def test_two_cnts_one_grp(self):
# add two counts in different containers and make sure group record proper count
cnt_val = randint(0, 100)
utils.enter_cnt(self.cleaned_data, cnt_val, self.contx.pk, cnt_code="Fish in Container")
contx = utils.enter_contx(self.final_tank, self.cleaned_data, True, grp_pk=self.grp.pk, return_contx=True)
utils.enter_cnt(self.cleaned_data, cnt_val, contx.pk, cnt_code="Fish in Container")
self.assertEqual(self.grp.count_fish_in_group(), 2 * cnt_val)
def test_program_grp_cnt(self):
# take two types of eggs from group in same event.
init_cnt = randint(300, 500)
cnt_one_val = randint(0, 100)
cnt_two_val = randint(0, 100)
utils.enter_cnt(self.cleaned_data, init_cnt, self.contx.pk, cnt_code="Eggs Added")
cnt = utils.enter_cnt(self.cleaned_data, 0, self.contx.pk, cnt_code="Eggs Removed")[0]
utils.enter_cnt_det(self.cleaned_data, cnt, cnt_one_val, "Program Group Split", "EQU")
utils.enter_cnt_det(self.cleaned_data, cnt, cnt_two_val, "Program Group Split", "PEQU")
self.assertEqual(self.grp.count_fish_in_group(), init_cnt - cnt_one_val - cnt_two_val)
def test_two_cnts_one_grp(self):
# add two counts in different containers and make sure group record proper count
cnt_val = randint(0, 100)
utils.enter_cnt(self.cleaned_data, cnt_val, self.contx.pk, cnt_code="Fish in Container")
# sometimes factories will reuse an event/tank which will prevent new contx's and cnt's from being entered.
# this loop ensures that new data does get added
data_entered = False
while not data_entered:
contx, data_entered = utils.enter_contx(self.final_tank, self.cleaned_data, True, grp_pk=self.grp.pk,
return_contx=True)
utils.enter_cnt(self.cleaned_data, cnt_val, contx.pk, cnt_code="Fish in Container")
self.assertEqual(self.grp.count_fish_in_group(), 2 * cnt_val)
def data_cleaner(self):
from_tanks = self.data[self.from_tank_key].value_counts()
for tank_name in from_tanks.keys():
fish_tagged_from_tank = int(from_tanks[tank_name])
contx, data_entered = utils.enter_tank_contx(tank_name,
self.cleaned_data,
None,
grp_pk=self.grp_id.pk,
return_contx=True)
if contx:
utils.enter_cnt(self.cleaned_data,
fish_tagged_from_tank,
contx.pk,
cnt_code="Pit Tagged")
def test_aboslute_cnt(self):
# take eggs from a group and then record absolute count the following day.
init_cnt = randint(300, 500)
cnt_one_val = randint(5, 100)
cnt_final_val = randint(0, 5)
next_day_evnt = BioFactoryFloor.EvntFactory()
next_day_evnt.facic_id = self.evnt.facic_id
next_day_evnt.start_datetime = self.evnt.start_datetime + datetime.timedelta(days=1)
next_day_evnt.save()
new_cleaned_data = self.cleaned_data.copy()
new_cleaned_data["evnt_id"] = next_day_evnt
end_contx = utils.enter_contx(self.tank, new_cleaned_data, None, grp_pk=self.grp.pk, return_contx=True)
utils.enter_cnt(self.cleaned_data, init_cnt, self.contx.pk, cnt_code="Eggs Added")
cnt = utils.enter_cnt(self.cleaned_data, 0, self.contx.pk, cnt_code="Eggs Removed")
utils.enter_cnt_det(self.cleaned_data, cnt, cnt_one_val, "Program Group", "EQU")
utils.enter_cnt(new_cleaned_data, cnt_final_val, end_contx.pk, cnt_code="Egg Count")
self.assertEqual(self.grp.count_fish_in_group(), cnt_final_val)
def clean(self):
cleaned_data = super().clean()
cleaned_data["move_date"] = utils.naive_to_aware(
