# -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# #
# The code is hosted on GitHub at https://github.com/aiidateam/aiida-core #
# For further information on the license, see the LICENSE.txt file #
# For further information please visit http://www.aiida.net #
###########################################################################
"""Sqla query builder implementation"""
# pylint: disable=no-name-in-module, import-error
from sqlalchemy import and_, or_, not_
from sqlalchemy.types import Float, Boolean
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.sql.expression import case, FunctionElement
from sqlalchemy.ext.compiler import compiles
from aiida.common.exceptions import InputValidationError
from aiida.common.exceptions import NotExistent
from aiida.orm.implementation.querybuilder import BackendQueryBuilder
[docs]class jsonb_array_length(FunctionElement): # pylint: disable=invalid-name
# pylint: disable=too-few-public-methods
name = 'jsonb_array_len'
@compiles(jsonb_array_length)
def compile(element, compiler, **_kw): # pylint: disable=function-redefined, redefined-builtin
"""
Get length of array defined in a JSONB column
"""
return 'jsonb_array_length(%s)' % compiler.process(element.clauses)
[docs]class array_length(FunctionElement): # pylint: disable=invalid-name
# pylint: disable=too-few-public-methods
name = 'array_len'
@compiles(array_length)
def compile(element, compiler, **_kw): # pylint: disable=function-redefined
"""
Get length of array defined in a JSONB column
"""
return 'array_length(%s)' % compiler.process(element.clauses)
[docs]class jsonb_typeof(FunctionElement): # pylint: disable=invalid-name
# pylint: disable=too-few-public-methods
name = 'jsonb_typeof'
[docs]@compiles(jsonb_typeof)
def compile(element, compiler, **_kw): # pylint: disable=function-redefined
"""
Get length of array defined in a JSONB column
"""
return 'jsonb_typeof(%s)' % compiler.process(element.clauses)
[docs]class SqlaQueryBuilder(BackendQueryBuilder):
"""
QueryBuilder to use with SQLAlchemy-backend and
schema defined in backends.sqlalchemy.models
"""
# pylint: disable=redefined-outer-name, too-many-public-methods
[docs] def __init__(self, backend):
BackendQueryBuilder.__init__(self, backend)
self.outer_to_inner_schema['db_dbcomputer'] = {'metadata': '_metadata'}
self.outer_to_inner_schema['db_dblog'] = {'metadata': '_metadata'}
self.inner_to_outer_schema['db_dbcomputer'] = {'_metadata': 'metadata'}
self.inner_to_outer_schema['db_dblog'] = {'_metadata': 'metadata'}
@property
def Node(self):
import aiida.backends.sqlalchemy.models.node
return aiida.backends.sqlalchemy.models.node.DbNode
@property
def Link(self):
import aiida.backends.sqlalchemy.models.node
return aiida.backends.sqlalchemy.models.node.DbLink
@property
def Computer(self):
import aiida.backends.sqlalchemy.models.computer
return aiida.backends.sqlalchemy.models.computer.DbComputer
@property
def User(self):
import aiida.backends.sqlalchemy.models.user
return aiida.backends.sqlalchemy.models.user.DbUser
@property
def Group(self):
import aiida.backends.sqlalchemy.models.group
return aiida.backends.sqlalchemy.models.group.DbGroup
@property
def AuthInfo(self):
import aiida.backends.sqlalchemy.models.authinfo
return aiida.backends.sqlalchemy.models.authinfo.DbAuthInfo
@property
def Comment(self):
import aiida.backends.sqlalchemy.models.comment
return aiida.backends.sqlalchemy.models.comment.DbComment
@property
def Log(self):
import aiida.backends.sqlalchemy.models.log
return aiida.backends.sqlalchemy.models.log.DbLog
@property
def table_groups_nodes(self):
import aiida.backends.sqlalchemy.models.group
return aiida.backends.sqlalchemy.models.group.table_groups_nodes
[docs] def modify_expansions(self, alias, expansions):
"""
In SQLA, the metadata should be changed to _metadata to be in-line with the database schema
"""
# pylint: disable=protected-access
# The following check is added to avoided unnecessary calls to get_inner_property for QB edge queries
# The update of expansions makes sense only when AliasedClass is provided
if hasattr(alias, '_sa_class_manager'):
if '_metadata' in expansions:
raise NotExistent("_metadata doesn't exist for {}. Please try metadata.".format(alias))
return self.get_corresponding_properties(alias.__tablename__, expansions, self.outer_to_inner_schema)
return expansions
[docs] def get_filter_expr(self, operator, value, attr_key, is_attribute, alias=None, column=None, column_name=None):
"""
Applies a filter on the alias given.
