def test_custom_queries(self):
dao = Dao(DAO_URL, sql_logging=SQL_LOG)
dao.load_gtfs(DUMMY_GTFS)
# A simple custom query: count the number of stops per type (stop/station)
# SQL equivalent: SELECT stop.location_type, count(stop.location_type) FROM stop GROUP BY stop.location_type
for type, stop_count in dao.session() \
.query(Stop.location_type, func.count(Stop.location_type)) \
.group_by(Stop.location_type) \
.all():
# print("type %d : %d stops" % (type, stop_count))
if type == Stop.TYPE_STATION:
self.assertTrue(stop_count == 3)
if type == Stop.TYPE_STOP:
self.assertTrue(stop_count > 15 and stop_count < 30)
# A more complex custom query: count the number of trips per calendar date per route on june/july
from_date = CalendarDate.ymd(2016, 6, 1)
to_date = CalendarDate.ymd(2016, 7, 31)
for date, route, trip_count in dao.session() \
.query(CalendarDate.date, Route, func.count(Trip.trip_id)) \
.join(Calendar).join(Trip).join(Route) \
.filter((func.date(CalendarDate.date) >= from_date.date) & (func.date(CalendarDate.date) <= to_date.date)) \
.group_by(CalendarDate.date, Route.route_short_name) \
.all():
# print("%s / %20s : %d trips" % (date, route.route_short_name + " " + route.route_long_name, trip_count))
self.assertTrue(date >= from_date.as_date())
self.assertTrue(date <= to_date.as_date())
self.assertTrue(trip_count > 0)
def payments():
payments = Payment.query.join(Purchase).with_entities(
Payment,
func.count(Purchase.id).label('purchase_count'),
).group_by(Payment).order_by(Payment.id).all()
return render_template('admin/payments/payments.html', payments=payments)
def _get_sitemap_index():
document_locales_per_type = DBSession. \
query(Document.type, func.count().label('count')). \
join(
DocumentLocale,
Document.document_id == DocumentLocale.document_id). \
filter(Document.type != USERPROFILE_TYPE). \
group_by(Document.type). \
all()
sitemaps = []
for doc_type, count in document_locales_per_type:
num_sitemaps = ceil(count / PAGES_PER_SITEMAP)
sitemaps_for_type = [
{
'url': '/sitemaps/{}/{}'.format(doc_type, i),
'doc_type': doc_type,
'i': i
}
for i in range(0, num_sitemaps)
]
sitemaps.extend(sitemaps_for_type)
return {
'sitemaps': sitemaps
}
def selectables(cls, bag, agg_spec):
""" Create a list of statements from spec
:type bag: mongosql.bag.ModelPropertyBags
:rtype: list[sqlalchemy.sql.elements.ColumnElement]
"""
# TODO: calculation expressions for selection: http://docs.mongodb.org/manual/meta/aggregation-quick-reference/
selectables = []
for comp_field, comp_expression in agg_spec.items():
# Column reference
if isinstance(comp_expression, basestring):
selectables.append(bag.columns[comp_expression].label(comp_field))
continue
# Computed expression
assert isinstance(comp_expression, dict), 'Aggregate: Expression should be either a column name, or an object'
assert len(comp_expression) == 1, 'Aggregate: expression can only contain a single operator'
operator, expression = comp_expression.popitem()
# Expression statement
if isinstance(expression, int) and operator == '$sum':
# Special case for count
expression_stmt = expression
elif isinstance(expression, basestring):
# Column name
expression_stmt = bag.columns[expression]
# Json column?
if bag.columns.is_column_json(expression):
# PostgreSQL always returns text values from it, and for aggregation we usually need numbers :)
expression_stmt = cast(expression_stmt, Float)
elif isinstance(expression, dict):
# Boolean expression
expression_stmt = MongoCriteria.statement(bag, expression)
# Need to cast it to int
expression_stmt = cast(expression_stmt, Integer)
else:
raise AssertionError('Aggregate: expression should be either a column name, or an object')
# Operator
if operator == '$max':
comp_stmt = func.max(expression_stmt)
elif operator == '$min':
comp_stmt = func.min(expression_stmt)
elif operator == '$avg':
comp_stmt = func.avg(expression_stmt)
elif operator == '$sum':
if isinstance(expression_stmt, int):
# Special case for count
comp_stmt = func.count()
if expression_stmt != 1:
comp_stmt *= expression_stmt
else:
comp_stmt = func.sum(expression_stmt)
else:
raise AssertionError('Aggregate: unsupported operator "{}"'.format(operator))
# Append
selectables.append(comp_stmt.label(comp_field))
return selectables
def tees():
purchases = ProductGroup.query.filter_by(name='tees') \
.join(Product, Purchase, Purchase.owner).group_by(User.id, Product.id) \
.with_entities(User, Product, func.count(Purchase.id)) \
.order_by(User.name)
return render_template('admin/products/tee-purchases.html', purchases=purchases)
def invoice(payment_id):
payment = get_user_payment_or_abort(payment_id, allow_admin=True)
invoice_lines = payment.tickets.join(TicketType). \
with_entities(TicketType, func.count(Ticket.type_id)). \
group_by(TicketType).order_by(TicketType.order).all()
ticket_sum = sum(tt.get_price_ex_vat(payment.currency) * count for tt, count in invoice_lines)
if payment.provider == 'stripe':
premium = payment.__class__.premium(payment.currency, ticket_sum)
else:
premium = Decimal(0)
subtotal = ticket_sum + premium
vat = subtotal * Decimal('0.2')
