Django Tests: setUpTestData on Postgres throws: "Duplicate key value violates unique constraint" - django

I am running into a database issue in my unit tests. I think it has something to do with the way I am using TestCase and setUpData.
When I try to set up my test data with certain values, the tests throw the following error:
django.db.utils.IntegrityError: duplicate key value violates unique constraint
...
psycopg2.IntegrityError: duplicate key value violates unique constraint "InventoryLogs_productgroup_product_name_48ec6f8d_uniq"
DETAIL: Key (product_name)=(Almonds) already exists.
I changed all of my primary keys and it seems to be running fine. It doesn't seem to affect any of the tests.
However, I'm concerned that I am doing something wrong. When it first happened, I reversed about an hour's worth of work on my app (not that much code for a noob), which corrected the problem.
Then when I wrote the changes back in, the same issue presented itself again. TestCase is pasted below. The issue seems to occur after I add the sortrecord items, but corresponds with the items above it.
I don't want to keep going through and changing primary keys and urls in my tests, so if anyone sees something wrong with the way I am using this, please help me out. Thanks!
TestCase
class DetailsPageTest(TestCase):
#classmethod
def setUpTestData(cls):
cls.product1 = ProductGroup.objects.create(
product_name="Almonds"
)
cls.variety1 = Variety.objects.create(
product_group = cls.product1,
variety_name = "non pareil",
husked = False,
finished = False,
)
cls.supplier1 = Supplier.objects.create(
company_name = "Acme",
company_location = "Acme Acres",
contact_info = "Call me!"
)
cls.shipment1 = Purchase.objects.create(
tag=9,
shipment_id=9999,
supplier_id = cls.supplier1,
purchase_date='2015-01-09',
purchase_price=9.99,
product_name=cls.variety1,
pieces=99,
kgs=999,
crackout_estimate=99.9
)
cls.shipment2 = Purchase.objects.create(
tag=8,
shipment_id=8888,
supplier_id=cls.supplier1,
purchase_date='2015-01-08',
purchase_price=8.88,
product_name=cls.variety1,
pieces=88,
kgs=888,
crackout_estimate=88.8
)
cls.shipment3 = Purchase.objects.create(
tag=7,
shipment_id=7777,
supplier_id=cls.supplier1,
purchase_date='2014-01-07',
purchase_price=7.77,
product_name=cls.variety1,
pieces=77,
kgs=777,
crackout_estimate=77.7
)
cls.sortrecord1 = SortingRecords.objects.create(
tag=cls.shipment1,
date="2015-02-05",
bags_sorted=20,
turnout=199,
)
cls.sortrecord2 = SortingRecords.objects.create(
tag=cls.shipment1,
date="2015-02-07",
bags_sorted=40,
turnout=399,
)
cls.sortrecord3 = SortingRecords.objects.create(
tag=cls.shipment1,
date='2015-02-09',
bags_sorted=30,
turnout=299,
)
Models
from datetime import datetime
from django.db import models
from django.db.models import Q
class ProductGroup(models.Model):
product_name = models.CharField(max_length=140, primary_key=True)
def __str__(self):
return self.product_name
class Meta:
verbose_name = "Product"
class Supplier(models.Model):
company_name = models.CharField(max_length=45)
company_location = models.CharField(max_length=45)
contact_info = models.CharField(max_length=256)
class Meta:
ordering = ["company_name"]
def __str__(self):
return self.company_name
class Variety(models.Model):
product_group = models.ForeignKey(ProductGroup)
variety_name = models.CharField(max_length=140)
husked = models.BooleanField()
