498 lines
18 KiB
Python
498 lines
18 KiB
Python
"""CSV to database or vice versa."""
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from __future__ import print_function
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import csv
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import fnmatch
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import os.path
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import sys
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import six
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import sqlalchemy.sql.util
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import sqlalchemy.types
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import pokedex
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from pokedex.db import metadata, translations
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from pokedex.defaults import get_default_csv_dir
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from pokedex.db.dependencies import find_dependent_tables
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from pokedex.db.oracle import rewrite_long_table_names
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def _get_table_names(metadata, patterns):
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"""Returns a list of table names from the given metadata. If `patterns`
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exists, only tables matching one of the patterns will be returned.
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"""
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if patterns:
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table_names = set()
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for pattern in patterns:
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if '.' in pattern or '/' in pattern:
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# If it looks like a filename, pull out just the table name
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_, filename = os.path.split(pattern)
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table_name, _ = os.path.splitext(filename)
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pattern = table_name
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table_names.update(fnmatch.filter(metadata.tables.keys(), pattern))
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else:
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table_names = metadata.tables.keys()
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return list(table_names)
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def _get_verbose_prints(verbose):
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"""If `verbose` is true, returns three functions: one for printing a
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starting message, one for printing an interim status update, and one for
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printing a success or failure message when finished.
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If `verbose` is false, returns no-op functions.
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"""
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if not verbose:
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# Return dummies
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def dummy(*args, **kwargs):
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pass
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return dummy, dummy, dummy
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### Okay, verbose == True; print stuff
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def print_start(thing):
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# Truncate to 66 characters, leaving 10 characters for a success
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# or failure message
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truncated_thing = thing[:66]
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# Also, space-pad to keep the cursor in a known column
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num_spaces = 66 - len(truncated_thing)
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print("%s...%s" % (truncated_thing, ' ' * num_spaces), end='')
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sys.stdout.flush()
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if sys.stdout.isatty():
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# stdout is a terminal; stupid backspace tricks are OK.
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# Don't use print, because it always adds magical spaces, which
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# makes backspace accounting harder
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backspaces = [0]
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def print_status(msg):
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# Overwrite any status text with spaces before printing
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sys.stdout.write('\b' * backspaces[0])
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sys.stdout.write(' ' * backspaces[0])
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sys.stdout.write('\b' * backspaces[0])
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sys.stdout.write(msg)
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sys.stdout.flush()
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backspaces[0] = len(msg)
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def print_done(msg='ok'):
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# Overwrite any status text with spaces before printing
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sys.stdout.write('\b' * backspaces[0])
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sys.stdout.write(' ' * backspaces[0])
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sys.stdout.write('\b' * backspaces[0])
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sys.stdout.write(msg + "\n")
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sys.stdout.flush()
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backspaces[0] = 0
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else:
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# stdout is a file (or something); don't bother with status at all
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def print_status(msg):
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pass
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def print_done(msg='ok'):
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print(msg)
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return print_start, print_status, print_done
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def load(session, tables=[], directory=None, drop_tables=False, verbose=False, safe=True, recursive=True, langs=None):
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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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`tables`
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List of tables to load. If omitted, all tables are loaded.
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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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`verbose`
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If set to True, status messages will be printed to stdout.
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`safe`
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If set to False, load can be faster, but can corrupt the database if
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it crashes or is interrupted.
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`recursive`
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If set to True, load all dependent tables too.
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`langs`
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List of identifiers of extra language to load, or None to load them all
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"""
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# First take care of verbosity
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print_start, print_status, print_done = _get_verbose_prints(verbose)
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if directory is None:
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directory = get_default_csv_dir()
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# XXX why isn't this done in command_load
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table_names = _get_table_names(metadata, tables)
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table_objs = [metadata.tables[name] for name in table_names]
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if recursive:
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table_objs.extend(find_dependent_tables(table_objs))
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table_objs = sqlalchemy.sql.util.sort_tables(table_objs)
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engine = session.get_bind()
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# Limit table names to 30 characters for Oracle
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oracle = (engine.dialect.name == 'oracle')
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if oracle:
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rewrite_long_table_names()
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# SQLite speed tweaks
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if not safe and engine.dialect.name == 'sqlite':
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# We have to explicity call close here because session.execute
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# returns a ResultProxy object that hangs onto the database cursor
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# in case you wanted to see the results of your statement, and
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# these PRAGMA commands helpfully return the string 'OFF'.