app.logger.debug('Invoice subtotal %s + %s = %s', ticket_sum, premium, subtotal)
# FIXME: we should use a currency-specific quantization here (or rounder numbers)
if subtotal + vat - payment.amount > Decimal('0.01'):
app.logger.error('Invoice total mismatch: %s + %s - %s = %s', subtotal, vat,
payment.amount, subtotal + vat - payment.amount)
flash('Your invoice cannot currently be displayed')
return redirect(url_for('tickets.main'))
app.logger.debug('Invoice total: %s + %s = %s', subtotal, vat, payment.amount)
due_date = min(t.expires for t in payment.tickets)
return render_template('invoice.html', payment=payment, invoice_lines=invoice_lines,
premium=premium, subtotal=subtotal, vat=vat, due_date=due_date)
def getStats(klass):
assuranceStats = dict()
assurances = klass.query.with_entities(Assurance.name).add_column(func.count(klass.name)).group_by(klass.name).all()
for name, value in assurances:
assuranceStats[name] = value
return assuranceStats
def storage(page):
"""
SELECT
goods.nomenclature_id AS goods_nomenclature_id,
goods.attribute_id AS goods_attribute_id,
goods.incoming_price AS goods_incoming_price,
count(*) AS counts,
attributes.name AS attr_name,
nomenclatures.internal_code AS nomenclatures_internal_code,
nomenclatures.name AS nom_name
FROM goods
JOIN nomenclatures ON nomenclatures.id = goods.nomenclature_id
JOIN attributes ON attributes.id = goods.attribute_id
WHERE
goods.outgoing_date IS NULL AND
goods.paid = 1
GROUP BY
goods.nomenclature_id,
goods.attribute_id,
goods.incoming_price
"""
pagination = Goods.query.\
with_entities(Goods.nomenclature_id,
func.count().label('counts'),
Nomenclatures.internal_code,
Nomenclatures.name.label('nom_name')).\
join(Nomenclatures).\
join(Attributes).\
filter(func.isnull(Goods.outgoing_date), Goods.paid == True).\
group_by(Goods.nomenclature_id).order_by(Nomenclatures.internal_code.asc()).paginate(page, 10)
return render_template('b_acc/storage.html', pagination=pagination)
def payments():
payments = Payment.query.join(Ticket).with_entities(
Payment,
func.min(Ticket.expires).label('first_expires'),
func.count(Ticket.id).label('ticket_count'),
).group_by(Payment).order_by(Payment.id).all()
return render_template('admin/payments.html', payments=payments)
def tees():
tickets = TicketType.query.join(Ticket, User) \
.filter(TicketType.fixed_id.in_(range(14, 24))) \
.filter(Ticket.paid.is_(True)) \
.group_by(User, TicketType) \
.with_entities(User, TicketType, func.count(Ticket.id)) \
.order_by(User.name, TicketType.order)
return render_template('admin/tee-tickets.html', tickets=tickets)
def api_property(context, request):
q = DBSession.query(Property)
q = q.filter(Property.id == context.property_id)
property = q.one()
q = DBSession.query(Tag.text, func.count(Tag.id))
q = q.select_from(Review)
q = q.join(Review.tags)
q = q.filter(Review.property_id == property.id)
q = q.group_by(Tag.id)
q = q.order_by(func.count(Tag.id).desc())
q = q.limit(5)
property.top_tags = {r[0]: r[1] for r in q.all()}
return property
def nrfa_qmed_catchments(db_session):
return db_session.query(Catchment).join(Descriptors).join(Catchment.amax_records). \
filter(Catchment.is_suitable_for_qmed,
Descriptors.centroid_ngr != None,
or_(Descriptors.urbext2000 < 0.03, Descriptors.urbext2000 == None)). \
group_by(Catchment). \
having(func.count(AmaxRecord.catchment_id) >= 10). \
all()
def get_hires():
purchases = (ProductGroup.query.filter_by(type='hire')
.join(Product, Purchase, Purchase.owner)
.group_by(User.id, Product.id, Purchase.state)
.filter(Purchase.state.in_(['paid', 'payment-pending', 'receipt-emailed']))
.with_entities(User, Product, Purchase.state, func.count(Purchase.id))
.order_by(User.name, Product.name))
return purchases
def query_aggregate(self, ctx, drills, cuts, limit=5000):
mappings = self.sql_mappings(ctx)
joins = self.sql_joins(ctx, None)
pk = self.pk(ctx)
connection = self.sqltable.connection.connection()
engine = self.sqltable.connection._engine
# Build query
Session = sessionmaker()
Session.configure(bind=engine)
session = Session()
q = session.query()
#q = q.add_columns(self.sqltable.sa_table.columns['is_bot_id'].label("x"))
#q = q.add_entity(self.sqltable.sa_table)
# Include measures
for measure in [m for m in mappings if isinstance(m.field, Measure)]:
sa_column = self.sqltable.sa_table.columns[measure.sqlcolumn.name]
q = q.add_columns(func.avg(sa_column).label(measure.field.name + "_avg"))
q = q.add_columns(func.sum(sa_column).label(measure.field.name + "_sum"))
q = q.add_columns(func.count(self.sqltable.sa_table).label("record_count"))
# Drills
for dimension in [m for m in mappings if isinstance(m.field, Dimension)]:
# We shoulld check the dimension-path here, with drills, and use key/lookup for drill
if dimension.field.name in drills:
sa_column = None
try:
sa_column = self.sqltable.sa_table.columns[dimension.sqlcolumn.name]
except KeyError as e:
raise ETLException("Unknown column in backend SQL table (table=%s, column=%s). Columns: %s" % (self.sqltable.sa_table, dimension.sqlcolumn.name, [c.name for c in self.sqltable.sa_table.columns]))
q = q.add_columns(sa_column)
q = q.group_by(sa_column)
