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