41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# -*- coding: utf-8 -*-
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def import_sqlite(project_id, sqlite_file):
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print "This is import_sqlite speaking!"
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print project_id
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print sqlite_file
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print "Importing Data is still a TODO!"
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from sqlalchemy import *
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from sqlalchemy.schema import CreateSchema
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engine = create_engine('sqlite+pysqlite:///project_import_9.ctt4', echo=True)
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meta = MetaData(bind=engine)
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meta.reflect()
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#meta.tables['Reference']
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#meta.tables['ReferenceAuthor'].select().execute().fetchall()
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# Now we need to "convert" unsupported types :-/
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for table in meta.sorted_tables:
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table_name = str(table)
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columns = table.columns.items()
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for column_tuple in columns:
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column_name = column_tuple[0]
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actual_sqlalchemy_column = column_tuple[1]
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column_type = str(vars(actual_sqlalchemy_column)['type'])
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print table_name + "." + column_name + ': ' + column_type
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print
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print
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""" TODO: since DATETIME (sqlite3) does not map onto TIMESTAMP / DATE (postgresql), some mapping/migrating is required! """
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# Shove it up into postgresql's ... you know it.
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psql_engine = create_engine("postgresql://citavi_mapper:foobar2000@localhost:5432/citavi_mapper")
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psql_engine.execute(CreateSchema('alchemytest'))
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meta.create_all(psql_engine)
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pass |