# ext/serializer.py
# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php

"""Serializer/Deserializer objects for usage with SQLAlchemy query structures,
allowing "contextual" deserialization.

Any SQLAlchemy query structure, either based on sqlalchemy.sql.*
or sqlalchemy.orm.* can be used.  The mappers, Tables, Columns, Session
etc. which are referenced by the structure are not persisted in serialized
form, but are instead re-associated with the query structure
when it is deserialized.

.. warning:: The serializer extension uses pickle to serialize and
   deserialize objects, so the same security consideration mentioned
   in the `python documentation
   <https://docs.python.org/3/library/pickle.html>`_ apply.

Usage is nearly the same as that of the standard Python pickle module::

    from sqlalchemy.ext.serializer import loads, dumps
    metadata = MetaData(bind=some_engine)
    Session = scoped_session(sessionmaker())

    # ... define mappers

    query = Session.query(MyClass).
        filter(MyClass.somedata=='foo').order_by(MyClass.sortkey)

    # pickle the query
    serialized = dumps(query)

    # unpickle.  Pass in metadata + scoped_session
    query2 = loads(serialized, metadata, Session)

    print query2.all()

Similar restrictions as when using raw pickle apply; mapped classes must be
themselves be pickleable, meaning they are importable from a module-level
namespace.

The serializer module is only appropriate for query structures.  It is not
needed for:

* instances of user-defined classes.   These contain no references to engines,
  sessions or expression constructs in the typical case and can be serialized
  directly.

* Table metadata that is to be loaded entirely from the serialized structure
  (i.e. is not already declared in the application).   Regular
  pickle.loads()/dumps() can be used to fully dump any ``MetaData`` object,
  typically one which was reflected from an existing database at some previous
  point in time.  The serializer module is specifically for the opposite case,
  where the Table metadata is already present in memory.

"""

import re

from .. import Column
from .. import Table
from ..engine import Engine
from ..orm import class_mapper
from ..orm.interfaces import MapperProperty
from ..orm.mapper import Mapper
from ..orm.session import Session
from ..util import b64decode
from ..util import b64encode
from ..util import byte_buffer
from ..util import pickle
from ..util import py2k
from ..util import text_type

__all__ = ["Serializer", "Deserializer", "dumps", "loads"]


if py2k:

    def Serializer(*args, **kw):
        pickler = pickle.Pickler(*args, **kw)

        def persistent_id(obj):
            # print "serializing:", repr(obj)
            if isinstance(obj, Mapper) and not obj.non_primary:
                id_ = "mapper:" + b64encode(pickle.dumps(obj.class_))
            elif (
                isinstance(obj, MapperProperty) and not obj.parent.non_primary
            ):
                id_ = (
                    "mapperprop:"
                    + b64encode(pickle.dumps(obj.parent.class_))
                    + ":"
                    + obj.key
                )
            elif isinstance(obj, Table):
                if "parententity" in obj._annotations:
                    id_ = "mapper_selectable:" + b64encode(
                        pickle.dumps(obj._annotations["parententity"].class_)
                    )
                else:
                    id_ = "table:" + text_type(obj.key)
            elif isinstance(obj, Column) and isinstance(obj.table, Table):
                id_ = (
                    "column:"
                    + text_type(obj.table.key)
                    + ":"
                    + text_type(obj.key)
                )
            elif isinstance(obj, Session):
                id_ = "session:"
            elif isinstance(obj, Engine):
                id_ = "engine:"
            else:
                return None
            return id_

        pickler.persistent_id = persistent_id
        return pickler

    our_ids = re.compile(
        r"(mapperprop|mapper|mapper_selectable|table|column|"
        r"session|attribute|engine):(.*)"
    )

    def Deserializer(file, metadata=None, scoped_session=None, engine=None):
        unpickler = pickle.Unpickler(file)

        def get_engine():
            if engine:
                return engine
            elif scoped_session and scoped_session().bind:
                return scoped_session().bind
            elif metadata and metadata.bind:
                return metadata.bind
            else:
                return None

