lane_7_library = models.ForeignKey(Library, related_name="lane_7_library")
lane_8_library = models.ForeignKey(Library, related_name="lane_8_library")
- lane_1_pM = models.IntegerField(default=4)
- lane_2_pM = models.IntegerField(default=4)
- lane_3_pM = models.IntegerField(default=4)
- lane_4_pM = models.IntegerField(default=4)
- lane_5_pM = models.IntegerField(default=4)
- lane_6_pM = models.IntegerField(default=4)
- lane_7_pM = models.IntegerField(default=4)
- lane_8_pM = models.IntegerField(default=4)
-
- lane_1_cluster_estimate = models.IntegerField(blank=True, null=True)
- lane_2_cluster_estimate = models.IntegerField(blank=True, null=True)
- lane_3_cluster_estimate = models.IntegerField(blank=True, null=True)
- lane_4_cluster_estimate = models.IntegerField(blank=True, null=True)
- lane_5_cluster_estimate = models.IntegerField(blank=True, null=True)
- lane_6_cluster_estimate = models.IntegerField(blank=True, null=True)
- lane_7_cluster_estimate = models.IntegerField(blank=True, null=True)
- lane_8_cluster_estimate = models.IntegerField(blank=True, null=True)
+ lane_1_pM = models.DecimalField(max_digits=5, decimal_places=2, default=4)
+ lane_2_pM = models.DecimalField(max_digits=5, decimal_places=2, default=4)
+ lane_3_pM = models.DecimalField(max_digits=5, decimal_places=2, default=4)
+ lane_4_pM = models.DecimalField(max_digits=5, decimal_places=2, default=4)
+ lane_5_pM = models.DecimalField(max_digits=5, decimal_places=2, default=4)
+ lane_6_pM = models.DecimalField(max_digits=5, decimal_places=2, default=4)
+ lane_7_pM = models.DecimalField(max_digits=5, decimal_places=2, default=4)
+ lane_8_pM = models.DecimalField(max_digits=5, decimal_places=2, default=4)
+
+ lane_1_cluster_estimate = models.CharField(max_length=25, blank=True, null=True)
+ lane_2_cluster_estimate = models.CharField(max_length=25, blank=True, null=True)
+ lane_3_cluster_estimate = models.CharField(max_length=25, blank=True, null=True)
+ lane_4_cluster_estimate = models.CharField(max_length=25, blank=True, null=True)
+ lane_5_cluster_estimate = models.CharField(max_length=25, blank=True, null=True)
+ lane_6_cluster_estimate = models.CharField(max_length=25, blank=True, null=True)
+ lane_7_cluster_estimate = models.CharField(max_length=25, blank=True, null=True)
+ lane_8_cluster_estimate = models.CharField(max_length=25, blank=True, null=True)
+
+ kit_1000148 = models.IntegerField(blank=True, null=True)
+ kit_1000147 = models.IntegerField(blank=True, null=True)
+ kit_1000183 = models.IntegerField(blank=True, null=True)
+ kit_1001625 = models.IntegerField(blank=True, null=True)
+
+ cluster_station_id = models.CharField(max_length=50, blank=True, null=True)
+ sequencer_id = models.CharField(max_length=50, blank=True, null=True)
notes = models.TextField(blank=True)
return '%s (%s)' % (self.flowcell_id, self.run_date)
class Meta:
- ordering = ["run_date"]
+ ordering = ["-run_date"]
class Admin:
date_hierarchy = "run_date"
+ save_as = True
save_on_top = True
- 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']
- 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')
+ search_fields = ['flowcell_id', 'lane_1_library__library_id', 'lane_1_library__library_name', 'lane_2_library__library_id', 'lane_2_library__library_name', 'lane_3_library__library_id', 'lane_3_library__library_name', 'lane_4_library__library_id', 'lane_4_library__library_name', 'lane_5_library__library_id', 'lane_5_library__library_name', 'lane_6_library__library_id', 'lane_6_library__library_name', 'lane_7_library__library_id', 'lane_7_library__library_name', 'lane_8_library__library_id', 'lane_8_library__library_name']
+ list_display = ('run_date', 'flowcell_id', 'lane_1_library', 'lane_2_library', 'lane_3_library', 'lane_4_library', 'lane_5_library', 'lane_6_library', 'lane_7_library', 'lane_8_library')
+ list_display_links = ('run_date', 'flowcell_id', 'lane_1_library', 'lane_2_library', 'lane_3_library', 'lane_4_library', 'lane_5_library', 'lane_6_library', 'lane_7_library', 'lane_8_library')
fields = (
(None, {
'fields': ('run_date', 'flowcell_id', ('read_length', 'advanced_run'),)
}),
('Lanes:', {
- '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'),)
+ 'fields' : (('lane_1_library', 'lane_1_pM'), ('lane_2_library', 'lane_2_pM'), ('lane_3_library', 'lane_3_pM'), ('lane_4_library', 'lane_4_pM'), ('lane_5_library', 'lane_5_pM'), ('lane_6_library', 'lane_6_pM'), ('lane_7_library', 'lane_7_pM'), ('lane_8_library', 'lane_8_pM'),)
}),
(None, {
'fields' : ('notes',)
}),
+ ('Kits & Machines:', {
+ 'classes': 'collapse',
+ 'fields' : (('kit_1000148', 'kit_1000147', 'kit_1000183', 'kit_1001625'), ('cluster_station_id', 'sequencer_id'),)
+ }),
)
class ElandResult(models.Model):