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# sqlite.py
# Copyright (C) 2005 Michael Bayer mike_mp@zzzcomputing.com
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this library; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
import sys, StringIO, string, types, re
import sqlalchemy.sql as sql
import sqlalchemy.engine as engine
import sqlalchemy.schema as schema
import sqlalchemy.ansisql as ansisql
import sqlalchemy.types as sqltypes
from sqlalchemy.ansisql import *
import datetime,time
from pysqlite2 import dbapi2 as sqlite
class SLNumeric(sqltypes.Numeric):
def get_col_spec(self):
return "NUMERIC(%(precision)s, %(length)s)" % {'precision': self.precision, 'length' : self.length}
class SLInteger(sqltypes.Integer):
def get_col_spec(self):
return "INTEGER"
class SLDateTime(sqltypes.DateTime):
def get_col_spec(self):
return "TIMESTAMP"
def convert_result_value(self, value):
if value is None:
return None
parts = value.split('.')
try:
(value, microsecond) = value.split('.')
microsecond = int(microsecond)
except ValueError:
(value, microsecond) = (value, 0)
tup = time.strptime(value, "%Y-%m-%d %H:%M:%S")
return datetime.datetime(microsecond=microsecond, *tup[0:6])
class SLText(sqltypes.TEXT):
def get_col_spec(self):
return "TEXT"
class SLString(sqltypes.String):
def get_col_spec(self):
return "VARCHAR(%(length)s)" % {'length' : self.length}
class SLChar(sqltypes.CHAR):
def get_col_spec(self):
return "CHAR(%(length)s)" % {'length' : self.length}
class SLBinary(sqltypes.Binary):
def get_col_spec(self):
return "BLOB"
class SLBoolean(sqltypes.Boolean):
def get_col_spec(self):
return "BOOLEAN"
colspecs = {
sqltypes.Integer : SLInteger,
sqltypes.Numeric : SLNumeric,
sqltypes.DateTime : SLDateTime,
sqltypes.String : SLString,
sqltypes.Binary : SLBinary,
sqltypes.Boolean : SLBoolean,
sqltypes.TEXT : SLText,
sqltypes.CHAR: SLChar,
}
pragma_names = {
'INTEGER' : SLInteger,
'VARCHAR' : SLString,
'CHAR' : SLChar,
'TEXT' : SLText,
'NUMERIC' : SLNumeric,
'TIMESTAMP' : SLDateTime,
'BLOB' : SLBinary,
}
def engine(opts, **params):
return SQLiteSQLEngine(opts, **params)
def descriptor():
return {'name':'sqlite',
'description':'SQLite',
'arguments':[
('filename', "Database Filename",None)
]}
class SQLiteSQLEngine(ansisql.ANSISQLEngine):
def __init__(self, opts, **params):
self.filename = opts.pop('filename', ':memory:')
self.opts = opts or {}
params['poolclass'] = sqlalchemy.pool.SingletonThreadPool
ansisql.ANSISQLEngine.__init__(self, **params)
def post_exec(self, connection, cursor, statement, parameters, echo = None, compiled = None, **kwargs):
if compiled is None: return
if getattr(compiled, "isinsert", False):
self.context.last_inserted_ids = [cursor.lastrowid]
def type_descriptor(self, typeobj):
return sqltypes.adapt_type(typeobj, colspecs)
def last_inserted_ids(self):
return self.context.last_inserted_ids
def connect_args(self):
return ([self.filename], self.opts)
def compiler(self, statement, bindparams, **kwargs):
return SQLiteCompiler(self, statement, bindparams, **kwargs)
def dbapi(self):
return sqlite
def schemagenerator(self, proxy, **params):
return SQLiteSchemaGenerator(proxy, **params)
def reflecttable(self, table):
c = self.execute("PRAGMA table_info(" + table.name + ")", {})
while True:
row = c.fetchone()
if row is None:
break
#print "row! " + repr(row)
(name, type, nullable, primary_key) = (row[1], row[2].upper(), not row[3], row[5])
match = re.match(r'(\w+)(\(.*?\))?', type)
coltype = match.group(1)
args = match.group(2)
#print "coltype: " + repr(coltype) + " args: " + repr(args)
coltype = pragma_names.get(coltype, SLString)
if args is not None:
args = re.findall(r'(\d+)', args)
#print "args! " +repr(args)
coltype = coltype(*args)
table.append_item(schema.Column(name, coltype, primary_key = primary_key, nullable = nullable))
c = self.execute("PRAGMA foreign_key_list(" + table.name + ")", {})
while True:
row = c.fetchone()
if row is None:
break
(tablename, localcol, remotecol) = (row[2], row[3], row[4])
#print "row! " + repr(row)
remotetable = Table(tablename, self, autoload = True)
table.c[localcol].foreign_key = schema.ForeignKey(remotetable.c[remotecol])
# check for UNIQUE indexes
c = self.execute("PRAGMA index_list(" + table.name + ")", {})
unique_indexes = []
while True:
row = c.fetchone()
if row is None:
break
if (row[2] == 1):
unique_indexes.append(row[1])
# loop thru unique indexes for one that includes the primary key
for idx in unique_indexes:
c = self.execute("PRAGMA index_info(" + idx + ")", {})
cols = []
while True:
row = c.fetchone()
if row is None:
break
cols.append(row[2])
col = table.columns[row[2]]
# unique index that includes the pk is considered a multiple primary key
for col in cols:
column = table.columns[col]
table.columns[col]._set_primary_key()
class SQLiteCompiler(ansisql.ANSICompiler):
def __init__(self, *args, **params):
params.setdefault('paramstyle', 'named')
ansisql.ANSICompiler.__init__(self, *args, **params)
class SQLiteSchemaGenerator(ansisql.ANSISchemaGenerator):
def get_column_specification(self, column, override_pk=False, **kwargs):
colspec = column.name + " " + column.type.get_col_spec()
if not column.nullable:
colspec += " NOT NULL"
if column.primary_key and not override_pk:
colspec += " PRIMARY KEY"
if column.foreign_key:
colspec += " REFERENCES %s(%s)" % (column.foreign_key.column.table.name, column.foreign_key.column.name)
return colspec
def visit_table(self, table):
"""sqlite is going to create multi-primary keys with just a UNIQUE index."""
self.append("\nCREATE TABLE " + table.fullname + "(")
separator = "\n"
have_pk = False
use_pks = len(table.primary_keys) == 1
for column in table.columns:
self.append(separator)
separator = ", \n"
self.append("\t" + self.get_column_specification(column, override_pk=not use_pks))
if len(table.primary_keys) > 1:
self.append(", \n")
# put all PRIMARY KEYS in a UNIQUE index
self.append("\tUNIQUE (%s)" % string.join([c.name for c in table.primary_keys],', '))
self.append("\n)\n\n")
self.execute()
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