text: #!/usr/bin/python
  # -*- coding: utf-8 -*-
  
  import datetime
  import hashlib
  import random
  
  from Unit6 import create_app
  from Unit6.models import Teams, Solves, Challenges, WrongKeys, Keys, Files, Awards
  
  app = create_app()
  
  USER_AMOUNT = 50
  CHAL_AMOUNT = 20
  AWARDS_AMOUNT = 5
  
  categories = [
      'Exploitation',
      'Reversing',
      'Web',
      'Forensics',
      'Scripting',
      'Cryptography',
      'Networking',
  ]
  lorems = [
      'Lorem', 'ipsum', 'dolor', 'sit', 'amet,', 'consectetur', 'adipiscing', 'elit.',
      'Proin', 'fringilla', 'elit', 'velit,', 'sed', 'scelerisque', 'tellus', 'dapibus',
      'vel.', 'Aenean', 'at', 'urna', 'porta,', 'fringilla', 'erat', 'eget,',
      'lobortis', 'quam.', 'Praesent', 'luctus,', 'quam', 'at', 'consequat', 'luctus,',
      'mauris', 'sem', 'pretium', 'metus,', 'eu', 'viverra', 'dui', 'leo',
      'in', 'tortor.', 'Cras', 'iaculis', 'enim', 'erat,', 'sed', 'gravida',
      'velit', 'consectetur', 'a.', 'Duis', 'eget', 'fermentum', 'elit.', 'Vivamus',
      'laoreet', 'elementum', 'massa,', 'ut', 'sodales', 'mi', 'gravida', 'at.',
      'Vivamus', 'dignissim', 'in', 'eros', 'non', 'iaculis.', 'Vivamus', 'nec',
      'sem', 'fringilla,', 'semper', 'lectus', 'in,', 'malesuada', 'tellus.', 'Vestibulum',
      'mattis', 'commodo', 'enim', 'sit', 'amet', 'scelerisque.', 'Proin', 'at',
      'condimentum', 'nisi,', 'nec', 'fringilla', 'ante.', 'Vestibulum', 'sit', 'amet',
      'neque', 'sit', 'amet', 'elit', 'placerat', 'interdum', 'egestas', 'ac',
      'malesuada', 'quis', 'arcu', 'ac', 'blandit.', 'Vivamus', 'in', 'massa',
      'a', 'purus', 'bibendum', 'sagittis.', 'Nunc', 'venenatis', 'lacus', 'sed',
      'nulla', 'dapibus,', 'consequat', 'laoreet', 'nisi', 'faucibus.', 'Nam', 'consequat',
      'viverra', 'nibh', 'a', 'cursus.', 'Phasellus', 'tristique', 'justo', 'vitae',
      'rutrum', 'pharetra.', 'Sed', 'sed', 'porttitor', 'lacus.', 'Nam', 'ornare',
      'sit', 'amet', 'nisi', 'imperdiet', 'vulputate.', 'Maecenas', 'hendrerit', 'ullamcorper',
      'elit,', 'sed', 'pellentesque', 'lacus', 'bibendum', 'sit', 'amet.', 'Aliquam',
      'consectetur', 'odio', 'quis', 'tellus', 'ornare,', 'id', 'malesuada', 'dui',
      'rhoncus.', 'Quisque', 'fringilla', 'pellentesque', 'nulla', 'id', 'congue.', 'Nulla',
      'ultricies', 'dolor', 'tristique', 'facilisis', 'at', 'accumsan', 'nisi.', 'Praesent',
      'commodo,', 'mauris', 'sit', 'amet', 'placerat', 'condimentum,', 'nibh', 'leo',
      'pulvinar', 'justo,', 'vel', 'dignissim', 'mi', 'dolor', 'et', 'est.',
      'Nulla', 'facilisi.', 'Sed', 'nunc', 'est,', 'lobortis', 'id', 'diam',
      'nec,', 'vulputate', 'varius', 'orci.', 'Maecenas', 'iaculis', 'vehicula', 'eros',
      'eu', 'congue.', 'Nam', 'tempor', 'commodo', 'lobortis.', 'Donec', 'eget',
      'posuere', 'dolor,', 'ut', 'rhoncus', 'tortor.', 'Donec', 'et', 'quam',
      'quis', 'urna', 'rhoncus', 'fermentum', 'et', 'ut', 'tellus.', 'Aliquam',