cleaned_data["move_date"])
cleaned_data["facic_id"] = cleaned_data["evnt_id"].facic_id
if cleaned_data["grp_id"] and not cleaned_data["new_grp_id"]:
grp_id = cleaned_data["grp_id"]
elif not cleaned_data["grp_id"] and cleaned_data["new_grp_id"]:
grp_id = cleaned_data["new_grp_id"]
if cleaned_data["grp_id"] and cleaned_data["new_grp_id"]:
self.add_error('grp_id',
gettext("Can only add to one group at a time"))
self.add_error('new_grp_id',
gettext("Can only add to one group at a time"))
if not self.is_valid():
return cleaned_data
# fish into tank contx
contx, entered = utils.enter_contx(self.cont,
cleaned_data,
True,
grp_pk=grp_id.pk,
return_contx=True)
#fish to event
utils.enter_anix(cleaned_data, grp_pk=grp_id.pk)
# perc contx:
if cleaned_data["perc_id"]:
team_id, entered = utils.add_team_member(cleaned_data["perc_id"],
cleaned_data["evnt_id"],
return_team=True)
utils.enter_anix(cleaned_data,
grp_pk=grp_id.pk,
team_pk=team_id.pk)
# cnt:
utils.enter_cnt(cleaned_data,
cleaned_data["num_fish"],
contx_pk=contx.pk)
def clean_data(self):
if self.success:
contx_df = DataFrame(self.data_dict)
cnt_df = contx_df.groupby("start_contx_pk", as_index=False).sum()
for row in cnt_df.to_dict('records'):
if utils.nan_to_none(row["start_contx_pk"]):
cnt, cnt_entered = utils.enter_cnt(
self.cleaned_data,
0,
int(row["start_contx_pk"]),
cnt_code="Fish Removed from Container")
cnt.cnt = row[self.nfish_key]
cnt.save()
super(GenericGrpParser, self).clean_data()
def row_parser(self, row):
# need to: find the pair's group, link it to it's pairing, create a tray, and add the count.
cleaned_data = self.cleaned_data
row_date = utils.get_row_date(row)
pair_list = utils.get_pair(row[self.cross_key],
row["stok_id"],
row[self.year_key],
prog_grp=utils.nan_to_none(
row.get(self.prog_key)),
fail_on_not_found=True)
if len(pair_list) == 1:
pair_id = pair_list[0]
else:
raise Exception("Too many pairs found for row \n{}".format(row))
anix_id = models.AniDetailXref.objects.filter(
pair_id=pair_id,
grp_id__isnull=False).select_related('grp_id').first()
grp_id = anix_id.grp_id
self.row_entered += utils.enter_anix(cleaned_data,
grp_pk=grp_id.pk,
return_sucess=True)
tray_id = utils.create_tray(row["trof_id"], row[self.tray_key],
row_date, cleaned_data)
contx, contx_entered = utils.enter_contx(tray_id,
cleaned_data,
True,
grp_pk=grp_id.pk,
return_contx=True)
self.row_entered += contx_entered
if utils.nan_to_none(row.get(self.fecu_key)):
cnt, cnt_entered = utils.enter_cnt(cleaned_data,
row[self.fecu_key],
contx_pk=contx.pk,
cnt_code="Photo Count")
self.row_entered += cnt_entered
self.row_entered += utils.enter_bulk_grpd(anix_id.pk,
cleaned_data,
row_date,
comments=row.get(
self.comment_key))
def row_parser(self, row):
cleaned_data = self.cleaned_data
# get tray, group, and row date
row_date = utils.get_row_date(row)
tray_qs = models.Tray.objects.filter(trof_id=row["trof_id"],
name=row[self.tray_key])
tray_id = tray_qs.filter(
Q(start_date__lte=row_date, end_date__gte=row_date)
| Q(end_date__isnull=True)).get()
pair_id = models.Pairing.objects.filter(
cross=row[self.cross_key],
end_date__isnull=True,
indv_id__stok_id=row["stok_id"],
start_date__year=row[self.year_key]).first()
grp_id = utils.get_tray_group(pair_id, tray_id, row_date)
