sqlalchemy.dialects mysql Example Code

mysql is a callable within the sqlalchemy.dialects module of the SQLAlchemy project.

Example 1 from marshmallow-sqlalchemy

marshmallow-sqlalchemy (project documentation) is a code library that makes it easier to use SQLAlchemy with the Marshmallow data serialization tool.

The marshmallow-sqlalchemy project is provided as open source under the MIT license.

marshmallow-sqlalchemy / src/marshmallow_sqlalchemy / convert.py

# convert.py
import inspect
import functools
import warnings

import uuid
import marshmallow as ma
from marshmallow import validate, fields
from sqlalchemy.dialects import postgresql, mysql, mssql
from sqlalchemy.orm import SynonymProperty
import sqlalchemy as sa

from .exceptions import ModelConversionError
from .fields import Related, RelatedList


def _is_field(value):
    return isinstance(value, type) and issubclass(value, fields.Field)


def _has_default(column):
    return (
        column.default is not None
        or column.server_default is not None
        or _is_auto_increment(column)
    )


def _is_auto_increment(column):
    return column.table is not None and column is column.table._autoincrement_column


def _postgres_array_factory(converter, data_type):
    return functools.partial(
        fields.List, converter._get_field_class_for_data_type(data_type.item_type)
    )


class ModelConverter:

    SQLA_TYPE_MAPPING = {
        sa.Enum: fields.Field,
        sa.JSON: fields.Raw,
        postgresql.BIT: fields.Integer,
        postgresql.OID: fields.Integer,
        postgresql.UUID: fields.UUID,
        postgresql.MACADDR: fields.String,
        postgresql.INET: fields.String,
        postgresql.CIDR: fields.String,
        postgresql.JSON: fields.Raw,
        postgresql.JSONB: fields.Raw,
        postgresql.HSTORE: fields.Raw,
        postgresql.ARRAY: _postgres_array_factory,
        postgresql.MONEY: fields.Decimal,
        postgresql.DATE: fields.Date,
        postgresql.TIME: fields.Time,
        mysql.BIT: fields.Integer,
        mysql.YEAR: fields.Integer,
        mysql.SET: fields.List,
        mysql.ENUM: fields.Field,
        mysql.INTEGER: fields.Integer,
        mysql.DATETIME: fields.DateTime,
        mssql.BIT: fields.Integer,
    }
    DIRECTION_MAPPING = {"MANYTOONE": False, "MANYTOMANY": True, "ONETOMANY": True}

    def __init__(self, schema_cls=None):
        self.schema_cls = schema_cls

    @property
    def type_mapping(self):
        if self.schema_cls:
            return self.schema_cls.TYPE_MAPPING
        else:
            return ma.Schema.TYPE_MAPPING

    def fields_for_model(
        self,
        model,
        *,
        include_fk=False,
        include_relationships=False,
        fields=None,
        exclude=None,
        base_fields=None,
        dict_cls=dict,


## ... source file continues with no further mysql examples...

Example 2 from sqlalchemy-datatables

sqlalchemy-datatables (PyPI package information) is a helper library that makes it easier to use SQLAlchemy with the jQuery JavaScript DataTables plugin. This library is designed to be web framework agnostic and provides code examples for both Flask and Pyramid.

The project is built and maintained by Michel Nemnom (Pegase745) and is open sourced under the MIT license.

sqlalchemy-datatables / datatables / datatables.py

# datatables.py
from __future__ import absolute_import

import math

from sqlalchemy import Text, func, or_
from sqlalchemy.dialects import mysql, postgresql, sqlite

from datatables.clean_regex import clean_regex
from datatables.search_methods import SEARCH_METHODS


class DataTables:

    def __init__(self, request, query, columns, allow_regex_searches=False):
        self.params = dict(request)
        if 'sEcho' in self.params:
            raise ValueError(
                'Legacy datatables not supported, upgrade to >=1.10')
        self.query = query
        self.columns = columns
        self.results = None
        self.allow_regex_searches = allow_regex_searches

        self.cardinality_filtered = 0

        self.cardinality = 0

        self.yadcf_params = []
        self.filter_expressions = []
        self.error = None


## ... source file abbreviated to get to mysql examples ...


            direction = self.params.get('order[{:d}][dir]'.format(i))
            sort_expr = column.sqla_expr
            if direction == 'asc':
                sort_expr = sort_expr.asc()
            elif direction == 'desc':
                sort_expr = sort_expr.desc()
            else:
                raise ValueError(
                    'Invalid order direction: {}'.format(direction))
            if column.nulls_order:
                if column.nulls_order == 'nullsfirst':
                    sort_expr = sort_expr.nullsfirst()
                elif column.nulls_order == 'nullslast':
                    sort_expr = sort_expr.nullslast()
                else:
                    raise ValueError(
                        'Invalid order direction: {}'.format(direction))

            sort_expressions.append(sort_expr)
            i += 1
        self.sort_expressions = sort_expressions

    def _get_regex_operator(self):
        if isinstance(self.query.session.bind.dialect, postgresql.dialect):
            return '-'
        elif isinstance(self.query.session.bind.dialect, mysql.dialect):
            return 'REGEXP'
        elif isinstance(self.query.session.bind.dialect, sqlite.dialect):
            return 'REGEXP'
        else:
            raise NotImplementedError(
                'Regex searches are not implemented for this dialect')



## ... source file continues with no further mysql examples...

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