"""CSV to database or vice versa."""
import csv
+import fnmatch
import os.path
import pkg_resources
-import re
import sys
from sqlalchemy.orm.attributes import instrumentation_registry
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 '.*'
+def _get_table_names(metadata, patterns):
+ """Returns a list of table names from the given metadata. If `patterns`
+ exists, only tables matching one of the patterns will be returned.
+ """
+ if patterns:
+ table_names = set()
+ for pattern in patterns:
+ if '.' in pattern or '/' in pattern:
+ # If it looks like a filename, pull out just the table name
+ _, filename = os.path.split(pattern)
+ table_name, _ = os.path.splitext(filename)
+ pattern = table_name
+
+ table_names.update(fnmatch.filter(metadata.tables.keys(), pattern))
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)
+ table_names = metadata.tables.keys()
+ return list(table_names)
def _get_verbose_prints(verbose):
"""If `verbose` is true, returns three functions: one for printing a
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_names = _get_table_names(metadata, tables)
table_objs = [metadata.tables[name] for name in table_names]
table_objs = sqlalchemy.sql.util.sort_tables(table_objs)
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_names = _get_table_names(metadata, tables)
table_names.sort()