mirror of
https://github.com/veekun/pokedex.git
synced 2024-08-20 18:16:34 +00:00
Vastly improved the pokedex import/export UI.
csvimport is now load; csvexport is now dump. Both take an optional -e switch to specify an engine, but will happily use a default SQLite database in the pokedex package directory. Additionally, the CSV directory is now controlled by the optional -d switch, and defaults to Doing The Right Thing. So `pokedex load` now does exactly what you'd expect: loads the data from the right files into a consistently-located database.
This commit is contained in:
parent
238487c908
commit
1a7d046fbc
3 changed files with 246 additions and 164 deletions
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@ -1,15 +1,14 @@
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# encoding: utf8
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# encoding: utf8
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from optparse import OptionParser
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import sys
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import sys
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from sqlalchemy.exc import IntegrityError
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from .db import connect, metadata
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import sqlalchemy.types
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import pokedex.db.load
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from .db import connect, metadata, tables as tables_module
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from pokedex.lookup import lookup as pokedex_lookup
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from pokedex.lookup import lookup as pokedex_lookup
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def main():
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def main():
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if len(sys.argv) <= 1:
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if len(sys.argv) <= 1:
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help()
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command_help()
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command = sys.argv[1]
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command = sys.argv[1]
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args = sys.argv[2:]
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args = sys.argv[2:]
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@ -22,161 +21,27 @@ def main():
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command_help()
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command_help()
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def command_csvimport(engine_uri, directory='.'):
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def command_dump(*args):
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import csv
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parser = OptionParser()
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parser.add_option('-e', '--engine', dest='engine_uri', default=None)
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parser.add_option('-d', '--directory', dest='directory', default=None)
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options, _ = parser.parse_args(list(args))
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from sqlalchemy.orm.attributes import instrumentation_registry
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session = connect(options.engine_uri)
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pokedex.db.load.dump(session, directory=options.directory)
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session = connect(engine_uri)
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def command_load(*args):
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parser = OptionParser()
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parser.add_option('-e', '--engine', dest='engine_uri', default=None)
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parser.add_option('-d', '--directory', dest='directory', default=None)
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parser.add_option('-D', '--drop-tables', dest='drop_tables', default=False, action='store_true')
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options, _ = parser.parse_args(list(args))
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metadata.create_all()
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session = connect(options.engine_uri)
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# SQLAlchemy is retarded and there is no way for me to get a list of ORM
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pokedex.db.load.load(session, directory=options.directory,
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# classes besides to inspect the module they all happen to live in for
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drop_tables=options.drop_tables)
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# things that look right.
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table_base = tables_module.TableBase
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orm_classes = {} # table object => table class
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for name in dir(tables_module):
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# dir() returns strings! How /convenient/.
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thingy = getattr(tables_module, name)
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if not isinstance(thingy, type):
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# Not a class; bail
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continue
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elif not issubclass(thingy, table_base):
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# Not a declarative table; bail
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continue
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elif thingy == table_base:
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# Declarative table base, so not a real table; bail
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continue
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# thingy is definitely a table class! Hallelujah.
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orm_classes[thingy.__table__] = thingy
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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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table_class = orm_classes[table_obj]
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table_name = table_obj.name
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# Print the table name but leave the cursor in a fixed column
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print table_name + '...', ' ' * (40 - len(table_name)),
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sys.stdout.flush()
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try:
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csvfile = open("%s/%s.csv" % (directory, table_name), 'rb')
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except IOError:
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# File doesn't exist; don't load anything!
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print 'no data!'
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continue
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reader = csv.reader(csvfile, lineterminator='\n')
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column_names = [unicode(column) for column in reader.next()]
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# Self-referential tables may contain rows with foreign keys of other
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# rows in the same table that do not yet exist. Pull these out and add
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# them to the session last
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# ASSUMPTION: Self-referential tables have a single PK called "id"
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deferred_rows = [] # ( row referring to id, [foreign ids we need] )
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seen_ids = {} # primary key we've seen => 1
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# Fetch foreign key columns that point at this table, if any
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self_ref_columns = []
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for column in table_obj.c:
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if any(_.references(table_obj) for _ in column.foreign_keys):
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self_ref_columns.append(column)
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for csvs in reader:
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row = table_class()
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for column_name, value in zip(column_names, csvs):
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column = table_obj.c[column_name]
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if column.nullable and value == '':
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# Empty string in a nullable column really means NULL
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value = None
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elif isinstance(column.type, sqlalchemy.types.Boolean):
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# Boolean values are stored as string values 0/1, but both
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# of those evaluate as true; SQLA wants True/False
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if value == '0':
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value = False
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else:
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value = True
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else:
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# Otherwise, unflatten from bytes
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value = value.decode('utf-8')
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setattr(row, column_name, value)
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# May need to stash this row and add it later if it refers to a
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# later row in this table
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if self_ref_columns:
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foreign_ids = [getattr(row, _.name) for _ in self_ref_columns]
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foreign_ids = [_ for _ in foreign_ids if _] # remove NULL ids
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if not foreign_ids:
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# NULL key. Remember this row and add as usual.
