Two sets of Autofill tests....

chrome/test/functional/autofill_dataset_generator.py

Index: chrome/test/functional/autofill_dataset_generator.py
===================================================================
--- chrome/test/functional/autofill_dataset_generator.py	(revision 0)
+++ chrome/test/functional/autofill_dataset_generator.py	(revision 0)
@@ -0,0 +1,308 @@
+#!/usr/bin/python
+# Copyright (c) 2011 The Chromium Authors. All rights reserved.
+# Use of this source code is governed by a BSD-style license that can be
+# found in the LICENSE file.
+
+"""Generates profile dictionaries for Autofill.
+
+Used to test autofill.AutofillTest.FormFillLatencyAfterSubmit.
+Can be used as a stand alone script with -h to print out help text by running:
+  python autofill_dataset_generator.py -h
+"""
+
+import codecs
+import logging
+from optparse import OptionParser
+import os
+import random
+import re
+import sys
+
+
+class NullHandler(logging.Handler):
+  def emit(self, record):
+    pass
+
+
+class DatasetGenerator(object):
+  """Generates a dataset of dictionaries.
+
+  The lists (such as address_construct, city_construct) define the way the
+  corresponding field is generated. They accomplish this by specifying a
+  list of function-args lists.
+  """
+  address_construct = [
+    [ random.randint, 1, 10000],
+    [ None, u'foobar'],
+    [ random.choice, [ u'St', u'Ave', u'Ln', u'Ct', ]],
+    [ random.choice, [ u'#1', u'#2', u'#3', ]],
+  ]
+
+  city_construct = [
+    [ random.choice, [ u'San Jose', u'San Francisco', u'Sacramento',
+                      u'Los Angeles', ]],
+  ]
+
+  state_construct = [
+    [ None, u'CA']
+  ]
+
+  # These zip codes are now matched to the corresponding cities in
+  # city_construct.
+  zip_construct = [ u'95110', u'94109', u'94203', u'90120']
+
+  logger = logging.getLogger(__name__)
+  logger.addHandler(NullHandler())
+  log_handlers = {'StreamHandler': None}
+
+  def __init__(self, output_filename=None, logging_level=None):
+    """Constructs dataset generator object.
+
+    Creates 'fields' data member which is a list of pair (two values) lists.
+    These pairs are comprised of a field key e.g. u'NAME_FIRST' and a
+    generator method e.g. self.GenerateNameFirst which will generate the value.
+    If we want the value to always be the same e.g. u'John' we can use this
+    instead of a method. We can even use None keyword which will give
+    a value of u''.
+
+    'output_pattern' for one field would have been: "{u'NAME_FIRST': u'%s',}"
+    which is ready to accept a value for the 'NAME_FIRST' field key once
+    this value is generated.
+    'output_pattern' is used in 'GenerateNextDict()' to generate the next
+    dict line.
+
+    Args:
+      output_filename: specified filename of generated dataset to be saved.
+        Default value is None and no saving takes place.
+      logging_level: set verbosity levels, default is None.
+    """
+    if logging_level:
+      if not self.log_handlers['StreamHandler']:
+        console = logging.StreamHandler()
+        console.setLevel(logging.INFO)
+        self.log_handlers['StreamHandler'] = console
+        self.logger.addHandler(console)
+      self.logger.setLevel(logging_level)
+    else:
+      if self.log_handlers['StreamHandler']:
+        self.logger.removeHandler(self.log_handlers['StreamHandler'])
+        self.log_handlers['StreamHandler'] = None
+
+    self.output_filename = output_filename
+
+    self.dict_no = 0
+    self.fields = [
+      [u'NAME_FIRST', self.GenerateNameFirst],
+      [u'NAME_MIDDLE', None],
+      [u'NAME_LAST', None],
+      [u'EMAIL_ADDRESS', self.GenerateEmail],
+      [u'COMPANY_NAME', None],
+      [u'ADDRESS_HOME_LINE1', self.GenerateAddress],
+      [u'ADDRESS_HOME_LINE2', None],
+      [u'ADDRESS_HOME_CITY', self.GenerateCity],
+      [u'ADDRESS_HOME_STATE', self.GenerateState],
+      [u'ADDRESS_HOME_ZIP', self.GenerateZip],
+      [u'ADDRESS_HOME_COUNTRY', u'United States'],
+      [u'PHONE_HOME_WHOLE_NUMBER', None],
+      [u'PHONE_FAX_WHOLE_NUMBER', u'6501234555'],
+    ]
+
+    self.next_dict = {}
+    # Using implicit line joining does not work well in this case as each line
+    # has to be strings and not function calls that may return strings.
+    self.output_pattern = u'{\'' + \
+        u', '.join([u'u"%s" : u"%%s"' % key for key, method in self.fields]) + \
+        u',}'
+
+  def _GenerateField(self, field_construct):
+    """Generates each field in each dictionary.
+
+    Args:
+      field_construct: it is a list of lists.
+        The first value (index 0) of each containing list is a function or None.
+        The remaining values are the args. If function is None then arg is just
+        returned.
+
+        Example 1: zip_construct = [[ None, u'95110']]. There is one
+        containing list only and function here is None and arg is u'95110'.
+        This just returns u'95110'.