finished = models.BooleanField()
description = models.CharField(max_length=500, blank=True)
class Meta:
ordering = ["product_group_id"]
verbose_name_plural = "Varieties"
def __str__(self):
return self.variety_name
class PurchaseYears(models.Manager):
def purchase_years_list(self):
unique_years = Purchase.objects.dates('purchase_date', 'year')
results_list = []
for p in unique_years:
results_list.append(p.year)
return results_list
class Purchase(models.Model):
tag = models.IntegerField(primary_key=True)
product_name = models.ForeignKey(Variety, related_name='purchases')
shipment_id = models.CharField(max_length=24)
supplier_id = models.ForeignKey(Supplier)
purchase_date = models.DateField()
estimated_delivery = models.DateField(null=True, blank=True)
purchase_price = models.DecimalField(max_digits=6, decimal_places=3)
pieces = models.IntegerField()
kgs = models.IntegerField()
crackout_estimate = models.DecimalField(max_digits=6,decimal_places=3, null=True)
crackout_actual = models.DecimalField(max_digits=6,decimal_places=3, null=True)
objects = models.Manager()
purchase_years = PurchaseYears()
# Keep manager as "objects" in case admin, etc. needs it. Filter can be called like so:
# Purchase.objects.purchase_years_list()
# Managers in docs: https://docs.djangoproject.com/en/1.8/intro/tutorial01/
class Meta:
ordering = ["purchase_date"]
def __str__(self):
return self.shipment_id
def _weight_conversion(self):
return round(self.kgs * 2.20462)
lbs = property(_weight_conversion)
class SortingModelsBagsCalulator(models.Manager):
def total_sorted(self, record_date, current_set):
sorted = [SortingRecords['bags_sorted'] for SortingRecords in current_set if
SortingRecords['date'] <= record_date]
return sum(sorted)
class SortingRecords(models.Model):
tag = models.ForeignKey(Purchase, related_name='sorting_record')
date = models.DateField()
bags_sorted = models.IntegerField()
turnout = models.IntegerField()
objects = models.Manager()
def __str__(self):
return "%s [%s]" % (self.date, self.tag.tag)
class Meta:
ordering = ["date"]
verbose_name_plural = "Sorting Records"
def _calculate_kgs_sorted(self):
kg_per_bag = self.tag.kgs / self.tag.pieces
kgs_sorted = kg_per_bag * self.bags_sorted
return (round(kgs_sorted, 2))
kgs_sorted = property(_calculate_kgs_sorted)
def _byproduct(self):
waste = self.kgs_sorted - self.turnout
return (round(waste, 2))
byproduct = property(_byproduct)
def _bags_remaining(self):
current_set = SortingRecords.objects.values().filter(~Q(id=self.id), tag=self.tag)
sorted = [SortingRecords['bags_sorted'] for SortingRecords in current_set if
SortingRecords['date'] <= self.date]
remaining = self.tag.pieces - sum(sorted) - self.bags_sorted
return remaining
bags_remaining = property(_bags_remaining)
EDIT
It also fails with integers, like so.
django.db.utils.IntegrityError: duplicate key value violates unique constraint "InventoryLogs_purchase_pkey"
DETAIL: Key (tag)=(9) already exists.
UDPATE
So I should have mentioned this earlier, but I completely forgot. I have two unit test files that use the same data. Just for kicks, I matched a primary key in both instances of setUpTestData() to a different value and sure enough, I got the same error.
These two setups were working fine side-by-side before I added more data to one of them. Now, it appears that they need different values. I guess you can only get away with using repeat data for so long.