        def persistent_load(id_):
            m = our_ids.match(text_type(id_))
            if not m:
                return None
            else:
                type_, args = m.group(1, 2)
                if type_ == "attribute":
                    key, clsarg = args.split(":")
                    cls = pickle.loads(b64decode(clsarg))
                    return getattr(cls, key)
                elif type_ == "mapper":
                    cls = pickle.loads(b64decode(args))
                    return class_mapper(cls)
                elif type_ == "mapper_selectable":
                    cls = pickle.loads(b64decode(args))
                    return class_mapper(cls).__clause_element__()
                elif type_ == "mapperprop":
                    mapper, keyname = args.split(":")
                    cls = pickle.loads(b64decode(mapper))
                    return class_mapper(cls).attrs[keyname]
                elif type_ == "table":
                    return metadata.tables[args]
                elif type_ == "column":
                    table, colname = args.split(":")
                    return metadata.tables[table].c[colname]
                elif type_ == "session":
                    return scoped_session()
                elif type_ == "engine":
                    return get_engine()
                else:
                    raise Exception("Unknown token: %s" % type_)

        unpickler.persistent_load = persistent_load
        return unpickler


else:

    class Serializer(pickle.Pickler):
        def persistent_id(self, obj):
            # print "serializing:", repr(obj)
            if isinstance(obj, Mapper) and not obj.non_primary:
                id_ = "mapper:" + b64encode(pickle.dumps(obj.class_))
            elif (
                isinstance(obj, MapperProperty) and not obj.parent.non_primary
            ):
                id_ = (
                    "mapperprop:"
                    + b64encode(pickle.dumps(obj.parent.class_))
                    + ":"
                    + obj.key
                )
            elif isinstance(obj, Table):
                if "parententity" in obj._annotations:
                    id_ = "mapper_selectable:" + b64encode(
                        pickle.dumps(obj._annotations["parententity"].class_)
                    )
                else:
                    id_ = "table:" + text_type(obj.key)
            elif isinstance(obj, Column) and isinstance(obj.table, Table):
                id_ = (
                    "column:"
                    + text_type(obj.table.key)
                    + ":"
                    + text_type(obj.key)
                )
            elif isinstance(obj, Session):
                id_ = "session:"
            elif isinstance(obj, Engine):
                id_ = "engine:"
            else:
                return None
            return id_

    our_ids = re.compile(
        r"(mapperprop|mapper|mapper_selectable|table|column|"
        r"session|attribute|engine):(.*)"
    )

    class Deserializer(pickle.Unpickler):
        def __init__(
            self, file, metadata=None, scoped_session=None, engine=None
        ):
            super().__init__(file)
            self.metadata = metadata
            self.scoped_session = scoped_session
            self.engine = engine

        def get_engine(self):
            if self.engine:
                return self.engine
            elif self.scoped_session and self.scoped_session().bind:
                return self.scoped_session().bind
            elif self.metadata and self.metadata.bind:
                return self.metadata.bind
            else:
                return None

        def persistent_load(self, id_):
            m = our_ids.match(text_type(id_))
            if not m:
                return None
            else:
                type_, args = m.group(1, 2)
                if type_ == "attribute":
                    key, clsarg = args.split(":")
                    cls = pickle.loads(b64decode(clsarg))
                    return getattr(cls, key)
                elif type_ == "mapper":
                    cls = pickle.loads(b64decode(args))
                    return class_mapper(cls)
                elif type_ == "mapper_selectable":
                    cls = pickle.loads(b64decode(args))
                    return class_mapper(cls).__clause_element__()
                elif type_ == "mapperprop":
                    mapper, keyname = args.split(":")
                    cls = pickle.loads(b64decode(mapper))
                    return class_mapper(cls).attrs[keyname]
                elif type_ == "table":
                    return self.metadata.tables[args]
                elif type_ == "column":
                    table, colname = args.split(":")
                    return self.metadata.tables[table].c[colname]
                elif type_ == "session":
                    return self.scoped_session()
                elif type_ == "engine":
                    return self.get_engine()
                else:
                    raise Exception("Unknown token: %s" % type_)


def dumps(obj, protocol=pickle.HIGHEST_PROTOCOL):
    buf = byte_buffer()
    pickler = Serializer(buf, protocol)
    pickler.dump(obj)
    return buf.getvalue()


def loads(data, metadata=None, scoped_session=None, engine=None):
    buf = byte_buffer(data)
    unpickler = Deserializer(buf, metadata, scoped_session, engine)
    return unpickler.load()
