1 from django.db import models
2 from ga_frontend import settings
4 # Create your models here.
6 class Species(models.Model):
8 scientific_name = models.CharField(max_length=256, unique=True, db_index=True, core=True)
9 common_name = models.CharField(max_length=256, blank=True)
12 return '%s (%s)' % (self.scientific_name, self.common_name)
15 verbose_name_plural = "species"
16 ordering = ["scientific_name"]
21 'fields': (('scientific_name', 'common_name'),)
25 class Library(models.Model):
27 library_id = models.IntegerField(primary_key=True, db_index=True, core=True)
28 library_name = models.CharField(max_length=100, unique=True, core=True)
29 library_species = models.ForeignKey(Species, core=True)
30 RNAseq = models.BooleanField()
32 made_by = models.CharField(max_length=50, blank=True, default="Lorian")
33 creation_date = models.DateField(blank=True, null=True)
34 made_for = models.CharField(max_length=50, blank=True)
36 PROTOCOL_END_POINTS = (
38 ('Sample', 'Raw sample'),
40 ('1A', 'Gel purification'),
42 ('Progress', 'In progress'),
44 stopping_point = models.CharField(max_length=50, choices=PROTOCOL_END_POINTS)
45 amplified_from_sample = models.ForeignKey('self', blank=True, null=True)
47 undiluted_concentration = models.DecimalField(max_digits=5, decimal_places=2, blank=True, null=True)
48 ten_nM_dilution = models.BooleanField()
49 successful_pM = models.IntegerField(blank=True, null=True)
51 notes = models.TextField(blank=True)
54 return '#%s: %s' % (self.library_id, self.library_name)
57 verbose_name_plural = "libraries"
58 ordering = ["-library_id"]
61 date_hierarchy = "creation_date"
64 search_fields = ['library_name']
65 list_display = ('library_id', 'library_name', 'made_for', 'creation_date', 'ten_nM_dilution', 'stopping_point', 'successful_pM')
66 list_display_links = ('library_id', 'library_name')
67 list_filter = ('stopping_point', 'ten_nM_dilution', 'library_species', 'made_for', 'made_by')
70 'fields': (('library_id', 'library_name'), ('library_species', 'RNAseq'),)
72 ('Creation Information:', {
73 'fields' : (('made_for', 'made_by', 'creation_date'), ('stopping_point', 'amplified_from_sample'), ('undiluted_concentration', 'ten_nM_dilution', 'successful_pM'), 'notes',)
77 class FlowCell(models.Model):
79 flowcell_id = models.CharField(max_length=20, unique=True, db_index=True, core=True)
80 run_date = models.DateTimeField(core=True)
81 advanced_run = models.BooleanField(default=False)
82 read_length = models.IntegerField(default=32)
84 lane_1_library = models.ForeignKey(Library, related_name="lane_1_library")
85 lane_2_library = models.ForeignKey(Library, related_name="lane_2_library")
86 lane_3_library = models.ForeignKey(Library, related_name="lane_3_library")
87 lane_4_library = models.ForeignKey(Library, related_name="lane_4_library")
88 lane_5_library = models.ForeignKey(Library, related_name="lane_5_library")
89 lane_6_library = models.ForeignKey(Library, related_name="lane_6_library")
90 lane_7_library = models.ForeignKey(Library, related_name="lane_7_library")
91 lane_8_library = models.ForeignKey(Library, related_name="lane_8_library")
93 lane_1_pM = models.IntegerField(default=4)
94 lane_2_pM = models.IntegerField(default=4)
95 lane_3_pM = models.IntegerField(default=4)
96 lane_4_pM = models.IntegerField(default=4)
97 lane_5_pM = models.IntegerField(default=4)
98 lane_6_pM = models.IntegerField(default=4)
99 lane_7_pM = models.IntegerField(default=4)
100 lane_8_pM = models.IntegerField(default=4)
102 lane_1_cluster_estimate = models.IntegerField(blank=True, null=True)
103 lane_2_cluster_estimate = models.IntegerField(blank=True, null=True)
104 lane_3_cluster_estimate = models.IntegerField(blank=True, null=True)
105 lane_4_cluster_estimate = models.IntegerField(blank=True, null=True)
106 lane_5_cluster_estimate = models.IntegerField(blank=True, null=True)
107 lane_6_cluster_estimate = models.IntegerField(blank=True, null=True)
108 lane_7_cluster_estimate = models.IntegerField(blank=True, null=True)
109 lane_8_cluster_estimate = models.IntegerField(blank=True, null=True)
111 notes = models.TextField(blank=True)
114 return '%s (%s)' % (self.flowcell_id, self.run_date)
117 ordering = ["run_date"]
120 date_hierarchy = "run_date"
122 search_fields = ['lane_1_library', 'lane_2_library', 'lane_3_library', 'lane_4_library', 'lane_5_library', 'lane_6_library', 'lane_7_library', 'lane_8_library']
123 list_display = ('flowcell_id', 'run_date', 'lane_1_library', 'lane_2_library', 'lane_3_library', 'lane_4_library', 'lane_5_library', 'lane_6_library', 'lane_7_library', 'lane_8_library')
126 'fields': ('run_date', 'flowcell_id', ('read_length', 'advanced_run'),)
129 'fields' : (('lane_1_library', 'lane_1_pM', 'lane_1_cluster_estimate'), ('lane_2_library', 'lane_2_pM', 'lane_2_cluster_estimate'), ('lane_3_library', 'lane_3_pM', 'lane_3_cluster_estimate'), ('lane_4_library', 'lane_4_pM', 'lane_4_cluster_estimate'), ('lane_5_library', 'lane_5_pM', 'lane_5_cluster_estimate'), ('lane_6_library', 'lane_6_pM', 'lane_6_cluster_estimate'), ('lane_7_library', 'lane_7_pM', 'lane_7_cluster_estimate'), ('lane_8_library', 'lane_8_pM', 'lane_8_cluster_estimate'),)
132 'fields' : ('notes',)
136 class ElandResult(models.Model):
140 flow_cell = models.ForeignKey(FlowCell)
141 config_file = models.FileField(upload_to=settings.UPLOADTO_CONFIG_FILE)
142 eland_result_pack = models.FileField(upload_to=settings.UPLOADTO_ELAND_RESULT_PACKS)
143 bed_file_pack = models.FileField(upload_to=settings.UPLOADTO_BED_PACKS)
145 notes = models.TextField(blank=True)