"""CSV to database or vice versa."""
import csv
+import fnmatch
+import os.path
import pkg_resources
import sys
from sqlalchemy.orm.attributes import instrumentation_registry
+import sqlalchemy.sql.util
import sqlalchemy.types
from pokedex.db import metadata
import pokedex.db.tables as tables
+def _get_table_names(metadata, patterns):
+ """Returns a list of table names from the given metadata. If `patterns`
+ exists, only tables matching one of the patterns will be returned.
+ """
+ if patterns:
+ table_names = set()
+ for pattern in patterns:
+ if '.' in pattern or '/' in pattern:
+ # If it looks like a filename, pull out just the table name
+ _, filename = os.path.split(pattern)
+ table_name, _ = os.path.splitext(filename)
+ pattern = table_name
+
+ table_names.update(fnmatch.filter(metadata.tables.keys(), pattern))
+ else:
+ table_names = metadata.tables.keys()
+
+ return list(table_names)
+
def _get_verbose_prints(verbose):
- """If `verbose` is true, returns two functions: one for printing a starting
- message, and the other for printing a success or failure message when
- finished.
+ """If `verbose` is true, returns three functions: one for printing a
+ starting message, one for printing an interim status update, and one for
+ printing a success or failure message when finished.
- If `verbose` is false, returns two no-op functions.
+ If `verbose` is false, returns no-op functions.
"""
- if verbose:
- import sys
- def print_start(thing):
- # Truncate to 66 characters, leaving 10 characters for a success
- # or failure message
- truncated_thing = thing[0:66]
+ if not verbose:
+ # Return dummies
+ def dummy(*args, **kwargs):
+ pass
+
+ return dummy, dummy, dummy
- # Also, space-pad to keep the cursor in a known column
- num_spaces = 66 - len(truncated_thing)
+ ### Okay, verbose == True; print stuff
- print "%s...%s" % (truncated_thing, ' ' * num_spaces),
+ def print_start(thing):
+ # Truncate to 66 characters, leaving 10 characters for a success
+ # or failure message
+ truncated_thing = thing[0:66]
+
+ # Also, space-pad to keep the cursor in a known column
+ num_spaces = 66 - len(truncated_thing)
+
+ print "%s...%s" % (truncated_thing, ' ' * num_spaces),
+ sys.stdout.flush()
+
+ if sys.stdout.isatty():
+ # stdout is a terminal; stupid backspace tricks are OK.
+ # Don't use print, because it always adds magical spaces, which
+ # makes backspace accounting harder
+
+ backspaces = [0]
+ def print_status(msg):
+ # Overwrite any status text with spaces before printing
+ sys.stdout.write('\b' * backspaces[0])
+ sys.stdout.write(' ' * backspaces[0])
+ sys.stdout.write('\b' * backspaces[0])
+ sys.stdout.write(msg)
sys.stdout.flush()
+ backspaces[0] = len(msg)
def print_done(msg='ok'):
- print msg
+ # Overwrite any status text with spaces before printing
+ sys.stdout.write('\b' * backspaces[0])
+ sys.stdout.write(' ' * backspaces[0])
+ sys.stdout.write('\b' * backspaces[0])
+ sys.stdout.write(msg + "\n")
sys.stdout.flush()
+ backspaces[0] = 0
- return print_start, print_done
+ else:
+ # stdout is a file (or something); don't bother with status at all
+ def print_status(msg):
+ pass
- # Not verbose; return dummies
- def dummy(*args, **kwargs):
- pass
+ def print_done(msg='ok'):
+ print msg
- return dummy, dummy
+ return print_start, print_status, print_done
-def load(session, directory=None, drop_tables=False, verbose=False):
+def load(session, tables=[], directory=None, drop_tables=False, verbose=False):
"""Load data from CSV files into the given database session.
Tables are created automatically.
`session`
SQLAlchemy session to use.
+ `tables`
+ List of tables to load. If omitted, all tables are loaded.
+
`directory`
Directory the CSV files reside in. Defaults to the `pokedex` data
directory.
"""
# First take care of verbosity
- print_start, print_done = _get_verbose_prints(verbose)
+ print_start, print_status, print_done = _get_verbose_prints(verbose)
if not directory:
directory = pkg_resources.resource_filename('pokedex', 'data/csv')
+ table_names = _get_table_names(metadata, tables)
+ table_objs = [metadata.tables[name] for name in table_names]
+ table_objs = sqlalchemy.sql.util.sort_tables(table_objs)
+
+
# Drop all tables if requested
if drop_tables:
print_start('Dropping tables')
- metadata.drop_all()
+ for table in reversed(table_objs):
+ table.drop(checkfirst=True)
print_done()
- metadata.create_all()
+ for table in table_objs:
+ table.create()
connection = session.connection()
# Okay, run through the tables and actually load the data now
- for table_obj in metadata.sorted_tables:
+ for table_obj in table_objs:
table_name = table_obj.name
insert_stmt = table_obj.insert()
print_start(table_name)
try:
- csvfile = open("%s/%s.csv" % (directory, table_name), 'rb')
+ csvpath = "%s/%s.csv" % (directory, table_name)
+ csvfile = open(csvpath, 'rb')
except IOError:
# File doesn't exist; don't load anything!
print_done('missing?')
continue
+ csvsize = os.stat(csvpath).st_size
+
reader = csv.reader(csvfile, lineterminator='\n')
column_names = [unicode(column) for column in reader.next()]
session.commit()
new_rows[:] = []
+ progress = "{0}%".format(100 * csvfile.tell() // csvsize)
+ print_status(progress)
+
for csvs in reader:
row_data = {}
# Remembering some zillion rows in the session consumes a lot of
# RAM. Let's not do that. Commit every 1000 rows
- if len(new_rows) > 1000:
+ if len(new_rows) >= 1000:
insert_and_commit()
insert_and_commit()
-def dump(session, directory=None, verbose=False):
+def dump(session, tables=[], directory=None, verbose=False):
"""Dumps the contents of a database to a set of CSV files. Probably not
useful to anyone besides a developer.
`session`
SQLAlchemy session to use.
+ `tables`
+ List of tables to dump. If omitted, all tables are dumped.
+
`directory`
Directory the CSV files should be put in. Defaults to the `pokedex`
data directory.
"""
# First take care of verbosity
- print_start, print_done = _get_verbose_prints(verbose)
+ print_start, print_status, print_done = _get_verbose_prints(verbose)
if not directory:
directory = pkg_resources.resource_filename('pokedex', 'data/csv')
- for table_name in sorted(metadata.tables.keys()):
+ table_names = _get_table_names(metadata, tables)
+ table_names.sort()
+
+
+ for table_name in table_names:
print_start(table_name)
table = metadata.tables[table_name]