使用测试用例的 Django 测试错误发现 batch_name
Django Testing using Testcase error finding the batch_name
我正在对 models.py 文件 Django 进行测试
在完成几个 类 的测试用例之后
我卡在了一个点
首先，让我分享models.py文件
class Batch(models.Model):
commodity_id = models.PositiveIntegerField(null=True, blank=True)
commodity_variety_id = models.PositiveIntegerField(null=True, blank=True)
farm_id = models.ForeignKey(Farm, on_delete=models.CASCADE, related_name="batches", null=True, blank=True,
db_column='farm_id')
start_date = models.DateTimeField(null=True, blank=True)
acerage = models.FloatField(verbose_name='Batch Acerage', help_text="In Acres;To change this value go to farms>crop"
, validators=[MaxValueValidator(1000000), MinValueValidator(0.01)])
batch_health = models.IntegerField(validators=[MaxValueValidator(100), MinValueValidator(0)],
help_text="In Percentage", default=100, null=True, blank=True)
stage = models.CharField(max_length=100, choices=config.STAGE_CHOICES, default='germination', null=True, blank=True)
expected_delivery_date = models.DateTimeField(null=True, blank=True)
current_pdd = models.FloatField(null=True, blank=True)
historic_pdd = models.FloatField(null=True, blank=True)
current_gdd = models.FloatField(null=True, blank=True)
historic_gdd = models.FloatField(null=True, blank=True)
sub_farmer_id = models.PositiveIntegerField(null=True, blank=True)
batch_status = models.CharField(max_length=100, choices=config.BATCH_STATUS, default='to_start')
updated_at = models.DateTimeField(auto_now=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_by_id = models.PositiveIntegerField(null=True, blank=True)
created_by_id = models.PositiveIntegerField(null=True, blank=True)
historical_yield_per_acre = models.FloatField(verbose_name="Yield / Acre - Historical", null=True, blank=True)
expected_produce = models.FloatField(default=0, null=True, blank=True)
actual_produce = models.FloatField(default=0, null=True, blank=True)
sop_adherence = models.FloatField(default=0, null=True, blank=True)
actual_yield_per_acre = models.FloatField(default=0, null=True, blank=True)
end_date = models.DateTimeField(null=True, blank=True)
commodity_name = models.CharField(max_length=200, null=True, blank=True)
batch_name = models.CharField(max_length=200, null=True, blank=True)
batch_median_health = models.PositiveIntegerField(null=True, blank=True)
pending_tasks = models.PositiveIntegerField(null=True, blank=True, default=0)
history = HistoricalRecords()
def __str__(self):
return self.batch_name
def save(self, *args, **kwargs):
SOPMaster = apps.get_model('sop_management', 'SOPMaster')
BatchSOPManagement = apps.get_model('sop_management', 'BatchSOPManagement')
batch_sop_list = []
if self.batch_status is 'completed':
self.update_batch_end_date()
self.commodity_name = self.update_commodity_name()
self.batch_median_health = self.update_batch_median_health()
self.batch_name = self.update_batch_name()
super(Batch, self).save(*args, **kwargs)
def update_commodity_name(self):
if self.commodity_id:
commodity_name = get_commodity_name(self.commodity_id)
if commodity_name:
return commodity_name[0]
return None
def update_batch_median_health(self):
if self.start_date and self.expected_delivery_date:
start_date = datetime.combine(self.start_date, datetime.min.time())
expected_delivery_date = datetime.combine(self.expected_delivery_date, datetime.min.time())
end_date = min([expected_delivery_date, datetime.today()]) - relativedelta(hours=5, minutes=30)
hours_diff = int((((end_date - start_date).total_seconds()) / 3600 / 2))
median_date = start_date + relativedelta(hours=hours_diff)
try:
median_crop_health = self.history.as_of(median_date).crop_health
except:
median_crop_health = self.batch_health
return median_crop_health
else:
return None
def update_batch_name(self):
batch_name = "({}) {}".format(self.id, self.commodity_name)
if self.start_date:
batch_name += " | {}".format(self.start_date.strftime('%Y-%m-%d'))
return batch_name
def update_expected_delivery_date(self):
self.expected_delivery_date = max([batch_yield.expected_delivery_date for batch_yield in
self.batch_yields.all() if batch_yield.expected_delivery_date])
self.save()
def update_batch_status(self):
number_of_yields = self.batch_yields.all().count()
end_date_list = len([batch_yield for batch_yield in self.batch_yields.all() if
batch_yield.end_date and batch_yield.end_date.date() < datetime.today().date()])
if number_of_yields == end_date_list:
self.batch_status = 3
self.save()
def update_expected_produce(self):
self.expected_produce += sum([batch_yields.expected_production for batch_yields in self.batch_yields.all()
if not batch_yields.end_date])
self.save()
def update_actual_produce(self):
for batch_yields in self.batch_yields.all():
produce = 0
if batch_yields.grade_a_produce:
produce += batch_yields.grade_a_produce
if batch_yields.grade_b_produce:
produce += batch_yields.grade_b_produce
if batch_yields.grade_c_rejection:
produce += batch_yields.grade_c_rejection
self.actual_produce += produce
self.save()
def update_sop_adherence(self):
if self.batch_sop_management.all():
total_sop = self.batch_sop_management.filter(due_datetime__lte=datetime.today())
complete_sop = total_sop.filter(current_status=3)
if total_sop:
self.sop_adherence = complete_sop.count() / total_sop.count() * 100
self.save()
def update_actual_yield_per_acre(self):
batch_actual_produce = 0
for batch_yields in self.batch_yields.all():
actual_produce = 0
if batch_yields.end_date and batch_yields.end_date.date() <= datetime.today().date():
if batch_yields.grade_a_produce:
actual_produce += batch_yields.grade_a_produce
if batch_yields.grade_b_produce:
actual_produce += batch_yields.grade_b_produce
if batch_yields.grade_c_rejection:
actual_produce += batch_yields.grade_c_rejection
batch_actual_produce += actual_produce
if self.acerage and batch_actual_produce:
self.actual_yield_per_acre = batch_actual_produce / self.acerage
self.save()
def update_batch_end_date(self):
batch_yields = self.batch_yields.order_by('-end_date')
if batch_yields.exists():
batch_yields_id = batch_yields.filter(end_date__isnull=False)
if batch_yields_id.exists():
self.end_date = batch_yields[0].end_date
else:
self.end_date = datetime.now()
else:
raise ValidationError("Batch yield end date does not exists")
def update_pending_tasks(self):
BatchSOPManagement = apps.get_model('sop_management', 'BatchSOPManagement')
self.pending_tasks = BatchSOPManagement.objects.filter(batch_id=self.id, current_status=2,
due_datetime__lt=datetime.today()).count()
self.save()
@receiver([post_save, post_delete], sender=Batch)
def update_batch_count(sender, instance, **kwargs):
instance.farm_id.update_batch_count()
@receiver(post_save, sender=Batch)
def update_farm_health(sender, instance, **kwargs):
instance.farm_id.update_farm_health()
我正在尝试测试 update_batch_name
所以，我的 test_batch.py 文件看起来像
from datetime import datetime
from django import apps
from django.dispatch import receiver
from django.test import TestCase
from django.db.utils import IntegrityError
from django.db.models.signals import post_save, post_delete
from farm_management.models import Farm, Device, BatchYield, Batch
from sop_management.models import BatchSOPManagement