I continued to get this error without having any duplicate data but I was able to resolve the issue by initializing the object and calling the save() method rather than creating the object via Model.objects.create()
In other words, I did this:
#classmethod
def setUpTestData(cls):
cls.person = Person(first_name="Jane", last_name="Doe")
cls.person.save()
Instead of this:
#classmethod
def setUpTestData(cls):
cls.person = Person.objects.create(first_name="Jane", last_name="Doe")

I've been running into this issue sporadically for months now. I believe I just figured out the root cause and a couple solutions.
Summary
For whatever reason, it seems like the Django test case base classes aren't removing the database records created by let's just call it TestCase1 before running TestCase2. Which, in TestCase2 when it tries to create records in the database using the same IDs as TestCase1 the database raises a DuplicateKey exception because those IDs already exists in the database. And even saying the magic word "please" won't help with database duplicate key errors.
Good news is, there are multiple ways to solve this problem! Here are a couple...
Solution 1
Make sure if you are overriding the class method tearDownClass that you call super().tearDownClass(). If you override tearDownClass() without calling its super, it will in turn never call TransactionTestCase._post_teardown() nor TransactionTestCase._fixture_teardown(). Quoting from the doc string in TransactionTestCase._post_teardown()`:
def _post_teardown(self):
"""
Perform post-test things:
* Flush the contents of the database to leave a clean slate. If the
class has an 'available_apps' attribute, don't fire post_migrate.
* Force-close the connection so the next test gets a clean cursor.
"""
If TestCase.tearDownClass() is not called via super() then the database is not reset in between test cases and you will get the dreaded duplicate key exception.
Solution 2
Override TransactionTestCase and set the class variable serialized_rollback = True, like this:
class MyTestCase(TransactionTestCase):
fixtures = ['test-data.json']
serialized_rollback = True
def test_name_goes_here(self):
pass
Quoting from the source:
class TransactionTestCase(SimpleTestCase):
...
# If transactions aren't available, Django will serialize the database
# contents into a fixture during setup and flush and reload them
# during teardown (as flush does not restore data from migrations).
# This can be slow; this flag allows enabling on a per-case basis.
serialized_rollback = False
When serialized_rollback is set to True, Django test runner rolls back any transactions inserted into the database beween test cases. And batta bing, batta bang... no more duplicate key errors!
Conclusion
There are probably many more ways to implement a solution for the OP's issue, but these two should work nicely. Would definitely love to have more solutions added by others for clarity sake and a deeper understanding of the underlying Django test case base classes. Phew, say that last line real fast three times and you could win a pony!

The log you provided states DETAIL: Key (product_name)=(Almonds) already exists. Did you verify in your db?
To prevent such errors in the future, you should prefix all your test data string by test_

I discovered the issue, as noted at the bottom of the question.
From what I can tell, the database didn't like me using duplicate data in the setUpTestData() methods of two different tests. Changing the primary key values in the second test corrected the problem.

I think the problem here is that you had a tearDownClass method in your TestCase without the call to super method.
In this way the django TestCase lost the transactional functionalities behind the setUpTestData so it doesn't clean your test db after a TestCase is finished.
Check warning in django docs here:
https://docs.djangoproject.com/en/1.10/topics/testing/tools/#django.test.SimpleTestCase.allow_database_queries

I had similar problem that had been caused by providing the primary key value to a test case explicitly.
As discussed in the Django documentation, manually assigning a value to an auto-incrementing field doesn’t update the field’s sequence, which might later cause a conflict.
I have solved it by altering the sequence manually:
from django.db import connection
class MyTestCase(TestCase):
#classmethod
def setUpTestData(cls):
Model.objects.create(id=1)
with connection.cursor() as c:
c.execute(
"""
ALTER SEQUENCE "app_model_id_seq" RESTART WITH 2;
"""
)

Related

django update_or_create gets "duplicate key value violates unique constraint "

