Source code for mbrowse.models.models_annotations

# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import os
import datetime
from django.db import models


[docs]class SpectralMatching(models.Model): idi = models.IntegerField() s_peak_meta = models.ForeignKey('SPeakMeta', on_delete=models.CASCADE) score = models.FloatField(null=True) percentage_match = models.FloatField(null=True) match_num = models.FloatField(null=True) library_spectra_meta = models.ForeignKey('LibrarySpectraMeta', on_delete=models.CASCADE, null=True, blank=True) accession = models.CharField(max_length=100, blank=False, null=False) name = models.CharField(max_length=600, blank=False, null=False)
[docs]class MetFragAnnotation(models.Model): idi = models.IntegerField() s_peak_meta = models.ForeignKey('SPeakMeta', on_delete=models.CASCADE) explained_peaks = models.TextField(blank=True, null=True) formula_explained_peaks = models.TextField(blank=True, null=True) maximum_tree_depth = models.IntegerField(blank=True, null=True) fragmentor_score = models.IntegerField(null=True) fragmentor_score_values = models.TextField(null=True) number_peaks_used = models.IntegerField(null=True) score = models.FloatField() compound = models.ForeignKey('Compound', on_delete=models.CASCADE, null=True)
[docs]class ProbmetabAnnotation(models.Model): idi = models.IntegerField() cpeakgroup = models.ForeignKey('CPeakGroup', on_delete=models.CASCADE) compound = models.ForeignKey('Compound', on_delete=models.CASCADE, null=True) prob = models.FloatField(null=False)
[docs]class CSIFingerIDAnnotation(models.Model): idi = models.IntegerField() s_peak_meta = models.ForeignKey('SPeakMeta', on_delete=models.CASCADE) inchikey2d = models.CharField(null=True, blank=True, max_length=100) molecular_formula = models.CharField(null=True, blank=True, max_length=100) rank = models.IntegerField() score = models.FloatField() name = models.TextField(blank=True, null=True) links = models.TextField(blank=True, null=True) smiles = models.TextField(blank=True, null=True) rank_score = models.FloatField(blank=True, null=True) compound = models.ManyToManyField('Compound') csifingeridmeta = models.ForeignKey('CSIFingerIDMeta', on_delete=models.CASCADE)
[docs]class CSIFingerIDMeta(models.Model): datetime_stamp = models.DateTimeField(auto_now_add=True)
[docs]class CAnnotation(models.Model): compound = models.ForeignKey('Compound', on_delete=models.CASCADE, null=True) cpeakgroup = models.ForeignKey('CPeakGroup', on_delete=models.CASCADE) spectral_matching_average_score = models.FloatField(null=True, blank=True) metfrag_average_score = models.FloatField(null=True, blank=True) mzcloud_average_score = models.FloatField(null=True, blank=True) sirius_csifingerid_average_score = models.FloatField(null=True, blank=True) ms1_average_score = models.FloatField(null=True, blank=True) weighted_score = models.FloatField(null=True, blank=True) rank = models.IntegerField(null=True, blank=True) def __str__(self): # __unicode__ on Python 2 return '{} {} {}'.format(self.id, self.compound, self.cpeakgroup)
[docs]class CAnnotationWeight(models.Model): spectral_matching_weight = models.FloatField(default=1) mzcloud_weight = models.FloatField(default=0) sirius_csifingerid_weight = models.FloatField(default=0) ms1_weight = models.FloatField(default=0) metfrag_weight = models.FloatField(default=0) def __str__(self): # __unicode__ on Python 2 return '{} {} {} {} {}'.format(self.spectral_matching_weight, self.mzcloud_weight, self.sirius_csifingerid_weight, self.ms1_weight, self.metfrag_weight)