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8812dd9654
Apparently the secret property on a singleton hidden in the guts of SQLAlchemy has been made private recently, so what I wanted to do (get a list of all ORM classes) is now impossible. I gave up on trying to find a real solution and just slapped together something using dir().
154 lines
4.8 KiB
Python
154 lines
4.8 KiB
Python
# encoding: utf8
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import sys
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import sqlalchemy.types
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from .db import connect, metadata, tables as tables_module
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def main():
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if len(sys.argv) <= 1:
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help()
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command = sys.argv[1]
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args = sys.argv[2:]
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# Find the command as a function in this file
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func = globals().get(command, None)
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if func and callable(func) and command != 'main':
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func(*args)
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else:
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help()
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def csvimport(engine_uri, directory='.'):
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import csv
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from sqlalchemy.orm.attributes import instrumentation_registry
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session = connect(engine_uri)
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metadata.create_all()
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# Oh, mysql-chan.
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# TODO try to insert data in preorder so we don't need this hack and won't
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# break similarly on other engines
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if 'mysql' in engine_uri:
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session.execute('SET FOREIGN_KEY_CHECKS = 0')
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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_module.TableBase
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orm_classes = {}
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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__.name] = thingy
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# Okay, run through the tables and actually load the data now
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for table_name, table in sorted(orm_classes.items()):
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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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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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for csvs in reader:
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row = table()
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for column_name, value in zip(column_names, csvs):
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column = table.__table__.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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session.add(row)
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session.commit()
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print 'loaded'
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# Shouldn't matter since this is usually the end of the program and thus
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# the connection too, but let's change this back just in case
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if 'mysql' in engine_uri:
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session.execute('SET FOREIGN_KEY_CHECKS = 1')
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def 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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for row in session.query(table).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 help():
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print u"""pokedex -- a command-line Pokédex interface
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help Displays this message.
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These commands are only useful for developers:
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csvimport {uri} [dir] Import data from a set of CSVs to the database
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given by the URI.
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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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Directory defaults to cwd.
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"""
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sys.exit(0)
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