Maybe I misunderstand the purpose of Django's update_or_create Model method.
Here is my Model:
from django.db import models
import datetime
from vc.models import Cluster
class Vmt(models.Model):
added = models.DateField(default=datetime.date.today, blank=True, null=True)
creation_time = models.TextField(blank=True, null=True)
current_pm_active = models.TextField(blank=True, null=True)
current_pm_total = models.TextField(blank=True, null=True)
... more simple fields ...
cluster = models.ForeignKey(Cluster, null=True)
class Meta:
unique_together = (("cluster", "added"),)
Here is my test:
from django.test import TestCase
from .models import *
from vc.models import Cluster
from django.db import transaction
# Create your tests here.
class VmtModelTests(TestCase):
def test_insert_into_VmtModel(self):
count = Vmt.objects.count()
self.assertEqual(count, 0)
# create a Cluster
c = Cluster.objects.create(name='test-cluster')
Vmt.objects.create(
cluster=c,
creation_time='test creaetion time',
current_pm_active=5,
current_pm_total=5,
... more simple fields ...
)
count = Vmt.objects.count()
self.assertEqual(count, 1)
self.assertEqual('5', c.vmt_set.all()[0].current_pm_active)
# let's test that we cannot add that same record again
try:
with transaction.atomic():
Vmt.objects.create(
cluster=c,
creation_time='test creaetion time',
current_pm_active=5,
current_pm_total=5,
... more simple fields ...
)
self.fail(msg="Should violated integrity constraint!")
except Exception as ex:
template = "An exception of type {0} occurred. Arguments:\n{1!r}"
message = template.format(type(ex).__name__, ex.args)
self.assertEqual("An exception of type IntegrityError occurred.", message[:45])
Vmt.objects.update_or_create(
cluster=c,
creation_time='test creaetion time',
# notice we are updating current_pm_active to 6
current_pm_active=6,
current_pm_total=5,
... more simple fields ...
)
count = Vmt.objects.count()
self.assertEqual(count, 1)
On the last update_or_create call I get this error:
IntegrityError: duplicate key value violates unique constraint "vmt_vmt_cluster_id_added_c2052322_uniq"
DETAIL: Key (cluster_id, added)=(1, 2018-06-18) already exists.
Why didn't wasn't the model updated? Why did Django try to create a new record that violated the unique constraint?
The update_or_create(defaults=None, **kwargs) has basically two parts:
the **kwargs which specify the "filter" criteria to determine if such object is already present; and
the defaults which is a dictionary that contains the fields mapped to values that should be used when we create a new row (in case the filtering fails to find a row), or which values should be updated (in case we find such row).
The problem here is that you make your filters too restrictive: you add several filters, and as a result the database does not find such row. So what happens? The database then aims to create the row with these filter values (and since defaults is missing, no extra values are added). But then it turns out that we create a row, and that the combination of the cluster and added already exists. Hence the database refuses to add this row.
So this line:
Model.objects.update_or_create(field1=val1,
field2=val2,
defaults={
'field3': val3,
'field4': val4
})
Is to semantically approximately equal to:
try:
item = Model.objects.get(field1=val1, field2=val2)
except Model.DoesNotExist:
Model.objects.create(field1=val1, field2=val2, field3=val3, field4=val4)
else:
item = Model.objects.filter(
field1=val1,
field2=val2,
).update(
field3 = val3
field4 = val4
)
(but the original call is typically done in a single query).
You probably thus should write:
Vmt.objects.update_or_create(
cluster=c,
creation_time='test creaetion time',
defaults = {
'current_pm_active': 6,
'current_pm_total': 5,
}
)
(or something similar)
You should separate your field:
Fields that should be searched for
Fields that should be updated
for example:
If I have the model:
class User(models.Model):
username = models.CharField(max_length=200)
nickname = models.CharField(max_length=200)
And I want to search for username = 'Nikolas' and update this instance nickname to 'Nik'(if no User with username 'Nikolas' I need to create it) I should write this code:
User.objects.update_or_create(
username='Nikolas',
defaults={'nickname': 'Nik'},
)
see in https://docs.djangoproject.com/en/3.1/ref/models/querysets/
This is already answered well in the above.
To be more clear the update_or_create() method should have **kwargs as those parameters on which you want to check if that data already exists in DB by filtering.
select some_column from table_name where column1='' and column2='';
Filtering by **kwargs will give you objects. Now if you wish to update any data/column of those filtered objects, you should pass them in defaults param in update_or_create() method.
so lets say you found an object based on a filter now the default param values are expected to be picked and updated.
and if there's no matching object found based on the filter then it goes ahead and creates an entry with filters and the default param passed.