# Cuts
# TODO: Filterng on any dimension attribute, not only the key
# (ie filter cities with type A or icon B), but then again
# that could be a different (nested) dimension.
for dimension in [m for m in mappings if isinstance(m.field, Dimension)]:
# We shoulld check the dimension-path here, with drills
if dimension.field.name in cuts.keys():
sa_column = self.sqltable.sa_table.columns[dimension.sqlcolumn.name]
cut_value = cuts[dimension.field.name]
q = q.filter(sa_column==cut_value)
# Limit
q = q.limit(5000)
statement = q.statement
logger.debug("Statement: %s", str(statement).replace("\n", " "))
rows = connection.execute(statement).fetchall()
return rows
def most_similar_catchments(self, subject_catchment, similarity_dist_function, records_limit=500,
include_subject_catchment='auto'):
"""
Return a list of catchments sorted by hydrological similarity defined by `similarity_distance_function`
:param subject_catchment: subject catchment to find similar catchments for
:type subject_catchment: :class:`floodestimation.entities.Catchment`
:param similarity_dist_function: a method returning a similarity distance measure with 2 arguments, both
:class:`floodestimation.entities.Catchment` objects
:param include_subject_catchment: - `auto`: include subject catchment if suitable for pooling and if urbext < 0.03
- `force`: always include subject catchment having at least 10 years of data
- `exclude`: do not include the subject catchment
:type include_subject_catchment: str
:return: list of catchments sorted by similarity
:type: list of :class:`floodestimation.entities.Catchment`
"""
if include_subject_catchment not in ['auto', 'force', 'exclude']:
raise ValueError("Parameter `include_subject_catchment={}` invalid.".format(include_subject_catchment) +
"Must be one of `auto`, `force` or `exclude`.")
query = (self.db_session.query(Catchment).
join(Catchment.descriptors).
join(Catchment.amax_records).
filter(Catchment.id != subject_catchment.id,
Catchment.is_suitable_for_pooling,
or_(Descriptors.urbext2000 < 0.03, Descriptors.urbext2000 == None),
AmaxRecord.flag == 0).
group_by(Catchment).
having(func.count(AmaxRecord.catchment_id) >= 10)) # At least 10 AMAX records
catchments = query.all()
# Add subject catchment if required (may not exist in database, so add after querying db
if include_subject_catchment == 'force':
if len(subject_catchment.amax_records) >= 10: # Never include short-record catchments
catchments.append(subject_catchment)
elif include_subject_catchment == 'auto':
if len(subject_catchment.amax_records) >= 10 and subject_catchment.is_suitable_for_pooling and \
(subject_catchment.descriptors.urbext2000 < 0.03 or subject_catchment.descriptors.urbext2000 is None):
catchments.append(subject_catchment)
# Store the similarity distance as an additional attribute for each catchment
for catchment in catchments:
catchment.similarity_dist = similarity_dist_function(subject_catchment, catchment)
# Then simply sort by this attribute
catchments.sort(key=attrgetter('similarity_dist'))
# Limit catchments until total amax_records counts is at least `records_limit`, default 500
amax_records_count = 0
catchments_limited = []
for catchment in catchments:
catchments_limited.append(catchment)
amax_records_count += catchment.record_length
if amax_records_count >= records_limit:
break
return catchments_limited
def expiring():
expiring = BankPayment.query.join(Purchase).filter(
BankPayment.state == 'inprogress',
BankPayment.expires < datetime.utcnow() + timedelta(days=3),
).with_entities(
BankPayment,
func.count(Purchase.id).label('purchase_count'),
).group_by(BankPayment).order_by(BankPayment.expires).all()
return render_template('admin/payments/payments-expiring.html', expiring=expiring)
def count_periods_const(self, session, cost_filter):
low = 1
high = 100
count = []
for n in cost_filter:
high = n
count.append(session.query(func.count(Period.pid)).filter(Period.cost >= low, Period.cost < high).all())
low = high
return count
def do_run(self, output=sys.stdout):
self.out = output
# Within the past 24 hours, how many new LicensePools became
# available? This represents new registrations coming in.
qu = self._db.query(
Identifier.type, func.count(func.distinct(LicensePool.id))
)
new_pools = qu.select_from(LicensePool).join(LicensePool.identifier)
self.report_the_past(
"New LicensePools (~registrations)", new_pools,
LicensePool.availability_time
)
self.write()
# Within the past 24 hours, how many Works were updated?
# This represents work being done to achieve coverage.
qu = self._db.query(Identifier.type, func.count(func.distinct(Work.id)))
updated_works = qu.select_from(Work).join(Work.license_pools).join(
LicensePool.identifier
)
self.report_the_past(
"Updated Works (~coverage)", updated_works, Work.last_update_time
)
self.write()
# For each catalog, how many Identifiers have Works and how
# many don't? This is a rough proxy for 'the basic tasks have
# been done and we can improve the data at our leisure.'
self.write("Current coverage:")
total_done = Counter()
total_not_done = Counter()
types = set()
for collection in self._db.query(Collection).order_by(Collection.id):
done, not_done = self.report_backlog(collection)
for type, count in done.items():
total_done[type] += count
types.add(type)
for type, count in not_done.items():
total_not_done[type] += count
types.add(type)
self.write("\n Totals:")
self.report_backlog(None)
def admin_expiring():
expiring = BankPayment.query.join(Ticket).filter(
BankPayment.state == 'inprogress',
Ticket.expires < datetime.utcnow() + timedelta(days=3),
).with_entities(
BankPayment,
func.min(Ticket.expires).label('first_expires'),
func.count(Ticket.id).label('ticket_count'),
).group_by(BankPayment).order_by('first_expires').all()
return render_template('admin/payments-expiring.html', expiring=expiring)
def requested_refunds():
payments = Payment.query.filter_by(state='refund-requested') \
.join(Purchase) \
.with_entities(Payment,
func.count(Purchase.id).label('purchase_count'),
) \
.group_by(Payment) \
.order_by(Payment.id) \
.all()
return render_template('admin/payments/requested_refunds.html', payments=payments)
