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# -*- 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
from osv import fields, osv
from openerp.tools.translate import _
import openerp.tools as tools
import logging
_logger = logging.getLogger(__name__)
CONNECTORS = []
try:
import sqlalchemy
import pymssql
CONNECTORS.append( ('mssql', 'Microsoft SQL Server') )
except:
_logger.info('MS SQL Server not available. Please install "slqalchemy" and "pymssql" python package.')
try:
import sqlalchemy
import MySQLdb
CONNECTORS.append( ('mysql', 'MySQL') )
except:
_logger.info('MySQL not available. Please install "slqalchemy" and "mysqldb" 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.')
import psycopg2
CONNECTORS.append( ('postgresql', 'PostgreSQL') )
try:
import sqlalchemy
CONNECTORS.append( ('sqlite', 'SQLite') )
except:
_logger.info('SQLAlchemy not available. Please install "slqalchemy" python package.')
class base_external_dbsource(osv.osv):
_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 componentes 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, e:
raise osv.except_osv(_("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 osv.except_osv(_("Connection test succeeded!"), _("Everything seems properly set up!"))
base_external_dbsource()