# want to shift the hu move event, so that the counting math always works out.
hu_move_date = row_date + timedelta(minutes=1)
hu_cleaned_data = utils.create_new_evnt(cleaned_data, "Allocation",
hu_move_date)
hu_anix, data_entered = utils.enter_anix(hu_cleaned_data,
grp_pk=grp_id.pk)
self.row_entered += data_entered
hu_contx, data_entered = utils.enter_contx(tray_id,
hu_cleaned_data,
None,
grp_pk=grp_id.pk,
return_contx=True)
self.row_entered += data_entered
# record development
dev_at_hu_transfer = grp_id.get_development(hu_move_date)
utils.enter_grpd(hu_anix.pk,
hu_cleaned_data,
hu_move_date,
dev_at_hu_transfer,
None,
anidc_str="Development")
self.row_entered += utils.enter_contx(row["trof_id"], cleaned_data)
# HU Picks:
self.row_entered += utils.enter_cnt(cleaned_data,
row[self.loss_key],
hu_contx.pk,
cnt_code="HU Transfer Loss")[1]
# generate new group, cup, and movement event:
cont = None
if utils.nan_to_none(row[self.end_tray_key]):
trof_id = models.Trough.objects.filter(
facic_id=cleaned_data["facic_id"],
name=row[self.end_trof_key]).get()
tray_qs = models.Tray.objects.filter(trof_id=trof_id,
name=row[self.tray_key])
cont = tray_qs.filter(
Q(start_date__lte=row_date, end_date__gte=row_date)
| Q(end_date__isnull=True)).get()
elif utils.nan_to_none(row[self.end_trof_key]):
cont = models.Trough.objects.filter(
facic_id=cleaned_data["facic_id"],
name=row[self.end_trof_key]).get()
elif utils.nan_to_none(row[self.heatl_key]):
cont = utils.get_cont_from_dot(row[self.cont_key], cleaned_data,
row_date)
elif utils.nan_to_none(row[self.tank_key]):
cont = models.Tank.objects.filter(
facic_id=cleaned_data["facic_id"], name=row[self.tank_key])
self.row_entered += utils.enter_contx(cont, cleaned_data)
if not utils.y_n_to_bool(row[self.final_key]):
# NEW GROUPS TAKEN FROM INITIAL
out_cnt = utils.enter_cnt(cleaned_data,
0,
hu_contx.pk,
cnt_code="Eggs Removed")[0]
utils.enter_cnt_det(cleaned_data, out_cnt, row[self.cnt_key],
"Program Group Split", row[self.prog_key])
indv, final_grp = cont.fish_in_cont(row_date)
if not final_grp:
final_grp = models.Group(
spec_id=grp_id.spec_id,
coll_id=grp_id.coll_id,
grp_year=grp_id.grp_year,
stok_id=grp_id.stok_id,
grp_valid=True,
created_by=cleaned_data["created_by"],
created_date=cleaned_data["created_date"],
)
try:
final_grp.clean()
final_grp.save()
except (ValidationError, IntegrityError):
return None
else:
# MAIN GROUP GETTING MOVED
final_grp = final_grp[0]
final_grp_anix = utils.enter_anix(cleaned_data,
grp_pk=final_grp.pk,
return_anix=True)
self.row_entered += utils.enter_anix(hu_cleaned_data,
grp_pk=final_grp.pk,
return_sucess=True)
self.row_entered += utils.enter_bulk_grpd(
final_grp_anix,
cleaned_data,
row_date,
prnt_grp=grp_id,
prog_grp=row.get(self.prog_key),
comments=row.get(self.comment_key))
self.row_entered += utils.enter_grpd(final_grp_anix.pk,
cleaned_data,
row_date,
dev_at_hu_transfer,
None,
anidc_str="Development")
# create movement for the new group, create 2 contx's and 3 anix's
# cup contx is contx used to link the positive counts
cont_contx = utils.create_egg_movement_evnt(tray_id,
cont,