def count_articles(_author_id, _catalog_id):
with get_scoped_db_session(False) as _dbss:
_query = _dbss.query(func.count(Article.id))\
if _catalog_id:
_query = _query.join(Article.catalogs).filter(Article.author_id==_author_id)\
.filter(ArticleCatalog.id==_catalog_id)
else:
_query = _query.filter(Article.author_id==_author_id)
_count = _query.scalar()
return _count
def storage_attributes(nomenclature_id, page):
"""
SELECT
goods.nomenclature_id AS goods_nomenclature_id,
goods.attribute_id AS goods_attribute_id,
nomenclatures.internal_code AS nomenclatures_internal_code,
nomenclatures.name AS nom_name,
count(*) AS counts,
goods.incoming_price AS goods_incoming_price,
attributes.name AS attr_name
FROM goods
JOIN nomenclatures ON nomenclatures.id = goods.nomenclature_id
JOIN attributes ON attributes.id = goods.attribute_id
WHERE
isnull(goods.outgoing_date) AND
isnull(goods.outgoing_price) AND
goods.nomenclature_id = :nomenclature_id_1
GROUP BY
goods.attribute_id,
goods.incoming_price
ORDER BY
goods.attribute_id,
goods.incoming_price
"""
nomenclature = Nomenclatures.query.filter_by(id=nomenclature_id).first()
if not nomenclature:
flash(u'Аттрибуты и цены: номенклатуры не существует', 'danger')
return redirect(url_for('b_acc.storage'))
attributes = Goods.query.with_entities(Goods.nomenclature_id,
Goods.attribute_id,
Nomenclatures.internal_code,
Nomenclatures.name.label('nom_name'),
func.count().label('counts'),
Goods.incoming_price,
Attributes.name.label('attr_name')).\
join(Nomenclatures).\
join(Attributes).\
filter(func.isnull(Goods.outgoing_date),
func.isnull(Goods.outgoing_price),
Goods.nomenclature_id == nomenclature_id).\
group_by(Goods.attribute_id,
Goods.incoming_price).\
order_by(Goods.attribute_id,
Goods.incoming_price)
pagination = attributes.paginate(page, 10)
return render_template('b_acc/storage_attributes.html', nomenclature=nomenclature, pagination=pagination)
def invoice(payment_id):
payment = get_user_payment_or_abort(payment_id, allow_admin=True)
form = InvoiceForm()
if form.validate_on_submit():
current_user.company = form.company.data
db.session.commit()
flash('Company name updated')
return redirect(url_for('.invoice', payment_id=payment_id))
if request.method != 'POST':
form.company.data = current_user.company
edit_company = bool(request.args.get('edit_company'))
if request.args.get('js') == '0':
flash("Please use your browser's print feature or download the PDF")
invoice_lines = Purchase.query.filter_by(payment_id=payment_id).join(PriceTier, Product) \
.with_entities(PriceTier, func.count(Purchase.price_tier_id)) \
.group_by(PriceTier, Product.name).order_by(Product.name).all()
ticket_sum = sum(pt.get_price(payment.currency).value_ex_vat * count for pt, count in invoice_lines)
if payment.provider == 'stripe':
premium = payment.__class__.premium(payment.currency, ticket_sum)
else:
premium = Decimal(0)
subtotal = ticket_sum + premium
vat = subtotal * Decimal('0.2')
app.logger.debug('Invoice subtotal %s + %s = %s', ticket_sum, premium, subtotal)
# FIXME: we should use a currency-specific quantization here (or rounder numbers)
if subtotal + vat - payment.amount > Decimal('0.01'):
app.logger.error('Invoice total mismatch: %s + %s - %s = %s', subtotal, vat,
payment.amount, subtotal + vat - payment.amount)
flash('Your invoice cannot currently be displayed')
return redirect(url_for('users.purchases'))
app.logger.debug('Invoice total: %s + %s = %s', subtotal, vat, payment.amount)
page = render_template('invoice.html', payment=payment, invoice_lines=invoice_lines, form=form,
premium=premium, subtotal=subtotal, vat=vat, edit_company=edit_company)
if request.args.get('pdf'):
url = external_url('.invoice', payment_id=payment_id)
return send_file(render_pdf(url, page), mimetype='application/pdf', cache_timeout=60)
return page
def ticket_report():
# This is an admissions-based view, so includes expired tickets
totals = Ticket.query.outerjoin(Payment).filter(
Ticket.refund_id.is_(None),
or_(Ticket.paid == True, # noqa
~Payment.state.in_(['new', 'cancelled', 'refunded']))
).join(TicketType).with_entities(
TicketType.admits,
func.count(),
).group_by(TicketType.admits).all()
totals = dict(totals)
query = db.session.query(TicketType.admits, func.count(), func.sum(TicketPrice.price_int)).\
select_from(Ticket).join(TicketType).join(TicketPrice).\
filter(TicketPrice.currency == 'GBP', Ticket.paid == True).group_by(TicketType.admits) # noqa
accounting_totals = {}
for row in query.all():
accounting_totals[row[0]] = {
'count': row[1],
'total': row[2]
}
return render_template('admin/ticket-report.html', totals=totals, accounting_totals=accounting_totals)
def _test_list_article():
_author_id = random.randint(1, 20)
_catalog_id = random.randint(1, 20)
print '_author_id', _author_id
print '_catalog_id', _catalog_id
with get_scoped_db_session(False) as _dbss:
_count = _dbss.query(func.count(Article.id)).filter_by(author_id=_author_id).scalar()
# _articles = _dbss.query(Article).options(joinedload(Article.catalogs)).filter_by(author_id=_author_id).all()
_articles = _dbss.query(Article).join(Article.catalogs).filter_by(author_id=_author_id)\
.filter(ArticleCatalog.id==_catalog_id).all()
# _articles = _dbss.query(Article).filter_by(author_id=_author_id).filter(Article.catalogs.any(id=_catalog_id)).all() # @UndefinedVariable
print '%s articles found.' % _count
for _a in _articles:
print '[%s] %s' % (_a.id, _a.title)#, [_c.name for _c in _a.catalogs]
def nearest_qmed_catchments(self, subject_catchment, limit=None, dist_limit=500):
"""
Return a list of catchments sorted by distance to `subject_catchment` **and filtered to only include catchments
suitable for QMED analyses**.
:param subject_catchment: catchment object to measure distances to
:type subject_catchment: :class:`floodestimation.entities.Catchment`
:param limit: maximum number of catchments to return. Default: `None` (returns all available catchments).
:type limit: int
:param dist_limit: maximum distance in km. between subject and donor catchment. Default: 500 km. Increasing the
maximum distance will increase computation time!