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#
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# This would not normally be a problem, except that when
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# journal_mode=OFF, SQLite sometimes doesn't like it when you
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# have multiple database cursors open.
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#
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# This would still not normally be a problem because CPython
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# will free the ResultProxy immediately because it isn't referenced,
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# closing the database cursor, but this isn't true in PyPy,
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# which doesn't use reference counting.
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session.execute("PRAGMA synchronous=OFF").close()
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session.execute("PRAGMA journal_mode=OFF").close()
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# Drop all tables if requested
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if drop_tables:
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print_start('Dropping tables')
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for n, table in enumerate(reversed(table_objs)):
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table.drop(bind=engine, checkfirst=True)
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# Drop columns' types if appropriate; needed for enums in
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# postgresql
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for column in table.c:
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try:
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drop = column.type.drop
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except AttributeError:
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pass
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else:
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drop(bind=engine, checkfirst=True)
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print_status('%s/%s' % (n, len(table_objs)))
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print_done()
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print_start('Creating tables')
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for n, table in enumerate(table_objs):
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try:
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table.create(bind=engine)
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# Exceptions for handling the error thrown when trying to load
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# the database with a table that already exists.
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except (
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sqlalchemy.exc.OperationalError, # Exception used for SQLite
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sqlalchemy.exc.ProgrammingError, # Exception used for PostgreSQL
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sqlalchemy.exc.InternalError # Exception used for MySQL
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) as error:
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if "already exists" in str(error.orig):
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print("\n\nERROR: The table '{}' already exists in the database. "
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"Did you mean to use 'pokedex load -D'".format(table))
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sys.exit(1)
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# If it happens to be some other error but raised by the same
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# exception, then an unexpected error message is sent with
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# the error included
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else:
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print("\n\n UNEXPECTED ERROR: ", error)
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sys.exit(1)
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print_status('%s/%s' % (n, len(table_objs)))
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print_done()
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# Okay, run through the tables and actually load the data now
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for table_obj in table_objs:
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if oracle:
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table_name = table_obj._original_name
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else:
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table_name = table_obj.name
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insert_stmt = table_obj.insert()
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print_start(table_name)
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try:
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csvpath = "%s/%s.csv" % (directory, table_name)
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if six.PY2:
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csvfile = open(csvpath, 'r')
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else:
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csvfile = open(csvpath, 'r', encoding="utf8")
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except IOError:
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# File doesn't exist; don't load anything!
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print_done('missing?')
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continue
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# XXX This is wrong for files with multi-line fields, but Python 3
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# doesn't allow .tell() on a file that's currently being iterated
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# (because the result is completely bogus). Oh well.
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csvsize = sum(1 for line in csvfile)
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csvfile.seek(0)
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reader = csv.reader(csvfile, lineterminator='\n')
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column_names = [six.text_type(column) for column in next(reader)]
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if not safe and engine.dialect.name == 'postgresql':
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# Postgres' CSV dialect works with our data, if we mark the not-null
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# columns with FORCE NOT NULL.
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not_null_cols = [c for c in column_names if not table_obj.c[c].nullable]
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if not_null_cols:
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force_not_null = 'FORCE NOT NULL ' + ','.join('"%s"' % c for c in not_null_cols)
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else:
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force_not_null = ''
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# Grab the underlying psycopg2 cursor so we can use COPY FROM STDIN
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raw_conn = engine.raw_connection()
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command = "COPY %(table_name)s (%(columns)s) FROM STDIN CSV HEADER %(force_not_null)s"
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csvfile.seek(0)
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raw_conn.cursor().copy_expert(
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command % dict(
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table_name=table_name,
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columns=','.join('"%s"' % c for c in column_names),
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force_not_null=force_not_null,
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),
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csvfile,
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)
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raw_conn.commit()
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print_done()
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continue
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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
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# insert them 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 = set() # primary keys we've seen
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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(x.references(table_obj) for x in column.foreign_keys):
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self_ref_columns.append(column)
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new_rows = []
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def insert_and_commit():
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if not new_rows:
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return
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session.execute(insert_stmt, new_rows)
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session.commit()
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new_rows[:] = []
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progress = "%d%%" % (100 * csvpos // csvsize)
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print_status(progress)
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csvpos = 0
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for csvs in reader:
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csvpos += 1
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row_data = {}
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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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elif isinstance(value, bytes):
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# Otherwise, unflatten from bytes
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value = value.decode('utf-8')
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# nb: Dictionaries flattened with ** have to have string keys
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row_data[ str(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 = set(row_data[x.name] for x in self_ref_columns)
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foreign_ids.discard(None) # 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.add(row_data['id'])
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elif foreign_ids.issubset(seen_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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insert_and_commit()
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seen_ids.add(row_data['id'])
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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_data, foreign_ids))
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continue
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# Insert row!
