class HeatLoadProfileNuts(db.Model):
__tablename__ = 'load_profile'
__table_args__ = (db.ForeignKeyConstraint(
['fk_nuts_gid'], ['geo.nuts.gid'], name='load_profile_nuts_gid_fkey'),
db.ForeignKeyConstraint(
['fk_time_id'], ['stat.time.id'],
name='load_profile_time_id_fkey'), {
"schema": 'stat'
})
CRS = 4258
id = db.Column(db.Integer, primary_key=True)
nuts_id = db.Column(db.String(14))
process_id = db.Column(db.Integer)
process = db.Column(db.String())
unit = db.Column(db.String())
value = db.Column(db.Numeric(precision=30, scale=10))
fk_nuts_gid = db.Column(db.BigInteger)
fk_time_id = db.Column(db.BigInteger)
nuts = db.relationship("Nuts")
time = db.relationship("Time")
def __repr__(self):
return "<HeatLoadProfileNuts(nuts_id='%s', time='%s', value='%d', unit='%s')>" % (
self.nuts_id, str(self.time), self.value, self.unit)
class PopulationDensityHaModel(db.Model):
__tablename__ = 'pop_tot_curr_density'
__table_args__ = ({"schema": 'geo'})
CRS = 3035
rid = db.Column(db.Integer, primary_key=True)
rast = db.Column(Raster)
filename = db.Column(db.String)
date = db.Column(db.Date)
def __repr__(self):
str_date = self.date.strftime("%Y-%m-%d")
return "<PopDensity1ha(rid='%s', date='%s', filename='%d', rast='%s')>" % (
self.rid, str_date, self.filename, str(self.rast))
class Nuts(db.Model):
__tablename__ = 'nuts'
__table_args__ = ({"schema": 'geo'})
CRS = 4258
gid = db.Column(db.Integer, primary_key=True)
nuts_id = db.Column(db.String(14))
name = db.Column(db.String(255))
stat_levl_ = db.Column(db.Integer)
shape_area = db.Column(db.Numeric)
shape_len = db.Column(db.Numeric)
geom = db.Column(Geometry('GEOMETRY', 4258))
year = db.Column(db.Date)
def __repr__(self):
return "<Nuts(nuts_id='%s', name='%s', level='%s')>" % (
self.nuts_id, self.name, self.stat_levl_)
class Lau(db.Model):
__tablename__ = 'lau'
__table_args__ = (
{"schema": 'public'}
)
CRS = 3035
gid = db.Column(db.Integer, primary_key=True)
comm_id = db.Column(db.String(14))
#name = db.Column(db.String(255))
stat_levl_ = db.Column(db.Integer)
shape_area = db.Column(db.Numeric)
shape_leng = db.Column(db.Numeric)
geom = db.Column(Geometry('GEOMETRY', 4258))
year = db.Column(db.Date)
def __repr__(self):
return "<Lau(comm_id='%s', level='%s')>" % (
self.comm_id, self.stat_levl_)
class WwtpModel(db.Model):
__tablename__ = 'wwtp'
__table_args__ = ({"schema": 'geo'})
CRS = 3035
gid = db.Column(db.Integer, primary_key=True)
date = db.Column(db.Date)
capacity = db.Column(db.Numeric)
power = db.Column(db.Numeric)
unit = db.Column(db.String(255))
geom = db.Column(Geometry('GEOMETRY', 4258))
def __repr__(self):
str_date = self.date.strftime("%Y-%m-%d")
return "<Wwtp(gid= '%d', date='%s', capacity='%d', power='%d', unit='%s', geom='%s')>" % (
self.gid, str_date, self.capacity, self.power, self.unit,
self.geom)
class PopulationDensityNutsModel(db.Model):
__tablename__ = 'pop_tot_curr_density_tif_nuts'
__table_args__ = (db.ForeignKeyConstraint(['nuts_id'],
['geo.nuts_rg_01m.nuts_id']), {
"schema": 'stat'
})
CRS = 4258
id = db.Column(db.Integer, primary_key=True)
nuts_id = db.Column(db.String(14))
#date = db.Column(db.Date)
count = db.Column(db.BigInteger)
sum = db.Column(db.Numeric(precision=30, scale=10))
mean = db.Column(db.Numeric(precision=30, scale=10))
median = db.Column(db.Numeric(precision=30, scale=10))
min = db.Column(db.Numeric(precision=30, scale=10))
max = db.Column(db.Numeric(precision=30, scale=10))
std = db.Column(db.Numeric(precision=30, scale=10))
variance = db.Column(db.Numeric(precision=30, scale=10))
range = db.Column(db.Numeric(precision=30, scale=10))
nuts = db.relationship("NutsRG01M")
def __repr__(self):
str_date = self.date.strftime("%Y-%m-%d")
return "<PopDensity(nuts_id='%s', date='%s', value='%d', nuts='%s')>" % (
self.nuts_id, str_date, self.value, str(self.nuts))
class PopulationDensityLauModel(db.Model):
__tablename__ = 'pop_tot_curr_density_lau_test'
"""__table_args__ = (
db.ForeignKeyConstraint(['fk_lau_gid'], ['geo.lau.gid']),
db.ForeignKeyConstraint(['fk_time_id'], ['stat.time.id']),
{"schema": 'stat'}
)
"""
__table_args__ = (db.ForeignKeyConstraint(['fk_lau_gid'],
['public.lau.gid']), {
"schema": 'stat'
})
CRS = 3035
id = db.Column(db.Integer, primary_key=True)
comm_id = db.Column(db.String(14))
count = db.Column(db.BigInteger)
sum = db.Column(db.Numeric(precision=30, scale=10))
mean = db.Column(db.Numeric(precision=30, scale=10))
median = db.Column(db.Numeric(precision=30, scale=10))
min = db.Column(db.Numeric(precision=30, scale=10))
max = db.Column(db.Numeric(precision=30, scale=10))
std = db.Column(db.Numeric(precision=30, scale=10))
variance = db.Column(db.Numeric(precision=30, scale=10))
range = db.Column(db.Numeric(precision=30, scale=10))
fk_lau_gid = db.Column(db.BigInteger)
#fk_time_id = db.Column(db.BigInteger)
lau = db.relationship("Lau")
#time = db.relationship("Time")
def __repr__(self):
return "<PopDensityLau(comm_id='%s', year='%s', sum='%d', lau='%s')>" % \
(self.comm_id, self.time.year, self.sum, str(self.lau))
class Time(db.Model):
__tablename__ = 'time'
__table_args__ = (
{"schema": 'stat'}
)
id = db.Column(db.Integer, primary_key=True)
granularity = db.Column(db.String(14))
date = db.Column(db.Date)
hour_of_year = db.Column(db.BigInteger)
hour_of_day = db.Column(db.SmallInteger)
season = db.Column(db.String(14))
weekday = db.Column(db.String(14))
day = db.Column(db.SmallInteger)
month = db.Column(db.SmallInteger)
year = db.Column(db.SmallInteger)
timestamp = db.Column(db.DateTime(timezone=False))
def __repr__(self):
return "<Time(%s)>" % (self.timestamp.strftime("%Y-%m-%d %H:%M"))
