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