Thanks. I'll take a stab at this approach. To back up a little bit my main 
confusion is around why the association tables aren't updating as expected. As 
I understand it, without cascades configured, the default behavior should be to 
remove associations from those tables. If I configure cascades like on 
delete=cascade then the associated objects themselves are set to also be 
deleted (as I would expect). In the no cascades scenario, if I delete the 
test_chain then the orm should remove its rows from test_chain_var_region and 
test_chain_const_region (this occurs after the test_molecule is already deleted 
so any corresponding test_molecule_chain rows are already removed) but the 
constraint error occurs because it leaves them there. It works as expected with 
deleting the molecule, and test_molecule_chain rows are removed but not 
test_chains hence why I need to perform the additional logic to remove the 
stranded chains that are left behind but not linked to any test_molecules 
anymore. Am I doing something differently in my test_molecule configuration 
that I'm just not seeing?

Mark Aquino
________________________________
From: sqlalchemy@googlegroups.com <sqlalchemy@googlegroups.com> on behalf of 
Mike Bayer <mike...@zzzcomputing.com>
Sent: Wednesday, April 14, 2021 11:21:28 AM
To: noreply-spamdigest via sqlalchemy <sqlalchemy@googlegroups.com>
Subject: Re: [sqlalchemy] Issue with "complex" many 2 many delete, FK violation


hey there-

The general strategy, if you want to write business logic that checks things, 
takes other actions, etc. when changes occur in the session, is to use the 
before_flush event handler:  
https://docs.sqlalchemy.org/en/14/orm/events.html?highlight=before_flush#sqlalchemy.orm.SessionEvents.before_flush

in this event, you can review the linkages on the objects in question and emit 
additional statements if desired.  Note this is because you said you didn't 
want to use CASCADE rules on your foreign keys; that would allow your script to 
pass without change.

The general form of using before_flush(), where I've paraphrased a few of your 
business rules below in the form of pseduocode, looks like:

from sqlalchemy import event


@event.listens_for(SomeSessionOrFactory, 'before_flush')
def receive_before_flush(session, flush_context, instances):
    for obj in session.deleted:
        if isinstance(obj, TestMolecule):
            check_obj_not_linked_to_other_test_molecules(obj)
        elif isinstance(obj, TestChain):
            if should_delete_related_test_mol_sequence(obj):
                session.delete(obj.related_test_mol_sequence)

            # ... etc


Obviously you'd need to work out the specifics of your model here, but within 
before_flush() you can respond to all objects that have pending changes and/or 
deletions, and add additional custom rules and actions where you are free to 
further modify the state of the Session, which will take effect within this 
same flush operation.






On Tue, Apr 13, 2021, at 5:29 PM, Mark Aquino wrote:
Hi Mike,

Sorry about the indentations.

I'm not sure I understand the changes you made to the script after delete as it 
removes all test_chains, test_var_regions, and test_const regions that are 
still referenced by the other test_molecules.   The only way I've been able to 
get the delete to work properly is to manually delete test_var_regions and 
test_const_regions first and then delete the test_molecules, but the ideal 
outcome I'm trying to achieve is that when a test_molecule is deleted:

  1.   that the system checks if the chains connected to it are removed if they 
are not linked to other test_molecules.
  2.  if a test_chain is going to be deleted then
     *   the test_mol_sequence associated with it is deleted if it is no longer 
associated with any other test_chains
     *   any test_var_regions and test_const_regions are deleted if they are 
not associated with any other test_chains
  3.  and finally if a test_mol_sequence is deleted that any 
test_mol_sequence_features are deleted if they are not associated with any 
other test_mol_sequences.

To make things a little easier to explain, if we just are dealing with 
molecule1 and molecule4 there are only 3 unique test_chains: heavy_chain_1, 
light_chain_1, and heavy_chain_2
if I deleted molecule1, I would want to retain heavy_chain_2 and light_chain_1 
and delete heavy_chain_1 as it was no longer associated with any test_molecule. 
Ideally, then I would remove any test_const_regions and test_var_regions that 
are no longer associated with any test_chains.
Because heavy_chain_1 shares the same test_var_region as heavy_chain_2, that 
test_var_region would remain in the system but the test_const_region unique to 
heavy_chain_1 would be deleted along with the test_mol_sequence and 
test_mol_sequence_features associated with it.


