class part_projects(db.Model):
__tablename__ = 'part_projects'
# pprojid = db.Column(INTEGER,db.Sequence('seq_part_projects'), primary_key=True)
# SQL Alchemy ne genere pas la sequence comme dans les autres tables précédentes, probablement un evolution
# mais genere à la place un champ de type serial qui crée une sequence associée
pprojid = db.Column(INTEGER,
db.Sequence('part_projects_pprojid_seq'),
primary_key=True)
ptitle = db.Column(VARCHAR(250), nullable=False)
rawfolder = db.Column(VARCHAR(250), nullable=False)
ownerid = db.Column(db.Integer, db.ForeignKey('users.id'))
owneridrel = db.relationship("users")
projid = db.Column(INTEGER, db.ForeignKey('projects.projid'))
project = db.relationship("Projects")
instrumtype = db.Column(VARCHAR(50))
op_name = db.Column(VARCHAR(100))
op_email = db.Column(VARCHAR(100))
cs_name = db.Column(VARCHAR(100))
cs_email = db.Column(VARCHAR(100))
do_name = db.Column(VARCHAR(100))
do_email = db.Column(VARCHAR(100))
prj_info = db.Column(VARCHAR(1000))
prj_acronym = db.Column(VARCHAR(100))
cruise = db.Column(VARCHAR(100))
ship = db.Column(VARCHAR(100))
default_instrumsn = db.Column(VARCHAR(50))
default_depthoffset = db.Column(DOUBLE_PRECISION)
public_visibility_deferral_month = db.Column(INTEGER)
public_partexport_deferral_month = db.Column(INTEGER)
public_zooexport_deferral_month = db.Column(INTEGER)
oldestsampledate = db.Column(TIMESTAMP)
def __str__(self):
return "{0} ({1})".format(self.ptitle, self.pprojid)
class ObjectsClassifHisto(db.Model):
__tablename__ = 'objectsclassifhisto'
objid = db.Column(BIGINT,
db.ForeignKey('obj_head.objid', ondelete="CASCADE"),
primary_key=True)
classif_date = db.Column(TIMESTAMP, primary_key=True)
classif_type = db.Column(CHAR(1)) # A : Auto, M : Manu
classif_id = db.Column(INTEGER)
classif_qual = db.Column(CHAR(1))
classif_who = db.Column(db.Integer, db.ForeignKey('users.id'))
classif_score = db.Column(DOUBLE_PRECISION)
class Objects(db.Model):
__tablename__ = 'obj_head'
objid = db.Column(BIGINT, db.Sequence('seq_objects'), primary_key=True)
projid = db.Column(INTEGER,
db.ForeignKey('projects.projid'),
nullable=False)
project = db.relationship("Projects")
latitude = db.Column(DOUBLE_PRECISION)
longitude = db.Column(DOUBLE_PRECISION)
objdate = db.Column(DATE)
objtime = db.Column(TIME)
depth_min = db.Column(FLOAT)
depth_max = db.Column(FLOAT)
images = db.relationship("Images")
classif_id = db.Column(INTEGER)
classif = db.relationship(
"Taxonomy",
primaryjoin="Taxonomy.id==Objects.classif_id",
foreign_keys="Taxonomy.id",
uselist=False,
)
classif_qual = db.Column(CHAR(1))
classif_who = db.Column(db.Integer, db.ForeignKey('users.id'))
classiffier = db.relationship(
"users",
primaryjoin="users.id==Objects.classif_who",
foreign_keys="users.id",
uselist=False,
)
classif_when = db.Column(TIMESTAMP)
classif_auto_id = db.Column(INTEGER)
classif_auto_score = db.Column(DOUBLE_PRECISION)
classif_auto_when = db.Column(TIMESTAMP)
classif_auto = db.relationship(
"Taxonomy",
primaryjoin="Taxonomy.id==foreign(Objects.classif_auto_id)",
uselist=False,
)
classif_crossvalidation_id = db.Column(INTEGER)
img0id = db.Column(BIGINT)
img0 = db.relationship("Images", foreign_keys="Images.objid")
imgcount = db.Column(INTEGER)
complement_info = db.Column(VARCHAR)
similarity = db.Column(DOUBLE_PRECISION)
sunpos = db.Column(CHAR(1)) # position du soleil
random_value = db.Column(INTEGER)
sampleid = db.Column(INTEGER, db.ForeignKey('samples.sampleid'))
sample = db.relationship("Samples")
acquisid = db.Column(INTEGER, db.ForeignKey('acquisitions.acquisid'))
acquis = db.relationship("Acquisitions")
processid = db.Column(INTEGER, db.ForeignKey('process.processid'))
processrel = db.relationship("Process")
class part_ctd(db.Model):
__tablename__ = 'part_ctd'
psampleid = db.Column(INTEGER,
db.ForeignKey('part_samples.psampleid'),
primary_key=True)
lineno = db.Column(INTEGER, primary_key=True)
depth = db.Column(DOUBLE_PRECISION)
datetime = db.Column(TIMESTAMP)
chloro_fluo = db.Column(DOUBLE_PRECISION)
conductivity = db.Column(DOUBLE_PRECISION)
cpar = db.Column(DOUBLE_PRECISION)
depth_salt_water = db.Column(DOUBLE_PRECISION)
fcdom_factory = db.Column(DOUBLE_PRECISION)
in_situ_density_anomaly = db.Column(DOUBLE_PRECISION)
neutral_density = db.Column(DOUBLE_PRECISION)
nitrate = db.Column(DOUBLE_PRECISION)
oxygen_mass = db.Column(DOUBLE_PRECISION)
oxygen_vol = db.Column(DOUBLE_PRECISION)
par = db.Column(DOUBLE_PRECISION)
part_backscattering_coef_470_nm = db.Column(DOUBLE_PRECISION)
pot_temperature = db.Column(DOUBLE_PRECISION)
potential_density_anomaly = db.Column(DOUBLE_PRECISION)
potential_temperature = db.Column(DOUBLE_PRECISION)
practical_salinity = db.Column(DOUBLE_PRECISION)
practical_salinity__from_conductivity = db.Column(DOUBLE_PRECISION)
qc_flag = db.Column(INTEGER)
sound_speed_c = db.Column(DOUBLE_PRECISION)
spar = db.Column(DOUBLE_PRECISION)
temperature = db.Column(DOUBLE_PRECISION)
class Token(db.Model):
__tablename__ = "token"
id = db.Column(db.Integer, primary_key=True)
contract = db.Column(db.String)
network = db.Column(db.String)
record = db.Column(db.JSON)
user_id = db.Column(db.Integer, db.ForeignKey('user.id'))
class part_histopart_det(db.Model):
__tablename__ = 'part_histopart_det'
psampleid = db.Column(INTEGER,
db.ForeignKey('part_samples.psampleid'),
primary_key=True)
lineno = db.Column(INTEGER, primary_key=True)
depth = db.Column(DOUBLE_PRECISION)
datetime = db.Column(TIMESTAMP)
watervolume = db.Column(DOUBLE_PRECISION)
class Process(db.Model):
__tablename__ = 'process'
processid = db.Column(BIGINT, db.Sequence('seq_process'), primary_key=True)
projid = db.Column(INTEGER, db.ForeignKey('projects.projid'))
project = db.relationship("Projects")
orig_id = db.Column(VARCHAR(255))
def __str__(self):
return "{0} ({1})".format(self.orig_id, self.processid)
class ProjectsPriv(db.Model):
__tablename__ = 'projectspriv'
id = db.Column(db.Integer,
db.Sequence('seq_projectspriv'),
primary_key=True)
projid = db.Column(INTEGER,
db.ForeignKey('projects.projid', ondelete="CASCADE"),
nullable=False)
member = db.Column(db.Integer, db.ForeignKey('users.id'))
privilege = db.Column(VARCHAR(255), nullable=False)
memberrel = db.relationship("users")
refproject = db.relationship('Projects',
backref=db.backref(
'projmembers',
cascade="all, delete-orphan",
single_parent=True)) # ,cascade='delete'
def __str__(self):
return "{0} ({1})".format(self.member, self.privilege)
class ProjectsTaxoStat(db.Model):
__tablename__ = 'projects_taxo_stat'
projid = db.Column(INTEGER,
db.ForeignKey('projects.projid', ondelete="CASCADE"),
primary_key=True)
id = db.Column(INTEGER, primary_key=True)
nbr = db.Column(INTEGER)
nbr_v = db.Column(INTEGER)
nbr_d = db.Column(INTEGER)
nbr_p = db.Column(INTEGER)
class Objects_cnn_features(db.Model):
__tablename__ = 'obj_cnn_features'
objcnnid = db.Column(BIGINT,
db.ForeignKey('obj_head.objid', ondelete="CASCADE"),
primary_key=True)
objhrel = db.relationship(
