################################################################################
def cost(X):
'''
cost function of the manifold, the cost is trace(E'*D*E)/2 with E = A*X - B or store_E
:param X : vector
:return f : the cost
'''
if store_E.stored is None:
store_E.stored = np.dot(A, np.transpose(X)) - B
E = store_E.stored
f = np.trace(np.dot(np.transpose(E), np.dot(D, E))) / 2
return f
####################################################################################################################
# setup the problem structure with manifold M and cost
problem = Problem(manifold=manifold, cost=cost, verbosity=0)
# setup the trust region algorithm to solve the problem
TR = TrustRegions(maxiter=10)
# solve the problem
X = TR.solve(problem, X0)
#print('X : ',X)
return np.transpose(X) # return R = X'
def setUp(self):
super(TestEditor, self).setUp()
self.store = Store()
self.parent = self.window = cimarron.skin.Window()
# self.widget = cimarron.skin.Editor(store=self.store,
# attributes=['name', 'surname'])
self.widget = Editor.fromXmlFile('test/editor.xml')
self.widget.parent = self.parent
self.widget.store = self.store
self.entry = self.widget.entries.children[0]
self.setUpControl(target=Person('Marcos', 'Dione'), attr=None)
class Main(object):
'''
main procedure
Input : scheme
Output: social network data, saved to sqlite
'''
def __init__(self, scheme):
self.scheme = scheme
self.db_name = scheme['alias'] + '.db'
self.db_handler = Store(self.db_name)
self.db_handler.connect()
def create_db(self):
try:
crt_db_sql = tbl_sql(self.scheme)
# with open('ddl.sql', 'w') as f:
# f.write(crt_db_sql)
self.db_handler.execute_script(crt_db_sql)
print('Create db %s done' % self.db_name)
except Exception as e:
raise e
def clear_db(self):
try:
dlt_sql = delete_sql(self.scheme)
self.db_handler.execute_script(dlt_sql)
print('clear db %s done' % (self.db_name))
except Exception as e:
raise e
def process(self):
pass
def __init__(self, config, lowtran, hightran, device):
self.config = config
self.device = device
self.lownet = lowPolicy(config.get('feature_dim'),
config.get('action_dim'),
config.get('num_options'),
config.get('hidden_dim')).double().to(
self.device)
self.highnet = OptionNet(config.get('num_options'),
config.get('feature_dim'),
config.get('hidden_dim')).double().to(
self.device)
self.lowmemory = Store(lowtran, config.get('buffer_cap'),
config.get('batch_size'))
self.highmemory = Store(hightran, config.get('buffer_cap'),
config.get('batch_size'))
self.lowoptimizition = torch.optim.Adam(self.lownet.parameters(),
lr=config.get('low_lr'))
self.highoptimizition = torch.optim.Adam(self.highnet.parameters(),
lr=config.get('high_lr'))
self.start_list = config.get('start_list')
self.end_list = config.get('end_list')
def create_store(store_name, address_id, store_website, web_only_indicator):
"""Create and return a store."""