      'erat', 'volutpat.', 'Morbi', 'porttitor', 'ante', 'nec', 'porta', 'mollis.',
      'Ut', 'sodales', 'pellentesque', 'rutrum.', 'Nullam', 'elit', 'eros,', 'sollicitudin',
      'ac', 'rutrum', 'sit', 'amet,', 'eleifend', 'vel', 'nulla.', 'Morbi',
      'quis', 'lacinia', 'nisi.', 'Integer', 'at', 'neque', 'vel', 'velit',
      'tincidunt', 'elementum', 'lobortis', 'sit', 'amet', 'tellus.', 'Nunc', 'volutpat',
      'diam', 'ac', 'diam', 'lacinia,', 'id', 'molestie', 'quam', 'eu',
      'ultricies', 'ligula.', 'Duis', 'iaculis', 'massa', 'massa,', 'eget', 'venenatis',
      'dolor', 'fermentum', 'laoreet.', 'Nam', 'posuere,', 'erat', 'quis', 'tempor',
      'consequat,', 'purus', 'erat', 'hendrerit', 'arcu,', 'nec', 'aliquam', 'ligula',
      'augue', 'vitae', 'felis.', 'Vestibulum', 'tincidunt', 'ipsum', 'vel', 'pharetra',
      'lacinia.', 'Quisque', 'dignissim,', 'arcu', 'non', 'feugiat', 'semper,', 'felis',
      'est', 'commodo', 'lorem,', 'malesuada', 'elementum', 'nibh', 'lectus', 'porttitor',
      'nisi.', 'Duis', 'non', 'lacinia', 'nisl.', 'Etiam', 'ante', 'nisl,',
      'mattis', 'eget', 'convallis', 'vel,', 'ullamcorper', 'ac', 'nisl.', 'Duis',
      'eu', 'massa', 'at', 'urna', 'laoreet', 'convallis.', 'Donec', 'tincidunt',
      'sapien', 'sit', 'amet', 'varius', 'eu', 'dignissim', 'tortor,', 'elementum',
      'gravida', 'eros.', 'Cras', 'viverra', 'accumsan', 'erat,', 'et', 'euismod',
      'dui', 'placerat', 'ac.', 'Ut', 'tortor', 'arcu,', 'euismod', 'vitae',
      'aliquam', 'in,', 'interdum', 'vitae', 'magna.', 'Vestibulum', 'leo', 'ante,',
      'posuere', 'eget', 'est', 'non,', 'adipiscing', 'ultrices', 'erat.', 'Donec',
      'suscipit', 'felis', 'molestie,', 'ultricies', 'dui', 'a,', 'facilisis', 'magna.',
      'Cum', 'sociis', 'natoque', 'penatibus', 'et', 'magnis', 'dis', 'parturient',
      'montes,', 'nascetur', 'ridiculus', 'mus.', 'Nulla', 'quis', 'odio', 'sit',
      'amet', 'ante', 'tristique', 'accumsan', 'ut', 'iaculis', 'neque.', 'Vivamus',
      'in', 'venenatis', 'enim.', 'Nunc', 'dignissim', 'justo', 'neque,', 'sed',
      'ultricies', 'justo', 'dictum', 'in.', 'Nulla', 'eget', 'nunc', 'ac',
      'arcu', 'vestibulum', 'bibendum', 'vitae', 'quis', 'tellus.', 'Morbi', 'bibendum,',
      'quam', 'ac', 'cursus', 'posuere,', 'purus', 'lectus', 'tempor', 'est,',
      'eu', 'iaculis', 'quam', 'enim', 'a', 'nibh.', 'Etiam', 'consequat',
  ]
  hipsters = [
      'Ethnic', 'narwhal', 'pickled', 'Odd', 'Future', 'cliche', 'VHS', 'whatever',
      'Etsy', 'American', 'Apparel', 'kitsch', 'wolf', 'mlkshk', 'fashion', 'axe',
      'ethnic', 'banh', 'mi', 'cornhole', 'scenester', 'Echo', 'Park', 'Dreamcatcher',
      'tofu', 'fap', 'selvage', 'authentic', 'cliche', 'High', 'Life', 'brunch',
      'pork', 'belly', 'viral', 'XOXO', 'drinking', 'vinegar', 'bitters', 'Wayfarers',
      'gastropub', 'dreamcatcher', 'chillwave', 'Shoreditch', 'kale', 'chips', 'swag', 'street',
      'art', 'put', 'a', 'bird', 'on', 'it', 'Vice', 'synth',
