276 lines
11 KiB
Python
276 lines
11 KiB
Python
# Encoding: UTF-8
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"""Moves/transforms values in CSVs in an ad-hoc way, based mainly on column name
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Auto-creates identifiers from names
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Auto-creates names from identifiers
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Copies IDs for foreign keys
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Creates autoincrement-style IDs when missing
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Sets text language to 9 (en), except when it sets to 1 (jp)
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And looks good doing it!
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This is an unmaintained one-shot script, only included in the repo for
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reference.
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"""
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import csv
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import re
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import os
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from StringIO import StringIO
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from collections import namedtuple, defaultdict
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from sqlalchemy.orm import class_mapper
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from pokedex.db import tables, load
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english_id = 9
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japanese_id = 1
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bw_version_group_id = 11
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dir = load.get_default_csv_dir()
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def tuple_key(tup):
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"""Return a sort key for mixed int/string tuples.
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Strings sort first.
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"""
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def generator():
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for item in tup:
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try:
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yield (1, int(item))
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except ValueError:
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yield (0, item)
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return tuple(generator())
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class MakeFieldFuncs:
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"""Various ways to get a new value from the old one"""
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@staticmethod
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def copy(field_name, source, **kwargs):
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"""Plain copy"""
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return source[field_name]
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@staticmethod
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def main(field_name, source, **kwargs):
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"""Populate aux table from the main table"""
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return source[field_name]
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@staticmethod
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def Main(field_name, source, **kwargs):
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"""Capitalize"""
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return source[field_name].capitalize()
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@staticmethod
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def ident(source, **kwargs):
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"""Craft an identifier from the 'identifier' or 'name' column"""
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return name2ident(source.get('identifier', source.get('name')))
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@staticmethod
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def Name(source, **kwargs):
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"""Capitalize the name (or identifier) column"""
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name = source.get('name', source.get('identifier', None))
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name = ' '.join(word.capitalize() for word in name.split(' '))
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return name
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@staticmethod
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def f_id(source, **kwargs):
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"""Capitalize the identifier column"""
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return source['identifier'].capitalize()
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@staticmethod
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def name(source, **kwargs):
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"""Get the original name"""
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return source['name']
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@staticmethod
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def newid(i, source, **kwargs):
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"""Assign a new "auto-incremented" id"""
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source['id'] = i # hack to make srcid work
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return i
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@staticmethod
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def en(source, **kwargs):
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"""Assign the value for English -- unless it's Japanese"""
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if source.get('version_group_id', None) == str(bw_version_group_id):
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return japanese_id
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return english_id
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@staticmethod
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def srcid(source, field_name, **kwargs):
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"""The original table's id"""
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try:
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return source['id']
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except KeyError:
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if field_name == 'pokemon_form_group_id':
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# This one reuses another table's ID
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return source['pokemon_id']
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else:
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raise
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def name2ident(name):
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ident = name.decode('utf-8').lower()
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ident = ident.replace(u'+', ' plus ')
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ident = re.sub(u'[ _–]+', u'-', ident)
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ident = re.sub(u'[\'./;’(),:]', u'', ident)
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ident = ident.replace(u'é', 'e')
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ident = ident.replace(u'♀', '-f')
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ident = ident.replace(u'♂', '-m')
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if ident in ('???', '????'):
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ident = 'unknown'
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elif ident == '!':
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ident = 'exclamation'
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elif ident == '?':
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ident = 'question'
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for c in ident:
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assert c in "abcdefghijklmnopqrstuvwxyz0123456789-", repr(ident)
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return ident
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FieldSpec = namedtuple('FieldSpec', 'out name func')
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def main():
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for table in sorted(tables.all_tables(), key=lambda t: t.__name__):
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datafilename = dir + '/' + table.__tablename__ + '.csv'
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classname = table.__name__
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if hasattr(table, 'object_table'):
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# This is an auxilliary table; it'll be processed with the main one
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continue
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else:
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print "%s: %s" % (classname, table.__tablename__)
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with open(datafilename) as datafile:
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datacsv = csv.reader(datafile, lineterminator='\n')
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orig_fields = datacsv.next()
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columns = class_mapper(table).c
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new_fields = []
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main_out = []
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outputs = {datafilename: main_out}
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name_out = None
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srcfiles = [datafilename]
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# Set new_fields to a list of FieldSpec object, one for each field we want in the csv
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for column in columns:
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name = column.name
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if name == 'identifier':
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new_fields.append(FieldSpec(datafilename, column.name, MakeFieldFuncs.ident))
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elif name in orig_fields:
