class User(UserMixin, db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(64), index=True, unique=True)
# Temporarily remove the email field do reduce risk of emails being intercepted
# We can reinstate this once we have https setup.
# email = db.Column(db.String(120), index=True, unique=True)
password_hash = db.Column(db.String(128))
is_admin = db.Column(db.Boolean, default=False)
def __repr__(self):
return f'<User {self.username}>'
def set_password(self, password):
self.password_hash = generate_password_hash(password)
def check_password(self, password):
return check_password_hash(self.password_hash, password)
class DataSetSampleSequence(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_datasetsamplesequence'
id = db.Column(db.Integer, primary_key=True)
# FKeys
data_set_sample_from_id = db.Column(
db.Integer, db.ForeignKey('dbApp_datasetsample.id'))
clade_collection_found_in_id = db.Column(
db.Integer, db.ForeignKey('dbApp_cladecollection.id'))
reference_sequence_of_id = db.Column(
db.Integer, db.ForeignKey('dbApp_referencesequence.id'))
abundance = db.Column(db.Integer, default=0)
def __str__(self):
if self.referencesequence.has_name:
return self.referencesequence.name
else:
return 'ID=' + str(self.id)
class DataSetSampleSequencePM(db.Model):
# this is the pre-MED version of the DataSetSampleSequence object
# its purpose is to keep track of the
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_datasetsamplesequencepm'
id = db.Column(db.Integer, primary_key=True)
# FKeys
data_set_sample_from_id = db.Column(
db.Integer, db.ForeignKey('dbApp_datasetsample.id'))
reference_sequence_of_id = db.Column(
db.Integer, db.ForeignKey('dbApp_referencesequence.id'))
abundance = db.Column(db.Integer, default=0)
def __str__(self):
if self.referencesequence.has_name:
return self.referncesequence.name
else:
return 'ID=' + str(self.id)
class CladeCollection(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_cladecollection'
id = db.Column(db.Integer, primary_key=True)
data_set_sample_from_id = db.Column(
db.Integer, db.ForeignKey('dbApp_datasetsample.id'), nullable=False)
analysis_types = db.relationship('AnalysisType',
secondary=cladeCollectionType,
backref=db.backref('clade_collections'))
data_set_sample_sequences = db.relationship('DataSetSampleSequence',
backref='cladecollection')
# data_set_sample_from = models.ForeignKey(DataSetSample, on_delete=models.CASCADE, null=True)
clade = db.Column(db.String(1), nullable=False)
# the method below to get the footprint of the clade_collection_object is incredibly slow.
# Hopefully a much faster way will be to store the ID's of the refseqs that make up the footprint
# I will therefore store the reference uids in the field below
footprint = db.Column(db.String(100000), nullable=False)
def __str__(self):
return self.datasetsample.name
class SPUser(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_user'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(100), index=True, unique=True, nullable=False)
studies = db.relationship('Study',
secondary=SPUser__Study,
lazy='dynamic',
backref=db.backref('users', lazy='dynamic'))