      'cliche', 'retro', 'Master', 'cleanse', 'ugh', 'Austin', 'slow-carb', 'small',
      'batch', 'Hashtag', 'food', 'truck', 'deep', 'v', 'semiotics', 'chia',
      'normcore', 'bicycle', 'rights', 'Austin', 'drinking', 'vinegar', 'hella', 'readymade',
      'farm-to-table', 'Wes', 'Anderson', 'put', 'a', 'bird', 'on', 'it',
      'freegan', 'Synth', 'lo-fi', 'food', 'truck', 'chambray', 'Shoreditch', 'cliche',
      'kogiSynth', 'lo-fi', 'fap', 'single-origin', 'coffee', 'brunch', 'butcher', 'Pickled',
      'Etsy', 'locavore', 'forage', 'pug', 'stumptown', 'occupy', 'PBR&B', 'actually',
      'shabby', 'chic', 'church-key', 'disrupt', 'lomo', 'hoodie', 'Tumblr', 'biodiesel',
      'Pinterest', 'butcher', 'Hella', 'Carles', 'pour-over', 'YOLO', 'VHS', 'literally',
      'Selvage', 'narwhal', 'flexitarian', 'wayfarers', 'kitsch', 'bespoke', 'sriracha', 'Banh',
      'mi', '8-bit', 'cornhole', 'viral', 'Tonx', 'keytar', 'gastropub', 'YOLO',
      'hashtag', 'food', 'truck', '3', 'wolf', 'moonFingerstache', 'flexitarian', 'craft',
      'beer', 'shabby', 'chic', '8-bit', 'try-hard', 'semiotics', 'Helvetica', 'keytar',
      'PBR', 'four', 'loko', 'scenester', 'keytar', '3', 'wolf', 'moon',
      'sriracha', 'gluten-free', 'literally', 'try-hard', 'put', 'a', 'bird', 'on',
      'it', 'cornhole', 'blog', 'fanny', 'pack', 'Mumblecore', 'pickled', 'distillery',
      'butcher', 'Ennui', 'tote', 'bag', 'letterpress', 'disrupt', 'keffiyeh', 'art',
      'party', 'aesthetic', 'Helvetica', 'stumptown', 'Wes', 'Anderson', 'next', 'level',
      "McSweeney's", 'cornhole', 'Schlitz', 'skateboard', 'pop-up', 'Chillwave', 'biodiesel', 'semiotics',
      'seitan', 'authentic', 'bicycle', 'rights', 'wolf', 'pork', 'belly', 'letterpress',
      'locavore', 'whatever', 'fixie', 'viral', 'mustache', 'beard', 'Hashtag', 'sustainable',
      'lomo', 'cardigan', 'lo-fiWilliamsburg', 'craft', 'beer', 'bitters', 'iPhone', 'gastropub',
      'messenger', 'bag', 'Organic', 'post-ironic', 'fingerstache', 'ennui', 'banh', 'mi',
      'Art', 'party', 'bitters', 'twee', 'bespoke', 'church-key', 'Intelligentsia', 'sriracha',
      'Echo', 'Park', 'Tofu', 'locavore', 'street', 'art', 'freegan', 'farm-to-table',
      'distillery', 'hoodie', 'swag', 'ugh', 'YOLO', 'VHS', 'Cred', 'hella',
      'readymade', 'distillery', 'Banh', 'mi', 'Echo', 'Park', "McSweeney's,", 'mlkshk',
      'photo', 'booth', 'swag', 'Odd', 'Future', 'squid', 'Tonx', 'craft',
      'beer', 'High', 'Life', 'tousled', 'PBR', 'you', 'probably', "haven't",
      'heard', 'of', 'them', 'locavore', 'PBR&B', 'street', 'art', 'pop-up',
  ]
  names = [
      'James', 'John', 'Robert', 'Michael', 'William', 'David', 'Richard', 'Joseph',
      'Charles', 'Thomas', 'Christopher', 'Daniel', 'Matthew', 'Donald', 'Anthony', 'Paul',
      'Mark', 'George', 'Steven', 'Kenneth', 'Andrew', 'Edward', 'Brian', 'Joshua',
      'Kevin', 'Ronald', 'Timothy', 'Jason', 'Jeffrey', 'Gary', 'Ryan', 'Nicholas',
      'Eric', 'Stephen', 'Jacob', 'Larry', 'Frank', 'Jonathan', 'Scott', 'Justin',