cleaned_data,
row_date,
final_grp.pk,
return_cup_contx=True)
move_cleaned_data = cleaned_data.copy()
move_cleaned_data["evnt_id"] = cont_contx.evnt_id
cnt_contx = cont_contx
cnt_contx.pk = None
cnt_contx.tray_id = tray_id
try:
cnt_contx.save()
except IntegrityError:
cnt_contx = models.ContainerXRef.objects.filter(
pk=cont_contx.pk).get()
self.row_entered += utils.enter_anix(move_cleaned_data,
grp_pk=final_grp.pk,
contx_pk=cnt_contx.pk,
return_sucess=True)
# add the positive counts
cnt = utils.enter_cnt(
move_cleaned_data,
row[self.cnt_key],
cnt_contx.pk,
cnt_code="Eggs Added",
)[0]
if utils.nan_to_none(self.weight_key):
utils.enter_cnt_det(move_cleaned_data, cnt,
row[self.weight_key], "Weight")
utils.enter_cnt_det(move_cleaned_data, cnt, row[self.cnt_key],
"Program Group Split", row[self.prog_key])
else:
# Move main group to drawer, and add end date to tray:
if cont:
end_contx = utils.create_movement_evnt(tray_id,
cont,
cleaned_data,
row_date,
grp_pk=grp_id.pk,
return_end_contx=True)
tray_id.end_date = row_date
tray_id.save()
end_cnt = utils.enter_cnt(cleaned_data,
row[self.cnt_key],
end_contx.pk,
cnt_code="Egg Count")[0]
utils.enter_cnt_det(cleaned_data, end_cnt,
row[self.weight_key], "Weight")
else:
self.log_data += "\n Draw {} from {} not found".format(
cont, row[self.cont_key])
# link cup to egg development event
utils.enter_contx(cont, cleaned_data, None)
def test_simple_cnt(self):
# test groups record a single count correctly
cnt_val = randint(0, 100)
utils.enter_cnt(self.cleaned_data, cnt_val, self.contx.pk, cnt_code="Fish in Container")
self.assertEqual(self.grp.count_fish_in_group(), cnt_val)
def data_cleaner(self):
for loc_pk, cnt_caught in self.loc_caught_dict.items():
utils.enter_cnt(self.cleaned_data, cnt_caught, loc_pk=loc_pk, cnt_code="Fish Caught")
for loc_pk, cnt_obs in self.loc_obs_dict.items():
utils.enter_cnt(self.cleaned_data, cnt_obs, loc_pk=loc_pk, cnt_code="Fish Observed")
def row_parser(self, row):
cleaned_data = self.cleaned_data
row_datetime = utils.get_row_date(row)
relc_id = None
rive_id = self.river_dict[row[self.rive_key]]
if not utils.nan_to_none(row.get(self.tank_key)) and utils.nan_to_none(row.get(self.fish_caught_key)):
# make sure if fish are caught they are assigned a tank:
raise Exception("All caught fish must be assigned a tank")
if utils.nan_to_none(row.get(self.site_key)):
relc_qs = models.ReleaseSiteCode.objects.filter(name__iexact=row[self.site_key])
if len(relc_qs) == 1:
relc_id = relc_qs.get()
start_lat = utils.round_no_nan(row.get(self.lat_key), 6)
start_lon = utils.round_no_nan(row.get(self.lon_key), 6)
if not relc_id and not (start_lat and start_lon):
raise Exception("Site code not found and lat-long not given for site on row")
loc = models.Location(evnt_id_id=cleaned_data["evnt_id"].pk,
locc_id=self.locc_id,
rive_id=rive_id,
relc_id=relc_id,
loc_lat=start_lat,
loc_lon=start_lon,
end_lat=utils.round_no_nan(row.get(self.end_lat), 6),
end_lon=utils.round_no_nan(row.get(self.end_lon), 6),
loc_date=row_datetime,
comments=utils.nan_to_none(row.get(self.comment_key)),
created_by=cleaned_data["created_by"],