"Objects",
foreign_keys="Objects.objid",
primaryjoin="Objects_cnn_features.objcnnid==Objects.objid",
uselist=False,
backref="objcnnrel")
class Samples(db.Model):
__tablename__ = 'samples'
sampleid = db.Column(BIGINT, db.Sequence('seq_samples'), primary_key=True)
projid = db.Column(INTEGER, db.ForeignKey('projects.projid'))
project = db.relationship("Projects")
orig_id = db.Column(VARCHAR(255))
latitude = db.Column(DOUBLE_PRECISION)
longitude = db.Column(DOUBLE_PRECISION)
dataportal_descriptor = db.Column(VARCHAR(8000))
def __str__(self):
return "{0} ({1})".format(self.orig_id, self.processid)
class part_histocat(db.Model):
__tablename__ = 'part_histocat'
psampleid = db.Column(INTEGER,
db.ForeignKey('part_samples.psampleid'),
primary_key=True)
classif_id = db.Column(INTEGER, primary_key=True)
lineno = db.Column(INTEGER, primary_key=True)
depth = db.Column(DOUBLE_PRECISION)
datetime = db.Column(TIMESTAMP)
watervolume = db.Column(DOUBLE_PRECISION)
nbr = db.Column(DOUBLE_PRECISION)
avgesd = db.Column(DOUBLE_PRECISION)
totalbiovolume = db.Column(DOUBLE_PRECISION) # en mm3
class ObjectsFields(db.Model):
__tablename__ = 'obj_field'
objfid = db.Column(BIGINT,
db.ForeignKey('obj_head.objid', ondelete="CASCADE"),
primary_key=True)
objhrel = db.relationship(
"Objects",
foreign_keys="Objects.objid",
primaryjoin="ObjectsFields.objfid==Objects.objid",
uselist=False,
backref="objfrel")
orig_id = db.Column(VARCHAR(255))
object_link = db.Column(VARCHAR(255))
class Images(db.Model):
__tablename__ = 'images'
imgid = db.Column(BIGINT, db.Sequence('seq_images'),
primary_key=True) # manuel ,db.Sequence('seq_images')
objid = db.Column(BIGINT, db.ForeignKey('obj_head.objid'))
imgrank = db.Column(INTEGER)
file_name = db.Column(VARCHAR(255))
orig_file_name = db.Column(VARCHAR(255))
width = db.Column(INTEGER)
height = db.Column(INTEGER)
thumb_file_name = db.Column(VARCHAR(255))
thumb_width = db.Column(INTEGER)
thumb_height = db.Column(INTEGER)
class Task(db.Model):
__tablename__ = 'temp_tasks'
id = db.Column(db.Integer(),
db.Sequence('seq_temp_tasks'),
primary_key=True)
owner_id = db.Column(db.Integer(), db.ForeignKey('users.id'))
owner_rel = db.relationship("users")
taskclass = db.Column(db.String(80))
taskstate = db.Column(db.String(80))
taskstep = db.Column(db.Integer())
progresspct = db.Column(db.Integer())
progressmsg = db.Column(db.String())
inputparam = db.Column(db.String())
creationdate = db.Column(db.DateTime())
lastupdate = db.Column(db.DateTime())
def __str__(self):
return self.name
class part_samples(db.Model):
__tablename__ = 'part_samples'
# psampleid = db.Column(INTEGER,db.Sequence('seq_part_samples'), primary_key=True)
# SQL Alchemy ne genere pas la sequence comme dans les autres tables précédentes, probablement un evolution
# mais genere à la place un champ de type serial qui crée une sequence associée
psampleid = db.Column(INTEGER,
db.Sequence('part_samples_psampleid_seq'),
primary_key=True)
pprojid = db.Column(INTEGER, db.ForeignKey('part_projects.pprojid'))
project = db.relationship("part_projects")
profileid = db.Column(VARCHAR(250), nullable=False)
filename = db.Column(VARCHAR(250), nullable=False)
sampleid = db.Column(INTEGER, db.ForeignKey('samples.sampleid'))
sample = db.relationship("Samples")
latitude = db.Column(DOUBLE_PRECISION)
longitude = db.Column(DOUBLE_PRECISION)
organizedbydeepth = db.Column(db.Boolean())
histobrutavailable = db.Column(db.Boolean())
qualitytaxo = db.Column(VARCHAR(20))
