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Overhauled CLI.

- Everything now accepts -i, -e, -q, and -v.

- Plumbing commands now announce what database/index they're using and
  where they got them from.

- New command status, which does nothing but still does the announcing.

- New command reindex, which recreates only the whoosh index.
This commit is contained in:
Eevee 2010-04-24 14:04:15 -07:00
parent 6de60fd30f
commit 2204b95585
2 changed files with 249 additions and 32 deletions
pokedex/db

View file

@ -1,15 +1,49 @@
"""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
@ -44,7 +78,7 @@ def _get_verbose_prints(verbose):
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.
@ -52,6 +86,9 @@ def load(session, directory=None, drop_tables=False, verbose=False):
`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.
@ -70,17 +107,29 @@ def load(session, directory=None, drop_tables=False, verbose=False):
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()
@ -163,7 +212,7 @@ def load(session, directory=None, drop_tables=False, verbose=False):
# 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()
@ -186,13 +235,16 @@ def load(session, directory=None, drop_tables=False, verbose=False):
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.
@ -208,7 +260,16 @@ def dump(session, directory=None, verbose=False):
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]