    molecule1.chains.add(heavy_chain_1)
    molecule1.chains.add(light_chain_1)
    #molecule2.chains.add(heavy_chain_2)
    #molecule2.chains.add(light_chain_2)
    #molecule3.chains.add(heavy_chain_1)
    #molecule3.chains.add(light_chain_2)
    molecule4.chains.add(heavy_chain_2)
    molecule4.chains.add(light_chain_1)


light_chain_1_sequence = TestMolSequence(content="taglconst1VAR1")
heavy_chain_1_sequence = TestMolSequence(content="tagheavyconstant1VAR2")
heavy_chain_2_sequence = TestMolSequence(content="tagheavyconstant2VAR2")
light_chain_2_sequence = TestMolSequence(content="taglconst1VAR3")

Does that make sense?



On Tue, Apr 13, 2021 at 4:50 PM Mike Bayer 
<mike...@zzzcomputing.com<mailto:mike...@zzzcomputing.com>> wrote:

Hi there -

I would ask that you try to make sure your formatting is maintained when 
posting examples especially such long ones as I had to re-indent it in order to 
run this.

The delete at the end is failing because of incomplete cascade rules.   The 
DELETE against "test_mol_sequence" seeks to CASCADE as configured to the other 
three tables,, which then fail because there are non-cascading FKs in the 
association tables.   We can see this via the message:

update or delete on table "test_var_region" violates foreign key constraint 
"test_chain_var_region_var_region_id_fkey" on table "test_chain_var_region"
DETAIL:  Key (id)=(1) is still referenced from table "test_chain_var_region".

[SQL: DELETE FROM test_mol_sequence WHERE 
test_mol_sequence.id<http://test_mol_sequence.id> = %(id)s]


it's DELETEing from test_mol_sequence but the error is against a totally 
different table.  That's postgresql's cascade.

if you want these CASCADEs to remain in place then you'd need to ensure that 
those linked rows can be deleted without any rows being present in the 
association tables.

I can modify your test at the end to fully DELETE these rows without qualifying 
for those that have empty collections only and the script then passes, because 
now it's deleting those rows that would otherwise be dependent on by 
"test_var_region" and therefore "test_mol_sequence",  so there's nothing 
unexpected going on.    Easiest solution here would be to add CASCADE rules to 
the association tables also.  If you want that to be prevented as you mention, 
and instead expect the script to explicitly delete those depending rows, then 
your script is already achieving that.   the "business logic" so to speak in 
this case would be as below:

        orphan_chains = (
            session.query(TestChain).
#            filter(~TestChain.molecules.any()).
            all()
        )
        for chain in orphan_chains:
            session.delete(chain)

        orphan_vrs = (
            session.query(TestVarRegion)
#            .filter(~TestVarRegion.chains.any())
            .all()
        )
        for orphan_vr in orphan_vrs:
            session.delete(orphan_vr)
        orphan_crs = (
            session.query(TestConstRegion)
#           .filter(~TestConstRegion.chains.any())
            .all()
        )
        for orphan_cr in orphan_crs:
            session.delete(orphan_cr)
        orphan_sequences = (
            session.query(TestMolSequence)
#           .filter(~TestMolSequence.chains.any())
            .all()
        )









On Tue, Apr 13, 2021, at 10:03 AM, 
maqui...@gmail.com<mailto:maqui...%40gmail.com> wrote:
I need to delete the association table rows for many to many relationships when 
I delete one, but the default behavior (to remove those rows) does not seem to 
work in my case.

I have multiple levels of many to many relationships, as you can see in the 
example I'll provide below and when I delete a "parent" afterwards I try to 
clean up any children left behind that have no other parents.  However, these 
children are in many to many relationships with other children and that's when 
the ORM fails to attempt to remove those children from their related 
association tables (at least, in a way that I expect).

The issue is error is:
    def do_executemany(self, cursor, statement, parameters, context=None):
        if self.executemany_mode is EXECUTEMANY_DEFAULT:
>           cursor.executemany(statement, parameters)
E           sqlalchemy.exc.IntegrityError: 
(psycopg2.errors.ForeignKeyViolation) update or delete on table 
"test_var_region" violates foreign key constraint 
"test_chain_var_region_var_region_id_fkey" on table "test_chain_var_region"
E           DETAIL:  Key (id)=(1) is still referenced from table 
"test_chain_var_region".
E
E           [SQL: DELETE FROM test_mol_sequence WHERE 
test_mol_sequence.id<http://test_mol_sequence.id> = %(id)s]
E           [parameters: ({'id': 5}, {'id': 6}, {'id': 7}, {'id': 8}, {'id': 
9}, {'id': 10})]
E           (Background on this error at: http://sqlalche.me/e/gkpj)

The desired effect, of course, is that the rows in test_chain_var_region that 
reference the deleted chains removed.  I've tried several strategies to do this 
but with no change in this behavior.