store = Store(store_name=store_name,
address_id = address_id,
store_website = store_website,
web_only_indicator = web_only_indicator
)
db.session.add(store)
db.session.commit()
return store
def store_add():
if request.method == 'POST':
if request.form.get('store_id'):
store = get_object_or_404(Store, Store.id == request.form['store_id'])
store.name = request.form['name']
store.save()
flash('Store #%d updated successfully.' % (store.id,), 'success')
else:
name = request.form['name']
if name == "":
flash('Store needs to have a name', 'danger')
else:
store = Store.create(name=name)
flash('Store %s created successfully.' % (name,), 'success')
return jsonify(success=True)
return render_template('store.html')
def post(self, name):
if Item.find_by_name(name):
return {'message': 'item already exists'}
data = ItemResource.parser.parse_args()
if Store.find_by_id(data['store_id']) is None:
return {'message': 'invalid store_id'}
item = Item(name, data['price'], data['store_id'])
try:
item.persist()
except Exception:
return {'message': 'error occurred while creating item'}, 500
else:
return item.json(), 201
def post(self, name):
if Store.find_by_name(name):
return {'message': 'Store already exists.'}, 400
store = Store(name)
try:
store.persist()
except Exception:
return {'message': 'error occurred while creating store'}, 500
else:
return store.json(), 201
def add_nancy():
""" Adds me & corp to the employee & store tables """
corp_store = Store(store_id='999',
name='Corporate Headquarters',
address='400 Valley Drive',
city='Brisbane',
state='CA',
zipcode='94005', phone='(415) 555-1234',
district_id='D99')
nancy = Employee(emp_id='09332', fname='Nancy',
lname='Reyes', ssn='123-45-6789',
password='******', store_id='999', pos_id='99-HQ')
db.session.add_all([nancy, corp_store])
db.session.commit()
def optimizer_R_v1(W, D, S, R0):
"""
:param W: heatmap constant
:param D: weight of the keypoints
:param S: shape of the object
:param R0: initial R
:return : the optimal R with fixed T and s
the cost is ||(W-(RS))*sqrt(D)|| but in fact is the scale factor is already taken into account in S and T is taken into account in W
"""
# this store object is needed because the manifold optimizer do not works if it is not implemented like that
store = Store()
# -------------------------------------COST FUNCTION-------------------------------------
def cost(R):
"""
:param R: rotation matrix variable
:return : ||(W-(RS))*D^1/2||^2 = tr((W-(RS))*D*(W-(RS))')
"""
if store.stored is None:
store.stored = W - np.dot(R, S)
X = store.stored
f = np.trace(np.dot(X, np.dot(D, np.transpose(X)))) / 2
return f
# ----------------------------------------------------------------------------------------
# we use the optimization on a Stiefel manifold because R is constrained to be othogonal
manifold = Stiefel(3, 2, 1)
# setup the problem structure with manifold M and cost
problem = Problem(manifold=manifold, cost=cost, verbosity=0)
# setup the trust region algorithm to solve the problem
TR = TrustRegions(maxiter=15)
# solve the problem
R_opt = TR.solve(problem, R0)
return np.transpose(R_opt)
def virtual_creation():
with dm.session_scope() as db:
stores = []
for i in range(STORES_NUM):
store = Store(name="Tienda {}".format(i),
latitude=0.0,
longitude=0.0)
offers = []
for j in range(PRODUCTS_PER_STORE):
pr = Product(
store=store,
name="Product {},{}".format(i, j),
img_url=
"http://www.lavozlibre.com/userfiles/2a_decada/image/FOTOS%202013/04%20ABRIL%202013/02%20ABRIL%202013/yogures.jpg",
price="3€")
offers.append(Offer(product=pr, offer_price="2€", store=store))
store.products.append(pr)
db.add_all(offers)
stores.append(store)
db.add_all(stores)
def getMinDistanceStore(address):
result = {"flag": 0, "msg": "", "data": ""}
try:
if address:
if address.count('枫林绿洲') > 0:
address = address.replace('小区', '')
qstore = Store.select().where((Store.status == 1)
& (Store.storetype == 0))
point = getPointByAddress(address)
minDistance = 10000
minStore = None
for store in qstore:
minD = getDistance(point["lng"], point["lat"], float(store.x),
float(store.y))
if minD < minDistance:
minDistance = minD
minStore = store
if minDistance > 0 and minStore and minDistance < minStore.psdistance:
result["flag"] = 1