qualitypart = db.Column(VARCHAR(20))
daterecalculhistotaxo = db.Column(TIMESTAMP)
winddir = db.Column(INTEGER)
winspeed = db.Column(INTEGER)
seastate = db.Column(INTEGER)
nebuloussness = db.Column(INTEGER)
comment = db.Column(VARCHAR(1000))
stationid = db.Column(VARCHAR(100))
firstimage = db.Column(INTEGER)
lastimg = db.Column(BIGINT)
lastimgused = db.Column(BIGINT)
bottomdepth = db.Column(INTEGER)
yoyo = db.Column(db.Boolean())
sampledate = db.Column(TIMESTAMP)
op_sample_name = db.Column(VARCHAR(100))
op_sample_email = db.Column(VARCHAR(100))
ctd_desc = db.Column(VARCHAR(1000))
ctd_origfilename = db.Column(VARCHAR(250))
ctd_import_name = db.Column(VARCHAR(100))
ctd_import_email = db.Column(VARCHAR(100))
ctd_import_datetime = db.Column(TIMESTAMP)
ctd_status = db.Column(VARCHAR(50))
instrumsn = db.Column(VARCHAR(50))
acq_aa = db.Column(DOUBLE_PRECISION)
acq_exp = db.Column(DOUBLE_PRECISION)
acq_volimage = db.Column(DOUBLE_PRECISION)
acq_depthoffset = db.Column(DOUBLE_PRECISION)
acq_pixel = db.Column(DOUBLE_PRECISION)
acq_shutterspeed = db.Column(INTEGER)
acq_smzoo = db.Column(INTEGER)
acq_exposure = db.Column(INTEGER)
acq_gain = db.Column(INTEGER)
acq_filedescription = db.Column(VARCHAR(200))
acq_eraseborder = db.Column(INTEGER)
acq_tasktype = db.Column(INTEGER)
acq_threshold = db.Column(INTEGER)
acq_choice = db.Column(INTEGER)
acq_disktype = db.Column(INTEGER)
acq_smbase = db.Column(INTEGER)
acq_ratio = db.Column(INTEGER)
acq_descent_filter = db.Column(db.Boolean())
acq_presure_gain = db.Column(DOUBLE_PRECISION)
acq_xsize = db.Column(INTEGER)
acq_ysize = db.Column(INTEGER)
acq_barcode = db.Column(VARCHAR(50))
proc_datetime = db.Column(TIMESTAMP)
proc_gamma = db.Column(DOUBLE_PRECISION)
proc_soft = db.Column(VARCHAR(250))
lisst_zscat_filename = db.Column(VARCHAR(200))
lisst_kernel = db.Column(VARCHAR(200))
lisst_year = db.Column(INTEGER)
txt_data01 = db.Column(VARCHAR(200))
txt_data02 = db.Column(VARCHAR(200))
txt_data03 = db.Column(VARCHAR(200))
txt_data04 = db.Column(VARCHAR(200))
txt_data05 = db.Column(VARCHAR(200))
txt_data06 = db.Column(VARCHAR(200))
txt_data07 = db.Column(VARCHAR(200))
txt_data08 = db.Column(VARCHAR(200))
txt_data09 = db.Column(VARCHAR(200))
txt_data10 = db.Column(VARCHAR(200))
proc_process_ratio = db.Column(INTEGER)
imp_descent_filtered_row = db.Column(INTEGER)
imp_removed_empty_slice = db.Column(INTEGER)
def __str__(self):
return "{0} ({1})".format(self.profileid, self.psampleid)
class part_histocat_lst(db.Model):
__tablename__ = 'part_histocat_lst'
psampleid = db.Column(INTEGER,
db.ForeignKey('part_samples.psampleid'),
primary_key=True)
classif_id = db.Column(INTEGER, primary_key=True)
from sqlalchemy import Index, Sequence, func
from sqlalchemy.exc import DBAPIError
from sqlalchemy.orm import foreign, remote
import json, psycopg2.extras, datetime, os, time
AdministratorLabel = "Application Administrator"
ClassifQual = {'P': 'predicted', 'D': 'dubious', 'V': 'validated'}
TaxoType = {'P': 'Phylo', 'M': 'Morpho'}
TaxoStatus = {'A': 'Active', 'D': 'Deprecated', 'N': 'Not reviewed'}
users_roles = db.Table(
'users_roles',
db.Column('user_id',
db.Integer(),
db.ForeignKey('users.id'),
primary_key=True),
db.Column('role_id',
db.Integer(),
db.ForeignKey('roles.id'),
primary_key=True))
class roles(db.Model, RoleMixin):
id = db.Column(db.Integer(), primary_key=True) #,db.Sequence('seq_roles')
name = db.Column(db.String(80), unique=True, nullable=False)
def __str__(self):
return self.name