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seen_ids[row.id] = 1
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elif all(_ in seen_ids for _ in foreign_ids):
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# Non-NULL key we've already seen. Remember it and commit
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# so we know the old row exists when we add the new one
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session.commit()
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seen_ids[row.id] = 1
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else:
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# Non-NULL future id. Save this and insert it later!
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deferred_rows.append((row, foreign_ids))
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continue
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session.add(row)
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session.commit()
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# Attempt to add any spare rows we've collected
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for row, foreign_ids in deferred_rows:
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if not all(_ in seen_ids for _ in foreign_ids):
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# Could happen if row A refers to B which refers to C.
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# This is ridiculous and doesn't happen in my data so far
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raise ValueError("Too many levels of self-reference! "
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"Row was: " + str(row.__dict__))
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session.add(row)
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seen_ids[row.id] = 1
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session.commit()
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print 'loaded'
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def command_csvexport(engine_uri, directory='.'):
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import csv
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session = connect(engine_uri)
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for table_name in sorted(metadata.tables.keys()):
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print table_name
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table = metadata.tables[table_name]
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writer = csv.writer(open("%s/%s.csv" % (directory, table_name), 'wb'),
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lineterminator='\n')
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columns = [col.name for col in table.columns]
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writer.writerow(columns)
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primary_key = table.primary_key
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for row in session.query(table).order_by(*primary_key).all():
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csvs = []
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for col in columns:
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# Convert Pythony values to something more universal
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val = getattr(row, col)
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if val == None:
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val = ''
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elif val == True:
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val = '1'
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elif val == False:
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val = '0'
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else:
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val = unicode(val).encode('utf-8')
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csvs.append(val)
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writer.writerow(csvs)
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def command_lookup(engine_uri, name):
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def command_lookup(engine_uri, name):
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# XXX don't require uri! somehow
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# XXX don't require uri! somehow
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def command_help():
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def command_help():
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print u"""pokedex -- a command-line Pokédex interface
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print u"""pokedex -- a command-line Pokédex interface
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usage: pokedex {command} [options...]
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Run `pokedex setup` first, or nothing will work!
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Commands:
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help Displays this message.
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help Displays this message.
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lookup {uri} [name] Look up something in the Pokédex.
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lookup [thing] Look up something in the Pokédex.
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These commands are only useful for developers:
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System commands:
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csvimport {uri} [dir] Import data from a set of CSVs to the database
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load Load Pokédex data into a database from CSV files.
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given by the URI.
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dump Dump Pokédex data from a database into CSV files.
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csvexport {uri} [dir] Export data from the database given by the URI
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to a set of CSVs.
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Options:
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Directory defaults to cwd.
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-d|--directory By default, load and dump will use the CSV files in the
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pokedex install directory. Use this option to specify
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a different directory.
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-D|--drop-tables With load, drop all tables before loading data.
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-e|--engine=URI By default, all commands try to use a SQLite database
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in the pokedex install directory. Use this option to
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specify an alternate database.
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""".encode(sys.getdefaultencoding(), 'replace')
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""".encode(sys.getdefaultencoding(), 'replace')
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sys.exit(0)
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sys.exit(0)
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@ -1,13 +1,24 @@
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import pkg_resources
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from sqlalchemy import MetaData, Table, create_engine, orm
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from sqlalchemy import MetaData, Table, create_engine, orm
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from .tables import metadata
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from .tables import metadata
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def connect(uri, **kwargs):
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def connect(uri=None, **kwargs):
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"""Connects to the requested URI. Returns a session object.
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"""Connects to the requested URI. Returns a session object.
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With the URI omitted, attempts to connect to a default SQLite database
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contained within the package directory.
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Calling this function also binds the metadata object to the created engine.
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Calling this function also binds the metadata object to the created engine.
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"""
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"""
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# Default to a URI within the package, which was hopefully created at some point
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if not uri:
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sqlite_path = pkg_resources.resource_filename('pokedex',
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'data/pokedex.sqlite')
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uri = 'sqlite:///' + sqlite_path
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### Do some fixery for MySQL
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### Do some fixery for MySQL
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if uri[0:5] == 'mysql':
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if uri[0:5] == 'mysql':
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# MySQL uses latin1 for connections by default even if the server is
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# MySQL uses latin1 for connections by default even if the server is
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197
pokedex/db/load.py
Normal file
197
pokedex/db/load.py
Normal file
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"""CSV to database or vice versa."""
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import csv
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import pkg_resources
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import sys
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from sqlalchemy.orm.attributes import instrumentation_registry
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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 load(session, directory=None, drop_tables=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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`session`
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SQLAlchemy session to use.
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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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`drop_tables`
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If set to True, existing `pokedex`-related tables will be dropped.
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"""
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if not directory:
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directory = pkg_resources.resource_filename('pokedex', 'data/csv')
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# Drop all tables if requested
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if options.drop_tables:
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print 'Dropping tables...'
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metadata.drop_all()
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metadata.create_all()
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# SQLAlchemy is retarded and there is no way for me to get a list of ORM
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# classes besides to inspect the module they all happen to live in for
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# things that look right.