:type dist_limit: float or int
:return: list of catchments sorted by distance
:rtype: list of :class:`floodestimation.entities.Catchment`
"""
dist_sq = Catchment.distance_to(subject_catchment).label('dist_sq') # Distance squared, calculated using SQL
query = self.db_session.query(Catchment, dist_sq). \
join(Catchment.amax_records). \
join(Catchment.descriptors). \
filter(Catchment.id != subject_catchment.id, # Exclude subject catchment itself
Catchment.is_suitable_for_qmed, # Only catchments suitable for QMED estimation
Catchment.country == subject_catchment.country, # SQL dist method does not cover cross-boundary dist
# Within the distance limit
dist_sq <= dist_limit ** 2). \
group_by(Catchment,
Descriptors.centroid_ngr_x,
Descriptors.centroid_ngr_y). \
order_by(dist_sq). \
having(func.count(AmaxRecord.catchment_id) >= 10) # At least 10 AMAX records
if limit:
rows = query[0:limit] # Each row is tuple of (catchment, distance squared)
else:
rows = query.all()
# Add real `dist` attribute to catchment list using previously calculated SQL dist squared
catchments = []
for row in rows:
catchment = row[0]
catchment.dist = sqrt(row[1])
catchments.append(catchment)
return catchments
def grid_view(request):
query = DBSession.query(User).options(joinedload(User.tags)).options(
joinedload(User.company)).outerjoin(User.company)
total = DBSession.query(func.count(User.id)).outerjoin(User.company)
query = query.filter(*get_filters(request))
total = total.filter(*get_filters(request)).scalar()
results = add_pagination(request, query).all()
request.session['query'] = request.params.get('query', '')
# If the user is not coming from similar path then set select_all checkbox parameter to False
if request.referer and request.path_info not in request.referer:
request.session['select_all'] = False
return {'items': results,
'select_all': request.session['select_all'] if request.session.get('select_all') is not None else False,
'repost': request.params,
'page': int(request.params.get('p', 1)),
'page_size': getset_page_size(request),
'total': total,
'num_pages': int(ceil(float(total) / getset_page_size(request)))
}
def grid_view(request):
query = DBSession.query(BaseCompany).options(joinedload(BaseCompany.tags)).options(
joinedload(BaseCompany.users_rel).joinedload(UserXCompany.user))
total = DBSession.query(func.count(BaseCompany.id))
query = query.filter(*get_filters(request))
total = total.filter(*get_filters(request)).scalar()
results = add_pagination(request, query).all()
results = add_connection_info(results, request.user)
request.session['query'] = request.params.get('query', '')
# If the user is not coming from similar path then set select_all checkbox parameter to False
if request.referer and request.path_info not in request.referer:
request.session['select_all_comp'] = False
return {'items': results,
'select_all': request.session.get('select_all_comp'),
'repost': request.params,
'page': int(request.params.get('p', 1)),
'page_size': PAGE_SIZE,
'total': total,
'num_pages': int(ceil(float(total) / PAGE_SIZE))
}
def report_backlog(self, collection):
done = Counter()
not_done = Counter()
clause = LicensePool.work_id==None
types = set()
for clause, counter in (
(LicensePool.work_id!=None, done),
(LicensePool.work_id==None, not_done),
):
qu = self._db.query(
Identifier.type,
func.count(func.distinct(Identifier.id)),
).select_from(
Collection
).join(
Collection.catalog
).outerjoin(
Identifier.licensed_through
)
if collection:
qu = qu.filter(
Collection.id==collection.id
)
qu = qu.filter(
clause
).group_by(Identifier.type).order_by(Identifier.type)
for type, count in qu:
counter[type] += count
types.add(type)
if len(done) == 0 and len(not_done) == 0:
# This catalog is empty.
return done, not_done
if collection:
name, identifier = self.decode_metadata_identifier(collection)
self.write(' %s/%s' % (name, identifier))
for type in sorted(types):
self.report_backlog_item(type, done, not_done)
return done, not_done
def get_count_query(self) -> query:
return self.session.query(func.count(distinct(
User.id))).select_from(User).join(UserOfferer)
def get_count(q):
count_q = q.statement.with_only_columns([func.count()]).order_by(None)
count = q.session.execute(count_q).scalar()
return count
def predict():
#javasript post method랑 안맞음??
global current_user
style_name = [
'Business Casual', 'Ethnic', 'Feminine', 'Girlish', '80s Retro',
'British Mode', 'Casual', 'Street'
]
if request.method == 'POST':
#jpeg으로 저장
f_ext = '.jpeg'
pub_time = time.time()
#파일이름 설정,current user가 undefined인 예외 처리(js 때문)
try:
picture_name = str(pub_time) + str(current_user.id) + f_ext
except:
picture_name = str(pub_time) + f_ext
picture_path = os.path.join(file_url, picture_name)
style = request.json['class'] #user가 선택한 스타일
img_rows, img_cols, img_channel = 256, 256, 3
img = base64_to_pil(request.json['image'])
#s3에 머저장
buffer = BytesIO()
try:
img.save(buffer, "JPEG")
except:
img = img.convert("RGB") #JPG는 A(투명도)가 없음
img.save(buffer, "JPEG")
buffer.seek(0)
upload_fn(buffer, 'socksclub', picture_name)
#그리고 db에 추가
new_img = img.resize((img_rows, img_cols))
new_img = np.array(new_img)[np.newaxis, ...]
if USE_TF:
layer_output, result = extraction_model.predict(new_img)
result = result.tolist()
# mapping feature extraction
last_weight = new_model.weights[-2]
layer_output = np.squeeze(layer_output)
try:
'''메모리 에러 발생?'''