django querset filter foreign key select first record

I have a History model like below
class History(models.Model):
class Meta:
app_label = 'subscription'
ordering = ['-start_datetime']
subscription = models.ForeignKey(Subscription, related_name='history')
FREE = 'free'
Premium = 'premium'
SUBSCRIPTION_TYPE_CHOICES = ((FREE, 'Free'), (Premium, 'Premium'),)
name = models.CharField(max_length=32, choices=SUBSCRIPTION_TYPE_CHOICES, default=FREE)
start_datetime = models.DateTimeField(db_index=True)
end_datetime = models.DateTimeField(db_index=True, blank=True, null=True)
cancelled_datetime = models.DateTimeField(blank=True, null=True)
Now i have a queryset filtering like below
users = get_user_model().objects.all()
queryset = users.exclude(subscription__history__end_datetime__lt=timezone.now())
The issue is that in the exclude above it is checking end_datetime for all the rows for a particular history object. But i only want to compare it with first row of history object.
Below is how a particular history object looks like. So i want to write a queryset filter which can do datetime comparison on first row only.
You could use a Model Manager method for this. The documentation isn't all that descriptive, but you could do something along the lines of:
class SubscriptionManager(models.Manager):
def my_filter(self):
# You'd want to make this a smaller query most likely
subscriptions = Subscription.objects.all()
results = []
for subscription in subscriptions:
sub_history = subscription.history_set.first()
if sub_history.end_datetime > timezone.now:
results.append(subscription)
return results
class History(models.Model):
subscription = models.ForeignKey(Subscription)
end_datetime = models.DateTimeField(db_index=True, blank=True, null=True)
objects = SubscriptionManager()
Then: queryset = Subscription.objects().my_filter()
Not a copy-pastable answer, but shows the use of Managers. Given the specificity of what you're looking for, I don't think there's a way to get it just via the plain filter() and exclude().
Without knowing what your end goal here is, it's hard to say whether this is feasible, but have you considered adding a property to the subscription model that indicates whatever you're looking for? For example, if you're trying to get everyone who has a subscription that's ending:
class Subscription(models.Model):
#property
def ending(self):
if self.end_datetime > timezone.now:
return True
else:
return False
Then in your code: queryset = users.filter(subscription_ending=True)
I have tried django's all king of expressions(aggregate, query, conditional) but was unable to solve the problem so i went with RawSQL and it solved the problem.
I have used the below SQL to select the first row and then compare the end_datetime
SELECT (end_datetime > %s OR end_datetime IS NULL) AS result
FROM subscription_history
ORDER BY start_datetime DESC
LIMIT 1;
I will select my answer as accepted if not found a solution with queryset filter chaining in next 2 days.

query the database using django object Q to the same field with the operator &

I apologize in advance if my question has already been there, but I have not found.
there is a model:
class Artikul_cabinets(models.Model):
artikul_cabinets = models.CharField(verbose_name="Артикул шкафа", max_length=20)
title_cabinets = models.CharField(verbose_name="Описание шкафа", max_length=200)
width_cabinets = models.ManyToManyField(Width_cabinets)
depth_cabinets = models.ManyToManyField(Depth_cabinets)
unit_cabinets = models.ManyToManyField(Unit_cabinets)
weight_cabinets = models.ManyToManyField(Weight_cabinets)
type_cabinets = models.ForeignKey(Type_cabinets, default=1)
color_cabinets = models.ForeignKey(Color_cabinets)
glass_cabinets = models.ManyToManyField(Glass_cabinets)
class Meta:
verbose_name_plural = "Артикул шкафа"
def __str__(self):
return self.artikul_cabinets
It is necessary to make the selection on the field
glass_cabinets = models.ManyToManyField(Glass_cabinets)
The selection is done as follows
data = Artikul_cabinets.objects.filter(Q(glass_cabinets=perf) &
Q(glass_cabinets=glass)
perf and glass the variables with different values.
And I returned to my empty QuerySet, although the database element with the parameters 'perf' and 'glass' are present in the record.
Tell me what I'm doing wrong.
also tried:
data = Artikul_cabinets.objects.filter(Q(glass_cabinets=perf),
Q(glass_cabinets=glass)
and also did not work, though if you put the operator '|' the conditions or work out correctly.
So I think you should do Artikul_cabinets.objects.filter(glass_cabinets=perf).filter(glass_cabinets=glass‌​)
check How to filter model results for multiple values for a many to many field in django

