import graph
from corpus.mysql.reddit import RedditMySQLCorpus

import cred

if __name__ == '__main__':
    corpus = RedditMySQLCorpus()
    corpus.setup(**(cred.kwargs))

    result = corpus.run_sql('SELECT ari FROM comment_feature_read', None)
    print('Got results')
    values = [ result[i]['ari'] for i in result ]
    graph.hist('data/ari_hist', values, 'ARI', 'Frequency', 'Frequency of ARI values')

import graph
from corpus.mysql.reddit import RedditMySQLCorpus

import cred

if __name__ == '__main__':
    corpus = RedditMySQLCorpus()
    corpus.setup(**(cred.kwargs))

    result = corpus.run_sql('SELECT * FROM comment_feature_read LIMIT 100', None)
    print('Got results')

    values = [ result[i]['ari'] for i in result ]
    graph.hist('data/ari_hist', values, 'ARI', 'Frequency',
               'Frequency of ARI values')

    values = [ result[i]['flesch_reading_ease'] for i in result ]
    graph.hist('data/flesch_reading_ease_hist', values, 'Flesch Reading Ease', 'Frequency',
               'Frequency of Flesch Reading Ease values')

    values = [ result[i]['flesch_kincaid_grade_level'] for i in result ]
    graph.hist('data/flesch_kincaid_grade_level_hist', values, 'Flesch Kincaid Grade Level', 'Frequency',
               'Frequency of Flesch Kincaid Grade Level values')

    values = [ result[i]['gunning_fog_index'] for i in result ]
    graph.hist('data/gunning_fog_index_hist', values, 'Gunning Fog Index', 'Frequency',
               'Frequency of Gunning Fog Index values')

    values = [ result[i]['smog_index'] for i in result ]
    graph.hist('data/smog_index_hist', values, 'Smog Index', 'Frequency',
               'Frequency of Smog Index values')

    values = [ result[i]['coleman_liau_index'] for i in result ]
    graph.hist('data/coleman_liau_index_hist', values, 'Coleman Liau Index', 'Frequency',
               'Frequency of Coleman Liau Index values')

    values = [ result[i]['lix'] for i in result ]
    graph.hist('data/lix_hist', values, 'LIX', 'Frequency',
               'Frequency of LIX values')

    values = [ result[i]['rix'] for i in result ]
    graph.hist('data/rix_hist', values, 'RIX', 'Frequency',
               'Frequency of RIX values')

Add other statistical measures for graphing
Add other statistical measures for graphing
