import sqlalchemy.sql.util
import sqlalchemy.types
-from pokedex.db import metadata
-import pokedex.db.tables as tables
+import pokedex
+from pokedex.db import metadata, tables, translations
from pokedex.defaults import get_default_csv_dir
from pokedex.db.dependencies import find_dependent_tables
-def dump(session, tables=[], directory=None, verbose=False):
+def dump(session, tables=[], directory=None, verbose=False, langs=['en']):
"""Dumps the contents of a database to a set of CSV files. Probably not
useful to anyone besides a developer.
`verbose`
If set to True, status messages will be printed to stdout.
+
+ `langs`
+ List of identifiers of languages to dump unofficial texts for
"""
# First take care of verbosity
print_start, print_status, print_done = _get_verbose_prints(verbose)
+ languages = dict((l.id, l) for l in session.query(pokedex.db.tables.Language))
if not directory:
directory = get_default_csv_dir()
writer = csv.writer(open("%s/%s.csv" % (directory, table_name), 'wb'),
lineterminator='\n')
columns = [col.name for col in table.columns]
+
+ # For name tables, dump rows for official languages, as well as
+ # for those in `langs`.
+ # For other translation tables, only dump rows for languages in `langs`
+ # For non-translation tables, dump all rows.
+ if 'local_language_id' in columns:
+ if any(col.info.get('official') for col in table.columns):
+ def include_row(row):
+ return (languages[row.local_language_id].official or
+ languages[row.local_language_id].identifier in langs)
+ else:
+ def include_row(row):
+ return languages[row.local_language_id].identifier in langs
+ else:
+ def include_row(row):
+ return True
+
writer.writerow(columns)
primary_key = table.primary_key
for row in session.query(table).order_by(*primary_key).all():
- csvs = []
- for col in columns:
- # Convert Pythony values to something more universal
- val = getattr(row, col)
- if val == None:
- val = ''
- elif val == True:
- val = '1'
- elif val == False:
- val = '0'
- else:
- val = unicode(val).encode('utf-8')
+ if include_row(row):
+ csvs = []
+ for col in columns:
+ # Convert Pythony values to something more universal
+ val = getattr(row, col)
+ if val == None:
+ val = ''
+ elif val == True:
+ val = '1'
+ elif val == False:
+ val = '0'
+ else:
+ val = unicode(val).encode('utf-8')
- csvs.append(val)
+ csvs.append(val)
- writer.writerow(csvs)
+ writer.writerow(csvs)
print_done()