Django unique_together with nullable ForeignKey

I'm using Django 1.8.4 in my dev machine using Sqlite and I have these models:
class ModelA(Model):
field_a = CharField(verbose_name='a', max_length=20)
field_b = CharField(verbose_name='b', max_length=20)
class Meta:
unique_together = ('field_a', 'field_b',)
class ModelB(Model):
field_c = CharField(verbose_name='c', max_length=20)
field_d = ForeignKey(ModelA, verbose_name='d', null=True, blank=True)
class Meta:
unique_together = ('field_c', 'field_d',)
I've run proper migration and registered them in the Django Admin. So, using the Admin I've done this tests:
I'm able to create ModelA records and Django prohibits me from creating duplicate records - as expected!
I'm not able to create identical ModelB records when field_b is not empty
But, I'm able to create identical ModelB records, when using field_d as empty
My question is: How do I apply unique_together for nullable ForeignKey?
The most recent answer I found for this problem has 5 year... I do think Django have evolved and the issue may not be the same.
Django 2.2 added a new constraints API which makes addressing this case much easier within the database.
You will need two constraints:
The existing tuple constraint; and
The remaining keys minus the nullable key, with a condition
If you have multiple nullable fields, I guess you will need to handle the permutations.
Here's an example with a thruple of fields that must be all unique, where only one NULL is permitted:
from django.db import models
from django.db.models import Q
from django.db.models.constraints import UniqueConstraint
class Badger(models.Model):
required = models.ForeignKey(Required, ...)
optional = models.ForeignKey(Optional, null=True, ...)
key = models.CharField(db_index=True, ...)
class Meta:
constraints = [
UniqueConstraint(fields=['required', 'optional', 'key'],
name='unique_with_optional'),
UniqueConstraint(fields=['required', 'key'],
condition=Q(optional=None),
name='unique_without_optional'),
]
UPDATE: previous version of my answer was functional but had bad design, this one takes in account some of the comments and other answers.
In SQL NULL does not equal NULL. This means if you have two objects where field_d == None and field_c == "somestring" they are not equal, so you can create both.
You can override Model.clean to add your check:
class ModelB(Model):
#...
def validate_unique(self, exclude=None):
if ModelB.objects.exclude(id=self.id).filter(field_c=self.field_c, \
field_d__isnull=True).exists():
raise ValidationError("Duplicate ModelB")
super(ModelB, self).validate_unique(exclude)
If used outside of forms you have to call full_clean or validate_unique.
Take care to handle the race condition though.
#ivan, I don't think that there's a simple way for django to manage this situation. You need to think of all creation and update operations that don't always come from a form. Also, you should think of race conditions...
And because you don't force this logic on DB level, it's possible that there actually will be doubled records and you should check it while querying results.
And about your solution, it can be good for form, but I don't expect that save method can raise ValidationError.
If it's possible then it's better to delegate this logic to DB. In this particular case, you can use two partial indexes. There's a similar question on StackOverflow - Create unique constraint with null columns
So you can create Django migration, that adds two partial indexes to your DB
Example:
# Assume that app name is just `example`
CREATE_TWO_PARTIAL_INDEX = """
CREATE UNIQUE INDEX model_b_2col_uni_idx ON example_model_b (field_c, field_d)
WHERE field_d IS NOT NULL;
CREATE UNIQUE INDEX model_b_1col_uni_idx ON example_model_b (field_c)
WHERE field_d IS NULL;
"""
DROP_TWO_PARTIAL_INDEX = """
DROP INDEX model_b_2col_uni_idx;
DROP INDEX model_b_1col_uni_idx;
"""
class Migration(migrations.Migration):
dependencies = [
('example', 'PREVIOUS MIGRATION NAME'),
]
operations = [
migrations.RunSQL(CREATE_TWO_PARTIAL_INDEX, DROP_TWO_PARTIAL_INDEX)
]
Add a clean method to your model - see below:
def clean(self):
if Variants.objects.filter("""Your filter """).exclude(pk=self.pk).exists():
raise ValidationError("This variation is duplicated.")
I think this is more clear way to do that for Django 1.2+
In forms it will be raised as non_field_error with no 500 error, in other cases, like DRF you have to check this case manual, because it will be 500 error.
But it will always check for unique_together!
class BaseModelExt(models.Model):
is_cleaned = False
def clean(self):
for field_tuple in self._meta.unique_together[:]:
unique_filter = {}
unique_fields = []
null_found = False
for field_name in field_tuple:
field_value = getattr(self, field_name)
if getattr(self, field_name) is None:
unique_filter['%s__isnull' % field_name] = True
null_found = True
else:
unique_filter['%s' % field_name] = field_value
unique_fields.append(field_name)
if null_found:
unique_queryset = self.__class__.objects.filter(**unique_filter)
if self.pk:
unique_queryset = unique_queryset.exclude(pk=self.pk)
if unique_queryset.exists():
msg = self.unique_error_message(self.__class__, tuple(unique_fields))
raise ValidationError(msg)
self.is_cleaned = True
def save(self, *args, **kwargs):
if not self.is_cleaned:
self.clean()
super().save(*args, **kwargs)
One possible workaround not mentioned yet is to create a dummy ModelA object to serve as your NULL value. Then you can rely on the database to enforce the uniqueness constraint.

