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177 lines
6.6 KiB
177 lines
6.6 KiB
# -*- coding: utf-8 -*-
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##############################################################################
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#
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# Daniel Reis
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# 2011
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as
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# published by the Free Software Foundation, either version 3 of the
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# License, or (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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##############################################################################
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import os
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import logging
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import psycopg2
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from openerp.osv import orm, fields
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from openerp.tools.translate import _
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import openerp.tools as tools
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_logger = logging.getLogger(__name__)
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CONNECTORS = [('postgresql', 'PostgreSQL')]
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try:
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import sqlalchemy
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CONNECTORS.append(('sqlite', 'SQLite'))
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try:
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import pymssql
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CONNECTORS.append(('mssql', 'Microsoft SQL Server'))
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assert pymssql
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except (ImportError, AssertionError):
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_logger.info('MS SQL Server not available. Please install "pymssql"\
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python package.')
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try:
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import MySQLdb
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CONNECTORS.append(('mysql', 'MySQL'))
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assert MySQLdb
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except (ImportError, AssertionError):
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_logger.info('MySQL not available. Please install "mysqldb"\
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python package.')
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except:
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_logger.info('SQL Alchemy not available. Please install "slqalchemy"\
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python package.')
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try:
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import pyodbc
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CONNECTORS.append(('pyodbc', 'ODBC'))
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except:
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_logger.info('ODBC libraries not available. Please install "unixodbc"\
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and "python-pyodbc" packages.')
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try:
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import cx_Oracle
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CONNECTORS.append(('cx_Oracle', 'Oracle'))
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except:
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_logger.info('Oracle libraries not available. Please install "cx_Oracle"\
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python package.')
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class base_external_dbsource(orm.Model):
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_name = "base.external.dbsource"
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_description = 'External Database Sources'
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_columns = {
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'name': fields.char('Datasource name', required=True, size=64),
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'conn_string': fields.text('Connection string', help="""
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Sample connection strings:
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- Microsoft SQL Server:
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mssql+pymssql://username:%s@server:port/dbname?charset=utf8
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- MySQL: mysql://user:%s@server:port/dbname
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- ODBC: DRIVER={FreeTDS};SERVER=server.address;Database=mydb;UID=sa
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- ORACLE: username/%s@//server.address:port/instance
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- PostgreSQL:
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dbname='template1' user='dbuser' host='localhost' port='5432' password=%s
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- SQLite: sqlite:///test.db
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"""),
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'password': fields.char('Password', size=40),
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'connector': fields.selection(CONNECTORS, 'Connector',
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required=True,
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help="If a connector is missing from the\
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list, check the server log to confirm\
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that the required components were\
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detected."),
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}
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def conn_open(self, cr, uid, id1):
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# Get dbsource record
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data = self.browse(cr, uid, id1)
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# Build the full connection string
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connStr = data.conn_string
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if data.password:
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if '%s' not in data.conn_string:
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connStr += ';PWD=%s'
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connStr = connStr % data.password
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# Try to connect
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if data.connector == 'cx_Oracle':
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os.environ['NLS_LANG'] = 'AMERICAN_AMERICA.UTF8'
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conn = cx_Oracle.connect(connStr)
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elif data.connector == 'pyodbc':
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conn = pyodbc.connect(connStr)
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elif data.connector in ('sqlite', 'mysql', 'mssql'):
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conn = sqlalchemy.create_engine(connStr).connect()
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elif data.connector == 'postgresql':
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conn = psycopg2.connect(connStr)
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return conn
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def execute(self, cr, uid, ids, sqlquery, sqlparams=None, metadata=False,
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context=None):
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"""Executes SQL and returns a list of rows.
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"sqlparams" can be a dict of values, that can be referenced in
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the SQL statement using "%(key)s" or, in the case of Oracle,
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":key".
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Example:
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sqlquery = "select * from mytable where city = %(city)s and
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date > %(dt)s"
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params = {'city': 'Lisbon',
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'dt': datetime.datetime(2000, 12, 31)}
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If metadata=True, it will instead return a dict containing the
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rows list and the columns list, in the format:
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{ 'cols': [ 'col_a', 'col_b', ...]
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, 'rows': [ (a0, b0, ...), (a1, b1, ...), ...] }
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"""
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data = self.browse(cr, uid, ids)
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rows, cols = list(), list()
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for obj in data:
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conn = self.conn_open(cr, uid, obj.id)
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if obj.connector in ["sqlite", "mysql", "mssql"]:
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# using sqlalchemy
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cur = conn.execute(sqlquery, sqlparams)
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if metadata:
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cols = cur.keys()
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rows = [r for r in cur]
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else:
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# using other db connectors
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cur = conn.cursor()
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cur.execute(sqlquery, sqlparams)
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if metadata:
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cols = [d[0] for d in cur.description]
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rows = cur.fetchall()
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conn.close()
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if metadata:
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return{'cols': cols, 'rows': rows}
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else:
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return rows
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def connection_test(self, cr, uid, ids, context=None):
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for obj in self.browse(cr, uid, ids, context):
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conn = False
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try:
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conn = self.conn_open(cr, uid, obj.id)
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except Exception as e:
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raise orm.except_orm(_("Connection test failed!"),
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_("Here is what we got instead:\n %s")
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% tools.ustr(e))
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finally:
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try:
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if conn:
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conn.close()
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except Exception:
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# ignored, just a consequence of the previous exception
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pass
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# TODO: if OK a (wizard) message box should be displayed
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raise orm.except_orm(_("Connection test succeeded!"),
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_("Everything seems properly set up!"))
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