created_date=cleaned_data["created_date"],
)
try:
loc.clean()
loc.save()
self.row_entered = True
except ValidationError:
loc = models.Location.objects.filter(evnt_id=loc.evnt_id, locc_id=loc.locc_id,
rive_id=loc.rive_id, subr_id=loc.subr_id,
relc_id=loc.relc_id, loc_lat=loc.loc_lat,
loc_lon=loc.loc_lon, loc_date=loc.loc_date).get()
self.loc = loc
if row["grp_id"]:
self.row_entered += utils.enter_anix(cleaned_data, loc_pk=loc.pk, grp_pk=row["grp_id"].pk,
return_sucess=True)
if self.loc.loc_lon and self.loc.loc_lat and not self.loc.relc_id:
self.log_data += "\nNo site found in db for Lat-Long ({}, {}) given on row: \n{}\n\n"\
.format(self.loc.loc_lat, self.loc.loc_lon, row)
if utils.nan_to_none(row["contx_id"]):
self.row_entered += utils.enter_anix(cleaned_data, loc_pk=loc.pk, contx_pk=row["contx_id"].pk,
return_sucess=True)
self.team_parser(row[self.crew_key], row, loc_id=loc)
if utils.nan_to_none(row.get(self.temp_key)):
self.row_entered += utils.enter_env(row[self.temp_key], row_datetime, cleaned_data, self.temp_envc_id,
loc_id=loc)
cnt_caught, cnt_entered = utils.enter_cnt(cleaned_data, cnt_value=row[self.fish_caught_key], loc_pk=loc.pk,
cnt_code="Fish Caught")
self.row_entered += cnt_entered
cnt_obs, cnt_entered = utils.enter_cnt(cleaned_data, cnt_value=row[self.fish_obs_key], loc_pk=loc.pk,
cnt_code="Fish Observed")
self.row_entered += cnt_entered
if utils.nan_to_none(row.get(self.settings_key)):
self.row_entered += utils.enter_locd(loc.pk, cleaned_data, row_datetime, row[self.settings_key],
self.settings_locdc_id.pk)
if utils.nan_to_none(row.get(self.fishing_time_key)):
self.row_entered += utils.enter_locd(loc.pk, cleaned_data, row_datetime, row[self.fishing_time_key],
self.fishing_time_locdc_id.pk)
if utils.nan_to_none(row.get(self.voltage_key)):
self.row_entered += utils.enter_locd(loc.pk, cleaned_data, row_datetime, row[self.voltage_key],
self.voltage_locdc_id.pk)
def row_parser(self, row):
cleaned_data = self.cleaned_data
row_date = row["datetime"].date()
row_start_grp = utils.get_grp(row[self.rive_key],
row["grp_year"],
row["grp_coll"],
row["start_tank_id"],
row_date,
prog_str=row.get(self.prio_key),
mark_str=row.get(self.grp_mark_key),
fail_on_not_found=True)[0]
start_anix, self.row_entered = utils.enter_anix(
cleaned_data, grp_pk=row_start_grp.pk)
start_contx, contx_entered = utils.enter_contx(row["start_tank_id"],
cleaned_data,
None,
return_contx=True)
self.row_entered += contx_entered
whole_grp = utils.y_n_to_bool(row[self.abs_key])
det_anix = start_anix
row["start_contx_pk"] = None
if not whole_grp:
row["start_contx_pk"] = start_contx.pk
if utils.nan_to_none(row["end_tank_id"]):
# 4 possible cases here: group in tank or not and whole group move or not:
row_end_grp_list = utils.get_grp(row[self.rive_key],
row["grp_year"],
row["grp_coll"],
row["end_tank_id"],
row_date,
prog_str=row[self.prio_key],
mark_str=row[self.grp_mark_key])
row_end_grp = None
if not whole_grp and not row_end_grp_list:
# splitting fish group, create end group:
row_end_grp = copy.deepcopy(row_start_grp)
row_end_grp.pk = None
row_end_grp.id = None
