"""CSV to database or vice versa."""
import csv
+import os.path
import pkg_resources
+import re
import sys
from sqlalchemy.orm.attributes import instrumentation_registry
+import sqlalchemy.sql.util
import sqlalchemy.types
from pokedex.db import metadata
import pokedex.db.tables as tables
+def _wildcard_char_to_regex(char):
+ """Converts a single wildcard character to the regex equivalent."""
+
+ if char == '?':
+ return '.?'
+ elif char == '*':
+ return '.*'
+ else:
+ return re.escape(char)
+
+def _wildcard_glob_to_regex(glob):
+ """Converts a single wildcard glob to a regex STRING."""
+
+ # If it looks like a filename, make it not one
+ if '.' in glob or '/' in glob:
+ _, filename = os.path.split(glob)
+ table_name, _ = os.path.splitext(filename)
+ glob = table_name
+
+ return u''.join(map(_wildcard_char_to_regex, glob))
+
+def _wildcards_to_regex(strings):
+ """Converts a list of wildcard globs to a single regex object."""
+
+ regex_parts = map(_wildcard_glob_to_regex, strings)
+
+ regex = '^(?:' + '|'.join(regex_parts) + ')$'
+
+ return re.compile(regex)
+
+
def _get_verbose_prints(verbose):
"""If `verbose` is true, returns two functions: one for printing a starting
message, and the other for printing a success or failure message when
return dummy, dummy
-def load(session, directory=None, drop_tables=False, verbose=False):
+def load(session, tables=[], directory=None, drop_tables=False, verbose=False):
"""Load data from CSV files into the given database session.
Tables are created automatically.
`session`
SQLAlchemy session to use.
+ `tables`
+ List of tables to load. If omitted, all tables are loaded.
+
`directory`
Directory the CSV files reside in. Defaults to the `pokedex` data
directory.
if not directory:
directory = pkg_resources.resource_filename('pokedex', 'data/csv')
+ if tables:
+ regex = _wildcards_to_regex(tables)
+ table_names = filter(regex.match, metadata.tables.keys())
+ else:
+ table_names = metadata.tables.keys()
+
+ table_objs = [metadata.tables[name] for name in table_names]
+ table_objs = sqlalchemy.sql.util.sort_tables(table_objs)
+
+
# Drop all tables if requested
if drop_tables:
print_start('Dropping tables')
- metadata.drop_all()
+ for table in reversed(table_objs):
+ table.drop(checkfirst=True)
print_done()
- metadata.create_all()
+ for table in table_objs:
+ table.create()
connection = session.connection()
# Okay, run through the tables and actually load the data now
- for table_obj in metadata.sorted_tables:
+ for table_obj in table_objs:
table_name = table_obj.name
insert_stmt = table_obj.insert()
# Remembering some zillion rows in the session consumes a lot of
# RAM. Let's not do that. Commit every 1000 rows
- if len(new_rows) > 1000:
+ if len(new_rows) >= 1000:
insert_and_commit()
insert_and_commit()
-def dump(session, directory=None, verbose=False):
+def dump(session, tables=[], directory=None, verbose=False):
"""Dumps the contents of a database to a set of CSV files. Probably not
useful to anyone besides a developer.
`session`
SQLAlchemy session to use.
+ `tables`
+ List of tables to dump. If omitted, all tables are dumped.
+
`directory`
Directory the CSV files should be put in. Defaults to the `pokedex`
data directory.
if not directory:
directory = pkg_resources.resource_filename('pokedex', 'data/csv')
- for table_name in sorted(metadata.tables.keys()):
+ if tables:
+ regex = _wildcards_to_regex(tables)
+ table_names = filter(regex.match, metadata.tables.keys())
+ else:
+ table_names = metadata.tables.keys()
+
+ table_names.sort()
+
+
+ for table_name in table_names:
print_start(table_name)
table = metadata.tables[table_name]