      'Raymond', 'Brandon', 'Gregory', 'Samuel', 'Patrick', 'Benjamin', 'Jack', 'Dennis',
      'Jerry', 'Alexander', 'Tyler', 'Douglas', 'Henry', 'Peter', 'Walter', 'Aaron',
      'Jose', 'Adam', 'Harold', 'Zachary', 'Nathan', 'Carl', 'Kyle', 'Arthur',
      'Gerald', 'Lawrence', 'Roger', 'Albert', 'Keith', 'Jeremy', 'Terry', 'Joe',
      'Sean', 'Willie', 'Jesse', 'Ralph', 'Billy', 'Austin', 'Bruce', 'Christian',
      'Roy', 'Bryan', 'Eugene', 'Louis', 'Harry', 'Wayne', 'Ethan', 'Jordan',
      'Russell', 'Alan', 'Philip', 'Randy', 'Juan', 'Howard', 'Vincent', 'Bobby',
      'Dylan', 'Johnny', 'Phillip', 'Craig', 'Mary', 'Patricia', 'Elizabeth', 'Jennifer',
      'Linda', 'Barbara', 'Susan', 'Margaret', 'Jessica', 'Dorothy', 'Sarah', 'Karen',
      'Nancy', 'Betty', 'Lisa', 'Sandra', 'Helen', 'Donna', 'Ashley', 'Kimberly',
      'Carol', 'Michelle', 'Amanda', 'Emily', 'Melissa', 'Laura', 'Deborah', 'Stephanie',
      'Rebecca', 'Sharon', 'Cynthia', 'Ruth', 'Kathleen', 'Anna', 'Shirley', 'Amy',
      'Angela', 'Virginia', 'Brenda', 'Pamela', 'Catherine', 'Katherine', 'Nicole', 'Christine',
      'Janet', 'Debra', 'Carolyn', 'Samantha', 'Rachel', 'Heather', 'Maria', 'Diane',
      'Frances', 'Joyce', 'Julie', 'Martha', 'Joan', 'Evelyn', 'Kelly', 'Christina',
      'Emma', 'Lauren', 'Alice', 'Judith', 'Marie', 'Doris', 'Ann', 'Jean',
      'Victoria', 'Cheryl', 'Megan', 'Kathryn', 'Andrea', 'Jacqueline', 'Gloria', 'Teresa',
      'Janice', 'Sara', 'Rose', 'Julia', 'Hannah', 'Theresa', 'Judy', 'Mildred',
      'Grace', 'Beverly', 'Denise', 'Marilyn', 'Amber', 'Danielle', 'Brittany', 'Diana',
      'Jane', 'Lori', 'Olivia', 'Tiffany', 'Kathy', 'Tammy', 'Crystal', 'Madison',
  ]
  emails = [
      '@gmail.com',
      '@yahoo.com',
      '@outlook.com',
      '@hotmail.com',
      '@mailinator.com',
      '@poly.edu',
      '@nyu.edu'
  ]
  extensions = [
      '.doc', '.log', '.msg', '.rtf', '.txt', '.wpd', '.wps', '.123',
      '.csv', '.dat', '.db ', '.dll', '.mdb', '.pps', '.ppt', '.sql',
      '.wks', '.xls', '.xml', '.mng', '.pct', '.bmp', '.gif', '.jpe',
      '.jpg', '.png', '.psd', '.psp', '.tif', '.ai ', '.drw', '.dxf',
      '.eps', '.ps ', '.svg', '.3dm', '.3dm', '.ind', '.pdf', '.qxd',
      '.qxp', '.aac', '.aif', '.iff', '.m3u', '.mid', '.mid', '.mp3',
      '.mpa', '.ra ', '.ram', '.wav', '.wma', '.3gp', '.asf', '.asx',
      '.avi', '.mov', '.mp4', '.mpg', '.qt ', '.rm ', '.swf', '.wmv',
      '.asp', '.css', '.htm', '.htm', '.js ', '.jsp', '.php', '.xht',
      '.fnt', '.fon', '.otf', '.ttf', '.8bi', '.plu', '.xll', '.cab',
      '.cpl', '.cur', '.dmp', '.drv', '.key', '.lnk', '.sys', '.cfg',
      '.ini', '.reg', '.app', '.bat', '.cgi', '.com', '.exe', '.pif',
      '.vb ', '.ws ', '.deb', '.gz ', '.pkg', '.rar', '.sea', '.sit',
      '.sit', '.zip', '.bin', '.hqx', '.0 E', '.mim', '.uue', '.cpp',
      '.jav', '.pl ', '.bak', '.gho', '.old', '.ori', '.tmp', '.dmg',
      '.iso', '.toa', '.vcd', '.gam', '.nes', '.rom', '.sav', '.msi',
  ]
  
