# -*- coding: utf-8 -*-




def import_sqlite(project_id, sqlite_file):
    print "This is import_sqlite speaking!"
    print project_id
    print sqlite_file
    print "Importing Data is still a TODO!"

    from sqlalchemy import *
    from sqlalchemy.schema import CreateSchema

    engine = create_engine('sqlite+pysqlite:///project_import_9.ctt4', echo=True)
    meta = MetaData(bind=engine)
    meta.reflect()
    #meta.tables['Reference']
    #meta.tables['ReferenceAuthor'].select().execute().fetchall()
    
    # Now we need to "convert" unsupported types :-/
    for table in meta.sorted_tables:
        table_name = str(table)
        columns = table.columns.items()
        for column_tuple in columns:
            column_name = column_tuple[0]
            actual_sqlalchemy_column = column_tuple[1]
            column_type = str(vars(actual_sqlalchemy_column)['type'])
            print table_name + "." + column_name + ': ' + column_type
        print
    print
    
    """ TODO: since DATETIME (sqlite3) does not map onto TIMESTAMP / DATE (postgresql), some mapping/migrating is required! """
    
    # Shove it up into postgresql's ... you know it.
    psql_engine = create_engine("postgresql://citavi_mapper:foobar2000@localhost:5432/citavi_mapper")
    psql_engine.execute(CreateSchema('alchemytest'))
    meta.create_all(psql_engine)


    pass