feature_map = scipy.ndimage.zoom(layer_output, (32, 32, 0.5),
order=1)
except Exception as e:
'''에러 메세지 출력해줘야됨'''
print('error occured', e)
return jsonify(ok=False)
pred_class = np.argmax(result)
ai_style = style_name[pred_class] #Street
pred_class_weight = last_weight[:, pred_class]
final_output = np.dot(feature_map.reshape((256 * 256, 256)),
pred_class_weight).reshape((256, 256))
new_buffer = BytesIO()
fig, axes = plt.subplots(1, 1, figsize=(5, 5))
axes.imshow(np.asarray(img), alpha=0.5)
axes.imshow(final_output, cmap='jet', alpha=0.5)
extent = axes.get_window_extent().transformed(
fig.dpi_scale_trans.inverted())
fig.savefig(new_buffer, bbox_inches=extent, format='png')
img_str = base64.b64encode(new_buffer.getvalue())
img_str = img_str.decode('utf-8')
img_str = 'data:image/png;base64,' + img_str
else:
result = np.random.randn(1, len(style_name))
pred_class = np.argmax(result)
ai_style = style_name[pred_class] #Street
img_str = request.json['image']
res = {}
for keys, values in zip(style_name, result[0]):
values = round(values, 2) * 100
res[keys] = values
else:
res = dict(sorted(res.items(), key=(lambda x: x[1]), reverse=True))
top3_keys, top3_values = list(res.keys())[:3], list(
res.values())[:3]
if top3_values[0] == 100:
np.random.seed(0)
randNum = np.random.rand(2).tolist()
for i in range(1, len(top3_values)):
top3_values[i] += randNum[i - 1] * 10 + 10
top3_values[i] = round(top3_values[i], 2)
top3_values[0] = top3_values[0] - (top3_values[1] +
top3_values[2])
max_score = top3_values[0] #db에 String으로 저장 => 나중에 혹시 모르니까?
gender = request.json['gender']
if current_user.is_authenticated():
sharing = 1
rank_post = FashionScore(score=max_score,
ai_style=ai_style,
pub_date=datetime.now(),
img_url=picture_path,
style=style,
author=current_user,
sharing=sharing,
gender=gender)
else:
sharing = 0
rank_post = FashionScore(score=max_score,
ai_style=ai_style,
pub_date=datetime.now(),
img_url=picture_path,
style=style,
author=None,
sharing=sharing,
gender=gender)
db.session.add(rank_post)
db.session.commit()
recommend_sbquery = db.session.query(
RecommendLog.ad_id,
func.count(RecommendLog.ad_id).label('count')).group_by(
RecommendLog.ad_id).subquery()
recommendation_queries = Recommendation.query.filter(
Recommendation.gender == gender).join(
recommend_sbquery,
Recommendation.id == recommend_sbquery.c.ad_id,
isouter=True).order_by(
recommend_sbquery.c.count.desc().nullslast()).all()
#2개는 클릭수 많은것, 2개는 random
recommendation_choices = recommendation_queries[:2]
random_recommendation = random.choices(
population=recommendation_queries[2:], k=2)
recommendation_choices.extend(random_recommendation)
#sql object 딕셔너리 형태로 바꿔줘야됨
recommedation_list = []
for i in recommendation_choices:
test = {
c.name: getattr(i, c.name)
for c in Recommendation.__table__.columns
}
recommedation_list.append(test)
db.session.close()
#Predict class에 맞는 설명 가져오기
try:
text_dir = 'static/text/' + top3_keys[0] + '.txt'
f = open(text_dir, 'r')
text = "<\br>".join(f.readlines())
except:
text = ""
return jsonify(top1_class=top3_keys[0],
top2_class=top3_keys[1],
top3_class=top3_keys[2],
top1_value=top3_values[0],
top2_value=top3_values[1],
top3_value=top3_values[2],
feature=img_str,
picture_path=picture_path,
recommendation=recommedation_list,
text=text)
return None
def count_groups(query, *entities):
return query.with_entities(
func.count().label('count'),
*entities).group_by(*entities).order_by(*entities)
def display_restaurant_category(self, category_name):
restaurants = self.session.query(Restaurants, Items.category, func.count(Items.category)).filter(Items.rest_id == Restaurants.id, Items.category==str(category_name)).group_by(Items).distinct().all()
return restaurants
def get_user_purchases(query):
return query.join(Purchase).join(Purchase.owner) \
.filter(Purchase.is_paid_for) \
.with_entities(User, func.count('*')) \
.group_by(User) \
.order_by(User.id)
def react_page():
# check if there is a current user
if 'user' not in session:
return redirect("/login")
# get project update time
freq = db.session.query(User.update_time).filter(
User.user_id == session['user']).one()[0]
NOW = datetime.datetime.now()
# Get finished projects
fin_projects = db.session.query(func.count(Project.project_id)).join(Status).filter(
Project.user_id == session['user'],
Status.status == "Finished").first()[0]
# Get hibernating projects
hib_projects = db.session.query(func.count(Project.project_id)).join(Status).filter(
Project.user_id == session['user'],
Status.status == "Hibernating").first()[0]
# Get frogged projects
frog_projects = db.session.query(func.count(Project.project_id)).join(Status).filter(
Project.user_id == session['user'],
Status.status == "Frogged").first()[0]
# Get the projects for the current user and are in progress
need_update = db.session.query(func.count(Project.project_id)).join(Status).filter(
Project.user_id == session['user'],
Project.updated_at < (NOW - datetime.timedelta(days = freq)),
Status.status == "In progress").first()[0]
updated = db.session.query(func.count(Project.project_id)).join(Status).filter(
Project.user_id == session['user'],
Project.updated_at > (NOW - datetime.timedelta(days = freq)),
Status.status == "In progress").first()[0]