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new_rows.append(row_data)
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# Remembering some zillion rows in the session consumes a lot of
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# RAM. Let's not do that. Commit every 1000 rows
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if len(new_rows) >= 1000:
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insert_and_commit()
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insert_and_commit()
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# Attempt to add any spare rows we've collected
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for row_data, foreign_ids in deferred_rows:
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if not foreign_ids.issubset(seen_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_data))
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session.execute(
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insert_stmt.values(**row_data)
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)
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seen_ids.add(row_data['id'])
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session.commit()
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print_done()
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print_start('Translations')
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transl = translations.Translations(csv_directory=directory)
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new_row_count = 0
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for translation_class, rows in transl.get_load_data(langs):
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table_obj = translation_class.__table__
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if table_obj in table_objs:
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insert_stmt = table_obj.insert()
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session.execute(insert_stmt, rows)
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session.commit()
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# We don't have a total, but at least show some increasing number
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new_row_count += len(rows)
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print_status(str(new_row_count))
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# SQLite check
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if engine.dialect.name == 'sqlite':
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session.execute("PRAGMA integrity_check")
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print_done()
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def dump(session, tables=[], directory=None, verbose=False, langs=None):
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"""Dumps the contents of a database to a set of CSV files. Probably not
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useful to anyone besides a developer.
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`session`
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SQLAlchemy session to use.
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`tables`
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List of tables to dump. If omitted, all tables are dumped.
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`directory`
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Directory the CSV files should be put in. Defaults to the `pokedex`
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data directory.
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`verbose`
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If set to True, status messages will be printed to stdout.
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`langs`
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List of identifiers of languages to dump unofficial texts for
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"""
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# First take care of verbosity
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print_start, print_status, print_done = _get_verbose_prints(verbose)
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languages = dict((l.id, l) for l in session.query(pokedex.db.tables.Language))
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if not directory:
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directory = get_default_csv_dir()
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table_names = _get_table_names(metadata, tables)
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table_names.sort()
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# Oracle needs to dump from tables with shortened names to csvs with the
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# usual names
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oracle = (session.connection().dialect.name == 'oracle')
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if oracle:
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rewrite_long_table_names()
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for table_name in table_names:
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print_start(table_name)
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table = metadata.tables[table_name]
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if oracle:
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filename = '%s/%s.csv' % (directory, table._original_name)
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else:
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filename = '%s/%s.csv' % (directory, table_name)
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# CSV module only works with bytes on 2 and only works with text on 3!
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if six.PY3:
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csvfile = open(filename, 'w', newline='', encoding="utf8")
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writer = csv.writer(csvfile, lineterminator='\n')
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columns = [col.name for col in table.columns]
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else:
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csvfile = open(filename, 'wb')
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writer = csv.writer(csvfile, lineterminator='\n')
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columns = [col.name.encode('utf8') for col in table.columns]
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# For name tables, always dump rows for official languages, as well as
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# for those in `langs` if specified.
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# For other translation tables, only dump rows for languages in `langs`
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# if specified, or for official languages by default.
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# For non-translation tables, dump all rows.
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if 'local_language_id' in columns:
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if langs is None:
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def include_row(row):
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return languages[row.local_language_id].official
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elif any(col.info.get('official') for col in table.columns):
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def include_row(row):
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return (languages[row.local_language_id].official or
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languages[row.local_language_id].identifier in langs)
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else:
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def include_row(row):
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return languages[row.local_language_id].identifier in langs
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else:
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def include_row(row):
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return True
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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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if include_row(row):
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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 = six.text_type(val)
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if not six.PY3:
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val = val.encode('utf8')
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csvs.append(val)
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writer.writerow(csvs)
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csvfile.close()
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print_done()
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