Expects the alias of the ORM-class on which to filter, and filter_spec.
Filter_spec contains the specification on the filter.
Expects:
:param operator: The operator to apply, see below for further details
:param value:
The value for the right side of the expression,
the value you want to compare with.
:param path: The path leading to the value
:param attr_key: Boolean, whether the value is in a json-column,
or in an attribute like table.
Implemented and valid operators:
* for any type:
* == (compare single value, eg: '==':5.0)
* in (compare whether in list, eg: 'in':[5, 6, 34]
* for floats and integers:
* >
* <
* <=
* >=
* for strings:
* like (case - sensitive), for example
'like':'node.calc.%' will match node.calc.relax and
node.calc.RELAX and node.calc. but
not node.CALC.relax
* ilike (case - unsensitive)
will also match node.CaLc.relax in the above example
.. note::
The character % is a reserved special character in SQL,
and acts as a wildcard. If you specifically
want to capture a ``%`` in the string, use: ``_%``
* for arrays and dictionaries (only for the
SQLAlchemy implementation):
* contains: pass a list with all the items that
the array should contain, or that should be among
the keys, eg: 'contains': ['N', 'H'])
* has_key: pass an element that the list has to contain
or that has to be a key, eg: 'has_key':'N')
* for arrays only (SQLAlchemy version):
* of_length
* longer
* shorter
All the above filters invoke a negation of the
expression if preceded by **~**::
# first example:
filter_spec = {
'name' : {
'~in':[
'halle',
'lujah'
]
} # Name not 'halle' or 'lujah'
}
# second example:
filter_spec = {
'id' : {
'~==': 2
}
} # id is not 2
"""
# pylint: disable=too-many-arguments, too-many-branches
expr = None
if operator.startswith('~'):
negation = True
operator = operator.lstrip('~')
elif operator.startswith('!'):
negation = True
operator = operator.lstrip('!')
else:
negation = False
if operator in ('longer', 'shorter', 'of_length'):
if not isinstance(value, int):
raise InputValidationError('You have to give an integer when comparing to a length')
elif operator in ('like', 'ilike'):
if not isinstance(value, str):
raise InputValidationError(
'Value for operator {} has to be a string (you gave {})'
''.format(operator, value)
)
elif operator == 'in':
try:
value_type_set = set(type(i) for i in value)
except TypeError:
raise TypeError('Value for operator `in` could not be iterated')
if not value_type_set:
raise InputValidationError('Value for operator `in` is an empty list')
if len(value_type_set) > 1:
raise InputValidationError('Value for operator `in` contains more than one type: {}'.format(value))
elif operator in ('and', 'or'):
expressions_for_this_path = []
for filter_operation_dict in value:
for newoperator, newvalue in filter_operation_dict.items():
expressions_for_this_path.append(
self.get_filter_expr(
newoperator,
newvalue,
attr_key=attr_key,
is_attribute=is_attribute,
alias=alias,
column=column,
column_name=column_name
)
)
if operator == 'and':
expr = and_(*expressions_for_this_path)
elif operator == 'or':
expr = or_(*expressions_for_this_path)
if expr is None:
if is_attribute:
expr = self.get_filter_expr_from_attributes(
operator, value, attr_key, column=column, column_name=column_name, alias=alias
)
else:
if column is None:
if (alias is None) and (column_name is None):
raise RuntimeError('I need to get the column but do not know the alias and the column name')
column = self.get_column(column_name, alias)
expr = self.get_filter_expr_from_column(operator, value, column)
if negation:
return not_(expr)
return expr
[docs] def get_filter_expr_from_attributes(self, operator, value, attr_key, column=None, column_name=None, alias=None):
# Too many everything!
# pylint: disable=too-many-branches, too-many-arguments, too-many-statements
def cast_according_to_type(path_in_json, value):
"""Cast the value according to the type"""
if isinstance(value, bool):
type_filter = jsonb_typeof(path_in_json) == 'boolean'
casted_entity = path_in_json.astext.cast(Boolean)
elif isinstance(value, (int, float)):
type_filter = jsonb_typeof(path_in_json) == 'number'
casted_entity = path_in_json.astext.cast(Float)
elif isinstance(value, dict) or value is None:
type_filter = jsonb_typeof(path_in_json) == 'object'
casted_entity = path_in_json.astext.cast(JSONB) # BOOLEANS?
