Adding models to ta.py

spacetelescope · Apr 18, 2024 · d9a3b41 · d9a3b41
1 parent 5769304
commit d9a3b41
Showing 1 changed file with 109 additions and 10 deletions.
diff --git a/jwql/website/apps/jwql/monitor_models/ta.py b/jwql/website/apps/jwql/monitor_models/ta.py
@@ -24,6 +24,7 @@
     For more information please see:
         ```https://docs.djangoproject.com/en/2.0/topics/db/models/```
 """
+
 # This is an auto-generated Django model module.
 # Feel free to rename the models, but don't rename db_table values or field names.
 from django.contrib.postgres.fields import ArrayField
@@ -55,8 +56,8 @@ class MIRITaQueryHistory(models.Model):
 
     class Meta:
         managed = True
-        db_table = 'miri_ta_query_history'
-        unique_together = (('id', 'entry_date'),)
+        db_table = "miri_ta_query_history"
+        unique_together = (("id", "entry_date"),)
 
 
 class MIRITaStats(models.Model):
@@ -73,8 +74,8 @@ class MIRITaStats(models.Model):
 
     class Meta:
         managed = True
-        db_table = 'miri_ta_stats'
-        unique_together = (('id', 'entry_date'),)
+        db_table = "miri_ta_stats"
+        unique_together = (("id", "entry_date"),)
 
 
 class NIRSpecTaQueryHistory(models.Model):
@@ -89,17 +90,115 @@ class NIRSpecTaQueryHistory(models.Model):
 