class TestBatch(TestCase):
def setUp(self):
self.batch1 = Batch.objects.create(
commodity_id="2",
commodity_variety_id="4",
start_date=datetime(2021, 11, 26, 14, 20, 4),
commodity_name="Apple",
acerage="90",
batch_health="100",
batch_name="(1) Apple | 2021-11-26"
)
self.farm1 = Farm.objects.create(
farm_id="1"
)
self.farm1 = Farm.objects.create(
farm_id="1"
)
def test_batch(self):
self.assertEqual(self.batch1.commodity_id, "2")
self.assertEqual(self.batch1.commodity_variety_id, "4")
self.assertEqual(self.farm1.farm_id, "1")
self.assertEqual(self.batch1.start_date, "2021-11-26 14:20:14.000000")
self.assertEqual(self.batch1.commodity_name, "Apple")
self.assertEqual(self.batch1.acerage, "90")
self.assertEqual(self.batch1.batch_health, "100")
self.assertEqual(self.batch1.batch_name, "(1) Apple | 2021-11-26")
显然，这不是进行测试的方法
所以，错误是
File "/home/adarsh/igrow-api/venv/lib/python3.8/site-packages/django/db/models/base.py", line 774, in save_base
post_save.send(
File "/home/adarsh/igrow-api/venv/lib/python3.8/site-packages/django/dispatch/dispatcher.py", line 180, in send
return [
File "/home/adarsh/igrow-api/venv/lib/python3.8/site-packages/django/dispatch/dispatcher.py", line 181, in <listcomp>
(receiver, receiver(signal=self, sender=sender, **named))
File "/home/adarsh/igrow-api/app/farm_management/models.py", line 482, in update_batch_count
instance.farm_id.update_batch_count()
AttributeError: 'NoneType' object has no attribute 'update_batch_count'
----------------------------------------------------------------------
Ran 1 test in 0.279s
FAILED (errors=1)
所以，如果有人可以帮助执行 update_batch_name
的测试
将 start_date 作为 datetime 对象而不是字符串传递。 Batch 模型上的方法假设它是一个 datetime
from datetime import datetime
...
class TestBatch(TestCase):
def setUp(self):
self.batch1 = Batch.objects.create(
...
start_date=datetime(2021, 11, 26, 14, 20, 4),
...
)
我正在对 models.py 文件 Django 进行测试 在完成几个 类 的测试用例之后 我卡在了一个点
首先，让我分享models.py文件
class Batch(models.Model):
commodity_id = models.PositiveIntegerField(null=True, blank=True)
commodity_variety_id = models.PositiveIntegerField(null=True, blank=True)
farm_id = models.ForeignKey(Farm, on_delete=models.CASCADE, related_name="batches", null=True, blank=True,
db_column='farm_id')
start_date = models.DateTimeField(null=True, blank=True)
acerage = models.FloatField(verbose_name='Batch Acerage', help_text="In Acres;To change this value go to farms>crop"
, validators=[MaxValueValidator(1000000), MinValueValidator(0.01)])
batch_health = models.IntegerField(validators=[MaxValueValidator(100), MinValueValidator(0)],
help_text="In Percentage", default=100, null=True, blank=True)
stage = models.CharField(max_length=100, choices=config.STAGE_CHOICES, default='germination', null=True, blank=True)
expected_delivery_date = models.DateTimeField(null=True, blank=True)
current_pdd = models.FloatField(null=True, blank=True)
historic_pdd = models.FloatField(null=True, blank=True)
current_gdd = models.FloatField(null=True, blank=True)
historic_gdd = models.FloatField(null=True, blank=True)
sub_farmer_id = models.PositiveIntegerField(null=True, blank=True)
batch_status = models.CharField(max_length=100, choices=config.BATCH_STATUS, default='to_start')
updated_at = models.DateTimeField(auto_now=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_by_id = models.PositiveIntegerField(null=True, blank=True)
created_by_id = models.PositiveIntegerField(null=True, blank=True)
historical_yield_per_acre = models.FloatField(verbose_name="Yield / Acre - Historical", null=True, blank=True)
expected_produce = models.FloatField(default=0, null=True, blank=True)
