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[EDIT] FILE: hstore.py

# postgresql/hstore.py
# Copyright (C) 2005-2021 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php

import re

from .array import ARRAY
from ... import types as sqltypes
from ... import util
from ...sql import functions as sqlfunc
from ...sql import operators

__all__ = ("HSTORE", "hstore")

idx_precedence = operators._PRECEDENCE[operators.json_getitem_op]

GETITEM = operators.custom_op(
    "->",
    precedence=idx_precedence,
    natural_self_precedent=True,
    eager_grouping=True,
)

HAS_KEY = operators.custom_op(
    "?",
    precedence=idx_precedence,
    natural_self_precedent=True,
    eager_grouping=True,
)

HAS_ALL = operators.custom_op(
    "?&",
    precedence=idx_precedence,
    natural_self_precedent=True,
    eager_grouping=True,
)

HAS_ANY = operators.custom_op(
    "?|",
    precedence=idx_precedence,
    natural_self_precedent=True,
    eager_grouping=True,
)

CONTAINS = operators.custom_op(
    "@>",
    precedence=idx_precedence,
    natural_self_precedent=True,
    eager_grouping=True,
)

CONTAINED_BY = operators.custom_op(
    "<@",
    precedence=idx_precedence,
    natural_self_precedent=True,
    eager_grouping=True,
)

class HSTORE(sqltypes.Indexable, sqltypes.Concatenable, sqltypes.TypeEngine):
    """Represent the PostgreSQL HSTORE type.

The :class:`.HSTORE` type stores dictionaries containing strings, e.g.::

data_table = Table('data_table', metadata,
            Column('id', Integer, primary_key=True),
            Column('data', HSTORE)
        )

with engine.connect() as conn:
            conn.execute(
                data_table.insert(),
                data = {"key1": "value1", "key2": "value2"}
            )

:class:`.HSTORE` provides for a wide range of operations, including:

* Index operations::

data_table.c.data['some key'] == 'some value'

* Containment operations::

data_table.c.data.has_key('some key')

data_table.c.data.has_all(['one', 'two', 'three'])

* Concatenation::

data_table.c.data + {"k1": "v1"}

For a full list of special methods see
    :class:`.HSTORE.comparator_factory`.

For usage with the SQLAlchemy ORM, it may be desirable to combine
    the usage of :class:`.HSTORE` with :class:`.MutableDict` dictionary
    now part of the :mod:`sqlalchemy.ext.mutable`
    extension.  This extension will allow "in-place" changes to the
    dictionary, e.g. addition of new keys or replacement/removal of existing
    keys to/from the current dictionary, to produce events which will be
    detected by the unit of work::

from sqlalchemy.ext.mutable import MutableDict

class MyClass(Base):
            __tablename__ = 'data_table'

id = Column(Integer, primary_key=True)
            data = Column(MutableDict.as_mutable(HSTORE))

my_object = session.query(MyClass).one()

# in-place mutation, requires Mutable extension
        # in order for the ORM to detect
        my_object.data['some_key'] = 'some value'

session.commit()

When the :mod:`sqlalchemy.ext.mutable` extension is not used, the ORM
    will not be alerted to any changes to the contents of an existing
    dictionary, unless that dictionary value is re-assigned to the
    HSTORE-attribute itself, thus generating a change event.

.. seealso::

:class:`.hstore` - render the PostgreSQL ``hstore()`` function.

"""

__visit_name__ = "HSTORE"
    hashable = False
    text_type = sqltypes.Text()

def __init__(self, text_type=None):
        """Construct a new :class:`.HSTORE`.

:param text_type: the type that should be used for indexed values.
         Defaults to :class:`_types.Text`.

.. versionadded:: 1.1.0

"""
        if text_type is not None:
            self.text_type = text_type

class Comparator(
        sqltypes.Indexable.Comparator, sqltypes.Concatenable.Comparator
    ):
        """Define comparison operations for :class:`.HSTORE`."""

def has_key(self, other):
            """Boolean expression.  Test for presence of a key.  Note that the
            key may be a SQLA expression.
            """
            return self.operate(HAS_KEY, other, result_type=sqltypes.Boolean)

def has_all(self, other):
            """Boolean expression.  Test for presence of all keys in jsonb"""
            return self.operate(HAS_ALL, other, result_type=sqltypes.Boolean)

def has_any(self, other):
            """Boolean expression.  Test for presence of any key in jsonb"""
            return self.operate(HAS_ANY, other, result_type=sqltypes.Boolean)

def contains(self, other, **kwargs):
            """Boolean expression.  Test if keys (or array) are a superset
            of/contained the keys of the argument jsonb expression.
            """
            return self.operate(CONTAINS, other, result_type=sqltypes.Boolean)

def contained_by(self, other):
            """Boolean expression.  Test if keys are a proper subset of the
            keys of the argument jsonb expression.
            """
            return self.operate(
                CONTAINED_BY, other, result_type=sqltypes.Boolean
            )

def _setup_getitem(self, index):
            return GETITEM, index, self.type.text_type

def defined(self, key):
            """Boolean expression.  Test for presence of a non-NULL value for
            the key.  Note that the key may be a SQLA expression.
            """
            return _HStoreDefinedFunction(self.expr, key)

def delete(self, key):
            """HStore expression.  Returns the contents of this hstore with the
            given key deleted.  Note that the key may be a SQLA expression.
            """
            if isinstance(key, dict):
                key = _serialize_hstore(key)
            return _HStoreDeleteFunction(self.expr, key)

def slice(self, array):
            """HStore expression.  Returns a subset of an hstore defined by
            array of keys.
            """
            return _HStoreSliceFunction(self.expr, array)

def keys(self):
            """Text array expression.  Returns array of keys."""
            return _HStoreKeysFunction(self.expr)