# This is set to False when User is created. Upon upload to symportal.org
# a user that matches this name will be searched for in the app.db database.
# If no matching user if found, an error will be thrown. If a user is found,
# This value will be set to true, and the ID of the User in the app.db database
# will be stored in app_db_key below.
# The id of this object will also be stored in the app.db User object that matches
app_db_key_is_set = db.Column(db.Boolean, default=False)
app_db_key_id = db.Column(db.Integer, nullable=True)
def __repr__(self):
return f'<SPUser {self.name}>'
class DataAnalysis(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_dataanalysis'
id = db.Column(db.Integer, primary_key=True)
analysis_types = db.relationship('AnalysisType', backref='data_analysis')
# This will be a jsoned list of uids of the dataSubmissions that are included in this analysis
list_of_data_set_uids = db.Column(db.String(500), nullable=True)
# within_clade_cutoff = models.FloatField(default=0.04)
within_clade_cutoff = db.Column(db.Float(), nullable=False)
name = db.Column(db.String(500), nullable=True)
# name = models.CharField(max_length=100, null=True)
# description = models.CharField(max_length=5000, null=True)
description = db.Column(db.String(5000), nullable=True)
time_stamp = db.Column(db.String(100), nullable=False)
submitting_user = db.Column(db.String(100), nullable=False)
submitting_user_email = db.Column(db.String(100), nullable=False)
analysis_complete_time_stamp = db.Column(db.String(100), nullable=False)
class ReferenceSequence(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_referencesequence'
id = db.Column(db.Integer, primary_key=True)
data_set_sample_sequences = db.relationship('DataSetSampleSequence',
backref='referencesequence',
lazy='select')
data_set_sample_sequences_pm = db.relationship('DataSetSampleSequencePM',
backref='referencesequence',
lazy='select')
name = db.Column(db.String(30), default='noName')
has_name = db.Column(db.Boolean, default=False)
clade = db.Column(db.String(30))
accession = db.Column(db.String(50), nullable=True)
sequence = db.Column(db.String(500), nullable=False)
def __str__(self):
if self.has_name:
return self.name
else:
return f'{self.id}_{self.clade}'
def __repr__(self):
if self.has_name:
return self.name
else:
return f'{self.id}_{self.clade}'
class SPDataSet(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_dataset'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(30), nullable=False)
reference_fasta_database_used = db.Column(db.String(60), nullable=False)
submitting_user = db.Column(db.String(100), nullable=False)
submitting_user_email = db.Column(db.String(100), nullable=False)
working_directory = db.Column(db.String(300), nullable=False)
time_stamp = db.Column(db.String(100), nullable=False)
loading_complete_time_stamp = db.Column(db.String(100), nullable=False)
data_set_samples = db.relationship('DataSetSample', backref='dataset')
def __str__(self):
return self.name
def __repr__(self):
return f'<SPDataSet {self.name}>'
class DataSetSample(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_datasetsample'
id = db.Column(db.Integer, primary_key=True)
data_submission_from_id = db.Column(db.Integer,
db.ForeignKey('dbApp_dataset.id'),
nullable=False)
clade_collections = db.relationship('CladeCollection',
backref='dataset_sample')
data_set_sample_sequences = db.relationship('DataSetSampleSequence',
backref='datasetsample')
data_set_sample_sequences_pm = db.relationship('DataSetSampleSequencePM',
backref='datasetsample')
name = db.Column(db.String(200), nullable=False)
# This is the absolute number of sequences after make.contigs
num_contigs = db.Column(db.Integer, default=0)
# store the aboslute number of sequences after inital mothur QC i.e. before tax and size screening
post_qc_absolute_num_seqs = db.Column(db.Integer, default=0)
# This is the unique number of sequences after inital mothur QC i.e. before tax and size screening
post_qc_unique_num_seqs = db.Column(db.Integer, default=0)
# Absolute number of sequences after sequencing QC and screening for Symbiodinium (i.e. Symbiodinium only)
absolute_num_sym_seqs = db.Column(db.Integer, default=0)
# Same as above but the number of unique seqs
unique_num_sym_seqs = db.Column(db.Integer, default=0)
# store the abosolute number of sequenes that were not considered Symbiodinium
non_sym_absolute_num_seqs = db.Column(db.Integer, default=0)
# This is the number of unique sequences that were not considered Symbiodinium
non_sym_unique_num_seqs = db.Column(db.Integer, default=0)
# store the abosulte number of sequences that were lost during the size selection
size_violation_absolute = db.Column(db.Integer, default=0)
# store the unique number of sequences that were lost during the size screening
size_violation_unique = db.Column(db.Integer, default=0)
# store the number of absolute sequences remaining after MED
post_med_absolute = db.Column(db.Integer, default=0)
# store the number of unique sequences remaining after MED (nodes)
post_med_unique = db.Column(db.Integer, default=0)
error_in_processing = db.Column(db.Boolean, default=False)
error_reason = db.Column(db.String(100), nullable=False)
cladal_seq_totals = db.Column(db.String(5000), nullable=False)
# Meta data for the sample
sample_type = db.Column(db.String(50), nullable=False)
host_phylum = db.Column(db.String(50), nullable=False)
host_class = db.Column(db.String(50), nullable=False)
host_order = db.Column(db.String(50), nullable=False)
host_family = db.Column(db.String(50), nullable=False)
host_genus = db.Column(db.String(50), nullable=False)
host_species = db.Column(db.String(50), nullable=False)
collection_latitude = db.Column(db.Numeric(11, 8), nullable=False)
collection_longitude = db.Column(db.Numeric(11, 8), nullable=False)
# do not use the django date field as this causes problems when trying to dump and load the database
collection_date = db.Column(db.String(40), nullable=False)
# store a string rather than a number as this may be given as a range e.g. 6 - 12
collection_date = db.Column(db.String(40), nullable=False)
def __str__(self):
return self.name
def __repr__(self):
return f'<DataSetSample {self.name}>'
class AnalysisType(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_analysistype'
id = db.Column(db.Integer, primary_key=True)
data_analysis_from_id = db.Column(db.Integer,
db.ForeignKey('dbApp_dataanalysis.id'),
nullable=False)
# This should be a frozen set of referenceSequences
# As this is not possible in a django field or jsonable
# I will instead make it a string of reference sequence uids
# I will make set and get methods for the footprint
# This will be a list of refSeqs that make up the footprint in order of their abundance when type first defined
# This is a commar separated string of the uids of the ref seqs that define the type
ordered_footprint_list = db.Column(db.String(200), nullable=True)