actual_produce = models.FloatField(default=0, null=True, blank=True)
sop_adherence = models.FloatField(default=0, null=True, blank=True)
actual_yield_per_acre = models.FloatField(default=0, null=True, blank=True)
end_date = models.DateTimeField(null=True, blank=True)
commodity_name = models.CharField(max_length=200, null=True, blank=True)
batch_name = models.CharField(max_length=200, null=True, blank=True)
batch_median_health = models.PositiveIntegerField(null=True, blank=True)
pending_tasks = models.PositiveIntegerField(null=True, blank=True, default=0)
history = HistoricalRecords()
def __str__(self):
return self.batch_name
def save(self, *args, **kwargs):
SOPMaster = apps.get_model('sop_management', 'SOPMaster')
BatchSOPManagement = apps.get_model('sop_management', 'BatchSOPManagement')
batch_sop_list = []
if self.batch_status is 'completed':
self.update_batch_end_date()
self.commodity_name = self.update_commodity_name()
self.batch_median_health = self.update_batch_median_health()
self.batch_name = self.update_batch_name()
super(Batch, self).save(*args, **kwargs)
def update_commodity_name(self):
if self.commodity_id:
commodity_name = get_commodity_name(self.commodity_id)
if commodity_name:
return commodity_name[0]
return None
def update_batch_median_health(self):
if self.start_date and self.expected_delivery_date:
start_date = datetime.combine(self.start_date, datetime.min.time())
expected_delivery_date = datetime.combine(self.expected_delivery_date, datetime.min.time())
end_date = min([expected_delivery_date, datetime.today()]) - relativedelta(hours=5, minutes=30)
hours_diff = int((((end_date - start_date).total_seconds()) / 3600 / 2))
median_date = start_date + relativedelta(hours=hours_diff)
try:
median_crop_health = self.history.as_of(median_date).crop_health
except:
median_crop_health = self.batch_health
return median_crop_health
else:
return None
def update_batch_name(self):
batch_name = "({}) {}".format(self.id, self.commodity_name)
if self.start_date:
batch_name += " | {}".format(self.start_date.strftime('%Y-%m-%d'))
return batch_name
def update_expected_delivery_date(self):
self.expected_delivery_date = max([batch_yield.expected_delivery_date for batch_yield in
self.batch_yields.all() if batch_yield.expected_delivery_date])
self.save()
def update_batch_status(self):
number_of_yields = self.batch_yields.all().count()
end_date_list = len([batch_yield for batch_yield in self.batch_yields.all() if
batch_yield.end_date and batch_yield.end_date.date() < datetime.today().date()])
if number_of_yields == end_date_list:
self.batch_status = 3
self.save()
def update_expected_produce(self):
self.expected_produce += sum([batch_yields.expected_production for batch_yields in self.batch_yields.all()
if not batch_yields.end_date])
self.save()
def update_actual_produce(self):
for batch_yields in self.batch_yields.all():
produce = 0
if batch_yields.grade_a_produce:
produce += batch_yields.grade_a_produce
if batch_yields.grade_b_produce:
produce += batch_yields.grade_b_produce
if batch_yields.grade_c_rejection:
produce += batch_yields.grade_c_rejection
self.actual_produce += produce
self.save()
def update_sop_adherence(self):
if self.batch_sop_management.all():
total_sop = self.batch_sop_management.filter(due_datetime__lte=datetime.today())
complete_sop = total_sop.filter(current_status=3)
if total_sop:
self.sop_adherence = complete_sop.count() / total_sop.count() * 100
self.save()
def update_actual_yield_per_acre(self):
batch_actual_produce = 0
for batch_yields in self.batch_yields.all():
actual_produce = 0