result["data"] = {
"id": minStore.id,
"name": minStore.name,
"distance": minDistance,
"byprice": minStore.byprice,
"freight": minStore.freight,
}
else:
result["flag"] = 0
result["msg"] = "在该地址附近未找到可以配送的经销商！"
result["data"] = ""
else:
result["flag"] = 0
result["msg"] = "地址不能为空！"
except Exception, ex:
result["flag"] = 0
result["msg"] = "地址或者经销商信息错误！"
def getDistanceAS(address, store_id):
result = {"flag": 0, "msg": "", "data": ""}
try:
if address:
if store_id > 0:
store = Store.get(Store.id == store_id)
result["flag"] = 1
point = getPointByAddress(address)
result["data"] = str(
getDistance(point["lng"], point["lat"], float(store.x),
float(store.y)))
else:
result["flag"] = 0
result["msg"] = "经销商ID不正确！"
else:
result["flag"] = 0
result["msg"] = "地址不能为空！"
except:
result["flag"] = 0
result["msg"] = "地址或者经销商信息错误！"
return result
class GenDDR(object):
'''
src is dynamic, and tag is dynamic
'''
def __init__(self, db, dic, parent_conn, src_dic, ent_size, tgt_dic=None, mode='local'):
'''
db : db name
dic : the relation dict of the config
parent_conn: server conn
1, rel data
2, src nodes: n
3, tgt nodes: m
src_dic : src node config dict
ent_size: the number of nodes of each entity
tgt_dic : tgt node config dict
if is None, then tgt_dic == src_dic, e.g. user -> user
mode : local (default), dump edge locally
: u-level, dump edge and node in parent process
'''
self.parent_conn = parent_conn
self.rel_dict = dic
self.db_name = db
self.src_dic = src_dic
self.tgt_dic = tgt_dic
self.mode = mode
self.ent_size = ent_size
self.db_handler = Store(db)
self.db_handler.connect()
# parameters of in/out distributions
# TODO: other type of distribution
if dic['in']['type'] == 'power_law':
mind, maxd, midd = 0, -1, -1
if 'min_degree' in dic['in']:
mind = dic['in']['min_degree']
if 'max_degree' in dic['in']:
maxd = dic['in']['max_degree']
if 'mid_degree' in dic['in']:
midd = dic['in']['mid_degree']
if isinstance(dic['in']['lambd'], list):
self.indistr_ins = PWL(0, dic['in']['lambd'][0], dic['in']['lambd'][1], mind, maxd, midd)
else:
self.indistr_ins = PWL(0, dic['in']['lambd'], min_degree=mind, max_degree=maxd, mid_degree=midd)
elif dic['in']['type'] == 'uniform':
self.indistr_ins = Uniform(0, dic['in']['min'], dic['in']['max'])
if dic['out']['type'] == 'power_law':
mind, maxd, midd = 0, -1, -1
if 'min_degree' in dic['out']:
mind = dic['out']['min_degree']
if 'max_degree' in dic['out']:
maxd = dic['out']['max_degree']
if 'mid_degree' in dic['out']:
midd = dic['out']['mid_degree']
if isinstance(dic['out']['lambd'], list):
self.outdistr_ins = PWL(0, dic['out']['lambd'][0], dic['out']['lambd'][1], mind, maxd, midd)
else:
self.outdistr_ins = PWL(0, dic['out']['lambd'], min_degree=mind, max_degree=maxd, mid_degree=midd)
elif dic['out']['type'] = 'uniform':
self.outdistr_ins = Uniform(0, dic['out']['min'], dic['out']['max'])
# some statistical info
self.in_degree_nums = [] # [i] : the number of nodes with in degree i
self.out_degree_nums = [] # [i] : the number of nodes with out degree i
self.node_in_degree = [] # [i] : the in degree of node i
self.node_out_degree = [] # [i] : the out degree of node i
self.in_degree_nodes = [] # [i] : the nodes with in degree i, from degree 1
self.out_degree_nodes = [] # [i] : the nodes with out degree i,from degree 1
self.src_remain_nodes = [] # : source nodes (out) list with degree 0
self.tgt_remain_nodes = [] # : target nodes (in) list with degree 0
# generate index and nums info
self.src_l_index = 0
self.src_r_index = 1
self.tgt_l_index = 0
self.tgt_r_index = 1
self.src_fake_cnt = 0
self.tgt_fake_cnt = 0
# for community
self.mu_parameter = 0.4 # used to determine community belongs
self.ncomunty = 10 # community id: 0, 1, ...
self.comunty_nodes = [] # community: set of nodes
# node id: start from 1
self.node_comunty_n_indegree = [[]] # [d1, ..., dn]
self.node_comunty_n_outdegree = [[]] # [d1, ..., dn]
self.node_comunty_ident = [set()] # the communities node i belongs to
def get(self):
result = []
q = Store.select().where(Store.status == 1)
for n in q:
result.append({'ID': n.id, 'Name': n.name})
self.write(simplejson.dumps(result))
def store_list():
stores = Store.listWithStats()
return render_template('store.html', stores=stores)