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table_base = tables.TableBase
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orm_classes = {} # table object => table class
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for name in dir(tables):
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# dir() returns strings! How /convenient/.
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thingy = getattr(tables, name)
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if not isinstance(thingy, type):
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# Not a class; bail
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continue
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elif not issubclass(thingy, table_base):
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# Not a declarative table; bail
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continue
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elif thingy == table_base:
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# Declarative table base, so not a real table; bail
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continue
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# thingy is definitely a table class! Hallelujah.
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orm_classes[thingy.__table__] = thingy
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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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table_class = orm_classes[table_obj]
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table_name = table_obj.name
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# Print the table name but leave the cursor in a fixed column
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print table_name + '...', ' ' * (40 - len(table_name)),
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sys.stdout.flush()
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try:
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csvfile = open("%s/%s.csv" % (directory, table_name), 'rb')
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except IOError:
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# File doesn't exist; don't load anything!
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print 'no data!'
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continue
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reader = csv.reader(csvfile, lineterminator='\n')
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column_names = [unicode(column) for column in reader.next()]
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# Self-referential tables may contain rows with foreign keys of other
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# rows in the same table that do not yet exist. Pull these out and add
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# them to the session last
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# ASSUMPTION: Self-referential tables have a single PK called "id"
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deferred_rows = [] # ( row referring to id, [foreign ids we need] )
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seen_ids = {} # primary key we've seen => 1
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# Fetch foreign key columns that point at this table, if any
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self_ref_columns = []
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for column in table_obj.c:
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if any(_.references(table_obj) for _ in column.foreign_keys):
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self_ref_columns.append(column)
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for csvs in reader:
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row = table_class()
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for column_name, value in zip(column_names, csvs):
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column = table_obj.c[column_name]
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if column.nullable and value == '':
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# Empty string in a nullable column really means NULL
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value = None
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elif isinstance(column.type, sqlalchemy.types.Boolean):
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# Boolean values are stored as string values 0/1, but both
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# of those evaluate as true; SQLA wants True/False
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if value == '0':
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value = False
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else:
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value = True
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else:
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# Otherwise, unflatten from bytes
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value = value.decode('utf-8')
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setattr(row, column_name, value)
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# May need to stash this row and add it later if it refers to a
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# later row in this table
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if self_ref_columns:
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foreign_ids = [getattr(row, _.name) for _ in self_ref_columns]
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foreign_ids = [_ for _ in foreign_ids if _] # remove NULL ids
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if not foreign_ids:
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# NULL key. Remember this row and add as usual.
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seen_ids[row.id] = 1
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elif all(_ in seen_ids for _ in foreign_ids):
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|
# Non-NULL key we've already seen. Remember it and commit
|
||||||
|
# so we know the old row exists when we add the new one
|
||||||
|
session.commit()
|
||||||
|
seen_ids[row.id] = 1
|
||||||
|
|
||||||
|
else:
|
||||||
|
# Non-NULL future id. Save this and insert it later!
|
||||||
|
deferred_rows.append((row, foreign_ids))
|
||||||
|
continue
|
||||||
|
|
||||||
|
session.add(row)
|
||||||
|
|
||||||
|
session.commit()
|
||||||
|
|
||||||
|
# Attempt to add any spare rows we've collected
|
||||||
|
for row, foreign_ids in deferred_rows:
|
||||||
|
if not all(_ in seen_ids for _ in foreign_ids):
|
||||||
|
# Could happen if row A refers to B which refers to C.
|
||||||
|
# This is ridiculous and doesn't happen in my data so far
|
||||||
|
raise ValueError("Too many levels of self-reference! "
|
||||||
|
"Row was: " + str(row.__dict__))
|
||||||
|
|
||||||
|
session.add(row)
|
||||||
|
seen_ids[row.id] = 1
|
||||||
|
session.commit()
|
||||||
|
|
||||||
|
print 'loaded'
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def dump(session, directory=None):
|
||||||
|
"""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.
|
||||||
|
|
||||||
|
`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()):
|
||||||
|
print table_name
|
||||||
|
table = metadata.tables[table_name]
|
||||||
|
|
||||||
|
writer = csv.writer(open("%s/%s.csv" % (directory, table_name), 'wb'),
|
||||||
|
lineterminator='\n')
|
||||||
|
columns = [col.name for col in table.columns]
|
||||||
|
writer.writerow(columns)
|
||||||
|
|
||||||
|
primary_key = table.primary_key
|
||||||
|
for row in session.query(table).order_by(*primary_key).all():
|
||||||
|
csvs = []
|
||||||
|
for col in columns:
|
||||||
|
# Convert Pythony values to something more universal
|
||||||
|
val = getattr(row, col)
|
||||||
|
if val == None:
|
||||||
|
val = ''
|
||||||
|
elif val == True:
|
||||||
|
val = '1'
|
||||||
|
elif val == False:
|
||||||
|
val = '0'
|
||||||
|
else:
|
||||||
|
val = unicode(val).encode('utf-8')
|
||||||
|
|
||||||
|
csvs.append(val)
|
||||||
|
|
||||||
|
writer.writerow(csvs)
|
Loading…
Reference in a new issue