counts = {"finished": int(fin_projects),
"hibernate": int(hib_projects),
"frogged": int(frog_projects),
"need update": int(need_update),
"updated": int(updated)}
# counts = {k: len(v) for k,v in projects_by_type.items()}
data_dict = {
"labels": [k for k in sorted(counts.keys())],
"datasets": [
{
"data": [v for k, v in sorted(counts.items())],
"backgroundColor": [
"#FF6384",
"#36A2EB",
"red",
"blue",
"green",
],
"hoverBackgroundColor": [
"#FF6384",
"#36A2EB",
]
}]
}
wip_dict = {
"labels": ["WIP"],
"datasets": [
{
"label": "Need Update",
"data": [counts['need update']],
"backgroundColor": [
"blue"
],
"hoverBackgroundColor": [
"#B56357"
]
},
{
"label": "Updated",
"data": [counts['updated']],
"backgroundColor": [
"green"
],
"hoverBackgroundColor": [
"#B4DBC0"
]
}] }
return render_template("react-projects.html",
finished=fin_projects,
hibernate=hib_projects,
frogged=frog_projects,
needUpdate= need_update,
updated=updated,
counts=counts,
dict=data_dict,
wip=wip_dict,
freq=freq)
def count(self, stmt: Select, filter_env: bool = True) -> int:
stmt = select(func.count()).select_from(stmt.subquery())
return self.execute(stmt).scalar_one()
def send_push_message(subject_id,
text="",
custom_payload={},
title="Gamification-Engine",
android_text=None,
ios_text=None):
message_count = DBSession.execute(
select([func.count("*").label("c")],
from_obj=t_subject_messages).where(
and_(t_subject_messages.c.subject_id == subject_id,
t_subject_messages.c.is_read == False))).scalar()
data = dict({"title": title, "badge": message_count}, **custom_payload)
settings = get_settings()
if not ios_text:
ios_text = text
if not android_text:
android_text = text
rows = DBSession.execute(
select([t_subject_device.c.push_id, t_subject_device.c.device_os],
from_obj=t_subject_device).distinct().where(
t_subject_device.c.subject_id == subject_id)).fetchall()
for device in rows:
if "ios" in device.device_os.lower():
identifier = random.getrandbits(32)
if custom_payload:
payload = Payload(alert=ios_text,
custom=data,
badge=message_count,
sound="default")
else:
payload = Payload(alert=ios_text,
custom=data,
badge=message_count,
sound="default")
log.debug("Sending Push message to User (ID: %s)", subject_id)
if device.push_id.startswith("prod_"):
get_prod_apns().gateway_server.send_notification(
device.push_id[5:], payload, identifier=identifier)
elif device.push_id.startswith("dev_"):
get_dev_apns().gateway_server.send_notification(
device.push_id[4:], payload, identifier=identifier)
if "android" in device.device_os.lower():
log.debug("Sending Push message to User (ID: %s)", subject_id)
push_id = lstrip_word(device.push_id, "dev_")
push_id = lstrip_word(push_id, "prod_")
response = get_gcm().json_request(
registration_ids=[
push_id,
],
data={
"message": android_text,
"data": data,
"title": title
},
restricted_package_name=os.environ.get(
"GCM_PACKAGE", settings.get("gcm.package", "")),
priority='high',
delay_while_idle=False)
if response:
gcm_feedback(response)
def _calculate_related_artists_scores(
session: Session,
user_id,
sample_size=None,
limit=MAX_RELATED_ARTIST_COUNT) -> List[RelatedArtist]:
"""Calculates the scores of related artists to the given user_id by
querying who followers of the user_id also follow and using the scoring algorithm:
`score = mutual_follower_count * percentage_of_suggested_artist_followers`
"""
# Get all the followers of the artist
followers_subquery = aliased(
Follow,
session.query(Follow.follower_user_id).filter(
Follow.followee_user_id == user_id,
Follow.is_current,
Follow.is_delete == False,
).subquery(name="followers"),
)
if sample_size is None:
followers_sampled = aliased(Follow)
else:
followers_sampled = aliased(
Follow,
tablesample(cast(FromClause, Follow),
func.system_rows(sample_size)))
# Find out who the followers are following
mutual_followers_subquery = (session.query(
followers_sampled.followee_user_id.label("suggested_artist_id"),
func.count(followers_subquery.follower_user_id).label(
"mutual_follower_count"),
).select_from(followers_subquery).join(
followers_sampled,
followers_subquery.follower_user_id ==
followers_sampled.follower_user_id,
).filter(
followers_sampled.is_current,
followers_sampled.is_delete == False,
followers_sampled.followee_user_id != user_id,
).group_by(
followers_sampled.followee_user_id).subquery(name="mutual_followers"))
# Score the artists gathered from the above queries by:
#
# score = mutual_follower_count * percentage_of_suggested_artist_followers
#
# Examples:
#
# If we're finding related artists to artist A and artist B shares 20 followers
# with artist A, and 50% of artist B's following are followers of artist A, then
# the score for artist B is 20 * 0.50 = 10.
#
# If artists A and C share 1000 followers but C has 100,000 followers total, then
# that's only 1% of artist C's following. Artist C gets a score of 1,000 * 0.01 = 10
#
scoring_query = (
session.query(
User.user_id.label("related_artist_user_id"),
func.round(
1.0 * column("mutual_follower_count") *
column("mutual_follower_count") / AggregateUser.follower_count,
3,
).label("score"),
).select_from(mutual_followers_subquery).join(
AggregateUser,
AggregateUser.user_id == column("suggested_artist_id")).
