def rnd_numbers(self):
if self.distr.upper() == 'T':
rd = generate_rnd_numbers_triangular\
(
self.min, self.mp, self.max, n_repetitions
)
return rd
elif self.distr.upper() == 'U':
rd = generate_rnd_numbers_uniform \
(
self.min, self.max, n_repetitions
)
return rd
elif self.distr.upper() == 'F':
# fixed value is actually a triangular distribution with a very low variation
rd = generate_rnd_numbers_triangular \
(
self.mp * .9999999999, self.mp, self.mp * 1.000000001, n_repetitions
)
return rd
else:
exit_app('error')
def user_selection(self):
# split DF according the genetic line user selection
try:
selected_df = self.df[self.df['genetic_ident'] == self.user_input]
except Exception():
exit_app('Error creating selected DF - Aborted process')
else:
return selected_df
rnd_other_earn_per_bird = other_earn.rnd_numbers()
# print(rnd_feed_cost_gr_of_feed)
# print(rnd_feed_cost_gr_of_feed)
# print(rnd_vet_cost_per_bird)
# print(rnd_other_cost_per_bird)
# print(rnd_brown_egg_price_per_kg)
# print(rnd_pullet_cost)
# print(rnd_other_earn_per_bird)
# print(rnd_additive_cost_gr_of_feed)
# read CSV file
try:
layer_df = pd.read_csv(csv_file_name) # main df
except FileNotFoundError:
exit_app(error_msn['file_not_found'])
except Exception():
exit_app(error_msn['open_file_error'])
else:
print(f'CSV file {csv_file_name} was open\n')
# select the layer genetics from the DF
genetic_options = layer_df['genetic_ident'].unique()
print('\n' + other_msn['user_genetic_options_msn'])
for i in range(len(genetic_options)):
print(f'Option [{i}] = {genetic_options[i]}')
# user input about layer breed (genetics)
genetic_user_selection = int(input(' ? (type 10 to exit)'))
if genetic_user_selection == 10:
def user_type_error():
test_feed = VerifyUserInput\
(
cost_setup["feed_cost_ton_mim"],
cost_setup["feed_cost_ton_mp"],
cost_setup["feed_cost_ton_max"],
)
if not bool(test_feed.var_input_check()):
exit_app(error_msn['input_err_feed_cost'])
test_pullet = VerifyUserInput \
(
cost_setup["pullet_cost_mim"],
cost_setup["pullet_cost_mp"],
cost_setup["pullet_cost_max"],
)
if not bool(test_pullet.var_input_check()):
exit_app(error_msn['input_err_pullet_cost'])
test_additive = VerifyUserInput \
(
cost_setup["additive_cost_ton_mim"],
cost_setup["additive_cost_ton_mp"],
cost_setup["additive_cost_ton_max"],
)
if not bool(test_additive.var_input_check()):
exit_app(error_msn['input_err_additive_cost'])
test_vet = VerifyUserInput \
(
cost_setup["vet_cost_month_mim"],
cost_setup["vet_cost_month_mp"],
cost_setup["vet_cost_month_max"],
)
if not bool(test_vet.var_input_check()):
exit_app(error_msn['input_err_vet_cost'])
test_white_egg = VerifyUserInput \
(
egg_market['white_std_egg_price_min'],
egg_market['white_std_egg_price_mp'],
egg_market['white_std_egg_price_max'],
)
if not bool(test_white_egg.var_input_check()):
exit_app(error_msn['input_err_white_egg_price'])
test_brown_egg = VerifyUserInput \
(
egg_market['brown_std_egg_price_min'],
egg_market['brown_std_egg_price_mp'],
egg_market['brown_std_egg_price_max'],
)
if not bool(test_brown_egg.var_input_check()):
exit_app(error_msn['input_err_brown_egg_price'])
other_earn = VerifyUserInput \
(
egg_market['other_earning_month_min'],
egg_market['other_earning_month_mp'],
egg_market['other_earning_month_max'],
)
if not bool(test_brown_egg.var_input_check()):
exit_app(error_msn['input_err_other_earning'])
begg[0] = (egg_market['brown_std_egg_price_min'] \
/ egg_market['sale_unit']) / egg_kg
begg[1] = egg_market['brown_std_egg_price_mp'] \
/ egg_market['sale_unit'] / egg_kg
\
begg[2] = egg_market['brown_std_egg_price_max'] \
/ egg_market['sale_unit'] / egg_kg
begg[3] = egg_market['brown_std_egg_price_distr']
return begg
elif self.parameter.lower() == 'other_earn':
other_earn = [None] * 4
other_earn[0] = egg_market["other_earning_month_min"] \
/ app_setup_parameters['weeks_per_month'] \
/ farm_setup['number_of_layers']
other_earn[1] = egg_market["other_earning_month_mp"] \
/ app_setup_parameters['weeks_per_month'] \
/ farm_setup['number_of_layers']
other_earn[2] = egg_market["other_earning_month_max"] \
/ app_setup_parameters['weeks_per_month'] \
/ farm_setup['number_of_layers']
other_earn[3] = egg_market["other_earning_month_distr"]
return other_earn
else:
exit_app('Error on convertion')