Cascades could be an issue, and I would rather handle removal of any "orphan" 
rows in the model tables via business logic than have the database cascade 
deletes and potentially remove rows that are associated with other objects.

import pytest
from sqlalchemy import (
Table,
Column,
Integer,
String,
ForeignKey,
create_engine,
)
from sqlalchemy.ext.declarative import declarative_base, DeclarativeMeta
from sqlalchemy.orm import relationship, Session
from sqlalchemy.util import OrderedSet


Base: DeclarativeMeta = declarative_base()
engine = create_engine(
"postgresql://postgres:postgres@localhost:5432/espresso", echo=True
)
test_chain_const_region = Table(
"test_chain_const_region",
Base.metadata,
Column("chain_id", Integer, ForeignKey("test_chain.id<http://test_chain.id>")),
Column("const_region_id", Integer, 
ForeignKey("test_const_region.id<http://test_const_region.id>")),
)
test_chain_var_region = Table(
"test_chain_var_region",
Base.metadata,
Column("chain_id", Integer, ForeignKey("test_chain.id<http://test_chain.id>")),
Column("var_region_id", Integer, 
ForeignKey("test_var_region.id<http://test_var_region.id>")),
)
test_molecule_chain = Table(
"test_molecule_chain",
Base.metadata,
Column("molecule_id", Integer, 
ForeignKey("test_molecule.id<http://test_molecule.id>")),
Column("chain_id", Integer, ForeignKey("test_chain.id<http://test_chain.id>")),
)

test_mol_sequence_feat_mol_sequence = Table(
"test_mol_sequence_feat_mol_sequence",
Base.metadata,
Column("mol_sequence_feat_id", Integer, 
ForeignKey("test_mol_sequence_feat.id<http://test_mol_sequence_feat.id>")),
Column("mol_sequence_id", Integer, 
ForeignKey("test_mol_sequence.id<http://test_mol_sequence.id>")),
)


class TestMolecule(Base):
__tablename__ = "test_molecule"
id = Column(Integer, primary_key=True)
label = Column(String)
chains = relationship(
"TestChain",
secondary=test_molecule_chain,
collection_class=OrderedSet,
back_populates="molecules",
)


class TestMolSequence(Base):
__tablename__ = "test_mol_sequence"

id = Column(Integer, primary_key=True)
content = Column(String, nullable=False, unique=True)
parent_features = relationship(
"TestMolSequenceFeat",
secondary=test_mol_sequence_feat_mol_sequence,
collection_class=OrderedSet,
back_populates="feature_sequences",
single_parent=True,
)
chains = relationship(
"TestChain", back_populates="mol_sequence", collection_class=OrderedSet
)


class TestMolSequenceFeat(Base):
__tablename__ = "test_mol_sequence_feat"

id = Column(Integer, primary_key=True)
molecule_sequence_id = Column(
Integer, ForeignKey("test_mol_sequence.id<http://test_mol_sequence.id>", 
ondelete="CASCADE"),
)
molecule_sequence = relationship("TestMolSequence",)
start = Column(Integer)
stop = Column(Integer)
feature_sequences = relationship(
"TestMolSequence",
secondary=test_mol_sequence_feat_mol_sequence,
collection_class=OrderedSet,
back_populates="parent_features",
# single_parent=True,
)


class TestChain(Base):
__tablename__ = "test_chain"

id = Column(Integer, primary_key=True)
label = Column(String)
chain_type = Column(String)
mol_sequence_id = Column(Integer, 
ForeignKey("test_mol_sequence.id<http://test_mol_sequence.id>"))
mol_sequence = relationship("TestMolSequence", back_populates="chains")
molecules = relationship(
"TestMolecule",
secondary=test_molecule_chain,
collection_class=OrderedSet,
back_populates="chains",
)
var_regions = relationship(
"TestVarRegion",
secondary=test_chain_var_region,
collection_class=OrderedSet,
back_populates="chains",
)
const_regions = relationship(
"TestConstRegion",
secondary=test_chain_const_region,
collection_class=OrderedSet,
back_populates="chains",
)