join(User, User.user_id == column("suggested_artist_id")).filter(
User.is_current,
AggregateUser.track_count > 0,
# Should never be true, but occasionally this is the mutual artist's
# first follow and aggregate user hasn't updated yet
AggregateUser.follower_count > 0,
).order_by(desc(column("score")), User.user_id).limit(limit))
rows = scoring_query.all()
related_artists = [
RelatedArtist(
user_id=user_id,
related_artist_user_id=row.related_artist_user_id,
score=row.score,
) for row in rows
]
return related_artists
def _count_table_rows_(self, table):
sel = select([func.count()]).select_from(table)
return self.conn.execute(sel).scalar()
def invoice(payment_id, fmt=None):
pdf = False
if fmt == "pdf":
pdf = True
elif fmt:
abort(404)
payment = get_user_payment_or_abort(payment_id, allow_admin=True)
form = InvoiceForm()
if form.validate_on_submit():
current_user.company = form.company.data
payment.issue_vat_invoice_number()
db.session.commit()
flash("Company name updated")
return redirect(url_for(".invoice", payment_id=payment_id))
if request.method != "POST":
form.company.data = current_user.company
edit_company = bool(request.args.get("edit_company"))
if request.args.get("js") == "0":
flash("Please use your browser's print feature or download the PDF")
invoice_lines = (
Purchase.query.filter_by(payment_id=payment_id)
.join(PriceTier, Product)
.with_entities(PriceTier, func.count(Purchase.price_tier_id))
.group_by(PriceTier, Product.name)
.order_by(Product.name)
.all()
)
ticket_sum = sum(
pt.get_price(payment.currency).value_ex_vat * count
for pt, count in invoice_lines
)
if payment.provider == "stripe":
premium = payment.__class__.premium(payment.currency, ticket_sum)
else:
premium = Decimal(0)
subtotal = ticket_sum + premium
vat = subtotal * Decimal("0.2")
# FIXME: we should use a currency-specific quantization here (or rounder numbers)
if subtotal + vat - payment.amount > Decimal("0.01"):
app.logger.error(
"Invoice total mismatch: %s + %s - %s = %s",
subtotal,
vat,
payment.amount,
subtotal + vat - payment.amount,
)
flash("Your invoice cannot currently be displayed")
return redirect(url_for("users.purchases"))
if payment.vat_invoice_number:
mode = "invoice"
invoice_number = payment.issue_vat_invoice_number()
else:
mode = "receipt"
invoice_number = None
page = render_template(
"payments/invoice.html",
mode=mode,
payment=payment,
account=payment.recommended_destination,
invoice_lines=invoice_lines,
form=form,
premium=premium,
subtotal=subtotal,
vat=vat,
edit_company=edit_company,
invoice_number=invoice_number,
)
url = external_url(".invoice", payment_id=payment_id)
if pdf:
return send_file(
render_pdf(url, page),
mimetype="application/pdf",
cache_timeout=60,
attachment_filename=f"emf_{mode}.pdf",
as_attachment=True,
)
if mode == "invoice":
invoice_dir = "/vat_invoices"
if not os.path.exists(invoice_dir):
logger.warn(
"Not exporting VAT invoice as directory (%s) does not exist",
invoice_dir,
)
return page
with open(os.path.join(invoice_dir, f"{invoice_number}.pdf"), "wb") as f:
shutil.copyfileobj(render_pdf(url, page), f)
return page
def stats():
# Don't care about the state of the payment if it's paid for
paid = Ticket.query.filter_by(paid=True)
parking_paid = paid.join(TicketType).filter_by(admits='car')
campervan_paid = paid.join(TicketType).filter_by(admits='campervan')
# For new payments, the user hasn't committed to paying yet
unpaid = Payment.query.filter(
Payment.state != 'new',
Payment.state != 'cancelled'
).join(Ticket).filter_by(paid=False)
expired = unpaid.filter_by(expired=True)
unexpired = unpaid.filter_by(expired=False)
# Providers who take a while to clear - don't care about captured Stripe payments
gocardless_unpaid = unpaid.filter(Payment.provider == 'gocardless',
Payment.state == 'inprogress')
banktransfer_unpaid = unpaid.filter(Payment.provider == 'banktransfer',
Payment.state == 'inprogress')
# TODO: remove this if it's not needed
full_gocardless_unexpired = unexpired.filter(Payment.provider == 'gocardless',
Payment.state == 'inprogress'). \
join(TicketType).filter_by(admits='full')
full_banktransfer_unexpired = unexpired.filter(Payment.provider == 'banktransfer',
Payment.state == 'inprogress'). \
join(TicketType).filter_by(admits='full')
# These are people queries - don't care about cars or campervans being checked in
checked_in = Ticket.query.join(TicketType).filter(TicketType.admits.in_(['full', 'kid'])) \
.join(TicketCheckin).filter_by(checked_in=True)
badged_up = TicketCheckin.query.filter_by(badged_up=True)
users = User.query # noqa
proposals = Proposal.query
# Simple count queries
queries = [
'checked_in', 'badged_up',
'users',
'proposals',
'gocardless_unpaid', 'banktransfer_unpaid',
'full_gocardless_unexpired', 'full_banktransfer_unexpired',
]
stats = ['%s:%s' % (q, locals()[q].count()) for q in queries]
# Admission types breakdown
admit_types = ['full', 'kid', 'campervan', 'car']
admit_totals = dict.fromkeys(admit_types, 0)
for query in 'paid', 'expired', 'unexpired':
tickets = locals()[query].join(TicketType).with_entities( # noqa
TicketType.admits,
func.count(),
).group_by(TicketType.admits).all()
tickets = dict(tickets)
for a in admit_types:
stats.append('%s_%s:%s' % (a, query, tickets.get(a, 0)))
admit_totals[a] += tickets.get(a, 0)
# and totals
for a in admit_types:
stats.append('%s:%s' % (a, admit_totals[a]))
return ' '.join(stats)
from urllib.parse import quote_plus # PY2: from urllib import quote_plus
from sqlalchemy.engine import create_engine
from sqlalchemy.sql.expression import select
from sqlalchemy.sql.functions import func
from sqlalchemy.sql.schema import Table, MetaData
conn_str = 'awsathena+rest://{aws_access_key_id}:{aws_secret_access_key}@athena.{region_name}.amazonaws.com:443/'\
'{schema_name}?s3_staging_dir={s3_staging_dir}'
engine = create_engine(
conn_str.format(aws_access_key_id=quote_plus('YOUR_ACCESS_KEY_ID'),
aws_secret_access_key=quote_plus('YOUR_SECRET_ACCESS_KEY'),
region_name='us-west-2',
schema_name='default',
s3_staging_dir=quote_plus('s3://YOUR_S3_BUCKET/path/to/')))
many_rows = Table('many_rows', MetaData(bind=engine), autoload=True)
print(select([func.count('*')], from_obj=many_rows).scalar())
def group_by_query(conn):
from sqlalchemy.sql.functions import func
data = conn.query(func.count(User.id), User.pwd).group_by(User.pwd).all()
return data
def get_count_query(self) -> query:
from pcapi.core.users.models import User
return self.session.query(func.count(distinct(
User.id))).select_from(User).filter(User.isAdmin.is_(True))