elif isinstance(value, dict):
type_filter = jsonb_typeof(path_in_json) == 'array'
casted_entity = path_in_json.astext.cast(JSONB) # BOOLEANS?
elif isinstance(value, str):
type_filter = jsonb_typeof(path_in_json) == 'string'
casted_entity = path_in_json.astext
elif value is None:
type_filter = jsonb_typeof(path_in_json) == 'null'
casted_entity = path_in_json.astext.cast(JSONB) # BOOLEANS?
else:
raise TypeError('Unknown type {}'.format(type(value)))
return type_filter, casted_entity
if column is None:
column = self.get_column(column_name, alias)
database_entity = column[tuple(attr_key)]
if operator == '==':
type_filter, casted_entity = cast_according_to_type(database_entity, value)
expr = case([(type_filter, casted_entity == value)], else_=False)
elif operator == '>':
type_filter, casted_entity = cast_according_to_type(database_entity, value)
expr = case([(type_filter, casted_entity > value)], else_=False)
elif operator == '<':
type_filter, casted_entity = cast_according_to_type(database_entity, value)
expr = case([(type_filter, casted_entity < value)], else_=False)
elif operator in ('>=', '=>'):
type_filter, casted_entity = cast_according_to_type(database_entity, value)
expr = case([(type_filter, casted_entity >= value)], else_=False)
elif operator in ('<=', '=<'):
type_filter, casted_entity = cast_according_to_type(database_entity, value)
expr = case([(type_filter, casted_entity <= value)], else_=False)
elif operator == 'of_type':
# http://www.postgresql.org/docs/9.5/static/functions-json.html
# Possible types are object, array, string, number, boolean, and null.
valid_types = ('object', 'array', 'string', 'number', 'boolean', 'null')
if value not in valid_types:
raise InputValidationError(
'value {} for of_type is not among valid types\n'
'{}'.format(value, valid_types)
)
expr = jsonb_typeof(database_entity) == value
elif operator == 'like':
type_filter, casted_entity = cast_according_to_type(database_entity, value)
expr = case([(type_filter, casted_entity.like(value))], else_=False)
elif operator == 'ilike':
type_filter, casted_entity = cast_according_to_type(database_entity, value)
expr = case([(type_filter, casted_entity.ilike(value))], else_=False)
elif operator == 'in':
type_filter, casted_entity = cast_according_to_type(database_entity, value[0])
expr = case([(type_filter, casted_entity.in_(value))], else_=False)
elif operator == 'contains':
expr = database_entity.cast(JSONB).contains(value)
elif operator == 'has_key':
expr = database_entity.cast(JSONB).has_key(value) # noqa
elif operator == 'of_length':
expr = case([
(jsonb_typeof(database_entity) == 'array', jsonb_array_length(database_entity.cast(JSONB)) == value)
],
else_=False)
elif operator == 'longer':
expr = case([
(jsonb_typeof(database_entity) == 'array', jsonb_array_length(database_entity.cast(JSONB)) > value)
],
else_=False)
elif operator == 'shorter':
expr = case([
(jsonb_typeof(database_entity) == 'array', jsonb_array_length(database_entity.cast(JSONB)) < value)
],
else_=False)
else:
raise InputValidationError('Unknown operator {} for filters in JSON field'.format(operator))
return expr
[docs] @staticmethod
def get_table_name(aliased_class):
""" Returns the table name given an Aliased class"""
return aliased_class.__tablename__
[docs] def get_column_names(self, alias):
"""
Given the backend specific alias, return the column names that correspond to the aliased table.
"""
return [str(c).replace(alias.__table__.name + '.', '') for c in alias.__table__.columns]