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1a7d046fbc
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.
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
import pkg_resources
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from sqlalchemy import MetaData, Table, create_engine, orm
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from .tables import metadata
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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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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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"""
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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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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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# otherwise oozing with utf8; charset fixes this
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if 'charset' not in uri:
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uri += '?charset=utf8'
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# Tables should be InnoDB, in the event that we're creating them, and
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# use UTF-8 goddammit!
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for table in metadata.tables.values():
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table.kwargs['mysql_engine'] = 'InnoDB'
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table.kwargs['mysql_charset'] = 'utf8'
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### Connect
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engine = create_engine(uri)
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conn = engine.connect()
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metadata.bind = engine
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session_args = dict(autoflush=True, autocommit=False, bind=engine)
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session_args.update(kwargs)
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sm = orm.sessionmaker(**session_args)
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session = orm.scoped_session(sm)
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return session
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