def _build(cfg: dict):
def _deserialize_model(cfg_model: dict):
model_als = model.deserialize(cfg_model['als'])
mappings = model.deserialize(cfg_model['mappings'])
return model_als, mappings
cfg_model_reviews, cfg_model_commits = cfg['models']['reviews'], cfg[
'models']['commits']
cfg_results = cfg['results']
model_reviews_als, mappings_reviews = _deserialize_model(cfg_model_reviews)
model_commits_als, mappings_commits = _deserialize_model(cfg_model_commits)
model_recommender = model.build(
layers.MappingsValueToIdPairFallback(
(mappings_reviews[model.MAPPINGS_ITEM_TO_ID],
mappings_commits[model.MAPPINGS_ITEM_TO_ID])),
layers.MappingsIdToEmbeddingPair(
(model_reviews_als.item_factors, model_commits_als.item_factors)),
layers.CandidateRecommender(
(model_reviews_als.user_factors, model_commits_als.user_factors),
(mappings_reviews[model.MAPPINGS_ID_TO_USER],
mappings_reviews[model.MAPPINGS_USER_TO_ID]),
(mappings_commits[model.MAPPINGS_ID_TO_USER],
mappings_commits[model.MAPPINGS_USER_TO_ID]),
),
layers.RankingRecommender(
(mappings_reviews[model.MAPPINGS_ID_TO_USER],
mappings_commits[model.MAPPINGS_ID_TO_USER]),
(model_reviews_als.user_factors, model_commits_als.user_factors),
))
if cfg_results.get('save', True):
model.serialize(cfg_results['out'], model_recommender)
def _train(cfg: dict):
hyperparameters, cfg_dataset = cfg['hyperparameters'], cfg['dataset']
cfg_model, cfg_mappings = cfg['model'], cfg['mappings']
x_df = utils.read_csv(cfg_dataset['path'], usecols=cfg_dataset['cols'])
model_als, mappings = model.train_als(x_df, cfg_dataset['cols'],
hyperparameters)
if cfg_model.get('save', True):
model.serialize(cfg_model['out'], model_als)
if cfg_mappings.get('save', True):
model.serialize(cfg_mappings['out'], mappings)
def serialize(self):
ret = model.serialize(self)
if isinstance(self.employee, Employee):
ret["employee"] = model.serialize(self.employee)
if isinstance(self.shipper, Shippers):
ret["shipper"] = model.serialize(self.shipper)
if isinstance(self.customer, Customer):
ret["customer"] = model.serialize(self.customer)
else:
ret["customer"] = model.serialize(Customer())
ret["details"] = []
for d in self.details:
ret["details"].append(d.serialize())
return ret
def get_customers():
searchTerm = request.args.get("search", "")
offset = request.args.get("offset", 0)
limit = request.args.get("limit", 0)
customers = (
model.db.query(Customer)
.filter(
or_(
Customer.CustomerID.like("%" + searchTerm + "%"),
or_(
Customer.CustomerFirstName.like("%" + searchTerm + "%"),
Customer.CompanyName.like("%" + searchTerm + "%"),
),
)
)
.order_by(Customer.CompanyName, Customer.CustomerFirstName, Customer.CustomerID)
.offset(offset)
.limit(10)
)
# try:
# customers = model.db.query(Customer)
# except Exception, e:
# print(e.pgerror)
if limit == 1:
return json.dumps(serialize(customers[0]))
return json.dumps([model.serialize(customer) for customer in customers])
def get_subproducts():
productID = request.args.get("productID", "NONE")
if productID != "NONE":
subproducts = model.db.query(Prod_SubProd).filter(Prod_SubProd.ProductID == productID)
else:
subproducts = model.db.query(Prod_SubProd)
return json.dumps([model.serialize(sub) for sub in subproducts])
def test_serialization(self):
a = A()
a.b = 1
d = D()
d.e = 2
d.f = 3
a.c = d
streams = serialize(a, "a")
self.assertEquals(streams,
[
{"kind": "D", "attrs": {"e": 2, "f": 3}, "uid": "a.c"},
{"kind": "A", "attrs": {"b": 1}, "uid": "a", "refs": {"a.c": "c"}},
]
)
def test_serialization_lists(self):
## XXX stand by
return
a1 = A()
a1.b = 1
a1.c = 2
a2 = A()
a2.b = 3
a2.c = 4
l = L()
l.l = [a1, a2]
streams = serialize(l, "l")
self.assertEquals(streams,
[
{"kind": "A", "attrs": {"b": 1, "c": 2}, "uid": "l.l.0"},
{"kind": "A", "attrs": {"b": 3, "c": 4}, "uid": "l.l.1"},
{"kind": "L", "uid": "l", "lists": {"l": 2}},
]
)
def new_detail():
detail = OrderDetails()
return json.dumps(model.serialize(detail))
def get_employees():
employees = model.db.query(Employee)
return json.dumps([model.serialize(employee) for employee in employees])
def serialize(self):
ret = model.serialize(self)
ret['subproducts'] = []
for s in self.subproducts:
ret['subproducts'].append(model.serialize(s))
return ret
def serialize(self): ret = model.serialize(self) ret['product'] = self.product.serialize() ret['subproduct'] = model.serialize(self.subproduct) return ret