# Same for listOfMajs
# set() of refseqs that are Majs in each of the CCs this type was initially identified in.
# Note that this is therefore in no particular order
majority_reference_sequence_set = db.Column(db.String(40), nullable=True)
list_of_clade_collections = db.Column(db.String(100000), nullable=True)
# This is a 2D list, a list for each clade collection in order of the listofCladeCollections
# Within each list the absolute abundances of the defining seqs in order of ordered_footprint_list
footprint_sequence_abundances = db.Column(db.String(100000), nullable=True)
# Same as above but the proportion of the seqs to each other in the cladecollection.
footprint_sequence_ratios = db.Column(db.String(100000), nullable=True)
clade = db.Column(db.String(1), nullable=False)
co_dominant = db.Column(db.Boolean, default=False)
name = db.Column(db.String(1000), nullable=True)
# The list of speceis that this type is associated with
species = db.Column(db.String(200), nullable=True)
# this list will keep track of which of the defining intras of this type are 'unlocked' i.e. at least one
# of the instances of that intra were found at <5%. We will use this list to the 'artefact type creation'
# This artefact_intras will hold a char string of comma separated ints that represent the id's of the
# refseqs that are unlocked
artefact_intras = db.Column(db.String(5000), default='')
def get_ratio_list(self):
return json.loads(self.footprint_sequence_ratios)
# def get_clade_collections(self):
# uids_for_query = [int(x) for x in self.list_of_clade_collections.split(',')]
# cc_objs_list = []
# for uid_list in general.chunks(uids_for_query):
# cc_objs_list.extend(list(CladeCollection.objects.filter(id__in=uid_list)))
# return cc_objs_list
def __str__(self):
return self.name
class Study(db.Model):
__bind_key__ = 'symportal_database'
__tablename__ = 'dbApp_study'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(100), index=True, unique=True, nullable=False)
title = db.Column(db.String(250), nullable=True)
is_published = db.Column(db.Boolean, default=False)
location = db.Column(db.String(50), nullable=True)
run_type = db.Column(db.String(50), default='remote')
article_url = db.Column(db.String(250), nullable=True)
display_online = db.Column(db.Boolean, default=False)
data_url = db.Column(db.String(250), nullable=True)
data_explorer = db.Column(db.Boolean, default=False)
analysis = db.Column(db.Boolean, default=True)
author_list_string = db.Column(db.String(500))
additional_markers = db.Column(db.String(200))
creation_time_stamp = db.Column(db.String(100),
default=set_creation_time_stamp_default)
data_set_samples = db.relationship('DataSetSample',
secondary=Study__DataSetSample,
lazy='dynamic',
backref=db.backref('studies',
lazy='dynamic'))
# num_samples = self.get_num_samples()
def __str__(self):
return self.name
def __repr__(self):
return f'<Study {self.name}>'
def get_num_samples(self):
return len(list(self.data_set_samples))
from sp_app import db
from datetime import datetime
from werkzeug.security import generate_password_hash, check_password_hash
from flask_login import UserMixin
from sp_app import login
@login.user_loader
def load_user(id):
return User.query.get(int(id))
cladeCollectionType = db.Table(
'dbApp_cladecollectiontype',
db.Column('id', db.Integer, primary_key=True),
db.Column('analysis_type_of_id',
db.Integer,
db.ForeignKey('dbApp_analysistype.id'),
primary_key=True),
db.Column('clade_collection_found_in_id',
db.Integer,
db.ForeignKey('dbApp_cladecollection.id'),
primary_key=True),
info={'bind_key': 'symportal_database'})
Study__DataSetSample = db.Table('dbApp_study_data_set_samples',
db.Column('id', db.Integer, primary_key=True),
db.Column(
'datasetsample_id',
db.Integer,
db.ForeignKey('dbApp_datasetsample.id'),
