Innovative security startup generator

import random

def weighted_list_to_flat_list(l):
        output_list = []
        for k in l.keys():
            output_list.extend([k] * l[k])
        return output_list

def generate_sentence(structures, choice_mappings):
    structure = random.choice(structures)
    outputstring = ''

i = 0
    i = 0
    while i < len(structure):
        if structure[i] == '(':
            endparen = structure.find(')', i, len(structure))
            if endparen == -1:
                outputstring += structure[i]
                i += 1
            else:
                mappingid = structure[i+1:endparen]
                choicelist = weighted_list_to_flat_list(choice_mappings[mappingid])
                outputstring += random.choice(choicelist)
                i = endparen + 1
        else:
            outputstring += structure[i]
            i += 1
    return outputstring

def generate_innovative_startup_technology():
    # the dict values represent the weight of each choice. higher numbers being chosen more frequently
    counter_verbs = {'mitigate':10, 'destroy':10, 'detect and destroy':10, 'detect':10, 'hunt':10, 'prevent':10, 'thwart':10, 'eliminate':10, 'neutralize':10}
    usage_verbs = {'leverage':10, 'synergize':10, 'deploy':10, 'take advantage of':10, 'innovate':10}
    using_verbs = {'leveraging':10, 'synergizing':10, 'deploying':10, 'taking advantage of':10, 'innovating':10}

tech_adverbs = {'next generation':30, 'state-of-the-art':15, 'world-class':10, 'intelligent':10, 'cross-platform':10, 'best-of-breed':10, 'webscale':2, 'multi-OS':10, 'cloud':10, 'scalable':5, 'elastic':5, 'cloud capable':10, 'cloud-ready':10, 'enterprise':10, 'enterprise class':10, 'real-time':10}
    tech_nouns = {'agent technology':10, 'analytics':2, 'server':10, 'client':10, 'hypervisor':10, 'architecture':10, 'framework':10, 'mesh networks':1, 'mesh sensors':1, 'verticals':1, 'solution':10, 'portal':5}

problem_nouns = {'threats':10, 'malware':10, 'targeted risks':2, 'the cyber kill chain':1, 'advanced threats':10, 'advanced persistent threats':10, 'adverseries':10, 'attackers':10, 'hackers':10}

strategy_nouns = {'big data':10, 'machine learning':10, 'distributed computing':10, 'visualization':10, 'threat intelligence':10, 'threat modeling':10, 'risk analysis':2, 'cloud computing':10}

sentence_mapping = {'counter_verb':counter_verbs,
                        'usage_verb':usage_verbs,
                        'using_verb':using_verbs,
                        'tech_adverb':tech_adverbs,
                        'tech_noun':tech_nouns,
                        'problem_noun':problem_nouns,
                        'strategy_noun':strategy_nouns
                        }

phrase_structures = ['A (tech_adverb) (tech_noun) to (counter_verb) (problem_noun)',
                         'A (tech_adverb) (tech_noun) to (counter_verb) (problem_noun) with (strategy_noun)',
                         'Using (tech_adverb) (tech_noun) to (counter_verb) (problem_noun)',
                         'Using (tech_adverb) (tech_noun) to (usage_verb) (strategy_noun) to (counter_verb) (problem_noun)',
                         '(counter_verb) (problem_noun) with (tech_adverb) (strategy_noun) (tech_noun)',
                         '(counter_verb) (problem_noun) by (using_verb) (tech_adverb) (tech_noun)',
                         '(using_verb) (tech_adverb) (tech_noun) to (usage_verb) (strategy_noun) to (counter_verb) (problem_noun)'
                         '(using_verb) (tech_adverb) (tech_noun) to (counter_verb) (problem_noun)',
                         'A stealth-mode startup dedicated to (using_verb) (tech_adverb) (tech_noun) to (counter_verb) (problem_noun)']
    
    return generate_sentence(phrase_structures, sentence_mapping)
    
for i in range(0, 10):
    print " * " + generate_innovative_startup_technology()
    print

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