+
+        Example 2: address_construct = [ [ random.randint, 1, 10000],
+        [ None, u'foobar'] ] This has two containing lists and it will return
+        the result of:
+        random.randint(1, 10000) + ' ' + u'foobar'
+        which could be u'7832 foobar'
+    """
+    parts = []
+    for function_and_args in field_construct:
+      function = function_and_args[0]
+      args = function_and_args[1:]
+      if not function:
+        function = lambda x: x
+      parts.append(str(function(*args)))
+    return (' ').join(parts)
+
+  def GenerateAddress(self):
+    """Uses _GenerateField() and address_construct to gen a random address.
+
+    Returns:
+      A random address.
+    """
+    return self._GenerateField(self.address_construct)
+
+  def GenerateCity(self):
+    """Uses _GenerateField() and city_construct to gen a random city.
+
+    Returns:
+      A random city.
+    """
+    return self._GenerateField(self.city_construct)
+
+  def GenerateState(self):
+    """Uses _GenerateField() and state_construct to generate a state.
+
+    Returns:
+      A state.
+    """
+    return self._GenerateField(self.state_construct)
+
+  def GenerateZip(self):
+    """Uses zip_construct and generated cities to return a matched zip code.
+
+    Returns:
+      A zip code matched to the corresponding city.
+    """
+    city_selected = self.next_dict['ADDRESS_HOME_CITY']
+    index = self.city_construct[0][1].index(city_selected)
+    return self.zip_construct[index]
+
+  def GenerateCountry(self):
+    """Uses _GenerateField() and country_construct to generate a country.
+
+    Returns:
+      A country.
+    """
+    return self._GenerateField(self.country_construct)
+
+  def GenerateNameFirst(self):
+    """Generates a numerical first name.
+
+    The name is the number of the current dict.
+    i.e. u'1', u'2', u'3'
+
+    Returns:
+      A numerical first name.
+    """
+    return u'%s' % self.dict_no
+
+  def GenerateEmail(self):
+    """Generates an email that corresponds to the first name.
+
+    i.e. u'1@example.com', u'2@example.com', u'3@example.com'
+
+    Returns:
+      An email address that corresponds to the first name.
+    """
+    return u'%s@example.com' % self.dict_no
+
+
+  def GenerateNextDict(self):
+    """Generates next dictionary of the dataset.
+
+    Returns:
+      The output dictionary.
+    """
+    self.dict_no += 1
+    self.next_dict = {}
+    for key, method_or_value in self.fields:
+      if not method_or_value:
+        self.next_dict[key] = ''
+      elif type(method_or_value) in [str, unicode]:
+        self.next_dict[key] = '%s' % method_or_value
+      else:
+        self.next_dict[key] = method_or_value()
+    return self.next_dict
+
+  def GenerateDataset(self, num_of_dict_to_generate=10):
+    """Generates a list of dictionaries.
+
+    Args:
+      num_of_dict_to_generate: The number of dictionaries to be generated.
+      Default value is 10.
+
+    Returns:
+      The dictionary list.
+    """
+    random.seed(0)  # All randomly generated values are reproducible.
+    if self.output_filename:
+      output_file = codecs.open(
+          self.output_filename, mode='wb', encoding='utf-8-sig')
+    else:
+      output_file = None
+    try:
+      list_of_dict = []
+      if output_file:
+        output_file.write('[')
+        output_file.write(os.linesep)
+
+      while self.dict_no < num_of_dict_to_generate:
+        output_dict = self.GenerateNextDict()
+        list_of_dict.append(output_dict)
+        output_line = self.output_pattern % tuple(
+            [output_dict[key] for key, method in self.fields])
+        if output_file:
+          output_file.write(output_line)
+          output_file.write(os.linesep)
+        self.logger.info(
+            '%d: %s' % (self.dict_no, output_line.encode(sys.stdout.encoding,
+                                                         'ignore')))
+
+      if output_file:
+        output_file.write(']')
+        output_file.write(os.linesep)
+      self.logger.info('%d dictionaries generated SUCCESSFULLY!', self.dict_no)
+      self.logger.info('--- FINISHED ---')
+      return list_of_dict
+    finally:
+      if output_file:
+        output_file.close()
+
+
+def main():
+  # Command line options.
+  parser = OptionParser()
+  parser.add_option(
+    '-o', '--output', dest='output_filename', default='',
+    help='write output to FILE [optional]', metavar='FILE')
+  parser.add_option(
+    '-d', '--dict', type='int', dest='dict_no', metavar='DICT_NO', default=10,
+    help='DICT_NO: number of dictionaries to be generated [default: %default]')
+  parser.add_option(
+    '-l', '--log_level', dest='log_level', default='debug',
+    metavar='LOG_LEVEL',
+    help='LOG_LEVEL: "debug", "info", "warning" or "error" [default: %default]')
+
+  (options, args) = parser.parse_args()
+  if args:
+    parser.print_help()
+    sys.exit(1)
+  options.log_level = options.log_level.lower()
+  if options.log_level not in ['debug', 'info', 'warning', 'error']:
+    parser.error('Wrong log_level argument.')
+    parser.print_help()
+  else:
+    if options.log_level == 'debug':
+      options.log_level = logging.DEBUG
+    elif options.log_level == 'info':
+      options.log_level = logging.INFO
+    elif options.log_level == 'warning':
+      options.log_level = logging.WARNING
+    elif options.log_level == 'error':
+      options.log_level = logging.ERROR
+
+  gen = DatasetGenerator(options.output_filename, options.log_level)
+  gen.GenerateDataset(options.dict_no)
+
+
+if __name__ == '__main__':
+  main()