if batch_yields.end_date and batch_yields.end_date.date() <= datetime.today().date():
if batch_yields.grade_a_produce:
actual_produce += batch_yields.grade_a_produce
if batch_yields.grade_b_produce:
actual_produce += batch_yields.grade_b_produce
if batch_yields.grade_c_rejection:
actual_produce += batch_yields.grade_c_rejection
batch_actual_produce += actual_produce
if self.acerage and batch_actual_produce:
self.actual_yield_per_acre = batch_actual_produce / self.acerage
self.save()
def update_batch_end_date(self):
batch_yields = self.batch_yields.order_by('-end_date')
if batch_yields.exists():
batch_yields_id = batch_yields.filter(end_date__isnull=False)
if batch_yields_id.exists():
self.end_date = batch_yields[0].end_date
else:
self.end_date = datetime.now()
else:
raise ValidationError("Batch yield end date does not exists")
def update_pending_tasks(self):
BatchSOPManagement = apps.get_model('sop_management', 'BatchSOPManagement')
self.pending_tasks = BatchSOPManagement.objects.filter(batch_id=self.id, current_status=2,
due_datetime__lt=datetime.today()).count()
self.save()
@receiver([post_save, post_delete], sender=Batch)
def update_batch_count(sender, instance, **kwargs):
instance.farm_id.update_batch_count()
@receiver(post_save, sender=Batch)
def update_farm_health(sender, instance, **kwargs):
instance.farm_id.update_farm_health()
我正在尝试测试 update_batch_name
所以，我的 test_batch.py 文件看起来像
from datetime import datetime
from django import apps
from django.dispatch import receiver
from django.test import TestCase
from django.db.utils import IntegrityError
from django.db.models.signals import post_save, post_delete
from farm_management.models import Farm, Device, BatchYield, Batch
from sop_management.models import BatchSOPManagement
class TestBatch(TestCase):
def setUp(self):
self.batch1 = Batch.objects.create(
commodity_id="2",
commodity_variety_id="4",
start_date=datetime(2021, 11, 26, 14, 20, 4),
commodity_name="Apple",
acerage="90",
batch_health="100",
batch_name="(1) Apple | 2021-11-26"
)
self.farm1 = Farm.objects.create(
farm_id="1"
)
self.farm1 = Farm.objects.create(
farm_id="1"
)
def test_batch(self):
self.assertEqual(self.batch1.commodity_id, "2")
self.assertEqual(self.batch1.commodity_variety_id, "4")
self.assertEqual(self.farm1.farm_id, "1")
self.assertEqual(self.batch1.start_date, "2021-11-26 14:20:14.000000")
self.assertEqual(self.batch1.commodity_name, "Apple")
self.assertEqual(self.batch1.acerage, "90")
self.assertEqual(self.batch1.batch_health, "100")
self.assertEqual(self.batch1.batch_name, "(1) Apple | 2021-11-26")
显然，这不是进行测试的方法
所以，错误是
File "/home/adarsh/igrow-api/venv/lib/python3.8/site-packages/django/db/models/base.py", line 774, in save_base
post_save.send(
File "/home/adarsh/igrow-api/venv/lib/python3.8/site-packages/django/dispatch/dispatcher.py", line 180, in send
return [
File "/home/adarsh/igrow-api/venv/lib/python3.8/site-packages/django/dispatch/dispatcher.py", line 181, in <listcomp>
(receiver, receiver(signal=self, sender=sender, **named))
File "/home/adarsh/igrow-api/app/farm_management/models.py", line 482, in update_batch_count
instance.farm_id.update_batch_count()
AttributeError: 'NoneType' object has no attribute 'update_batch_count'
----------------------------------------------------------------------
Ran 1 test in 0.279s
FAILED (errors=1)
所以，如果有人可以帮助执行 update_batch_name
的测试将 start_date 作为 datetime 对象而不是字符串传递。 Batch 模型上的方法假设它是一个 datetime
from datetime import datetime
...
class TestBatch(TestCase):
def setUp(self):
self.batch1 = Batch.objects.create(
...
start_date=datetime(2021, 11, 26, 14, 20, 4),
...
)