[CHG] simplified dbsource.execute api to a single method with two possible behaviors

(../ext rev 351.3.4)

base_external_dbsource/base_external_dbsource.py

@@ -105,8 +105,8 @@ Sample connection strings:
 
         return conn
 
-    def execute_and_inspect(self, cr, uid, ids, sqlquery, sqlparams=None, context=None):
-        """Executes SQL and returns a dict with the rows and the list of columns.
+    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".
@@ -114,30 +114,31 @@ Sample connection strings:
                 sqlquery = "select * from mytable where city = %(city)s and date > %(dt)s"
                 params   = {'city': 'Lisbon', 'dt': datetime.datetime(2000, 12, 31)}
                 
-            Sample result:  { 'colnames'; ['col_a', 'col_b', ...]
+            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)
-        nams = dict()
-        rows = list()
+        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)
-                nams = cur.keys()
+                if metadata: cols = cur.keys()
                 rows = [r for r in cur]
             else: 
                 #using other db connectors
                 cur = conn.cursor()
                 cur.execute(sqlquery, sqlparams)
-                nams = [d[0] for d in cur.description]
+                if metadata: cols = [d[0] for d in cur.description]
                 rows = cur.fetchall()
             conn.close()
-        return {'colnames': nams, 'rows': rows}
-
-    def execute(self, cr, uid, ids, sqlquery, sqlparams=None, context=None):
-        return self.execute_and_inspect(self, cr, uid, ids, sqlquery, sqlparams)['rows']
+        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):

import_odbc/import_odbc.py

@@ -19,13 +19,13 @@
 #
 ##############################################################################
 
-import os
 import sys
 from datetime import datetime
 from osv import fields, osv
 import logging
 _logger = logging.getLogger(__name__)
 _loglvl = _logger.getEffectiveLevel()
+SEP     = '|'
 
 class import_odbc_dbtable(osv.osv):
     _name="import.odbc.dbtable"
@@ -50,7 +50,7 @@ class import_odbc_dbtable(osv.osv):
             help = "On error try to reimport rows ignoring relationships."),
         'raise_import_errors': fields.boolean('Raise import errors', 
             help = "Import errors not handled, intended for debugging purposes."
-                 + "\nAlso forces debug messages to be written to the serevr log."),
+                 + "\nAlso forces debug messages to be written to the server log."),
     }
     _defaults = {
         'enabled': True,
@@ -80,24 +80,23 @@ class import_odbc_dbtable(osv.osv):
         
         _logger.debug( data )
         cols   = list(flds) #copy to avoid side effects
-        err  = list()
-        msg  = str()
+        errmsg = str()
         if table_obj.raise_import_errors:
             model_obj.import_data(cr, uid, cols, [data], noupdate=table_obj.noupdate)
         else:
             try:
                 model_obj.import_data(cr, uid, cols, [data], noupdate=table_obj.noupdate)
             except:
-                msg = str(sys.exc_info()[1])
+                errmsg = str(sys.exc_info()[1])
                 
-        if err and not table_obj.ignore_rel_errors:
+        if errmsg and not table_obj.ignore_rel_errors:
             #Fail
-            append_to_log(log, 'ERROR', data, msg )
+            append_to_log(log, 'ERROR', data, errmsg )
             log['last_error_count'] += 1
             return False
-        if err and table_obj.ignore_rel_errors:
+        if errmsg and table_obj.ignore_rel_errors:
             #Warn and retry ignoring many2one fields...
-            append_to_log(log, 'WARN', data, msg )
+            append_to_log(log, 'WARN', data, errmsg )
             log['last_warn_count'] += 1
             #Try ignoring each many2one (tip: in the SQL sentence select more problematic FKs first)
             i = find_m2o(cols)
@@ -147,11 +146,11 @@ class import_odbc_dbtable(osv.osv):
             if obj.last_sync: sync = datetime.strptime(obj.last_sync, "%Y-%m-%d %H:%M:%S")
             else:             sync = datetime.datetime(1900, 1, 1, 0, 0, 0)
             params = {'sync': sync}
-            res    = db_model.execute_and_inspect(cr, uid, [obj.dbsource_id.id], obj.sql_source, params)
+            res    = db_model.execute(cr, uid, [obj.dbsource_id.id], obj.sql_source, params, metadata=True)
                 
             #Exclude columns titled "None"; add (xml_)"id" column
-            cidx = [i for i, x in enumerate(res['colnames']) if x.upper() != 'NONE']
-            cols = [x for i, x in enumerate(res['colnames']) if x.upper() != 'NONE'] + ['id']
+            cidx = [i for i, x in enumerate(res['cols']) if x.upper() != 'NONE']
+            cols = [x for i, x in enumerate(res['cols']) if x.upper() != 'NONE'] + ['id']
 
             #Import each row:
             for row in res['rows']: