# encoding: utf8
import sys
-from .db import connect, metadata
+from sqlalchemy.exc import IntegrityError
+import sqlalchemy.types
+
+from .db import connect, metadata, tables as tables_module
+from pokedex.lookup import lookup as pokedex_lookup
def main():
if len(sys.argv) <= 1:
help()
-def csvimport(engine_uri, dir='.'):
+def csvimport(engine_uri, directory='.'):
import csv
from sqlalchemy.orm.attributes import instrumentation_registry
- session = connect(engine_uri)
+ # Use autocommit in case rows fail due to foreign key incest
+ session = connect(engine_uri, autocommit=True, autoflush=False)
metadata.create_all()
- # This is a secret attribute on a secret singleton of a secret class that
- # appears to hopefully contain all registered classes as keys.
- # There is no other way to accomplish this, as far as I can tell.
- # Fuck.
- for table in sorted(instrumentation_registry.manager_finders.keys(),
- key=lambda self: self.__table__.name):
- table_name = table.__table__.name
- print table_name
-
- reader = csv.reader(open("%s/%s.csv" % (dir, table_name), 'rb'), lineterminator='\n')
- columns = [unicode(column) for column in reader.next()]
+ # SQLAlchemy is retarded and there is no way for me to get a list of ORM
+ # classes besides to inspect the module they all happen to live in for
+ # things that look right.
+ table_base = tables_module.TableBase
+ orm_classes = {} # table object => table class
+
+ for name in dir(tables_module):
+ # dir() returns strings! How /convenient/.
+ thingy = getattr(tables_module, name)
+
+ if not isinstance(thingy, type):
+ # Not a class; bail
+ continue
+ elif not issubclass(thingy, table_base):
+ # Not a declarative table; bail
+ continue
+ elif thingy == table_base:
+ # Declarative table base, so not a real table; bail
+ continue
+
+ # thingy is definitely a table class! Hallelujah.
+ orm_classes[thingy.__table__] = thingy
+
+ # Okay, run through the tables and actually load the data now
+ for table_obj in metadata.sorted_tables:
+ table_class = orm_classes[table_obj]
+ table_name = table_obj.name
+
+ # Print the table name but leave the cursor in a fixed column
+ print table_name + '...', ' ' * (40 - len(table_name)),
+ sys.stdout.flush()
+
+ try:
+ csvfile = open("%s/%s.csv" % (directory, table_name), 'rb')
+ except IOError:
+ # File doesn't exist; don't load anything!
+ print 'no data!'
+ continue
+
+ reader = csv.reader(csvfile, lineterminator='\n')
+ column_names = [unicode(column) for column in reader.next()]
+
+ # Self-referential tables may contain rows with foreign keys of
+ # other rows in the same table that do not yet exist. We'll keep
+ # a running list of these and try inserting them again after the
+ # rest are done
+ failed_rows = []
for csvs in reader:
- row = table()
-
- for column, value in zip(columns, csvs):
- value = value.decode('utf-8')
- setattr(row, column, value)
-
- session.add(row)
-
- session.commit()
-
-
-def csvexport(engine_uri, dir='.'):
+ row = table_class()
+
+ for column_name, value in zip(column_names, csvs):
+ column = table_obj.c[column_name]
+ if column.nullable and value == '':
+ # Empty string in a nullable column really means NULL
+ value = None
+ elif isinstance(column.type, sqlalchemy.types.Boolean):
+ # Boolean values are stored as string values 0/1, but both
+ # of those evaluate as true; SQLA wants True/False
+ if value == '0':
+ value = False
+ else:
+ value = True
+ else:
+ # Otherwise, unflatten from bytes
+ value = value.decode('utf-8')
+
+ setattr(row, column_name, value)
+
+ try:
+ session.add(row)
+ session.flush()
+ except IntegrityError as e:
+ failed_rows.append(row)
+
+ # Loop over the failed rows and keep trying to insert them. If a loop
+ # doesn't manage to insert any rows, bail.
+ do_another_loop = True
+ while failed_rows and do_another_loop:
+ do_another_loop = False
+
+ for i, row in enumerate(failed_rows):
+ try:
+ session.add(row)
+ session.flush()
+
+ # Success!
+ del failed_rows[i]
+ do_another_loop = True
+ except IntegrityError as e:
+ pass
+
+ if failed_rows:
+ print len(failed_rows), "rows failed"
+ else:
+ print 'loaded'
+
+def csvexport(engine_uri, directory='.'):
import csv
session = connect(engine_uri)
print table_name
table = metadata.tables[table_name]
- writer = csv.writer(open("%s/%s.csv" % (dir, table_name), 'wb'), lineterminator='\n')
+ writer = csv.writer(open("%s/%s.csv" % (directory, table_name), 'wb'),
+ lineterminator='\n')
columns = [col.name for col in table.columns]
writer.writerow(columns)
writer.writerow(csvs)
+def lookup(engine_uri, name):
+ # XXX don't require uri! somehow
+ session = connect(engine_uri)
+
+ results, exact = pokedex_lookup(session, name)
+ if exact:
+ print "Matched:"
+ else:
+ print "Fuzzy-matched:"
+
+ for object in results:
+ print object.__tablename__, object.name
+
def help():
print u"""pokedex -- a command-line Pokédex interface
help Displays this message.
+ lookup {uri} [name] Look up something in the Pokédex.
These commands are only useful for developers:
csvimport {uri} [dir] Import data from a set of CSVs to the database
projects / zzz-pokedex.git / blobdiff