class TestVarRegion(Base):
__tablename__ = "test_var_region"

id = Column(Integer, primary_key=True)
molecule_sequence_id = Column(
Integer, ForeignKey("test_mol_sequence.id<http://test_mol_sequence.id>", 
ondelete="CASCADE"),
)
description = Column(String)
additional_information = Column(String)
label = Column("label", String, nullable=True, unique=False)
molecule_sequence = relationship("TestMolSequence")
chains = relationship(
"TestChain",
secondary=test_chain_var_region,
collection_class=OrderedSet,
back_populates="var_regions",
passive_deletes=True,
)


class TestConstRegion(Base):
__tablename__ = "test_const_region"

id = Column(Integer, primary_key=True)
molecule_sequence_id = Column(
Integer, ForeignKey("test_mol_sequence.id<http://test_mol_sequence.id>", 
ondelete="CASCADE"),
)
description = Column(String)
additional_information = Column(String)
label = Column("label", String, nullable=True, unique=False)
molecule_sequence = relationship("TestMolSequence")
chains = relationship(
"TestChain",
secondary=test_chain_const_region,
collection_class=OrderedSet,
back_populates="const_regions",
passive_deletes=True,
)


class TestManyToMany:
@pytest.fixture
def engine(self):
return create_engine(
"postgresql://postgres:postgres@localhost:5432/espresso", echo=True
)

@pytest.fixture
def session(self):
"""Returns an sqlalchemy session, and after the test tears down everything 
properly."""
connection = engine.connect()
# begin the nested transaction
transaction = connection.begin()
# use the connection with the already started transaction
session = Session(bind=connection)

yield session

session.close()
# roll back the broader transaction
transaction.commit()
# put back the connection to the connection pool
connection.close()

@pytest.mark.create_m2m_models
def test_create_m2m_models(self, engine):

Base.metadata.drop_all(bind=engine)
Base.metadata.create_all(bind=engine)

@pytest.mark.seed_m2m_data
def test_m2m_seeding_data(self, engine, session):

molecule1 = TestMolecule(label="molecule1")
molecule2 = TestMolecule(label="molecule2")
molecule3 = TestMolecule(label="molecule3")
molecule4 = TestMolecule(label="molecule4")
light_chain_1_sequence = TestMolSequence(content="taglconst1VAR1")
heavy_chain_1_sequence = TestMolSequence(content="tagheavyconstant1VAR2")
heavy_chain_2_sequence = TestMolSequence(content="tagheavyconstant2VAR2")
light_chain_2_sequence = TestMolSequence(content="taglconst1VAR3")
heavy_chain_1 = TestChain(
chain_type="heavy", mol_sequence=light_chain_1_sequence
)
light_chain_1 = TestChain(
chain_type="light", mol_sequence=heavy_chain_1_sequence
)
light_chain_2 = TestChain(
chain_type="light", mol_sequence=light_chain_2_sequence
)
heavy_chain_2 = TestChain(
chain_type="heavy", mol_sequence=heavy_chain_2_sequence
)

molecule1.chains.add(heavy_chain_1)
molecule1.chains.add(light_chain_1)
molecule2.chains.add(heavy_chain_2)
molecule2.chains.add(light_chain_2)
molecule3.chains.add(heavy_chain_1)
molecule3.chains.add(light_chain_2)
molecule4.chains.add(heavy_chain_2)
molecule4.chains.add(light_chain_1)

tag_sequence = TestMolSequence(content="tag")
light_constant_region_seq = TestMolSequence(content="lconst1")
heavy_constant_region_1_seq = TestMolSequence(content="heavyconstant1")
heavy_constant_region_2_seq = TestMolSequence(content="heavyconstant2")
vr1_seq = TestMolSequence(content="VAR1")
vr2_seq = TestMolSequence(content="VAR2")
vr3_seq = TestMolSequence(content="VAR3")
# lc2_const_region_seq = TestMolSequence(content="lconst")
lc1_tag_feature = TestMolSequenceFeat(
start=0, stop=3, molecule_sequence=light_chain_1_sequence
)
lc1_const_region_feature = TestMolSequenceFeat(
start=3, stop=10, molecule_sequence=light_chain_1_sequence
)
lc1_var_region_feature = TestMolSequenceFeat(
start=10, stop=14, molecule_sequence=light_chain_1_sequence
)
hc1_tag_feature = TestMolSequenceFeat(
start=0, stop=3, molecule_sequence=heavy_chain_1_sequence
)
hc1_const_region_feature = TestMolSequenceFeat(
start=3, stop=17, molecule_sequence=heavy_chain_1_sequence
)
hc1_var_region_feature = TestMolSequenceFeat(
start=17, stop=21, molecule_sequence=heavy_chain_1_sequence
)

