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442 lines
15 KiB
Python
442 lines
15 KiB
Python
"""CSV to database or vice versa."""
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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 sqlalchemy.sql.util
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import sqlalchemy.types
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from hashlib import md5
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import pokedex
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from pokedex.db import metadata, tables, 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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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),
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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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# Oracle fixery again, load doesn't know we modified the schema
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# flag for oracle stuff
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oranames = (session.connection().dialect.name == 'oracle')
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if oranames:
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# Prepare a dictionary to match old<->new names
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oradict = {}
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# Shorten table names, Oracle limits table and column names to 30 chars
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for table in table_objs:
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table._orginal_name = table.name[:]
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oradict[table.name]=table._orginal_name
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if len(table._orginal_name) > 30:
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for letter in ['a', 'e', 'i', 'o', 'u', 'y']:
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table.name=table.name.replace(letter,'')
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oradict[table.name]=table._orginal_name
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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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# SQLite speed tweaks
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if not safe and session.connection().dialect.name == 'sqlite':
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session.connection().execute("PRAGMA synchronous=OFF")
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session.connection().execute("PRAGMA journal_mode=OFF")
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# Drop all tables if requested
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if drop_tables:
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bind = session.get_bind()
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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(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=bind, 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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table.create()
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print_status('%s/%s' % (n, len(table_objs)))
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print_done()
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connection = session.connection()
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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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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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# In oracle mode, use the original names instead of current
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if oranames:
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csvpath = "%s/%s.csv" % (directory, oradict[table_name])
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csvfile = open(csvpath, 'rb')
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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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csvsize = os.stat(csvpath).st_size
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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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if not safe and session.connection().dialect.name == 'postgresql':
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"""
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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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COPY is only allowed for DB superusers. If you're not one, use safe
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loading (pokedex load -S).
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"""
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session.commit()
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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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command = "COPY %(table_name)s (%(columns)s) FROM '%(csvpath)s' CSV HEADER %(force_not_null)s"
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session.connection().execute(
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command % dict(
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table_name=table_name,
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csvpath=csvpath,
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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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)
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session.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 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 = 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.connection().execute(insert_stmt, new_rows)
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session.commit()
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new_rows[:] = []
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progress = "%d%%" % (100 * csvfile.tell() // csvsize)
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print_status(progress)
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for csvs in reader:
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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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# Oracle treats empty strings as NULL
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if not column.nullable and value == '' and oranames:
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value = ' '
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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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# 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))
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session.connection().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.connection().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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print_done()
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# SQLite check
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if session.connection().dialect.name == 'sqlite':
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session.connection().execute("PRAGMA integrity_check")
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def dump(session, tables=[], directory=None, verbose=False, langs=['en']):
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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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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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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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# For name tables, dump rows for official languages, as well as
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# for those in `langs`.
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# For other translation tables, only dump rows for languages in `langs`
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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 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 = unicode(val).encode('utf-8')
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csvs.append(val)
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writer.writerow(csvs)
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print_done()
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