def vals(self):
            """Text array expression.  Returns array of values."""
            return _HStoreValsFunction(self.expr)

def array(self):
            """Text array expression.  Returns array of alternating keys and
            values.
            """
            return _HStoreArrayFunction(self.expr)

def matrix(self):
            """Text array expression.  Returns array of [key, value] pairs."""
            return _HStoreMatrixFunction(self.expr)

comparator_factory = Comparator

def bind_processor(self, dialect):
        if util.py2k:
            encoding = dialect.encoding

def process(value):
                if isinstance(value, dict):
                    return _serialize_hstore(value).encode(encoding)
                else:
                    return value

else:

def process(value):
                if isinstance(value, dict):
                    return _serialize_hstore(value)
                else:
                    return value

return process

def result_processor(self, dialect, coltype):
        if util.py2k:
            encoding = dialect.encoding

def process(value):
                if value is not None:
                    return _parse_hstore(value.decode(encoding))
                else:
                    return value

else:

def process(value):
                if value is not None:
                    return _parse_hstore(value)
                else:
                    return value

return process

class hstore(sqlfunc.GenericFunction):
    """Construct an hstore value within a SQL expression using the
    PostgreSQL ``hstore()`` function.

The :class:`.hstore` function accepts one or two arguments as described
    in the PostgreSQL documentation.

E.g.::

from sqlalchemy.dialects.postgresql import array, hstore

select([hstore('key1', 'value1')])

select([
                hstore(
                    array(['key1', 'key2', 'key3']),
                    array(['value1', 'value2', 'value3'])
                )
            ])

.. seealso::

:class:`.HSTORE` - the PostgreSQL ``HSTORE`` datatype.

"""

type = HSTORE
    name = "hstore"

class _HStoreDefinedFunction(sqlfunc.GenericFunction):
    type = sqltypes.Boolean
    name = "defined"

class _HStoreDeleteFunction(sqlfunc.GenericFunction):
    type = HSTORE
    name = "delete"

class _HStoreSliceFunction(sqlfunc.GenericFunction):
    type = HSTORE
    name = "slice"

class _HStoreKeysFunction(sqlfunc.GenericFunction):
    type = ARRAY(sqltypes.Text)
    name = "akeys"

class _HStoreValsFunction(sqlfunc.GenericFunction):
    type = ARRAY(sqltypes.Text)
    name = "avals"

class _HStoreArrayFunction(sqlfunc.GenericFunction):
    type = ARRAY(sqltypes.Text)
    name = "hstore_to_array"

class _HStoreMatrixFunction(sqlfunc.GenericFunction):
    type = ARRAY(sqltypes.Text)
    name = "hstore_to_matrix"

#
# parsing.  note that none of this is used with the psycopg2 backend,
# which provides its own native extensions.
#

# My best guess at the parsing rules of hstore literals, since no formal
# grammar is given.  This is mostly reverse engineered from PG's input parser
# behavior.
HSTORE_PAIR_RE = re.compile(
    r"""
(
  "(?P<key> (\\ . | [^"])* )"       # Quoted key
)
[ ]* => [ ]*    # Pair operator, optional adjoining whitespace
(
    (?P<value_null> NULL )          # NULL value
  | "(?P<value> (\\ . | [^"])* )"   # Quoted value
)
""",
    re.VERBOSE,
)

HSTORE_DELIMITER_RE = re.compile(
    r"""
[ ]* , [ ]*
""",
    re.VERBOSE,
)

def _parse_error(hstore_str, pos):
    """format an unmarshalling error."""

ctx = 20
    hslen = len(hstore_str)

parsed_tail = hstore_str[max(pos - ctx - 1, 0) : min(pos, hslen)]
    residual = hstore_str[min(pos, hslen) : min(pos + ctx + 1, hslen)]

if len(parsed_tail) > ctx:
        parsed_tail = "[...]" + parsed_tail[1:]
    if len(residual) > ctx:
        residual = residual[:-1] + "[...]"

return "After %r, could not parse residual at position %d: %r" % (
        parsed_tail,
        pos,
        residual,
    )

def _parse_hstore(hstore_str):
    """Parse an hstore from its literal string representation.

Attempts to approximate PG's hstore input parsing rules as closely as
    possible. Although currently this is not strictly necessary, since the
    current implementation of hstore's output syntax is stricter than what it
    accepts as input, the documentation makes no guarantees that will always
    be the case.

"""
    result = {}
    pos = 0
    pair_match = HSTORE_PAIR_RE.match(hstore_str)

while pair_match is not None:
        key = pair_match.group("key").replace(r"\"", '"').replace("\\\\", "\\")
        if pair_match.group("value_null"):
            value = None
        else:
            value = (
                pair_match.group("value")
                .replace(r"\"", '"')
                .replace("\\\\", "\\")
            )
        result[key] = value

pos += pair_match.end()

delim_match = HSTORE_DELIMITER_RE.match(hstore_str[pos:])
        if delim_match is not None:
            pos += delim_match.end()

pair_match = HSTORE_PAIR_RE.match(hstore_str[pos:])

if pos != len(hstore_str):
        raise ValueError(_parse_error(hstore_str, pos))

return result

def _serialize_hstore(val):
    """Serialize a dictionary into an hstore literal.  Keys and values must
    both be strings (except None for values).

"""

def esc(s, position):
        if position == "value" and s is None:
            return "NULL"
        elif isinstance(s, util.string_types):
            return '"%s"' % s.replace("\\", "\\\\").replace('"', r"\"")
        else:
            raise ValueError(
                "%r in %s position is not a string." % (s, position)
            )

return ", ".join(
        "%s=>%s" % (esc(k, "key"), esc(v, "value")) for k, v in val.items()
    )

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