hc2_tag_feature = TestMolSequenceFeat(
start=0, stop=3, molecule_sequence=heavy_chain_2_sequence
)
hc2_const_region_feature = TestMolSequenceFeat(
start=3, stop=17, molecule_sequence=heavy_chain_2_sequence
)
hc2_var_region_feature = TestMolSequenceFeat(
start=17, stop=21, molecule_sequence=heavy_chain_2_sequence
)

lc2_tag_feature = TestMolSequenceFeat(
start=0, stop=3, molecule_sequence=light_chain_2_sequence
)
lc2_const_region_feature = TestMolSequenceFeat(
start=3, stop=10, molecule_sequence=light_chain_2_sequence
)
lc2_var_region_feature = TestMolSequenceFeat(
start=10, stop=14, molecule_sequence=light_chain_2_sequence
)
var_region1 = TestVarRegion(molecule_sequence=vr1_seq)
var_region2 = TestVarRegion(molecule_sequence=vr2_seq)
var_region3 = TestVarRegion(molecule_sequence=vr3_seq)
const_region1 = TestConstRegion(molecule_sequence=light_constant_region_seq)
const_region2 = TestConstRegion(molecule_sequence=heavy_constant_region_1_seq)
const_region3 = TestConstRegion(molecule_sequence=heavy_constant_region_2_seq)

light_chain_1.var_regions.add(var_region1)
heavy_chain_1.var_regions.add(var_region2)
heavy_chain_2.var_regions.add(var_region2)
light_chain_2.var_regions.add(var_region3)

light_chain_1.const_regions.add(const_region1)
light_chain_2.const_regions.add(const_region1)
heavy_chain_1.const_regions.add(const_region2)
heavy_chain_2.const_regions.add(const_region3)

lc1_tag_feature.feature_sequences.add(tag_sequence)
lc1_var_region_feature.feature_sequences.add(vr1_seq)
lc1_const_region_feature.feature_sequences.add(light_constant_region_seq)

hc1_tag_feature.feature_sequences.add(tag_sequence)
hc1_var_region_feature.feature_sequences.add(vr2_seq)
hc1_const_region_feature.feature_sequences.add(heavy_constant_region_1_seq)

lc2_tag_feature.feature_sequences.add(tag_sequence)
lc2_var_region_feature.feature_sequences.add(vr3_seq)
lc2_const_region_feature.feature_sequences.add(light_constant_region_seq)

hc2_tag_feature.feature_sequences.add(tag_sequence)
hc2_var_region_feature.feature_sequences.add(vr2_seq)
hc2_const_region_feature.feature_sequences.add(heavy_constant_region_2_seq)

session.add_all(
[
heavy_chain_1,
light_chain_1,
light_chain_2,
heavy_chain_2,
molecule1,
molecule2,
molecule3,
molecule4,
# tag_sequence,
# lc1_tag_feature,
# lc1_const_region_feature,
# hc1_tag_feature,
# hc1_var_region_feature,
# lc1_tag_feature,
# lc2_const_region_feature,
]
)
session.commit()

@pytest.mark.delete_test_m2m_models
def test_create_m2m(self, session):
molecule = session.query(TestMolecule).filter_by(label="molecule1").one()
session.delete(molecule)
session.query(TestChain).filter(~TestChain.molecules.any()).delete(
synchronize_session="fetch"
)
session.expire_all()
orphan_chains = (
session.query(TestChain).filter(~TestChain.molecules.any()).all()
)
for chain in orphan_chains:
session.delete(chain)
orphan_vrs = (
session.query(TestVarRegion).filter(~TestVarRegion.chains.any()).all()
)
for orphan_vr in orphan_vrs:
session.delete(orphan_vr)
orphan_crs = (
session.query(TestConstRegion)
.filter(~TestConstRegion.chains.any())
.all()
)
for orphan_cr in orphan_crs:
session.delete(orphan_cr)
orphan_sequences = (
session.query(TestMolSequence).filter(~TestMolSequence.chains.any()).all()
)
orphan_sequence: TestMolSequence
for orphan_sequence in orphan_sequences:
session.delete(orphan_sequence)
session.commit()


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