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new_fields.append(FieldSpec(datafilename, column.name, MakeFieldFuncs.copy))
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elif name == 'id':
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new_fields.append(FieldSpec(datafilename, column.name, MakeFieldFuncs.newid))
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elif name == 'language_id':
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new_fields.insert(2, FieldSpec(datafilename, column.name, MakeFieldFuncs.en))
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else:
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raise AssertionError(name)
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# Remember headers
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headers = {datafilename: list(field.name for field in new_fields)}
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# Pretty prnt :)
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for field in new_fields:
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print ' [{0.func.func_name:5}] {0.name}'.format(field)
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# Do pretty much the same for aux tables
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aux_tables = []
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for attrname in 'text_table prose_table'.split():
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aux_table = getattr(table, attrname, None)
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if aux_table:
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aux_datafilename = dir + '/' + aux_table.__tablename__ + '.csv'
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print " %s: %s" % (aux_table.__name__, aux_table.__tablename__)
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srcfiles.append(datafilename)
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aux_tables.append(aux_table)
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columns = class_mapper(aux_table).c
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aux_out = []
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outputs[aux_datafilename] = aux_out
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aux_fields = []
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for column in columns:
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name = column.name
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if name == 'language_id':
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aux_fields.insert(1, FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.en))
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elif name == 'name' and table.__name__ == 'ItemFlag':
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aux_fields.append(FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.f_id))
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elif name == 'description' and table.__name__ == 'ItemFlag':
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aux_fields.append(FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.name))
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elif name in orig_fields and name == 'name' and table.__name__ in 'PokemonColor ContestType BerryFirmness'.split():
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# Capitalize these names
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aux_fields.append(FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.Name))
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elif name in orig_fields and name in 'color flavor'.split() and table.__name__ == 'ContestType':
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aux_fields.append(FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.Main))
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elif name in orig_fields:
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aux_fields.append(FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.main))
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elif name == table.__singlename__ + '_id':
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aux_fields.append(FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.srcid))
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elif name == 'name':
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aux_fields.append(FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.Name))
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elif name == 'lang_id':
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aux_fields.append(FieldSpec(aux_datafilename, column.name, MakeFieldFuncs.srcid))
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else:
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print orig_fields
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raise AssertionError(name)
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if name == 'name':
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# If this table contains the name, remember that
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name_fields = aux_fields
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name_out = aux_out
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# Sort aux tables nicely
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def key(f):
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if f.func == MakeFieldFuncs.srcid:
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return 0
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elif f.name == 'language_id':
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return 1
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elif f.name == 'name':
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return 2
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else:
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return 10
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aux_fields.sort(key=key)
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new_fields += aux_fields
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headers[aux_datafilename] = list(field.name for field in aux_fields)
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# Pretty print :)
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for field in aux_fields:
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print ' [{0.func.func_name:5}] {0.name}'.format(field)
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# Do nothing if the table's the same
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if all(field.func == MakeFieldFuncs.copy for field in new_fields):
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print u' → skipping'
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continue
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# Otherwise read the file
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# outputs will be a (filename -> list of rows) dict
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print u' → reading'
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for autoincrement_id, src_row in enumerate(datacsv, start=1):
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row = dict(zip(orig_fields, src_row))
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new_rows = defaultdict(list)
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for field in new_fields:
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new_rows[field.out].append(field.func(
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source=row,
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field_name=field.name,
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i=autoincrement_id,
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))
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for name, row in new_rows.items():
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outputs[name].append(row)
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# If there was a _names table, read that and append it to the
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# aux table that has names
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try:
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name_datafilename = dir + '/' + table.__singlename__ + '_names.csv'
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name_file = open(name_datafilename)
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except (AttributeError, IOError):
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pass
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else:
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print u' → reading foreign names'
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with name_file:
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namecsv = csv.reader(name_file, lineterminator='\n')
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src_fields = namecsv.next()
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obj_id_fieldname = table.__singlename__ + '_id'
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assert src_fields == [obj_id_fieldname, 'language_id', 'name']
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for name_row in namecsv:
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name_dict = dict(zip(src_fields, name_row))
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row = []
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for field in name_fields:
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row.append(name_dict.get(field.name, ''))
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name_out.append(row)
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os.unlink(name_datafilename)
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# For all out files, write a header & sorted rows
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print u' → writing'
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for filename, rows in outputs.items():
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with open(filename, 'w') as outfile:
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outcsv = csv.writer(outfile, lineterminator='\n')
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outcsv.writerow(headers[filename])
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rows.sort(key=tuple_key)
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for row in rows:
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outcsv.writerow(row)
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if __name__ == '__main__':
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main()
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