  
  def gen_sentence():
      return ' '.join(random.sample(lorems, 50))
  
  
  def gen_name():
      return random.choice(names)
  
  
  def gen_email():
      return random.choice(emails)
  
  
  def gen_category():
      return random.choice(categories)
  
  
  def gen_value():
      return random.choice(range(100, 500, 50))
  
  
  def gen_word():
      return random.choice(hipsters)
  
  
  def gen_file():
      return gen_word() + random.choice(extensions)
  
  
  def random_date(start, end):
      return start + datetime.timedelta(
          seconds=random.randint(0, int((end - start).total_seconds())))
  
  
  if __name__ == '__main__':
      with app.app_context():
          db = app.db
  
          # Generating Challenges
          print("GENERATING CHALLENGES")
          for x in range(CHAL_AMOUNT):
              word = gen_word()
              db.session.add(Challenges(word, gen_sentence(), gen_value(), gen_category()))
              db.session.commit()
              db.session.add(Keys(x + 1, word, 'static'))
              db.session.commit()
  
          # Generating Files
          print("GENERATING FILES")
          AMT_CHALS_WITH_FILES = int(CHAL_AMOUNT * (3.0 / 4.0))
          for x in range(AMT_CHALS_WITH_FILES):
              chal = random.randint(1, CHAL_AMOUNT)
              filename = gen_file()
              md5hash = hashlib.md5(filename.encode('utf-8')).hexdigest()
              db.session.add(Files(chal, md5hash + '/' + filename))
  
          db.session.commit()
  
          # Generating Users
          print("GENERATING USERS")
          used = []
          count = 0
          while count < USER_AMOUNT:
              name = gen_name()
              if name not in used:
                  used.append(name)
                  team = Teams(name, name.lower() + gen_email(), 'password')
                  team.verified = True
                  db.session.add(team)
                  count += 1
  
          db.session.commit()
  
          # Generating Solves
          print("GENERATING SOLVES")
          for x in range(USER_AMOUNT):
              used = []
              base_time = datetime.datetime.utcnow() + datetime.timedelta(minutes=-10000)
              for y in range(random.randint(1, CHAL_AMOUNT)):
                  chalid = random.randint(1, CHAL_AMOUNT)
                  if chalid not in used:
                      used.append(chalid)
                      solve = Solves(x + 1, chalid, '127.0.0.1', gen_word())
  
                      new_base = random_date(base_time, base_time + datetime.timedelta(minutes=random.randint(30, 60)))
                      solve.date = new_base
                      base_time = new_base
  
                      db.session.add(solve)
  
          db.session.commit()
  
          # Generating Awards
          print("GENERATING AWARDS")
          for x in range(USER_AMOUNT):
              base_time = datetime.datetime.utcnow() + datetime.timedelta(minutes=-10000)
              for _ in range(random.randint(0, AWARDS_AMOUNT)):
                  award = Awards(x + 1, gen_word(), random.randint(-10, 10))
                  new_base = random_date(base_time, base_time + datetime.timedelta(minutes=random.randint(30, 60)))
                  award.date = new_base
                  base_time = new_base
  
                  db.session.add(award)
  
          db.session.commit()
  
          # Generating Wrong Keys
          print("GENERATING WRONG KEYS")
          for x in range(USER_AMOUNT):
              used = []
              base_time = datetime.datetime.utcnow() + datetime.timedelta(minutes=-10000)
              for y in range(random.randint(1, CHAL_AMOUNT * 20)):
                  chalid = random.randint(1, CHAL_AMOUNT)
                  if chalid not in used:
                      used.append(chalid)
                      wrong = WrongKeys(x + 1, chalid, '127.0.0.1', gen_word())
  
                      new_base = random_date(base_time, base_time + datetime.timedelta(minutes=random.randint(30, 60)))
                      wrong.date = new_base
                      base_time = new_base
  
                      db.session.add(wrong)
  
          db.session.commit()
          db.session.close()
  