Django difficulty saving multiple model objects within save method

This is a hard question for me to describe, but I will do my best here.
I have a model that is for a calendar event:
class Event(models.Model):
account = models.ForeignKey(Account, related_name="event_account")
location = models.ForeignKey(Location, related_name="event_location")
patient = models.ManyToManyField(Patient)
datetime_start = models.DateTimeField()
datetime_end = models.DateTimeField()
last_update = models.DateTimeField(auto_now=False, auto_now_add=False, null=True, blank=True)
event_series = models.ForeignKey(EventSeries, related_name="event_series", null=True, blank=True)
is_original_event = models.BooleanField(default=True)
When this is saved I am overriding the save() method to check and see if the event_series (recurring events) is set. If it is, then I need to iteratively create another event object for each recurring date.
The following seems to work, though it may not be the best approach:
def save(self, *args, **kwargs):
if self.pk is None:
if self.event_series is not None and self.is_original_event is True :
recurrence_rules = EventSeries.objects.get(pk=self.event_series.pk)
rr_freq = DAILY
if recurrence_rules.frequency == "DAILY":
rr_freq = DAILY
elif recurrence_rules.frequency == "WEEKLY":
rr_freq = WEEKLY
elif recurrence_rules.frequency == "MONTHLY":
rr_freq = MONTHLY
elif recurrence_rules.frequency == "YEARLY":
rr_freq = YEARLY
rlist = list(rrule(rr_freq, count=recurrence_rules.recurrences, dtstart=self.datetime_start))
for revent in rlist:
evnt = Event.objects.create(account = self.account, location = self.location, datetime_start = revent, datetime_end = revent, is_original_event = False, event_series = self.event_series)
super(Event, evnt).save(*args, **kwargs)
super(Event, self).save(*args, **kwargs)
However, the real problem I am finding is that using this methodology and saving from the Admin forms, it is creating the recurring events, but if I try to get self.patient which is a M2M field, I keep getting this error:
'Event' instance needs to have a primary key value before a many-to-many relationship can be used
My main question is about this m2m error, but also if you have any feedback on the nested saving for recurring events, that would be great as well.
Thanks much!
If the code trying to access self.patient is in the save method and happens before the instance has been saved then it's clearly the expected behaviour. Remember that Model objects are just a thin (well...) wrapper over a SQL database... Also, even if you first save your new instance then try to access self.patient from the save method you'll still have an empty queryset since the m2m won't have been saved by the admin form yet.
IOW, if you have something to do that depends on m2m being set, you'll have to put it in a distinct method and ensure that method get called when appropriate
About your code snippet:
1/ the recurrence_rules = EventSeries.objects.get(pk=self.event_series.pk) is just redundant, since you alreay have the very same object under the name self.event_series
2/ there's no need to call save on the events you create with Event.objects.create - the ModelManager.create method really create an instance (that is: save it to the database).