import inout as io

def generateChooChoo(data, target, categories):
    data = io.read(data)
    years = [x[0] for x in data]
    text = [x[2].replace('\n', '').replace(':', '') for x in data]
    target = [x[0].replace('\n', '') for x in io.read(target)]
    for i in range(len(text)):
        data[i] = text[i] + ' year:'

    if categories == {}:
        i = 0
        for x in target:
            if x not in categories: 
                categories[x] = i
                i += 1
    
    return {'data': data, 'target': target}, categories

def predictFuture(test):
    data = io.read(test)
    years = [x[0] for x in data]
    text = [x[2].replace('\n', '').replace(':', '') for x in data]
    for i in range(len(text)):
        data[i] = text[i] + ' year:'
    with open('vw-' + test, 'w', encoding='utf-8') as f:
        for text in data:
            f.write('1 |text ' + text + '\n')


if __name__ == '__main__':
    ireland_news_train, categories = generateChooChoo('train/in.tsv.xz', 'train/expected.tsv.xz', categories={})
    ireland_news_dev, _ = generateChooChoo('dev-0/in.tsv', 'dev-0/expected.tsv', categories)

    with open('vw-train', 'w', encoding='utf-8') as f:
        for target, text in zip(ireland_news_train['target'], ireland_news_train['data']):
            f.write(str(categories[target] + 1) + ' |text ' + text + '\n')

    with open('vw-dev0', 'w', encoding='utf-8') as f, open('vw-dev0-targets', 'w', encoding='utf-8') as f_targets:
        for target, text in zip(ireland_news_dev['target'], ireland_news_dev['data']):
            f.write('1 |text ' + text + '\n')
            f_targets.write(str(categories[target] + 1) + '\n')
    
    predictFuture('test-A')
    predictFuture('test-B')