     class Meta:
         managed = True
-        db_table = 'nirspec_ta_query_history'
-        unique_together = (('id', 'entry_date'),)
+        db_table = "nirspec_ta_query_history"
+        unique_together = (("id", "entry_date"),)
+
+
+class NIRSpecWataStats(models.Model):
+    filename = models.CharField(max_length=MAX_LEN_FILENAME, blank=True, null=True)
+    date_obs = models.DateTimeField(blank=True, null=True)
+    visit_id = models.CharField(blank=True, null=True)
+    tafilter = models.CharField(blank=True, null=True)
+    readout = models.CharField(blank=True, null=True)
+    ta_status = models.CharField(blank=True, null=True)
+    status_reason = models.FloatField(blank=True, null=True)
+    star_name = models.IntegerField(blank=True, null=True)
+    star_ra = models.FloatField(blank=True, null=True)
+    star_dec = models.FloatField(blank=True, null=True)
+    star_mag = models.FloatField(blank=True, null=True)
+    star_catalog = models.IntegerField(blank=True, null=True)
+    planned_v2 = models.FloatField(blank=True, null=True)
+    planned_v3 = models.FloatField(blank=True, null=True)
+    stamp_start_col = models.IntegerField(blank=True, null=True)
+    stamp_start_row = models.IntegerField(blank=True, null=True)
+    star_detector = models.CharField(blank=True, null=True)
+    max_val_box = models.FloatField(blank=True, null=True)
+    max_val_box_col = models.IntegerField(blank=True, null=True)
+    max_val_box_row = models.IntegerField(blank=True, null=True)
+    iterations = models.IntegerField(blank=True, null=True)
+    corr_col = models.IntegerField(blank=True, null=True)
+    corr_row = models.IntegerField(blank=True, null=True)
+    stamp_final_col = models.FloatField(blank=True, null=True)
+    stamp_final_row = models.FloatField(blank=True, null=True)
+    detector_final_col = models.FloatField(blank=True, null=True)
+    detector_final_row = models.FloatField(blank=True, null=True)
+    final_sci_x = models.FloatField(blank=True, null=True)
+    final_sci_y = models.FloatField(blank=True, null=True)
+    measured_v2 = models.FloatField(blank=True, null=True)
+    measured_v3 = models.FloatField(blank=True, null=True)
+    ref_v2 = models.FloatField(blank=True, null=True)
+    ref_v3 = models.FloatField(blank=True, null=True)
+    v2_offset = models.FloatField(blank=True, null=True)
+    v3_offset = models.FloatField(blank=True, null=True)
+    sam_x = models.FloatField(blank=True, null=True)
+    sam_y = models.FloatField(blank=True, null=True)
+    entry_date = models.DateTimeField(blank=True, null=True)
+
+    class Meta:
+        managed = True
+        db_table = "nirspec_wata_stats"
+        unique_together = (("id", "entry_date"),)
+
+
+class NIRSpecMsataStats(models.Model):
+    filename = models.CharField(max_length=MAX_LEN_FILENAME, blank=True, null=True)
+    date_obs = models.DateTimeField(blank=True, null=True)
+    visit_id = models.CharField(blank=True, null=True)
+    tafilter = models.CharField(blank=True, null=True)
+    detector = models.CharField(blank=True, null=True)
+    readout = models.CharField(blank=True, null=True)
+    subarray = models.CharField(blank=True, null=True)
+    num_refstars = models.IntegerField(blank=True, null=True)
+    ta_status = models.CharField(max_length=MAX_LEN_FILENAME, blank=True, null=True)
+    status_rsn = models.FloatField(blank=True, null=True)
+    v2halffacet = models.FloatField(blank=True, null=True)
+    v3halffacet = models.FloatField(blank=True, null=True)
+    v2msactr = models.FloatField(blank=True, null=True)
+    v3msactr = models.FloatField(blank=True, null=True)
+    lsv2offset = models.FloatField(blank=True, null=True)
+    lsv3offset = models.FloatField(blank=True, null=True)
+    lsoffsetmag = models.FloatField(blank=True, null=True)
+    lsrolloffset = models.FloatField(blank=True, null=True)
+    lsv2sigma = models.FloatField(blank=True, null=True)
+    lsv3sigma = models.FloatField(blank=True, null=True)
+    lsiterations = models.IntegerField(blank=True, null=True)
+    guidestarid = models.IntegerField(blank=True, null=True)
+    guidestarx = models.FloatField(blank=True, null=True)
+    guidestary = models.FloatField(blank=True, null=True)
+    guidestarroll = models.FloatField(blank=True, null=True)
+    samx = models.FloatField(blank=True, null=True)
+    samy = models.FloatField(blank=True, null=True)
+    samroll = models.FloatField(blank=True, null=True)
+    box_peak_value = ArrayField(models.FloatField())
+    reference_star_mag = ArrayField(models.FloatField())
+    convergence_status = ArrayField(models.CharField())
+    reference_star_number = ArrayField(models.IntegerField())
+    lsf_removed_status = ArrayField(models.CharField())
+    lsf_removed_reason = ArrayField(models.CharField())
+    lsf_removed_x = ArrayField(models.FloatField())
+    lsf_removed_y = ArrayField(models.FloatField())
+    planned_v2 = ArrayField(models.FloatField())
+    planned_v3 = ArrayField(models.FloatField())
+    stars_in_fit = models.IntegerField(blank=True, null=True)
+    entry_date = models.DateTimeField(blank=True, null=True)
+
+    class Meta:
+        managed = True
+        db_table = "nirspec_msata_stats"
+        unique_together = (("id", "entry_date"),)
 
 
 class NIRSpecTaStats(models.Model):
     entry_date = models.DateTimeField(blank=True, null=True)
-    uncal_filename = models.CharField(max_length=MAX_LEN_FILENAME, blank=True, null=True)
+    uncal_filename = models.CharField(
+        max_length=MAX_LEN_FILENAME, blank=True, null=True
+    )
     aperture = models.CharField(max_length=MAX_LEN_APERTURE, blank=True, null=True)
     detector = models.CharField(max_length=MAX_LEN_DETECTOR, blank=True, null=True)
     subarray = models.CharField(max_length=MAX_LEN_SUBARRAY, blank=True, null=True)
-    read_pattern = models.CharField(max_length=MAX_LEN_READPATTERN, blank=True, null=True)
+    read_pattern = models.CharField(
+        max_length=MAX_LEN_READPATTERN, blank=True, null=True
+    )
     nints = models.CharField(max_length=MAX_LEN_NINTS, blank=True, null=True)
     ngroups = models.CharField(max_length=MAX_LEN_NGROUPS, blank=True, null=True)
     expstart = models.CharField(max_length=MAX_LEN_TIME, blank=True, null=True)
@@ -130,5 +229,5 @@ class NIRSpecTaStats(models.Model):
 
     class Meta:
         managed = True
-        db_table = 'nirspec_ta_stats'
-        unique_together = (('id', 'entry_date'),)
+        db_table = "nirspec_ta_stats"
+        unique_together = (("id", "entry_date"),)