row_end_grp.save()
end_grp_anix, anix_entered = utils.enter_anix(
cleaned_data, grp_pk=row_end_grp.pk)
self.row_entered = anix_entered
self.row_entered += utils.enter_bulk_grpd(
end_grp_anix.pk,
cleaned_data,
row_date,
prog_grp=row.get(self.prio_key),
mark=row.get(self.mark_key))
elif not whole_grp:
# splitting fish group, merging to exsisting end group
row_end_grp = row_end_grp_list[0]
if row_end_grp:
move_contx = utils.create_movement_evnt(row["start_tank_id"],
row["end_tank_id"],
cleaned_data,
row_date,
grp_pk=row_end_grp.pk,
return_end_contx=True)
end_grp_anix, anix_entered = utils.enter_anix(
cleaned_data, grp_pk=row_end_grp.pk)
self.row_entered += anix_entered
self.row_entered += utils.enter_grpd(end_grp_anix.pk,
cleaned_data,
row_date,
None,
self.prnt_grp_anidc_id.pk,
frm_grp_id=row_start_grp)
cnt, cnt_entered = utils.enter_cnt(cleaned_data,
row[self.nfish_key],
move_contx.pk)
self.row_entered = cnt_entered
# record details on end tank group
det_anix = end_grp_anix
else:
# move all the fish (whole group, merge to fish at destination if needed)
move_contx = utils.create_movement_evnt(
row["start_tank_id"],
row["end_tank_id"],
cleaned_data,
row_date,
grp_pk=row_start_grp.pk,
return_end_contx=True)
cnt, cnt_entered = utils.enter_cnt(cleaned_data,
row[self.nfish_key],
move_contx.pk,
cnt_code="Fish Count")
self.row_entered = cnt_entered
else:
if utils.nan_to_none(row[self.nfish_key]):
cnt, cnt_entered = utils.enter_cnt(cleaned_data,
row[self.nfish_key],
start_contx.pk,
cnt_code="Fish Count")
self.row_entered = cnt_entered
# add details to det_anix:
self.row_entered += utils.enter_bulk_grpd(
det_anix.pk,
cleaned_data,
row_date,
vaccinated=row.get(self.vax_key),
mark=row.get(self.mark_key),
lifestage=row.get(self.lifestage_key),
comments=row.get(self.comment_key))
self.row_entered += utils.parse_extra_cols(row,
self.cleaned_data,
det_anix,
grp=True)
def data_preper(self):
cleaned_data = self.cleaned_data
self.sampc_id = models.SampleCode.objects.filter(
name="Individual Sample").get()
self.prnt_grp_anidc_id = models.AnimalDetCode.objects.filter(
name="Parent Group").get()
self.prog_grp_anidc_id = models.AnimalDetCode.objects.filter(
name="Program Group").get()
self.sex_anidc_id = models.AnimalDetCode.objects.filter(
name="Gender").get()
self.len_anidc_id = models.AnimalDetCode.objects.filter(
name="Length").get()
self.weight_anidc_id = models.AnimalDetCode.objects.filter(
name="Weight").get()
self.vial_anidc_id = models.AnimalDetCode.objects.filter(
name="Vial").get()
self.envelope_anidc_id = models.AnimalDetCode.objects.filter(
name="Scale Envelope").get()
self.ani_health_anidc_id = models.AnimalDetCode.objects.filter(
name="Animal Health").get()
self.anidc_ufid_id = models.AnimalDetCode.objects.filter(
name="UFID").get()
self.vax_anidc_id = models.AnimalDetCode.objects.filter(
name="Vaccination").get()
self.mark_anidc_id = models.AnimalDetCode.objects.filter(
name="Mark").get()
self.lifestage_anidc_id = models.AnimalDetCode.objects.filter(
name="Lifestage").get()
self.comment_anidc_id = models.AnimalDetCode.objects.filter(
name="Comment").get()
