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Overhauled CLI. #180
- 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.
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parent
6de60fd30f
commit
2204b95585
2 changed files with 249 additions and 32 deletions
pokedex/db
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@ -1,15 +1,49 @@
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"""CSV to database or vice versa."""
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import csv
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import os.path
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import pkg_resources
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import re
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import sys
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from sqlalchemy.orm.attributes import instrumentation_registry
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import sqlalchemy.sql.util
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import sqlalchemy.types
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from pokedex.db import metadata
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import pokedex.db.tables as tables
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def _wildcard_char_to_regex(char):
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"""Converts a single wildcard character to the regex equivalent."""
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if char == '?':
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return '.?'
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elif char == '*':
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return '.*'
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else:
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return re.escape(char)
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def _wildcard_glob_to_regex(glob):
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"""Converts a single wildcard glob to a regex STRING."""
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# If it looks like a filename, make it not one
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if '.' in glob or '/' in glob:
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_, filename = os.path.split(glob)
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table_name, _ = os.path.splitext(filename)
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glob = table_name
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return u''.join(map(_wildcard_char_to_regex, glob))
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def _wildcards_to_regex(strings):
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"""Converts a list of wildcard globs to a single regex object."""
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regex_parts = map(_wildcard_glob_to_regex, strings)
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regex = '^(?:' + '|'.join(regex_parts) + ')$'
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return re.compile(regex)
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def _get_verbose_prints(verbose):
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"""If `verbose` is true, returns two functions: one for printing a starting
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message, and the other for printing a success or failure message when
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@ -44,7 +78,7 @@ def _get_verbose_prints(verbose):
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return dummy, dummy
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def load(session, directory=None, drop_tables=False, verbose=False):
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def load(session, tables=[], directory=None, drop_tables=False, verbose=False):
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"""Load data from CSV files into the given database session.
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Tables are created automatically.
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@ -52,6 +86,9 @@ def load(session, directory=None, drop_tables=False, verbose=False):
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`session`
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SQLAlchemy session to use.
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`tables`
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List of tables to load. If omitted, all tables are loaded.
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`directory`
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Directory the CSV files reside in. Defaults to the `pokedex` data
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directory.
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@ -70,17 +107,29 @@ def load(session, directory=None, drop_tables=False, verbose=False):
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if not directory:
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directory = pkg_resources.resource_filename('pokedex', 'data/csv')
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if tables:
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regex = _wildcards_to_regex(tables)
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table_names = filter(regex.match, metadata.tables.keys())
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else:
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table_names = metadata.tables.keys()
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table_objs = [metadata.tables[name] for name in table_names]
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table_objs = sqlalchemy.sql.util.sort_tables(table_objs)
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# Drop all tables if requested
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if drop_tables:
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print_start('Dropping tables')
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metadata.drop_all()
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for table in reversed(table_objs):
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table.drop(checkfirst=True)
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print_done()
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metadata.create_all()
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for table in table_objs:
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table.create()
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connection = session.connection()
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# Okay, run through the tables and actually load the data now
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for table_obj in metadata.sorted_tables:
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for table_obj in table_objs:
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table_name = table_obj.name
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insert_stmt = table_obj.insert()
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@ -163,7 +212,7 @@ def load(session, directory=None, drop_tables=False, verbose=False):
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# Remembering some zillion rows in the session consumes a lot of
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# RAM. Let's not do that. Commit every 1000 rows
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if len(new_rows) > 1000:
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if len(new_rows) >= 1000:
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insert_and_commit()
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insert_and_commit()
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@ -186,13 +235,16 @@ def load(session, directory=None, drop_tables=False, verbose=False):
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def dump(session, directory=None, verbose=False):
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def dump(session, tables=[], directory=None, verbose=False):
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"""Dumps the contents of a database to a set of CSV files. Probably not
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useful to anyone besides a developer.
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`session`
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SQLAlchemy session to use.
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`tables`
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List of tables to dump. If omitted, all tables are dumped.
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`directory`
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Directory the CSV files should be put in. Defaults to the `pokedex`
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data directory.
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@ -208,7 +260,16 @@ def dump(session, directory=None, verbose=False):
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if not directory:
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directory = pkg_resources.resource_filename('pokedex', 'data/csv')
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for table_name in sorted(metadata.tables.keys()):
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if tables:
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regex = _wildcards_to_regex(tables)
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table_names = filter(regex.match, metadata.tables.keys())
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else:
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table_names = metadata.tables.keys()
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table_names.sort()
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for table_name in table_names:
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print_start(table_name)
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table = metadata.tables[table_name]
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