# The following steps are to set additional columns on each row to facilitate parsing.
# In particular, columns set will be: "datetime", "grp_year", "grp_coll", "start_tank_id",
# "end_tank_id", "grp_key", "end_grp_key".
# The two grp_keys will link to dictionaries of the groups, which are also set below
# set date
self.data = utils.set_row_datetime(self.data)
# split year-coll
self.data["grp_year"] = self.data.apply(
lambda row: utils.year_coll_splitter(row[self.yr_coll_key])[0],
axis=1)
self.data["grp_coll"] = self.data.apply(
lambda row: utils.year_coll_splitter(row[self.yr_coll_key])[1],
axis=1)
# set start and end tank columns:
self.data = utils.set_row_tank(self.data,
cleaned_data,
self.start_tank_key,
col_name="start_tank_id")
self.data = utils.set_row_tank(self.data,
cleaned_data,
self.end_tank_key,
col_name="end_tank_id")
# set the dict keys for groups, use astype(str) to handle anything that might be a nan.
self.data, self.start_grp_dict = utils.set_row_grp(
self.data,
self.rive_key,
self.yr_coll_key,
self.prio_key,
"start_tank_id",
"datetime",
self.grp_mark_key,
grp_col_name="start_grp_id",
return_dict=True)
for item, grp in self.start_grp_dict.items():
utils.enter_anix(cleaned_data, grp_pk=grp.pk)
self.data["end_grp_key"] = self.data[self.rive_key] + self.data[self.yr_coll_key] + \
self.data[self.end_tank_key].astype(str) + self.data[self.prio_key].astype(str) + \
self.data["datetime"].astype(str) + self.data[self.grp_mark_key].astype(str)
# create the end group dict and create, movement event, groups, counts, contxs, etc. necesarry
end_grp_data = self.data.groupby([
self.rive_key, "grp_year", "grp_coll", "end_tank_id",
"start_tank_id", self.prio_key, "datetime", self.grp_mark_key,
"grp_key", "end_grp_key"
],
dropna=False,
sort=False).size().reset_index()
for row in end_grp_data.to_dict('records'):
# check if end tank is set, otherwise, skip this step
if not utils.nan_to_none(row["end_tank_id"]):
self.end_grp_dict[row["end_grp_key"]] = None
continue
grps = utils.get_grp(row[self.rive_key],
row["grp_year"],
row["grp_coll"],
row["end_tank_id"],
at_date=row["datetime"],
prog_str=row[self.prio_key],
mark_str=row[self.grp_mark_key])
start_grp_id = self.start_grp_dict[row["grp_key"]]
start_contx, contx_entered = utils.enter_contx(
row["start_tank_id"],
cleaned_data,
None,
grp_pk=start_grp_id.pk,
return_contx=True)
self.row_entered += utils.enter_cnt(
cleaned_data,
sum(end_grp_data[end_grp_data["grp_key"] == row["grp_key"]]
[0]),
start_contx.pk,
cnt_code="Fish Removed from Container")[1]
if len(grps) > 0:
end_grp_id = grps[0]
self.end_grp_dict[row["end_grp_key"]] = grps[0]
else:
end_grp_id = copy.deepcopy(start_grp_id)
end_grp_id.pk = None
end_grp_id.save()
self.end_grp_dict[row["end_grp_key"]] = end_grp_id
if end_grp_id.pk != start_grp_id.pk:
grp_anix = utils.enter_anix(cleaned_data,
grp_pk=end_grp_id.pk,
return_anix=True)
utils.enter_grpd(grp_anix.pk,
cleaned_data,
row["datetime"],
None,
self.prnt_grp_anidc_id.pk,
frm_grp_id=start_grp_id)
if utils.nan_to_none(row[self.prio_key]):
utils.enter_grpd(grp_anix.pk, cleaned_data,
row["datetime"], row[self.prio_key],
self.prog_grp_anidc_id.pk,
row[self.prio_key])
if utils.nan_to_none(row[self.grp_mark_key]):
utils.enter_grpd(grp_anix.pk, cleaned_data,
row["datetime"], row[self.grp_mark_key],
self.mark_anidc_id.pk,
row[self.grp_mark_key])
end_contx = utils.create_movement_evnt(row["start_tank_id"],
row["end_tank_id"],
cleaned_data,
row["datetime"],
grp_pk=end_grp_id.pk,
return_end_contx=True)
if end_contx:
self.row_entered += utils.enter_cnt(
cleaned_data, row[0], end_contx.pk)[1]
self.data_dict = self.data.to_dict("records")